Miracle-dz/UniFAR-FTUs huggingface dataset:
Association Between Recent Overnight Travel and Risk of Malaria: A Prospective Cohort Study at 3 Sites in Uganda

Background Human movement can undermine malaria control efforts. However, understanding of the association between travel and malaria infection in Africa is limited. We evaluated the association between recent overnight travel and malaria incidence in Uganda. Methods All children aged 0.5-10 years and 1 adult living in 266 randomly selected households within 3 different regions of Uganda were followed up prospectively. Information on overnight travel was collected in 2015-2016. Malaria, defined as fever with parasites detected by microscopy, was measured using passive surveillance. Results At least 1 overnight trip was reported by 64 of 275 (23.3%) participants in Walukuba, 37 of 317 (11.7%) in Nagongera, and 19 of 314 (6.1%) in Kihihi. Among individuals who traveled, the incidence of malaria was higher in the first 60 days after traveling, compared with periods without recent travel at all 3 sites (overall, 1.15 vs 0.33 episodes per person-year; incidence rate ratio, 3.53; 95% confidence interval, 1.85-6.73; P < .001). Risk factors for malaria within 60 days after overnight travel included young age (19.5% in children vs 4.9% in adults; odds ratio, 5.29; 95% confidence interval, 1.34-21.0; P = .02) and not using an insecticide-treated net during travel (18.0% for no use vs 4.1% for any use; 5.10; 1.07-24.5; P = .04). Conclusions Recent overnight travel was associated with a higher incidence of malaria. Individuals who travel may represent a high-risk group that could be targeted for malaria control interventions, particularly use of insecticide-treated nets.
Genetic and Biochemical Characterization of OXA-519, a Novel OXA-48-Like β-Lactamase

A multidrug-resistant Klebsiella pneumoniae 1210 isolate with reduced carbapenem susceptibility revealed the presence of a novel plasmid-encoded blaOXA-48-like gene, named blaOXA-519. The 60.7-kb plasmid (pOXA-519) was similar to the IncL-OXA-48 prototypical plasmid except for a ca. ABSTRACT A multidrug-resistant Klebsiella pneumoniae 1210 isolate with reduced carbapenem susceptibility revealed the presence of a novel plasmid-encoded blaOXA-48-like gene, named blaOXA-519. The 60.7-kb plasmid (pOXA-519) was similar to the IncL-OXA-48 prototypical plasmid except for a ca. 2-kb deletion due to an IS1R insertion. OXA-519 differed from OXA-48 by a Val120Leu substitution, which resulted in an overall reduced β-lactam-hydrolysis profile, except those for ertapenem and meropenem, which were increased. Thus, detection of OXA-519 producers using biochemical tests that monitor imipenem hydrolysis will be difficult.
An architecture for the 5G control plane based on SDN and data distribution service

The tremendous growth of services and costumers' demands have rendered traditional networks inefficient. Telecommunication operators need a more flexible, scalable, faster and programmable architecture to offer users these new services. Software Defined Networking (SDN) has emerged as a natural solution to this situation as it enables network programmability. This paper provides a review of the SDN architectures applied to fifth generation (5G) networks. In this work, the prime focus is a proposal of the control plane for a 5G architecture with a hybrid hierarchical set of controllers. The architecture is based on a federation of multiple sub-network controllers, each managing only a section of the network, conveniently coordinated by a hierarchically-superior controller. The use of Data Distribution Service (DDS) as a standard of the Object Management Group (OMG) is explored to improve the performance of the proposed architecture. DDS is used taking into account empirical results which have demonstrated a significant improvement in the performance compared to other existing solutions that do not use DDS. We illustrate the flexibility of our approach by presenting some use cases describing how the different elements of this architecture work.
Seasonal variation in ovarian histology of the viviparous lizard Sceloporus torquatus torquatus

Changes in ovarian histology during the reproductive cycle of the viviparous lizard Sceloporus torquatus torquatus are described. In general, the variation in follicular histology observed during the seasonal cycle is similar to that of other lizards. Sceloporus t. torquatus exhibits a cycle in which small, previtellogenic follicles exist in the ovary from December to August. Vitellogenesis occurs between September and November, followed by ovulation from late November to early December. Parturition occurs the following spring. After ovulation, the remaining follicular cells form the corpus luteum and luteolysis did not occur until April‐May. Follicular atresia is commonly observed in previtellogenic follicles with polymorphic granulosa, but occurs less frequently in follicles during late vitellogenesis. There are two germinal beds in each ovary. The yolk nucleus is evident in young oocytes as is a vacuolated ooplasma prior to vitellogenesis. Extensive polymorphism is observed in yolk platelets. Mast cells and secretory cells are observed in the thecal layer of the follicular wall as are melanocytes in the ovarian stroma. © 1995 Wiley‐Liss, Inc.
Receptor–Receptor Interactions in Multiple 5-HT1A Heteroreceptor Complexes in Raphe-Hippocampal 5-HT Transmission and Their Relevance for Depression and Its Treatment

Due to the binding to a number of proteins to the receptor protomers in receptor heteromers in the brain, the term “heteroreceptor complexes” was introduced. A number of serotonin 5-HT1A heteroreceptor complexes were recently found to be linked to the ascending 5-HT pathways known to have a significant role in depression. The 5-HT1A–FGFR1 heteroreceptor complexes were involved in synergistically enhancing neuroplasticity in the hippocampus and in the dorsal raphe 5-HT nerve cells. The 5-HT1A protomer significantly increased FGFR1 protomer signaling in wild-type rats. Disturbances in the 5-HT1A–FGFR1 heteroreceptor complexes in the raphe-hippocampal 5-HT system were found in a genetic rat model of depression (Flinders sensitive line (FSL) rats). Deficits in FSL rats were observed in the ability of combined FGFR1 and 5-HT1A agonist cotreatment to produce antidepressant-like effects. It may in part reflect a failure of FGFR1 treatment to uncouple the 5-HT1A postjunctional receptors and autoreceptors from the hippocampal and dorsal raphe GIRK channels, respectively. This may result in maintained inhibition of hippocampal pyramidal nerve cell and dorsal raphe 5-HT nerve cell firing. Also, 5-HT1A–5-HT2A isoreceptor complexes were recently demonstrated to exist in the hippocampus and limbic cortex. They may play a role in depression through an ability of 5-HT2A protomer signaling to inhibit the 5-HT1A protomer recognition and signaling. Finally, galanin (1–15) was reported to enhance the antidepressant effects of fluoxetine through the putative formation of GalR1–GalR2–5-HT1A heteroreceptor complexes. Taken together, these novel 5-HT1A receptor complexes offer new targets for treatment of depression.
Predictors of Oral Antibiotic Treatment Failure for Nonpurulent Skin and Soft Tissue Infections in the Emergency Department

BACKGROUND Current guideline recommendations for optimal management of nonpurulent skin and soft tissue infections (SSTIs) are based on expert consensus. There is a lack of evidence to guide emergency physicians regarding selection of patients for oral versus intravenous antibiotic therapy. The primary objective was to identify predictors associated with oral antibiotic treatment failure. METHODS We performed a health records review of adults (age ≥ 18 years) with nonpurulent SSTIs treated at two tertiary care emergency departments (EDs). Oral antibiotic treatment failure was defined as any of the following after a minimum of 48 hours of oral therapy due to worsening infection: 1) hospitalization, 2) change in class of oral antibiotic, or 3) switch to intravenous therapy. Multivariable logistic regression was used to identify predictors independently associated with oral antibiotic treatment failure. RESULTS We identified 500 patients (mean ± SD age = 64 ± 19 years, 279 male [55.8%], and 126 [25.2%] with diabetes). Of 288 patients who had received a minimum of 48 hours of oral antibiotics, there were 85 oral antibiotic treatment failures (29.5%). Tachypnea at triage (odds ratio [OR] = 6.31, 95% confidence interval [CI] = 1.80 to 22.08), chronic ulcers (OR = 4.90, 95% CI = 1.68-14.27), history of methicillin-resistant Staphylococcus aureus (MRSA) colonization or infection (OR = 4.83, 95% CI = 1.51 to 15.44), and cellulitis in the past 12 months (OR = 2.23, 95% CI = 1.01 to 4.96) were independently associated with oral antibiotic treatment failure CONCLUSION: This is the first study to evaluate predictors of oral antibiotic treatment failure for nonpurulent SSTIs treated in the ED. Tachypnea at triage, chronic ulcers, history of MRSA colonization or infection, and cellulitis within the past year were independently associated with oral antibiotic treatment failure. Emergency physicians should consider these risk factors when deciding on oral versus intravenous antimicrobial therapy for outpatient management of nonpurulent SSTIs.
Real-Time Monitoring for BDS Signal-In-Space Anomalies Using Ground Observation Data

Signal-in-space (SIS) User Range Error (URE) is one of the major error sources for BeiDou Navigation Satellite System (BDS) applications and can reach tens of meters or even more. Therefore, real-time monitoring of SIS anomalies has a great realistic significance to guarantee the safety of users. According to an analysis of the BDS navigation messages, it showed that the User Range Accuracy (URA) index could not reflect the change of URE when it was abnormal. The conventional models using the relationship between URA and URE to monitor SIS anomalies are not suitable to the present BDS. Therefore, we use a prior information of SIS URE derived from ground observational data instead of URA to monitor BDS SIS anomalies. In order to realize the corresponding functions, we analysed the distribution of SIS UREs and obtained their prior models. Then, the monitoring threshold is determined using the prior models and a confidence interval instead of URA. The scheme was tested by applying to BDS SIS anomalies monitoring based on 13 ground tracking stations. The performance of this method was assessed by comparison with the satellite-health indicators from broadcast ephemeris. The results confirm that the method developed in this paper can rightly and timely detect abnormal SIS.
Cardiac Outlet Forms via the Anterior Heart Field Embryonic Culture and Ablation of Lateral Heart Field Mesoderm

C. H. Mjaatvedt,* ,1 T. Nakaoka,† R. Moreno-Rodriguez,‡ R. A. Norris,* M. J. Kern,* C. A. Eisenberg,* D. Turner,* and R. R. Markwald* *Department of Cell Biology and Anatomy, Medical University of South Carolina, 171 Ashley Avenue, Charleston, South Carolina 29425; †Department of Advanced Medical Science, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 1088639, Japan; and ‡Developmental Biology and Experimental Teratology, Hospital Infantil de México “Federico Gómez,” Dr. Marquez 162, Doctores CP 06720, Federal District, Mexico
Secure speech communication system based on scrambling and masking by chaotic maps

As a result of increasing the interest in developing the communication systems that use public channels for transmitting information, many channel problems are raised up. Among these problems, the important one should be addressed is the information security. This paper presents a proposed communication system with high security uses two encryption levels based on chaotic systems. The first level is chaotic scrambling, while the second one is chaotic masking. This configuration increases the information security since the key space becomes too large. The MATLAB simulation results showed that the Segmental Spectral Signal to Noise Ratio (SSSNR) of the first level (chaotic scrambling) is reduced by -5.195 dB comparing to time domain scrambling. Furthermore, in the second level (chaotic masking), the SSSNR is reduced by -20.679 dB. It is also showed that when the two levels are combined, the overall reduction obtained is -21.755 dB.
Belowground Microbiota and the Health of Tree Crops

Trees are crucial for sustaining life on our planet. Forests and land devoted to tree crops do not only supply essential edible products to humans and animals, but also additional goods such as paper or wood. They also prevent soil erosion, support microbial, animal, and plant biodiversity, play key roles in nutrient and water cycling processes, and mitigate the effects of climate change acting as carbon dioxide sinks. Hence, the health of forests and tree cropping systems is of particular significance. In particular, soil/rhizosphere/root-associated microbial communities (known as microbiota) are decisive to sustain the fitness, development, and productivity of trees. These benefits rely on processes aiming to enhance nutrient assimilation efficiency (plant growth promotion) and/or to protect against a number of (a)biotic constraints. Moreover, specific members of the microbial communities associated with perennial tree crops interact with soil invertebrate food webs, underpinning many density regulation mechanisms. This review discusses belowground microbiota interactions influencing the growth of tree crops. The study of tree-(micro)organism interactions taking place at the belowground level is crucial to understand how they contribute to processes like carbon sequestration, regulation of ecosystem functioning, and nutrient cycling. A comprehensive understanding of the relationship between roots and their associate microbiota can also facilitate the design of novel sustainable approaches for the benefit of these relevant agro-ecosystems. Here, we summarize the methodological approaches to unravel the composition and function of belowground microbiota, the factors influencing their interaction with tree crops, their benefits and harms, with a focus on representative examples of Biological Control Agents (BCA) used against relevant biotic constraints of tree crops. Finally, we add some concluding remarks and suggest future perspectives concerning the microbiota-assisted management strategies to sustain tree crops.
Multi-Objective Optimization Based Allocation of Heterogeneous Spatial Crowdsourcing Tasks

With the rapid development of mobile networks and the proliferation of mobile devices, spatial crowdsourcing, which refers to recruiting mobile workers to perform location-based tasks, has gained emerging interest from both research communities and industries. In this paper, we consider a spatial crowdsourcing scenario: in addition to specific spatial constraints, each task has a valid duration, operation complexity, budget limitation, and the number of required workers. Each volunteer worker completes assigned tasks while conducting his/her routine tasks. The system has a desired task probability coverage and budget constraint. Under this scenario, we investigate an important problem, namely heterogeneous spatial crowdsourcing task allocation (HSC-TA), which strives to search a set of representative Pareto-optimal allocation solutions for the multi-objective optimization problem, such that the assigned task coverage is maximized and incentive cost is minimized simultaneously. To accommodate the multi-constraints in heterogeneous spatial crowdsourcing, we build a worker mobility behavior prediction model to align with allocation process. We prove that the HSC-TA problem is NP-hard. We propose effective heuristic methods, including multi-round linear weight optimization and enhanced multi-objective particle swarm optimization algorithms to achieve adequate Pareto-optimal allocation. Comprehensive experiments on both real-world and synthetic data sets clearly validate the effectiveness and efficiency of our proposed approaches.
Optimized Cooperative Multiple Access in Industrial Cognitive Networks

We consider optimized cooperation in joint orthogonal multiple access and nonorthogonal multiple access in industrial cognitive networks, in which lots of devices may have to share spectrum and some devices (e.g., those for critical control devices) have higher transmission priority, known as primary users. We consider one secondary transmitter (less important devices) as a potential relay between a primary transmitter and receiver pair. The choice of cooperation scheme differs in terms of use cases. With decode-and-forward relaying, the channel between the primary and secondary users limits the achievable rates especially when it experiences poor channel conditions. To alleviate this problem, we apply analog network coding to directly combine the received primary message for relaying with the secondary message. We find achievable rate regions for these two schemes over Rayleigh fading channels. We then investigate an optimization problem jointly considering orthogonal multiple access and nonorthogonal multiple access, where the secondary rate is maximized under the constraint of maintaining the primary rate. We find both analytical solutions as well as solutions based on experiments through the time sharing strategy between the primary and secondary system and the transmit power allocation strategy at the secondary transmitter. We show the performance improvements of exploiting analog network coding and the impacts of cooperative schemes and user geometry on achievable rates and resource sharing strategies.
Assessment of knowledge and practices of Internally Displaced pregnant women attending to antenatal clinic center at Arbat camp in Sulaimani, Kurdistan Region of Iraq

Internally displaced persons are peoples displaced in it is own country but not crossed a border. After (Islamic State of Iraq and Syria attacked in 2014 to Iraq, millions of Iraqi people flee from their own city war zone to safe camps in Kurdistan region north of Iraq, Arbat camp is one of these camps. Iraqi civilian people constitute most new displacement persons around the world as at least 2.2 million were displaced in 2014. An important part of basic maternal health care is antenatal care that must be provided during pregnancy. Aim of this study is to provide demographic data of Internally Displaced Persons pregnant women and the effect on antenatal care knowledge and practices among of Arbat camp that visits to camp health centers on their health. Assessment of knowledge and practices of pregnant women about antennal care. A cross-sectional descriptive study has been conducted to assess the knowledge and practices of (103) women attended to antenatal care of internally displaced persons) at Arbat camps between 1 January to 30 June 2016. Data collected through the questionnaire form by face-to-face interview. Statistical analyses performed by using SPSS version 16.0, to find descriptive analysis like percentage and frequency and for relative statistical analysis. The results have revealed that most of the pregnant women were in the active reproductive age group 18-25 years old 56(54.4%) pregnant women, housewives 102(99%), illiterate 48(46.6%) pregnant women, were in families that have low income with 48(46.6%) pregnant women with significant relation to the knowledge and practices to antenatal care. In conclusion, most pregnant women have very good knowledge about antenatal care except about performing oral health hygiene during pregnancy. The majority of pregnant women in camps have very good knowledge about all practices that must be do during antenatal except taking medication without a physician prescription.
Emerging Trends in Clinical Research: With Implications for Population Health and Health Policy

Policy Points: Significant advances in clinical medicine that have broader societal relevance may be less accessible to population health researchers and policymakers because of increased specialization within fields. We describe important recent clinical advances and discuss their broader societal impact. These advances include more expansive strategies for disease prevention, the rise of precision medicine, applications of human microbiome research, and new and highly successful treatments for hepatitis C infection. These recent developments in clinical research raise important issues surrounding health care costs and equitable resource allocation that necessitate an ongoing dialogue among the fields of clinical medicine, population health, and health policy. CONTEXT Developments in clinical medicine have important implications for population health, and there is a need for interdisciplinary engagement among clinical medicine, the social sciences, and public health research. The aim of this article is to help bridge the divide between these fields by exploring major recent advances in clinical medicine that have important implications for population health. METHODS We reviewed the most cited articles published from 2010 to 2015 in 5 high-impact clinical journals and selected 5 randomized controlled trials and 2 related clinical practice guidelines that are broadly relevant to population health and policy. FINDINGS We discuss the following themes: (1) expanding indications for drug therapy and the inherent medicalization of the population as highlighted by studies and clinical guidelines supporting lower blood pressure targets or widespread statin use; (2) the tension in nutritional research between quantifying the impact of isolated nutrients and studying specific foods and dietary patterns, for example, the role of the Mediterranean diet in the primary prevention of cardiovascular disease; (3) the issue of high medication costs and the challenge of providing equitable access raised by the development of new and effective treatments for hepatitis C infection; (4) emerging clinical applications of research on the human microbiome as illustrated by fecal transplant to treat Clostridium difficile infections; and (5) the promise and limitations of precision medicine as demonstrated by the rise of novel targeted therapies in oncology. CONCLUSIONS These developments in clinical science hold promise for improving individual and population health and raise important questions about resource allocation, the role of prevention, and health disparities.
Power capture optimization of a wind energy conversion system using a backstepping integral sliding mode control

In this paper, a nonlinear robust controller is designed for a variable speed wind turbine (VSWT). The main objective of the controller is to maximize the captured wind energy with reduced oscillations on the drive train. At below rated wind speed, the control input is the generator torque that depends on the reference rated speed which is derived from the effective wind speed. Furthermore, the uncertainties and external disturbances is the main design problem of controller. In order to overcome this problem, Backstepping integral Sliding Mode Control approach (BISMC) is proposed in this study; the control performance of BISMC was compared with Integral Sliding Mode Control (ISMC) through different wind speed profiles. Compared to the existing controllers, the effectiveness of the proposed controller is shown with simulations.
Inflammation and Neuro-Immune Dysregulations in Autism Spectrum Disorders

Autism Spectrum Disorder (ASD) is characterized by persistent deficits in social communication and interaction and restricted-repetitive patterns of behavior, interests, or activities. Strong inflammation states are associated with ASD. This inflammatory condition is often linked to immune system dysfunction. Several cell types are enrolled to trigger and sustain these processes. Neuro-inflammation and neuro-immune abnormalities have now been established in ASD as key factors in its development and maintenance. In this review, we will explore inflammatory conditions, dysfunctions in neuro-immune cross-talk, and immune system treatments in ASD management.