bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human Intention Recognition for Lower Limb Rehabilitation Exoskeleton Robot
Authors: Chen Jing , Yu Zhiyuan , Zhu Xiaorong , Jia Longfei , Huang Yuping 
Published: September 2021

Abstract
With the increasing aging of the population, the contradiction between the increasing demand for rehabilitation and the insufficient rehabilitation medical resources of the patients with moderate limb disorders in stroke is increasingly prominent. As a new means of rehabilitation, rehabilitation exoskeleton robot has gradually become a research hotspot in recent years. The rapid and accurate recognition of human lower limb movement intentions is very important for the control system of lower limb rehabilitation exoskeleton robots, this paper innovatively proposes an adaptive inertial weighted improved particle swarm optimization LSTM algorithm (IPSO-LSTM), which not only characterizes the mapping relationship between the surface EMG (sEMG) signal and the joint angle of the lower extremity in continuous motion, but also solves the values random setting problems of iterations number, learning rate and hidden layer number. More importantly, the optimization algorithm solves the network over fitting problem and further improves the predict accuracy of the model. Finally, based on the complex system of lower limb rehabilitation exoskeleton robot, the algorithm is applied to the human-machine cooperative control experiment of active rehabilitation training, the experiment verifies that the IPSO-LSTM algorithm model can meet the requirements of real-time and accuracy of active intention recognition.
Nanoscale Imaging of Biomolecules using Molecule Anchorable Gel-enabled Nanoscale In-situ Fluorescence Microscopy
Authors: Klimas Aleksandra , Gallagher Brendan , Wijesekara Piyumi , Fekir Sinda , Stolz Donna , Cambi Franca , Watkins Simon , Barth Alison , Moore Christopher , Ren Xi , Zhao Yongxin 
Published: September 2021

Abstract
Expansion microscopy (ExM) is a powerful imaging strategy that offers a low-cost solution for nanoimaging with conventional microscopes by physically and isotropically magnifying preserved biological specimens embedded in a cross-linked water-swellable hydrogel. Current ExM protocols require prior treatment with specialized reactive anchoring chemicals to link specific labels and biomolecule classes to the gel. In addition, most techniques reportedly use strong Proteinase K to digest endogenous epitopes to enable expansion and are limited by using mechanically fragile gel formulas to expand specimens by at most 4.5× linearly. Here we describe a new ExM framework, Molecule Anchorable Gel-enabled Nanoscale In-situ Fluorescence MicroscopY (MAGNIFY), that uses a mechanically sturdy gel that enables broad retention of nucleic acids, proteins, and lipids without the need for a separate anchoring step. MAGNIFY expands biological specimens up to 11× and facilitates imaging of cells and tissues with effectively ~25-nm-resolution using an ∼280-nm diffraction-limited objective lens on conventional optical microscopes or with ~13 nm-resolution if combined with Super-resolution Optical Fluctuation Imaging (SOFI). Further, MAGNIFY generalizes well across a broad range of biological specimens, providing insight into nanoscopic subcellular structures including synaptic proteins from mouse brain, podocyte foot processes in human kidney, and defects in cilia and basal bodies in drug-treated human lung organoids. MAGNIFY provides a novel advance that expands the precision, utility, accessibility, and generality of subcellular nanoscopy.
The influence of water content on selected physical properties of cereal seeds to improve the precision of DEM simulation
Authors: Gierz Łukasz , Kolankowska Ewelina , Markowski Piotr 
Published: September 2021

Abstract
This article presents the results of research on the influence of moisture on changes in selected physical properties, i.e. the length, width, thickness and weight of dressed and untreated cereal seeds in order to improve the simulation process based on the discrete element method (DEM). The research was conducted on the seeds of three winter cereals, i.e. triticale, rye, and barley. The seeds with an initial moisture content of about 7% were moistened to 5 levels, ranging from 9.5% to 17.5%, at an increment of 2%. The statistical analysis showed that moisture significantly influenced the physical properties of the seeds , i.e. their length, width, thickness, and weight. As the moisture content of the seeds increased, there were greater differences in their weight. The average increase in the thousand kernel weight resulting from the increase in their moisture content ranged from 4 to 6 mg. The change in the seed moisture content from 9.5% to 17.5% significantly increased the volume of rye seeds from 3.10% to 14.99%, the volume of triticale seeds from 1.00% to 13.40%, and the volume of barley seeds from 1.00% to 15.33%. These data can be used as a parameter to improve the DEM simulation process.
Intratumoral Injection of H101 in Combination With Concurrent Chemoradiotherapy for Locally Advanced Cervical Cancer
Authors: Zhang Xiang , Wang Yingchang , Lv xiaojuan , Wang Fangfang , Zhou Qiong , Zhang Feiya , Zhang Meng , Chen Jianhong 
Published: September 2021

Abstract
BackgroundTo evaluate the clinical benefit of concurrent chemoradiotherapy in combination with H101 injection for the treatment of locally advanced cervical cancer (LACC) patients.MethodsThe patients, all diagnosed with stage IIB or III cervical cancer according to The International Federation of Gynecology and Obstetrics (FIGO) stage (2009) with tumor length ≥6cm were enrolled at Zhejiang Cancer Hospital from July 2015 to April 2017. All patients received concurrent chemoradiotherapy (CCRT) in combination with intratumoral H101 injection before and during external beam radiotherapy (EBRT). The parameters recorded and analyzed included progression-free survival (PFS), overall survival (OS), tumor regression after EBRT and side effects, which were compared to another group of patients with similar characteristics treated with CCRT alone.ResultsTwenty patients were treated with CCRT in combination with intratumoral H101 injection and another group of 20 patients treated with CCRT alone was selected as control. The median follow-up time was 38 months (range 10-58 months). The 3-year local, regional, and overall PFS rates were 95% vs 66.6%(p = 0.02), 95% vs 62.5%(p = 0.029), and 65% vs 43.8%(p = 0.19), for H101 group and control group respectively. The 3-year (OS) was 74.3% vs 54.5%(p = 0.098), respectively. The median reduction of tumor length and volume for H101 group and control group were 37.7% vs 28.7%(p = 0.016) and 75.1% vs 62.4%(p = 0.001), respectively. The major adverse event related to H101 was fever.ConclusionCCRT in combination with intratumoral H101 injection is effective in treating LACC, and has an acceptable safety profile.Trial registrationThe study was registered at Chinese Clinical Trail Registry (ChiCTR-OPC-15006142).
Novel Approach for Battery Type Determination: A Mere Electrical Alternative
Authors: Dikmen İsmail Can , Karadağ Teoman 
Published: September 2021

Abstract
Today, the storage of electrical energy is one of the most important technical challenges. The increasing number of high capacity, high-power applications, especially electric vehicles and grid energy storage, points to the fact that we will be faced with a large amount of batteries that will need to be recycled and separated in the near future. An alternative method to the currently used methods for separating these batteries according to their chemistry is discussed in this study. This method can be applied even on integrated circuits due to its ease of implementation and low operational cost. In this respect, it is also possible to use it in multi-chemistry battery management systems to detect the chemistry of the connected battery. For the implementation of the method, the batteries are connected to two different loads alternately. In this way, current and voltage values ​​are measured for two different loads without allowing the battery to relax. The obtained data is pre-processed with a separation function developed based on statistical significance. In machine learning algorithms, artificial neural network and decision tree algorithms are trained with processed data and used to determine battery chemistry with 100% accuracy. The efficiency and ease of implementation of the decision tree algorithm in such a categorization method are presented comparatively.
Institutional Quality and Sustainable Development: Empirical Study in 10 Arab Countries
Authors: Hassoun Salah Eddine Sari , Chibi Abderrahim , Chekouri Sidi Mohamed , Terbeche Mohammed 
Published: September 2021

Abstract
In this paper, we analyse the impact of the institutional quality on the sustainable development in 10 Arab countries during the period 1995-2019. Despite the significant improvement that have known some countries in recent years in terms of development indicators, the Arab authorities still require more efforts to improve their governance and to enhance the developmental impact of oil revenues. However, the deterioration of the institutional environment indicators remains the biggest obstacle to achieve the development goals, and limits the effectiveness of economic reforms. Therefore, we found from the empirical study that there is a positive significant effect on sustainable development (expressed by adjusted net saving) for capital per capita, oil rents, per capita and trade openness, while there is a negative significant effect for gross national income, and total natural resources rents. However, the institutional indexes have a positive and insignificant impact, indicating that there is an evidence of a weak political structure and weak political awareness of Arab societies.
Minimizing the Energy Consumption of Holes Machining Integrating the Optimization of Tool Path and Cutting Parameters on CNC Machines
Authors: Feng Chunhua , Chen Xiang , Zhang Jingyang , Huang Yugui , Qu Zibing 
Published: September 2021

Abstract
The application of sustainable manufacturing technologies is the new challenge faced by enterprises, industries, and researchers under the background of supporting carbon peak and carbon neutral. This paper studies how to reduce the energy consumption of holes machining through optimizing tool path and cutting parameters simultaneously. The integrated optimization methodology can further reduce the energy consumption comparing with optimizing the tool path or cutting parameters separately. Firstly, the energy model of holes machining is established based on machine tools’ energy composition, tool path planning, and process parameters. Due to tool path planning as air cutting process has big relationship with reducing energy, especially for holes group with a big proportion in the whole process. The tool path of holes processing is optimized by the improved ant colony algorithm to solve the issue considering the distance from one hole to the next hole. Based on this optimized path, a multi-objective optimization model for hole cutting parameters is established, considering the spindle speed and feed rate as the optimization variables and machining time, energy consumption, and surface roughness as the objective function. The non-dominated sorting genetic algorithm (NSGA-Ⅱ) is employed to solve the multi-objective optimization problem of holes machining. The case study with 50 holes is used to testify the application of the proposed method to provide the practical energy efficiency strategy for holes group or multi-hole parts on CNC machines assisting in achieving sustainable production in manufacturing sectors.
SMC1A promotes tumor growth in breast cancer by activation of the AKT/FOXM1/STMN1 Signaling Pathway
Authors: li kaichun , Dai Ping , Xue Lin , Liu Long , Cheng Shiyu , Fang Qingliang , Wu Bingxiang 
Published: September 2021

Abstract
Background

SMC1A (Structural maintenance of chromosomes 1) is overexpressed in various cancers and acts as an oncogene which has been implicated in critical biological functions (cell-cycle checkpoints regulation, cell division, and DNA repair). However, the mechanism and role of SMC1A in breast cancer are poorly understood.
Methods

TCGA database was utilized to explore the expression of SMC1A and the relationship between SMC1A and FOXM1 and STMN1. Subsequently, short hairpin RNA (shRNA) targeting SMC1A was used to examined the biological functions of it in MDA-MB-231 and MDA-MB-468 cells. Finally, subcutaneous xenograft model to verify the roles of SMC1A in vivo.
Results

In the present study, we demonstrated that SMC1A was significantly increased in breast cancer (BC) via TCGA database. Then loss and gain of function studies revealed that SMC1A contributed to BC cell survival, apoptosis, and invasion. Interestingly, we found that SMC1A triggered the AKT/FOXM1 cascade, which promoted BC cell proliferation. Furthermore, overexpression of FOXM1 abolished the inhibition of cell growth induced by SMC1A silencing in vitro. Clinically, the expression of SMC1A in BC tumor tissues is positively correlated with the expression of FOXM1.
Conclusion

Taken together, our findings not only enhanced our understanding of molecular mechanisms of SMC1A in BC, but also might provide a novel target for the development of therapeutic strategies.
The Impact of Integrating the Palliative Prognostic Index into Palliative Consultation on Patients with Haematologic Malignancies: A Case control study
Authors: Chang Yueh-Shih , Lee Hui-Chen , Huang Yen-Min , Wang Cheng-Hsu , Lai Chien-Hong 
Published: September 2021

Abstract
Background

The study aims to investigate the influence of integrating the Palliative Prognostic Index (PPI) into the consultation system for patients with haematologic malignancies.
Methods

We retrospectively enrolled 53 patients with haematologic malignancies. The PPI was evaluated at the first palliative consultation. Patients were divided into two groups: before the use of the PPI (23 patients) and after the use of the PPI (30 patients).
Results

We first confirmed that the life expectancy for patients with haematologic malignancies was correlated with the PPI score ranking (p < 0.01). For patients with a PPI score > 6, agreement to attend hospice care was significantly higher (p = 0.01). After the use of the PPI, the mean survival time from the first consultation to death was 131.4 ± 55.9 days, which was significantly longer than before the use of the PPI (p < 0.01). Meanwhile, more leukaemia patients received palliative consultation and fewer antibiotics in their end of life care. Although there was no difference in agreement for hospice care after the first consultation, we believed that the concept of palliative care had been delivered to patients and their families.
Conclusions

The PPI score is a good prognostic index for patients with haematologic malignancies. The use of the PPI score in the first consultation enables patients, families and haematologists to become aware of the necessity of palliative care.
Dynamic Modeling and Parameter Identification for a Gantry-type Automated Fiber Placement Machine
Authors: Cheng Liang , Wu Jianbo , Guo Yingjie , Li Jiangxiong , Ke Yinglin 
Published: September 2021

Abstract
Dynamic models play a critical role in the design of model-based controllers, and therefore have a significant effect on the dynamic characteristics of motion equipment. We mainly focus on the dynamic modeling and parameter identification for a gantry-type automated fiber placement (AFP) machine in this paper. First, a dynamic modeling process combining prismatic axes and revolute axes is conducted by the Newton-Euler method, in which the effects of friction and hydraulic balance system are also considered. Then, as the convenience for parameter identification and the application in linearity control, the methods of dynamic model linearization and determination of minimum inertial parameters based on the multi-body system (MBS) theory are proposed, and a dynamic model in the form of linearized minimum inertial parameters is consequently established. To identify the parameters in the model, key issues regarding excitation trajectory, filtering, and identification algorithm are discussed in detail. Finally, corresponding experiments are performed on the AFP machine, and experimental results show that there is a good agreement between the prediction of the model and the measurement in actuality. Data analysis shows that except for Z-axis, the relative error rates of the others are not greater than 5%, which proves the effectiveness of the established dynamic model and the identified parameters.
Lymph Nodes Dissection Guided by Nano-carbon in Laparoscopic Rectal Cancer Surgery
Authors: Wang Anqi , Bian Ce , Zhang Beibei , Zhou Haiyang , Zhang Jian 
Published: September 2021

Abstract
BackgroundTo evaluate the role of nano-carbon as a tool for achieving adequate lymph nodes (LNs) dissection and to compare the number of LNs retrieved with and without the use of nano-carbon in laparoscopic rectal cancer surgery.MethodsProspective data collected from September 2018 to August 2019 was retrospectively analyzed. 35 rectal cancer patients received nano-carbon guided laparoscopic rectal cancer surgery were compared with 35 patients without nano-carbon guidance in the evaluation of number of LNs harvest, as well as whether adequate number of LNs retrieved (defined as ≥12).ResultsThe average number of LNs harvest was significantly higher in the nano-carbon group than that in the control group (16.4 vs. 12.1, P=0.008). In patients received neoaduvant therapy, the average number of LNs harvest was also significantly higher in the nano-carbon group than that in the control group (13.8 vs. 7.4, P=0.011). The percentage of adequate LNs retrieval was higher in the nano-carbon group than that in the control group (82.9% vs. 62.9%, P=0.038). In patients received neoaduvant therapy, the percentage of adequate LNs retrieval was much higher in the nano-carbon group than that in the control group (75.0% vs. 28.6%, P=0.021).ConclusionThe use of nano-carbon increases the number of LNs harvested compared with the conventional procedure in laparoscopic rectal cancer surgery.
Static allometry suggests female ornaments in the long-tailed dance fly (Rhamphomyia longicauda) are not deceptive
Authors: Browne Jessica H , Gwynne Darryl T. 
Published: September 2021

Abstract
Despite their prevalence in nature, the evolution of sex-specific female ornaments is still not well understood. Although in some cases (often carotenoid-based ornaments) they appear to honestly signal quality, such as fecundity, it has been suggested that some female ornaments have evolved to deceptively to obtain matings. We address these two hypotheses in the long-tailed dance fly ( Rhamphomyia longicauda ), where females possess two sex-specific ornaments: pinnate scales on the hind femur and tibia and abdominal sacs that are inflated in female-biased display swarms. Although several studies have suggested that female ornaments in this species are deceptive, evidence is mixed and requires further investigation. Here, we use static allometry (with body size as a proxy for condition) of both ornamental and non-ornamental traits in females (and homologous non-ornamental traits in males) in order to determine whether they are honest or deceptive signals of quality. Most male traits scaled isometrically with body size, however male leg hairs showed positive static allometry, probably because they are involved in nuptial-prey capture or in grasping mates. Ornamental traits in females (abdomen area and tibia scale length) showed significant positive allometry and had steep slopes relative to non-ornamental traits. As larger females invest more in ornamentation relative to smaller females, this suggests that these traits are likely honest, condition-dependent signals of quality. We note that honesty and deception are not mutually exclusive hypotheses. Individuals may vary in their signalling strategy, resulting in, for example, deception from some low condition individuals but honesty overall. Although our finding of positive allometry makes it unlikely this occurs in long tailed dance flies, simultaneous honesty and deception should be considered in future studies of female ornamentation.
Association Between Enrollment in an Enhanced Recovery Program for Colorectal Cancer Surgery and Long-Term Recurrence and Survival
Authors: Vaca Andrés Zorrilla , Ripolles-Melchor Javier , Abad-Motos Ane , Mingu Inés Rubiera , Moreno-Jurado Nekane , Martínez-Durán Fátima , Pérez-Martínez Isabel , Abad-Gurumeta Alfredo , Varela María L. FuenMayor , Mena Gabriel E. , Grant Michael C. 
Published: September 2021

Abstract
IntroductionEnhanced Recovery After Surgery (ERAS) programs have been shown to minimize the surgical inflammatory response in colorectal cancer, leading to early patient recovery and better postoperative outcomes. Our objective was to determine the association between an ERAS program for colorectal cancer surgery and oncologic recurrence and survival.MethodsA before-after intervention study was designed including patients who underwent colorectal cancer surgery between November 2010 and March 2016. During the study period the institutional criteria for adjuvant therapy remained unchanged and all patients were followed up for 5 years. Cox hazard regression analysis was performed per cumulative year of follow up to evaluate the association between ERAS program exposure and overall survival, cancer-related mortality, and oncologic recurrence. Subgroup analysis was performed by cancer stage (low [I/II] vs advanced [III/IV]).ResultsIn total, 612 patients were included, of which 321 were pre-ERAS and 291 ERAS. Our overall median compliance rate with ERAS interventions was 90% (IQR 85%-95%). Overall survival rates were higher in the ERAS group within the first 2-years after surgery (89.2% vs 83.2%, P=0.04), but there was no difference at 5-year follow up (73.3% vs 72.5%, P=0.82). Subgroup analysis revealed the ERAS enrollment was associated with a significantly lower risk in 5-year oncologic recurrence (aHR 0.55, 95%CI 0.33-0.94, P=0.03) and higher 4-year survival (aHR 0.59, 95%CI 0.37-0.93, P=0.02) among patients with advanced cancer stage compared to pre-ERAS counterparts. ConclusionsPatients with advanced colorectal cancer were less likely to suffer oncologic recurrence when managed during the ERAS period. Additional prospective trials are necessary to determine causation and identify best practice principles associated with long-term recurrence and survival.