Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Electric Vehicle Motor Drive and Control System Based on PMSM

Permanent magnet synchronous motor (PMSM) is widely used in electric vehicle power systems due to their high torque inertia ratio and high power density. However, the strong coupling of winding phase current and torque affects their control accuracy. In this paper, the drive and control of PMSM were studied according to the characteristics of electric vehicle operating conditions. Based on the traditional motor vector control, the control strategy of PMSM was analyzed in detail, and a permanent magnet synchronous motor drive and control system for electric vehicle was designed. The system uses the STM32F407VET6 chip as the controller and six power field effect transistors as the inverter driver, the precise control of the PMSM was realized. This research can provide reference for the design and analysis of the PMSM drive and control system for electric vehicles.
Berengario da Carpi and the Renaissance of Brain Anatomy

Berengario da Carpi (Jacopo Barigazzi) was born around 1460 in the small Italian town of Carpi near Modena. Berengario’s father, Faustino, was a reputable barber-surgeon who initiated his son early into the art of anatomy and surgery. After his graduation from the University of Bologna in 1489, Berengario rapidly acquired an enviable reputation as a physician and surgeon following the successful treatment of several dignitaries, including Lorenzo de’ Medici, Duke of Urbino who suffered a severe head injury in 1517. While professor of anatomy and surgery at the University of Bologna, Berengario published in 1518 his De fractura cranei, a landmark work on cranio-cerebral surgery. Berengario’s masterpiece, however, is undoubtedly his detailed Commentaria on the famous medieval anatomy treatise of Mondino de’ Liuzzi (ca. 1270–1326) that he published in 1521. A shorter version entitled Isagogae Breves appeared a year later. Besides a facsimile of Mondino’s work, Berengario’s Commentaria contains a wealth of new information, including observations that challenged Galenic physiology. Galen taught that the rete mirabile—a vascular plexus believed to occur at the basis of the human brain—is the locus where the vital spirit is transformed into the more sophisticated animal spirit that is stored in the brain ventricles to be later released at the periphery through a journey within hollow nerves. Courageously, Berengario wrote that despite many attempts he was unable to detect the famous rete mirabile in humans. He also noted that the nerves linked to the brain are solid structures, not hollow tubes, as advocated by Galen. His conclusions were based on a systematic dissection method that he called anatomia sensibilis, a term that emphasizes the sensory over textual versions of the truth. Berengario contributed significantly to human brain anatomy, with a detailed description of the meninges and cranial nerves and the first comprehensive view of the ventricular system, including choroid plexuses, interventricular foramen, infundibulum, pituitary stalk and gland. Berengario, who died around 1530 in Ferrara, should be remembered for his catalyzing role in the transmutation of medieval morphological knowledge into a modern anatomical science based upon direct observation and experimental demonstration.
Trends in Subjective Quality of Life Among Patients With First Episode Psychosis—A 1 Year Longitudinal Study

Quality of life (QoL) is often used as an outcome assessment in programs treating patients with first-episode psychosis (FEP). The aim of this study was to examine the longitudinal trend of subjective QoL among patients with FEP and identify the potential influence of patients' social-demographic/lifestyle factors on the trend of QoL. Two hundred and eighty subjects participated in the study. Patient's demographics and subjective QoL were collected at baseline, 6 months and 1 year follow-up. Data were analyzed with a fixed-effect general linear regression model. Subjective QoL demonstrated significant trends of improvement in all four subdomains (physical health, psychological health, social relationships, and environment). Compared with unemployed participants, employed participants were significantly associated with better social relationships (p = 0.005) and environment (p = 0.029) after adjusting for age and gender. Moderation analysis demonstrated a significant improvement of physical health, social relationships, and environment for participants with a higher level of educational achievement, but not for participants with a lower level of educational achievement. Our results indicate that patients with FEP experienced significant improvement in subjective QoL over a 1 year period. Being employed was associated with overall better social relationships and environment among patients with FEP and higher educational achievement was associated with improvement of physical health, social relationship, and environment. Hence, educational achievement and employment could be considered for future optimization of early psychosis intervention programs.
Immediate Feedback Improves Career Decision Self-Efficacy and Aspirational Alignment

Misalignment between career and education aspirations has been associated with poorer achievement during adolescence and unstable employment in adulthood. In this study, we evaluated whether a brief in-school intervention improved career decision self-efficacy and aspirational alignment. We sampled 211 teenagers living in disadvantaged areas of Western Sydney, Australia using a quasi-experimental non-equivalent groups design. Students completed pre- and post-questionnaires which measured aspirational alignment and career decision self-efficacy. Students in the intervention condition (n = 102) received automated feedback on the alignment of their career and education aspirations, as well as a career information pamphlet detailing the educational pathways to a range of popular careers. Students in the control condition completed both questionnaires but only received feedback and the pamphlet at the end of the study. The intervention improved alignment of career and education aspirations, as well as increased some dimensions of career decision self-efficacy. Students in the intervention group more frequently identified the correct qualification for their career aspiration in the post-questionnaire (57.9%) compared with the pre-questionnaire (48.1%). Students with misaligned aspirations in the intervention group reported higher self-efficacy for gathering occupational information and selecting goals following the intervention. There were no pre-post differences for students in the control condition. The practical significance of this study is that an easy, low-cost intervention can improve aspirational alignment between career and education aspirations, as well as aspects of career decision self-efficacy.
Early Somatosensory Processing Over Time in Individuals at Risk to Develop Psychosis

Objective: Somatosensory evoked potentials (SEPs) enable the investigation of thalamocortical and early cortical processing. Previous studies reported alterations of SEPs in patients with schizophrenia as well as in individuals in the prodromal stage. Moreover, cannabis use as an environmental risk factor for the development of schizophrenia has been demonstrated to influence SEP parameters in individuals at risk to develop psychosis. The aim of this study was to explore the course of SEP changes and the impact of concomitant cannabis use in individuals at risk to develop psychosis who sought medical help. Methods: Median nerve SEPs including high-frequency oscillations (HFOs) superimposed on the primary cortical response (N20) were investigated using multichannel EEG in individuals (n = 54 at baseline) remaining at risk to develop psychosis at follow-up after 1 year (high-risk: n = 19; ultra-high-risk: n = 27) vs. subjects with conversion to psychosis (n = 8) and a healthy control group (n = 35). Longitudinal and cross-sectional analyses of SEP components as estimated by dipole source analysis were performed. Results: The longitudinal development of the N20 strength depended on cannabis use. In cannabis non-users, a greater decrease of N20 strengths over time was associated with more negative symptoms at baseline. At baseline, converters did not differ from subjects remaining at risk. At follow-up, converters showed increased low- and high-frequency activity than at-risk subjects and did not differ from controls. Conclusion: The results of this study lead to the suggestion that the deficits in early somatosensory processing in individuals at risk to develop psychosis may not represent a marker for a genetic risk for psychosis but rather reflect state-dependent factors such as negative symptoms. On the other hand, the transition to psychosis seems to represent an interstage between reduced sensory registration from the at-risk state and gating deficits in the chronic state.
"Deep reinforcement learning for search, recommendation, and online advertising: a survey" by Xiangyu Zhao, Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator

Search, recommendation, and online advertising are the three most important information-providing mechanisms on the web. These information seeking techniques, satisfying users' information needs by suggesting users personalized objects (information or services) at the appropriate time and place, play a crucial role in mitigating the information overload problem. With recent great advances in deep reinforcement learning (DRL), there have been increasing interests in developing DRL based information seeking techniques. These DRL based techniques have two key advantages - (1) they are able to continuously update information seeking strategies according to users' real-time feedback, and (2) they can maximize the expected cumulative long-term reward from users where reward has different definitions according to information seeking applications such as click-through rate, revenue, user satisfaction and engagement. In this paper, we give an overview of deep reinforcement learning for search, recommendation, and online advertising from methodologies to applications, review representative algorithms, and discuss some appealing research directions.
Scaling Up Anomaly Detection Using In-DRAM Working Set of Active Flows Table

In the zettabyte era, per-flow measurement becomes more challenging owing to the growth of both traffic volumes and the number of flows. Also, swiftness of detection of anomalies (e.g., DDoS attack, congestion, link failure, and so on) becomes paramount. For fast and accurate anomaly detection, managing an accurate working set of active flows (WSAF) from massive volumes of packet influxes at line rates is a key challenge. WSAF is usually located in a very fast but expensive memory, such as TCAM or SRAM, and thus the number of entries to be stored is quite limited. To cope with the scalability issue of WSAF, we propose to use In-DRAM WSAF with scales, and put a compact data structure called FlowRegulator in front of WSAF to compensate for DRAM's slow access time by substantially reducing massive influxes to WSAF without compromising measurement accuracy. We prototype and evaluated our system in a large scale real-world experiment (connected to monitoring port of our campus main gateway router for 113 hours, and capturing 122.3 million flows). As one key application, FlowRegulator detected heavy hitters with 99.8% accuracy.
Achieving Trust-Based and Privacy-Preserving Customer Selection in Ubiquitous Computing

The recent proliferation of smart devices has given rise to ubiquitous computing, an emerging computing paradigm which allows anytime & anywhere computing possible. In such a ubiquitous computing environment, customers release different computing or sensing tasks, and people, also known as data processors, participate in these tasks and get paid for providing their idle computing and communication resources. Thus, how to select an appropriate and reliable customer while not disclosing processors' privacy has become an interesting problem. In this article, we present a trust-based and privacy-preserving customer selection scheme in ubiquitous computing, called TPCS, to enable potential processors select the customers with good reputation. The basic concept of TPCS is that each data processor holds a trust value, and the reputation score of the customer is calculated based on processors' trust values and feedbacks via a truth discovery process. To preserve processors' privacy, pseudonyms and Paillier cryptosystem are applied to conceal each processor's real identity. In addition, three authentication protocols are designed to ensure that only the valid data processors (i.e., the processors registering in the system, holding the truthful trust values, and joining the computing tasks) can pass the authentication. A comprehensive security analysis is conducted to prove that our proposed TPCS scheme is secure and can defend against several sophisticated attacks. Moreover, extensive simulations are conducted to demonstrate the correctness and effectiveness of the proposed scheme.
Multi-Tier Caching Analysis in CDN-Based Over-the-Top Video Streaming Systems

Internet video traffic has been rapidly increasing and is further expected to increase with the emerging 5G applications, such as higher definition videos, the IoT, and augmented/virtual reality applications. As end users consume video in massive amounts and in an increasing number of ways, the content distribution network (CDN) should be efficiently managed to improve the system efficiency. The streaming service can include multiple caching tiers, at the distributed servers and the edge routers, and efficient content management at these locations affects the quality of experience (QoE) of the end users. In this paper, we propose a model for video streaming systems, typically composed of a centralized origin server, several CDN sites, and edge-caches located closer to the end user. We comprehensively consider different systems design factors, including the limited caching space at the CDN sites, allocation of CDN for a video request, choice of different ports (or paths) from the CDN and the central storage, bandwidth allocation, the edge-cache capacity, and the caching policy. We focus on minimizing a performance metric, stall duration tail probability (SDTP), and present a novel and efficient algorithm accounting for the multiple design flexibilities. The theoretical bounds with respect to the SDTP metric are also analyzed and presented. The implementation of a virtualized cloud system managed by Openstack demonstrates that the proposed algorithms can significantly improve the SDTP metric compared with the baseline strategies.
Probabilistic Contraction Analysis of Iterated Random Operators

Consider a contraction operator $T$ over a complete metric space $\mathcal X$ with the fixed point $x^\star$. In many computational applications, it is difficult to compute $T(x)$; therefore, one replaces the application contraction operator $T$ at iteration $k$ by a random operator $\hat T^n_k$ using $n$ independent and identically distributed samples of a random variable. Consider the Markov chain $(\hat X^n_k)_{k\in\mathbb{N}}$, which is generated by $\hat X^n_{k+1} = \hat T^n_k(\hat X^n_k)$. In this paper, we identify some sufficient conditions under which (i) the distribution of $\hat X^n_k$ converges to a Dirac mass over $x^\star$ as $k$ and $n$ go to infinity, and (ii) the probability that $\hat X^n_k$ is far from $x^\star$ as $k$ goes to infinity can be made arbitrarily small by an appropriate choice of $n$. We also derive an upper bound on the probability that $\hat X^n_k$ is far from $x^\star$ as $k\rightarrow \infty$. We apply the result to study the convergence in probability of iterates generated by empirical value iteration algorithms for discounted and average cost Markov decision problems.
A Painless Thoracic Aortic Dissection

Thoracic aortic dissection (TAD) has a very high mortality rate and is often missed due to the atypical presentation of patients. We present a case of a man with chronic hypertension, atrial fibrillation (AF) (on regular warfarin) and a previous endovascular aneurysm repair (EVAR), who presented with dyspepsia and was incidentally found to have a ruptured distal thoracic aneurysm on imaging with no obvious clinical signs on examination, nor abnormalities on admission chest x-ray (CXR). LEARNING POINTS Typical symptoms and signs of thoracic aortic dissection (TAD), such as sudden onset of tearing pain and difference in blood pressure, can be absent in patients. Clinicians should consider imaging of the aorta in high-risk patients who present with syncope, focal neurology and/or atypical chest, back or abdominal pain. There may be a role for D-dimer in the future to rule out the possibility of TAD, similar to pulmonary embolism (PE).
Acute Anaemia: A Challenging Diagnosis

Acute anaemia is characterized by a reduction in the number of red blood cells, haemoglobin levels or haematocrit. By far the most common aetiology is haemorrhage, but in its absence other less frequent causes should be considered. The authors present the case of a 42-year-old man with a diagnosis of glucose-6-phosphate deficiency and progressing gastric signet ring cell carcinoma, who was admitted to the internal medicine department for symptomatic back pain control. During his hospitalization, the patient developed acute anaemia with schistocytes on peripheral blood smear with no concurrent hyperbilirubinaemia or decreased haptoglobin. Bone metastatic disease was documented. The case was revised with the transfusion medicine department and malignancy-associated microangiopathic haemolytic anaemia (Ma-MAHA) was suggested. The patient was transferred to the oncology department and later discharged, dying at home shortly afterwards. LEARNING POINTS The possibility of multiple aetiologies for anaemia in the same patient should be considered. Pathophysiological mechanisms are important in the differential diagnosis of anaemia. Malignancy-associated microangiopathic haemolytic anaemia can present as a paraneoplastic syndrome.
Spontaneous Spinal Intradural Haematoma in an Anticoagulated Woman

A 57-year-old woman, with a history of deep venous thrombosis and medicated with warfarin, presented at the hospital with acute back pain with paraplegia, headache, high blood pressure and vomiting. Imaging of the spine showed an acute intradural extramedullary haemorrhage with blood clot formation. The patient underwent surgery and received intensive post-surgical physiotherapy but remains paraplegic. Non-traumatic spinal intradural extramedullary haematoma (SIEH) is a rare neurological emergency that can result in spinal cord compression. Physicians should always consider this clinical entity as a differential diagnosis, especially in a patient presenting with acute back pain on anticoagulant therapy. LEARNING POINTS Non-traumatic spinal intradural extramedullary haematoma is extremely rare. Acute cases can lead to spinal cord compression. Physicians should consider this clinical entity in anticoagulated patients presenting with acute onset of back or radicular pain followed by paraplegia, intestinal and bladder dysfunction.
Neonatal Mortality in Hospitalized Chinese Population: A Meta-Analysis

Objective In this meta-analysis, we aim to investigate the neonatal mortality in hospitalized Chinese population in the recent 20 years in China, which may provide basis for decreasing the neonatal mortality. Methods The merged mortality was estimated based on the random effect model, and subgroup analysis was performed for the gender, publication year, gestational age, and birth weight. Sensitivity analysis was utilized to evaluate the effects of research type and research quality on the effects. Results The neonatal mortality in eastern China was lower than that of the central and western China (2.3% versus 2.9; 2.3% versus 26.%). The mortality in neonates with a gestational age of 28-32 weeks (0.6%) was significantly higher than that of <28 weeks (0.1%), 32-37 weeks (0.3%), 37-42 weeks (0.4%), and >42 weeks (0.1%). The mortality in those with a body weight of 1.0-2.5 kg (0.3%) was significantly higher than that of 2.5-4.0 kg (0.2%) and >4.0 kg (0.0%). Sensitivity analysis revealed that the findings of meta-analysis were stable. The major causes for neonatal death included asphyxia, respiratory distress syndrome, and infection. Conclusions The hospitalized neonatal mortality showed a tendency of decrease, which differed based on gender, region, gestational age, and birth weight.
Nanofiber-Mediated Sustained Delivery of Triiodothyronine: Role in Angiogenesis

Angiogenesis is a vital component of the orchestrated wound healing cascade and tissue regeneration process, which has a therapeutic prominence in treatment of ischemic vascular diseases and certain cardiac conditions. Based on its eminence, several strategies using growth factors have been studied to initiate angiogenesis. However, growth factors are expensive and have short half-life. In this work, sustained release of triiodothyronine, which plays a crucial role in stimulating growth factors and other signaling pathways that are instrumental in initiating angiogenesis, has been attempted through electrospun polycaprolactone nanofibers. This delivery system enabled the slow and sustained delivery of triiodothyronine into the micro-environment, reducing seepage of excess into systemic circulation and eliminating the necessity of repeated dosage forms. It was observed that triiodothyronine-incorporated nanofibers exhibited favorable interaction with cells (phalloidin staining of actin filaments) and also enhanced the rate of endothelial proliferation, migration, and adhesion. The angiogenic potential of these nanofibers was further corroborated through chorioallantoic membrane and rat aortic ring assay (demonstrating cell sprouting area of 3.3 ± 0.71 mm2 compared to 1.2 ± 0.01 mm2 in control). The nanofiber matrix thus fabricated demonstrated a vibrant therapeutic potential to induce angiogenesis. Triiodothyronine also plays a significant role in wound healing independent of initiating angiogenesis. This further substantiates the positive impact of this delivery system as a dressing material for chronic wound therapeutics, ischemic vascular diseases, and certain cardiac conditions.
Can Peak-Picked ECG Be Used for Heart Rate Variability?

Use of peak-picked ECG is generally not recommended for heart rate variability (HRV) calculations because the apparent R-wave peak moves around within the QRS due to the peak-picking operation. This study tests an algorithm for recovering high resolution RR intervals from peak-picked ECG. Two databases were used for testing, simulated ECG and Holter ECG from end stage renal disease (ESRD) patients on and off hemodialysis. Twenty minute samples of single lead ECG (n=1000) were generated by the Physionet HRV ECG simulator. Each ECG record had a random combination of heart rate standard deviation and additive noise. 12-lead, 48 hour Holter ECG from 51 ESRD patients was split into 20 minute segments for HRV analysis. ECG was decimated to 250sps from 1000sps and then peak-picked to the final sample rate of 125sps. High resolution RR interval recovery was based on up-sampling and template matching to align beats. HRV standard deviation of RR intervals (SDNN) was calculated for each 20 min. segment. Bland-Altman analysis was used to assess bias of SDNN error across the SDNN range. The bias of SDNN error at low SDNN values was pronounced for RR intervals defined by R-wave peaks. RR correction by template matching reduced (1) the impact of noise and (2) the SDNN error at low levels of SDNN.