bluuebunny/crossref_metadata_2025 huggingface dataset:
Searching for a vector-like B quark through a tW decay channel at future electron–positron colliders
Authors: Han Lin , Shen Jie-Fen , Liu Yao-Bei
Published: July 2022

Vector-like quarks are predicted by several theoretical scenarios of new physics which could solve the hierarchy problem in particular and might be produced through electroweak interactions. In this work, we investigate the prospects for discovering the SU(2) singlet vector-like bottom quark (VLQ-B) in $$e^{+}e^{-}$$

e
+

e
-

collisions at the future proposed 3 TeV Compact Linear Collider (CLIC). The analysis is performed within the framework of a simplified model featuring only two free parameters: the VLQ-B mass $$m_B$$

m
B

and the coupling constant $$g^{*}$$

g

∗

. We study its single production process $$e^{+}e^{-}\rightarrow B{\bar{b}}$$

e
+

e
-

→
B

b

¯

and perform a detailed analysis in the decay channel $$B\rightarrow tW^{-}$$

B
→
t

W
-

at the 3 TeV CLIC. The $$2\sigma $$

2
σ

exclusion limit and $$5\sigma $$

5
σ

discovery prospects are obtained for the model parameters, respectively. Our results show that the future CLIC will be an ideal hunting ground for such vector-like quarks which have electroweak interactions.
Relic gravitational waves in verified inflationary models based on the generalized scalar–tensor gravity
Authors: Fomin Igor V. , Chervon Sergey V. , Morozov Andrey N. , Golyak Ilya S.
Published: July 2022

In this work, we consider the models of cosmological inflation based on generalized scalar–tensor theories of gravity with quadratic connection between the Hubble parameter and coupling function. For such a class of the models, we discuss the correspondence between well-known versions of the scalar–tensor gravity theories and physically motivated potentials of a scalar field. It is shown that this class of models corresponds to the Planck observational constraints on the cosmological perturbation parameters for an arbitrary potential of a scalar field and arbitrary version of a scalar–tensor gravity theory. The spectrum of relict gravitational waves is analyzed, and the frequency range corresponding to maximal energy density is determined. The possibility of direct detection of the relic gravitational waves, predicted in such a class of models, by satellite and ground-based detectors is discussed as well.
Stiffening of nanoporous gold: experiment, simulation and theory
Authors: Melis Claudio , Pia Giorgio , Sogne Elisa , Falqui Andrea , Giordano Stefano , Delogu Francesco , Colombo Luciano
Published: July 2022

By combining electron microscopy measurements, atomistic simulations and elastic homogenization theory, we theoretically investigate the Young’s modulus of nanoporous Au structures. Based on atomistic replicas generated starting from experimental tomographic evidence, atomistic simulations reveal that nanoporous Au stiffens as ligaments become finer, reproducing experimental findings obtained by nanoindentation of dealloyed samples. We argue that such a stiffening is neither due to surface stress nor to grain boundaries. Instead, we observe a direct quantitative correlation between the density of dislocations found in the material phase of the nanoporous structures and their Young’s modulus and we propose a microscopic explanation of the observed stiffening. In particular, we show that local stress and strain fields in the neighborhood of dislocation cores allow dislocations to work as reinforcing solutes.
Minimizing I/Os in Out-of-Core Task Tree Scheduling
Authors: Marchal Loris , McCauley Samuel , Simon Bertrand , Vivien Frédéric
Published: July 2022

Scientific applications are usually described using directed acyclic graphs, where nodes represent tasks and edges represent dependencies between tasks. For some applications, this graph is a tree: each task produces a single result used solely by its parent. The temporary results of each task have to be stored between their production and their use.

We focus on the case when the data manipulated are very large. Then, during an execution, all data may not fit together in memory. In such a case, some data have to be temporarily written to disk and evicted from memory. These data are later read from disk when they are needed for computation.

These Input/Output operations are very expensive; hence, our goal is to minimize their total volume. The order in which the tasks are processed considerably influences the amount of such Input/Output operations. Finding the schedule which minimizes this amount is an open problem that we revisit in this paper.

We first formalize and generalize known results, and prove that existing solutions can be arbitrarily worse than the optimal. We then present an Integer Linear Program to solve it optimally. Finally, we propose a novel heuristic algorithm. We demonstrate its good performance through simulations on both synthetic and realistic trees built from actual scientific applications.
Graph Bipartization Problem with Applications to Via Minimization in VLSI Design
Authors: Lin Lan , Lin Yixun
Published: July 2022

The bipartization problem for a graph [Formula: see text] asks for finding a subset [Formula: see text] of [Formula: see text] such that the induced subgraph [Formula: see text] is bipartite and [Formula: see text] is maximized. This problem has significant applications in the via minimization of VLSI design. The problem has been proved NP-complete and the fixed parameter solvability has been known in the literature. This paper presents several polynomial-time algorithms for special graph families, such as split graphs, co-bipartite graphs, chordal graphs, and permutation graphs.
Angelica gigas: Signature Compounds, In Vivo Anticancer, Analgesic, Neuroprotective and Other Activities, and the Clinical Translation Challenges
Authors: Lü Junxuan , Jiang Cheng , Schell Todd D. , Joshi Monika , Raman Jay D. , Xing Chengguo
Published: July 2022

Angelica gigas Nakai (AGN) root is a medicinal herbal widely used in traditional medicine in Korea. AGN root ethanolic extract dietary supplements are marketed in the United States for memory health and pain management. We comprehensively reviewed the anticancer, analgesic, pro-memory and other bio-activities of AGN extract and its signature phytochemicals decursin, decursinol angelate, and decursinol a decade ago in 2012 and updated their anticancer activities in 2015. In the last decade, significant progress has been made for understanding the pharmacokinetics (PK) and metabolism of these compounds in animal models and single dose human PK studies have been published by us and others. In addition to increased knowledge of the known bioactivities, new bioactivities with potential novel health benefits have been reported in animal models of cerebral ischemia/stroke, anxiety, sleep disorder, epilepsy, inflammatory bowel disease, sepsis, metabolic disorders, osteoporosis, osteoarthritis, and even male infertility. Herein, we will update PK and metabolism of pyranocoumarins, review in vivo bioactivities from animal models and human studies, and critically appraise the relevant active compounds, the cellular and molecular pharmacodynamic targets, and pertinent mechanisms of action. Knowledge gaps include whether human pyranocoumarin PK metrics are AGN dose dependent and subjected to metabolic ceiling, or metabolic adaptation after repeated use. Critical clinical translation challenges include sourcing of AGN extracts, product consistency and quality control, and AGN dose optimization for different health conditions and disease indications. Future research directions are articulated to fill knowledge gaps and address these challenges.
One-Generated Nilpotent Bicommutative Algebras
Authors: Kaygorodov Ivan , Páez-Guillán Pilar , Voronin Vasily
Published: July 2022

We give a classification of 5- and 6-dimensional complex one-generated nilpotent bicommutative algebras.
A User Perspective on HTR Methods for the Automatic Transcription of Rare Scripts: The Case of
Codex Runicus
Authors: Souibgui Mohamed Ali , Bensalah Asma , Chen Jialuo , Fornés Alicia , Waldispühl Michelle
Published: July 2022

Recent breakthroughs in Artificial Intelligence, Deep Learning, and Document Image Analysis and Recognition have significantly eased the creation of digital libraries and the transcription of historical documents. However, for documents in rare scripts with few labelled training data available, current Handwritten Text Recognition (HTR) systems are too constraining. Moreover, research on HTR often focuses on technical aspects only, and rarely puts emphasis on implementing software tools for scholars in Humanities. In this article, we describe, compare, and analyse different transcription methods for rare scripts. We evaluate their performance in a real-use case of a medieval manuscript written in the runic script (
Codex Runicus
) and discuss advantages and disadvantages of each method from the user perspective. From this exhaustive analysis and comparison with a fully manual transcription, we raise conclusions and provide recommendations to scholars interested in using automatic transcription tools.
Design and User Experience of a Hybrid Mixed Reality Installation that Promotes Tinian Marble Crafts Heritage
Authors: Nikolakopoulou Vasiliki , Vosinakis Spyros , Nikopoulos Giorgos , Stavrakis Modestos , Politopoulos Nikolaos , Fragkedis Labros , Koutsabasis Panayiotis
Published: July 2022

Hybrid physical-digital installations in museums are interactive systems or exhibits that seamlessly combine physical (tangible) artifacts with virtual environments. In the museum, hybrid installations offer direct, hands-on experiences to visitors and thus may enhance their interest and engagement. Moreover, the entanglement of tangible and virtual interfaces may reinforce learning about the respective heritage. This article reports on the design, implementation, and evaluation of an interactive installation that promotes the heritage of Tinian marble crafts that is included in the representative list of intangible heritage by UNESCO and resides in the Museum of Marble Crafts in Tinos, Greece. The installation puts the museum visitor in the role of a crane operator in a virtual reconstruction of a historic quarry and requires them to operate the crane and move marble volumes with safety in cooperation with non-playable characters (NPCs). Our design approach aimed to engage visitors in a playful learning experience, incorporating aspects of the two museum's exhibits (crane, quarry). The empirical evaluation took place at the lab and the museum with promising results on UX and learning. In addition, we identify and discuss several prospects and drawbacks of designing playful tangible interfaces for other practitioners to consider in similar applications.
Toward Multi-area Contactless Museum Visitor Counting with Commodity WiFi
Authors: Jiang Yicheng , Zheng Xia , Feng Chao
Published: July 2022

Multi-area visitor counting plays a critical role in museum management, which can help administrative staff better study visitor flows and hotspots, so that they can ensure the quality and safety of visits. Internet of Things (IoT) techniques facilitate efficient recording and understanding of visitors’ spatial and temporal distribution in museums, and traditional visitor tracking applications use surveillance cameras or wireless connections with portable smart devices. However, these methods either involve privacy concerns or face the obstacle of getting natural behavioral data of all visitors. This article explores an IoT monitoring methodology in the field of museum studies, proposing a commodity WiFi-based head-counting framework that does not need the visitor to connect with any device. Our system analyzes the Channel State Information amplitude fluctuations at the fixed receiver caused when visitors cross the line-of-sight link. It enables multi-area visitor counting by achieving In-and-Out traffic detection at different sites with a convolutional neural network algorithm. The method also allows for a rough classification of visitor types based on body size, and an extra transfer module is presented to reduce training time for increasing sensing scenarios. Over 2,300 samples at five different sites were collected to test the usability. Experiment 1 implemented in three environments/deployments demonstrated that the proposed approach can be potentially implemented in variable sites of museums. It achieved high up to 95% and 99% accuracies for identifying the number and direction of people crossing, respectively. Experiment 2 sampled adults, children, and adult-child groups at a science museum and achieved approximately 89% classification accuracy of visitor types. Experiment 3 collected data for all cases in which up to three targets entered and exited simultaneously, and reached a recognition accuracy of around 88% for nine different cases. The potential and limitations for the practical application of wireless contactless sensing to cultural spaces are discussed.
Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition
Authors: Yue Xuebin , Li Hengyi , Fujikawa Yoshiyuki , Meng Lin
Published: July 2022

Oracle bone inscriptions (OBIs)
are a kind of hieroglyph, used about 3,600 years ago for divination and the recording of events. The characters on these OBIs are of great interest because they are precursors to the modern Chinese characters widely used across Asia today. However, as the OBIs were only discovered in 1899, there are currently few documents to describe them. Hence, recognizing and unlocking the meaning of OBIs helps to understand the ancient history of China, the evaluation of Chinese characters, and more. Currently, deep learning has made great progress and brought about a revolution in the research field of recognition, and shows good potential to meet the challenges of OBIs recognition. Due to the scarcity of resources, many OBIs contain only a small number of instances, which causes dataset imbalance and limits the accuracy of recognition. This paper attempts to provide a suite of OBIs recognition methods comprising an original OBIs dataset creation, dynamic dataset augmentation, and a novel deep learning-based recognition method. To this end, we create an original OBIs dataset and propose a modified Generative Adversarial Network for augmenting the original OBIs dataset. The augmented data is then dynamically selected for training the deep learning model considering the data imbalance problem. A novel model called C-A Net is proposed for OBIs recognition. The results of evaluation experiments show that the dynamical dataset augmentation can effectively locate a suitable training dataset for the deep learning model and solve the problem of imbalanced OBIs distribution. In addition, the recognition accuracy of C-A Net is 91.10%, which is higher than that of eight state-of-the-art models, and thus effectively suppresses the occurrence of overfitting. We also present an original OBIs dataset named OBI125, which is currently the only rubbing-type OBIs dataset that is open to the public. The code is available at http://www.ihpc.se.ritsumei.ac.jp/obidataset.html.
Securing the Company Jewels
Authors: Neville-Neil George V.
Published: July 2022

Often the problem with a runbook isn't the runbook itself, it's the runner of the runbook that matters. A runbook, or a checklist, is supposed to be an aid to memory and not a replacement for careful and independent thought. But our industry being what it is, we now see people take these things to their illogical extremes, and I think this is the problem you are running into with your local runbook runner.
Complexity, Evolvability, and the Process of Adaptation
Authors: Houle David , Rossoni Daniela M.
Published: July 2022

There is a widespread view that the process of adaptation in complex systems is made difficult due to an evolutionary cost of complexity that is reflected in lower evolvability. This line of reasoning suggests that organisms must have special properties to overcome this cost, such as integration, modularity, and robustness, and that the reduction in the rate of evolution and variational constraints could help explain why organisms might not respond to selection. Here, we discuss the issues that arise from this conviction and highlight an alternative view where complexity represents an opportunity by increasing the evolutionary potential of a population. We highlight the lack of evidence supporting the influence of complexity on evolvability. Empirical data on the patterns of contemporary selection are critical for understanding this relationship.
Functional expression of NaV1.7 channels in freshly dispersed mouse bronchial smooth muscle cells
Authors: Matthews Ruth M. , Bradley Eamonn , Griffin Caoimhin S. , Lim Xin Rui , Mullins Nicolas D. , Hollywood Mark A. , Lundy Fionnuala T. , McGarvey Lorcan P. , Sergeant Gerard P. , Thornbury Keith D.
Published: July 2022

Isolated smooth muscle cells (SMCs) from mouse bronchus were studied using the whole cell patch-clamp technique at ∼21°C. Stepping from −100 mV to −20 mV evoked inward currents of mean amplitude −275 pA. These inactivated (tau = 1.1 ms) and were abolished when external Na+ was substituted with N-Methyl-d-glucamine. In current-voltage protocols, current peaked at −10 mV and reversed between +20 and +30 mV. The V1/2s of activation and inactivation were −25 and −86 mV, respectively. The current was highly sensitive to tetrodotoxin (IC50 = 1.5 nM) and the NaV1.7 subtype-selective blocker, PF-05089771 (IC50 = 8.6 nM), consistent with NaV1.7 as the underlying pore-forming α subunit. Two NaV1.7-selective antibodies caused membrane-delineated staining of isolated SMC, as did a nonselective pan-NaV antibody. RT-PCR, performed on groups of ∼15 isolated SMCs, revealed transcripts for NaV1.7 in 7/8 samples. Veratridine (30 µM), a nonselective NaV channel activator, reduced peak current evoked by depolarization but induced a sustained current of 40 pA. Both effects were reversed by tetrodotoxin (100 nM). In tension experiments, veratridine (10 µM) induced contractions that were entirely blocked by atropine (1 µM). However, in the presence of atropine, veratridine was able to modulate the pattern of activity induced by a combination of U-46619 (a thromboxane A2 mimetic) and PGE2 (prostaglandin E2), by eliminating bursts in favor of sustained phasic contractions. These effects were readily reversed to control-like activity by tetrodotoxin (100 nM). In conclusion, mouse bronchial SMCs functionally express NaV1.7 channels that are capable of modulating contractile activity, at least under experimental conditions.
Role of glycolysis in the development of atherosclerosis
Authors: Li Lanfang , Wang Min , Ma Qiuxiao , Ye Jingxue , Sun Guibo
Published: July 2022

Atherosclerosis is a chronic inflammatory vascular disease associated with endothelial dysfunction, inflammation, and atherosclerotic plaque formation. Glycolysis is a conservative and rigorous biological process that decomposes glucose into pyruvate. Its function is to provide the body with energy and intermediate products required for life activities. However, abnormalities in glycolysis flux during the progression of atherosclerosis accelerate the disease progression. Herein, we review the role of glycolysis in the development of atherosclerosis to provide new ideas for devising novel antiatherosclerosis strategies.
Fracture Propagation Modes of Lower Cambrian Shale Filled with Different Quartz Contents under Seepage-Stress Coupling
Authors: Wu Zhonghu , Wang Shuang , Chen Jun , Song Huailei , Wang Wentao , Wang Ruyue , Liu Hao
Published: July 2022

The content and spatial distribution of brittle minerals, such as quartz, are important factors in determining the fracture initiation mechanism induced by hydraulic fracturing in shale reservoirs. To further research the impact of quartz content in shales of the Lower Cambrian Niutitang Formation in northern Guizhou on the fracture expansion of its reservoir, 7 groups of randomly filling shale models with different quartz contents were established using rock failure process analysis (RFPA2D-flow) code for numerical test studies under seepage-stress coupling, and 5 samples were also subjected to uniaxial compression tests using the INSTRON 1346 electrohydraulic servo-controlled material testing machine (200T). The results show that the average growth rate of the compressive strength and the fracture proportion for a quartz content of 50% to 65% are 4.22 and 1.15 times higher than those for 35% to 50%, respectively. Fractures sprout, expand, and breakdown in the shale matrix or at the junctions of the shale matrix and quartz grains. The mechanical properties and pattern of the fracture extension of the shale in the physical tests are similar to those in the numerical tests, indicating the reliability of the numerical simulations. The fractal dimension curves at different stress levels are divided into three stages: flattening, increasing, and surging, and the fractal dimension value for a quartz content of 50%~65% at a 100% stress level is 1.02 times higher than that for 35%~50%. The high degree of natural fracture development in high quartz content formations in shale gas reservoirs is of some reference value for logging data. The research results provide a reference value for the content and spatial distribution of brittle minerals for the initiation mechanism and fracture propagation of hydraulic fracturing in shale reservoirs.
The Impact of a Complex Computer Numerical Model Based on Economic Cooperation on the Value Chain of International Trade Facilitation
Authors: Zhang Haina , Chen Zhiya , Zhang Deli , Huo Jiuyuan , Li Yifen
Published: July 2022

With the advancement of global economic integration, traditional trade barriers have been greatly reduced, and the marginal utility of tariff reductions on trade expansion has become weaker and weaker. Especially under the global value chain division of labor system, intermediate products and parts have undergone multiple cross-border trades. The cumbersome trade procedures will greatly increase trade costs and destroy the driving force of trade. After improving infrastructure and optimizing customs clearance procedures, with the improvement of convenience, more countries and enterprises can participate in the global division of labor. Considering the industry characteristics of high-tech manufacturing, this paper selects panel data of high-tech manufacturing from multiple sample countries and uses the panel data two-way fixed-effect model to empirically analyze the impact of a country’s trade facilitation level on the global value chain of high-tech manufacturing in a country. From the perspective of global value chain status, the improvement of a country’s level of trade facilitation can significantly promote the country’s high-tech manufacturing global value chain status. The level of foreign direct investment, the degree of opening to the outside world, the level of government public services, the level of human capital, and the R&D capability are all significantly positive at the 1% level, while the level of physical capital is significantly negative at the 1% level.
Reference Intervals of Spot Urine Creatinine-to-Osmolality Ratio as a Surrogate of Urinary Creatinine Excretion Rate
Authors: Hsu Shih-Ping , Chien Chiang-Ting
Published: July 2022

A spot urine creatinine-to-osmolality ratio (sUCr/Osm) is proposed as a surrogate of the urinary excretion rate of creatinine (Cr) and convenient for forecasting serum Cr (SCr) trends. The lower the sUCr/Osm, the lower the excreted Cr amount accompanied by per unit of osmoles, the higher the risk of Cr accumulation. For exploring the reference intervals of sUCr/Osm in general adults, a cross-sectional analysis was performed on a subset of data from the National Health and Nutrition Examination Survey (NHANES) 2011–2012. Of the eligible 3,316 adults aged 18.0 to 79.9 years, the age (

mean
±
SD

) was

45.2
±
17.2

years old, women was 45.02%, body weight (BW) was

76.1
±
14.5

 kg, and African Americans was 23.6%. Blood urea nitrogen (BUN) was

12.6
±
4.7

 mg/dL; SCr was

0.89
±
0.34

 mg/dL. As spot urine Cr and osmolality were

127.1
±
84.0

 mg/dl and

649
±
266

 mOsm/kg, respectively, sUCr/Osm was

0.19
±
0.08

. With adjustment of factors related to personal urinary excretion of Cr and osmoles by multivariable regression analysis, the estimated sUCr/Osm (esUCr/Osm) for an individual was

0.153
×

age
 
in
 
year

−
0.070

×

BW
 
in
 
kg

0.283

×
1.244
 

if
 
African
 
American

×

BUN
 
in
 
mg
/
dL

−
0.310

×

SCr
 
in
 
mg
/
dL

0.681

. The index of sUCr/Osm to personalized esUCr/Osm was

1.05
±
0.39

. When only low urinary excretion of Cr is likely to be of clinical concern, further analysis showed 157 individuals (4.7%, outside the 5th percentile) had their original

sUCr
/
Osm
<
0.08

; 157 had the sUCr/Osm indexed for personalized

esUCr
/
Osm
<
0.50

.
Construction of Diagnosis Model of Moyamoya Disease Based on Convolution Neural Network Algorithm
Authors: Hao Xiangcheng , Xu Li , Liu Yin , Luo Cheng , Yin Yiming , Chen Xiao , Tao Xiaoyang
Published: July 2022

Objective. The convolutional neural network (CNN) was used to improve the accuracy of digital subtraction angiography (DSA) in diagnosing moyamoya disease (MMD), providing a new method for clinical diagnosis of MMD. Methods. A total of 40 diagnosed with MMD by DSA in the neurosurgery department of our hospital were included. At the same time, 40 age-matched and sex-matched patients were selected as the control group. The 80 included patients were divided into training set (

n
=
56

) and validation set (

n
=
24

). The DSA image was preprocessed, and the CNN was used to extract features from the preprocessed image. The precision and accuracy of the preprocessed image results were evaluated. Results. There was no significant difference in baseline data between the training set and validation set (

P
>
0.05

). The precision and accuracy of the images before processing were 79.68% and 81.45%, respectively. After image processing, the precision and accuracy of the model are 96.38% and 97.59%, respectively. The area under the curve of the CNN algorithm model was 0.813 (95% CI: 0.718-0.826). Conclusion. This diagnostic method based on CNN performs well in MMD detection.
Statistical Analysis of the COVID-19 Mortality Rates with Probability Distributions: The Case of Pakistan and Afghanistan
Authors: Dar Javid Gani , Ijaz Muhammad , Almanjahie Ibrahim M. , Farooq Muhammad , El-Morshedy Mahmoud
Published: July 2022

The COVID-19 pandemic has shocked nations due to its exponential death rates in various countries. According to the United Nations (UN), in Russia, there were 895, in Mexico 303, in Indonesia 77, in Ukraine 317, and in Romania 252, and in Pakistan, 54 new deaths were recorded on the 5th of October 2021 in the period of months. Hence, it is essential to study the future waves of this virus so that some preventive measures can be adopted. In statistics, under uncertainty, there is a possibility to use probability models that leads to defining future pattern of deaths caused by COVID-19. Based on probability models, many research studies have been conducted to model the future trend of a particular disease and explore the effect of possible treatments (as in the case of coronavirus, the effect of Pfizer, Sinopharm, CanSino, Sinovac, and Sputnik) towards a specific disease. In this paper, varieties of probability models have been applied to model the COVID-19 death rate more effectively than the other models. Among others, exponentiated flexible exponential Weibull (EFEW) distribution is pointed out as the best fitted model. Various statistical properties have been presented in addition to real-life applications by using the total deaths of the COVID-19 outbreak (in millions) in Pakistan and Afghanistan. It has been verified that EFEW leads to a better decision rather than other existing lifetime models, including FEW, W, EW, E, AIFW, and GAPW distributions.
Dynamic Path Planning Analysis of Warehouse Handling Robot
Authors: Zhao Yue
Published: July 2022

In order to further improve the operational efficiency and the flexibility of automated warehouse, a path planning algorithm for a warehouse handling robot was evaluated. Under the background of determining the operation scene and environment of multihandling robot, a path planning algorithm with time window is proposed for multihandling robot, and a two-stage path planning method is also analyzed. The results show that the route planning using the improved Dijkstra algorithm saves 7.16 meters compared with the traditional algorithm, and the task is completed 3.17 seconds earlier. Comprehensively considering the heat of the various paths to turn to the required time, using the improved Dijkstra algorithm path, handling the robot’s total running distance than the traditional algorithm saves 14.45 meters, the total run time saves 8.45 seconds, and whether in time or in the distance, crane robot handling efficiency compared with the traditional algorithm has an obvious increase, closer to reality.
Analysis on the Vertical Additional Force of Shaft and Drainage Settlement Characteristics of Topsoil Containing Multiaquifers
Authors: Han Tao , Luo Tingting , Zhang Tao , Yan Yong , Hu Xiaoxu , Yan Tao , Yang Weihao
Published: July 2022

The vertical additional force induced by the drainage consolidation settlement of the topsoil is one of the main factors for shaft wall fracture. To date, the number of aquifers of topsoil rises with the depth increasing of shaft, which would lead to a more serious additional force effect. Thus, studying the vertical additional force law of the shaft when drainage settlement occurs in its surrounding topsoil containing multiaquifers is of great significance to predicting the shaft stress and guarantying shaft safety. In this study, mechanical analysis of the topsoil with the shaft crossing multiaquifer was carried out, and the settlement of each aquifer and aquiclude was calculated by separating the single-slope drainage consolidation and the double-slope drainage consolidation. Then, the calculation model of vertical additional force was established due to the settlement caused by the reaction of the additional force on the topsoil containing multiaquifers, and the calculation model of shaft wall stress was also developed. Verification of this model was conducted by comparing the filed measurement data of the shaft wall strain and the theoretical data calculated by the stress model. Finally, the effect laws of drainage velocity, central aquifer thickness, location, and number on the additional force were obtained and analysed. This paper is expected to provide theoretical support for predicting the additional force and shaft wall stress during its service time.
Online Gain-Phase Self-Calibration Method of MIMO Array Based on Statistical Characteristics of Target Angle Distribution
Authors: Wang Linwei , Li Bo , Zhao Quanrui , Ji Xiaowei , Yu Changjun
Published: July 2022

As a hot research topic, the gain-phase error self-calibration in MIMO radar systems has been investigated for many years. In this paper, we proposed a novel array error self-calibration method, termed online errors self-calibration based on feature learning (OES-FL). This method regards the statistical characteristics of the detected targets’ DOA as a prior knowledge and does not require the calibrated antenna subarray or external reference source to correct the array disturbances in real time. First, we analyse the monostatic MIMO signal model suffering gain-phase error. Then, we exploit the statistical characteristics of DOA of many targets for correcting gain-phase error of antenna array. Next, the gain-phase error estimation scheme based on LMS and the DOA deviation estimation method based on LSTM are proposed, respectively. Using real-life radar data collected at the integrated transportation hubs to generate simulation data, the proposed approach is shown to be effective in correcting gain-phase errors and, therefore, provides a promising model for online error self-calibration in monostatic MIMO radars.
Diabetic Retinopathy Detection Using Genetic Algorithm-Based CNN Features and Error Correction Output Code SVM Framework Classification Model
Authors: Ullah Najib , Mohmand Muhammad Ismail , Ullah Kifayat , Gismalla Mohammed S. M. , Ali Liaqat , Khan Shafqat Ullah , Ullah Niamat
Published: July 2022

Diabetic retinopathy (DR) is a type of eye disease that may be caused in individuals suffering from diabetes which results in vision loss. DR identification and routine diagnosis is a challenging task and may need several screenings. Early identification of DR has the potential to prevent or delay vision loss. For real-time applications, an automated DR identification approach is required to assist and reduce possible human mistakes. In this research work, we propose a deep neural network and genetic algorithm-based feature selection approach. Five advanced convolutional neural network architectures are used to extract features from the fundus images, i.e., AlexNet, NASNet-Large, VGG-19, Inception V3, and ShuffleNet, followed by genetic algorithm for feature selection and ranking features into high rank (optimal) and lower rank (unsatisfactory). The nonoptimal feature attributes from the training and validation feature vectors are then dropped. Support vector machine- (SVM-) based classification model is used to develop diabetic retinopathy recognition model. The model performance is evaluated using accuracy, precision, recall, and F1 score. The proposed model is tested on three different datasets: the Kaggle dataset, a self-generated custom dataset, and an enhanced custom dataset with 97.9%, 94.76%, and 96.4% accuracy, respectively. In the enhanced custom dataset, data augmentation has been performed due to the smaller size of the dataset and to eliminate the noise in fundus images.
Recent Advances in Drug Delivery Nanocarriers for Targeting Hepatocellular Carcinoma
Authors: Wang Shanshan , Lv Qianzhou , Li Xiaoyu
Published: July 2022

Hepatocellular carcinoma (HCC) is among the primary drivers of cancer‐related death globally, owing to the ineffectiveness of treatments in intermediate and terminal stages—an issue that drug delivery therapy techniques are expected to address. Drug delivery that works therapeutic techniques necessitates the use of efficient and safe drug carriers, and recent improvements in drug delivery nanocarriers have had a significant impact on HCC targeted delivery. These nanocarriers, including liposomes, micelles, nanocapsules, polymers, exosomes, and inorganic nanoparticles, are accompanied by favorable unique properties such as small particle size, good biocompatibility and biodegradability, low immunogenicity, sustained and controlled release capacity, unique optical, magnetic and heat properties, high drug loading efficiency, and easy surface modification with targeting ligands. Moreover, studies have shown that these nanocarriers can achieve passive targeting or active targeting effect, which improves the therapeutic efficacy of drugs and decreases their side effects. In this paper, we provide a brief overview of some latest studies about nanocarriers for targeting HCC.
On the Path of Piracy Legal Regulation from the Degree of Pirate Legal Interest Infringement: The Statistical Research Method as an Approach to Intervention
Authors: Yu Tianzi , Yu Tiantong , Li Jing , Wang Gang
Published: July 2022

The article encodes the data of piracy cases in recent ten years provided by the international maritime administration and splits the cases into nine variables: the occurrence sea area, whether the pirates boarded the vessel, the status of infringed ship, the type of vessel infringed, the registry of the infringed ship, carrying weapons by the pirates, the number of pirates, the treatment method, and the degree of infringement of legal interests, of which the first eight are independent variables and the degree of infringement of legal interests is dependent variables. It is concluded that the occurrence sea area, ship status, ship type, weapon carrying situation, and handling measures after piracy will generate significant impact on the dependent variables. In the dependent variables, there are five categories divided into potential damage offense, attempted infringement of property, accomplished infringement of property, complete violation of human health, complete violation of property, and human health, with the degree of legal interest violation increasing gradually. The Chi-square test shows that any of the independent variables will have an impact on the dependent variables. The evaluation of piracy by means of combined punishment for several crimes will fully take into account the development of piracy and the situation of the accomplished and attempted acts, so as to achieve the compatibility of crime and punishment.
Clinico-Genomic Characterization of Patients with Metastatic Urothelial Carcinoma in Real-World Practice Identifies a Novel Bladder Immune Performance Index (BIPI)
Authors: Szabados Bernadett , Ponz-Sarvisé Mariano , Machado Robson , Saldana Diego , Kadel Edward E. , Banchereau Romain , Bouquet Fanny , Garmhausen Marius , Powles Thomas , Schröder Carsten ,   On Behalf of the imCORE Working Group of Early Career Investigators (imFLAME)
Published: July 2022

Purpose:

This retrospective analysis of the largest available clinico-genomic database used de-identified patient-level electronic health record–derived real-world data (RWD) combined with FoundationOne comprehensive genomic profiling (CGP) to characterize patients with metastatic urothelial carcinoma (mUC) treated in the real-world setting, detect potential biomarkers, and develop a bladder immune performance index (BIPI).

Experimental Design:

Patients with mUC who started front-line single-agent immune checkpoint inhibitors (ICI) and an unmatched group treated with front-line platinum-based chemotherapy between January 1, 2011, and September 30, 2019, were selected. Clinical and genomic data were correlated with overall survival (OS). A novel BIPI predicting outcome with ICIs was developed using machine learning methods and validated using data from a phase II trial (NCT02951767).

Results:

In ICI-treated patients (n = 118), high tumor mutational burden (≥10 mutations/megabase) was associated with improved OS (HR, 0.58; 95% CI, 0.35–0.95; P = 0.03). In chemotherapy-treated patients (n = 268), those with high APOBEC mutational signature had worse OS (HR, 1.43; 95% CI, 1.06–1.94; P = 0.02). Neither FGFR3 mutations nor DNA damage–repair pathway alterations were associated with OS. A novel BIPI combining clinical and genomic variables (nonmetastatic at initial diagnosis, normal or above normal albumin level at baseline, prior surgery for organ-confined disease, high tumor mutational burden) identified ICI-treated patients with longest OS and was validated in an independent dataset.

Conclusions:

Contemporary RWD including FoundationOne CGP can be used to characterize outcomes in real-world patients according to biomarkers beyond PD-L1. A validated, novel clinico-genomic BIPI demonstrated satisfactory prognostic performance for OS in patients with mUC receiving front-line ICI therapy.
A Phase 2 Trial of Enhancing Immune Checkpoint Blockade by Stereotactic Radiation and In Situ Virus Gene Therapy in Metastatic Triple-Negative Breast Cancer
Authors: Sun Kai , Xu Yitian , Zhang Licheng , Niravath Polly , Darcourt Jorge , Patel Tejal , Teh Bin S. , Farach Andrew M. , Guerrero Carlo , Mathur Sunil , Sultenfuss Mark A. , Gupta Nakul , Schwartz Mary R. , Haley Susan L. , Nair Sindhu , Li Xiaoxian , Nguyen Thi Truc Anh , Butner Joseph D. , Ensor Joe , Mejia Jaime A. , Mei Zhuyong , Butler E. Brian , Chen Shu-hsia , Bernicker Eric H. , Chang Jenny C.
Published: July 2022

Purpose:

A Phase 2 trial of stereotactic radiotherapy and in situ cytotoxic virus therapy in patients with metastatic triple-negative breast cancer (mTNBC) followed by pembrolizumab (STOMP) was designed to evaluate dual approach of enhancing single-agent immune checkpoint blockade with adenovirus-mediated expression of herpes-simplex-virus thymidine-kinase (ADV/HSV-tk) plus valacyclovir gene therapy and stereotactic body radiotherapy (SBRT) in patients with mTNBC.

Patients and Methods:

In this single-arm, open-label Phase 2 trial, patients with mTNBC were treated with ADV/HSV-tk [5 × 1011 virus particles (vp)] intratumoral injection, followed by SBRT to the injected tumor site, then pembrolizumab (200 mg, every 3 weeks). The primary endpoint was clinical benefit rate [CBR; complete response (CR), partial response (PR), or stable disease (SD) ≥ 24 weeks per RECIST version1.1 at non-irradiated site]. Secondary endpoints included duration on treatment (DoT), overall survival (OS), and safety. Exploratory endpoints included immune response to treatment assessed by correlative tissue and blood-based biomarkers.

Results:

Twenty-eight patients were enrolled and treated. CBR was seen in 6 patients (21.4%), including 2 CR (7.1%), 1 PR (3.6%), and 3 SD (10.7%). Patients with clinical benefit had durable responses, with median DoT of 9.6 months and OS of 14.7 months. The median OS was 6.6 months in the total population. The combination was well tolerated. Correlative studies with Cytometry by Time of Flight (CyTOF) and imaging mass cytometry (IMC) revealed a significant increase of CD8 T cells in responders and of myeloid cells in non-responders.

Conclusions:

The median OS increased by more than 2-fold in patients with clinical benefit. The therapy is a well-tolerated treatment in heavily pretreated patients with mTNBC. Early detection of increased effector and effector memory CD8 T cells and myeloids correlate with response and non-response, respectively.
Evaluation of Appendicular Muscle Mass in Sarcopenia in Older Adults Using Ultrasonography: A Systematic Review and Meta-Analysis
Authors: Zhao Ruina , Li Xuelan , Jiang Yuxin , Su Na , Li Jianchu , Kang Lin , Zhang Yewei , Yang Meng
Published: July 2022

Background: The measurement of appendicular muscle mass is essential for the diagnosis of sarcopenia. Ultrasonography is an accurate and convenient method used to evaluate muscle mass. Objective: The aim of the study was to evaluate the diagnostic value of ultrasonography for appendicular muscle mass in sarcopenia in older adults and find out proper ultrasound parameters. Methods: Medline, Embase, Cochrane, and Web of Science databases were searched for relevant articles. Published studies on the validity and/or reliability of ultrasonography for quantifying muscle mass of the limbs in sarcopenia in the older population were included. A systematic review was conducted based on specific muscles and reference methods. A meta-analysis was conducted to assess the validity and reliability of the ultrasonography. Results: Forty articles were included in this review. There were nine, nine, nine, and four studies included in the qualitative synthesis for a diagnostic test, correlation coefficient, intra-class reliability, and inter-class reliability, respectively. The diagnostic value of rectus femoris (RF) or gastrocnemius (GM) thickness on ultrasonography for sarcopenia or low muscle mass was moderate (the area under summary receiver operating characteristic curve [SROC] = 0.76, 95% confidence interval [CI]: 0.72–0.79, SROC = 0.80, 95% CI: 0.76–0.83, respectively). The pooled correlation between muscle mass on dual-energy X-ray (DXA) or bioelectrical impedance analysis (BIA) and muscle thickness (MT) on ultrasound was moderate (r = 0.56, 95% CI: 0.49–0.62). There was a low-to-moderate correlation between muscle mass on DXA or BIA and cross-sectional area (CSA) on ultrasound (r = 0.267–0.584). The correlation was high to very high between muscle mass from DXA and the ultrasound-predicted formula (r = 0.85–0.963). The CSA from ultrasound had a high or very high correlation with that from computed tomography or magnetic resonance imaging (r = 0.826, intra (inter)-correlation coefficient [ICC] = 0.998–0.999). The respective meta-analyses showed good inter-rater and intra-rater reliabilities (ICC > 0.9). Conclusion: Ultrasonography is a reliable and valid diagnostic method for the quantitative assessment of appendicular muscle mass in sarcopenia in older people. The thickness and CSA of the RF or GM seem to be proper ultrasound parameters to predict muscle mass in sarcopenia. Multicenter studies with large samples and the application of new ultrasonic techniques will be the future research directions.
Apresentação
Authors: Forster Aldaísa Cassanho , Carretta Regina Yoneko Dakuzaku
Published: July 2022

1. INTRODUÇÃO: Aspectos da Educação Interprofissional no PET-Saúde/Interprofissionalidade da Universidade de São Paulo e da Secretaria Municipal de Saúde de Ribeirão Preto2. A educação interprofissional como estratégia de reorientação do modelo de atenção e de saúde no Brasil: contribuições do PET-Saúde3. A experiência da Unifesp Baixada Santista na Educação Interprofissional4. A Educação Interprofissional nas instituições de ensino superior: levantamento sobre disciplinas dos cursos de graduação na saúde5. MOSTRA DE EXPERIÊNCIAS: O PET-Saúde/Interprofissionalidade e as mudanças no currículo, no aprendizado e no processo de trabalho em saúde
Long-Term Leisure-Time Physical Activity Intensity and All-Cause and Cause-Specific Mortality: A Prospective Cohort of US Adults
Authors: Lee Dong Hoon , Rezende Leandro F.M. , Joh Hee-Kyung , Keum NaNa , Ferrari Gerson , Rey-Lopez Juan Pablo , Rimm Eric B. , Tabung Fred K. , Giovannucci Edward L.
Published: July 2022

Background:

The 2018 physical activity guidelines for Americans recommend a minimum of 150 to 300 min/wk of moderate physical activity (MPA), 75 to 150 min/wk of vigorous physical activity (VPA), or an equivalent combination of both. However, it remains unclear whether higher levels of long-term VPA and MPA are, independently and jointly, associated with lower mortality.

Methods:

A total of 116 221 adults from 2 large prospective US cohorts (Nurses’ Health Study and Health Professionals Follow-up Study, 1988–2018) were analyzed. Detailed self-reported leisure-time physical activity was assessed with a validated questionnaire, repeated up to 15 times during the follow-up. Cox regression was used to estimate the hazard ratio and 95% CI of the association between long-term leisure-time physical activity intensity and all-cause and cause-specific mortality.

Results:

During 30 years of follow-up, we identified 47 596 deaths. In analyses mutually adjusted for MPA and VPA, hazard ratios comparing individuals meeting the long-term leisure-time VPA guideline (75–149 min/wk) versus no VPA were 0.81 (95% CI, 0.76–0.87) for all-cause mortality, 0.69 (95% CI, 0.60–0.78) for cardiovascular disease (CVD) mortality, and 0.85 (95% CI, 0.79–0.92) for non-CVD mortality. Meeting the long-term leisure-time MPA guideline (150–299 min/wk) was similarly associated with lower mortality: 19% to 25% lower risk of all-cause, CVD, and non-CVD mortality. Compared with those meeting the long-term leisure-time physical activity guidelines, participants who reported 2 to 4 times above the recommended minimum of long-term leisure-time VPA (150–299 min/wk) or MPA (300–599 min/wk) showed 2% to 4% and 3% to 13% lower mortality, respectively. Higher levels of either long-term leisure-time VPA (≥300 min/wk) or MPA (≥600 min/wk) did not clearly show further lower all-cause, CVD, and non-CVD mortality or harm. In joint analyses, for individuals who reported <300 min/wk of long-term leisure-time MPA, additional leisure-time VPA was associated with lower mortality; however, among those who reported ≥300 min/wk of long-term leisure-time MPA, additional leisure-time VPA did not appear to be associated with lower mortality beyond MPA.

Conclusions:

The nearly maximum association with lower mortality was achieved by performing ≈150 to 300 min/wk of long-term leisure-time VPA, 300 to 600 min/wk of long-term leisure-time MPA, or an equivalent combination of both.