Miracle-dz/UniFAR-FTUs huggingface dataset:
Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera

Image-based tracking of animals in their natural habitats can provide rich behavioural data, but is very challenging due to complex and dynamic background and target appearances. We present an effective method to recover the positions of terrestrial animals in cluttered environments from video sequences filmed using a freely moving monocular camera. The method uses residual motion cues to detect the targets and is thus robust to different lighting conditions and requires no a-priori appearance model of the animal or environment. The detection is globally optimised based on an inference problem formulation using factor graphs. This handles ambiguities such as occlusions and intersections and provides automatic initialisation. Furthermore, this formulation allows a seamless integration of occasional user input for the most difficult situations, so that the effect of a few manual position estimates are smoothly distributed over long sequences. Testing our system against a benchmark dataset featuring small targets in natural scenes, we obtain 96% accuracy for fully automated tracking. We also demonstrate reliable tracking in a new data set that includes different targets (insects, vertebrates or artificial objects) in a variety of environments (desert, jungle, meadows, urban) using different imaging devices (day / night vision cameras, smart phones) and modalities (stationary, hand-held, drone operated).
Experienced and anticipated discrimination reported by individuals in treatment for substance use disorders within the Netherlands.

Experiences and expectations of discrimination (anticipated discrimination) may delay treatment seeking among people with substance use disorders. In addition, experienced and anticipated discrimination can be a barrier to successful recovery and rehabilitation. The aim of this study was to study the level of experienced and anticipated (the expectation to be rejected) discrimination among individuals in treatment for substance use disorders as well as the association between both concepts of discrimination. In addition, the association of experienced and anticipated discrimination with clinical and social characteristics was investigated. A cross-sectional survey among individuals in treatment for substance use disorders in the Netherlands was carried out in 2012. Individuals in treatment (N = 186) completed a self-reported questionnaire about experienced and anticipated discrimination. Descriptive statistics and chi-squared analyses were performed to investigate the level of experienced and anticipated discrimination and the association between both concepts. Linear regression analyses were used to investigate the association with clinical and social characteristics, such as occupational status and type of treatment. Individuals in treatment for substance use disorders reported high levels of experienced and anticipated discrimination. Respondents experienced most discrimination in family ties, intimate relationships and friendships. Experienced and anticipated discrimination were both positively correlated. Having complex substance use problems and a longer history of substance use problems was related to higher levels of experienced discrimination. In conclusion, experienced and anticipated discrimination were highly prevalent among individuals in treatment for substance use disorders. Attention in addiction treatment for adequate coping with discrimination may be needed in order to achieve successful social participation and rehabilitation of these individuals.
COMPARATIVE STUDY ON HEAVY METAL CHARACTERISTICS OF LEACHATE FROM MUNICIPAL SOLID WASTE IN CENTRAL INDIA

Rapid urbanization and population growth are largely responsible for very high increasing rate of solid waste in the urban areas, its proper management and recycling is major problems of Municipal Corporation. The analytical analysis revealed that the leachate show high concentration of heavy metals viz., Pb, Zn, Fe, Mn and Cu. However, their high concentration in municipal solid waste leachate may cause contaminants for environmental pollution. Therefore, present investigation deals with analyze the heavy metals concentration in municipal solid waste leachate.
Prevalence, clinical features and risk assessment of pre-diabetes in Spain: the prospective Mollerussa cohort study

Purpose The Mollerussa prospective cohort was created to study pre-diabetes in a population-based sample from the primary care setting in the semirural area of Pla d’Urgell in Catalonia (Spain). The aims of the study were to assess the prevalence of pre-diabetes in our population, the likelihood to develop overt diabetes over time and to identify risk factors associated with the progression of the condition. Participants The cohort includes 594 subjects randomly selected between March 2011 and July 2014 from our primary care population, who were older than 25 years, consented to participate and did not have a recorded diagnosis of diabetes. Findings to date At baseline, we performed a clinical interview to collect demographic, clinical and lifestyle (including a nutritional survey) characteristics; carotid ultrasound imaging to assess subclinical cardiovascular disease was also performed, and a blood sample was collected, with an overall <5% rate of missing data. An additional blood draw was performed 12 months after initial recruitment to reassess laboratory results in patients initially identified as having pre-diabetes, with an 89.6% retention rate. Several studies investigating various hypotheses are currently ongoing. Future plans All subjects recruited during the cohort creation will be followed long-term through annual extraction of data from health records stored in the electronic Clinical station in Primary Care database. The Mollerussa cohort will thus be a sound population-based sample for multiple future research projects to generate insights into the epidemiology and natural history of pre-diabetes in Spain.
Practice Bulletin No 156: Obesity in Pregnancy

Maternal obesity is becoming an increasingly prevalent condition. Women entering pregnancy with a body mass index (BMI) ≥ 30 kg/m2 face higher rates of maternal and fetal complications as a result of their obesity. Additionally, obese patients may have concomitant comorbidities that further increase pregnancy risks. Patients and their physicians must be aware of the risks faced in pregnancy and outline a plan of care including counseling, antepartum, intrapartum, and postpartum care in order to lower the risks as much as possible. In this chapter, we describe the epidemiology of maternal obesity, identify the metabolic changes seen in pregnancy, and detail the anticipated maternal, fetal, and obstetric risks. Finally, we examine the existing evidence surrounding pregnancy management, and delineate evidence-based guidelines for this patient population in order to decrease morbidity.
Clinical and cost-effectiveness of home-based cardiac rehabilitation compared to conventional, centre-based cardiac rehabilitation: Results of the FIT@Home study

Aim Although cardiac rehabilitation improves physical fitness after a cardiac event, many eligible patients do not participate in cardiac rehabilitation and the beneficial effects of cardiac rehabilitation are often not maintained over time. Home-based training with telemonitoring guidance could improve participation rates and enhance long-term effectiveness. Methods and results We randomised 90 low-to-moderate cardiac risk patients entering cardiac rehabilitation to three months of either home-based training with telemonitoring guidance or centre-based training. Although training adherence was similar between groups, satisfaction was higher in the home-based group (p = 0.02). Physical fitness improved at discharge (p < 0.01) and at one-year follow-up (p < 0.01) in both groups, without differences between groups (home-based p = 0.31 and centre-based p = 0.87). Physical activity levels did not change during the one-year study period (centre-based p = 0.38, home-based p = 0.80). Healthcare costs were statistically non-significantly lower in the home-based group (€437 per patient, 95% confidence interval –562 to 1436, p = 0.39). From a societal perspective, a statistically non-significant difference of €3160 per patient in favour of the home-based group was found (95% confidence interval –460 to 6780, p = 0.09) and the probability that it was more cost-effective varied between 97% and 75% (willingness-to-pay of €0 and €100,000 per quality-adjusted life-years, respectively). Conclusion We found no differences between home-based training with telemonitoring guidance and centre-based training on physical fitness, physical activity level or health-related quality of life. However, home-based training was associated with a higher patient satisfaction and appears to be more cost-effective than centre-based training. We conclude that home-based training with telemonitoring guidance can be used as an alternative to centre-based training for low-to-moderate cardiac risk patients entering cardiac rehabilitation.
Density and population viability of coastal marten: a rare and geographically isolated small carnivore

Pacific martens (Martes caurina humboldtensis) in coastal forests of Oregon and northern California in the United States are rare and geographically isolated, prompting a petition for listing under the Endangered Species Act. If listed, regulations have the potential to influence land-use decisions on public and private lands, but no estimates of population size, density, or viability of remnant marten populations are available for evaluating their conservation status. We used GPS and VHF telemetry and spatial mark-resight to estimate home ranges, density, and population size of Pacific martens in the Oregon Dunes National Recreation Area, central coast Oregon, USA. We then estimated population viability at differing levels of human-caused mortality (e.g., vehicle mortality). Marten home ranges were small on average (females = 0.8 km2, males 1.5 km2) and density (1.13 martens/1 km2) was the highest reported for North American populations (M. caurina, M. americana). We estimated 71 adult martens (95% CRI [41–87]) across two subpopulations separated by a large barrier (Umpqua River). Using population viability analysis, extinction risk for a subpopulation of 30 martens, approximately the size of the subpopulation south of the Umpqua River, ranged from 32% to 99% with two or three annual human-caused mortalities within 30 years. Absent population expansion, limiting human-caused mortalities will likely have the greatest conservation impact.
Curcumin Requires Tumor Necrosis Factor α Signaling to Alleviate Cognitive Impairment Elicited by Lipopolysaccharide

A decline in cognitive ability is a typical feature of the normal aging process, and of neurodegenerative disorders such as Alzheimer's, Parkinson's and Huntington's diseases. Although their etiologies differ, all of these disorders involve local activation of innate immune pathways and associated inflammatory cytokines. However, clinical trials of anti-inflammatory agents in neurodegenerative disorders have been disappointing, and it is therefore necessary to better understand the complex roles of the inflammatory process in neurological dysfunction. The dietary phytochemical curcumin can exert anti-inflammatory, antioxidant and neuroprotective actions. Here we provide evidence that curcumin ameliorates cognitive deficits associated with activation of the innate immune response by mechanisms requiring functional tumor necrosis factor α receptor 2 (TNFR2) signaling. In vivo, the ability of curcumin to counteract hippocampus-dependent spatial memory deficits, to stimulate neuroprotective mechanisms such as upregulation of BDNF, to decrease glutaminase levels, and to modulate N-methyl-D-aspartate receptor levels was absent in mice lacking functional TNFRs. Curcumin treatment protected cultured neurons against glutamate-induced excitotoxicity by a mechanism requiring TNFR2 activation. Our results suggest the possibility that therapeutic approaches against cognitive decline designed to selectively enhance TNFR2 signaling are likely to be more beneficial than the use of anti-inflammatory drugs per se.
Extrusion-based additive manufacturing of PEEK for biomedical applications

ABSTRACT There has been a trend in recent years to develop polyetheretherketone (PEEK)-based medical devices due to the excellent cell biocompatibility and desirable mechanical properties of PEEK, which has elastic modulus comparable to cortical bone. Different manufacturing techniques such as injection moulding, particulate leaching, compression moulding, and selective laser sintering (SLS) have been used to produce porous PEEK for biomedical applications. Despite a large number of publications on extrusion-based additive manufacturing (AM) of porous structures using various materials, there have been very few general reports on extrusion AM of low quality small PEEK parts without defects such as warpage and delamination and no further assessment of mechanical properties. Successful low-cost 3D printing of PEEK structures using filament-based extrusion AM process is reported in this paper for the first time. Hot extrusion head design, extrusion temperature, and ambient temperature were identified as important factors need to be taken into consideration for printing PEEK structures without warpage, delamination, and polymer degradation. Compression and tensile tests were conducted to investigate mechanical properties of these new 3D printed PEEK structures. The air gap between infill pattern and entrapped micro-bubbles inside filaments were identified as the main source of mechanical properties reduction. In addition, three-point flexural test was performed on the 3D printed PEEK and compared with flexural specimens printed using other AM materials and techniques.
Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data

In this study, we address the question whether (and to what extent, respectively) altmetrics are related to the scientific quality of papers (as measured by peer assessments). Only a few studies have previously investigated the relationship between altmetrics and assessments by peers. In the first step, we analyse the underlying dimensions of measurement for traditional metrics (citation counts) and altmetrics–by using principal component analysis (PCA) and factor analysis (FA). In the second step, we test the relationship between the dimensions and quality of papers (as measured by the post-publication peer-review system of F1000Prime assessments)–using regression analysis. The results of the PCA and FA show that altmetrics operate along different dimensions, whereas Mendeley counts are related to citation counts, and tweets form a separate dimension. The results of the regression analysis indicate that citation-based metrics and readership counts are significantly more related to quality, than tweets. This result on the one hand questions the use of Twitter counts for research evaluation purposes and on the other hand indicates potential use of Mendeley reader counts.
Sigma Receptor (σR) Ligands with Antiproliferative and Anticancer Activity

Sigma receptor (σR) ligands have proven to be useful as cancer diagnostics and anticancer therapeutics and their ligands have been developed as molecular probes in oncology. Moreover, various σR ligands generate cancer cell death in vitro and in vivo. These σR ligands have exhibited promising results against numerous human and rodent cancers and are investigated under preclinical and clinical study trials, indicating a new category of drugs in cancer therapy.
Capturing Compositional Variation in Denitrifying Communities: a Multiple-Primer Approach That Includes Epsilonproteobacteria

ABSTRACT Denitrifying Epsilonproteobacteria may dominate nitrogen loss processes in marine habitats with intense redox gradients, but assessment of their importance is limited by the currently available primers for nitrite reductase genes. Nine new primers targeting the nirS gene of denitrifying Epsilonproteobacteria were designed and tested for use in sequencing and quantitative PCR on two microbial mat samples (vent 2 and vent 4) from the Calypso hydrothermal vent field, Bay of Plenty, New Zealand. Commonly used nirS and nirK primer sets nirS1F/nirS6R, cd3aF/R3cd, nirK1F/nirK5R, and F1aCu/R3Cu were also tested to determine what may be missed by the common single-primer approach to assessing denitrifier diversity. The relative importance of Epsilonproteobacteria in these samples was evaluated by 16S rRNA gene sequencing. Epsilonproteobacteria represented up to 75.6% of 16S rRNA libraries, but nirS genes from this group were not found with commonly used primers. Pairing of the new primer EPSnirS511F with either EPSnirS1100R or EPSnirS1105R recovered nirS sequences from members of the genera Sulfurimonas, Sulfurovum, and Nitratifractor. The new quantitative PCR primers EPSnirS103F/EPSnirS530R showed dominance of denitrifying Epsilonproteobacteria in vent 4 compared to vent 2, which had greater representation by “standard” denitrifiers measured with the cd3aF/R3cd primers. Limited results from commonly used nirK primers suggest biased amplification between primers. Future application of multiple nirS and nirK primers, including the new epsilonproteobacterial nirS primers, will improve the detection of denitrifier diversity and the capability to identify changes in dominant denitrifying communities. IMPORTANCE Estimating the potential for increasing nitrogen limitation in the changing global ocean is reliant on understanding the microbial community that removes nitrogen through the process of denitrification. This process is favored under oxygen limitation, which is a growing global-ocean phenomenon. Current methods use the nitrite reductase genes nirS and nirK to assess denitrifier diversity and abundance using primers that target only a few known denitrifiers and systematically exclude denitrifying Epsilonproteobacteria, a group known to dominate in reducing environments, such as hydrothermal vents and anoxic basins. As oxygen depletion expands in the oceans, it is important to study denitrifier community dynamics within those areas to predict future global ocean changes. This study explores the design and testing of new primers that target epsilonproteobacterial nirS and reveals the varied success of existing primers, leading to the recommendation of a multiple-primer approach to assessing denitrifier diversity.
Impaired N‐linked glycosylation of uptake and efflux transporters in human non‐alcoholic fatty liver disease

N‐linked glycosylation of proteins is critical for proper protein folding and trafficking to the plasma membrane. Drug transporters are one class of proteins that have reduced function when glycosylation is impaired. N‐linked glycosylation of plasma proteins has also been investigated as a biomarker for several liver diseases, including non‐alcoholic fatty liver disease (NAFLD). The purpose of this study was to assess the transcriptomic expression of genes involved in protein processing and glycosylation, and to determine the glycosylation status of key drug transporters during human NAFLD progression.
Efficacy, safety and tolerability of linezolid for the treatment of XDR-TB: a study in China

Heterogeneity amongst cohorts of patients treated for drug-resistant tuberculosis (TB) make assessing the efficacy of new drugs and regimens unreliable without randomisation [1]. We warmly welcome the randomised controlled trial (RCT) “Efficacy, safety and tolerability of linezolid for the treatment of XDR-TB: a study in China” presented by Tang et al. [2]. Linezolid is now included on the WHO list of essential medicines [3] and falling prices will improve access. That Tang et al. [2] report a 35.3% absolute reduction in the risk of a poor outcome by adding linezolid to an optimised background regimen argues in favour of wider use. Linezolid remains a WHO “Group 5” drug, classifying it as an “anti-TB drug with limited data on efficacy and/or long term safety in the treatment of [drug-resistant]-TB” [4]. The limited data on the efficacy of drugs in this class has recently been reviewed [5]. These WHO classifications may shortly be revised and the exciting results from this study have the potential to alter guidance regarding the treatment of extensively drug-resistant (XDR) TB. We note the proposal to re-classify linezolid into Group 3 in an editorial in the October edition of the European Respiratory Journal [6]. It is with this in mind that we seek some clarifications. Response to the interesting RCT on linezolid for XDR-TB and request for information which may impact new guidelines http://ow.ly/Z1dX5
Detecting Smiles of Young Children via Deep Transfer Learning

Smile detection is an interesting topic in computer vision and has received increasing attention in recent years. However, the challenge caused by age variations has not been sufficiently focused on before. In this paper, we first highlight the impact of the discrepancy between infants and adults in a quantitative way on a newly collected database. We then formulate this issue as an unsupervised domain adaptation problem and present the solution of deep transfer learning, which applies the state of the art transfer learning methods, namely Deep Adaptation Networks (DAN) and Joint Adaptation Network (JAN), to two baseline deep models, i.e. AlexNet and ResNet. Thanks to DAN and JAN, the knowledge learned by deep models from adults can be transferred to infants, where very limited labeled data are available for training. Cross-dataset experiments are conducted and the results evidently demonstrate the effectiveness of the proposed approach to smile detection across such an age gap.