Miracle-dz/UniFAR-FTUs huggingface dataset:
Body position does not influence muscle oxygenation during submaximal cycling

Aerodynamic cycling positions reduce air resistance by minimizing body surface area yielding a lower power output required to maintain a given velocity. We evaluated the effect of aerobar vs upright cycling position on cardiorespiratory and muscle oxygenation measures during stationary (no air resistance) cycling exercise. We hypothesized that the aerobar position would reduce tissue oxygenation of the vastus lateralis (VL) during submaximal workloads. Fifteen endurance‐trained participants (9M/6F) completed constant load cycling at 20%, 40%, and 60% of peak power output (PPO) alternating between upright (UP) and aerobar (AERO) positions. Cardiorespiratory, near‐infrared spectroscopy (NIRS), and electromyography (EMG) measurements of the VL were performed. Body position had no effect on any NIRS‐derived parameters of the VL. At 40 and 60% PPO, the AERO position resulted in higher V˙O2 (AERO: 2.33 ± 0.47 l·min−1 vs UP: 2.29 ± 0.44 l·min−1 for 40%PPO; AERO: 3.25 ± 0.67 l·min−1 vs UP: 3.19 ± 0.64 l·min−1 for 60%PPO), and minute ventilation ( V˙E ) at 60%PPO only (AERO: 90 ± 17 l·min−1 vs UP: 85 ± 15 l·min−1). In conclusion, body position does not affect VL oxygenation during submaximal workloads. However, the AERO position resulted in higher V˙E and V˙O2 . When determining the ideal posture, cyclists should consider the need to balance reduced air resistance vs. maximizing metabolic resources.
IMPROVEMENT STRATEGY FOR OPEN GOVERNMENT DATA USING FUZZY AHP: CASE STUDY JAKARTA OPEN DATA

Open Government Data (OGD) implementation provides benefits for government performance and public services. Based on the Indonesian government's openness action plan 2018-2020, the importance of monitoring and evaluation of OGD implementation for sustainable development is emphasized. This study aims to prioritize criteria and provide recommendations for OGD evaluations at the Jakarta Open Data. Through the mix method approach, expert interviews have been conducted to test the validity of the criteria which then carried out the distribution of questionnaires to eleven expert respondents from five departments. The data is processed using the fuzzy-Analytic Hierarchy Process (AHP) to determine each weight on twenty criteria in four dimensions. The results of this study indicate that in the short term, OGD internal evaluations in the DKI Jakarta provincial government can be done by assessing eight main priority criteria, namely accuracy, completeness, compliance, understandability, timeliness, openness, functionality, and reliability which are then based on overall criteria. These results are the basis for discussion in the Data Forum and the establishment of Standard Operating Procedure (SOP) to assist and accelerate the process of collecting, processing, verifying and validating data from 51 regional work units. Externally, the Jakarta Open Data team can pay attention to the conditions of citizen engagement in the OGD and the existence of a Memorandum of Understanding (MoU) between relevant ministries or agencies that does not yet have data officers or information and documentation management officers for effective and efficient data processing
Clasificación de empresas ganaderas doble propósito por calidad y canales de comercialización de la leche en el Caribe colombiano

An excellent quality milk must have high protein, fat and total solids percentages, low mesophilic and somatic cells counts, and to be free of inhibitor and foreign substances in order to ensure its safety. The objective of this study was to classify the dual-purpose farms based on its milk quality and its marketing channels in a subregion of the middle Sinu in the colombian Caribbean. The study type was descriptive cross sectional. Physicochemical, microbiological variables and udder health were analyzed. Zootechnical parameters were evaluated in order to stablish the manage factors. Equally, through an analysis of mayor compounds and multiple matches the productivity and competitiveness of the farms was categorized based on row milk quality parameters. Most livestock companies were considered as medium length with manual milking and milk storage in canteens. The percentage of cows in milking are not high and a third part of the producer manifested higher income by sales other than milk. It was determined that the higher competitiveness associated with higher quality and productivity indexes occurred in farms where best management practices were implemented. It is necessary to implement good livestock practices to increase the competitiveness.
Control neuro-fuzzy para páncreas artificial: desarrollo y validación in-silico

Type 1 Diabetes Mellitus (DMT1) is currently one of the most harmful diseases that aect people of any age, including children from birth. Exogenous insulin injections remain the most common treatment for these patients, however, it is not the optimal one. The scientific community has endeavored to optimize insulin administration using electronic devices and thus improve the diabetics life expectancy. There are numerous limitations for this biomedical evolution to become a reality such as the control algorithms validation, experimentation with electronic devices, and applicability in patients age transcendence, among others. This work presents the prototyping of a neuro-fuzzy intelligent controller on the Texas Instruments LAUNCHXL-F28069M development board to form a hardware in the loop (HIL) scheme. That is, the embedded controller sends the insulin delivery rate data to the computer where it is captured by the Uva/Padova software and integrated into the metabolic simulation of virtual diabetic patients treated with an insulin pump. The main task of the embedded intelligent algorithm is to determine the optimal insulin infusion rate for each of the 30 virtual patients who follow a meal protocol. The novelty of this work focuses on overcoming current limitations through a first intelligent control algorithm approach applicable to artificial pancreas (AP) and analyzing the feasibility of this proposal in age transcendence since the results correspond to in-silico tests in populations of 10 adults, 10 adolescents and 10 children.
An Efficient Coding Network Based Feature Extraction with Support Vector Machine Based Classification Model for CT Lung Images

Lung cancer is a serious illness affects people all over the globe. To increase the survival rate of patients affected by lung cancer, in advance recognition of lung cancer with effective treatments is important. This study introduces a new deep learning (DL) based feature extraction and classification technique for CT lung images. A DL model using Coding Network (CN) is presented for the extraction of high-level features and classical features. Initially, the convolution neural network is trained as a coding network and the actual pixels are coded into feature vectors for representing the high-level concepts for classification. Next, an extraction of chosen classical features takes place depending upon background knowledge of lung CT images. In addition, an automatic feature fusion takes place to avoid annoying parameter choice. Besides, support vector machine (SVM) model is employed for classify CT lung images in an effective way. For experimentation, a benchmark dataset is utilized to appraise the outcome of the presented CN-SVM model and is validated under several dimensions.
Multiscale models of habitat use by mule deer in winter

Mule deer (Odocoileus hemionus hemionus) populations have experienced widespread declines in much of western North America and alteration or loss of habitat could be contributing to these declines. Consequently, understanding habitat features that are important to mule deer is necessary for effective management of the species and their habitat. From 2005–2012 we radio-marked 452 mule deer with global positioning system collars across 9 distinct winter ranges to evaluate winter habitat use along the east slope of the Cascade Range in south-central Oregon, USA. Using data from 357 mule deer across 9 analysis areas, we developed regional habitat use models for mule deer on winter range at 3 spatio-temporal scales: herd range based on 100% minimum convex polygons around deer locations, home range based on 90% kernel density estimates of deer locations, and foraging range based on locations obtained within 2 hours of sunrise or sunset within the boundaries of the home range scale.We assessed habitat use of mule deer using a generalized linear model with a negative-binomial link function. We validated our models with locations from an independent dataset of 95 deer that wintered within 8 of our analysis areas. Model validation indicated that regional models for all spatio-temporal scales predicted probability of use moderately to very well. At all spatiotemporal scales, predicted use by mule deer was greater in areas with forest canopy cover. These findings call into question large-scale removal of western juniper (Juniperus occidentalis) in Oregon and other portions of western United States to enhance habitat for sagebrush-dependent wildlife species. Across all spatiotemporal scales, we documented increased probability of use of areas farther from roads open to motorized vehicle use by mule deer, highlighting the importance of limiting motorized vehicle use and access on mule deer winter range.We also documented increased use of areas with lower snow depth and on moderate slopes by mule deer. Our models can be used in land management planning to spatially predict mule deer distribution and probability of use under alternative management scenarios that affect forest canopy cover or motorized vehicle use on roads while accounting for other physical features of the landscape. Additionally, our models can be used to develop juniper removal projects to mitigate effects on mule deer winter range habitat while benefiting other wildlife. 2018 The Wildlife Society.
On solving fuzzy delay differential equation using bezier curves

In this article, we plan to use Bezier curves method to solve linear fuzzy delay differential equations. A Bezier curves method is presented and modified to solve fuzzy delay problems taking the advantages of the fuzzy set theory properties. The approximate solution with different degrees is compared to the exact solution to confirm that the linear fuzzy delay differential equations process is accurate and efficient. Numerical example is explained and analyzed involved first order linear fuzzy delay differential equations to demonstrate these proper features of this proposed problem.
Human cytomegalovirus : from novel strain, miRNAs to interplay with breast cancer

The prevalence of human cytomegalovirus (HCMV) ranges from 40% to 100% worldwide. A primary HCMV infection results in a lifelong latent or persistent infection. In healthy people, HCMV infection is often asymptomatic, but in immunosuppressed individuals it can cause lifethreatening disease, and HCMV congenital infection may result in fetal malformation. Increasing evidence implies that HCMV infection is associated with different malignancies. Several studies have suggested different mechanisms by which HCMV can modulate the tumour and the tumour environment, which could be of relevance in tumour development and progression. However, the role of HCMV in cancer has remained highly controversial. The studies in this thesis investigated the possible role of HCMV in cancer, with a special focus on HCMV encoded-miRNAs. HCMV encodes at least 26 miRNAs, and are expressed during the lytic as well as latent phase of infection. Viral miRNAs are identified to target both host and viral mRNA transcripts and thereby regulate protein expression. They modulate various biological functions of the host cell and the virus life cycle by mediating latency, viral replication, cell cycle control, vesicle trafficking, virus assembly and immune evasion strategies. In study I (Manuscript), we discovered a novel genetic variant of HCMV lacking intron 2 of the major immediate early (MIE) gene in 48% tumour samples obtained from breast, colon, neuroblastoma, medulloblastoma and glioblastoma patients. In contrast, this variant was less frequently detected in healthy donors, and in patients with HCMV viremia or myocardial infarction. We found, three clinical isolate that contained both the wild type HCMV and the variant HCMV strains; the variant was successfully plaque purified from endothelial cells (HUVEC). Electron microscopy analysis found dense body like particles but no HCMV particles in variant positive HUVEC cells. The variant expressed cytoplasmic IE proteins, which were of multiple sizes. Our results demonstrate a high prevalence of a novel genetic variant of HCMV in cancer patients, which may represent a new virus strain with potential oncogenic properties that warrants further investigation. In study II (Published in PlosONE 2014), the HCMV microRNA miR-UL112-3p suggested to mediate the latency and immune evasion strategies, also highly expressed in hypertension patients and associated with increased risk of hypertension. In our study, we detected miRUL112-3p in plasma/serum of 52% (14/27) of Diabetic Mellitus, 25% (5/20) of Glioblastoma patients, in 5% (1/20) of Rheumatoid Arthritis patients and in 10% (2/20) of Healthy Controls. Anti-HCMV IgG was detected in 85%, 65%, 75% of patients and 70% of healthy controls, respectively. Anti-HCMV IgM was found only in one Glioblastoma patient of the 87 examined patients and controls. We didn’t found significant association between serology and miR-
Embryonic development of the sea butterfly Desmopterus papilio (Gastropoda: Thecosomata)

Abstract The embryonic development of the thecosome Desmopterus papilio is described for the first time. The mature individual produced a round-shaped egg mass containing ca. 200 fertilised eggs. First cleavage was observed 15 min after the release of the egg mass. Embryos showed typical molluscan spiral cleavage: macromeres produced the first and second quartets of micromeres in clockwise and counterclockwise directions, respectively. A trochophore larva hatched from the egg capsule 28 h after the release of the egg mass. Thereafter, the larva secreted a primary shell at the posterior part, developing into the veliger stage. These findings may be useful for future work on postembryonic development, especially on the loss of the veliger shell, in the genus Desmopterus which is the only group of thecosome species without a shell in the adult stage.
Estimates of Habitat Use by Rabbits (Sylvilagus spp.) from Fecal Pellet Counts Varies by Plot Design in Southern California

Abstract. Studies of rabbits and hares often use fecal pellet counts to estimate population density, create indices of abundance, and monitor habitat use, because fecal pellet counts are more easily deployed and less labor intensive than visual surveys and live trapping. In some habitats, plot size and shape can affect the measured pellet density and the resulting estimates of habitat use by rabbits. We compared rabbit (Sylvilagus spp.) fecal pellet density estimates derived from 0.155-m2 rectangular, 0.155-m2 circular, 1-m2 square, and 1-m2 circular plots in southern California chaparral and coastal sage scrub communities to evaluate habitat use by rabbits. Pellet plots were not an effective sampling design in our chaparral site where rabbit pellet density was low. Our coastal sage scrub site had an abundance of fecal pellets, and pellet density estimates varied by plot design. The 0.155-m2 plots were more easily deployed and counted, however they produced higher estimates of fecal pellet density, exhibited greater variance, and were unable to detect habitat differences in fecal pellet density. The 1-m2 plots required more effort but produced lower pellet density estimates, exhibited less variation, and were both able to detect habitat differences in fecal pellet density. We recommend that researchers conducting rabbit fecal pellet counts in Californian Mediterranean scrub habitats use 1-m2 circular plots for their ease of deployment, counting, and clearing and for their greater detection and precision in estimates of pellet densities.
Checklist of Korean ciliates (Protozoa: Ciliophora)

Ciliate (phylum Ciliophora) is one of the most species rich groups in the Protozoa and is found in a variety of habitats from oceans to terrestrial regions (Lynn, 2008). In terms of their diversity, Foissner et al. (2008) estimated that the number of ciliate species is more than tens of thousands, and greater than 80% of these remain undescribed. The first record of a ciliate in Korea was a report of Balantidium coli infecting pigs (Huruyama, 1931), and more than 130 ciliate papers have been published since then. During the last 85 plus years, the years 1997, 2012, and 2016 include milestone publications. The Korean Society of Systematic Zoology (1997) reported the first list of the Korean ciliates, and included 94 species. Fifteen years later, the National Institute of Biological Resources (2012) focused on protozoan fauna and published a book of protozoan species lists which included 213 ciliate species. Recently, the Korean Society of Protistologists (2016) published three books describing Korean protozoans with brief morphological descriptions and microphotographs. The books included five chapters of 177 ciliate species (Choi et al., 2016; Jung and Min, 2016; Kim and Choi, 2016; Kim and Lee, 2016; Shin et al., 2016). Although these publications provided summarized data of Korean ciliates with relevant literature, they included two nomenclatural errors, two misspellings, and one misidentification. In addition, nine species were transferred to other genera. Furthermore, the type specimens deposited in the laboratory of Prof. Joong Ki Choi (Inha University, Korea) were transferred to the National Marine Biodiversity Institute of Korea (MABIK) because of his retirement. Here, our aims are to provide the information about the type specimens and to address the aforementioned problems.
Characterization of the C-reactive protein receptor on the human monocytic cell line U-937 /

S Siripont, J., J. M. Tebo, and R. F. Mortensen. Receptor mediated binding of mouse serum amyloid P-component (SAP) to macrophages. FASEB Journal. 6765:1461a(1988). Zahedi, K. , J. Siripont, J. M. Tebo, and R. F. Mortensen. The receptor for C-reactive protein (CRP) on mouse macrophages is distinct from IgG Fc receptors. FASEB Journal. 6704:1451a(1988). Tebo, J. M. , and R. F. Mortensen. Receptor mediated binding of C-reactive protein (CRP) to human monocytes and the U-937 cell line occurs via receptors distinct from IgG Fc receptors. J. Leuk. Biol. 44:166a(1988). Tebo, J. M. , and R. F. Mortensen. Internalization and degradation of receptor-bound C-reactive protein (CRP) by U937 cells. J. Leuk. Biol. 167a(1989). Tebo, J. M. , A. Kidane, and R. F. Mortensen. CRP-receptor mediated activation of mouse macrophages and induction of responses in the human monocytic cell line U-937. FASEB Journal. (1990).
Modifications ciblées des génomes : apports et impacts pour les espèces d’élevage

L’avènement des nucléases programmables, et de CRISPR-Cas9 en particulier, constitue une réelle rupture technologique dans le domaine de l’ingénierie génétique. Le principe de ces méthodes est relativement simple. Il consiste en premier lieu à générer des cassures double-brin au niveau de régions très précises d’une séquence cible (ADN d’une cellule somatique, germinale, embryonnaire, iPS.). Ces cassures sont ensuite réparées par des mécanismes cellulaires pouvant conduire à l’inactivation des régions modifiées (knock-out, ou KO), ou à l’insertion, par recombinaison homologue, d’un fragment de séquence modèle apporté à la cellule (knock-in, ou KI). Les domaines d’application de ces techniques sont très nombreux : recherche fondamentale, thérapie génique, ingénierie écologique, biotechnologies industrielles, agriculture, etc. Elles ont d’ores et déjà été utilisées à de multiples reprises dans les espèces animales d’élevage. Des exemples d’applications visant à améliorer la santé des animaux (induction de résistances pour des maladies infectieuses à fort impact économique, et/ou à fort potentiel zoonotique), à éviter des pratiques d’élevage compromettant le bien-être animal (écornage, élimination systématique de poussins mâles), ou à modifier les produits (lait, œufs, viande) dans le but d’améliorer leur valeur santé (réduction des allergies), ou nutritionnelle, sont présentés. Le déploiement de ces méthodes soulève de multiples questions (techniques, réglementaires, économiques, éthiques.) qui sont discutées.
Progress in fish gastrointestinal microbiota research

The gastrointestinal (GI) microbiota of vertebrates plays critical roles in nutrition, development, immunity and resistance against invasive pathogens. In the past decade, research of the GI microbiota of mammals has drastically increased our knowledge on the microbiota and their relationship with health and disease. However, our understanding of fish intestinal microbiota is limited. This review provides an overview of research on fish gut microbiota, including microbial composition, formation, factors that affect the GI microbes and characteristics of fish intestinal microbiota compared with human and mice. Further, the updated research on gnotobiotic zebrafish is elaborated and the insights gained on functions of the fish intestinal microbiota are discussed. Understanding the intestinal microbiota of fish will guide the development of probiotics, prebiotics and hopefully probiotic effectors as novel additives to improve the health of fish.
Remifentanil versus dexmedetomidine for treatment of cardiac surgery patients with moderate to severe noninvasive ventilation intolerance (REDNIVIN): a prospective, cohort study

Background The use of sedation to noninvasive ventilation (NIV) patients remains controversial, however, for intolerant patients who are uncooperative, administration of analgesics and sedatives may be beneficial before resorting to intubation. The aim of this study was to evaluate the efficacy of remifentanil (REM) versus dexmedetomidine (DEX) for treatment of cardiac surgery (CS) patients with moderate to severe NIV intolerance. Methods This prospective cohort study of CS patients with moderate to severe NIV intolerance was conducted between January 2018 and March 2019. Patients were treated with either REM or DEX, decided by the bedside intensivist. Depending on the treatment regimen, the patients were allocated to one of two groups: the REM group or DEX group. Results A total of 90 patients were enrolled in this study (52 in the REM group and 38 in the DEX group). The mitigation rate, defined as the percentage of patients who were relieved from the initial moderate to severe intolerant status, was greater in the REM group than DEX group at 15 min and 3 h (15 min: 83% vs. 61%, P=0.029; 3 h: 92% vs. 74%, P=0.016), although the mean mitigation rate (81% vs. 85%, P=0.800) was comparable between the two groups. NIV failure, defined as reintubation or death over the course of study, was comparable between the two groups (19.2% vs. 21.1%, respectively, P=0.831). There were no significant differences between the two groups in other clinical outcomes, including tracheostomy (15.4% vs. 15.8%, P=0.958), in-hospital mortality (11.5% vs. 10.5%, P=0.880), ICU length of stay (LOS) (7 vs. 7 days, P=0.802), and in-hospital LOS (17 vs. 19 days, P=0.589). Conclusions REM was as effective as DEX in CS patients with moderate to severe NIV intolerance. Although the effect of REM was better than that of DEX over the first 3 h, the cumulative effect was similar between the two treatments.