Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of Learning-Based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps Between Self-Driving and Traffic Congestion

Self-driving technology companies and the research community are accelerating the pace of use of machine learning longitudinal motion planning (mMP) for autonomous vehicles (AVs). This paper reviews the current state of the art in mMP, with an exclusive focus on its impact on traffic congestion. The paper identifies the availability of congestion scenarios in current datasets, and summarizes the required features for training mMP. For learning methods, the major methods in both imitation learning and non-imitation learning are surveyed. The emerging technologies adopted by some leading AV companies, such as Tesla, Waymo, and Comma.ai, are also highlighted. It is found that: (i) the AV industry has been mostly focusing on the long tail problem related to safety and has overlooked the impact on traffic congestion, (ii) the current public self-driving datasets have not included enough congestion scenarios, and mostly lack the necessary input features/output labels to train mMP, and (iii) although the reinforcement learning approach can integrate congestion mitigation into the learning goal, the major mMP method adopted by industry is still behavior cloning, whose capability to learn a congestion-mitigating mMP remains to be seen. Based on the review, the study identifies the research gaps in current mMP development. Some suggestions for congestion mitigation for future mMP studies are proposed: (i) enrich data collection to facilitate the congestion learning, (ii) incorporate non-imitation learning methods to combine traffic efficiency into a safety-oriented technical route, and (iii) integrate domain knowledge from the traditional car-following theory to improve the string stability of mMP.
Fate of Majorana zero modes by a modified real-space-Pfaffian method and mobility edges in a one-dimensional quasiperiodic lattice

We aim to study a one-dimensional p-wave superconductor with quasiperiodic on-site potentials. A modified real-space-Pfaffian method is applied to calculate the topological invariants. We confirm that the Majorana zero mode is protected by the nontrivial topology the topological phase transition is accompanied by the energy gap closing and reopening. In addition, we numerically find that there are mobility edges which originate from the competition between the extended p-wave pairing and the localized quasi-disorder. We qualitatively analyze the influence of superconducting pairing parameters and on-site potential strength on the mobility edge. In general, our work enriches the research on the p-wave superconducting models with quasiperiodic potentials.
Video captioning with stacked attention and semantic hard pull

Video captioning, i.e., the task of generating captions from video sequences creates a bridge between the Natural Language Processing and Computer Vision domains of computer science. The task of generating a semantically accurate description of a video is quite complex. Considering the complexity, of the problem, the results obtained in recent research works are praiseworthy. However, there is plenty of scope for further investigation. This paper addresses this scope and proposes a novel solution. Most video captioning models comprise two sequential/recurrent layers—one as a video-to-context encoder and the other as a context-to-caption decoder. This paper proposes a novel architecture, namely Semantically Sensible Video Captioning (SSVC) which modifies the context generation mechanism by using two novel approaches—“stacked attention” and “spatial hard pull”. As there are no exclusive metrics for evaluating video captioning models, we emphasize both quantitative and qualitative analysis of our model. Hence, we have used the BLEU scoring metric for quantitative analysis and have proposed a human evaluation metric for qualitative analysis, namely the Semantic Sensibility (SS) scoring metric. SS Score overcomes the shortcomings of common automated scoring metrics. This paper reports that the use of the aforementioned novelties improves the performance of state-of-the-art architectures.
A New Class of Chiral Nematic Phase with Helical Polar Order

A novel chiral nematic phase with a polar helical order is realized via the introduction of helical twisting power into a polar nematogen. The properties of the induced polar nematic (polar cholesteric: Np*) phase differ from those of the conventional cholesteric (N*) phases existing thus far. Np*, which is a new class of N* structures, is characterized not only by its helically twisted nematic director, but also by a continuously twisted polarization. Transmission spectroscopy and helical pitch measurements in a wedge cell revealed that the half‐helical pitch in the Np* phase vanished because of the polar response in the Np* helix. The inner polar director in the Np* phase is confirmed in dielectric and second‐harmonic‐generation studies. Furthermore, this unique Np*LC, which corresponds to a half‐/full‐pitch helix, enables ultrafast electro‐optic switching (τ < 20 µs), and proposes new potential applications for electrically interchangeable photonic bandgaps.
Population-Based Estimates of Associations Between Child Maltreatment Types: A Meta-Analysis

Although it is accepted that experiences of child maltreatment are multidimensional and often include several correlated but distinct experiences, many clinical and research decisions regarding exposure and treatment do not consider their potential overlap or potential independence. The purpose of this meta-analysis—using a single retrospective self-report measure, the Childhood Trauma Questionnaire (CTQ), in population-representative samples—was to investigate the magnitude and specificity of associations between forms of child maltreatment. A systematic review of studies available on PubMed, PsycINFO, and Google Scholar was conducted, resulting in the inclusion of nine journal articles, 11 independent samples, and 25,415 participants. Data were converted from Pearson correlations to Z statistics and pooled using a random effects model. All maltreatment types were positively and significantly associated. Effect sizes varied from medium to large, with (1) physical abuse and emotional abuse (Z = 0.72, 95% CI [.48, .96]), (2) physical neglect and emotional neglect (Z = 0.62, 95% CI [.43, .81]), and (3) emotional abuse and emotional neglect (Z = 0.54, 95% CI [.35, .72]) demonstrating the strongest associations. These analyses provide evidence of the associations between types of child maltreatment, indicate the likelihood of shared risk, and point to characteristics that may link different types of maltreatment. These findings have important clinical implications as they may help guide comprehensive screening for associated maltreatment types as well as intervention and prevention efforts. Limitations include the relatively few studies included and those associated with the CTQ—a retrospective, self-report measure that does not account for the concurrence of experiences.
Predictors of mortality for hospitalized young adults aged less than 60 years old with severe COVID-19: a retrospective study

Background To analyze the clinical characteristics and predictors for mortality of adult younger than 60 years old with severe coronavirus disease 2019 (COVID-19). Methods We retrospectively retrieved data for 152 severe inpatients with COVID-19 including 60 young patients in the Eastern Campus of Wuhan University affiliated Renmin Hospital in Wuhan, China, from January 31, 2020 to February 20, 2020. We recorded and analyzed patients’ demographic, clinical, laboratory, and chest CT findings, treatment and outcomes data. Results Of those 60 severe young patients, 15 (25%) were died. Male was more predominant in deceased young patients (12, 80%) than that in recovered young patients (22, 49%). Hypertension was more common among deceased young patients (8, 53%) than that in recovered young patients (7, 16%). Compared with the recovered young patients, more deceased young patients presented with sputum (11, 73%), dyspnea (12, 80%) and fatigue (13, 87%). Only sputum, PSI and neutrophil counts were remained as independent predictors of death in a multivariate logistic regression model. Among ARDS patients, the recovered were administrated with corticosteroid earlier and anticoagulation. The addition of neutrophil counts >6.3×109/L to the SMART-COP score resulted in improved area under the curves. Conclusions Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection in young deceased patients appears to cause exuberant inflammatory responses, leading to compromised oxygen exchange, coagulation and multi-organ dysfunction. In addition, young patients with ARDS could benefit from adjuvant early corticosteroid and anticoagulation therapy. The expanded SMART-COP could predict the fatal outcomes with optimal efficiency.
Virtual Reality after Surgery—A Method to Decrease Pain After Surgery in Pediatric Patients

Background Virtual Reality (VR) is used as an effective tool for distraction and as an adjunct for pain management. This study was conducted to compare VR to standard iPad use after surgery and examine its effect on pain score and opioid consumption. Methods This was a randomized controlled study, with stratification by surgery type, age group (7-12yo, 13-18yo) and gender. Pain and anxiety were assessed with validated scales (STAI, FACES, VAS, FLACC) and outcomes were compared between each group. Results 50 of the 106 enrolled patients used the VR device. After adjusting for age, gender, and STAI, patients had a decreased FLACC score while using the VR device compared to the iPad group (odds ratio 2.95, P = .021). The younger patients were found to have lower FLACC scores while using the VR device (odds ratio 1.15, p=0.044); this finding was most significant when patients used the VR device for 20-30 minutes (odds ratio 1.67, P = .0003). Additionally, after adjusting for treatment group, gender, and STAI, the younger patients had higher odds of withdrawal or exclusion from the study (odds ratio 1.18, P = .021). No significant difference in opioid consumption between the groups was found. Discussion Virtual reality was well tolerated and more effective in decreasing pain during the immediate postoperative period than iPad use. Despite a slightly higher withdrawal rate, younger patients benefited more from the intervention.
A novel application of SMART on FHIR architecture for interoperable and scalable integration of patient-reported outcome data with electronic health records

OBJECTIVE Despite a proliferation of applications (apps) to conveniently collect patient-reported outcomes (PROs) from patients, PRO data are yet to be seamlessly integrated with electronic health records (EHRs) in a way that improves interoperability and scalability. We applied the newly created PRO standards from the Office of the National Coordinator for Health Information Technology to facilitate the collection and integration of standardized PRO data. A novel multitiered architecture was created to enable seamless integration of PRO data via Substitutable Medical Apps and Reusable Technologies on Fast Healthcare Interoperability Resources apps and scaled to different EHR platforms in multiple ambulatory settings. MATERIALS AND METHODS We used a standards-based approach to deploy 2 apps that source and surface PRO data in real-time for provider use within the EHR and which rely on PRO assessments from an external center to streamline app and EHR integration. RESULTS The apps were developed to enable patients to answer validated assessments (eg, a Patient-Reported Outcomes Measurement Information System including using a Computer Adaptive Test format). Both apps were developed to populate the EHR in real time using the Health Level Seven FHIR standard allowing providers to view patients' data during the clinical encounter. The process of implementing this architecture with 2 different apps across 18 ambulatory care sites and 3 different EHR platforms is described. CONCLUSION Our approach and solution proved feasible, secure, and time- and resource-efficient. We offer actionable guidance for this technology to be scaled and adapted to promote adoption in diverse ambulatory care settings and across different EHRs.
Lethal and Sublethal Effects of Proteus, Matrine, and Pyridalyl on Frankliniella occidentalis (Thysanoptera:Thripidae)

Abstract The western flower thrips (WFT), Frankliniella occidentalis (Pergande) is one of the most harmful pests of crops in greenhouses and fields. Considering the need for studies that introduce new insecticides for control of the WFT, the leaf dip method was carried out to study the acute toxicity of Proteus, matrine, and pyridalyl to adult thrips, and life tables were constructed to assess the impacts of sublethal concentrations (LC25) of these insecticides on the development and reproduction of the F1 generation. Bioassays showed that the toxicity of matrine (LC50: 45.9 µl ml–1) and Proteus (LC50: 54.5 µl ml–1) was higher than pyridalyl (LC50: 176.5 µl ml–1). At LC25 concentration, both Proteus and matrine prolonged the development period and reduced the survival rate of eggs, larval stages, and pupae in the F1 generation. Also, the adults' longevity, oviposition duration, and the cumulative number of eggs laid per female (fecundity) were decreased significantly. Sublethal concentrations of Proteus and matrine inhibited the population growth rate relative to the control based on the predicted number of offspring. The lowest net reproductive rate (R0), intrinsic rate of increase (r), and finite rate of increase (λ) were estimated for Proteus (7.02 offspring/individual, 0. 0838 d–1, and 1. 08 d–1, respectively). In contrast, the WFT F1 generation that resulted from parent adults treated with pyridalyl was neither affected in their developmental time, nor fecundity, or the intrinsic rate of increase. According to our findings, all tested insecticides, especially Proteus, showed good potential for use in integrated pest management strategies against F. occidentalis.
A randomized trial comparing the clinical efficacy and safety of a novel steerable percutaneous kyphoplasty with traditional PKP in osteoporotic vertebral fractures

Background Percutaneous kyphoplasty (PKP) is a highly practical technology to treat osteoporotic vertebral compression fractures (OVCFs). However, the operation time and radiation exposure remain problematic. This study explored the differences in surgical effects and safety between a novel steerable percutaneous kyphoplasty (S-PKP) and traditional PKP in order to achieve better clinical outcomes for OVCF patients. It is also exploring whether the new technology could reduce the radiation exposure. Methods This study recruited 72 patients (between March 2019 and January 2020) with OVCFs (single vertebra). The patients were semi-randomly divided these patients into two groups according to ID numbers: a S-PKP group (33 cases) and a PKP group (39 cases). We evaluated the clinical efficacy using the kyphotic Cobb angle, Oswestry disability index (ODI), visual analogue scale (VAS) score, injected cement volume, operation time, intraoperative radiation times, bone cement leakage, and postoperative complications. Patients were followed up once preoperatively, and at 1 day, 6 months, and 1 year postoperatively. Results There were no cases of cement leakage or postoperative complications. There were no significant differences in gender, age, Bone mineral density T-score (BMD T) value, Cobb angle between the two groups (P>0.05). Intraoperative bone cement injection was approximately 5.25±1.37 and 5.32±1.29 mL in the PKP and S-PKP groups respectively. The postoperative VAS score and ODI of the two groups at 1 day, 6 months, and 1 year were markedly lower than before (P<0.05). There was a considerable improvement in the Cobb angle postoperatively (P<0.05). However, as the follow-up time extended, the Cobb Angle increased. The operation time and X-ray exposure times of patients in the PKP group were notably higher than those in the S-PKP group. The operation time was 51.59±9.14 min in the PKP group and 30.76±4.82 min in the S-PKP group. The frequency of intraoperative radiation was 105.9±31.93 times in the PKP group and 47.42±11.88 times in the S-PKP group. Conclusions Early results showed that S-PKP is a safe and efficient method for the treatment of OVCFs. S-PKP can reduce the operation time and radiation exposure. Trial registration Chinese Clinical Trial Registry ChiCTR2100046727
PNF- based Gait Rehabilitation-training after a Total Hip Arthroplasty in congenital pelvic malformation; A case report

ABSTRACT Introduction Congenital dysplasia of the pelvis often occurs in isolation, however, it can also involve other pelvic components, and anomalies of the digestive system. Pelvic malformations have effects on the pelvic girdle and pelvic stability influencing the quality of gait. The condition can be treated with a total hip arthroplasty (THA). The concept of Proprioceptive Neuromuscular Facilitation (PNF) has been described as a comprehensive rehabilitation approach with a focus on motor learning. This case report seeks to illustrate the clinical reasoning and feasibility of applying the PNF-concept in a patient after a THA with multiple congenital pelvis malformations. Case Description A male, 44 years of age, physically active laborer was treated with THA after hip dysplasia, with comorbid missing pubic symphysis. The patient presented with complaints in gait speed, gait distance, hip joint mobility and stability. Patient Management PNF-based motor-control training, including specified PNF-pattern exercises with specific PNF-facilitation principles and techniques was provided over a period of eighteen weeks. Results showed improvements beyond the minimal detectable change and/or the minimal clinically important difference for physical functioning in gait, strength, range of motion, and personal required activities. Discussion and Conclusion Gait rehabilitation training, restoring altered movement patterns in the patient’s activities of daily living was provided with PNF. Besides targeting structural impairments, this approach elicited motor learning effects. PNF-patterns have been described as: “mimicking functional activities” from daily life and sports. A specified PNF-based therapy including motor learning components, was a feasible approach in this case of complex pelvic skeletal malformations.
Tumor protein D52 promotes breast cancer proliferation and migration via the long non-coding RNA NEAT1/microRNA-218-5p axis

Background Breast cancer is an aggressive disease with high morbidity and mortality rates among women globally. Tumor protein D52 (TPD52) is an oncogene in breast cancer; however, its physiological function remains elusive. This study set out to obtain a deeper understanding of the functions of TPD52 in the pathophysiology of breast cancer by exploring its effects on breast cancer cell proliferation and migration. Methods Bioinformatics analysis was performed to predict the bonding of TPD52 and nuclear paraspeckle assembly transcript 1 (NEAT1) with miR-218-5p. The bonding of TPD52 and NEAT1 with miR-218-5p were verified by luciferase reporter assays. The mRNA expression of TPD52, miR-218-5p or NEAT1 were tested by Rt-qPCR and the protein expression of TPD52 was tested by western blot. Colony formation and EdU assays were carried out to evaluate cell proliferation. Wound healing and Transwell assays were used to evaluate migration. Results In this study, TPD52 was upregulated in breast cancer cells, and silencing of TPD52 repressed the proliferation and migration of breast cancer cells in vitro and in vivo. Further, microRNA (miR)-218-5p reduced the expression level of TPD52, while overexpression of TPD52 attenuated the effects of miR-218-5p mimics on breast cancer cell proliferation and migration. Also, NEAT1 acted as a competitive endogenous sponge of miR-218-5p to downregulate free miR-218-5p levels. It was further observed that TPD52 overexpression recovered the inhibition of breast cancer cell growth and migration caused by NEAT1 downregulation. These results confirmed the functions of NEAT1 in breast cancer and supported the mechanism of the NEAT1/miR-218-5p/TPD52 axis. Conclusions Our findings highlight the important role of the NEAT1/miR-218-5p/TPD52 axis in breast cancer cell proliferation and migration. This axis may be a potential therapeutic target for breast cancer.
High expression of PYCARD is an independent predictor of unfavorable prognosis and chemotherapy resistance in glioma

Background PYD and CARD domain-containing (PYCARD) was upregulated in TMZ-resistant cell lines and glioma tissue and was correlated with poor prognosis, its role in glioma is unclear known. The aim of this study was to elucidate the relationship between PYCARD and glioma based on Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), and Chinese Glioma Genome Atlas (CGGA) databases. Methods Glioma-resistant cells were compared with parental cells based on the GSE53014 and GSE113510 data sets. The relationship between PYCARD, tumor microenvironment, and long noncoding RNAs (lncRNAs) was assessed using logistic regression. Moreover, Kaplan-Meier and Cox regression were used to analyze the relationship between PYCARD expression and survival rate. Gene set enrichment analysis (GSEA) was also used to determine the biological function of PYCARD and lncRNAs. Cell viability and cell migration assays were used to evaluate the ability of cells to migrate and proliferate. Finally, we analyzed the expression patterns of PYCARD genes in a wide range of cancers. Results Elevated expression of PYCARD promoted glioma cell proliferation and migration. PYCARD expression was significantly positively associated with gamma delta T cells but negatively correlated with M2 macrophages in glioblastoma multiforme (GBM). Likewise, PYCARD expression was significantly positively associated with monocytes but negatively associated with activated mast cells in low grade glioma (LGG). We also found that 3 PYCARD-related lncRNAs in GBM and 4 PYCARD-related lncRNAs in LGG had a predictive value for glioma patients. The pan-cancer analysis showed that PYCARD expression was higher in most cancer groups. Conclusions High expression of PYCARD is an independent predictor of unfavorable prognosis and chemotherapy resistance in glioma.