bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ancient mural classification methods based on a multichannel separable network
Authors: Cao Jianfang , Jia Yiming , Chen Huiming , Yan Minmin , Chen Zeyu 
Published: July 2021

Abstract
Ancient murals are of high artistic value and boast rich content. The accurate classification of murals is a challenging task for researchers and can be arduous even for experienced researchers. The image classification algorithms currently available are not effective in the classification of mural images with strong background noise. A new multichannel separable network model (MCSN) is proposed in this study to solve this issue. Using the GoogLeNet network model as the basic framework, we adopt a small convolution kernel for the extraction of the shallow-layer background features of murals and then decompose larger, two-dimensional convolution kernels into smaller convolution kernels, for example, 7 × 7 and 3 × 3 kernels into 7 × 1 and 1 × 7 kernels and 3 × 1 and 1 × 3 kernels, respectively, to extract important deep-layer feature information. A soft thresholding activation scaling strategy is adopted to enhance the stability of the network during training, and finally, the murals are classified through the softmax layer. A minibatch SGD algorithm is employed to update the parameters. The accuracy, recall and F1-score reached 88.16%, 90.01%, and 90.38%, respectively. Compared with mainstream classification algorithms, the model demonstrates improvement in terms of classification accuracy, generalizability, and stability to a certain extent, supporting its suitability in efficiently classifying murals.
Seasonal variation of inter-hemispheric field-aligned currents deduced from time-series analysis of the equatorial geomagnetic field data during solar cycle 23–24
Authors: Ranasinghe Manjula , Fujimoto Akiko , Yoshikawa Akimasa , Jayaratne Chandana 
Published: July 2021

AbstractThe east–west component of magnetic field variation (∆D-component) at Davao station (Philippines, geomagnetic latitude: – 2.22˚N) are used to investigate the characteristics of the long-term Inter-Hemispheric Field-Aligned Currents (IHFACs) based on the time-series analysis from August 1998 to July 2020. Recent in situ satellite and ground-based observations have reported that dusk-side current polarity of IHFAC is often opposite to that of the noon IHFAC, being inconsistent with Fukushima's IHFACs model. We investigated the consistency of the dusk-side IHFAC polarity derived from the observations with the polarity expected from Fukushima’s IHFACs model and examined the solar cycle dependence of IHFACs. It was confirmed that the dusk-side IHFACs during June and December solstices flow in the same direction of the noontime IHFACs, which was consistent with the IHFAC polarities suggested by the Fukushima model. The dusk-side IHFACs around March and September–November months disagreed with the Fukushima model. The ∆D variations clearly showed seasonal asymmetry in the dawn and noon sectors, whereas the ∆D variations in the dusk sector demonstrated seasonal symmetry. Solar cycle dependence of IHFACs was exhibited in the dusk sector. For the dawn and noon sectors, the yearly peak-to-peak ∆D amplitude in the later solar cycle SC24 decreased by about 35% in comparison with the earlier solar cycle SC23. In contrast, the dusk-side yearly peak-to-peak ∆D amplitude increased by about 200%. The dusk-side IHFAC yearly amplitude tended to be in inverse proportion to solar activity.
The use of augmented reality for limb and component alignment in total knee arthroplasty: systematic review of the literature and clinical pilot study
Authors: Iacono V. , Farinelli L. , Natali S. , Piovan G. , Screpis D. , Gigante A. , Zorzi C. 
Published: July 2021

Abstract
Purpose
A systematic review of the literature has been carried out to assess the actual evidence of the use of augmented reality in total knee arthroplasty (TKA). We then conducted a pilot clinical study to examine the accuracy of the Knee + augmented reality navigation in performing TKA. The present augmented reality (AR) system allows the surgeon to view the tibial and femur axis superimposed on the surgical field through the smart glasses. It provides real-time information during surgery and intraoperative feedback.

Methods
A systematic review of the PubMed, MEDLINE, and Embase databases up to May 2021 using the keywords “augmented reality”, “knee arthroplasty”, “computer assisted surgery”, “navigation knee arthroplasty” was performed by two independent reviewers. We performed five TKAs using the Knee + system. Patients were 4 females, with mean age of 76.4 years old (range 73–79) and mean Body Max Index (BMI) of 31.9 kg/m2 (range 27–35). The axial alignment of the limb and the orientation of the components were evaluated on standardized pre and postoperative full leg length weight-bearing radiographs, anteroposterior radiographs, and lateral radiographs of the knee. The time of tourniquet was recorded. The perception of motion sickness was assessed by Virtual Reality Sickness Questionnaire (VRSQ) subjected to surgeon immediately after surgery.

Results
After duplicate removal, a total of 31 abstracts were found. However, only two studies concerned knee arthroplasty. Unfortunately, both were preclinical studies. Knee + system is able to perform a cutting error of less than 1° of difference about coronal alignment of femur and tibia and less than 2° about flexion/extension of femur and posterior tibial slope. The absolute differences between the values obtained during surgery and the measurement of varus femur, varus tibia, posterior slope, and femur flexion angle on post-operative radiographs were 0.6° ± 1.34°, 0.8° ± 0.84°, 0.8° ± 1.79°, and 0.4 mm ± 0.55 mm, respectively.

Conclusions
On light of our preliminary results, the Knee + system is accurate and effective to perform TKA. The translation from pilot study to high-level prospective studies is warranted to assess accuracy and cost-effective analysis compared to conventional techniques.

Level of evidence
IV
Chemotherapy resumption in breast cancer patient after COVID-19
Authors: Horiguchi Julian , Nakashoji Ayako , Kawahara Naoki , Matsui Akira , Kinoshita Takayuki 
Published: July 2021

AbstractBackgroundWhile many studies have verified the effect of recent anti-cancer treatment in patients with COVID-19, there are no data on the optimal time for cancer treatment resumption, as well as the safety of chemotherapy in COVID-19 patients. As many cancer patients are recovering from COVID-19, there is an urgent need for reliable clinical information. Herein, we report a case of invasive ductal carcinoma in which we were able to successfully resume chemotherapy after infection with SAR-CoV-2.Case presentationThe patient was a 38-year-old non-smoking Japanese woman with no significant medical history. She had fever on days 5 and 6 of her second course of adjuvant FEC therapy, and on day 7, she tested positive for SARS-CoV-2 by RT-PCR. She was hospitalized for 11 days. We resumed the therapy on day 25 after discharge, as she had no remaining clinical symptoms. The patient completed four courses of the initial chemotherapy without any major adverse events nor the recurrence of COVID-19, and subsequently completed four courses of docetaxel as her second regimen therapy.ConclusionsEvaluating the risk for each patient is essential when resuming anti-cancer therapy in cancer patient’s post-COVID-19.
Toxicological evaluation of the dried hydroethanolic extract of Amaranthus spinosus L. roots in Artemia salina larvae and Sprague Dawley rats
Authors: Atchou Kokou , Lawson-Evi Povi , Diallo Aboudoulatif , Eklu-Gadegbeku Kwashie 
Published: July 2021

AbstractBackgroundAmaranthus spinosusis a medicinal plant used in traditional medicine to treat several diseases including diabetes and its complications. The aim of this study was to prove the safety of the plant in animal health.MethodsThe dry extract was obtained following the hydroethanolic extraction ofA. spinosusroots. The cytotoxicity was evaluatedin vitroby incubatingArtemia salinalarvae with the extract for 24 h.In vivotoxicity was assessed in Sprague Dawley rats. A single dose of 5000 mg/kg bw of extract was administered orally to female rats in acute toxicity and observed for 14 days for mortality and signs of toxicity. In subchronic toxicity, extract doses of 500 and 1000 mg/kg bw were administered orally to male and female rats for 28 consecutive days and observed for previous signs. Body weight was recorded daily and blood glucose levels every week. On day 29, blood was collected for biochemical and hematological studies. Organs were then exised for gross autopsy and histopathological examination.ResultsThein vitrostudy showed that the extract had a LC50 = 1.178 mg/mL in larvae and was considered to be non-cytotoxic. Oral administration of extract at a single dose of 5000 mg/kg bw did not cause any mortality or sign of toxicity in gross necropsy. In subchronic oral toxicity, repeated doses of 500 and 1000 mg/kg bw of extract, did not also cause any mortality or significant change in body weight, relative weight of vital organs. Furthermore, hematological and biochemical parameters and histopathological examination did not show any significant change. The observed decrease in blood glucose levels did not correlate with organ damage and supports the safety of the plant. However, the reduction of LDL-cholesterol has shown that the extract can prevent cardiovascular disease.ConclusionsThis finding demonstrated thatA. spinosusroot is non-toxic with a LD50 > 5000 mg/kg bw. Thus, the extract can be used for cutaneous and subchronic oral administration at doses ≤ 1000 mg/kg bw. However, further studies such as embryo/fetotoxicity, genotoxicity and neurotoxicity will be needed to prove the safety of chronic administration of the extract in patients and fetuses.
Review on the phytochemistry and toxicological profiles of Aloe vera and Aloe ferox
Authors: Nalimu Florence , Oloro Joseph , Kahwa Ivan , Ogwang Patrick Engeu 
Published: July 2021

Abstract
Background
Aloe vera and Aloe ferox have over the years been among the most sought-after Aloe species in the treatment of ailments worldwide. This review provides categorized literature on the phytochemical and scientifically proven toxicological profiles of A. vera and A. ferox to facilitate their exploitation in therapy.

Main body of the abstract
Original full-text research articles were searched in PubMed, ScienceDirect, Research gate, Google Scholar, and Wiley Online Library using specific phrases. Phenolic acids, flavonoids, tannins, and anthraquinones were the main phytochemical classes present in all the two Aloe species. Most of the phytochemical investigations and toxicity studies have been done on the leaves. Aloe vera and Aloe ferox contain unique phytoconstituents including anthraquinones, flavonoids, tannins, sterols, alkaloids, and volatile oils. Aloe vera hydroalcoholic leaf extract showed a toxic effect on Kabir chicks at the highest doses. The methanolic, aqueous, and supercritical carbon dioxide extracts of A. vera leaf gel were associated with no toxic effects. The aqueous leaf extract of A. ferox is well tolerated for short-term management of ailments but long-term administration may be associated with organ toxicity. Long-term administration of the preparations from A. vera leaves and roots was associated with toxic effects.

Short conclusion
This review provides beneficial information about the phytochemistry and toxicity of A. vera and A. ferox and their potential in the treatment of COVID-19 which up to date has no definite cure. Clinical trials need to be carried out to clearly understand the toxic effects of these species.
Polygenic Breast Cancer Risk for Women Veterans in the Million Veteran Program
Authors: Minnier Jessica , Rajeevan Nallakkandi , Gao Lina , Park Byung , Pyarajan Saiju , Spellman Paul ,   VA Million Veteran Program, Haskell Sally G. , Brandt Cynthia A. , Luoh Shiuh-Wen 
Published: July 2021

PURPOSE Accurate breast cancer (BC) risk assessment allows personalized screening and prevention. Prospective validation of prediction models is required before clinical application. Here, we evaluate clinical- and genetic-based BC prediction models in a prospective cohort of women from the Million Veteran Program. MATERIALS AND METHODS Clinical BC risk prediction models were validated in combination with a genetic polygenic risk score of 313 (PRS313) single-nucleotide polymorphisms in genetic females without prior BC diagnosis (n = 35,130, mean age 49 years) with 30% non-Hispanic African ancestry (AA). Clinical risk models tested were Breast and Prostate Cancer Cohort Consortium, literature review, and Breast Cancer Risk Assessment Tool, and implemented with or without PRS313. Prediction accuracy and association with incident breast cancer was evaluated with area under the receiver operating characteristic curve (AUC), hazard ratios, and proportion with high absolute lifetime risk. RESULTS Three hundred thirty-eight participants developed incident breast cancers with a median follow-up of 3.9 years (2.5 cases/1,000 person-years), with 196 incident cases in women of European ancestry and 112 incident cases in AA women. Individualized Coherent Absolute Risk Estimator-literature review in combination with PRS313 had an AUC of 0.708 (95% CI, 0.659 to 0.758) in women with European or non-African ancestries and 0.625 (0.539 to 0.711) in AA women. Breast Cancer Risk Assessment Tool with PRS313 had an AUC of 0.695 (0.62 to 0.729) in European or non-AA and 0.675 (0.626 to 0.723) in AA women. Incorporation of PRS313 with clinical models improved prediction in European but not in AA women. Models estimated up to 9% of European and 18% of AA women with absolute lifetime risk > 20%. CONCLUSION Clinical and genetic BC risk models predict incident BC in a large prospective multiracial cohort; however, more work is needed to improve genetic risk estimation in AA women.
Detection of Molecular Residual Disease Using Personalized Circulating Tumor DNA Assay in Patients With Colorectal Cancer Undergoing Resection of Metastases
Authors: Loupakis Fotios , Sharma Shruti , Derouazi Madiha , Murgioni Sabina , Biason Paola , Rizzato Mario Domenico , Rasola Cosimo , Renner Derrick , Shchegrova Svetlana , Koyen Malashevich Allyson , Malhotra Meenakshi , Sethi Himanshu , Zimmermann Bernhard G. , Aleshin Alexey , Moshkevich Solomon , Billings Paul R. , Sedgwick Jonathon D. , Schirripa Marta , Munari Giada , Cillo Umberto , Pilati Pierluigi , Dei Tos Angelo Paolo , Zagonel Vittorina , Lonardi Sara , Fassan Matteo 
Published: July 2021

PURPOSE More than 50% of patients with stage IV colorectal cancer (metastatic colorectal cancer [mCRC]) relapse postresection. The efficacy of postoperative systemic treatment is limited in this setting. Thus, these patients would greatly benefit from the use of a reliable prognostic biomarker, such as circulating tumor DNA (ctDNA) to identify minimal or molecular residual disease (MRD). PATIENTS AND METHODS We analyzed a cohort of 112 patients with mCRC who had undergone metastatic resection with curative intent as part of the PREDATOR clinical trial. The study evaluated the prognostic value of ctDNA, correlating MRD status postsurgery with clinical outcomes by using a personalized and tumor-informed ctDNA assay (bespoke multiple PCR, next-generation sequencing assay). Postresection, systemic therapy was given to 39.2% of the patients at the discretion of the treating physician. RESULTS Postsurgical, MRD positivity was observed in 54.4% (61 of 112) of patients, of which 96.7% (59 of 61) progressed at the time of data cutoff (hazard ratio [HR]: 5.8; 95% CI, 3.5 to 9.7; P < .001). MRD-positive status was also associated with an inferior overall survival: HR: 16.0; 95% CI, 3.9 to 68.0; P < .001. At the time of analyses, 96% (49 of 51) of patients were alive in the MRD-negative arm compared with 52.4% (32 of 61) in the MRD-positive arm. Patients who did not receive systemic therapy and were MRD-negative in the combined ctDNA analysis at two time points had an overall survival of 100%. In the multivariate analysis, ctDNA-based MRD status was the most significant prognostic factor associated with disease-free survival (HR: 5.78; 95% CI, 3.34 to 10.0; P < .001). CONCLUSION This study confirms that in mCRC undergoing resection of metastases, postoperative MRD analysis is a strong prognostic biomarker. It holds promises for being implemented in clinical decision making, informing clinical trial design, and further translational research.
Branched-chain Amino Acids and Relationship With Inflammation in Youth With Obesity: A Randomized Controlled Intervention Study
Authors: Cosentino Ralph G , Churilla James R , Josephson Samantha , Molle-Rios Zarela , Hossain Md Jobayer , Prado Wagner L , Balagopal P Babu 
Published: July 2021

Abstract

Context
Elevated concentrations of branched-chain amino acids (BCAA) are strong predictors of type 2 diabetes mellitus (T2DM). Their association with cardiovascular disease (CVD) remains uncertain, particularly in youth.

Objective
We investigated the role of BCAA and aromatic amino acids (AAA) in obesity, their relationships with novel biomarkers of CVD, and response to a physical activity-based lifestyle intervention (PAL-I) in a randomized controlled study in youth with normal weight (NW) and obesity (OB).

Methods
Age (14-18 years) and Tanner stage (≥IV) matched youth (OB, n = 15 and NW, n = 6) were studied; the 15 participants with OB underwent a 3-month randomized controlled PAL-I. Circulating amino acid profile, glucose, insulin, lipids, adiponectin, retinol binding protein-4, fibrinogen, high-sensitivity C-reactive protein, interleukin-6, and 25-hydroxy vitamin-D, along with body composition, were measured at baseline and after PAL-I. Independent t tests, analysis of covariance, and mixed-effect models were used for analysis of the data.

Results
Compared with NW, the concentration of various amino acids, including BCAA and AAA, were altered in OB (P &lt; 0.05). BCAA and AAA showed baseline correlations with body composition and novel biomarkers of CVD, particularly inflammatory factors (all P &lt; 0.05). The PAL-I produced only negligible effects (P &gt; 0.05) on BCAA and AAA. Glutamine, glycine, and aspartic acid decreased with PAL-I (all P &lt; 0.05).

Conclusion
The novel finding of the BCAA–inflammation relationship, along with strong correlations with nontraditional biomarkers of CVD, may raise the prospect of BCAA as a biomarker of CVD and evoke a potential link between obesity, T2DM, and CVD.
Interspecific variation in bristle number on forewings of tiny insects does not influence clap-and-fling aerodynamics
Authors: Kasoju Vishwa T. , Moen Daniel S. , Ford Mitchell P. , Ngo Truc T. , Santhanakrishnan Arvind 
Published: July 2021

ABSTRACTMiniature insects must overcome significant viscous resistance in order to fly. They typically possess wings with long bristles on the fringes and use a clap-and-fling mechanism to augment lift. These unique solutions to the extreme conditions of flight at tiny sizes (&lt;2 mm body length) suggest that natural selection has optimized wing design for better aerodynamic performance. However, species vary in wingspan, number of bristles (n) and bristle gap (G) to diameter (D) ratio (G/D). How this variation relates to body length (BL) and its effects on aerodynamics remain unknown. We measured forewing images of 38 species of thrips and 21 species of fairyflies. Our phylogenetic comparative analyses showed that n and wingspan scaled positively and similarly with BL across both groups, whereas G/D decreased with BL, with a sharper decline in thrips. We next measured aerodynamic forces and visualized flow on physical models of bristled wings performing clap-and-fling kinematics at a chord-based Reynolds number of 10 using a dynamically scaled robotic platform. We examined the effects of dimensional (G, D, wingspan) and non-dimensional (n, G/D) geometric variables on dimensionless lift and drag. We found that: (1) increasing G reduced drag more than decreasing D; (2) changing n had minimal impact on lift generation; and (3) varying G/D minimally affected aerodynamic forces. These aerodynamic results suggest little pressure to functionally optimize n and G/D. Combined with the scaling relationships between wing variables and BL, much wing variation in tiny flying insects might be best explained by underlying shared growth factors.
Development and validation of a multiparametric MRI-based radiomics signature for distinguishing between indolent and aggressive prostate cancer
Authors: Zhang Liuhui , Jiang Donggen , Chen Chujie , Yang Xiangwei , Lei Hanqi , Kang Zhuang , Huang Hai , Pang Jun 
Published: July 2021

Objective:
To develop and validate a non-invasive MRI-based radiomics signature for distinguishing between indolent and aggressive prostate cancer (PCa) prior to therapy.

Methods:
In all, 139 qualified and pathology-confirmed PCa patients were divided into a training set (n = 93) and a validation set (n = 46). A total of 1576 radiomics features were extracted from the T 2WI (n = 788) and diffusion-weighted imaging (n = 788) for each patient. The Select K Best and the least absolute shrinkage and selection operator regression algorithm were used to construct a radiomics signature in the training set. The predictive performance of the radiomics signature was assessed in the training set and then validated in the validation set by receiver operating characteristic curve analysis. We computed the calibration curve and the decision curve to evaluate the calibration and clinical usefulness of the signature.

Results:
Nine radiomics features were identified to form the radiomics signature. The radiomics score (Rad-score) was significantly different between indolent and aggressive PCa (p &lt; 0.001). The radiomics signature exhibited favorable discrimination between the indolent and aggressive PCa groups in the training set (AUC: 0.853, 95% CI: 0.766 to 0.941) and validation set (AUC: 0.901, 95% CI: 0.793 to 1.000). The decision curve analysis showed that a greater net benefit would be obtained when the threshold probability ranged from 20 to 90%.

Conclusion:
The multiparametric MRI-based radiomics signature can potentially serve as a non-invasive tool for distinguishing between indolent and aggressive PCa prior to therapy.

Advances in knowledge:
The multiparametric MRI-based radiomics signature has the potential to non-invasively distinguish between the indolent and aggressive PCa, which might aid clinicians in making personalized therapeutic decisions.