Miracle-dz/UniFAR-FTUs huggingface dataset:
Intermittent Resistance Training at Moderate Altitude: Effects on the Force-Velocity Relationship, Isometric Strength and Muscle Architecture

Intermittent hypoxic resistance training (IHRT) may help to maximize the adaptations following resistance training, although conflicting evidence is available. The aim of this study was to explore the influence of moderate altitude on the functional, neural and muscle architecture responses of the quadriceps muscles following a power-oriented IHRT intervention. Twenty-four active males completed two 4-week consecutive training blocks comprising general strengthening exercises (weeks 1–4) and power-oriented resistance training (weeks 5–8). Training sessions were conducted twice a week at moderate altitude (2320 m; IHRT, n = 13) or normoxia (690 m; NT, n = 11). Training intensity during the second training block was set to the individual load corresponding to a barbell mean propulsive velocity of 1 m·s−1. Pre-post assessments, performed under normoxic conditions, comprised quadriceps muscle architecture (thickness, pennation angle and fascicle length), isometric maximal (MVF) and explosive strength, and voluntary muscle activation. Dynamic strength performance was assessed through the force-velocity relationship (F0, V0, P0) and a repeated CMJ test (CMJ15MP). Region-specific muscle thickness changes were observed in both training groups (p < 0.001, ηG2 = 0.02). A small opposite trend in pennation angle changes was observed (ES [90% CI]: −0.33 [−0.65, −0.01] vs. 0.11 [−0.44, 0.6], in the IHRT and NT group, respectively; p = 0.094, ηG2 = 0.02). Both training groups showed similar improvements in MVF (ES: 0.38 [0.20, 0.56] vs. 0.55 [0.29, 0.80], in the IHRT and NT group, respectively; p = 0.645, ηG2 < 0.01), F0 (ES: 0.41 [−0.03, 0.85] vs. 0.52 [0.04, 0.99], in the IHRT and NT group, respectively; p = 0.569, ηG2 < 0.01) and P0 (ES: 0.53 [0.07, 0.98] vs. 0.19 [−0.06, 0.44], in the IHRT and NT group, respectively; p = 0.320, ηG2 < 0.01). No meaningful changes in explosive strength performance were observed. In conclusion, contrary to earlier adverse associations between altitude and resistance-training muscle adaptations, similar anatomical and functional muscle strength responses can be achieved in both environmental conditions. The observed region-specific muscle thickness changes may encourage further research on the potential influence of IHRT on muscle morphological changes.
Live network simulation in julia: design and implementation of LiveSim.jl

An architecture for interactive, notebook-based ns-3 simulations in the cloud is proposed. A prototype implementation of an example study for IEEE 802.11p inter-channel interference is developed as a test-case, using direct integration of ns-3 components with Jupyter via Julia's C++ support. This shows that flexible animations with advanced visualization of live ns-3 simulation results can be setup quickly. Although the system appears complex, the benefits of ns-3 as fast and flexible discrete event simulator complement Julia's scalability in numerical computing and Jupyter's versatility on the Web and provide supporting evidence of LiveSim as a promising direction for multi-modal, reproducible network research.
Expression pattern of JMJD 1 C in oocytes and its impact on early embryonic development

Cell reprogramming mediated by histone methylation and demethylation is crucial for the activation of the embryonic genome in early embryonic development. In this study, we employed quantitative realtime polymerase chain reaction (qRT-PCR) to detect mRNA levels and expression patterns of all known histone demethylases in early germinal vesicle stage and in vitro-matured metaphase II (MII) oocytes (which are commonly used as donor cells for nuclear transfer). On screening, the Jumonji domain containing 1C (JMJD1C) gene had the highest level of expression and hence was used for subsequent experiments. We also found that JMJD1C was primarily expressed in the nucleus and showed relatively high levels of expression at the 2-cell, 4-cell, 8-cell, 16-cell, morula, and blastocyst stages of embryos developed from MII oocytes fertilized in vitro. Further, we knocked down the JMJD1C gene in MII oocytes using siRNA 18250 C.H. Li et al. ©FUNPEC-RP www.funpecrp. com.br Genetics and Molecular Research 14 (4): 18249-18258 (2015) and monitored the cleavage of zygotes and development of early embryos after in vitro fertilization. The results showed that the zygote cleavage and blastocyst rates of the transfection group were reduced by 57.1 ± 0.07 and 50 ± 0.01% respectively, which were significantly lower than those of the negative control group (P < 0.05). These data suggest that JMJD1C plays a key role in the normal development of early bovine embryos. Our results also provide a theoretical basis for the investigation of the role and molecular mechanism of histone demethylation in the early development of bovine embryos.
PHYSICAL REVIEW A 97 , 052322 ( 2018 ) Subpicosecond X rotations of atomic clock states

We demonstrate subpicosecond-timescale population transfer between the pair of hyperfine ground states of atomic rubidium using a single laser-pulse. Our scheme utilizes the geometric and dynamic phases induced during Rabi oscillation through the fine-structure excited state to construct an X rotation gate for the hyperfine-state qubit system. The experiment performed with a femtosecond laser and cold rubidium atoms, in a magnetooptical trap, shows over 98% maximal population transfer between the clock states.
Topic Modeling of Scholarly Articles: Interactive Text Mining Suite

Access to a large amount of scholarly publication presents new opportunities to researchers. Recent advances in data visualization techniques allow for automated content analysis, topic modeling and classification as well as research trend and scientific network analyses. Many probabilistic models and text-mining tools have been put forth to help analyze and explore large collections of documents. The use of these tools in mainstream scholarly research, however, remains limited to machine learning and natural language processing fields, as the researcher is often challenged by the technological hurdle of command-line tools. We address this issue by introducing a user-friendly application that allows researchers to visually explore scholarly articles. Written in R with the Shiny web app, this application not only provides a web-interactive interface, but also allows researchers to implement state-of-the-art topic modeling and visualization tools. Finally, the accessibility of our web application facilitates data analysis, as researchers are not constrained by memory limitation or platform dependency.
Evaluation of Growth Performance, Haematological and Serum Biochemical Response of Broiler Chickens to Aqueous Extract of Ginger and Garlic

An experiment which lasted for 56 days was carried out to investigate the growth performance, haematological and serum biochemical response of broiler chickens to aqueous extract of ginger and garlic. Eighty day-old Marshal Strain broiler chickens were used for the experiment. The birds were randomly allotted into four treatment groups consisting of four replicates with five birds per replicate. The aqueous extract was obtained by infusing 14 g of each test ingredient in 1 litre of hot boiled water for 12 hours and 50 ml of the filtrate/litre of drinking water given to birds’ ad-libitum. T1 (control), T2, T3, and T4 contained 0, and 50 mls of ginger, garlic and a 1:1 ratio mixture of ginger and garlic in drinking water respectively. T2 gave the best performance (p 0.05) while there was significant increase in the total protein, albumin, and globulin of the treated birds (p < 0.01). Administration of ginger and garlic to broiler chickens increased their performance, boosted their immunity as well as improved their general well-being. It is, thus, recommended in broiler chicken production.
Potential Roles of Magnesium Deficiency in Inflammation and Atherogenesis: Importance and Cross-talk of Platelet-Activating Factor and Ceramide

Epidemiologic studies in North America and Europe have shown that people consuming Western-type diets are low in magnesium (Mg) content (i.e., < 30 - 65% of the RDA for Mg); most such diets in the USA show that 60 - 80% of Americans are consuming only 185 - 235 mg/day of Mg. Low Mg content in areas of soft-water, and Mg-poor soil, is associated with high incidences of ischemic heart disease (IHD), coronary artery disease, hypertension, and sudden cardiac death (SCD). It is clear that the leading underlying cause of death worldwide is atherosclerosis. Importantly, both animal and human studies have shown an inverse relationship between dietary intake of Mg and atherosclerosis. The myocardial level of Mg has consistently been observed to be lower in subjects dying from IHD and SCD in soft-water areas than those in hard-water areas. Over the past 20 years, our laboratories, using several types of primary cultured vascular smooth muscle (VSM) cells, and myocardial cells, demonstrated that declining levels of extracellular Mg ([Mg2+]0) activated several enzymatic pathways to produce increases in cellular sphingolipids, particularly ceramides which are known to exert numerous types of cardiovascular manifestations including inflammatory effects ; the latter play important roles in atherogenesis and cardiovascular diseases. Approximately 20 years ago, we reported that low [Mg2+]0 caused formation of platelet-activating factor (PAF) as well as other types of PAF-like molecules and suggested that these molecules might be causative agents in low Mg2+- induced IHD and SCD. Herein, we review results and data from our labs which strongly support roles for ceramides, PAF and PAF-like lipids in low [Mg2+]0-induced IHD and SCD.
The Relationship Between Corporate Social Responsibility Reporting and Corporate Governance: Evidence from Turkish Banking Sector

Corporate social responsibility (CSR) reporting and corporate governance concepts have been two important concepts for researchers and corporate managers in recent years. The purpose of this study is to analyze the potential effect of corporate governance levels of Turkish deposit banks’ on CSR reporting. First, the concentration areas of CSR reporting of Turkish deposit banks were identified between the years 2012-2014 from their annual and sustainability reports. Second, the concentration areas were divided into subgroups and each bank was rated according to their disclosure level. Finally, a model was designed in order to determine the relationship between CSR reporting and corporate governance. In the model, CSR reporting rating scores are used as a dependent variable, and financial data and corporate governance indicators of banks are used as independent variables. Model results indicate that corporate governance level and bank’s size have a significant effect on the level of CSR reporting in Turkish banking sector.
Multistability of competitive neural networks with time-delay in the saturation region

Abstract: In this paper, the multistability analysis of the competitive neural networks with time-delay are investigated based on the stability theory, by selecting properly the system parameters, using solution matrix property and inequality technique, several novel sufficient conditions ensuring the existence and exponential stability of equilibria are obtained when the equilibrium point located in the saturation region. These conditions can be directly derived from the synaptic weights, the strength of the external stimulus and the external input of the competitive neural networks, and be verified easily. In addition, four examples are given to show the effectiveness of the results.
Defining the impact of (cid:1) -catenin/Tcf transactivation on epithelial stem cells

Wnt signaling has been implicated in stem cell (SC) biology, but little is known about how stabilized (cid:1) -catenin functions within native SC niches. We address this by defining the impact of (cid:1) -catenin stabilization on maintenance, proliferation, and lineage commitment of multipotent follicle SCs when in their native niche and in culture. We employ gain of function mutations and inducible loss of function mutations to demonstrate that (cid:1) -catenin stabilization is essential for promoting the transition between SC quiescence and conversion to proliferating transit amplifying (TA) progeny. We transcriptionally profile purified SCs isolated directly from wild-type and elevated (cid:1) -catenin follicles in both resting and activated states to uncover the discrete set of genes whose expression in native SCs is dependent upon (cid:1) -catenin stabilization. Finally, we address the underlying mechanism and show that in the SC niche, Wnt signaling and (cid:1) -catenin stabilization transiently activate Lef1/Tcf complexes and promote their binding to target genes that promote TA cell conversion and proliferation to form the activated cells of the newly developing hair follicle. We also show that these changes precede subsequent Wnt signals that impact on the TA progeny to specify the differentiation lineages of the follicle.
Structuring and coding in health care records: a qualitative analysis using diabetes as a case study

Background Globally, diabetes mellitus presents a substantial and increasing burden to individuals, health care systems and society. Structuring and coding of information in the electronic health record underpin attempts to improve sharing and searching for information. Digital records for those with long-term conditions are expected to bring direct and secondary uses benefits, and potentially to support patient self-management. Aims and objectives We sought to investigate if how and why records for adults with diabetes were structured and coded and to explore a range of UK stakeholders’ perceptions of current practice in the National Health Service. Methods We carried out a qualitative, theoretically informed case study of documenting health care information for diabetes in family practice and hospital settings in England, using semi-structured interviews, observations, systems demonstrations and documentary data. Results We conducted 22 interviews and four on-site observations. With respect to secondary uses – research, audit, public health and service planning – interviewees clearly articulated the benefits of highly structured and coded diabetes data and it was believed that benefits would expand through linkage to other datasets. Direct, more marginal, clinical benefits in terms of managing and monitoring diabetes and perhaps encouraging patient self-management were also reported. We observed marked differences in levels of record structuring and/or coding between family practices, where it was high, and the hospital. We found little evidence that structured and coded data were being exploited to improve information sharing between care settings. Conclusions Using high levels of data structuring and coding in records for diabetes patients has the potential to be exploited more fully, and lessons might be learned from successful developments elsewhere in the UK. A first step would be for hospitals to attain levels of health information technology infrastructure and systems use commensurate with family practices.
Healthcare Sensor Data Management on the Cloud

The quality of medical services can be significantly improved by supporting health care procedures with new technologies such as Cloud computing and Internet of Things (IoTs). The need to monitor patient's health remotely and in real time becomes more and more a vital requirement, especially for chronic patients and elderly. In this work, we focus on the management of health care related data stored on the Cloud produced by Bluetooth low energy devices. We present a Cloud based IoT Management System that collects vital user data (e.g. cardiac pulse rate and blood oxygen saturation) on real time. Our solution enables sensor data collection and processing fast and efficient, while users such as medical personnel can subscribe to patient's data and get notifications. The system is designed based on microservices and includes a notification service for both health care providers and patients minimizing the risk of late response to emergency conditions. Alerts are produced according to predefined rules and on patient specific reaction plans. We present an experimental study where we evaluate our system based on real world sensors, while we generate a synthetic dataset for simulating thousands of users. The results are prosperous, as the system responds close to real time even under heavy loads binding to the limits of the web server that receives the service request. The heaviest workload simulates 2000 user requests (while 80 are executed concurrently) is completed in less than 13 seconds when the system deployed in a virtual machine of 2GB RAM, 1 VCPU and 20GB Disk.
Quality 'Alone' Time through Conversations and Storytelling: Podcast Listening Behaviors and Routines

Audio podcasts have been widely used for more than a decade where millions of people listen to digital content on mobile devices. Despite a large amount of research on podcasts, there have not been any studies that explore the detailed listening practices of frequent podcast users, in particular, with a focus on understanding how podcasts support alone time. We conducted an interview study to understand and learn from such practices. Our results point to the characteristics of podcast technology that made it suitable for supporting people's ability to be alone yet still feel like they were connected to others. This included being able to multitask while listening to a podcast, escape from times of boredom, and even have experiential moments of self-reflection. These behaviors were supported by the flexibility of podcasts as a storytelling medium, a feeling of intimacy and connection with the podcast host, and podcasts' ability to make people feel like they are part of a conversation even when alone. We explore how these features suggest direction for technologies that can support alone time.
Effect of AB 070597 on Blood-Serum Creatinine Concentration in Cats with Chronic Kidney Disease

| The objectives of this study were to examine whether AB070597, a dietary supplement of amino acids and a peptide, had an effect on progressive increases in blood-serum creatinine concentration (SCr) and disease advancement in cats with chronic kidney disease (CKD). Fifty-nine privately owned cats with confirmed CKD were enrolled in this study. Twenty-seven cats were given AB070597 orally twice daily, and 32 remaining cats served as non-treated controls. Cats participated in the study for 24-104 weeks. Cats received standard care, including subcutaneous fluids, antibiotics, and anti-hypertensive therapy, as directed by their veterinarians, with the exception that dietary protein was not restricted. Blood-serum creatinine concentrations were measured at the beginning of the trial and at 12-week intervals. Body weight was measured at study beginning and at varying times during the study. The stage of the renal disease at the onset of the trial was scored using the criteria set out by the International Renal Interest Society (IRIS). Bi-daily oral administration of AB070597 significantly reduced median SCr for the overall study period (P=0.0084) and at all-time points (P≤0.0269), except week 84 (P=0.0747). Mean disease stage was reduced in the treatment group when compared to the control group (P=0.0184) at the end of the study. Treated cats were 19.8 times more likely to have a lower disease stage at the end of the study compared to untreated cats. Body weight increased in 59%, was unchanged in 15%, and decreased in 26% of treated cats whereas body weight increased in 6%, was unchanged in 10%, and decreased in 84% of untreated cats. Together, these findings suggest that AB070597 may be a useful tool for stabilizing SCr in some cats with CKD and that the formulation warrants further study.
3 Proposed Approximate Random Dropout Algorithm

The training phases of Deep neural network (DNN) consume enormous processing time and energy. Compression techniques for inference acceleration leveraging the sparsity of DNNs, however, can be hardly used in the training phase. Because the training involves dense matrix-multiplication using GPGPU, which endorse regular and structural data layout. In this paper, we exploit the sparsity of DNN resulting from the random dropout technique to eliminate the unnecessary computation and data access for those dropped neurons or synapses in the training phase. Experiments results on MLP and LSTM on standard benchmarks show that the proposed Approximate Random Dropout can reduce the training time by half on average with ignorable accuracy loss.
PLANEJAMENTO REGIONAL COM FOCO EM ARRANJOS PRODUTIVOS LOCAIS: A EXPERIÊNCIA RECENTE DO ESTADO DO PARÁ

O artigo analisa a experiencia recente de planejamento regional no estado do Para, onde se busca construir a articulacao entre planejamento regional, politica de ciencia e tecnologia e cooperacao entre atores sociais na construcao e gestao compartilhada do desenvolvimento regional e local em territorio paraense. A iniciativa e resultante das acoes do Projeto Estruturante do Sistema de Ciencia e Tecnologia do Estado do Para, financiado pela FINEP, que vem sendo implementado desde janeiro de 2006. Esse projeto delineou diversos polos de inovacao como estrategia para fomentar o desenvolvimento sustentavel regional, institucionalizando mecanismos de governanca e promovendo a capacitacao de atores sociais vinculados aos setores produtivos considerados estrategicos em cada uma das vinte e duas microrregioes do Para. A estruturacao consistente desses setores podera transforma-los em arranjos produtivos que contribuam para o crescimento quantitativo e qualitativo da producao regional, com a consequente geracao de novos empregos, a diminuicao das desigualdades regionais internas e a melhoria das condicoes de vida na Regiao.
A Holistic Evaluation of Docker Containers for Interfering Microservices

Advancement of container technology (e.g. Docker, LXC, etc.) transformed the virtualization concept by providing a lightweight alternative to hypervisors. Docker has emerged as the most popular container management tool. Recent research regarding the comparison of container with hypervisor and bare-metal demonstrates that the container can accomplish bare-metal performance in almost all case. However, the current literature lacks an in-depth study on the experimental evaluation for understanding the performance interference between microservices that are hosted within a single or across multiple containers. In this paper, we have presented the experimental study on the performance evaluation of Docker containers running heterogeneous set of microservices concurrently. We have conducted a comprehensive set of experiments following CEEM (Cloud Evaluation Experiment Methodology) to measure the interference between containers running either competing or independent microservices. We have also considered the effects of constraining the resources of a container by explicitly specifying the cgroups. We have evaluated the performance of containers in terms of inter-container (caused by two concurrent executing containers) and intra-container (caused between two microservices executing inside a container) interference which is almost neglected in the current literature. The evaluation results can be utilized to model the interference effect for smart resource provisioning of microservices in the containerized environment.