Miracle-dz/UniFAR-FTUs huggingface dataset:
Topical antifungal treatment prevents recurrence of toenail onychomycosis following cure

Recurrence rates are high for onychomycosis, with prophylactic topical antifungal use proposed to counter recurrence. Although this is a reasonable action for many clinicians, few studies have been conducted on the efficacy of topical prophylaxis. A retrospective chart review (2010–2015) was conducted in patients receiving oral terbinafine or itraconazole for toenail onychomycosis. Following complete cure, a topical antifungal (amorolfine, bifonazole, ciclopirox olamine, or terbinafine spray) was used weekly as prophylaxis. Recurrence was recorded along with patient characteristics including demographics and concomitant medical conditions. Data from 320 patients were collected. Recurrence was significantly lower in patients receiving topical antifungal prophylaxis than in no prophylactic treatment following oral terbinafine (p < .001), but not itraconazole (p = .185). Regardless of oral treatment, the use of topical antifungals as prophylaxis (p < .001) decreased, and the number of affected toenails (p = .048) and family history of fungal infections (p < .001) increased the likelihood that recurrence would occur. This study supports the use of topical antifungal medications as prophylactic treatment to help prevent recurrence of toenail onychomycosis and suggests that those with a family history of fungal infections should be closely monitored.
Human Movement Is Both Diffusive and Directed

Understanding the influence of the built environment on human movement requires quantifying spatial structure in a general sense. Because of the difficulty of this task, studies of movement dynamics often ignore spatial heterogeneity and treat movement through journey lengths or distances alone. This study analyses public bicycle data from central London to reveal that, although journey distances, directions, and frequencies of occurrence are spatially variable, their relative spatial patterns remain largely constant, suggesting the influence of a fixed spatial template. A method is presented to describe this underlying space in terms of the relative orientation of movements toward, away from, and around locations of geographical or cultural significance. This produces two fields: one of convergence and one of divergence, which are able to accurately reconstruct the observed spatial variations in movement. These two fields also reveal categorical distinctions between shorter journeys merely serving diffusion away from significant locations, and longer journeys intentionally serving transport between spatially distinct centres of collective importance. Collective patterns of human movement are thus revealed to arise from a combination of both diffusive and directed movement, with aggregate statistics such as mean travel distances primarily determined by relative numbers of these two kinds of journeys.
Mycobacterium tuberculosis: Telling a Story of Truths

Mycobacterium tuberculosis is a lung disease which is extremely fatal if one acquires it in the air and fails to acknowledge and treat it immediately. There are currently numerous studies that are being carried out to develop new drugs to treat the disease as well as new technologies to improve present testing methods. This essay is unique in that it tell a very informative story about tuberculosis and looks at what still needs to be achieved in order to treat patients and thus prevent public and/or hospital-aquired transmissions.
Ree mobility and tetrad effects in bauxites an example from the Kanisheeteh deposit, NW Iran

The Kanisheeteh bauxite deposit (NW Iran) is located on the Irano-Himalaya karst bauxite belt and was developed as stratiform horizon along the contact of the Permian and Triassic Formations. Based on absolute weathering index (AWI), HREE were leached out, whereas LREE suffered both leaching and fixation during bauxitization. The non-CHARAC characteristic of Y/Ho ratios can be attributed to geochemically known phenomenon as the "tetrad effect". The simultaneous convex and concave curves of the tetrad effect were observed in the chondritenormalized REE patterns of the bauxite ores. The correlation between the sizes of T4 and AWI% values revealed two separate populations. The first one is characterized by a wide variation in sizes of T4 and very narrow AWI% values, and is thought to be related to acidic zone of the profile. In contrast, the second one is marked by a narrow variation in sizes of T4 and wide variation in AWI% values, and is conceived to be affiliated to alkaline zone of the profile. In this research, the tetrad effect proved to be capable of clarifying the geochemical characteristics of the deposit and can be applied as a good geochemical index to investigate the prevailed paleoconditions of depositional environments. ARTICLE INFO
A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space

There can be a complicated mapping relation between decision variables and objective functions in multi-objective optimization problems (MOPs). It is uncommon that decision variables influence objective functions equally. Decision variables act differently in different objective functions. Hence, often, the mapping relation is unbalanced, which causes some redundancy during the search in a decision space. In response to this scenario, we propose a novel memetic (multi-objective) optimization strategy based on dimension reduction in decision space (DRMOS). DRMOS firstly analyzes the mapping relation between decision variables and objective functions. Then, it reduces the dimension of the search space by dividing the decision space into several subspaces according to the obtained relation. Finally, it improves the population by the memetic local search strategies in these decision subspaces separately. Further, DRMOS has good portability to other multi-objective evolutionary algorithms (MOEAs); that is, it is easily compatible with existing MOEAs. In order to evaluate its performance, we embed DRMOS in several state of the art MOEAs to facilitate our experiments. The results show that DRMOS has the advantage in terms of convergence speed, diversity maintenance, and portability when solving MOPs with an unbalanced mapping relation between decision variables and objective functions.
Nonforcible Internet-Related Sex Crimes With Adolescent Victims: Prosecution Issues and Outcomes

Law enforcement officials and the public are said to hold the stereotype that it is difficult to prosecute cases involving nonforcible sex crimes with willing adolescent victims. The authors examine prosecution outcomes in nonforcible Internet-related sex crimes with adolescent victims and extra-familial adult defendants. Data are from a national sample of law enforcement officers and prosecutors (N = 77). Most (91%) of the defendants are convicted, usually via a guilty plea (77%). Results show that even when victim cooperation is lacking or victims willingly engage in sexual activity, defendants are convicted. A small group of defendants are not convicted, and certain conditions appear to contribute to this, including victims’ untruthfulness, defendants giving victims illegal drugs or alcohol, and lack of a confession from the defendant. Most defendants, however, are sentenced to incarceration and required to register as sex offenders. The findings show promise for holding defendants accountable for this type of crime.
Mechanisms of neisserial serum resistance

Pathogenic Neisseria use a variety of mechanisms to survive the bactericidal action of the complement system. Serum resistance is a crucial virulence factor for the development of severe meningococcal disease, meningococcal meningitis and disseminated gonococcal infection. Furthermore, local inflammation at the site of gonococcal infection exposes the bacteria to moderate concentrations of complement factors. We review current concepts of neisserial serum resistance with emphasis on porins and polysaccharides exposed on the neisserial surface and their interaction with components of normal human serum.
Land use change, agricultural markets and the environment

Land use change is estimated to have generated 17% of anthropogenic greenhouse gas emissions in the 2000s, a large part coming from deforestation. The main driver of these emissions is expansion of agricultural activities, for the need of local development in tropical regions. However, they have also been caused by the dynamics of globalisation which has stimulated agricultural trade flows. Thus, today, there are new concerns with respect to how agricultural policies are influencing land use changes in other parts of the world through international market responses. In this work I consider three concrete illustrations of where these effects can be of significant magnitude: i) agriculture intensification in developing countries, ii) trade agreements, and iii) biofuel policies. I find that for each of these policies, market responses are likely to play a significant role in the final greenhouse gas emission balance. Mitigation of emissions through agricultural intensification could have quite beneficial outcomes, but the rebound effect on the demand side would offset a large part of greenhouse gas emission savings attributable to the land sparing effect. With the example of a possible EU-MERCOSUR trade agreement, I also show the adverse effect of liberalising certain specific agricultural products closely connected to land use change dynamics without adequate accompanying measures. Last, the indirect land use change effect of biofuels is likely to offset a large part of their alleged GHG emission savings. Land use change responses depend on many behavioural parameters, however, and providing precise estimates constitutes a challenge. I use different modelling approaches to quantify their magnitude and extensively explore the level of confidence on the basis of current state of econometric findings.New approaches should be elaborated to take account of this externality in public policy assessments, together with an appropriate consideration of the uncertainty ranges associated with these effects.
Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies

Circulating, cell-free microRNAs (miRNAs) hold great promise as a new class of cancer biomarkers due to their surprisingly high stability in plasma, association with disease states, and ease of sensitive measurement. Yet little is known about the origin of circulating miRNAs in either healthy or sick people or what factors influence levels of circulating miRNA biomarkers. Of 79 solid tumor circulating miRNA biomarkers reported in the literature, we found that 58% (46 of 79) are highly expressed in one or more blood cell type. Plasma levels of miRNA biomarkers expressed by myeloid (e.g., miR-223, miR-197, miR-574-3p, and let-7a) and lymphoid (e.g., miR-150) blood cells tightly correlated with corresponding white blood cell counts. Plasma miRNA biomarkers expressed by red blood cells (e.g., miR-486-5p, miR-451, miR-92a, and miR-16) could not be correlated to red cell counts due to limited variation in hematocrit in the cohort studied but were significantly increased in hemolyzed specimens (20- to 30-fold plasma increase; P < 0.0000001). Finally, in a patient undergoing autologous hematopoietic cell transplantation, plasma levels of myeloid- and lymphoid-expressed miRNAs (miR-223 and miR-150, respectively) tracked closely with changes in corresponding blood counts. We present evidence that blood cells are a major contributor to circulating miRNA and that perturbations in blood cell counts and hemolysis can alter plasma miRNA biomarker levels by up to 50-fold. Given that a majority of reported circulating miRNA cancer biomarkers are highly expressed in blood cells, we suggest caution in interpretation of such results as they may reflect a blood cell-based phenomenon rather than a cancer-specific origin. Cancer Prev Res; 5(3); 492–7. ©2011 AACR.
Fast R-CNN

This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efﬁciently classify object proposals using deep convolutional networks. Compared to previous work, Fast R-CNN employs several innovations to improve training and testing speed while also increasing detection accuracy. Fast R-CNN trains the very deep VGG16 network 9 × faster than R-CNN, is 213 × faster at test-time, and achieves a higher mAP on PASCAL VOC 2012. Compared to SPPnet, Fast R-CNN trains VGG16 3 × faster, tests 10 × faster, and is more accurate. Fast R-CNN is implemented in Python and C++ (using Caffe) and is available under the open-source MIT License at https: //github.com/rbgirshick/fast-rcnn .
Antimicrobial Susceptibility Patterns of Coryneform Bacteria Isolated from Semen

Background: The susceptibility of coryneform bacteria has been studied mostly in invasive pathogens, less data are available concerning the mucosal or physiological fluid strains. At the same time they can serve as the source of vari- ous infections, besides the invasive infections also the local ones, for example, coryneforms of male genital tract have been associated with inflammatory prostatitis. Material and Methods: A total of 62 coryneform isolates from human semen were tested for susceptibility to eight antimi- crobial agents using the E test method. Results: All strains were susceptible to ampicillin-sulbactam and only a few were resistant to penicillin G and TMP/SMX while nearly one third of strains were resistant or intermediate to doxycycline (35%) and norfloxacin (29%), and more than half to clindamycin (63%), nitrofurantoin (62%) and erythromycin (53%). The strains showing resistance to at least 3 antimicrobials belonged to Corynebacterium group F1, Corynebacterium seminale and Cellulomonas/Microbacterium sp. A distinct co-occurring macrolide and lincosamine resistance pattern was common. Conclusion: Ampicillin-sulbactam, penicillin G and TMP/SMX revealed the highest activity against coryneforms isolated from semen that were frequently resistant or intermediate to several other antimicrobials. Norfloxacin revealed only mod- erate activity against prostatitis-associated Corynebacterium group G.
Heptanol decreases the incidence of ischemia-induced ventricular arrhythmias through altering electrophysiological properties and connexin 43 in rat hearts

Heptanol is a type of gap junction inhibitor that decreases electrical conduction velocity. However, little is known regarding the effects of heptanol on the arrhythmias induced by regional myocardial ischemia. This study aimed to investigate the effects of heptanol on ventricular arrhythmias and the underlying mechanisms. On the Langendorff apparatus, isolated hearts of Sprague-Dawley rats underwent 30 min of ischemia, with or without pretreatment with heptanol (0.1, 0.3 or 0.5 mM), 15 min prior to the induction of regional ischemia through ligation of the left anterior descending coronary artery. The incidence of ventricular tachycardia (VT) and ventricular fibrillation (VF) were recorded after ligation. Heptanol decreased the incidence of ventricular arrhythmias (45% in the control group vs. 10% in the 0.1 mM group, 0% in the 0.3 mM group and 0% in the 0.5 mM group, P<0.05), whereas it prolonged the PR interval, QT interval and monophasic action potential duration at 90% repolarization (MAPD90). As evaluated with immunofluorescence microscopy, heptanol was able to partly reverse the downregulation of connexin 43 (Cx43) induced by ischemia. The results of the reverse transcription-polymerase chain reaction were consistent with those of immunofluorescence. In conclusion, heptanol significantly decreased the incidence of VT and VF induced by regional ischemia and prolonged the PR interval, QT interval and MAPD90. Heptanol also partly reversed the downregulation of Cx43 induced by ischemia.
Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

The principles by which networks of neurons compute, and how spike-timing dependent plasticity (STDP) of synaptic weights generates and maintains their computational function, are unknown. Preceding work has shown that soft winner-take-all (WTA) circuits, where pyramidal neurons inhibit each other via interneurons, are a common motif of cortical microcircuits. We show through theoretical analysis and computer simulations that Bayesian computation is induced in these network motifs through STDP in combination with activity-dependent changes in the excitability of neurons. The fundamental components of this emergent Bayesian computation are priors that result from adaptation of neuronal excitability and implicit generative models for hidden causes that are created in the synaptic weights through STDP. In fact, a surprising result is that STDP is able to approximate a powerful principle for fitting such implicit generative models to high-dimensional spike inputs: Expectation Maximization. Our results suggest that the experimentally observed spontaneous activity and trial-to-trial variability of cortical neurons are essential features of their information processing capability, since their functional role is to represent probability distributions rather than static neural codes. Furthermore it suggests networks of Bayesian computation modules as a new model for distributed information processing in the cortex.
Technology-Driven, Highly-Scalable Dragonfly Topology

Evolving technology and increasing pin-bandwidth motivate the use of high-radix routers to reduce the diameter, latency, and cost of interconnection networks. High-radix networks, however, require longer cables than their low-radix counterparts. Because cables dominate network cost, the number of cables, and particularly the number of long, global cables should be minimized to realize an efficient network. In this paper, we introduce the dragonfly topology which uses a group of high-radix routers as a virtual router to increase the effective radix of the network. With this organization, each minimally routed packet traverses at most one global channel. By reducing global channels, a dragonfly reduces cost by 20% compared to a flattened butterfly and by 52% compared to a folded Clos network in configurations with ges 16K nodes.We also introduce two new variants of global adaptive routing that enable load-balanced routing in the dragonfly. Each router in a dragonfly must make an adaptive routing decision based on the state of a global channel connected to a different router. Because of the indirect nature of this routing decision, conventional adaptive routing algorithms give degraded performance. We introduce the use of selective virtual-channel discrimination and the use of credit round-trip latency to both sense and signal channel congestion. The combination of these two methods gives throughput and latency that approaches that of an ideal adaptive routing algorithm.
WBI Studies

Simple Summary: The popularity of various breeds of dog and, by extension, the ancestors of at least a portion of the crossbred population varies over time. As pedigree dogs tend to exhibit breed-speciﬁc behaviour, the loads of both adaptive and less adaptive canine behaviours within society might also be expected to vary with trends in popularity, assuming that a breed in decline is not always replaced by increasing demand for a new similarly tempered breed. Using average breed behaviours from a large online survey of dog behaviour, we organised 82 pedigree breeds into six clusters and tracked the absolute and relative numbers of American Kennel Club registrations of breeds in these behaviour clusters in 1926–2005. Our data show that there is lability in the demand for breeds of the six behavioural clusters over time. Regardless of whether behavioural differences are causative of changes in demand or merely a consequence of it, changes in the types of behaviour in the pedigree population have implications for urban planning, the demand for dog training and veterinary behavioural services and the nature of human–canine interactions.
Interference cancellation and energy harvesting techniques for cooperative spectrum sharing cognitive radio systems

With the exponential increase in wireless applications, there arises the need to utilize the spectrum more efficiently. Cooperative spectrum sharing (CSS) schemes have been proposed as a viable framework for cognitive radio where, an unlicensed (secondary) user can access the spectrum of licensed (primary) user, on the condition that unlicensed user will help the licensed user in achieving the target rate of communication. While sharing the spectrum, primary user always has higher priority. In the proposed work, a two phase CSS scheme is proposed, where secondary’s transmitter equipped with multiple antennas uses transmit antenna selection to improve the primary’s performance by reducing the interference level of secondary signal at primary receiver. Moreover, a three phase interference cancellation CSS scheme using STBC (Space time block code) is also proposed. It has been shown that the proposed scheme helps in achieving diversity gain of three and two for primary and secondary system respectively. Apart from above, we have also proposed a novel approach to solve the power issues in secondary user by utilizing technique such as RF (radio frequency) energy harvesting. Specifically, we have shown that significant performance gains can be obtained for both primary and secondary user by using RF energy harvesting.
Service evaluation of the GOALS family-based childhood obesity treatment intervention during the first 3 years of implementation

Objectives To evaluate the impact of the GOALS (Getting Our Active Lifestyles Started) family-based childhood obesity treatment intervention during the first 3 years of implementation. Design Single-group repeated measures with qualitative questionnaires. Setting Community venues in a socioeconomically deprived, urban location in the North-West of England. Participants 70 overweight or obese children (mean age 10.5 years, 46% boys) and their parents/carers who completed GOALS between September 2006 and March 2009. Interventions GOALS was a childhood obesity treatment intervention that drew on social cognitive theory to promote whole family lifestyle change. Sessions covered physical activity (PA), diet and behaviour change over 18 2 h weekly group sessions (lasting approximately 6 months). A Template for Intervention Description and Replication (TIDieR) checklist of intervention components is provided. Primary and secondary outcome measures The primary outcome measure was child body mass index (BMI) z-score, collected at baseline, post-intervention and 12 months. Secondary outcome measures were child self-perceptions, parent/carer BMI and qualitative changes in family diet and PA (parent/carer questionnaire). Results Child BMI z-score reduced by 0.07 from baseline to post-intervention (p<0.001) and was maintained at 12 months (p<0.05). There was no change in parent/carer BMI or child self-perceptions, other than an increase in perceived social acceptance from baseline to post-intervention (p<0.05). Parents/carers reported positive changes to family PA and dietary behaviours after completing GOALS. Conclusions GOALS completion was associated with small improvements in child BMI z-score and improved family PA and dietary behaviours. Several intervention modifications were necessary during the implementation period and it is suggested childhood obesity treatment interventions need time to embed before a definitive evaluation is conducted. Researchers are urged to use the TIDieR checklist to ensure transparent reporting of interventions and facilitate the translation of evidence to practice.