Miracle-dz/UniFAR-FTUs huggingface dataset:
Robotically reproducing turntable techniques

The goal of this work is to simulate the techniques of a scratch DJ (turntablist) by designing and building a mechanism to manipulate a record and by creating software to intelligently command the mechanism. The long term goal of the project is to create a completely autonomous system that will be able to compose and perform scratch routines comparable to those of the best human DJ's. The metric of success for the work performed for this thesis will be its ability to simulate human attributes. This thesis will discuss the construction of a mechanical system that will manipulate records in ways similar to those of a human scratch DJ, the integration of hardware and software to accurately control the mechanical system, and the design and implementation of software to record the motions of a human scratching a record, to play a tune on a record of a constant note by varying the playback speed, to pick beats out of a piece of previously recorded music, and to integrate these into a performance interface. Many scratch DJ's use volume controls to enhance their musical compositions. This technique is not in the scope of this project. Additionally, DJ's switch records during the course of a performance, but this project will not include such functionality. Furthermore, the mechanical component of the project is built around the industry standard Technics SL-1200 M3D model turntable. Other turntable models are not supported by this project. Thesis Supervisor: Chris Csikszentmihalyi Title: Associate Professor, MIT Media Lab
Adaptive passivity-based control of PEM fuel cell/battery hybrid power source

In this paper, a DC hybrid power source composed of PEM fuel cell as main source, Li-ion battery storage as transient power source and their power electronic interfacing is modelled based on Euler-Lagrange framework. Subsequently, Adaptive Passivity Based Controllers are synthesized using the energy shaping and damping injection techniques. In addition, the power management system is designed in order to manage power flow between components. The results show that the outputs of hybrid system have good tracking response, low overshoot, short settling time and zero steady-state error.
An accurate soft diagnosis method of breast cancer using the operative fusion of derived features and classification approaches

Breast cancer is one of the most common types of cancer around the world. The early‐stage recognition of breast cancer is favourable for the diagnosis and treatment of the affecting patient. Data mining approaches can ease the diagnosis of breast cancer by analysis of the associated dataset for real‐time decision‐making. The present study proposes an effective transformation approach of experimental attributes of a breast cancer dataset using the latent semantic analysis and the fusion of derived features with classification methods for accurate recognition of breast cancer. The proposed approach is validated using the most widely used benchmark and open‐access breast cancer dataset. The transformed features of the original dataset result in 100% recognition efficiency using a multilayer perceptron, support vector machine, multi‐class classifier and functional tree classifiers. Other classifiers, like naïve Bayes, rotation forest, simple linear logistic regression and logistic model tree result in recognition accuracy between 96.85% and 99.30% using a similar feature subset. Besides, the optimal subset of derived features has been affirmed based on the evaluation metrics of classification approaches.
Interaction between innovation choice and market-entry timing in a competitive fashion supply chain

We consider a duopoly in which a premium firm (Firm 1) competes with a regular firm (Firm 2). They launch a new fashion product, adopting one of two types of innovation, qualitative or non-qualitative, which offer different levels of market acceptance and uncertainty. We consider two groups of fashion consumers, snobs and conformists (defined by preference for exclusivity or conformity). We first examine the case in which the premium firm commits to entering the market first and chooses its type of innovation, and then the regular firm decides on market-entry timing and innovation type. The price game and the strategy interaction between the two firms are examined. We show that consumers' exclusivity and conformity positively impact the optimal decisions of the two firms when the initial market share of snobs is large. When the market-share loss due to late entry is sufficiently high, Firm 1 may prefer a non-qualitative innovation under certain identified conditions; otherwise, it always prefers a qualitative innovation. Firm 2 always benefits from Firm 1's choice of qualitative rather than non-qualitative innovation. We further discuss the strategy interaction when the premium firm commits to entering the market late.
MAE-CAD: An IP-Based Core Network Asset Discovery Technology Based on Multiple Autoencoders

With the continuous development of the network, the number of network assets continues to increase. Despite the convenience diversified network assets bring, it also poses new challenges to IP-based network asset management. Traditional asset discovery technologies mainly analyze network traffic, and detect relevant information (operating system, running software, etc.) of IP-based assets through methods such as active discovery, passive discovery, and discovery methods based on cyberspace search engines. These methods assign the same weight to all network IP-based network assets, and it is difficult to effectively analyze diversified network assets. In this paper, we propose the concept of IP-based core network assets, and collect the data of the relevant network assets based on this concept. Then, we construct a dataset and establish feature engineering for data preprocessing. As there is currently no relevant IP-based core network asset detection method, we propose an IP-based core network asset discovery technology based on pretraining of multiple autoencoders, MAE-CAD. The results show that our method can achieve 95.74% in Acc and 95.04% in F1 in the experimental environment (Acc = 98.11% and F1 = 97.16% in the actual network environment because of duplicate samples). In addition, MAE-CAD has excellent robustness. In an environment where the proportion of data is extremely unbalanced, when the IP-based core network asset data in the training set only accounts for 1/200 (0.5%), MAE-CAD can still obtain 92.91% in Acc and 91.57% in F1.
Research on Dynamic Performance of CRTSⅢ Type Slab Ballastless Track under Long-Term Service

To fill the blank in the research on the dynamic performance of track structure under long-term service, the dynamic response study of China Railway Track System Ⅲ type slab ballastless track (CRTSIII SBT) under the action of fatigue for 30 million times and the parting between track slab and self-compacting concrete (SCC) was carried out. By establishing the finite element model of the CRTSIII SBT structure and taking the stiffness change of isolation layer and fastener under fatigue state and the parting during service as the research objects, combined with the full-scale model test, the dynamic response amplitude and vibration law of track structure was analyzed based on the finite element model of axle falling test method. The results show the following: (1) Under the fatigue load, the acceleration of rail and base increases obviously, the longitudinal tensile stress of SCC surface decreases, the longitudinal tensile stress of base surface increases, and the vertical stress of each layer of track structure increases as well. (2) Under the action of the parting, the dynamic response of each structural layer increases, and the change of acceleration and stress of each layer under the action point of axle falling is the most obvious. (3) The fatigue load will weaken the vibration damping performance of the track, and the parting will continue to develop under the action of the falling axle, resulting in partial or total failure of the SCC layer. Both of them will aggravate the dynamic response of the track structure and affect driving safety, which should be paid attention to during maintenance.
Exploiting Radiation Induction of Antigens in Cancer: Targeted Drug Delivery

Therapeutic antibodies used to treat cancer are effective in patients with advanced-stage disease. For example, antibodies that activate T-lymphocytes improve survival in many cancer subtypes. In addition, antibody–drug conjugates effectively target cytotoxic agents that are specific to cancer. This review discusses radiation-inducible antigens, which are stress-regulated proteins that are over-expressed in cancer. These inducible cell surface proteins become accessible to antibody binding during the cellular response to genotoxic stress. The lead antigens are induced in all histologic subtypes and nearly all advanced-stage cancers, but show little to no expression in normal tissues. Inducible antigens are exploited by using therapeutic antibodies that bind specifically to these stress-regulated proteins. Antibodies that bind to the inducible antigens GRP78 and TIP1 enhance the efficacy of radiotherapy in preclinical cancer models. The conjugation of cytotoxic drugs to the antibodies further improves cancer response. This review focuses on the use of radiotherapy to control the cancer-specific binding of therapeutic antibodies and antibody–drug conjugates.
Fast Detection of Transient Emission from Diesel Engine Using Optical and Differential Mobility Spectrometer Method

Abstract The article describes and compares the sensitivity and dynamics of two fast measurement techniques for transient particulate matter (PM) emission from diesel engine. The laser induced incandescence was used as a laser based method, together with differential mobility spectrometer for rapid soot characterization. The main task is to reveal the most accurate and fast device for transient emissions. The obtained results will allow better understanding of PM formation and support dynamic emission modelling as well as control design of combustion process. Zusammenfassung Zwei Verfahren zur schnellen Messung der Rußpartikelemission von Dieselmotoren werden beschrieben und bezüglich Empfindlichkeit und Dynamik vergleichen. Laserinduziertes Verglühen und differentielle Mobilitätsspektrometrie wurden zur schnellen Rußbestimmung benutzt. Hauptziel waren Genauigkeit und Schnelligkeit des transienten Prozesses. Die Ergebnisse erlauben ein besseres Verständnis der Rußpartikelentstehung und Unterstützung dynamiocher Emissionsmodelle.
The Role of Neuropathy Screening Tools in Patients Affected by Fibromyalgia

Fibromyalgia syndrome (sFM) is one of the most common causes of chronic pain. This study aimed to assess the presence of small and large fiber impairment in fibromyalgic patients by applying validated scores used in the screening for diabetic neuropathy. The endpoints for the study were the assessment of neuropathy prevalence in sFM patients using the NerveCheck Master (NCM), the Michigan Neuropathy Screening Instrument (MNSI), the Diabetic Neuropathy Symptom (DNS) and the Douleur Neuropathique 4 Questions (DN4). The sample was composed of 46 subjects: subjects with sFM (n = 23) and healthy controls (HC) (n = 23). The positivity rates in each group for DN4 were significantly different (p < 0.001), with a prevalence in symptomatic subjects of 56.3% (n = 9) among sFM individuals. A similar difference was also observed with the DNS total score (p < 0.001). NCM and MNSI did not disclose significant differences between the two groups. This finding seems to confirm the data regarding the prevalence of a neuropathic pain in sFM patients.
A Simplified Method for Short Circuit Calculations in LV Radial Networks

This paper develops a simplified approach for the calculation of three phase short circuit current in radial low voltage LV networks. This method is based on data available at design stage, such as, voltage drop in cables and maximum design currents. It is an effective method for construction engineers in the field of electrical installation for checking the dimensions of switchgears and other equipmement to withstand the thermal and dynamic effects of short circuits in site conditions.
Cut-off points for low skeletal muscle mass in older adults: Colombia versus other populations

Background: The European Working Group on Sarcopenia in the Elderly defined sarcopenia as a geriatric syndrome with a diagnostic criteria of low skeletal muscle mass (LMM). Various sarcopenia consensuses recommend as cut-offs for LMM, the use of below 2 SDs from the mean skeletal muscle mass index (SMI) of a young reference group. Given the contrast between reported cut-offs, the objective of this study was to establish cut-offs for LMM from older adults in Manizales and compare them with those published in the literature. Methods: This was a prospective, cross-sectional analytical study in 237 healthy elderly patients from the city of Manizales, Colombia. Anthropometric measurements of weight, height and body mass index were estimated. The SMI was estimated with the Xitron Technologies bioimpedance meter using the Janssen formula. For the comparison of SMI cut-offs, studies that evaluated this parameter with bioelectrical impedance analysis (BIA) were taken into account, in addition to being obtained from the −2 SD from the sex-specific mean of a young reference group. Results: The cut-off points for SMI were 8.0 kg/m 2 for men and 6.1 kg/m 2 for women. There was a statistically significant difference when evaluating LMM from the cut-offs of the present study and those reported in Spain, Turkey, and Finland. The cut-off points of SMI derived from this sample of Colombian men and women may be adequate for the diagnosis in the Colombian geriatric population. However, we did not find significant differences when comparing the cut-offs for SMI from a population of older adults and young adults from the same city. Conclusions: The cut-off points of SMI by BIA derived from a sample of Colombian men and women may be adequate for the diagnosis of LMM in the Colombian geriatric population or populations with similar characteristics to those of the sample evaluated here.
Hidden attractors in a practical Chua's circuit based on a modified Chua's diode

Hidden attractors were reported to find in a normalised Chua's equation. To find the hidden attractors in a practical Chua's circuit, a modified Chua's diode is presented and its equivalent realisation circuit is designed. On the basis of proposed modified Chua's diode, a new Chua's circuit is rebuilt and hidden attractors under special initial conditions are captured by numerical simulations and circuit simulations.
Counter-urbanisation in pre-pandemic times: disentangling the influences of amenity and disamenity

ABSTRACT The COVID-19 pandemic has stimulated a resurgence in counter-urbanisation in Australia with ex-urban populations leaving behind the perceived disamenity of city life for simpler, cheaper and lockdown-free lives. This article investigates the drivers of in-migration and net migration into non-metropolitan New South Wales from the metropolitan zone between 2011 and 2016, focusing on the potential draw of rural amenity, together with the potential ‘push’ factors of urban disamenity. The results show that non-metropolitan NSW is becoming less dependent on counter-urbanisation flows from Sydney, while simultaneously seeing stronger net migration gains from interchanges with the broad metropolitan zone. Hypothesis testing upheld the contention that rural amenity accounted for a statistically significant share of the variance in in-migration - and net migration - from Sydney. However, the hypothesis that Sydney’s perceived disamenity is leading to out-migration flows and net migration losses was not well supported, confounded by mis-specification issues. High population densities are associated with out-migration from the Sydney region to all categories of settlement within the remainder of NSW and Australia. However, changes in density are only a strong and reliable influence on net migration within the broad Sydney metropolitan area but the direction of that influence is positive rather than negative. The article reveals that the proportion of immigrants within a metropolitan local government area population is negatively associated with out-migration.
A Robust, Fully Automatic Detection Method and Calculation Technique of Midline Shift in Intracranial Hemorrhage and Its Clinical Application

A midline shift (MLS) is an important clinical indicator for intracranial hemorrhage. In this study, we proposed a robust, fully automatic neural network-based model for the detection of MLS and compared it with MLSs drawn by clinicians; we also evaluated the clinical applications of the fully automatic model. We recruited 300 consecutive non-contrast CT scans consisting of 7269 slices in this study. Six different types of hemorrhage were included. The automatic detection of MLS was based on modified Keypoint R-CNN with keypoint detection followed by training on the ResNet-FPN-50 backbone. The results were further compared with manually drawn outcomes and manually defined keypoint calculations. Clinical parameters, including Glasgow coma scale (GCS), Glasgow outcome scale (GOS), and 30-day mortality, were also analyzed. The mean absolute error for the automatic detection of an MLS was 0.936 mm compared with the ground truth. The interclass correlation was 0.9899 between the automatic method and MLS drawn by different clinicians. There was high sensitivity and specificity in the detection of MLS at 2 mm (91.7%, 80%) and 5 mm (87.5%, 96.7%) and MLSs greater than 10 mm (85.7%, 97.7%). MLS showed a significant association with initial poor GCS and GCS on day 7 and was inversely correlated with poor 30-day GOS (p < 0.001). In conclusion, automatic detection and calculation of MLS can provide an accurate, robust method for MLS measurement that is clinically comparable to the manually drawn method.
Picornavirus May Be Linked to Parkinson’s Disease through Viral Antigen in Dopamine-Containing Neurons of Substantia Nigra

Parkinson’s disease (PD) is a neurodegenerative disease linked with the loss of dopaminergic neurons in the brain region called substantia nigra and caused by unknown pathogenic mechanisms. Two currently recognized prominent features of PD are an inflammatory response manifested by glial reaction and T-cell infiltration, as well as the presence of various toxic mediators derived from activated glial cells. PD or parkinsonism has been described after infection with several different viruses and it has therefore been hypothesized that a viral infection might play a role in the pathogenesis of the disease. We investigated formalin-fixed post-mortem brain tissue from 9 patients with Parkinson’s disease and 11 controls for the presence of Ljungan virus (LV) antigen using a polyclonal antibody against the capsid protein of this recently identified picornavirus with neurotropic properties, suspected of being both a human and an animal pathogen. Evidence of viral antigen was found in 7 out of 9 Parkinson’s disease cases and in only 1 out of 11 controls (p = 0.005). The picornavirus antigen was present in dopamine-containing neurons of the substantia nigra. We propose that LV or an LV-related virus initiates the pathological process underlying sporadic PD. LV-related picornavirus antigen has also been reported in patients with Alzheimer’s disease. Potentially successful antiviral treatment in Alzheimer’s disease suggests a similar treatment for Parkinson's disease. Amantadine, originally developed as an antiviral drug against influenza infection, has also been used for symptomatic treatment of patients with PD for more than 50 years and is still commonly used by neurologists today. The fact that amantadine also has an antiviral effect on picornaviruses opens the question of this drug being re-evaluated as potential PD therapy in combination with other antiviral compounds directed against picornaviruses.
What Causes Differences in PM2.5 Concentration in China? Structures are more Important

This paper studies the effects of factors such as economic growth, industrial structure and governance on the differences in PM2.5 concentration among groups by using Oaxaca-Blinder (OB) decomposition and Recentered Influence Function (RIF) regressions. Specifically, we first explore the differences in PM2.5 concentration among cities and find that structure effects attributable to differences in returns to these factors contribute more to total difference in PM2.5 concentration than composition effects caused by differences in the means of these factors. Moreover, the offsetting effects of positive composition and negative structure effects drag the time trend of PM2.5 concentration downward. Besides, the negative impact of GDP per capita on PM2.5 concentration implies the existence of an inverted U-shaped environmental Kuznets curve (EKC) between PM2.5 concentration and GDP per capita. In sum, we find that the differences in returns to factors or structures of cities are the main causes of differences in PM2.5 concentration among cities in China compared to the differences in the means of factors.
Large Displacements and the Stiffness of a Flexible Shell

The design of static thin shell structures can be carried out using analytical and numerical approaches. Recently, thin shells have been studied for their flexibility, which can be beneficial for adaptive systems. However flexible systems involve large displacements and precise kinematics. The analysis of flexible shell systems is challenging due to the nonlinearities induced by these large displacements. This study addresses the nonlinear behaviour and stress-stiffening effects caused by large displacements in a 0.80 m-long carbon fibre reinforced plastic shell consisting of two monolithically connected lobes. The structural behaviour of this system is investigated both numerically and experimentally. Following the analysis framework, the non-linear effects of the large displacements on the shell stiffness are numerically determined using eigenvalue analysis and the displacement response to external loading on deformed shell configurations. The numerical displacement results are compared with results obtained in the experimental study. In conclusion, our study shows that the stiffness of the shell system under study increases 113% during deformation. More precisely, we establish that this change in stiffness is governed by the presence of tensile stresses in the shell surface due to deployment rather than by the change of the system's geometry.
From Vulnerability to Empowerment: Critical Reflections on Canada’s Engagement with Refugee Policy

The making and implementation of global policy are prominent areas of activity for the global refugee regime, with a specific focus on policy relating to the categories of vulnerable refugees. Recent collective efforts globally have highlighted the importance of meaningfully including refugees themselves; and a discursive shift away from the language of vulnerability towards that of empowerment in policy making, and humanitarian assistance. Despite this, efforts to implement these commitments have largely been unsuccessful, raising questions about how refugees are engaged in these processes, and in what ways the label of vulnerable continues to influence the making and implementation of global refugee policy. Using the case of Canada’s engagement with the global refugee regime, and with refugee women in particular, this article argues that the continued framing of refugee women as vulnerable has impeded progress, and that for transformative policy to be realized, refugee women must be seen as actors with capacity to participate, and must be included in all processes of policy making, implementation and evaluation. A feminist geopolitical framework is presented as a way to decenter states and institutions in favor of centering the individual embodied experiences of refugee women in global refugee policy making. By doing so, empowerment can be realized in policy and practice.