Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Instruction

This research is about the importance of the expected achievement of preservice Chinese language teachers based on their orientation, attitude, and motivation in teaching education programs. The cluster sampling and random sampling methods were implemented to select the samples from 16 Institute of Teacher Education Malaysia (IPGM). A total of 389 respondents were selected in the study and the data was analysed by using Smart PLS 3.0 software. This study applied a two-stage analysis in a reflective-formative way to analysis the multidimensional constructs on the learning situation. The findings showed a significant positive relationship of teachers’ integration orientation, instrumental orientation, and attitudes towards learning situations with their Chinese language achievements. The motivation of intensity acted as a mediator factor and showed a partial positive effect in the relationship between integration orientation, instrumental orientation and attitudes towards learning situation with Chinese language achievement. It is due to relationship between motivation and positive attitude as well as the orientation of integration has shaped the integration motivation in the socio-learning model. Thus, the results of the study can be used as a reference source of multivariate relationship study between the orientation, attitudes, motivation, and achievement of future refractive-formative research.
Psychological Distress and Social Support among post Abortion Women

Background: Abortion: is the premature exit of the products of conception (the fetus, fetal membranes, and placenta) from the uterus. Numerous studies reveal that women who have had an abortion experience a high incidence of depression and stress. Aim of the study. Assess the psychological distress and social support among post abortion women . Subjects and method: Correlation descriptive research design was used for this study. This study was conducted at Assiut general hospital at post operation ward. Women arrived from operation room at obstetric and gynecological unit were chosen randomly. A total sample are 280 women were included in this study. Three tools were used for this study, sociodemogrphic data . depression, anxiety , stress scale (DASS) to measure the negative emotional status of depression , anxiety , and stress and . a Multidimensional scale of perceived of social support . Results There is no a significant relation between sociodemographic data and level of depression, anxiety and social support , while there is a significant relation between sociodemographic data and level of stress. Conclusion. increased aged of women not related to increase level of depression , anxiety and social support ,but increased at aged of women leaded to increased level of stress. Recommendation:- Health education about causes of abortion, help women to adaptive coping and express feeling. family support. and teaching women to visit out clinical unit regularly.
The natural distribution and characteristics of the rare and endangered plants in Jiangsu, China

Jiangsu Province is located along the lower reaches of the Yangtze River in the northern part of the subtropical zone. Its plain has been cultivated, and the hilly and mountainous land makes up 15% of the total area, and its great majority is widely brought under cultivation with artificial forests and woody economic crops such as Phyllostachys pubescens,Camellia sinensis,Castanea mollissima,Cunninghamia lanceolata and Pinus massoniana,etc. Natural vegetation is formed by deciduous broad_leaved forest that contains evergreen broad_leaved elements, which can be found only in the ridge of some hills and the fringe of some gullies, and have been classified as a framentational distribution type. There are 17 species of rare and endangered plants in Jiangsu. Of them, Parrotia subaequalis, Magnolia zenii, Magnolia ameona, Pseudolarix amabilis, Changnienia amoena, Ulmus chenmoui, Glehnia littoralis and Cinnamomum camphora are distributed in sporadic area and have become rare. Sinojackia xylocarpa, Emmenopterys henryi, Isotes sinensis and Ceratopteris thalictroides were found in some areas, but seemed extinct in recent years. Because of over_utilization, the habitats of Pteroceltis tatarinowii, Zelkova schneideriana and Changium smyrnioides have been rapidly deteriorated. Brachystachyum densiflorum and Glycine soja have often been found in their suitable habitats. These species are classified into 16 genera of 13 families. Of them, the antique floristic elements—Parrotia, Changium, Sinojackia, Emmenopterys, Pseudolarix, Pteroceltis, Glehnia and Changnienia are monotypic genera or oligotypic genera with an isolated position in phylogenies. Most of the rare and endangered plants are distributed in the south of Jiangsu, while some of them, such as Emmenopterys henryi, Pseudolarix amabilis and Magnolia ameona, are located on the northern fringe of their distribution area. The habitat fragmentation caused by human activities, the edge_effects of their marginal distribution and human destruction have synthetically led to the degeneration of primary habitats, reduction of population sizes and endangerment of these species.
OPTIMIZATION USING

An important step in shape optimization with partial diﬀerential equation con-5 straints is to adapt the geometry during each optimization iteration. Common strategies are to 6 employ mesh-deformation or re-meshing, where one or the other typically lacks robustness or is 7 computationally expensive. This paper proposes a diﬀerent approach, in which the computational 8 domain is represented by multiple, independent non-matching meshes. The individual meshes can 9 move independently, hence mesh deformation or re-meshing is entirely avoided if the geometry can 10 be parameterized by a combination of rigid motions and scaling. For general geometry changes, we 11 present a deformation scheme tailored to non-matching meshes. This deformation scheme is robust 12 because the non-matching mesh interfaces are free to move, and computationally cheap because the 13 scheme is applied only on a subset of the meshes. To solve the state and corresponding adjoint equa-14 tions we use the multimesh ﬁnite element method. This method weakly enforces continuity over the 15 non-matching mesh interfaces by using Nitsche and additional stability terms. To obtain the shape 16 derivatives we analyze both the strong formulation (Hadamard formulation) and weak formulation 17 (method of mappings). We demonstrate the capabilities of our approach on the optimal placement 18 of heat emitting wires in a cable to minimize the chance of overheating, the drag minimization in 19 Stokes ﬂow, and the orientation of nine objects in Stokes ﬂow. 20
Antimicrobial activity of silver nanoparticles

Endophytic fungi are symbionts that grow inside the plants without causing any apparent disease. The o bj ctive of this study is to synthesize silver nanoparticles (S NP) using the aqueous extract from the endophytic f ungi Aspergillus sp. of Justicia beddomei and to evalua te its antimicrobial activity. The extract was obta ined by inoculating previously grown Aspergillus sp. on PDB media for 3 days with agitation. The filtrate was dded to silver nitrate solution and left in the dark for sy nthesis of SNP. The characterization was done by m easuring absorbance in UVVisible spectrophotometer. The an timicrobial assay was performed using agar well dif fusion technique and the zone of inhibition was observed . The inhibitory action was observed to be less wi th the cell free filtrate extract. Hence SNPs proved to be a potent inhibitor of pathogenic organisms including both ba cteria and fungi. The study opens a possibility for the green synthe sis of SNPs using endophytic fungi that can be easily and economically prepared from the fungal extract.
Development and Characterization of Colon-targeting 5-Fluorouracil Multiparticulate Beads

This investigation is related to the development and optimization of multiparticulate beads of fenugreek seed mucilage-sodium alginate containing 5-flurouracil through ionotropic gelation technique using 32 full factorial design generated with Design-Expert® Version11 software. The beads were developed using CaCl2 as the crosslinking agent. The effect of ratio of fenugreek seed mucilage and sodium alginate blend and concentration of CaCl2 on the drug encapsulation efi¬ciency, bead size and percent cumulative drug release in 6 h was optimized by 32 factorial design. The beads were also characterized using field emission scanning electron microscopy, Fourier transform infrared spectroscopy and thermal analysis. The percent drug encapsulation efi¬ciency of all these beads was within the range of 43.91 to 85.39 % with an in vitro drug release of 33.92 to 39.23 % in 6 h. The optimized batches of beads were coated with Eudragit S100 (5, 10 and 15 % w/v) to facilitate colon targeting in a prominent way. The in vitro drug release from the coated beads (P3) in various colonic fluids followed zero-order pattern with erosion mechanism in 18 h. The average size of these beads was within the range of 895 to 1021 µm. The optimized fenugreek seed mucilage-alginate beads containing 5-flurouracil showed signii¬cant drug permeability over a prolonged period in an ex vivo permeability study through goat colon. The results indicated successful colon targeting of 5-flurouracil multiparticulate beads developed using polymeric blends containing sodium alginate and fenugreek seed mucilage in an appropriate ratio.
Optical Flow Estimation via Steered-L 1 Norm

Global variational methods for estimating optical ﬂow are among the best performing methods due to the sub-pixel accuracy and the ‘ﬁll-in’ effect they provide. The ﬁll-in effect allows optical ﬂow displacements to be estimated even in low and untextured areas of the image. The estimation of such displacements are induced by the smoothness term. The L 1 norm provides a robust regularisation term for the optical ﬂow energy function with a very good performance for edge-preserving. However this norm suffers from several issues, among these is the isotropic nature of this norm which reduces the ﬁll-in effect and eventually the accuracy of estimation in areas near motion boundaries. In this paper we propose an enhancement to the L 1 norm that improves the ﬁll-in effect for this smoothness term. In order to do this we analyse the structure tensor matrix and use its eigenvectors to steer the smoothness term into components that are ‘orthogonal to’ and ‘aligned with’ image structures. This is done in primal-dual formulation. Results show a reduced end-point error and improved accuracy compared to the conventional L 1 norm.
Characteristics of Purple Sweet Potato Yogurt and Its Effect on Lipid Profiles of Sprague Dawley Rats Fed with High Fat Diet

The objectives of this study were to evaluate the effect of purple sweet potato (PSP) yogurt on the lipid profile of Sprague Dawley rats. The PSP yogurt was made from fresh PSP (F-PSP) and its powder (P-PSP). The viscosity, pH, total titratable acid, proximate, antioxidant activity, anthocyanin content, and total lactic acid bacteria (LAB) between those yogurts were compared. Selected yogurt was given to Sprague Dawley rats for 4 weeks. Serum lipid profiles were determined after 2 and 4 weeks of treatment. F-PSP yogurt has better physical, chemical and microbiological properties compared to P-PSP yogurt. The serum cholesterol and triglyceride levels in F-PSP yogurt group was not significantly different compared to control group (P>0.05). However, the reduction of serum LDL cholesterol in F-PSP yogurt group was significantly higher than control group. The serum HDL cholesterol in the yogurt group decreased after 2 weeks of treatment, but it increased after 4 weeks of treatment. F-PSP yogurt could be used as an alternative functional food that could lower the blood cholesterol level because of the ability to reduce the LDL cholesterol level.
Construction of a Homologous Recombination Plasmid Vector pMD-Fib-IE-EGFP Carrying EGFP as Reportor Gene

A new plasmid vector pMD-Fib-IE-EGFP which contains enhanced green fluorescent protein gene as reportor gene was constructed by subtitute EGFP for GFP in the original plasmid pG350. The recombinant plasmid was identified by restriction endonuclease enzyme analysis and PCR. The recombined plasmid was transferred to stomach cancer cell mediated by lipofectine. The transfected cell expressed strong fluorescence. The constructed plasmid vector provided foreign DNA material for transgenic silkworm.
Manuela M. Veloso

We research and develop autonomous mobile service robots as Collaborative Robots, i.e., CoBots. For the last three years, our four CoBots have autonomously navigated in our multi-ﬂoor ofﬁce buildings for more than 1,000km, as the result of the integration of multiple perceptual, cognitive, and actuations representations and algorithms. In this paper, we identify a few core aspects of our CoBots underlying their robust functionality. The reliable mobility in the varying indoor environments comes from a novel episodic non-Markov localization. Service tasks requested by users are the input to a scheduler that can consider different types of constraints, including transfers among multiple robots. With symbiotic autonomy, the CoBots proactively seek external sources of help to ﬁll-in for their inevitable occasional limitations. We present sampled results from a deployment and conclude with a brief review of other features of our service robots.
Monitoring of ammonium pollution from dairy cows farm according of urea content in milk

The objective of this study was to evaluation of urea content in milk to assess the potential of ammonia pollution from farms. Dairy cows in farms were located in different Latvia region with different holding system. Research was conducted under production conditions in four different agricultural holdings located in various places of Latvia and represent different animal housing and feeding technologies. Monthly together with herd control was recorded milk yield and take milk samples was analysed for fat, total protein and lactose (%), urea content (mg dL) and somatic cell count (SCC). Milk content parameters for total 14,873 milk samples were analysed in accredited milk quality laboratory. The statistical analyses were performed with the SPSS program package. The results acquired show that in three farms (A, B and D) urea content in 59–71% of milk samples comprised 15.1–30.0 mg dL–1. However, also in these holdings urea content in 29–41% of samples was below or above the optimum threshold. Unpleasant situation was observed in holding C; there urea content only in 16% of milk samples was within the optimum limits. Calculations of forecasted ammonium pollution emitted daily from agricultural holdings using tie stall housing may comprise 91.4–104.0 g from cow, while amount emitted by freestall holdings using housing may constitute 93.9–95.9 g from cow daily. By using these data, each farm may make calculations and forecast farming efficiency and environmental threats.
An Overview of Semantic Search Engines

Semantic Search is a search technique that improves searching precision by understanding the purpose of the search and the contextual significance of words as they appear in the searchable data space, whether on the web to generate more relevant result. We highlight here about Semantic Search, Semantic Web and discuss about different type of Semantic search engine and differences between keyword base search and Semantic Search and the advantage of Semantic Search. We also give a brief overview of the history of semantic search and its feature scope in the world
Brand Properties and Purchasing Behaviour

In this thesis, I have offered insights on how to grasp the interplay between brand propertiesacting as background and the product on which the consumer focuses. In order to sell your product and raise brand equity; choosing the right brand properties is key. This research has incentivized brand recognition and willingness to pay based on slogans versus celebrity endorsers as brand properties. We explain why, how and what companies want to influence with regards to brand properties and purchase decisions. The experimental results have shown that there is a significant difference between brand recognition rates of slogans compared to pictures of celebrity endorsers. However, the difference in recognition rates do not lead to a significant difference in willingness to pay.
The Effect of Progesterone Therapy in Severe Traumatic Brain Injury Patients on Serum Levels of s-100β, Interleukin 6, and Aquaporin-4

BACKGROUND: Severe TBI is leading in death and disability worldwide. The initial stage resulted from direct tissue damage and impaired autoregulation of cerebral blood flow. The level of S-100β, IL-6 and AQ4 in CSF increased in neuronal injury and BBB damage. PROG effect is assessed on biomarkers of S-100β, IL-6, and AQP4. AIM: The study examined the 1st to 4th day of progesterone administration. METHODS: The sample consisted of 23 participants in the control group and 16 participants in the treated group. Patients with GCS 4–8, not surgical, aged 15-50 years, coming in the first 24 h and patient’s family agreed to this research are included. The sample was taken from the serum, and the biomarker processed using ELISA. GOS 3 months used as prognostic. RESULTS: The result showed the mean value serum level of S100β, AQP4, and IL-6 increased on 24 h and 96 h after given PROG. Change of mean value of S100β day to day was 44.75 (96 h)–40.57 (24 h) – 4.18. In control group, change of S100β decrease to 42.51 (96 h)–46.11 (24 h) = −3.60, showing effect still unclearly proven in repairing neuronal injury, BBB disruption or another consideration on concentration of S100β, AQP4, and IL-6 in serum. CONCLUSION: S-100β serum levels is significant to predict outcome of severe TBI. Progesterone still unclearly proven in repairing neuronal injury and/or BBB disruption. Another consideration is temporal trajectory of S100β, AQP4, and IL-6. In future study, natural endogenous PROG should be sought. S-100β in future pharmaceutical trials may be possible as pharmacological target.
TRUST IN INTIMATE RELATIONSHIPS THE INCREASED IMPORTANCE OF EMBEDDEDNESS FOR MARRIAGE IN THE UNITED STATES

Due to the rise of a market for casual relationships, investing in a serious relationship now requires more trust than it did four decades ago. We develop a theory of trust and embeddedness in intimate relationships. One implication of the theory is that given the increased importance of trust, the effects of embeddedness on marriage chances should have increased. Analyses were performed on data from the Chicago Health and Social Life Survey. Various measures of embeddedness were employed. The hypothesis on the increasing importance of embeddedness for marriage found empirical support in the effects of each of these measures.
Quality of service enabled intelligent water drop algorithm based routing protocol for dynamic link failure detection in wireless sensor network

Objectives: To propose a better routing protocol method to increase the lifespan of the network and to make the sensed data to reach from source to destination without any data loss. Methods: This study proposes a routing protocol inspired by nature namely, Quality of Service enabled Intelligent Water Drop Algorithm based Routing Protocol to detect link failures and provide eﬃcient routing. Findings: Comparison has been made with baseline protocols to check its eﬀectiveness and found that the proposed protocol has better performance than the baseline protocols. This research work enhances and adopts the intelligent water drop algorithm with the properties of velocity of water drops and water drops carrying level of soil for ﬁnding the better stable route for communication and detecting the link failures dynamically. The results determine that the proposed routing protocol is able to perform better than existing protocols and methods in terms of Energy Depletion rate, Survivability of nodes during transmission, delivering the packets from one end to another end, delay, failure tolerance and increase in Network Lifespan.
The study and applications of photochemical-dynamical gravity wave model I Model description

A two-dimensional, nonlinear, compressible, diabatic, nonhydrostatic photochemicaldynamical gravity wave model has been advanced. The model includes diabetic process produced by photochemistry and the effect of gravity wave on atmospheric chemical species. In the horizontal direction, the pseudospectral method is used. The finite difference approximations are used in vertical direction z and time t. The FICE method is used to solve the model. The model results on small amplitude fluctuation are very close to those of linear theory, which demonstrates the correctness of the model.
Shape and local order in dendritic systems

Dendrimers are typical soft matter molecules with a well defined internal tree-like structure, that are characterized by their ability to form considerable particle overlaps in dense systems. In the bulk an antinematic local order has been identified which represents strong indications for the occurrence of an A15 lattice. In this thesis we focus on the characterization of amphiphilic dendrimers in the bulk liquid. We use monomer-resolved molecular dynamic simulations and analyse the shape and relative orientation of these particles via the eigenvalues and eigenvectors of the gyration tensor. With this tool we further examine the short-range spatial and orientational order of these amphiphilic dendrimers at a variety of temperatures and packing fractions. Finally the degree of amphiphilicity of the dendrimers is modified in order to understand the reasons for the preference of the antinematic phase.
Bound Gas in Near-Surface Sediment – Indication for Thermogenic Hydrocarbons in the Northern Barents Sea?; #42504 (2020)

The northern Norwegian Barents Sea is an under-explored region, for which significant petroleum potential is expected, but little direct geochemical information on petroleum systems is available. The analysis of bound (adsorbed) gas in near-surface sediment, established more than 80 years ago, is a tool frequently applied in hydrocarbon exploration of ‘frontier’ areas. The method assumes that traces of hydrocarbons that migrated from subsurface petroleum systems to the surface are trapped in nearsurface sediment and that their geochemical and stable isotope signature remains unaltered and reflects the genetic origin. Previous studies observed differences between bound gas and interstitial (headspace) gas, caused by alteration or mixing and thus ‘classical’ interpretation schemes for gas origin based on relative abundance and δ13C of methane may be unreliable. To improve knowledge on petroleum systems in the northern Barents Sea, seismic data and near-surface sediment samples were collected south of Svalbard.
Geophysical Methods Implemented for Geological Structures Characterization in El Salvador Geothermal Fields

One of the most difficult challenges in geothermal exploration is to identify the geological structures which contribute to confine and transport the geothermal resource. Within the exploration work in El Salvador geothermal fields, several geophysical methods have been implemented in order to characterize the more important local systems faults and obtained successful results. DC resistivity techniques such as Misse a la masse, Head on profile, dipole dipole as well as electromagnetic method MT proved to be useful for this purpose. The integrated analysis of the results of these techniques with gravity anomalies and passive seismic data recorded at the geothermal fields have contributed to identify buried geological structures, which do not have evidence at the surface. Some case examples are presented in this work.