Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Vehicle Steering Pattern Recognition by Using Selected Sensor Data

Smartphone built-in sensors are essential components of vehicle steering mode recognition. Related driver assistance systems (DAS) and abnormal driving behavior detection systems have been studied for many years. However, the existing solutions and systems simply collect sensor data with a fixed sliding window and fuse data from multiple sensors using simple thresholds to detect different driving behaviors. The weakness of these solutions can have an adverse impact on the energy consumption and computation complexity of power-limited devices such as smartphones, and may provide coarse-grained results. In this paper, we present a new method to reduce both the energy consumption and the computation complexity, and improve the recognition accuracy of vehicle steering patterns using the following three improvements: 1) a MultiWave filter is designed to replace the fixed sliding window, which is used to identify vehicle steering events; 2) a set of eight statistical sensor features reflecting the vehicle steering modes are identified by extracting statistical features from different sensors and different axes; 3) different machine learning methods are compared based on this feature set in order to improve classifier training (Decision Tree and Random Forest). Evaluation results based on real vehicle datasets show that our improved classifiers have high real-time recognition accuracy of the five most common steering modes: left/right turns, left/right lane changes and U-turns. We also took a simple on-road testing, in which both of the two models detected all the steering behaviors under low vehicle speed.
SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction

Pedestrian trajectory prediction is an extremely challenging problem because of the crowdedness and clutter of the scenes. Previous deep learning LSTM-based approaches focus on the neighbourhood influence of pedestrians but ignore the scene layouts in pedestrian trajectory prediction. In this paper, a novel hierarchical LSTM-based network is proposed to consider both the influence of social neighbourhood and scene layouts. Our SS-LSTM, which stands for Social-Scene-LSTM, uses three different LSTMs to capture person, social and scene scale information. We also use a circular shape neighbourhood setting instead of the traditional rectangular shape neighbourhood in the social scale. We evaluate our proposed method against two baseline methods and a state-of-art technique on three public datasets. The results show that our method outperforms other methods and that using circular shape neighbourhood improves the prediction accuracy.
Beyond triplet: Unconventional superconductivity in a spin-3/2 topological semimetal

Evidence of unconventional superconducting state in a topological semimetal confirms unprecedented spin-3/2 Cooper pairing. In all known fermionic superfluids, Cooper pairs are composed of spin-1/2 quasi-particles that pair to form either spin-singlet or spin-triplet bound states. The “spin” of a Bloch electron, however, is fixed by the symmetries of the crystal and the atomic orbitals from which it is derived and, in some cases, can behave as if it were a spin-3/2 particle. The superconducting state of such a system allows pairing beyond spin-triplet, with higher spin quasi-particles combining to form quintet or septet pairs. We report evidence of unconventional superconductivity emerging from a spin-3/2 quasi-particle electronic structure in the half-Heusler semimetal YPtBi, a low-carrier density noncentrosymmetric cubic material with a high symmetry that preserves the p-like j = 3/2 manifold in the Bi-based Γ8 band in the presence of strong spin-orbit coupling. With a striking linear temperature dependence of the London penetration depth, the existence of line nodes in the superconducting order parameter Δ is directly explained by a mixed-parity Cooper pairing model with high total angular momentum, consistent with a high-spin fermionic superfluid state. We propose a k ⋅ p model of the j = 3/2 fermions to explain how a dominant J = 3 septet pairing state is the simplest solution that naturally produces nodes in the mixed even-odd parity gap. Together with the underlying topologically nontrivial band structure, the unconventional pairing in this system represents a truly novel form of superfluidity that has strong potential for leading the development of a new series of topological superconductors.
A Retrospective Study to Compare Five Induction Chemotherapy Regimens Prior to Radiotherapy in the Reduction of Regional Lymph Node Size in Patients with Nasopharyngeal Carcinoma

Background Combined chemotherapy and radiation therapy are used to treat nasopharyngeal carcinoma (NPC). Previous studies have shown that induction chemotherapy, given before radiotherapy, is beneficial in patients with local lymph node metastases. The aim of this study was to evaluate regional lymph node size in patients with NPC and the efficacy of five induction chemotherapy regimens given before radiotherapy. Material/Methods Between December 2007 and June 2011, 190 patients were included in this study, who had regionally advanced NPC (Stages II–IV). Five induction chemotherapy regimens were given prior to radiation: 98 patients (51.6%) received the TPF regimen (docetaxel, cisplatin, and fluorouracil); 56 patients (29.5%) received PF regimen (cisplatin and fluorouracil); 26 patients (13.7%) received the TP regimen (cisplatin and docetaxel); seven patients (3.7%) received combined nimotuzumab with TPF; three patients (1.6%) received a combination of the novel modified recombinant human endostatin (Endostar) with PF. The length and width of the regional lymph nodes were measured using neck B-mode (high-resolution grey scale) ultrasonography before chemotherapy and on the second day following completion of chemotherapy. Gastrointestinal tract and bone marrow suppression were also monitored during and after chemotherapy. Results The TPF chemotherapy induction regimen resulted in an improved early response of lymph node size reduction, compared with the PF and TP chemotherapy induction regimens. The combined use of nimotuzumab with the TPF regimen improved efficacy by 15%. The combined use of Endostar improved the efficacy of the PF regimen by 56% (P<0.05). Conclusions In a retrospective study in patients with NPC, different induction chemotherapy regimens had different effects on lymph node size before radiation therapy.
Phase retrieval for Fourier Ptychography under varying amount of measurements

Fourier Ptychography is a recently proposed imaging technique that yields high-resolution images by computationally transcending the diffraction blur of an optical system. At the crux of this method is the phase retrieval algorithm, which is used for computationally stitching together low-resolution images taken under varying illumination angles of a coherent light source. However, the traditional iterative phase retrieval technique relies heavily on the initialization and also need a good amount of overlap in the Fourier domain for the successively captured low-resolution images, thus increasing the acquisition time and data. We show that an auto-encoder based architecture can be adaptively trained for phase retrieval under both low overlap, where traditional techniques completely fail, and at higher levels of overlap. For the low overlap case we show that a supervised deep learning technique using an autoencoder generator is a good choice for solving the Fourier ptychography problem. And for the high overlap case, we show that optimizing the generator for reducing the forward model error is an appropriate choice. Using simulations for the challenging case of uncorrelated phase and amplitude, we show that our method outperforms many of the previously proposed Fourier ptychography phase retrieval techniques.
Interleukin‐6 receptor inhibitor tocilizumab ameliorates periodontal inflammation in patients with rheumatoid arthritis and periodontitis as well as tumor necrosis factor inhibitors

Interleukin‐6 (IL‐6) may play a pathological role in rheumatoid arthritis (RA) and periodontitis. Although the efficacy of medication with IL‐6 receptor inhibitor, tocilizumab (TCZ), has been demonstrated in the treatment of RA, very little is known about whether TCZ therapy affects periodontitis. The aim of the present study is to compare periodontal condition in patients with RA and periodontitis before and after TCZ therapy. The study participants consisted of 20 patients with RA and periodontitis who were treated with TCZ and 40 patients with RA and periodontitis who received medication with tumor necrosis factor inhibitor (TNFI). Clinical periodontal and rheumatologic assessments and serum biochemical measurements using enzyme‐linked immunosorbent assays were performed at baseline and 3 and 6 months later. TCZ and TNFI therapies significantly reduced periodontal inflammation that was determined by gingival index, bleeding on probing, and probing depth (p < 0.017), although plaque levels were comparable before and after the therapies. Both therapies also significantly decreased disease activity score including 28 joints using C‐reactive protein (CRP), number of tender and swollen joints, and serum levels of anti‐cyclic citrullinated peptide antibodies, rheumatoid factor, CRP, and matrix metalloproteinase‐3 (p < 0.017). Additionally, a significant decrease was observed in periodontal clinical attachment level after TCZ therapy (p < 0.017), but not after TNFI therapy. TCZ therapy significantly decreased serum levels of TNF‐α, total immunoglobulin G, and serum amyloid A (p < 0.017), although serum levels of IL‐6 and soluble IL‐6R were significantly increased (p < 0.017). These results suggest a beneficial effect of TCZ therapy on levels of periodontal inflammation in patients with RA and periodontitis, which might be related to decrease in serum inflammatory mediators.
Mechanisms and Management of Acute Pancreatitis

Acute pancreatitis represents a disorder characterized by acute necroinflammatory changes of the pancreas and is histologically characterized by acinar cell destruction. Diagnosed clinically with the Revised Atlanta Criteria, and with alcohol and cholelithiasis/choledocholithiasis as the two most prominent antecedents, acute pancreatitis ranks first amongst gastrointestinal diagnoses requiring admission and 21st amongst all diagnoses requiring hospitalization with estimated costs approximating 2.6 billion dollars annually. Complications arising from acute pancreatitis follow a progression from pancreatic/peripancreatic fluid collections to pseudocysts and from pancreatic/peripancreatic necrosis to walled-off necrosis that typically occur over the course of a 4-week interval. Treatment relies heavily on fluid resuscitation and nutrition with advanced endoscopic techniques and cholecystectomy utilized in the setting of gallstone pancreatitis. When necessity dictates a drainage procedure (persistent abdominal pain, gastric or duodenal outlet obstruction, biliary obstruction, and infection), an endoscopic ultrasound with advanced endoscopic techniques and technology rather than surgical intervention is increasingly being utilized to manage symptomatic pseudocysts and walled-off pancreatic necrosis by performing a cystogastrostomy.
Durability, safety, and efficacy of rilpivirine in clinical practice: results from the SCOLTA Project

Rilpivirine is associated with a good efficacy and safety profile. However, data from real-life settings are scarce. Methods We investigated the durability, safety and efficacy of Rilpivirine-based antiretroviral therapy in a prospective, observational, multicenter study. Results We enrolled 499 HIV-infected patients, 360 (72.1%) males, mean age 43.4 ± 10.5 years, mean CD4 600 ± 327 cell/μL, mean HIV-RNA 3.80 ± 1.15 log10 cp/mL. After a median follow up of 16 months, 81 (16.2%) interruptions were reported, 36 (7.2%) of which for adverse events (16 of grade ≥3), most commonly neurological and gastrointestinal. We observed virological failures in only 8 (1.6%) patients. Naive patients showed a significant reduction in eGFR at week 24, 48 and 72 and in total cholesterol (TC)/HDL ratio at week 48 (p=0.007). In patients switching from PI we found a significant decrease at week 24 and 48 in TC and triglycerides at week 24, 48 and 72. eGFR showed a significant decrease at week 48 and 72. TC/HDL ratio showed a statistically significant decrease at week 24 (p=0.0008) and 72 (p=0.04). A significant increase at week 24 and 48 in AST and ALT values was observed. Patients switching from TDF/FTC/EFV showed a reduction in HDL, total cholesterol and triglycerides at week 24 and 48 and in eGFR at all follow up times. TC/HDL ratio showed a significant decrease at week 48 (p=0.01). CDC stage C and antiretroviral-experience (especially Protease Inhibitors) were associated with RPV discontinuation. Conclusion In conclusion, our data confirm Rilpivirine efficacy, safety and tolerability with improvement in lipid profile. Although hepatic and renal events rarely caused discontinuation, liver and kidney parameters should be monitored.
Perceived motivational factors for female football players during rehabilitation after sports injury – a qualitative interview study

Compliance with a rehabilitation program is significant among athletes following a sports injury. It is also one of the main factors that influence the rehabilitation process; moreover, the outcome is also influenced by the athlete’s motivation. It is primarily an autonomous motivation, resulting in rehabilitation adherence. The aim of this study was to investigate the perceived motivation of female football players during rehabilitation after a sports injury and the extent to which these motivating factors were autonomous. Qualitative interviews, based on a semistructured interview guide with injured female football players undergoing rehabilitation, were analyzed using content analysis. The motivational factors that were described were their set goals, social support as well as external and internal pressures during rehabilitation. The perceived autonomy varied somewhat but overall, they experienced external motivation; therefore, the behavior was not entirely self-determined. Results are expected to provide a better understanding of women football players’ motivation in relation to their rehabilitation; hence, physiotherapists and coaches who are part of the rehabilitation process can contribute by increasing the autonomous motivation, thus, improving the compliance and outcome of the rehabilitation.
Error‐related brain activity in adolescents with obsessive‐compulsive disorder and major depressive disorder

The error‐related negativity (ERN) is a negative deflection in the event‐related potential following a mistake that is often increased in patients with obsessive‐compulsive disorder (OCD). The relationship of the ERN to comorbid major depressive disorder (MDD) has not been examined in adolescents with OCD. This study compared ERN amplitudes in OCD patients with MDD (OCD + MDD), OCD patients without MDD (OCD − MDD), MDD patients, and healthy controls (HC).
From in silico to in vitro: a trip to reveal flavonoid binding on the Rattus norvegicus Kir6.1 ATP-sensitive inward rectifier potassium channel

Background ATP-sensitive inward rectifier potassium channels (Kir), are a potassium channel family involved in many physiological processes. KATP dysfunctions are observed in several diseases such as hypoglycaemia, hyperinsulinemia, Prinzmetal angina–like symptoms, cardiovascular diseases. Methods A broader view of the KATP mechanism is needed in order to operate on their regulation, and in this work we clarify the structure of the Rattus norvegicus ATP-sensitive inward rectifier potassium channel 8 (Kir6.1), which has been obtained through a homology modelling procedure. Due to the medical use of flavonoids, a considerable increase in studies on their influence on human health has recently been observed, therefore our aim is to study, through computational methods, the three-dimensional (3D) conformation together with mechanism of action of Kir6.1 with three flavonoids. Results Computational analysis by performing molecular dynamics (MD) and docking simulation on rat 3D modelled structure have been completed, in its closed and open conformation state and in complex with Quercetin, 5-Hydroxyflavone and Rutin flavonoids. Our study showed that only Quercetin and 5-Hydroxyflavone were responsible for a significant down-regulation of the Kir6.1 activity, stabilising it in a closed conformation. This hypothesis was supported by in vitro experiments demonstrating that Quercetin and 5-Hydroxyflavone were capable to inhibit KATP currents of rat tail main artery myocytes recorded by the patch-clamp technique. Conclusion Combined methodological approaches, such as molecular modelling, docking and MD simulations of Kir6.1 channel, used to elucidate flavonoids intrinsic mechanism of action, are introduced, revealing a new potential druggable protein site.
Nonparametric implied Lévy densities

This paper develops a nonparametric estimator for the Lévy density of an asset price, following an Itô semimartingale, implied by short-maturity options. The asymptotic setup is one in which the time to maturity of the available options decreases, the mesh of the available strike grid shrinks and the strike range expands. The estimation is based on aggregating the observed option data into nonparametric estimates of the conditional characteristic function of the return distribution, the derivatives of which allow to infer the Fourier transform of a known transform of the Lévy density in a way which is robust to the level of the unknown diffusive volatility of the asset price. The Lévy density estimate is then constructed via Fourier inversion. We derive an asymptotic bound for the integrated squared error of the estimator in the general case as well as its probability limit in the special Lévy case. We further show rate optimality of our Lévy density estimator in a minimax sense. An empirical application to market index options reveals relative stability of the left tail decay during high and low volatility periods.
ReMotENet: Efficient Relevant Motion Event Detection for Large-Scale Home Surveillance Videos

This paper addresses the problem of detecting relevant motion caused by objects of interest (e.g., person and vehicles) in large scale home surveillance videos. The traditional method usually consists of two separate steps, i.e., detecting moving objects with background subtraction running on the camera, and filtering out nuisance motion events with deep learning based object detection and tracking running on cloud. The method is extremely slow, and does not fully leverage the spatial-temporal redundancies with a pre-trained off-the-shelf object detector. To dramatically speedup relevant motion event detection and improve its performance, we propose a novel network for relevant motion event detection, ReMotENet, which is a unified, end-to-end data-driven method using spatial-temporal attention-based 3D ConvNets to jointly model the appearance and motion of objects-of-interest in a video. Re-MotENet parses an entire video clip in one forward pass of a neural network to achieve significant speedup, which exploits the properties of home surveillance videos, and enhances 3D ConvNets with a spatial-temporal attention model and frame differencing to encourage the network to focus on the relevant moving objects. Experiments demonstrate that our method can achieve comparable or event better performance than the object detection based method but with three to four orders of magnitude speedup (up to 20k) on GPU devices. Our network is efficient, compact and light-weight. It can detect relevant motion on a 15s surveillance video clip within 4-8 milliseconds on a GPU and a fraction of second (0.17-0.39s) on a CPU with a model size of less than 1MB.
A Risk Prediction Model for Delayed Graft Function in the Current Era of Deceased Donor Renal Transplantation

Delayed graft function (DGF) impacts short‐ and long‐term outcomes. We present a model for predicting DGF after renal transplantation. A multivariable logistic regression analysis of 24 337 deceased donor renal transplant recipients (2003–2006) was performed. We developed a nomogram, depicting relative contribution of risk factors, and a novel web‐based calculator (http://www.transplantcalculator.com/DGF) as an easily accessible tool for predicting DGF. Risk factors in the modern era were compared with their relative impact in an earlier era (1995–1998). Although the impact of many risk factors remained similar over time, weight of immunological factors attenuated, while impact of donor renal function increased by 2‐fold. This may reflect advances in immunosuppression and increased utilization of kidneys from expanded criteria donors (ECDs) in the modern era. The most significant factors associated with DGF were cold ischemia time, donor creatinine, body mass index, donation after cardiac death and donor age. In addition to predicting DGF, the model predicted graft failure. A 25–50% probability of DGF was associated with a 50% increased risk of graft failure relative to a DGF risk <25%, whereas a >50% DGF risk was associated with a 2‐fold increased risk of graft failure. This tool is useful for predicting DGF and long‐term outcomes at the time of transplant.
Narrative self-making during dinnertime conversations in Chinese immigrant families

Narrative self-making at dinnertime was examined in Chinese immigrant families, with European American families serving as a comparison group. Based on Bruner’s (1986, 1990) “dual landscapes” theoretical framework, we analyzed memory conversations at dinnertime in five Chinese immigrant and seven European American families with preschool-aged children. Chinese immigrant families engaged in lengthier dinner conversations than did European American families. Chinese immigrant and European American parents further differed in the way they narrated information pertaining to the landscape of actions (e.g., people involved, child’s actions, others’ actions) and landscape of consciousness (e.g., child’s internal states, others’ internal states). As Chinese immigrant parents continue to uphold values from the culture-of-origin while adopting the values of the host culture, they narrated information that would socialize their children towards the development of a bicultural self. On the other hand, in accordance with their cultural values, European American parents narrated information that would socialize their children towards the development of an independent self. Dinnertime thus functions as an important socialization context for narrative self-making to construct a cultured self.