Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating Tool Wear, Chip Behaviour and Spring Back Action Using FEM

The tool wear found in machining processes represents main obstacle for machinability due to its detrimental effects on surface roughness, material removal rate and machining economy. A nonlinear thermomechanical finite element model was developed to simulate the tool chip interaction. This model predicts not only the chip morphology and chip flow direction, cutting forces values, stress distribution, but also can use to predict tool wear. Furthermore, the effect of elastic deformation (spring back) and the thermal effect have been considered in the model. Cutting force was predicted and compared with the conducted experimental work. Dry turning operation was carried out on low carbon steel using carbide tool. The tool/workpiece interface stress on flank face was calculated and compared with the FEM. Predicted results show good correlation with the FEM. FE model was verified experimentally by measuring the cutting force. The friction on the flank face and spring back concentrates the stress on the flank face. investigated the effect of textured cutting tool on the cutting force and chip-tool contact length using 3D FE using AdvantEdge 3D software which used lagrangian dynamic explicit. They investigated different shapes of textures as circular, rectangular, triangular and elliptical. The model was built to simulate turning of Ti6Al4V titanium alloy. They found that the textured area affected significantly on the cutting force while the shape of texture effect came the second.
Using Web 2.0 to Make Libraries More User-Oriented: Outcomes from a Case Study at Loughborough University Library (UK)

In her presidential address, the 2009-2011 IFLA President, Ellen Tise indicated that Libraries Driving Access to Knowledge (A2K) would be the theme to inform her term of office. Tise identified various strands of this theme which libraries and librarians need to address in order to ensure that effective A2K takes place, one of which is the driver that “libraries and librarians must become more user-oriented by:
Therapeutic Efficacy of Flavonoids in Allergies: A Systematic Review of Randomized Controlled Trials

Objective To assess the clinical efficacy of flavonoid supplements on allergic diseases. Design Systematic review. Data Sources. MEDLINE/PubMed, Scopus, Web of Science, and Embase databases were searched from inception to September 2021. Eligibility Criteria for Selecting Studies. Eligible study designs were randomized controlled trials that investigated the effect of flavonoids applied to allergic diseases. Results This review included 15 randomized controlled trials, including allergic rhinitis/cedar pollinosis (n = 10), asthma (n = 3), and atopic dermatitis (n = 2). A total of 990 participants aged 6 to 69 years were included in these studies. Globally, 12 studies (80%) revealed some benefits of flavonoids (isolate or combined with other compounds) in allergic patients, while three studies (20%) reported no statistically significant impact on symptom scores and/or lung function. No severe adverse events related to treatment were reported. According to the GRADE system, the outcomes evaluated were of low to moderate quality of evidence. Conclusions Overall, this review suggests that the administration of flavonoids may provide a viable strategy for mitigating allergic symptoms. Future trials with high methodological quality are needed to establish definitive conclusions. This trial is registered with PROSPERO registration no. CRD42021237403.
Apoptotic p53 Gene Expression in the Regulation of Persistent Organic Pollutant (POP)-Induced Oxidative Stress in the Intertidal Crab Macrophthalmus japonicus

Persistent organic pollutants (POPs), some of the most dangerous chemicals released into the aquatic environment, are distributed worldwide due to their environmental persistence and bioaccumulation. In the study, we investigated p53-related apoptotic responses to POPs such as hexabromocyclododecanes (HBCDs) or 2,2′,4,4′-tetrabromodiphenyl ether (BDE-47) in the mud crab Macrophthalmus japonicus. To do so, we characterized M. japonicus p53 and evaluated basal levels of p53 expression in different tissues. M. japonicus p53 has conserved amino acid residues involving sites for protein dimerization and DNA and zinc binding. In phylogenetic analysis, the homology of the deduced p53 amino acid sequence was not high (67–70%) among crabs, although M. japonicus p53 formed a cluster with one clade with p53 homologs from other crabs. Tissue distribution patterns revealed that the highest expression of p53 mRNA transcripts was in the hepatopancreas of M. japonicus crabs. Exposure to POPs induced antioxidant defenses to modulate oxidative stress through the upregulation of catalase expression. Furthermore, p53 expression was generally upregulated in the hepatopancreas and gills of M. japonicus after exposure to most concentrations of HBCD or BDE-47 for all exposure periods. In hepatopancreas tissue, significant increases in p53 transcript levels were observed as long-lasting apoptotic responses involving cellular defenses until day 7 of relative long-term exposure. The findings in this study suggest that exposure to POPs such as HBCD or BDE-47 may trigger the induction of cellular defense processes against oxidative stress, including DNA repair, cell cycle arrest, and apoptosis through the transcriptional upregulation of p53 expression in M. japonicus.
Corporate Fraud and Accounting Firm Involvement: Evidence from China

In some cases, accounting firms and individual auditors will be punished by the China Securities Regulatory Commission (CSRC) for involvement in the violations of their client companies. Taking the enforcement actions against listed companies and accounting firms of the CSRC from 2006 to 2019 as a research sample, this paper manually sorted out the specific characteristics of corporate fraud and empirically examined the regulatory authorities’ supervision tendency to auditors. The results show that accounting firms are more likely to be involved when their client companies’ fraudulent practices affect financial statements, occur during the IPO process, and continue for a longer period of time. Income statement manipulation and higher fraud amounts also increase the probability of accounting firms being sanctioned. Further analyses show that regulators’ supervision intensity is increasing over time, and they impose penalties on auditors based on the severity of corporate fraud; however, the intensity and differentiation of the sanctions are still insufficient. This study expands relevant research on accounting firm sanctions and provides empirical evidence for further improvement of audit industry supervision in an emerging market.
Development of Elderly Walking Independence Index Model

Abstract In 2026, in ten years from now, Korea is expected to enter into a super aged society. By facing this social phenomenon, analyzing the elderlies and preparing measures are needed among society . In the transportation field, the traffic accidents which are related to the elderly pedestrians have drastically increased so that R&D projects and policy supplementations are introduced. However very few base studies on which focused on the behavior, capability, impact factors analysis of for elderly pedestrians are conducted. To determine the walking capability, this study divided the walking capability into 3 three categories - general, health and exercise. It carries out the comprehensive survey targeting 52 elderlies with the average age of 72.6 years and this survey is made up of total 12 factors in the 3 three categories. This survey also is conducted with various measuring devices and methods such as interview, National Fitness Award, SPBB, Cybex and the like for. From the 12 detailed factors, the general factors such as age, physical shape and so forth have little impact on the walking speed. However the factors that have the greatest impact on the walking speed are extensor muscle on lower limbs in the health factors and balance, coordination, and SPPB in the exercise factors. With these results, this study develops the independent walking model which can measure the walking capability of the elderly people. The developed model is expected to be utilized as the base study for elderly’s walking patterns in the transportation field by examining the walking capability of the older people. 앞으로 10년 뒤인 2026년 우리나라는 초고령화 사회 (super aged society)로 진입할 것으로 예상되며 , 이로 인해 사회 전반적인 모든 분야에서 고령자 분석 및 대책 마련에 심혈을 기울이고 있다 . 교통 분야에서도 고령자의 보행 교통사고가 급격히 증가하고 있는 점을 고려하여 이를 줄이기 위한 연구개발과 정책적 보완을 위한 노력을 기울이고 있다. 그러나 고령자의 보행행태, 보행능력, 보행영향 요인 등의 기초적인 연구가 전무하여 어려움을 겪고 있다 . 이에 본 연구에서는 기존 논문 검토를 통해 보행능력 (보행속도)을 일반, 건강, 운동요인 등 3개 분야로 구분하였다. 평균나이 72.6세의 고령자 52명을 대상으로 면접, 국민체력 100, SPBB, Cybex 등의 다양한 방법과 측정도구를 종합하여 3개 분야 총 12개의 세부 요인에 대한 측정을 시행하였다 . 그 결과 일반요인인 연령, 체격 등은 보행속도에 미치는 영향이 적었으며, 건강요인 중에는 하지 신근, 운동요인 중에는 평형성, 협응성, SPPB가 가장 보행속도에 가장 많은 영향이 있음을 도출하였다. 이를 활용하여 고령자의 보행능력을 측정하는 보행자립도 모형을 개발하였다 . 개발된 모형은 고령자의 보행능력의 진단하여 교통 분야 고령자 보행 연구의 기초자료로 활용될 수 있을 것으로 기대한다 .
Impact of Global Climate Change on the Distribution Range and Niche Dynamics of Eleutherodactylus planirostrish in China

Simple Summary Eleutherodactylus planirostris has a strong dispersal ability, and the main route of introduction to new regions is likely due to transport via seedlings. This species is taken into account as one of the foremost successful invasive amphibian species with direct or indirect negative impacts in multiple regions. In our study, we predict the potential distribution of E. planirostris in China by species distribution models (SDMs) methods. The results show that this species has a much larger suitable habitat area in China than reflected by the current distribution, so the species is likely to spread from the Pearl River Delta to surrounding areas. Under future warming, its invasive range will expand northward in China. Abstract Species distribution models (SDMs) have become indispensable tools in risk assessment and conservation decision-making for invasive species. Eleutherodactylus planirostris has a strong dispersal ability, and the main route of introduction to new regions is likely transport via seedlings. This species is understood as one of the foremost successful invasive amphibian species with direct or indirect negative impacts in multiple regions. In this study, we used MaxEnt to assess suitable areas for this species under current and future climates globally and in China. We considered seven climatic variables, three timepoints (current, 2050, and 2070), and three CO2 emission scenarios. Annual mean temperature, precipitation of the driest month, and annual precipitation were the most important variables predicting E. planirostris occurrence. This species has a much larger suitable habitat area in China than reflected by the current distribution, so the species is likely to spread from the Pearl River Delta to surrounding areas. Under future warming, its invasive range will expand northward in China. In conclusion, this study assessed the risk of invasion of this species and made recommendations for management and prevention.
Flexible adaptive null broadening beamforming based on symmetric non-overlapping subarray

When the adaptive antenna array encounters motion interference, the interference may overflow the null position which leads to a sharp decline in the output performance. At present, most of the solutions are to widen the null to improve the fault-tolerance of interference incidence angle. This will consume more degrees of freedom of the antenna array. For the adaptive antenna array with large number of elements, although it can provide enough degrees of freedom, the computational complexity is very large. To solve the above problems, a flexible adaptive null broadening beamforming based on symmetric non-overlapping subarray is proposed in this paper. The proposed method has three main contributions. The first is to widen the null to suppress the motion interference. Secondly, the proposed method flexibly controls the wide null according to the actual needs to reduce the waste of degrees of freedom. Finally, subarray level adaptive beamforming is used to replace element level adaptive beamforming, so as to reduce the computational complexity of the method. Simulation results verify the high performance and effectiveness of the proposed method.
PPAR-Targeted Therapies in the Treatment of Non-Alcoholic Fatty Liver Disease in Diabetic Patients

Peroxisome proliferator-activated receptors (PPAR), ligand-activated transcription factors of the nuclear hormone receptor superfamily, have been identified as key metabolic regulators in the liver, skeletal muscle, and adipose tissue, among others. As a leading cause of liver disease worldwide, non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) cause a significant burden worldwide and therapeutic strategies are needed. This review provides an overview of the evidence on PPAR-targeted treatment of NAFLD and NASH in individuals with type 2 diabetes mellitus. We considered current evidence from clinical trials and observational studies as well as the impact of treatment on comorbid metabolic conditions such as obesity, dyslipidemia, and cardiovascular disease. Future areas of research, such as possible sexually dimorphic effects of PPAR-targeted therapies, are briefly reviewed.
Living Heart Human Model: Cardiovascular Stent Deployment and Cardiac Cycle Simulation

In patients with coronary heart disease caused by buildup of plaque, stents are used to open arteries and help reduce symptoms such as chest pain (angina) or to help treat a heart attack. Stents are small expandable tubes made of metal mesh that are deployed in narrowed coronary arteries by balloon angioplasty. The durability of a stent is of great importance since damage to a stent can lead to restenosis or an embolism. Stents are meant to be a permanent implant in the artery where it is expected to perform while the anatomy heals.
Laser-Induced Graphene, Fused Filament Fabrication, and Aerosol Jet Printing for Realizing Conductive Elements of UHF RFID Antennas

In this work, three promising Additive Manufacturing (AM)/3D-printing technologies, able to realize conductive elements, are adopted in the realization of antennas. The selected techniques are Fused Filament Fabrication (FFF), Aerosol Jet Printing (AJP), and Laser-Induced Graphene (LIG), which have been compared by measuring the performance of an ultrahigh (UHF) radiofrequency identification (RFID) tag, specifically designed, and realized for the scope. Results have also been analyzed against to data obtained by a reference sample realized in Aluminum. The FFF tag has been manufactured by extruding the Electrifi conductive filament over an ABS printed substrate, used also for the AJP-made antenna. Conversely, the LIG tag has been produced by laser-burning a Kapton polyimide sheet. All the tested technologies, each one with its pros and cons, allowed to realize working prototypes, even if, as expected, with performance lower than the comparison sample. An electroplating process has been also adopted to increase conductivity, with improvements in the FFF prototype. The obtained results are quite satisfactory. Those related to LIG technology do not yet guarantee performance comparable to the other techniques. Nevertheless, the prospect of creating “green” and cost-effective antennas pushes towards further studies, already underway, which include the study of antenna shapes more suitable for the specific technique as well as process optimizations to increase conductivity.
Integrated Network Pharmacology and UPLC/Q-TOF-MS Screen System to Exploring Anti-Inflammatory Active Components and Mechanism of Shunaoxin Pills

Background Chronic cerebral ischemia (CCI) is a pathological condition associated with a variety of cerebrovascular diseases. Shunaoxin pills (SNX) are a traditional Chinese medicine (TCM) used to improve blood circulation. However, its multicomponent and multitarget features make it difficult to decipher the molecular mechanisms. Objective Thus, in this study, we aimed to identify the key anti-inflammatory components of SNX as markers for standardization and quality control and the potential pharmacological mechanisms of SNX in the treatment of CCI by network pharmacology to provide scientific evidence of its clinical efficacy. Methods We evaluated the anti-inflammatory effect of SNX using ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectroscopy (UPLC/Q-TOF-MS) combined with a dual-luciferase reporter assay for nuclear factor kappa B (NF-κB) inhibition to identify the active components in SNX. In addition, key pathways involved in the anti-inflammatory effect of SNX were predicted using a network pharmacology approach, and some crucial proteins and pathways were further validated by Western blotting. Results Shunaoxin pills inhibited NF-κB through tumor necrosis factor-α (TNF-α) stimulation in 293T cells. The therapeutic effect may be related to 10 pathways regulated by ligustilide, ferulic acid, ligustrazine, and senkyunolide I. It was further confirmed that ligustilide could reduce the inflammatory response by inhibiting the phosphorylation of p38 and 3-phosphoinositide-dependent kinase 1 (PDK1). Conclusions Ligustilide, senkyunolide I, ferulic acid, and ligustrazine could be used as anti-inflammatory Q-markers to control the quality of SNX, and p38 and PDK1 might be potential targets of SNX in the treatment of CCI.
Subfilter scale combustion modelling for large eddy simulation of turbulent premixed flames

Subfilter Scale Combustion Modelling for Large Eddy Simulation of Turbulent Premixed Flames Nasim Shahbazian Doctor of Philosophy Graduate Department of Aerospace Science and Engineering University of Toronto 2015 Large eddy simulation (LES) is a powerful computational tool for modelling turbulent combustion processes. However, for reactive flows, LES is still under significant development. In particular, for turbulent premixed flames, a considerable complication of LES is that the flame thickness is generally much smaller than the LES filter width such that the flame front and chemical reactions cannot be resolved on the grid. Accurate and robust subfilter-scale (SFS) models of the unresolved turbulence-chemistry interactions are therefore required and studies are needed to evaluate and improve them. In this thesis, a detailed comparison and evaluation of five different SFS models for turbulencechemistry interactions in LES of premixed flames is presented. These approaches include both flameletand non-flamelet-based models, coupled with simple or tabulated chemistry. The modelling approaches considered herein are: algebraicand transport-equation variants of the flame surface density (FSD) model, the presumed conditional moment (PCM) with flame prolongation of intrinsic low-dimensional manifold (FPI) tabulated chemistry, or PCM-FPI approach, evaluated with two different presumed probability density function (PDF) models; and conditional source-term estimation (CSE) approach. The predicted LES solutions are compared to the existing laboratory-scale experimental observation of Bunsen-type turbulent premixed methane-air flames, corresponding to lean and stoichiometric conditions lying from the upper limit of the flamelet regime to well within the thin reaction zones regime of the standard regimes diagram. Direct comparison of different SFS approaches allows investigation of stability and performance
Application of Wearable Sensors in the Treatment of Cervical Spondylosis Radiculopathy with Acupuncture

Research shows that cervical spondylosis radiculopathy (CSR) is the most common type of cervical spondylosis in clinic, and Chinese medicine treatment has obvious advantages, among which acupuncture therapy has received increasing attention. CSR has the characteristics of high incidence, long treatment time, and easy recurrence after treatment. In order to meet the different needs of different patients, this paper uses wearable sensors to collect patient dynamic data, extracts the action features of cervical spondylosis to design a scoring system, analyzes the input feature scores through a convolutional neural network (CNN) model, and then outputs personalized acupuncture treatment plan. The development status of wearable sensors at home and abroad is introduced, and the modules and functions of the wearable sensors are designed. The CNN network is used as the network model for classification and recognition. The experimental results show that the CNN model used in this paper has a high classification accuracy, achieving an accuracy of up to 97%, and can help produce an effective treatment plan. In order to determine whether the treatment plan output by the model is effective, each group of data is handed over to two cervical spondylosis experts for scoring, and then the final treatment plan is determined from 10 acupuncture plans. In our experiments, 9 out of 10 plans generated by the CNN model were the same as generated by the experts, which shows the effectiveness of the model.
“We’re Still Struggling a Bit to Actually Figure Out What That Means for Government”: An Exploration of the Policy Capacity Required to Oversee Robot Technologies in Australia and New Zealand Care Services

Many countries are experiencing a “care crisis” driven by increasing demand for care services alongside difficulties in recruiting and retaining an appropriate care workforce. One of the solutions offered to this is the use of robotic technologies. While there are several positives produced by robots, they are not without challenges and have the potential to be misused. History shows disruptive technologies require appropriate policy capacity for these to be effectively stewarded so that we can secure the positive gains of these without encountering potential harms. In this paper, we explore the types of policy capacity needed to oversee robotic technologies. Drawing on interviews with 35 key stakeholders involved with the implementation of robots in Australian and New Zealand care services, we identify the capabilities required at the individual, organisational, and systemic levels across the analytical, operational, and political domains. We found the respondents perceived a lack of policy capacity to oversee robotics in the government. However, these gaps are less in respect to technological skills and abilities and more in respect to the system’s impacts and effects of these technologies. We conclude by outlining a summary of the capabilities required to oversee robots in complex care systems.
Utilization of Drivetime – Performing Non-Driving Related Tasks While Driving Highly Automated

To utilize drivetime by engaging in non-driving related (secondary) tasks while driving highly automated is very likely to occur as soon as Level 3 (see NHTSA, 2013) automated vehicles enter the market. For this reason, it has to be investigated in advance whether different tasks are impeding drivers’ capabilities of regaining control in take-over situations and thereby compromising safety. For this purpose, studies regarding take-over in highly automated vehicles were reviewed and an experiment in a high fidelity driving simulator involving 24 participants was conducted, comparing four different types of non-driving related tasks. Results show differences in the dependent variables, dependent on criticality and complexity of the situation. Compared to drivers with visual and motoric tasks, take-over performance of drivers with a cognitive task was superior in well-practiced and noncomplex situations. Although the take-over situations of this study were well practiced and complexity and time criticality of the take-over situations were rather low, drivers reacted faster in manual mode than under the presence of the automated system. Furthermore, the participants reported engaging in those tasks as being rather dangerous and impeding their take-over performance and capability of reaction.