Miracle-dz/UniFAR-FTUs huggingface dataset:
OPTIMIZING MESH RECONSTRUCTION AND TEXTURE MAPPING GENERATED FROM A COMBINED SIDE-VIEW AND OVER-VIEW IMAGERY

Abstract. Image-based 3D modelling are rather mature nowadays with well-acquired images through standard photogrammetric processing pipeline, while fusing 3D dataset generated from images with different views for surface reconstruction remains to be a challenge. Meshing algorithms for image-based 3D dataset requires visibility information for surfaces and such information can be difficult to obtain for 3D point clouds generated from images with different views, sources, resolutions and uncertainties. In this paper, we propose a novel multi-source mesh reconstruction and texture mapping pipeline optimized to address such a challenge. Our key contributions are 1) we extended state-of-the-art image-based surface reconstruction method by incorporating geometric information produced by satellite images to create wide-area surface model. 2) We extended a texture mapping method to accommodate images acquired from different sensors, i.e. side-view perspective images and satellite images. Experiments show that our method creates conforming surface model from these two sources, as well as consistent and well-balanced textures from images with drastically different radiometry (satellite images vs. street-view level images). We compared our proposed pipeline with a typical fusion pipeline - Poisson reconstruction and the results show that our pipeline shows distinctive advantages.
Effects of Composition Heterogeneities on Flame Kernel Propagation: A DNS Study

In this study, a new set of direct numerical simulations is generated and used to examine the influence of mixture composition heterogeneities on the propagation of a premixed iso-octane/air spherical turbulent flame, with a representative chemical description. The dynamic effects of both turbulence and combustion heterogeneities are considered, and their competition is assessed. The results of the turbulent homogeneous case are compared with those of heterogeneous cases which are characterized by multiple stratification length scales and segregation rates in the regime of a wrinkled flame. The comparison reveals that stratification does not alter turbulent flame behaviors such as the preferential alignment of the convex flame front with the direction of the compression. However, we find that the overall flame front propagation is slower in the presence of heterogeneities because of the differential on speed propagation. Furthermore, analysis of different displacement speed components is performed by taking multi-species formalism into account. This analysis shows that the global flame propagation front slows down due to the heterogeneities caused by the reaction mechanism and the differential diffusion accompanied by flame surface density variations. Quantification of the effects of each of these mechanisms shows that their intensity increases with the increase in stratification’s length scale and segregation rate.
POLYMORPHISM OF MTRN1A GENE AND ITS ASSOCIATION WITH SOME PRODUCTIVE TRAITS IN IRAQI BUFFALOES (BUBALUS BUBALIS)

This investigate dunder taken in two location for breeding Buffaloes in Baghdad (White Gold Village/Abu Ghhriub ALFadhalya) and Laboratories for Biotechnology and Molecular Genetics Analysis for the period from 1/11/2017 to 1/12/2018. The objective to identify the genotypes for MTRN1A gene and the relationship between these genotypes with some productive for a sample from 50 female buffalo. Genotype differed for the target MTRN1A gene-encoding region due to different genetic bundles resulting from enzymatic digestion. Which were three genotype TT (Wild) TC (Heterozygous) and CC (Mutant) and their distribution ratios were 34.00, 28.00 and 38.00% respectively, and that the differences between these percentages were highly significant (P<0.01), and allele frequency were 0.51 and 0.49 for both alleles A and B respectively. The effect of MTRN1A genotypes in the daily milk production was significant (P<0.05) while the cows with TC genotype gave the highest daily milk production (9.41 ± 0.47 kg). The results of this study showed that the components of the studied milk (protein, fat, lactose, non-fatty soluble solids and ash%). Were influenced highly significantly (P<0.01) by differences between the genotype of MTRN1A gene. Was can concluded from the study of the MTRN1A genotype that the use of these markers to put a strategically method of genetically improvement for the buffaloes in of Iraq to increase of economical income from these buffaloes farms by selection and genotypes crossing which gave a good productive and performance.
Cell Stress, Inflammatory Responses and Cell Death Synopsis

Cells have intrinsic signalling mechanisms that are capable of sensing various deleterious conditions, both normal and pathological, and respond by mounting a variety of stress responses. Examples of normal signals are the cytokines that induce inflammatory responses in cells. Pathological signals include UV and X-ray irradiation, hydrogen peroxide (H2O2), abrupt anoxia and physicochemical injury through heat or noxious chemicals. A process of wound healing can function to repair the damage caused by such injuries. In many cases, especially if the stress signal is not too severe, the cell can survive and can even become tolerant to further insults. If cells are growing, such sub-lethal insults can either cause the cell to stop growing temporarily to allow adequate time to repair the damage, or the process of cell proliferation can be stopped more permanently and the cell will enter a state of senescence. Another example of an evolutionarily conserved survival mechanism is autophagy, which enables cells to cope with periods of starvation. If such stresses become too severe, however, the cell dies, either through a process of necrosis, which is rapid and catastrophic, or through a slower and more controlled process that is carried out by a highly regulated process of programmed cell death known as apoptosis. Although the morphological characteristics of necrosis and apoptosis are clearly distinct, they do share some similarities in that they are induced by similar stimuli and often employ the same signalling mechanism. Necrosis occurs when the cell is overwhelmed by the insult and rapidly disintegrates. The cell volume expands rapidly, the mitochondria become swollen, and the plasma membrane suddenly ruptures, causing release of the cellular contents into the intercellular spaces where they can elicit an inflammatory response. By contrast, apoptosis is a much more orderly affair in that proteases and nucleases within the confines of an intact plasma membrane disassemble the cell that gradually shrinks in size and is then engulfed by neighbouring cells, thus avoiding any inflammatory reactions.
Keystone Mixed Reality

Keystone Mixed Reality is an applicant to the Physical Visualization (Mixed Reality) competitions at RoboCup-2008, from the Autonomous Agents Laboratory at the University of Manitoba, Canada. The team placed third in the competitions in 2007, and performed well across the full range of events. This paper outlines the current and planned future research using the mixed reality approach and the Citizen micro-robots, the improvements to league infrastructure that will be submitted, planned applications for the mixed reality platform, and the application of the approach to education at the team’s home University.
MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems

Understanding the status of high-performance computing platforms and correlating applications to resource usage provide insight into the interactions among platform components. A lot of efforts have been devoted into developing monitoring solutions; however, a large-scale HPC system usually requires a combination of methods/tools to successfully monitor all metrics, which will lead to a huge effort in configuration and monitoring. Besides, monitoring tools are often left behind in the procurement of large-scale HPC systems. These challenges have motivated the development of a next-generation out-of-the-box monitoring tool that can be easily deployed without losing informative metrics. In this work, we introduce MonSTer, an “out-of-the-box” monitoring tool for high-performance computing platforms. MonSTer uses the evolving specification Redfish to retrieve sensor data from Baseboard Management Controller (BMC), and resource management tools such as Univa Grid Engine (UGE) or Slurm to obtain application information and resource usage data. Additionally, it also uses a time-series database (e.g. InfluxDB) for data storage. MonSTer correlates applications to resource usage and reveals insightful knowledge without having additional overhead on the application and computing nodes. This paper presents the design and implementation of MonSTer, as well as experiences gained through real-world deployment on the 467-node Quanah cluster at Texas Tech University's High Performance Computing Center (HPCC) over the past year. In this work, we introduce MonSTer, an “out-of-the-box” monitoring tool for high-performance computing platforms. MonSTer uses the evolving specification Redfish to retrieve sensor data from Baseboard Management Controller (BMC), and resource management tools such as Univa Grid Engine (UGE) or Slurm to obtain application information and resource usage data. Additionally, it also uses a time-series database (e.g. InfluxDB) for data storage. MonSTer correlates applications to resource usage and reveals insightful knowledge without having additional overhead on the application and computing nodes. This paper presents the design and implementation of MonSTer, as well as experiences gained through real-world deployment on the 467-node Quanah cluster at Texas Tech University's High Performance Computing Center (HPCC) over the past year.
Frequency control of spin torque oscillation in magnetic metamaterials for microwave generator

The combination of magnetic metamaterials and spintronics devices has been theoretically investigated. The magnetic metamaterials consisting of magnetic nano-dots realize a microwave generator, in which the oscillation frequency can be controlled by an external applied field and the magnetic interaction among dots, using spin torque oscillation (STO). The oscillation frequency is calculated by an analytic equation of a forced oscillation, that is transformed from the Landau-Lifshitz-Gilbert (LLG) equation. As a result, it is shown that the reduction of the effective Gilbert damping and the increase of oscillation frequency can be achieved independently in the microwave generator with STO.
Computational thinking and TPACK in science education: a southern-Brazil experience

Numerous social, cultural and educational changes have been linked to the growing presence of ICT in human social activities and practices. We recognize, however, the need to have educational concepts and methodologies linked to technologies always allied to a strong theoretical and conceptual basis, in order to qualify the pedagogical process in basic and higher education. These elements support the creation of a center for the popularization of computational thinking and education (N2PCE) and actions related to university-school integration, with a view to qualifying students’ education in these two contexts. The center also intends to assist education professionals in their pedagogical efforts, either in the field of computing, or in areas with specific knowledge in the fields of Mathematics and Physics. This paper illustrates experiences with basic education students, in activities closely associated with the field of science and technology, with computational thinking and the TPACK framework as theoretical and methodological support. Results suggest a significant redefinition of the fields of knowledge and potential intellectual, human and professional growth of the participants, as well as a possibility of popularization and demystification of the areas involved.
Response of Tree Recruitment to Climatic Variability in the Alpine Treeline Ecotone of the Qilian Mountains, Northwestern China

There is ample evidence of the ecological impacts of climate change, and treeline ecotones resulting from environmental gradients are a particularly sensitive indicator of climate change. However, the response of alpine treelines to climatic variability in semiarid mountain regions is not clearly understood. In this study, we analyzed the impacts of temperature and precipitation on tree recruitment in treeline ecotones in the Qilian Mountains of northwestern China from 1957 to 2007. The results showed that climate warming has increased tree recruitment. Tree recruitment was significantly positively correlated with the mean growing season temperature and with the mean minimum temperature in June and in winter. Treeline elevation shifted upward by 5.7 to 13.6 m from 1907 to 1957 and by 6.1 to 10.4 m from 1957 to 1980, but did not appear to change after 1980. Our results suggest that temperature controls treeline dynamics more strongly than precipitation in the Qilian Mountains, and support the hypothesis that treeline dynamics are strongly linked to growing season and winter temperatures. FOR. SCI. 59 (1):118-126.
PHYSIOLOGICAL ANALYSIS OF HYPERTENSION PATIENTS BY MONITORING THE BRAIN WAVES

The inability and the negligence in the detection of diseases is a major reason in the delay of treatment which may prove fatal. It is not possible for regular checkups in this time deprived world. Moreover, regular checkups are not feasible to everyone. The brain is the most interesting part of the human body. It controls the vital functions of the body and therefore any abnormality in the brain will reflect in the entire body and vice versa. The control of the brain is by the transmission of electric signals from and to the various parts of the body. The study and observation of these electrical signals will help us to find a lot of abnormalities which occur in the brain. Hence, this proposed work aims at overcoming the deficiency in time and money needed for the regular checkups. This is achieved by monitoring the brainwaves of the patient. The brainwave pattern of the patient is compared with the normal brainwave pattern. If an anomaly is observed in the patient’s brainwave pattern further comparisons with disease brainwave patterns are made. The disease pattern which matches with the patient’s pattern is identified as the disease. The patient is recommended for further tests on the disease. In this work, only hypertension patients are considered for the study of physiological analysis using Weka tool.
Scaling of Evaporative Water Loss in Marsupials

Evaporative water loss was determined at ambient air temperatures of 10-35 C in 10 species of dasyurid marsupials ranging in body mass from 9 to 900 g. Mass-specific evaporative water loss (ṁwe, mg H₂O/g·h) of these marsupials is unrelated to ambient temperatures (Ta) at and below 30 C and is inversely related to body mass (g) by the relationship $$\dot{m}_{we} = 13.157 M_{b}^{-0.423}$$. At 32.5 and 35 C, the elevations of the allometric relationships of ṁwe to Mb are 24% and 51% higher than at 10-30 C. Data taken from the literature at Ta's ≤ 30 C show that nondasyurid marsupials have a similar allometric relationship, and the relationship for evaporative water loss in all marsupials is $$\dot{m}_{we} = 13.533 M_{b}^{-0.384}$$. Evaporative water loss of the marsupials is equivalent to, if not higher than, similarly sized groups of eutherians, including heteromyid and other rodents. Dasyurid marsupials have a lower ratio of ṁwe to metabolic water production (ṁwe) at the same temperature and lower Ta's at ṁwm = ṁwe; these variables are unrelated to mass in dasyurids. Dasyurids also dissipate a greater amount of metabolic heat production than do heteromyids.
WOMEN, LIVELIHOODS AND DIVERSIFICATION IN RURAL NORTHERN GHANA

Vulnerability to poverty remains a major challenge among rural households in Northern Ghana. Households continue to depend largely on agriculture-based livelihoods, which have not resolved the problem of poverty in the Northern region, particularly for women, who because of their gender have limited access to farming resources. Diversification debates in the development literature have not sufficiently unpacked the context and issues for women. This empirical study offers an insight into the more nuanced gendered and cultural dimensions of diversification which are vital to understand and recognize when developing non-farm initiatives/support in rural northern Ghana. Data was collected through interviews, key informant interviews, focus group discussions, and analyzed based on themes and relationships. The results showed that women have limited access to both decision-making and resource access for their nonfarm activities. The results further showed that personal attributes of women enhance their decision- making and resource access. It was noted that vulnerable and poor women in particular, see non-farm activities as an alternative route to the norm of land access where they have limited access for farming because of their gender. It is important for rural policy that aims to reduce rural household poverty in Northern Ghana to consider providing support such as credit, training, and market for the women engaged in the non-farm farm activities. The non-farm livelihood serves as an opportunity for women to earn independent income outside traditional farming, where they have limited opportunities. Keywords: Women, Non-Farm, Livelihood Diversification, Decision-Making, Resource , Access and Poverty
Effective Compressed Multi-function Convolutional Neural Network Model Selection Using A New Compensatory Genetic Algorithm-Based Method

An important research problem is how to automatically and efﬁciently ﬁnd the best Convolutional Neural Network (CNN) with both high classiﬁcation performance and compact architecture with high training and prediction speeds, small power usage, and small memory size for Artiﬁ-cial Intelligence of Things (AIoT) applications. A“Single-function CNN” (SCNN) using one activation function, such as Google’s Inception-V4 using ReLU, may not always be optimal for different image classiﬁcation problems. A “Multi-function CNN” (MCNN), which uses different activation functions for different neurons, can outperform a SCNN. A “Compressed Multi-function CNN” (CMCNN) is made from a larger MCNN such that the number of convolutional layers is reduced. A new compensatory algorithm using a new ge-netic algorithm (GA) is created to ﬁnd the best CMCNN with an ideal compensation between performance and architecture size. Simulations using the CIFAR10 dataset showed that the new compensatory algorithm could ﬁnd CMCNNs that could outperform non-compressed MCNNs in terms of clas-siﬁcation performance (F1-score), speed, power usage, and memory usage. Effective, fast, power-efﬁcient, and memory-efﬁcient CMCNNs based on other popular CNN architectures, such as a ResNet, will be developed and optimized for users to solve important AIoT application problems.
Preparation and Evaluation of Floating Microspheres of Pramipexole HCL

The present study was to formulate and characterize oral floating microspheres of Pramipexole to sustain the gastric residence time and to target gastritis. The floating microspheres were prepared by ionotropic gelation technique. Sodium alginate was used as polymer, sodium bicarbonate as gas generating agent, calcium chloride as cross-linking agent, HPMC K4, as rate retarding agent. Microspheres were characterized for the Micromeretic properties, incorporation efficiency, buoyancy test, SEM analysis, FTIR, and in vitro diffusion studies. The diffusion studies were carried out in 0.1N HCl and the results were applied to various kinetic models. Among the total 14 formulations F12 was found to be optimized on the basis of different evaluation parameters. The % yield of F12 formulation was found to be 98.58%. On the basis of optical microscopy, the particle size was 65.12±0. 04μm. The % buoyancy, % entrapment efficiency and swelling index of F12 formulation was 98.12%, 96.56% and 97.10, respectively. The Cumulative % drug release of F12 formulation was 98.3±5.10% in 12h. SEM studies showed the particles were in spherical shape. On the basis of obtained results, Floating microspheres were of good candidate for targeting to GIT.
A Study of Psychological Well-Being among Police Personnel

This study explores psychosocial well-being among male and female police personnel. Empathy and forgiveness are explored as correlates of psychological well-being. Gender and rank differences on all three variables are also assessed. Personnel in age range of 30 to 45 years, having experience of minimum three years in dealing directly with citizens were selected from Jalandhar range of Punjab police, belonging to Assistant Sub Inspector {ASI} and Sub Inspector {SI} ranks. Respondents were administered Ryff’s psychological well-being scale (Ryff& Keyes, 1995), Heartland Forgiveness Scale (Thompson, Snyder & Hoffman, 2005) and Toronto Empathy Questionnaire (Spreng, McKinnon, Mar & Levine, 2009). Descriptive statistics (mean and S.D.), correlation analysis, t-test and 2x2 ANOVA was applied. Results revealed that empathy positively correlate with psychological well-being among police personnel and significant gender differences exist on forgiveness while significant rank differences exist on empathy and psychological well-being.
Health Promotion in Israeli Colleges of Higher Education—The Example of Oranim College of Education

A teacher-training college that promotes a healthy learning environment contributes to the educational character of teachers of the future. These teachers adopt healthy lifestyles of their own and influence the lifestyles and learning of their pupils in kindergartens and schools. This article outlines the implementation of a health promotion program in a teacher-training college in northern Israel—Oranim College of Education. We describe the changes made at the college over three years—from the commitment of college executives to the health promotion policy initiative launched by the Ministry of Education, the appointment of a health leader (health promotion coordinator), staff and student engagement in change, rededication of college resources to healthy lifestyles and learning, promotion of healthy eating and exercise, changes in teaching, new courses and more interaction with the community, to health promotion by teachers in training in local kindergartens and schools. Using real examples, we show how effective policy implementation rests on the active participation of all stakeholders.
A Double Edged Sword Role of Interleukin-22 in Wound Healing and Tissue Regeneration

Wound healing and tissue regeneration is an intricate biological process that involves repair of cellular damage and maintenance of tissue integrity. Cascades involved in wound healing and tissue regeneration highly overlap with cancer causing pathways. Usually, subsequent tissue damage events include release of a number of cytokines to accomplish post-trauma restoration. IL-22 is one of the cytokines that are immediately produced to initiate immune response against several tissue impairments. IL-22 is a fundamental mediator in inflammation, mucous production, protective role against pathogens, wound healing, and tissue regeneration. However, accumulating evidence suggests pivotal role of IL-22 in instigation of various cancers due to its pro-inflammatory and tissue repairing activity. In this review, we summarize how healing effects of IL-22, when executed in an uncontrollable fashion can lead to carcinogenesis.