Miracle-dz/UniFAR-FTUs huggingface dataset:
Autonomous Driving in Structured and Unstructured Environments

Autonomous vehicles are being used increasingly often for a range of tasks, including automated highway driving and automated parking. Such systems are typically either specialized for structured environments and depend entirely on such structure being present in their surroundings, or are specialized for unstructured environments and ignore any structure that may exist. In this paper, we present a hybrid autonomous system that recognizes and exploits structure in the environment in the form of driving lanes, yet also navigates successfully when no such information is present. We believe such an approach is more flexible and more robust than either of its sub-components alone. We demonstrate the effectiveness of our system on both marked roads and unmarked lots
Field of safe travel: Using location and motion information to increase driver acceptance of pedestrian alerts

We investigated five contextual variables likely to influence driver acceptance of alerts to pedestrians issued by a night vision active safety system. Two of the five, pedestrian location and motion, were found to influence ratings. Hierarchical regression revealed that a nominal characterization of pedestrian location and two quantitative measures of motion explain more than 61% of the variance in driver ratings and do not interact. We discuss the implications of this finding for the specification of the system's alerting strategies.
Energy Balance and Breast Cancer Risk

We evaluated the hypothesis that a pattern of behavioral exposures indicating positive energy balance [i.e., less exercise/sport activity, high body mass index (BMI), or high energy intake] would be associated with an increased breast cancer risk in the Shanghai Breast Cancer Study, a population-based study of 1,459 incident breast cancer cases and 1,556 age frequency-matched controls. Participants completed in-person interviews that collected information on breast cancer risk factors, usual dietary intake and physical activity in adulthood. Anthropometric indices were measured. Odds ratios and 95% confidence intervals were estimated by logistic regression to describe the individual and joint effects of the exposures on breast cancer risk. Lack of exercise/sport activity, low occupational activity, and high BMI were all individually associated with increased risk of breast cancer [odds ratios (OR) ranged from 1.49 to 1.86]. In general, women with lower exercise/sport activity level and higher BMI, or those with higher energy intake, were at an increased risk compared with women who reported more exercise/sport activities, had lower BMIs, or reported less energy intake. There was a significant multiplicative interaction (P = 0.02) between adult exercise/sport activity and BMI, with inactive women in the upper BMI quartile being at increased risk (OR, 2.16; 95% confidence interval, 1.25-3.74) compared with their active and lean counterparts. This association was stronger in postmenopausal than in premenopausal women, and nonexercising postmenopausal women with higher BMIs were at substantially increased risk (OR, 4.74; 95% confidence interval, 2.05-12.20). Our study suggests that promotion of behavior patterns that optimize energy balance (weight control and increasing physical activity) may be a viable option for breast cancer prevention.
Studying the Effects of Code Clone Size on Clone Evolution

The practice of code cloning is something every software developer has to deal with at some point. The evolution of code clones is of particular interest, because the effects of cloning code show up later in the lifetime of a project. We research the effects a clone's properties have on its evolutionary behavior. For this purpose an approach to extract the clone size information from mined software repositories is shown. Using this approach an insight can be gained into how clone sizes evolve over time, as well as whether the size has an influence on other evolutionary patterns of a clone. We present our findings and conclude that clone size influences a clone's evolution in several ways.
Substitution Models of Water for Other Beverages, and the Incidence of Obesity and Weight Gain in the SUN Cohort

Obesity is a major epidemic for developed countries in the 21st century. The main cause of obesity is energy imbalance, of which contributing factors include a sedentary lifestyle, epigenetic factors and excessive caloric intake through food and beverages. A high consumption of caloric beverages, such as alcoholic or sweetened drinks, may particularly contribute to weight gain, and lower satiety has been associated with the intake of liquid instead of solid calories. Our objective was to evaluate the association between the substitution of a serving per day of water for another beverage (or group of them) and the incidence of obesity and weight change in a Mediterranean cohort, using mathematical models. We followed 15,765 adults without obesity at baseline. The intake of 17 beverage items was assessed at baseline through a validated food-frequency questionnaire. The outcomes were average change in body weight in a four-year period and new-onset obesity and their association with the substitution of one serving per day of water for one of the other beverages. During the follow-up, 873 incident cases of obesity were identified. In substitution models, the consumption of water instead of beer or sugar-sweetened soda beverages was associated with a lower obesity incidence (the Odds Ratio (OR) 0.80 (95% confidence interval (CI) 0.68 to 0.94) and OR 0.85 (95% CI 0.75 to 0.97); respectively) and, in the case of beer, it was also associated with a higher average weight loss (weight change difference = −328 g; (95% CI −566 to −89)). Thus, this study found that replacing one sugar-sweetened soda beverage or beer with one serving of water per day at baseline was related to a lower incidence of obesity and to a higher weight loss over a four-year period time in the case of beer, based on mathematical models.
How affect regulation moderates the association between anxious attachment and neuroticism

Abstract Correlations between anxious attachment and neuroticism (usually about .40 to .50) prompt questions about whether self-reported anxious attachment captures a key construct in attachment theory or if it reflects a more general personality trait instead. A college sample of late adolescents and young adults (N = 287) was used to show that questionnaire measures of neuroticism and anxious attachment do not have a simple linear association; instead, neuroticism and anxious attachment have a more complex dynamic relationship that is moderated by avoidant attachment, an attachment style that reflects an interpersonally derived strategy for affect regulation. The association between neuroticism and anxious attachment is further moderated by conscientiousness, a personality trait that may reflect a more biologically mediated system of affect regulation. These separate moderating effects and the different affect regulation systems they reflect are discussed in the context of longstanding debates about how personality traits and attachment styles influence each other.
Finding the most appropriate mouse model of juvenile CLN3 (Batten) disease for therapeutic studies: the importance of genetic background and gender

Mutations in the CLN3 gene cause a fatal neurodegenerative disorder: juvenile CLN3 disease, also known as juvenile Batten disease. The two most commonly utilized mouse models of juvenile CLN3 disease are Cln3-knockout (Cln3−/−) and Cln3Δex7/8-knock-in mice, the latter mimicking the most frequent disease-causing human mutation. To determine which mouse model has the most pronounced neurological phenotypes that can be used as outcome measures for therapeutic studies, we compared the exploratory activity, motor function and depressive-like behavior of 1-, 3- and 6-month-old Cln3−/− and Cln3Δex7/8-knock-in mice on two different genetic backgrounds (129S6/SvEv and C57BL/6J). Although, in many cases, the behavior of Cln3−/− and Cln3Δex7/8 mice was similar, we found genetic-background-, gender- and age-dependent differences between the two mouse models. We also observed large differences in the behavior of the 129S6/SvEv and C57BL/6J wild-type strains, which highlights the strong influence that genetic background can have on phenotype. Based on our results, Cln3−/− male mice on the 129S6/SvEv genetic background are the most appropriate candidates for therapeutic studies. They exhibit motor deficits at 1 and 6 months of age in the vertical pole test, and they were the only mice to show impaired motor coordination in the rotarod test at both 3 and 6 months. Cln3−/− males on the C57BL/6J background and Cln3Δex7/8 males on the 129S6/SvEv background also provide good outcome measures for therapeutic interventions. Cln3−/− (C57BL/6J) males had serious difficulties in climbing down (at 1 and 6 months) and turning downward on (at 1, 3 and 6 months) the vertical pole, whereas Cln3Δex7/8 (129S6/SvEv) males climbed down the vertical pole drastically slower than wild-type males at 3 and 6 months of age. Our study demonstrates the importance of testing mouse models on different genetic backgrounds and comparing males and females in order to find the most appropriate disease model for therapeutic studies.
Molecular and clinical profile of von Willebrand disease in Spain (PCM-EVW-ES): comprehensive genetic analysis by next-generation sequencing of 480 patients

Molecular diagnosis of patients with von Willebrand disease is pending in most populations due to the complexity and high cost of conventional molecular analyses. The need for molecular and clinical characterization of von Willebrand disease in Spain prompted the creation of a multicenter project (PCM-EVW-ES) that resulted in the largest prospective cohort study of patients with all types of von Willebrand disease. Molecular analysis of relevant regions of the VWF, including intronic and promoter regions, was achieved in the 556 individuals recruited via the development of a simple, innovative, relatively low-cost protocol based on microfluidic technology and next-generation sequencing. A total of 704 variants (237 different) were identified along VWF, 155 of which had not been previously recorded in the international mutation database. The potential pathogenic effect of these variants was assessed by in silico analysis. Furthermore, four short tandem repeats were analyzed in order to evaluate the ancestral origin of recurrent mutations. The outcome of genetic analysis allowed for the reclassification of 110 patients, identification of 37 asymptomatic carriers (important for genetic counseling) and re-inclusion of 43 patients previously excluded by phenotyping results. In total, 480 patients were definitively diagnosed. Candidate mutations were identified in all patients except 13 type 1 von Willebrand disease, yielding a high genotype-phenotype correlation. Our data reinforce the capital importance and usefulness of genetics in von Willebrand disease diagnostics. The progressive implementation of molecular study as the first-line test for routine diagnosis of this condition will lead to increasingly more personalized and effective care for this patient population.
Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations

Most of the stream mining techniques presented so far have primary paid attention to discovering association rules by direct comparison between time-series data sets. However, their utility is very limited for heterogeneous systems, where time series of various types (discrete, continuous, oscillatory, noisy, etc.) act dynamically in a strongly correlated manner. In this paper, we introduce a new nonlinear transformation, singular spectrum transformation (SST), to address the problem of knowledge discovery of causal relationships from a set of time series. SST is a transformation that transforms a time series into the probability density function that represents a chance to observe some particular change. For an automobile data set, we demonstrate that SST enables us to discover a hidden and useful dependency between variables.
Development / Plasticity / Repair Extracellular pH and Neuronal Depolarization Serve as Dynamic Switches to Rapidly Mobilize trkA to the Membrane of Adult Sensory Neurons

Activation of the nerve growth factor (NGF) receptor trkA and tissue acidosis are critically linked to inflammation-associated nociceptor sensitization. This study explored how increased acidity is linked to sensory neuron sensitization to NGF. Adult Wistar rat primary sensory neurons grown at physiological pH 7.4, then either kept at pH 7.4 or challenged for 30 min in pH 6.5 medium, provided a model of acidosis. Nonpermeabilizing trkA immunofluorescence revealed a significant increase in trkA mobilization to the plasma membrane from intracellular stores in response to proton challenge. This was confirmed using a surface protein biotinylation assay and Brefeldin A disruption of the rough endoplasmic reticulum-Golgi-trans-Golgi network. Mobilization of trkA to the membrane at pH 6.5 was abolished in neurons treated with the acid-sensitive ion channel blocker, amiloride. While elevated levels of NGF-independent trkA phosphorylation occurred at pH 6.5 alone, the level of activation was significantly increased in response to NGF challenge. Exposure of sensory neurons to pH 6.5 medium also resulted in strong calcium (Ca 2 ) transients that were reversible upon reintroduction to physiological pH. The pH 6.5-induced mobilization of trkA to the membrane was Ca 2 dependent, as BAPTA-AM Ca 2 chelation abrogated the response. Interestingly, KCl-induced depolarization was sufficient to induce mobilization of trkA to the cell surface at pH 7.4, but did not augment the response to pH 6.5. In conclusion, increased mobilization of trkA to neuronal membranes in response to either acidosis or neuronal depolarization provides two novel mechanisms by which sensory neurons can rapidly sensitize to NGF and has important implications for inflammatory pain states.
Age related changes in biochemical markers of bone metabolism in horses.

Biochemical markers of bone metabolism were analysed in serum samples obtained from 60 horses with no history of orthopaedic disease (age 3 months-20 years). Serum levels of the carboxyterminal propeptide of type I procollagen (PICP), a marker of bone formation and the pyridinoline cross linked telopeptide domain of type I collagen (ICTP), a putative marker of bone resorption, were measured by radioimmunoassay (RIA). Serum levels of the bone specific isoenzyme of alkaline phosphatase (BALP), another marker of bone formation, were measured by a wheatgerm agglutinin affinity (WGA) method. Total alkaline phosphatase levels were also determined. Serum levels of PICP were significantly correlated with bone ALP (r = 0.78, P < 0.0001) and ICTP (r = 0.87, P < 0.0001). ICTP levels also correlated significantly with bone ALP (r = 0.81, P < 0.0001). However, total alkaline phosphatase did not correlate significantly with PICP, ICTP and BALP in horses over 1 year of age. There was an inverse correlation between serum levels of all biochemical markers and age of animals, with the most significant changes seen over the first 2 years. In animals less than 1 year of age, the reference ranges (mean +/- s.d. 1.96) were as follows: PICP 1216-2666 micrograms/l, ICTP 13.8-26.7 micrograms/l, bone ALP 134-288 u/l and total ALP 223-498 u/l. In 2-year-olds, the equivalent reference ranges were: PICP 550-1472 micrograms/l, ICTP 7.96-22.8 micrograms/l, bone ALP 32.7-125 u/l and total ALP 134-238 u/l. (ABSTRACT TRUNCATED AT 250 WORDS)
What Factors Guide the Selection of Medicinal Plants in a Local Pharmacopoeia? A Case Study in a Rural Community from a Historically Transformed Atlantic Forest Landscape

The criteria that local people use for selecting medicinal plants have been a recurrent topic in pharmacology and ethnobotany. Two of the current hypotheses regarding this phenomenon, ecological apparency and diversification, attempt to explain the inclusion of “apparent” and “non-apparent” and native and exotic taxa, respectively, in local pharmacopoeia. This study addresses the following questions: Do “apparent” and “non-apparent” medicinal plants have the same importance in local pharmacopoeia? Do “non-apparent” plants occupy more local categories of diseases than “apparent” plants? Do native and exotic medicinal plants have the same importance? Do exotic and native plants occupy different local categories of diseases? This study was conducted with householders of a community from Northeastern Brazil. Out of the 66 plant species cited, most were herbs (39 species), followed by trees and shrubs (27). Herbaceous species also occupied more local categories of diseases (51) than tree and shrub species (28). Furthermore, most of the species cited by the informants were exotic (42). Out of the 94 therapeutic applications cited in this research, 65 were treated with exotic species and 29 with native species, distributed among 13 body systems. These results support both the hypotheses of ecological apparency and diversification.
On differentially private low rank approximation

Low rank approximation is a fundamental computational primitive widely used in data analysis. In many applications the dataset that the algorithm operates on may contain sensitive information about contributing individuals (e.g. user/movie ratings in the Netflix challenge), motivating the need to design low rank approximation algorithms that preserve privacy of individual entries of the input matrix. In this paper, we give a polynomial time algorithm that, given a privacy parameter e > 0, for a symmetric matrix A, outputs an e-differentially approximation to the principal eigenvector of A, and then show how this algorithm can be used to obtain a differentially private rank-k approximation. We also provide lower bounds showing that our utility/privacy tradeoff is close to best possible. While there has been significant progress on this problem recently for a weaker notion of privacy, namely (e, δ)-differential privacy [HR12, BBDS12], our result is the first to achieve (e, 0)-differential privacy guarantees with a near-optimal utility/privacy tradeoff in polynomial time.
Preoperative Valsalva leak point pressure may not predict outcome of mid-urethral slings. Analysis from a randomized controlled trial of retropubic versus transobturator mid-urethral slings.

OBJECTIVE To test the hypothesis that preoperative Valsalva leak point pressure (VLPP) predicts long-term outcome of mid-urethra slings for female stress urinary incontinence (SUI). MATERIALS AND METHODS One hundred and forty-five patients with SUI were prospectively randomized to two mid-urethra sling treatments: Tension free vaginal tape (TVT) or transobturator tape (TOT). They were followed-up at 3, 6, 12 months post-operatively and then annually for the primary outcome variable, i.e. dry or wet and secondary outcome variables such as scores on the urogenital distress inventory (UDI-6) and the impact of incontinence on quality of life (IIQ-7) questionnaire as well as patient satisfaction as scored on a visual analogue scale (VAS). Preoperative VLPP was correlated with primary and secondary outcome variables. RESULTS Mean follow-ups were 32 +/- 12 months (range 12-55) for TVT and 31 +/- 15 months (range 12-61) for TOT. When patients were analyzed according to VLPP stratification, 95 (65.5%) patients showed a VLPP > 60 cm H2O and 50 (34.5%) patients had a VLPP < or = 60 cm H2O. The overall objective cure rates were 75.8% for patients with VLPP > 60 cm H2O and 72% for those with VLPP < or = 60 cm H2O (p < 0.619). No significant differences in objective cure rates emerged when patients were stratified for pre-operative VLPP and matched for TOT or TVT procedures: VLPP > 60 cm H2O (82% vs. 68.9% p < 0.172); VLPP < or = 60 cm H2O (68% vs. 76% p < 0.528). CONCLUSIONS When patients were stratified for preoperative VLPP (< or = or > of 60 cm H2O), preoperative VLPP was not linked to outcome after TVT or TOT procedures.
Sapien 3 Transcatheter Aortic Valve Implantation With Moderate or Without Predilation.

OBJECTIVES Aortic valve preparation with balloon aortic valvuloplasty (BAV) has been previously considered mandatory during transcatheter aortic valve implantation (TAVI) procedures. BAV-inherent risks including stroke, conduction abnormalities, and reduced device profile size established the rationale for safe valve deployment without the need for aggressive valve preparation. We investigate the feasibility and safety of performing Sapien 3 (S3; Edwards Lifesciences) balloon-expandable TAVI with moderate or without predilation (PD). METHODS We examined consecutive patients with severe aortic stenosis who underwent S3-TAVI at our institution. Overall, 119 patients underwent TAVI without PD and 126 with moderate PD (mean valvuloplasty balloon diameter, 15.3 ± 2.1 mm). TAVI endpoints and adverse events were considered according to the Valve Academic Research Consortium (VARC)-2 definitions. RESULTS Device success for the entire cohort was 98.8%. PD rates were similar between groups. Total fluoroscopy time and amount of contrast used were lower in the no PD group (13 min vs 16.2 min [P<.001] and 71.3 mL vs 81 mL [P=.03], respectively). All-cause mortality up to 30 days was 0% (0/119) in the no PD group vs 1.6% (2/126) in the moderate PD group (P=.49). VARC-2 defined complication rates at 30 days including cerebrovascular accident were similar between groups. Overall, there was no significant difference in survival rate between both groups (hazard ratio, 3.6; 95% confidence interval, 0.80-16.2; P=.09). CONCLUSIONS Balloon-expandable TAVI using the S3 device with moderate or without balloon PD is feasible and safe. Omission of PD in appropriate cases was associated with reduced fluoroscopy time and total contrast used without affecting procedural success.
Preclinical Evaluation of the α-Particle Generator Nuclide 225Ac for Somatostatin Receptor Radiotherapy of Neuroendocrine Tumors

Purpose: Peptide receptor radionuclide therapy (PRRT) using somatostatin analogues labeled with β-particle–emitting isotopes such as 90Y or 177Lu has been a promising treatment strategy for metastasized neuroendocrine tumors. Although remission can be accomplished in a high percentage of neuroendocrine tumors, some tumors do not respond to this treatment. α-Emitting isotopes—such as the 10-day half-life α-emitting generator nuclide Actinum-225 (225Ac)—are characterized by extremely high cytotoxic activity on the cellular level, and may be superior in the treatment of neuroendocrine tumors not responding to PRRT using β-emitting isotopes. Experimental Design: Radiolabeling of 225Ac 1,4,7,10-tetra-azacylododecane N,N′,N′′,N′′′-J-tetraacetic acid-Tyr3-octreotide (DOTATOC) was done at pH 5 (60 minutes at 70°C) without further purification. Biodistribution in nude mice bearing AR42J rat pancreas neuroendocrine tumor xenografts were measured for up to 24 hours. Toxicity was tested by weight changes, retention variables (blood urea nitrogen and creatine), and histopathology in mice 7 months after treatment with 10 to 130 kBq (n = 4-5). Therapeutic efficacy was assessed by tumor weighing in animals treated 4 days after xenotransplantation and compared with 177Lu-DOTATOC as a reference. Results: Activities up to 20 kBq had no significant toxic effects in mice. In contrast, activities higher than 30 kBq induced tubular necrosis. Biodistribution studies revealed that 225Ac-DOTATOC effectively accumulated in neuroendocrine xenograft tumors. 225Ac-DOTATOC activities were shown to be nontoxic (12-20 kBq), reduced the growth of neuroendocrine tumors, and showed improved efficacy compared with 177Lu-DOTATOC. Conclusions:225Ac might be suitable to improve PRRT in neuroendocrine tumors.