bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient combinatorial optimization by quantum-inspired parallel annealing in analogue memristor crossbar
Authors: Li Can , Jiang Mingrui , Shan Keyi , He Chengping 
Published: May 2023

Abstract
Combinatorial optimization problems are prevalent in various fields, but obtaining exact solutions remains challenging due to the combinatorial explosion with increasing problem size. Special-purpose hardware such as Ising machines, particularly memristor-based analog Ising machines, have emerged as promising solutions. However, existing simulate-annealing-based implementations have not fully exploited the inherent parallelism and analog storage/processing features of memristor crossbar arrays. This work proposes a quantum-inspired parallel annealing method that enables full parallelism and improves solution quality, resulting in significant speed and energy improvement when implemented in analog memristor crossbars. We experimentally solve tasks, including unweighted and weighted Max-Cut and traveling salesman problem, using our integrated memristor chip. The quantum-inspired parallel annealing method implemented in memristor-based hardware has demonstrated significant improvements in time- and energy-efficiency compared to previously reported simulated annealing and Ising machine implemented on other technologies. This is because our approach effectively exploits the natural parallelism, analog conductance states, and all-to-all connection provided by memristor technology, promising its potential for solving complex optimization problems with greater efficiency.
Clinical characteristics of polymyositis-like hypothyroid myopathy in 10 cases
Authors: Qiang Fuyong , Xuan Dan , Chen Lanfang , Li Zhi , Sheng Jun 
Published: May 2023

Abstract
Objectives
To investigated the clinical characteristics and prognosis of hypothyroid myopathy
Methods
The clinical characteristics were analyzed in 10 patients diagnosed with polymyositis-like hypothyroid myopathy. Symptoms and indicators at baseline and after levothyroxine replacement therapy were compared. The correlations of muscle enzyme levels with thyroid function were analyzed.
Results
A total of 10 patients, including 3 males and 7 females, were enrolled. The average onset age was 46.1 ± 10.3 years and duration of disease was 2.1 ± 0.9 months. The first manifestation comprised proximal muscle weakness and myalgia or arthralgia. Liver dysfunction, hyperlipidemia, muscle enzyme increased, pericardial effusion, pleural effusion, and fatty liver was common. All patients were Hashimoto's thyroiditis and negative for myositis antibodies. Pathological muscle biopsies revealed myxoid degeneration and muscle atrophy. The proportion of patients who experienced proximal muscle weakness, myalgia, and/or arthralgia, ALT increased, AST increased, CHOL increased, TG increased, CK increased , CK-MB increased, LDH increased, fT3 decreased, and fT4 decreased were significantly lower after treatment(all P<0.05). Levels of ALT, AST, CHOL, CK, CK-MB, LDH, and TSH were significantly lower while levels of fT3 and fT4 were significantly higher after treatment(all P<0.05). CK, CK-MB, and LDH levels negatively correlated with fT3 and fT4, but positively correlated with TSH (all P<0.05).
Conclusion
Hypothyroid myopathy was more common in female. Most patients had liver dysfunction, hyperlipidemia and abnormal muscle enzyme levels, serous cavity effusion and fatty liver. Electromyography and muscle pathology had no specific alterations. The prognosis was well after levothyroxine replacement therapy.
Fisher Pruning for Developing Real-Time UAV Trackers
Authors: Zhong Pengzhi , Wu Wanying , Dai Xiaowei , Zhao Qijun , Li Shuiwang 
Published: May 2023

Abstract
Unmanned aerial vehicle (UAV)-based tracking has shown large potential in various domains such as transportation, logistics, public safety, and more. However, deploying deep learning (DL)-based tracking algorithms on UAVs is challenging because of limitations in computing resources, battery capacity, and maximum load. Discriminative correlation filter (DCF)-based trackers have become a popular choice in the UAV tracking community owing to their ability to provide superior efficiency while consuming fewer resources. However, the limited representation learning ability of DCF-based trackers leads to lower precision in complex scenarios compared to DL-based methods. Filter pruning is a prevalent practice for deploying deep neural networks on edge devices with constrained resources, and it may be an effective way to solve problems encountered when deploying deep learning trackers on UAVs. However, the application of filter pruning to UAV tracking is underexplored, and a straightforward and useful pruning standard is desirable. This paper proposes using Fisher pruning to reduce the SiamFC++ model for UAV tracking, resulting in the F-SiamFC++ tracker. The proposed tracker achieves a remarkable balance between precision and efficiency, as demonstrated through exhaustive experiments on four popular UAV benchmarks: UAVDT, DTB70, UAV123@10fps, and Vistrone2018, showing state-of-the-art performance.
Simulation of irrotational planar flows in the regions with a rectilinear obstacle using conformal mappings
Authors: Lu Yibin , Zhao Xin , Wu Kang 
Published: May 2023

Abstract
In this paper, we simulate the irrotational planar flows in the region with a rectilinear obstacle using conformal mappings. Firstly, conformal mappings from an unbounded multiply connected region with a rectilinear slit onto three canonical slit domains are calculated using the premap function and the charge simulation method. Secondly, to accurately approximate the conformal mapping functions, we propose an iterative method based on the Adams prediction-correction method for solving the constraint equations generated by the charge simulation method. Finally, the numerical examples illustrate the effectiveness of the proposed method.
Isolation and molecular characterization of root nodules bacteria on inoculated Bambara groundnut (Vigna subterranea (L) Verdc) Accessions
Authors: Bitire Tope Daniel , Abberton Michael , Oyatomi Olaniyi , Babalola Olubukola Oluranti 
Published: May 2023

Abstract
Soils in the tropics have often shown diverse reduction in the population of bacteria due to the pressure on the agricultural system with the nature of the climatic conditions, which eventually affect soil health. High priority has been placed on rhizobia inoculants over the inorganic fertilizer by farmers and this has led to the onset of great research on tropical rhizobia strains. In this study, bacteria isolates from root nodules of inoculated Bambara groundnut (BGN) were characterized using 16S rRNA gene, nitrogen fixing gene (nifH) and nodulating gene (nod A and nodC ). The result of the 16S rRNA revealed that the root of BGN are mostly associated with Bradyrhizobium spp (B. spp), which include: B. diazoefficiens, B. japonicum and Rhizobium spp in the screenhouse. The nifH, nod A and nod C gene analysis revealed that Streptomyces bacillaris, Pseudomonas knackmussi, B. ekanii, Sinorhizobium meliloti, Mesorhizobium spp, Bradyrhizobium spp and Rhizobium spp were isolated from the field in two locations (Ibadan and Ikenne). The rhizobia isolates have been previously confirmed to be playing an important role in nodulation and nitrogen fixation of BGN. The result of the study, therefore, revealed the isolation of bacteria species from the root nodules of BGN accessions using molecular techniques.
Tolerance to ethanol: cerebellar apoptotic parameters and circulating miRNAs in senile UChB rats (voluntary ethanol consumers)
Authors: Martinez M. , Rossetto I. M. U. , Lizarte F. S. N. , Tirapelli L. F. , Tirapelli D. P. C. , Fioravante V. C. , Martinez Francisco Eduardo 
Published: May 2023

Abstract
Background Despite the absence of scientific data supporting the real impact of drinking on elderly individuals, alcohol abuse is a common feature of older people. Because aging is associated with biological changes that include reduced water volume in the body, lower efficiency of liver enzymes and hepatic blood flow, and altered brain responsiveness due to drug interactions, elderly individuals are more prone to the harmful effects of alcohol consumption. The adverse effects of acute or chronic exposure to ethanol have been extensively recognized on cerebellar circuits, with impairment in movement and balance. In addition to motor deterioration, cerebellar degeneration contributes to distinct neuropsychological deficits in chronic alcoholics and children with prenatal exposure to ethanol. However, the effects on senile individuals are unclear. This study determines the pattern of MicroRNAs, gene expressions, apoptotic and anti-apoptotic protein levels, and ultrastructural analysis of neurons to contribute to the understanding of the consequences of alcohol abuse on the senile cerebellum.Methods and Results The results of immunohistochemical and gene expressions for Caspase-3, XIAP, and IGFR-1 were similar in both groups. Serum levels of miR-9-3p, -15b-5p, -16-5p, -21, − 200a, and − 222-3p were upregulated in the presence of ethanol with aging.Conclusions The results suggest an important tolerance development by the UChB rats to chronic ethanol consumption in the aged cerebellum, and miRNAs may be potentially involved with this mechanism.
Application to Assist People with Low or No Visual Capacity:DiceApp
Authors: Hernández-Díaz Nicolás , Pañaloza Yersica C , Rios Y. Yuliana , Martinez-Santos Juan Carlos , Puertas Edwin 
Published: May 2023

Abstract
This work presents the development of an application designed in Python using the Kivy and KivyMD libraries (for cross-platform) to identify the result of two six-sided dice in an environment with uncontrolled lighting to amplify the visual adequacy of people with low or no visual capacity; as an environment, we propose the use of a template similar to the casino game known as Craps. We structure the developed software in four stages. The first stage consists of linking the APP with a digital camera either connected to a local network through an IP address or wired via USB; the second stage consists of determining the right time to process the image of interest through the acquisition and comparison of features such as color and position of the dice; the third stage seeks to perform the segmentation, and non-binary classification of the value reported by each die through intelligent computer vision algorithms such as color space conversion, Euclidean distance, and CNN; and the last stage presents the results obtained after the classification through a loudspeaker to inform people with no visual ability and through enlarged digital text for people with low visual capability. The possible expected result is a system that integrates the four stages mentioned above through an intuitive and accessible low-cost APP designed in Python, aimed primarily at people with low or no visual capability. Due to the characteristics of board games that make use of 6-sided dice, people with low or no visual capacity face a problem of quality or interpretation of results after a pair of dice have been thrown, which generates a situation of indirect exclusion by inhibiting this part of the population from accessing this type of recreation or social interaction regularly.
How to control municipal solid waste incineration pollution? Exploration of the third-party supervision.
Authors: Li Huijie , Tan Deqing 
Published: May 2023

Abstract
Municipal solid waste (MSW) is gradually rising along with residents' living conditions, which boosts the demand of the waste incineration. However, environment and public health are seriously threatened by incineration pollution. In this study, we present a model of third-party enterprise supervision and build a differential game model among the government, third-party supervision enterprise, and waste incinerator. We investigate how to encourage third-party enterprises to increase their supervision and avoid the collision. The results show that: (1) In the long run, the third-party supervision mode is more conducive to reducing incineration pollution. (2) The governments must set a higher penalty for third-party enterprises to avoid the collision. Meanwhile, compared with the supervision approach, we suggest governments in large cities implement penalty mechanisms to prevent collusion. (3) As the amount of MSW increases, compared with the supervision of third-party enterprises on incinerators, the government's punishment policy is more effective in promoting incineration plants to increase pollution control input. The paper offers policy recommendations to the government that can assist to lessen waste incineration pollution and improve MSW management efficiency.
Distribution of Suspended Sediment in Flow through Rigid Vegetation
Authors: LYU Shengqi , CHEN Junzhou , TANG Hongwu , LIANG Dongfang , CHEN Jun , CHEN Jieren 
Published: May 2023

Abstract

This paper studies the influence of rigid vegetation on the vertical distribution of the Suspended Sediment Concentration (SSC) through a series of flume experiments. Acoustic Doppler Velocimetry (ADV) and a carefully designed water sampling device were used to measure the turbulent velocities and the SSC in non-vegetated, submerged vegetated, and emergent vegetated flows. The results reveal the differences in vertical distributions of the SSC in these three vegetation situations. The vertical distribution of the SSC in non-vegetated and submerged vegetated flows exhibits a reverse "S" shape, while, in emergent vegetated flows, it shows a hyperbolic concave shape. The non-uniformity of the vertical distributions differs greatly under the three hydraulic conditions, with the greatest in non-vegetated flow, followed by emergent vegetated flow and the smallest in submerged vegetated flow. By analyzing the turbulence characteristics, the concept of Turbulent Diffusion Potential (TDP) is proposed, which refers to the movement tendency of sediment particles because of the turbulent diffusion. The value of TDP is defined as the skewness coefficient of the turbulent velocity fluctuation. In turbulent flows, the non-uniformity of the vertical distribution of the SSC is closely related to the vertical distribution of TDP.
Analysis of the effect of Ivor-Lewis esophagectomy and McKeown esophagectomy on perioperative anxiety and depression in patients with esophageal cancer
Authors: Du Jun , Kang Zhuangzhuang , Zhao Zhili , Wu Han , Chen Yimin , Zhang Chensong , Chen Yuzhong , Liang Wanqing , wang Qingkang , Ma Jiachi 
Published: May 2023

Abstract
Purpose To compare the effects of Ivor-Lewis esophagectomy and McKeown esophagectomy on perioperative anxiety and depression in patients with esophageal cancer and to analyze the influencing factors.Methods Sixty-three patients with stage I-III middle and lower esophageal carcinoma who visited the Department of Oncology of the First Affiliated Hospital of Bengbu Medical College from June 2021 to December 2022 were randomly divided into observation group (n = 32) treated with laparoscopic Ivor-Lewis esophagectomy and control group (n = 31) treated with laparoscopic McKeown esophagectomy. The Self-rating Depression Scale (SDS) and Self-rating Anxiety Scale (SAS) were administered on the second day following admission and the fifth day after surgery to assess the presence of depression and anxiety. The preoperative and postoperative clinical data of both groups were compared, and multivariate analysis was used to identify risk factors associated with depression and anxiety in patients with esophageal cancer.Results There were no significant differences in the general clinical data between the two groups before surgery (P > 0.05). The incidence of postoperative complications in patients who underwent radical resection of esophageal carcinoma using Ivor-Lewis esophagectomy was significantly lower than that in the McKeown esophagectomy group (P < 0.05). There was no significant difference in SDS and SAS standard scores of depression between the observation group and the control group (P > 0.05). The postoperative SDS and SAS scores in the control group were significantly higher than those before and after operation in the observation group (P < 0.01). According to univariate analysis, patients with TNM stage III, tumor diameter greater than 3 cm, postoperative complications, radical McKeown esophagectomy, and C-reactive protein levels above 10 mg/L had a higher incidence of depression and anxiety (P < 0.05). Multivariate logistic regression analysis showed that TNM stage III, postoperative complications, surgical approach, and C-reactive protein were all independent factors for depression and anxiety in patients after esophageal cancer surgery (P < 0.05).Conclusion Laparoscopic Ivor-Lewis esophagectomy and McKeown esophagectomy are both effective treatments for middle and lower thoracic esophageal cancer. However, Ivor-Lewis esophagectomy offers significant advantages in preventing complications and improving postoperative recovery efficiency. The Ivor-Lewis esophagectomy has the advantages of fewer complications and low inflammatory response, which can help alleviate anxiety and depression and improve patients' quality of life and prognosis.
Development, budget and environmental policy in Brazil's Amazon interior: the case study of Alenquer, Pará
Authors: Bandeira Felipe de Lima , de Jesus Marieia Sousa , Leão Andréa Simone Rente , Santos Marco Aurélio Oliveira , Soares Francisco Igo Leite 
Published: May 2023

Abstract
The purpose of this research is to understand how public spending has been used to promote sustainable development and finance environmental management policies in Brazil's Amazon interior and, particularly, in the city of Alenquer-PA. Thus, our debates are based on sustainable development and its implications for the Amazon, having the city of Alenquer/PA as a case study. From this analysis, it was found that public management and budgeting are fundamental tools in this process. The public accounts of Alenquer were analyzed as a means to capture the environmental dimension of sustainable development at the local level and the fiscal scope of environmental management policies. An interview was conducted with the representative of the Municipal Department of Environment (SEMA) to complement the analysis and have a more accurate view of the process.
Optimizing fluorine labelling for 19F solid-state NMR in oriented biological systems II: a Solution
Authors: Cockburn Kieran T. , Sykes Brian D. 
Published: May 2023

Abstract
The focus of this project is to take advantage of the large chemical shift anisotropy of 19F to determine the orientation of fluorine labeled biomolecules in situ in oriented biological systems such as muscle. The utility of a labeling approach with two fluorine labels in a fixed molecular framework where one of the labels has an axially symmetric chemical shift anisotropy such as a CF3 group and the other has a fully asymmetric chemical shift anisotropy such as 5-fluorotryptophan is evaluated.
Improved SSD for Door Panel Missed Installations Inspection Using PASSD
Authors: Yuan Hao , Okpor Samuel , Kong Xiao 
Published: May 2023

Abstract
In the context of made in china 2025 and industry 4.0, the application research of intelligent manufacturing and process design of intelligent workshop are in a full swing, traditional manual inspection methods are time consuming, inconsistent and prone to error, so this research proposes the use of PASSD for Automatic inspection of Missed installation on Car Door panels. The proposed custom inspection algorithm is a modified Single Shot Detector (SSD) with a ResNet50 backbone, then We used the Residual Convolutional Block Attention Module (RCBAM) to reduce the influence of background factors. Then added a multi-branch dilated convolution module (MDCM) to obtain information on multi-scale receptive fields and get more contextual information, and finally we added a Progressive Attention Module (PAM) to further refine the feature representations. The PAM module takes the output of the MDCM as input and progressively refines it through a series of a three stage attention mechanism. A focal loss is used as the loss function. These improvements are done to improve the detection algorithm detection rate and reduce false positives at modest speed. A Jaka robot arm is also used to move the camera across the panel to perform multiple inspections per-cycle. The experiments conducted show promising results, improving the quality inspection process in the car door panel production industry. This research provides a foundation for future studies in the application of Computer vision for car parts inspection.
Gauging Lie group symmetry in (2+1)d topological phases
Authors: Cheng Meng , Hsin Po-Shen , Jian Chao-Ming 
Published: May 2023

We present a general algebraic framework for gauging a 0-form compact, connected Lie group symmetry in (2+1)d topological phases. Starting from a symmetry fractionalization pattern of the Lie group GG, we first extend GG to a larger symmetry group \tilde{G}G̃, such that there is no fractionalization with respect to \tilde{G}G̃ in the topological phase, and the effect of gauging \tilde{G}G̃ is to tensor the original theory with a \tilde{G}G̃ Chern-Simons theory. To restore the desired gauge symmetry, one then has to gauge an appropriate one-form symmetry (or, condensing certain Abelian anyons) to obtain the final result. Studying the consistency of the gauging procedure leads to compatibility conditions between the symmetry fractionalization pattern and the Hall conductance. When the gauging can not be consistently done (i.e. the compatibility conditions can not be satisfied), the symmetry GG with the fractionalization pattern has an ’t Hooft anomaly and we present a general method to determine the (3+1)d topological term for the anomaly. We provide many examples, including projective simple Lie groups and unitary groups to illustrate our approach.
Development of overlying water aeration system powered by sediment-microbial-fuel-cell for nutrient suppression
Authors: Matsuki Masaya , Hirakawa Shusaku 
Published: May 2023

Abstract

Sediment microbial fuel cells (SMFCs) represent a burgeoning technology that allows the remediation of sediments, such as nutrient suppression, while concurrently generating electricity. However, there is a limitation in that the nutrient suppression effect is restricted to a narrow range near the electrode. To address this issue, we developed an SMFC-aeration system, which intermittently aerates the overlying water with the power of SMFCs, thereby enhancing the nutrient suppression effect of SMFCs. The SMFC-aeration system achieved stable charge/discharge cycles through a capacitor-based circuit and aerated the overlying water. The dissolved NH4+ and NO2- concentrations in the overlying water decreased. Suppression in the dissolved NH4+ concentration near the anodes was also noticed compared to a consortium that employed only SMFCs. These findings were brought about by the synergistic effect of the SMFC-aeration system, which enabled the remediation of sediments and overlying water. To our knowledge, this is the first report on the intermittent operation of pumps by SMFCs, the increase of DO, and nutrient suppression. The SMFC-aeration system holds great potential as an environmental remediation method in closed-water areas in the future.