bluuebunny/crossref_metadata_2025 huggingface dataset:
Leakage rate detection of ConFlat seals in aluminum and stainless steel flanges under mechanical loads for quantum optical experiments in space
Authors: Elsen Michael , Dao Thi Thu Hien , Braxmaier Claus , Grosse Jens
Published: November 2021

Several space missions, such as quantum optical experiments or quantum sensors, require ultrahigh vacuum (UHV) systems to perform their experiments and fulfill the scientific mission goals. Most of these experiments use standard ConFlat (CF) flanges for the design of the UHV system. One of the biggest challenges for these vacuum systems during a space mission is the mechanical loads. These loads are applied during launch, stage separation, etc., as a combination of static and dynamic loads. When loads are applied, the UHV system can experience an increased leakage rate, which decreases the vacuum quality. Investigation of the rise of the leakage rate due to static loads is an important step to allow a proper design process of space suitable UHV systems. In this paper, CF DN40 flange connections will be experimentally tested for standard aluminum (AluVaC) and stainless steel (316LN-ESR, 14429-ESU) tubes. Additionally, three different bolt pretension torques of 10, 12.5, and 15 N m are tested and compared. The presented results can be used to improve the design and assembly procedure for future UHV systems, such as the MAIUS (Matter-Wave Interferometry under Microgravity) sounding rocket missions.
Population Pharmacokinetic and Concentration-QTc Analysis of Delamanid in Pediatric Participants with Multidrug-Resistant Tuberculosis
Authors: Sasaki Tomohiro , Svensson Elin M. , Wang Xiaofeng , Wang Yanlin , Hafkin Jeffrey , Karlsson Mats O. , Mallikaarjun Suresh
Published: November 2021

A population pharmacokinetic analysis of delamanid and its major metabolite DM-6705 was conducted to characterize the pharmacokinetics of delamanid and DM-6705 in pediatric participants with multidrug-resistant tuberculosis (MDR-TB). Data from participants between the ages of 0.67 and 17 years, enrolled in 2 clinical trials, were utilized for the analysis.
Diacylglycerol Kinase A Is Essential for Polymyxin Resistance Provided by EptA, MCR-1, and Other Lipid A Phosphoethanolamine Transferases
Authors: Purcell Alexandria B. , Voss Bradley J. , Trent M. Stephen
Published: November 2021

For Gram-negative bacteria, modification of a key surface structure known as lipopolysaccharide (LPS) is critical for resistance to cationic antimicrobial peptides, including the last-resort antibiotic polymyxin. One key enzyme that is critical for resistance is EptA that adds a positively charge residue to LPS, preventing polymyxin binding. Here we show that EptA can be post-translationally regulated by a key cell envelope lipid leading to changes in antibiotic resistance.
Circulatory collapse secondary to intracardiac metastasis
Authors: Elwasila Ala , Bangi Tasneem , Scott Michael , Alexander Peter
Published: November 2021

Intracardiac metastasis is a relatively rare complication of cancer; however, it should be considered when a patient presents with a prerenal injury and circulatory collapse not responsive to medical treatment or haemofiltration as in this case.
Undetectable SARS-CoV-2 active adaptive immunity—post-vaccination or post-COVID-19 severe disease—after immunosuppressants use
Authors: Adedoyin Oluwafeyi , Brijmohan Sharmela , Lavine Ross , Lisung Fausto Gabriel
Published: November 2021

Since the beginning of COVID-19 vaccination in New Jersey in December 2020, we have observed multiple cases of undetectable adaptive immunity, post-vaccination or post-COVID-19 infection, in patients using immunosuppressants. Here, we present three cases of patients using immunosuppressants: mycophenolate and tacrolimus for renal transplant; ocrelizumab for multiple sclerosis and rituximab for peripheral ulcerative keratitis. All three patients were admitted for acute respiratory distress syndrome (ARDS) from COVID-19 pneumonia; two patients reported having received full COVID-19 vaccination prior to admission and one unvaccinated patient required readmission. Our findings showed that these patients tested negative for SARS-CoV-2 IgM spike and CoV-2 IgG nucleocapsid antibodies. All three patients were treated with standard-of-care remdesivir, dexamethasone and convalescent plasma; two recovered successfully and one patient died from respiratory failure secondary to worsening ARDS from COVID-19 pneumonia. We highlight the challenges of treating immunosuppressed patients with COVID-19 pneumonia, in an era where dissemination of such information is paramount to helping doctors standardise and improve the quality of care for these patients.
Histopathology-guided management of ocular surface squamous neoplasia with corneal stromal or scleral invasion using ruthenium-106 plaque brachytherapy
Authors: Rao Raksha , Honavar Santosh G , Lahane Sumeet , Mulay Kaustubh , Reddy Vijayanand Palkonda
Published: November 2021

Background/aim

To evaluate the safety and efficacy of ruthenium-106 (Ru-106) plaque brachytherapy in managing invasive ocular surface squamous neoplasia (OSSN).

Methods

This is a retrospective, non-comparative, interventional case series of 42 eyes with OSSN with histopathologically-proven corneal stromal and/or scleral invasion that underwent Ru-106 plaque brachytherapy. Main outcome measures were tumour regression, eye salvage, final visual acuity, treatment complications and metastasis.

Results

At presentation, the mean tumour basal diameter was 9.3 mm (range 5–26 mm) and thickness 3.1 mm (range 1.5–11 mm). Prior treatment included excision biopsy in two patients (5%), incision biopsy and topical interferon in one each (2%). Following excision with 4 mm clinically clear margins, corneal stromal and/or scleral invasion of OSSN was confirmed in all 42 cases, with the excised base showing invasive squamous cell carcinoma. A total dose of 5000 cGy over a mean duration of 19.7 hours (range 7–41 hours) was provided to an axial depth of 2 mm using Ru-106 surface plaque. Over a mean follow-up of 36.9 months (range 22.3–72 months), complete tumour regression was achieved in all eyes (100%). Two eyes (5%) showed conjunctival tumour growth remote from the site of prior treatment. Visual acuity was maintained at ≥20/200 in 35 eyes (83%), with a loss of >2 Snellen lines in 1 eye (2%). There was no evidence of regional lymph node or systemic metastasis.

Conclusion

Histopathology-guided use of Ru-106 surface plaque brachytherapy is a safe and an effective adjuvant therapy in the management of corneal stromal and/or scleral invasion of OSSN.
Inequity of healthcare access and use and catastrophic health spending in slum communities: a retrospective, cross-sectional survey in four countries
Authors:   The Improving Health in Slums Collaborative
Published: November 2021

Introduction

Tracking the progress of universal health coverage (UHC) is typically at a country level. However, country-averages may mask significant small-scale variation in indicators of access and use, which would have important implications for policy choice to achieve UHC.

Methods

We conducted a retrospective cross-sectional household and individual-level survey in seven slum sites across Nigeria, Kenya, Bangladesh and Pakistan. We estimated the adjusted association between household capacity to pay and report healthcare need, use and spending. Catastrophic health expenditure was estimated by five different methods.

Results

We surveyed 7002 households and 6856 adults. Gini coefficients were wide, ranging from 0.32 to 0.48 across the seven sites. The total spend of the top 10% of households was 4–47 times more per month than the bottom 10%. Households with the highest budgets were: more likely to report needing care (highest vs lowest third of distribution of budgets: +1 to +31 percentage points (pp) across sites), to spend more on healthcare (2.0 to 6.4 times higher), have more inpatient and outpatient visits per year in five sites (1.0 to 3.0 times more frequently), spend more on drugs per visit (1.1 to 2.2 times higher) and were more likely to consult with a doctor (1.0 to 2.4 times higher odds). Better-off households were generally more likely to experience catastrophic health expenditure when calculated according to four methods (−1 to +12 pp), but much less likely using a normative method (−60 to −80 pp).

Conclusions

Slums have a very high degree of inequality of household budget that translates into inequities in the access to and use of healthcare. Evaluation of UHC and healthcare access interventions targeting these areas should consider distributional effects, although the standard measures may be unreliable.
Evaluating the psychometric properties of the Grit scale in Marine recruits using Rasch analysis
Authors: Dijksma Iris , Stuiver M , Lucas C , Lindeboom R
Published: November 2021

Introduction

Successful completion of initial military training has been suggested to be predicted by physical abilities, cognitive abilities and non-cognitive abilities such as hardiness and grit. This study aimed to assess the psychometric properties of a Dutch version of a grit measurement scale: the NL-Grit scale.

Methods

We assessed the factor structure, unidimensionality of the subscales, discriminative quality of the rating scale and investigated to what extend the items together can reliably measure the entire range of grit levels in Dutch Marine recruits. We used data of Marine recruit training platoons of the Royal Netherlands Marine Corps.

Results

Principal component analysis reflected two subscales: ‘consistency of interests’ and ‘perseverance of effort’. Rasch analysis confirmed the unidimensionality of the intended subscales. Rasch rating scale analysis indicated that the five-point response scale was not used as intended by respondents. Disordered rating scale categories were collapsed to obtain ordered rating categories. The item and person parameters (grit levels) largely overlapped, indicating that the item spread was sufficient for measuring the entire range of grit trait levels. However, larger gaps between item location parameters suggested a low discriminative capacity of the NL-Grit scale for respondents with trait levels within the gaps.

Conclusion

Our evaluation of the NL-Grit scale suggests sound psychometric quality of the NL-Grit in Dutch Marine recruits. Reliability could be improved by adding items to fill the observed gaps in item content.
Child restraint use in motor vehicles in Shanghai, China: a multiround cross-sectional observational study
Authors: Chen Ting , Bachani Abdul M , Li Qingfeng
Published: November 2021

Objectives

While appropriate child restraint use in motor vehicles can reduce the risk of injuries or deaths, few previous studies have assessed child restraint practice in China. We aim to describe the prevalence of child restraint use and investigate risk factors affecting child restraint practice in Shanghai, China.

Design and setting

A cross-sectional observational study was conducted near children’s hospitals, kindergartens, entertainment places and shopping malls in Shanghai, China.

Participants

Eight rounds of data were collected between October 2015 and April 2019 with a total sample size of 12 061 children.

Primary outcome measures

At each site, trained field workers observed and recorded child restraint use in all passing motor vehicles with at least one child passenger.

Results

The overall child safety restraint use rate was 6.42%. Child restraint use rate rose over time, from 5.12% in round 1% to 8.55% in round 8 (p<0.001). Results from the adjusted logistic regression model showed that children occupants with the following risk factors had a higher likelihood of child restraint use: children younger than 5 years compared with those aged 5–12 years (OR 2.12; 95% CI 1.78 to 2.53; p<0.001), sitting in rear seat compared with those in front seat (OR 31.80; 95% CI 4.45 to 227.14; p=0.001), children occupants observed near entertainment places (OR 2.34; 95% CI 1.67 to 3.28; p<0.001) or near shopping malls (OR 1.86; 95% CI 1.36 to 2.55; p<0.001) compared with those near children’s hospitals and transportation in the morning compared with afternoon (OR 1.30; 95% CI 1.04 to 1.62; p=0.021).

Conclusions

The overall child safety restraint use rate was low in Shanghai. Our findings may shed light on monitoring child restraint practice and have implications for intervention programmes for children occupants with the identified risk factors, which may help to promote child restraint use in motor vehicles and prevent road traffic injuries or deaths.
Cohort profile: the Women’s Health Accelerometry Collaboration
Authors: Evenson Kelly R , Bellettiere John , Cuthbertson Carmen C , Di Chongzhi , Dushkes Rimma , Howard Annie Green , Parada Jr. Humberto , Schumacher Benjamin T , Shiroma Eric J , Wang Guangxing , Lee I-Min , LaCroix Andrea Z
Published: November 2021

Purpose

This paper describes the Women’s Health Accelerometry Collaboration, a consortium of two prospective cohort studies of women age 62 years or older, harmonised to explore the association of accelerometer-assessed physical activity and sedentary behaviour with cancer incidence and mortality.

Participants

A total of 23 443 women (age mean 73.4, SD 6.8) living in the USA and participating in an observational study were included; 17 061 from the Women’s Health Study (WHS) and 6382 from the Women’s Health Initiative Objective Physical Activity and Cardiovascular Health (WHI/OPACH) Study.

Findings to date

Accelerometry, cancer outcomes and covariate harmonisation was conducted to align the two cohort studies. Physical activity and sedentary behaviour were measured using similar procedures with an ActiGraph GT3X+ accelerometer, worn at the hip for 1 week, during 2011–2014 for WHS and 2012–2014 for WHI/OPACH. Cancer outcomes were ascertained via ongoing surveillance using physician adjudicated cancer diagnosis. Relevant covariates were measured using questionnaire or physical assessments. Among 23 443 women who wore the accelerometer for at least 10 hours on a single day, 22 868 women wore the accelerometer at least 10 hours/day on ≥4 of 7 days. The analytical sample (n=22 852) averaged 4976 (SD 2669) steps/day and engaged in an average of 80.8 (SD 46.5) min/day of moderate-to-vigorous, 105.5 (SD 33.3) min/day of light high and 182.1 (SD 46.1) min/day of light low physical activity. A mean of 8.7 (SD 1.7) hours/day were spent in sedentary behaviour. Overall, 11.8% of the cohort had a cancer diagnosis (other than non-melanoma skin cancer) at the time of accelerometry measurement. During an average of 5.9 (SD 1.6) years of follow-up, 1378 cancer events among which 414 were fatal have occurred.

Future plans

Using the harmonised cohort, we will access ongoing cancer surveillance to quantify the associations of physical activity and sedentary behaviour with cancer incidence and mortality.
Characteristics of low-acuity paediatric emergency department consultations in two tertiary hospitals in Switzerland: a retrospective observational study
Authors: Jaboyedoff Manon , Starvaggi Carl , Suris Joan-Carles , Kuehni Claudia E , Gehri Mario , Keitel Kristina , Pellaton Rachel
Published: November 2021

Background

Low-acuity paediatric emergency department (PED) visits are common in high-income countries and are an increasing burden for the healthcare system and quality of care. Little is known about low-acuity PED visits in Switzerland. This study shows frequency and characteristics of such visits in two large PEDs in German-speaking and French-speaking regions of Switzerland.

Methods

We conducted a retrospective observational study in the PED of two Swiss tertiary care hospitals, Bern and Lausanne. We extracted standardised administrative and medical data from the clinic information system for all PED visits of children aged 0–17 years from January to December 2018. We defined low-acuity visits as those meeting all of the following criteria: (1) triage category 4 or 5 on the Australasian Triage Scale, (2) no imaging or laboratory test performed and (3) discharge home. We used a binary multiple logistic regression model to identify factors associated with low-acuity visits.

Results

We analysed 53 089 PED visits. The proportion of low-acuity visits was 54% (95% CI 53% to 54%, 28 556 visits). Low-acuity visits were associated with age younger than 5 years (adjusted OR, aOR 1.87, 95% CI 1.81 to 1.94), living within a 5 km radius of PED (aOR 1.27, 95% CI 1.22 to 1.32), and after hour presentations (weekends: aOR 1.14, 95% CI 1.10 to 1.18, nights: aOR 1.10, 95% CI 1.23 to 1.36).

Conclusion

Low-acuity visits are frequent in our PEDs and associated with younger age and convenience factors (proximity of residency and after hour presentation), pointing to a high demand for paediatric urgent care services in Switzerland not currently covered by the primary healthcare system.
Immune checkpoint blocking impact and nomogram prediction of COVID-19 inactivated vaccine seroconversion in patients with cancer: a propensity-score matched analysis
Authors: Ma Yifei , Liu Nianqi , Wang Youlong , Zeng Jiling , Hu Ying-Ying , Hao Wu , Shi Huazheng , Zhu Pengfei , Lv Jun , Fan Wei , Wang Xinjia
Published: November 2021

Background

Patients with cancer on active immune checkpoint inhibitors therapy were recommended to seek prophylaxis from COVID-19 by vaccination. There have been few reports to date to discuss the impact of progression cell death-1 blockers (PD-1B) on immune or vaccine-related outcomes, and what risk factors that contribute to the serological status remains to be elucidated. The study aims to find the impact of PD-1B on vaccination outcome and investigate other potential risk factors associated with the risk of seroconversion failure.

Methods

Patients with active cancer treatment were retrospectively enrolled to investigate the interaction effects between PD-1B and vaccination. Through propensity score matching of demographic and clinical features, the seroconversion rates and immune/vaccination-related adverse events (irAE and vrAE) were compared in a head-to-head manner. Then, a nomogram predicting the failure risk was developed with variables significant in multivariate regression analysis and validated in an independent cohort.

Results

Patients (n=454) receiving either PD-1B or COVID-19 vaccination, or both, were matched into three cohorts (vac+/PD-1B+, vac+/PD-1B-, and vac-/PD-1B+, respectively), with a non-concer control group of 206 participants. 68.1% (94/138), 71.3% (117/164), and 80.5% (166/206) were seropositive in vac+/PD-1B+cohort, vac+/PD-1B- cohort, and non-cancer control group, respectively. None of irAE or vrAE was observed to be escalated in PD-1B treatment except for low-grade rash.The vaccinated patients with cancer had a significantly lower rate of seroconversion rates than healthy control. A nomogram was thus built that encompassed age, pathology, and chemotherapy status to predict the seroconversion failure risk, which was validated in an independent cancer cohort of 196 patients.

Conclusion

Although patients with cancer had a generally decreased rate of seroconversion as compared with the healthy population, the COVID-19 vaccine was generally well tolerated, and seroconversion was not affected in patients receiving PD-1B. A nomogram predicting failure risk was developed, including age, chemotherapy status, pathology types, and rheumatic comorbidity.
Experimental investigation of 90° intake flow patterns with and without submerged vanes under sediment feeding conditions
Authors: Bor Aslı
Published: November 2021

In this study, two experiments were conducted in a 90° water intake to study 3D flow patterns and sediment distribution using submerged vanes under sediment feeding and live-bed conditions. One column three vanes were installed at a 20° angle maintaining for a water discharge ratio of qr ≈ 0.1. Three-dimensional mean and turbulent velocity components of flow in a 90° channel intake were measured using acoustic Doppler velocimetry (ADV). Flow characteristics of the intake structure area with no vanes were compared with these conditions. Results showed that three vanes with a single column reduced the amount of sediment by 20% during intake diversion. In the downstream corner of the intake, high velocities were measured where scouring occurred. The vanes affected the intensity of secondary flow, turbulence energy, flow separation, and moved sediment deposition downstream of the main channel.
Comment on “Linear and bent triatomic molecules are not qualitatively different!”
Authors: Amano T.
Published: November 2021

Jensen (Can. J. Phys. 98, 506 (2020). doi: 10.1139/cjp-2019-0395 ) presents theoretical justification for the claim that linear triatomic molecules are necessarily observed to be bent. The basis of the assertion is that the expectation value of the supplement of the bending angle, [Formula: see text] used in Jensen’s paper, is calculated to be positive. In this comment, we examine the interpretation of the expectation values of [Formula: see text] in stationary states, and indicate that Jensen’s claim contradicts a basic principle of quantum mechanics that the energy and geometrical variables cannot have definite values at the same time.
Adsorption of helium on a charged propeller molecule: hexaphenylbenzene
Authors: Kollotzek Siegfried , Calvo Florent , Krasnokutski Serge , Zappa Fabio , Scheier Paul , Echt Olof
Published: November 2021

Physisorption on planar or curved graphitic surfaces or aromatic rings has been investigated by various research groups, but in these studies, the substrate was usually strictly rigid. Here, we report a combined experimental and theoretical study of helium adsorption on cationic hexaphenylbenzene (HPB), a propeller-shaped molecule. The orientation of its propeller blades is known to be sensitive to the environment, with substantial differences between the molecule in the gas phase and in the crystalline solid. Mass spectra of He$$_{n}$$

n

HPB$$^{+}$$

+

, synthesized in helium nanodroplets, indicate enhanced stability for ions containing $$n = 2, 4, 14, 28, 42, 44$$

n
=
2
,
4
,
14
,
28
,
42
,
44

, or 46 helium atoms. Path-integral molecular dynamics simulations reveal a significant dependence of the dissociation energy on the details of the HPB geometry. Good agreement between the experimental data and calculated dissociation energies is obtained, provided that the symmetry of HPB$$^{+}$$

+

is reduced from $$D_{6}$$

D
6

to $$D_{2}$$

D
2

, such a lower symmetry being suggested from quantum chemical calculations as arising upon electron removal.

Graphic Abstract
New species of fermions and bosons, cosmological constant problem and a farewell to spin–statistics theorem
Authors: Ahluwalia Dharam Vir
Published: November 2021

If dark matter exists in the form of ultralight fermionic and bosonic species, then (a) it can accelerate evaporation of astrophysical black holes to the extent that their lifetimes can be reduced to astronomical time scales, a and (b) if there are extremely large number of such species it has the potential to solve the hierarchy problem [H. Davoudiasl, P. B. Denton and D. A. McGady, Phys. Rev. D 103 (2021) 055014; G. Dvali, Fortschr. Phys. 58 (2010) 528]. Here, we put forward a proposal that darkness of many of these new particles is natural, and in addition, the net zero point energy of the fermions exactly cancels that coming from the new bosons. The needed fermion–boson equality, and matching the fermion–boson degrees of freedom, comes about naturally. A very direct argument that allows the departure from the spin–statistics theorem is presented.

a This happens in two steps: first, the relatively rapid evaporation of the ultralight particles, and the second slower one associated with a hundred or so ‘heavier’ particles of the standard model.
Wavelet neural networks functional approximation and application
Authors: Zeglaoui Anis , Ben Mabrouk Anouar , Kravchenko Oleg V.
Published: November 2021

Approximation theory constitutes a useful field that is related to quasi all other fields, in both theoretical and applied sciences. In approximation theory, the aim is generally to construct an idea about a function that is usually impossible or difficult to evaluate directly, and which is usually unknown. Such functions appear widely in PDE, probability law distributions, statistical modeling, etc. Some of the most known approximators nowadays are neural networks and wavelets, which constitute good classes of elementary functions permitting as efficiently as possible to describe functions in appropriate spaces. This paper aims to develop combined neural networks and wavelet approximators for functions, based on the involvement of wavelets as activation functions. Some necessary conditions on the activation function to approximate [Formula: see text] and [Formula: see text]-elements are relaxed as well as those on the measure [Formula: see text]. We prove that for a wavelet activation function, any element of [Formula: see text] as well as [Formula: see text] can be well approximated for arbitrary measures [Formula: see text]. The theoretical results are subject to an experimental application in order to show their effectiveness.
Linear fractional group as Galois group
Authors: Kundu Lokenath
Published: November 2021

We compute all signatures of [Formula: see text] and [Formula: see text] which classify all orientation preserving actions of the groups [Formula: see text] and [Formula: see text] on compact, connected, orientable surfaces with orbifold genus [Formula: see text]. This classification is well-grounded in the other branches of Mathematics like topology, smooth and conformal geometry, algebraic categories, and it is also directly related to the inverse Galois problem.
Computer-aided diagnosis of retinopathy based on vision transformer
Authors: Jiang Zhencun , Wang Lingyang , Wu Qixin , Shao Yilei , Shen Meixiao , Jiang Wenping , Dai Cuixia
Published: November 2021

Age-related Macular Degeneration (AMD) and Diabetic Macular Edema (DME) are two common retinal diseases for elder people that may ultimately cause irreversible blindness. Timely and accurate diagnosis is essential for the treatment of these diseases. In recent years, computer-aided diagnosis (CAD) has been deeply investigated and effectively used for rapid and early diagnosis. In this paper, we proposed a method of CAD using vision transformer to analyze optical coherence tomography (OCT) images and to automatically discriminate AMD, DME, and normal eyes. A classification accuracy of 99.69% was achieved. After the model pruning, the recognition time reached 0.010 s and the classification accuracy did not drop. Compared with the Convolutional Neural Network (CNN) image classification models (VGG16, Resnet50, Densenet121, and EfficientNet), vision transformer after pruning exhibited better recognition ability. Results show that vision transformer is an improved alternative to diagnose retinal diseases more accurately.
Accurate Modeling of RNA Hairpins Through the Explicit Treatment of Electronic Polarizability with the Classical Drude Oscillator Force Field
Authors: Sengul Mert Y. , MacKerell Alexander D.
Published: November 2021

Molecular dynamics (MD) simulations play a crucial role in modeling biomolecular systems in which the electrostatic interactions are critical in dictating the structural and dynamical properties. Thus, the treatment of the electrostatic interactions defined in the underlying force field (FF) strongly affects the simulation accuracy. Most FFs use fixed partial atomic charges to include electrostatic interactions, and therefore lack the electronic polarization response, representing an intrinsic limitation. To address this limitation, polarizable FFs have been developed that treat atomic polarizabilities explicitly. Here we present the application of the all-atom polarizable (Drude) and non-polarizable (CHARMM) nucleic acid FFs in RNA hairpin systems to investigate the impact of polarization on structural properties, dipole moment distributions, and cation interactions. Results show that the presence of polarizability in the FF significantly improves the stabilization of RNA hairpin structure. As expected, the distributions of dipole moments show more fluctuations when simulated using the polarizable FF, with the variation in dipoles contributing to the stabilization of the structures of the loop regions of the RNAs. Contact map analyses between the bases and cations show that the variation of the ion distribution around the entire hairpin is larger for the polarizable FF and the cations occupy the outer hydration shell to a greater extent. The presented results indicate the importance of the explicit treatment of electronic polarizability in molecular simulations of RNA, including in non-canonical regions.
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model
Authors: Qiao Shaojie , Han Nan , Huang Jianbin , Yue Kun , Mao Rui , Shu Hongping , He Qiang , Wu Xindong
Published: November 2021

Bike-sharing systems are becoming popular and generate a large volume of trajectory data. In a bike-sharing system, users can borrow and return bikes at different stations. In particular, a bike-sharing system will be affected by weather, the time period, and other dynamic factors, which challenges the scheduling of shared bikes. In this article, a new shared-bike demand forecasting model based on dynamic convolutional neural networks, called
SDF
, is proposed to predict the demand of shared bikes. SDF chooses the most relevant weather features from real weather data by using the Pearson correlation coefficient and transforms them into a two-dimensional dynamic feature matrix, taking into account the states of stations from historical data. The feature information in the matrix is extracted, learned, and trained with a newly proposed dynamic convolutional neural network to predict the demand of shared bikes in a dynamical and intelligent fashion. The phase of parameter update is optimized from three aspects: the loss function, optimization algorithm, and learning rate. Then, an accurate shared-bike demand forecasting model is designed based on the basic idea of minimizing the loss value. By comparing with classical machine learning models, the weight sharing strategy employed by SDF reduces the complexity of the network. It allows a high prediction accuracy to be achieved within a relatively short period of time. Extensive experiments are conducted on real-world bike-sharing datasets to evaluate SDF. The results show that SDF significantly outperforms classical machine learning models in prediction accuracy and efficiency.
Empirical Evaluation of Shallow and Deep Learning Classifiers for Arabic Sentiment Analysis
Authors: Nassif Ali Bou , Darya Abdollah Masoud , Elnagar Ashraf
Published: November 2021

This work presents a detailed comparison of the performance of deep learning models such as convolutional neural networks, long short-term memory, gated recurrent units, their hybrids, and a selection of shallow learning classifiers for sentiment analysis of Arabic reviews. Additionally, the comparison includes state-of-the-art models such as the transformer architecture and the araBERT pre-trained model. The datasets used in this study are multi-dialect Arabic hotel and book review datasets, which are some of the largest publicly available datasets for Arabic reviews. Results showed deep learning outperforming shallow learning for binary and multi-label classification, in contrast with the results of similar work reported in the literature. This discrepancy in outcome was caused by dataset size as we found it to be proportional to the performance of deep learning models. The performance of deep and shallow learning techniques was analyzed in terms of accuracy and F1 score. The best performing shallow learning technique was Random Forest followed by Decision Tree, and AdaBoost. The deep learning models performed similarly using a default embedding layer, while the transformer model performed best when augmented with araBERT.
Classi-Fly: Inferring Aircraft Categories from Open Data
Authors: Strohmeier Martin , Smith Matthew , Lenders Vincent , Martinovic Ivan
Published: November 2021

In recent years, air traffic communication data has become easy to access, enabling novel research in many fields. Exploiting this new data source, a wide range of applications have emerged, from weather forecasting to stock market prediction, or the collection of intelligence about military and government movements. Typically, these applications require knowledge about the metadata of the aircraft, specifically its operator and the aircraft category.

armasuisse Science + Technology, the R&D agency for the Swiss Armed Forces, has been developing Classi-Fly, a novel approach to obtain metadata about aircraft based on their movement patterns. We validate Classi-Fly using several hundred thousand flights collected through open source means, in conjunction with ground truth from publicly available aircraft registries containing more than 2 million aircraft. We show that we can obtain the correct aircraft category with an accuracy of greater than 88%. In cases, where no metadata is available, this approach can be used to create the data necessary for applications working with air traffic communication. Finally, we show that it is feasible to automatically detect particular sensitive aircraft such as police and surveillance aircraft using this method.
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation
Authors: Ji Weiyu , Meng Xiangwu , Zhang Yujie
Published: November 2021

POI recommendation has become an essential means to help people discover attractive places. Intuitively, activities have an important impact on users’ decision-making, because users select POIs to attend corresponding activities. However, many existing studies ignore the social motivation of user behaviors and regard all check-ins as influenced only by individual user interests. As a result, they cannot model user preferences accurately, which degrades recommendation effectiveness. In this article, from the perspective of activities, this study proposes a probabilistic generative model called STARec. Specifically, based on the social effect of activities, STARec defines users’ social preferences as distinct from their individual interests and combines these with individual user activity interests to effectively depict user preferences. Moreover, the inconsistency between users’ social preferences and their decisions is modeled. An activity frequency feature is introduced to acquire accurate user social preferences because of close correlation between these and the key impact factor of corresponding check-ins. An alias sampling-based training method was used to accelerate training. Extensive experiments were conducted on two real-world datasets. Experimental results demonstrated that the proposed STARec model achieves superior performance in terms of high recommendation accuracy, robustness to data sparsity, effectiveness in handling cold-start problems, efficiency, and interpretability.
The
Footprint
of Factorization Models and Their Applications in Collaborative Filtering
Authors: Wang Jinze , Ren Yongli , Li Jie , Deng Ke
Published: November 2021

Factorization models have been successfully applied to the recommendation problems and have significant impact to both academia and industries in the field of
Collaborative Filtering
(
CF
). However, the intermediate data generated in factorization models’
decision making process
(or
training process
,
footprint
) have been overlooked even though they may provide rich information to further improve recommendations. In this article, we introduce the concept of Convergence Pattern, which records how ratings are learned step-by-step in factorization models in the field of CF. We show that the concept of Convergence Patternexists in both the model perspective (e.g., classical
Matrix Factorization
(
MF
) and deep-learning factorization) and the training (learning) perspective (e.g.,

stochastic gradient descent

(
SGD
),

alternating least squares

(
ALS
), and

Markov Chain Monte Carlo

(
MCMC
)). By utilizing the Convergence Pattern, we propose a prediction model to estimate the prediction reliability of missing ratings and then improve the quality of recommendations. Two applications have been investigated: (1) how to evaluate the reliability of predicted missing ratings and thus recommend those ratings with high reliability. (2) How to explore the estimated reliability to adjust the predicted ratings to further improve the predication accuracy. Extensive experiments have been conducted on several benchmark datasets on three recommendation tasks: decision-aware recommendation, rating predicted, and Top-
N
recommendation. The experiment results have verified the effectiveness of the proposed methods in various aspects.
Microbiomes and Obligate Symbiosis of Deep-Sea Animals
Authors: Osman Eslam O. , Weinnig Alexis M.
Published: November 2021

Microbial communities associated with deep-sea animals are critical to the establishment of novel biological communities in unusual environments. Over the past few decades, rapid exploration of the deep sea has enabled the discovery of novel microbial communities, some of which form symbiotic relationships with animal hosts. Symbiosis in the deep sea changes host physiology, behavior, ecology, and evolution over time and space. Symbiont diversity within a host is often aligned with diverse metabolic pathways that broaden the environmental niche for the animal host. In this review, we focus on microbiomes and obligate symbionts found in different deep-sea habitats and how they facilitate survival of the organisms that live in these environments. In addition, we discuss factors that govern microbiome diversity, host specificity, and biogeography in the deep sea. Finally, we highlight the current limitations of microbiome research and draw a road map for future directions to advance our knowledge of microbiomes in the deep sea.
Navigating Accent Variation: A Developmental Perspective
Authors: Johnson Elizabeth K. , van Heugten Marieke , Buckler Helen
Published: November 2021

Adult processing of other-accented speech is fast, dependent on lexical access, and readily generalizable to new words. But what does children's processing of other-accented speech look like? Although many acquisition researchers have emphasized how other-accented speech presents a formidable challenge to young children, we argue that the field has perhaps underestimated children's early accent processing abilities. In support of this view, we present evidence that 2-year-olds’ accent processing abilities appear to be in many respects adult-like, and discuss the growing literature on children's ability to cope with multi-accent input in the natural world. We outline different theoretical outlooks on the transition children make from infancy to later childhood, and discuss how the growing sophistication of infants’ accent processing abilities feeds into their social perception of the world (and perhaps vice versa). We also argue that efficient processing and meaningful interpretation of accent variation are fundamental to human cognition, and that early proficiency with accent variation (along with all of the implied representational and learning capacities) is difficult to explain without assuming the early emergence of abstract speech representations.
Postprocessing of MCMC
Authors: South Leah F. , Riabiz Marina , Teymur Onur , Oates Chris J.
Published: November 2021

Markov chain Monte Carlo is the engine of modern Bayesian statistics, being used to approximate the posterior and derived quantities of interest. Despite this, the issue of how the output from a Markov chain is postprocessed and reported is often overlooked. Convergence diagnostics can be used to control bias via burn-in removal, but these do not account for (common) situations where a limited computational budget engenders a bias-variance trade-off. The aim of this article is to review state-of-the-art techniques for postprocessing Markov chain output. Our review covers methods based on discrepancy minimization, which directly address the bias-variance trade-off, as well as general-purpose control variate methods for approximating expected quantities of interest.
An Unusual Presentation of Catatonia-Like Behavior: Differentiating Malingering from Catatonia
Authors: Wang Andy Y. , Rehman Urrooj H.
Published: November 2021

Malingering involves the intentional production of physical or psychological behaviors due to motivation from external incentives, posing unique challenges to healthcare. Although malingering as an entity has been well studied, the current literature does not explore the intentional production of catatonia-like behavior or how to differentiate malingering from catatonia. Here, we describe a 45-year-old female who was admitted to an acute psychiatric hospital with a complex presentation of catatonia-like signs that was ultimately thought to be volitional behavior, resulting in a diagnosis of malingering. We highlight the important factors considered in her presentation, the differences between her behaviors and true catatonia, and other important differential diagnoses to consider. Although a diagnosis of malingering is difficult to make, we underscore the importance of reaching this conclusion in order to avoid unnecessary and potentially harmful medical interventions. We stress the importance of shifting focus from medical management to more appropriate patient goals such as providing social services and treatment of other underlying psychiatric illnesses.
Multitask Learning for Aspect-Based Sentiment Classification
Authors: Yao Chunhua , Song Xinyu , Zhang Xuelei , Zhao Weicheng , Feng Ao
Published: November 2021

Aspect-level sentiment analysis identifies the sentiment polarity of aspect terms in complex sentences, which is useful in a wide range of applications. It is a highly challenging task and attracts the attention of many researchers in the natural language processing field. In order to obtain a better aspect representation, a wide range of existing methods design complex attention mechanisms to establish the connection between entity words and their context. With the limited size of data collections in aspect-level sentiment analysis, mainly because of the high annotation workload, the risk of overfitting is greatly increased. In this paper, we propose a Shared Multitask Learning Network (SMLN), which jointly trains auxiliary tasks that are highly related to aspect-level sentiment analysis. Specifically, we use opinion term extraction due to its high correlation with the main task. Through a custom-designed Cross Interaction Unit (CIU), effective information of the opinion term extraction task is passed to the main task, with performance improvement in both directions. Experimental results on SemEval-2014 and SemEval-2015 datasets demonstrate the competitive performance of SMLN in comparison to baseline methods.
Monitoring Dynamic Deformation of Building Using Unmanned Aerial Vehicle
Authors: Ge Yongquan , Yu Xianzhi , Chen Mingzhi , Yu Chengxin , Liu Yingchun , Zhang Guojian
Published: November 2021

The height irregularity and complexity of steel structures bring difficulties to dynamic deformation monitoring. PDMS (photogrammetric dynamic monitoring system) can obtain the dynamic deformation of the steel structure, but the flexibility of monitoring is limited because the camera station can only be placed on the ground. In this study, UAV (unmanned aerial vehicle) -PDMS is innovatively proposed to be used in monitoring dynamic deformation of steel structures, and it is verified in the steel frame test and Jinan Olympic Sports Center Tennis Stadium test. To solve the problem that the attitude of UAV cannot be strictly maintained in the hovering process, the improved Z-MP (zero-centered motion parallax) method is used, and the monitoring results are compared with the original Z-MP method. The feasibility of UAV-PDMS applied to steel structure deformation monitoring and the feasibility of improving the Z-MP method to reduce UAV hovering error are verified. The monitoring results showed that the steel structures of the Jinan Olympic Sports Center Tennis Stadium were robust, and the deformations were elastic and within the permissible value.
MRI Visualization and Distribution Patterns of Foreign Modeling Agents: A Brief Pictorial Review for Clinicians
Authors: Gonzalez-Hermosillo Leslie-Marisol , Ramos-Pacheco Victor-Hugo , Gonzalez-Hermosillo Daisy-Carolina , Cervantes-Sanchez Alicia-Maria-del-Consuelo , Vega-Gutierrez Alejandro-Eduardo , Ternovoy Sergey K. , Roldan-Valadez Ernesto
Published: November 2021

Since the ancient Egyptians, people have always been worried about their physical appearance. Nowadays, for some cultures like Latin American, physical appearance depends on the context, and the concept of beauty is to have wider hips and more prominent buttocks. One way to achieve these goals is to inject foreign modelants that include some oils to modify certain body regions. Until today, the search continues to find a modelling agent that is nonteratogenic, noncarcinogenic, and not susceptible to infection and can stay at the spot where it was injected (not migration). This review is aimed at providing a brief, comprehensive assessment of the use of modeling agents and summarizes some key imaging features of filler‐related complications. The topics of this review are historical data, epidemiology, classification of dermal fillers (xenografts, hyaluronic acid derivatives, autografts, homografts, synthetic materials), adverse reactions, imaging method used in the detection of injectable fillers, MRI patterns observed in complications of injectable fillers, and histological findings of immune response, treatment, and conclusions. We present several classifications of injectable fillers based on composition, degradation, and complications. Additionally, readers will find some representative cases of the most common locations of injectable fillers demonstrating their infiltrative MRI patterns.
Mechanical Properties of Concrete Incorporating Rice Husk Ash and Wheat Straw Ash as Ternary Cementitious Material
Authors: Bheel Naraindas , Awoyera Paul , Shar Irfan Ali , Sohu Samiullah , Abbasi Suhail Ahmed , Krishna Prakash A.
Published: November 2021

Over the last decade, there has been a surge in research into possible cement substitute materials in concrete that are environmentally friendly, cost‐effective, and socially beneficial. The alternatives include industrial and agricultural wastes, and their potential advantages can be achieved through recycling, repurposing, and renewing processes. With the use of these wastes as additional and replacement materials, significant energy savings and a reduction in cement use can be achieved, which helps to reduce carbon dioxide (CO2) emissions in the environment. Therefore, the use of rice husk ash (RHA) and wheat straw ash (WSA) as ternary cementitious material (TCM) in concrete can help reduce the impact on the environment and minimize the use of Portland cement (PC) in the concrete mixture. This research work is performed on the concrete blended with 0%, 5%, 10%, 15%, and 20% of RHA and WSA as TCM in the mixture. However, the purpose of this experimental work is to investigate the influence of RHA and WSA as TCM on the fresh (slump), physical (water absorption and density), and hardened properties (compressive strength, splitting tensile strength, and flexural strength) and drying shrinkage of concrete. In this regard, a total of 240 concrete samples (cylinders, cubes, and beams) were prepared with 1 : 2 : 4 mix proportions at 0.50 water‐cement ratio and cured at 7 and 28 days, respectively. Moreover, the workability of green concrete is getting reduced as the quantity of TCM increases in the mixture. Besides, the compressive strength, splitting tensile strength, and flexural strength are enhanced by 12.65%, 9.40%, and 9.46% at 10% of TCM (5% RHA and 5% WSA) on 28 days consistently. Furthermore, the density and water absorption of concrete are reduced with the increase in the dosages of TCM on 28 days, respectively. In addition, the drying shrinkage is reduced with the increase in the quantity of TCM in concrete.