Miracle-dz/UniFAR-FTUs huggingface dataset:
Sargramostim Accelerates Leukocyte Recovery and Improves Mortality Rate at Day 60 in a Non-Human Primate Model of Hematopoietic Acute Radiation Syndrome When Administered 48 h after Total Body Irradiation

Background: Hematopoietic acute radiation syndrome (H-ARS) occurs in individuals that are exposed to high levels of radiation over a short period of time. The destruction of bone marrow leads to pancytopenia, which increases the incidence of infections and accounts for the majority of morbidity and mortality. Sargramostim (yeast-derived rhGM-CSF) is a leukocyte growth factor that promotes differentiation, maturation and activation of granulocytes, monocytes and macrophages. Methods: We evaluated the efficacy of repeat administrations of sargramostim (7 μg/kg/day) in a blinded, GLP study in total body irradiated non-human primates (NHPs) when administered 48 h post-irradiation with minimal supportive care (e.g., no blood products or individualized antibiotics). The primary objective was to assess the efficacy of sargramostim versus vehicle on mortality rate at Day 60 in irradiated male and female NHPs at LD 50-60/60 (n=36/group). Secondary objectives included the efficacy of sargramostim on overall survival and its effect on hematology parameters. The study included an exploratory arm of male and female NHPs that were irradiated at a LD 70-80/60 (n= 18/group) and received the same treatments. Results: Sargramostim decreased the mortality rate at Day 60 by 36% in the LD 50-60/60 group (p=0.0018) and by 44% in the LD 70-80/60 group (p=0.0076). Additionally, neutrophil, platelet, lymphocyte, and white blood cell levels in survivors demonstrated accelerated recovery in the sargramostim-treated NHPs in the LD 50-60/60 and LD 70-80/60 groups. Conclusion: Treatment with sargramostim (7 μg/kg/day) beginning at 48 h, in the absence of blood products and individualized antibiotics, suggests that the use of sargramostim is a viable therapeutic strategy for H-ARS in a mass casualty event. Funding: This project has been funded in whole or in part with Federal funds from the Office of the Assistant Secretary for Preparedness and Response, Biomedical Advanced Research and Development Authority, under Contract No. HHSO100201300005I. Disclosures Clayton: Sanofi Genzyme: Employment. Charpentier: Sanofi: Employment. LaCasse: Sanofi Genzyme: Employment. Khan-Malek: Sanofi: Employment. Keutzer: Sanofi Genzyme: Employment.
A Deep Learning Approach to Integrate Medical Big Data for Improving Health Services in Indonesia

Medical Informatics to support health services in Indonesia is proposed in this paper. The focuses of paper to the analysis of Big Data for health care purposes with the aim of improving and developing clinical decision support systems (CDSS) or assessing medical data both for quality assurance and accessibility of health services. Electronic health records (EHR) are very rich in medical data sourced from patient. All the data can be aggregated to produce information, which includes medical history details such as, diagnostic tests, medicines and treatment plans, immunization records, allergies, radiological images, multivariate sensors device, laboratories, and test results. All the information will provide a valuable understanding of disease management system. In Indonesia country, with many rural areas with limited doctor it is an important case to investigate. Data mining about large-scale individuals and populations through EHRs can be combined with mobile networks and social media to inform about health and public policy. To support this research, many researchers have been applied the Deep Learning (DL) approach in data-mining problems related to health informatics. However, in practice, the use of DL is still questionable due to achieve optimal performance, relatively large data and resources are needed, given there are other learning algorithms that are relatively fast but produce close performance with fewer resources and parameterization, and have a better interpretability. In this paper, the advantage of Deep Learning to design medical informatics is described, due to such an approach is needed to make a good CDSS of health services.
Modeling prediction of dispersal of heavy metals in plain using neural network

Today, the supply of safe drinking water is one of the most important problems in societies. In the present research, using a neural network, a method to determine the dispersal trend of groundwater pollutants was provided through a case study of heavy metals, including lead, zinc and arsenic in Qazvin plain. Then, using a sensitivity analysis, the actual significance of each parameter was determined in the model and by plotting graphs and response levels, the effects of abstraction, discharge, electrical conductivity, temperature, hydraulic gradient, lifetime, groundwater level and depth from surface to well screen on the concentration of metals were studied individually and two by two. The model was applied to predict the situation of the plain in the coming years, and only if the abstraction is reduced to a half rate, the plain condition would remain stable and the concentration of the metals would not be increased.
Diversity of Primate Lentiviruses Rebooted

Highlight: The present report reveals for the first time natural lentiviral infection of wild Indian NHPs, rhesus monkeys (Macaca mulatta) and langurs (Semnopithecus entellus) by SIVs that are phylogenetically diverse from all known SIVs, including “SIVmac”, which infects captive rhesus monkeys. The novel SIVs are intriguingly homologous to HIV-1, based on serology and partial lentiviral genomic sequence analyses. Diverse lenti-viruses infect human and nonhuman primates (NHPs). There are more than 45 different “species-specific” simian immunodeficiency viruses (SIVs) that infect their cognate NHP hosts in natural habitats in Africa. Indian NHPs are not known to be infected by SIVs in the wild. Conventionally SIVs are named after their natural hosts, except for SIVmac, which infects captive rather than wild rhesus macaques. SIVmac is therefore a misnomer. It is a genetic variant of the African SIVsmm, which infects wild African sooty mangabey monkeys. SIVsmm is the progenitor of human immunodeficiency virus (HIV-2), while SIVcpz that infects wild chimpanzees is the progenitor of HIV-1. Although natural infections cannot be easily studied in wild NHP populations, we have previously reported co-infection of wild Indian NHPs by other retroviruses: simian retroviruses (SRVs) and Simian Foamy viruses (SFV). Apart from zoonosis, transmission of pathogens from humans to animals: anthroponosis, has also been reported in literature.
Morphological development, herbage yield and quality of Italian ryegrass during primary growth and regrowth: Regression models and yield optimisation

The main aim of this research was to establish simple regression models for predicting herbage production parameters during uninterrupted growth and to contribute to forage optimisation of Italian ryegrass (Lolium multiflorum Lam.) cultivated as an overwinter catch crop. The field experiment in split-plot design with two block replicates consisted of two growth cycles: primary growth (C1) and regrowth (C2) as the whole plots, and twelve time series with five-day intervals as the sub-plots. For each time point, herbage dry matter yield, mean stage by weight (MSW) and contents of crude protein (CP) and net energy for lactation (NEL) were determined. Growth days for all production parameters and MSW for quality parameters were used as explanatory variables. Considering the practically relevant 47-day growth period, simple linear regression models explained from 84.9% to 94.0% of the variance of the investigated parameters. These models are better than those performed for the whole 67-day period, except for the model for MSW-based prediction of CP content. The comparison of the two predictors showed that growth days were at least as good as MSW in predicting CP and NEL contents determined during C1 and C2. The effect of growth cycle on the patterns of all investigated parameters was significant, indicating that growth conditions played an important role. Based on our results, CP and NEL yield potentials of Italian ryegrass cannot be completely exploited in a double catch crop system if the required forage quality for lactating cows is to be respected. It rather suggests getting the maximal single harvest in early May, which is justified from nutritional and economical standpoints.
Determination of 8-hydroxy-2’deoxyguanosine, malondialdehyde levels and antioxidant enzyme activities in Kangal dogs with venereal tumour

Canine transmissible venereal tumour (TVT) is a contagious cancer and sexually transmitted one dog to another by allogenic transfer of living cancer cells. The aim of this study is to examine the relationship between antioxidative metabolism and venereal tumour at Kangal Dogs and to show the size of oxidative damage it causes through 8-hydroxy-2’deoxyguanosine (8-OHdG). The materials of this study included the blood sera of 15 Kangal Dogs with TVT, and as a control group of 15 healthy Kangal Dogs. The sera levels of 8-OHdG were determined by competitive enzyme linked immunosorbent assay (ELISA) method. The level of malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GPx) and catalase (CAT) which are antioxidative enzymes were investigated by spectrophotometric methods as described. Serum 8-OHdG and MDA levels of dogs with TVT were found to be significantly increased compared to the control group (P<0.001). The levels of GPx were statistically different (P<0.05). In the light of the findings, which are obtained in this study, the transmissible venereal tumour, which is an infectious and treatable type of cancer, can lead to new studies that may be caused by oxidant-antioxidant metabolism.
Species protection in areas conserved through community-driven direct democracy as compared with a large private land trust in California

Summary Protected area systems include sites preserved by various institutions and mechanisms, but the benefits to biodiversity provided by different types of sites are poorly understood. Protected areas established by local communities for various reasons may provide complementary benefits to those established by large-scale agencies and organizations. Local communities are geographically constrained, however, and it remains unclear how effectively they protect biodiversity. We explored this issue by focusing on protected areas established through direct democracy via local ballot initiatives whereby communities vote to tax themselves for open space preservation. We compared the effectiveness of local ballot-protected areas to areas protected by a large-scale conservation actor, The Nature Conservancy (TNC). We evaluated how well the two protected area types correspond with amphibians, reptiles, birds, mammals and special status elements of natural diversity. Local ballot-protected areas differed from those of TNC in terms of size, location, proximity to urban areas and habitat diversity. In terms of potential habitat coverage, local ballot-protected areas outperformed TNC sites for all species groups with the exception of special status elements of natural diversity. While not necessarily targeting wildlife and habitats, we conclude that locally established protected areas can make an important contribution to biodiversity conservation.
Building crack monitoring based on digital image processing

Building crack monitoring is of great value to the judgment of building safety. In this study, the digital image processing technology was studied and applied to the monitoring of building cracks. Crack images were collected by CCD camera, and then operations such as graying, correction, denoising and segmentation were carried out to obtain clear crack images. The obtained images are processed morphologically to further improve the quality. Finally, the width and length of cracks are calculated. In the case analysis, the results of 15 cracks measured by microscope were taken as the standards and compared with the calculated results. The results showed that the results calculated in this study and the manual measurement results differed little, and the average error of the width and length is 0.021 mm and 0.024 mm respectively, which suggested that the method proposed had high reliability. The findings of this study provides a new idea for the further development of building crack monitoring field, which is conducive to the accurate assessment of building safety.
Preparation of Aniline-Based Nitrogen-Containing Diamond-Like Carbon Films with Low Electrical Resistivity

The intrinsic high electrical resistivity of diamond-like carbon (DLC) films prevents their use in certain applications. The addition of metal or nitrogen during the preparation of the DLC films leads to a lower resistivity of the films, but it is usually accompanied by several disadvantages, such as a potential contamination risk for surfaces in contact with the film, a limited area that can be coated, deteriorated mechanical properties or low deposition rates of the films. To avoid these problems, DLC films have been prepared by plasma source ion implantation using aniline as a precursor gas, either in pure form or mixed with acetylene. The nitrogen from the precursor aniline is incorporated into the DLC films, leading to a reduced electrical resistivity. Film properties such as hardness, surface roughness and friction coefficient are nearly unchanged as compared to an additionally prepared reference sample, which was deposited using only pure acetylene as precursor gas.
Streak Instabilities on HIFiRE-5 Elliptic Cone

The Hypersonic International Flight Research and Experimentation (HIFiRE) 5 flight experiment by the Air Force Research Laboratories and Australian Defense Science and Technology Organization yielded in-flight, hypersonic transition data for a canonical, 3D configuration in the form of an elliptic cone at various combinations of angle-of-attack and yaw. Previous analysis has shown that boundary-layer stability calculations for the as-flown, zero-yaw flight conditions are able to capture the second mode dominated transition along the attachment line as well as the crossflow induced transition in between the attachment line and the minor axis symmetry plane. However, there is still a need to understand the transition in the vicinity of the minor axis plane of symmetry, where the boundary layer thickness exhibits an azimuthally compact bulge due to the collision of the secondary flow approaching from the attachment lines on both sides. This paper reports a computational analysis of the stability of the boundary layer flow along the bulge regions on both the leeward and windward sides of the vehicle surface. At a representative flight condition corresponding to a time instant of t = 514.813 seconds, computations are performed to identify several different unstable modes within the bulge regions, with the eventual goal of developing a linear stability correlation for the transition onset near the minor axis symmetry plane. The most amplified flow instabilities in the pretransitional region correspond to a “stem” mode that is concentrated within a pair of nearly vertical shear layers below the cap of the mushroom shaped bulge in the mean velocity contours. An excellent agreement is found between the predictions of instability amplification based on the plane marching parabolized stability equations (PSE) and the direct numerical solutions (DNS). Given the large number of unstable modes within the bulge region, the observed agreement demonstrates, for first time, that the PSE can provide accurate predictions for the development of flow instabilities in streak-like flow features over three-dimensional bodies. The peak N-factor of approximately 15 at the transition location estimated from the thermocouple measurements along the leeward centerline is close to
Successful embolectomy of bilateral femoral artery thrombosis in neonate

In childhood, the incidence of thrombotic disease, both spontaneous and catheter-induced, is highest in the neonatal period. Depending on the thrombus location, degree of aortic occlusion and involvement of other organs, aortic thrombosis clinical signs range from a completely asymptomatic presentation to a life threatening neonatal emergency. We report a case of aortoiliac thrombosis in a 12 days old baby, who presented with complaints of bluishblack patches on right foot for 4 days. Lower limb CT (Computed Tomography) Angiography showed thrombus in abdominal aorta involving proximal part of right common iliac artery. The anticoagulant therapy was initiated and surgical embolectomy was performed with restoration of blood flow, but the patient developed gangrene of right foot during the follow up period.
Developing English teaching and learning materials for nursing students of Universitas ‘Aisyiyah Yogyakarta

The aim of this research and development study was to develop a set of English teaching and learning materials for nursing students. The development of the materials was carried out in three phases: planning, developing, and evaluating. The research findings revealed the nursing students’ needs concerning media, language instruction, assignments, lecturer’s and student’s roles, setting of the class, learning activities, use of English for the students, students’ intention to learn English, setting in which English was used, learning themes, input texts, students’ English proficiency, target culture knowledge, appropriateness of the English book used, English skills the students want to improve, and layout of the materials. The means of materials were 3.95 in terms of the language teaching and 3.63 in terms of the content. The means of three units were 3.43, 3.44, and 3.33. The means implied that the developed materials were appropriate to be used in the teaching and learning process as the materials met the nursing students’ needs and interest.
Patterns of psychiatric symptoms in geriatric persons living in care homes

Background The aging population possesses sociological problems that are usually associated with medical problems. Elderly persons ‘living in old age homes’ are expanding in numbers; are people in such settings prone to psychological stress rather than those living in community? Aim To assess the extent of mental illness in old age group living in care homes, and to determine the level of social support. Participants and methods A case–control study was conducted on 116 elderly individuals, who were divided into two groups − group A included 56 individuals living in old-age homes, and group B included 60 individuals living with their families (control group). All of them were subjected to the following: assessment of sociodemographic status and clinical diagnoses using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders scale, the Brief Psychiatric Rating Scale, and the Multidimensional Scale of Perceived Social Support (MSPSS). Results There was no significant statistical differences between both groups regarding the presence of a possible psychiatric disorder (P<0.05). In the case group, we found significant differences for factor neurotic (t=2.894), factor positive (t=4.633), and factor negative (t=8.893) compared with the control group. Conclusion Special care should be provided for the elderly living in old-age homes as they are more prone to psychiatric illnesses and have a higher risk for depression, less social support, and more severe isolated psychiatric symptoms.
A New Technique to Calculate Earthquake Stress Transfer and to Probe the Physics of Aftershocks

Coseismic stress changes have been the primary physical principle used to explain aftershocks and triggered earthquakes. However, this method does not adequately forecast earthquake rates and diverse rupture populations when subjected to formal testing. We show that earthquake forecasts can be impaired by assumptions made in physics-based models such as the existence of hypothetical optimal faults and regional scale invariability of the stress field. We compare calculations made under these assumptions along with different realizations of a new conceptual triggering model that features a complete assay of all possible ruptures. In this concept, there always exists a set of theoretical planes that has positive failure stress conditions under a combination of background and coseismic static stress change. In the Earth, all of these theoretical planes may not exist, and if they do, they may not be ready to fail. Thus, the actual aftershock plane may not correspond to the plane with the maximum stress change value. This is consistent with observations that mainshocks commonly activate faults with exotic orientations and rakes. Our testing ground is the M 7.2, 2010 El Mayor–Cucapah earthquake sequence that activated multiple diverse fault populations across the United States–Mexico border in California and Baja California. We carry out a retrospective test involving 748 M≥3.0 triggered earthquakes that occurred during a 3 yr period after the mainshock. We find that a probabilistic expression of possible aftershock planes constrained by premainshock rupture patterns is strongly favored (89% of aftershocks consistent with static stress triggering) versus an optimal fault implementation (35% consistent). Results show that coseismic stress change magnitudes do not necessarily control earthquake triggering, instead we find that the summed background stress and coseismic stress change promotes diverse ruptures. Our model can thus explain earthquake triggering in regions where optimal plane mapping shows coseismic stress reduction.
Comparative Study of the Cytotoxic Effect of Silver Nanoparticles on Human Lymphocytes and HPB-ALL Cell Line: As an In Vitro Study

Background: Cancer is currently the second leading cause of death worldwide that is originated from cell growth and proliferation without control. Acute lymphoblastic leukemia (ALL) is one of the types of leukemia that affects lymphocyte maturation and it is common among children. Silver nanoparticles are considered one of the targeted chemotherapy methods by creating cytotoxicity. Objectives: In this research, a comparative study of cytotoxic effect of silver nanoparticles was evaluated on human lymphocytes and HPB-ALL cell line as an in vitro study. Methods: In this experimental study, lymphocytes and HPB-ALL cell line were exposed to silver nanoparticles at RPMI 1640 medium culture in order to assess toxicity for 24 hours. To this aim, MTT assay was used to evaluate the toxicity of the silver nanoparticles. DNA fragmentation and apoptosis were evaluated by Gel Electrophoresis and Flow Cytometry, respectively. Moreover, quantitative PCR was performed on bax, bcl-2, and caspase-9 genes. Results: The results of MTT assay showed IC50 values of silver nanoparticles were 5.87 and 2.68 μg/mL for lymphocytes and HPB-ALL cell line, respectively. The results showed that silver nanoparticles could split DNA of the HPB-ALL cell line more than DNA of the lymphocytes during DNA fragmentation. Flow Cytometry results indicated that the early apoptosis was 6.04% and 22.75% in lymphocytes and HPB-ALL cell line, respectively. Moreover, Q-PCR results showed a significant up-regulation of caspase-9 and bax genes and downregulation of bcl-2 gene in comparison to the control group. Conclusions: The silver nanoparticles had cytotoxic effects on the lymphocytes and HPB-ALL cell line. The results showed that the silver nanoparticle had a significant cytotoxic effect on HPB-ALL cell line.