Miracle-dz/UniFAR-FTUs huggingface dataset:
Solid phase extraction of explosives on Ni-doped carbosils prepared by mechanochemistry

The article presents the application of two sets of Ni-doped carbosils in the solid phase extraction of explosives. The adsorbents were prepared by two different methods. The first set of carbosils was obtained by mechanochemical deposition of potato starch and nickel salt on the surface of silica gel, and subsequent carbonization. The second set of carbosils was obtained from the same precursors and under quite similar conditions, i.e. with the exception of mechanochemical deposition of potato starch replaced by the gelation step. The prepared adsorbents were applied in solid phase extraction of explosive nitrate esters, and nitroaromatics from aqueous solutions. The adsorption and desorption steps were evaluated separately. It was found that textural properties, influenced by carbon deposit and nickel content, have a large impact on the solid phase extraction results. The recovery rates obtained onto carbosils prepared by mechanochemical method are approximately thrice as high as those observed for carbosils prepared by gelation method. It was shown that the composites with moderate nickel content can be used as effective materials for extraction both of aliphatic and aromatic explosives.
Rhizobacteria and their metabolites as a promising green approach for the treatment of pesticide contaminated agricultural soils

Pesticides are employed to control and manage pest populations at tolerable levels. Pesticides are classified especially according to their chemical structure, toxicity, environmental persistence and target organisms. The massive use of these pollutants in addition to their toxic potential seriously threatens ecosystems and humans. For this reason, the development of green bioremediation processes is necessary. The ability of several microorganisms to bioremediate pesticides is mainly based on their biodegradation activity. Though bacteria have been proved to be efficient biodegraders and bioremediators, some fungi and archae could biodegrade recalcitrant pesticides too. The bioremediation of pesticide-contaminated agricultural sites may be optimized by considering the prevalent environmental conditions, the microorganisms that solubilize and degrade the pesticides most effectively, the variables that affect the biodegradation rate and the chemical structure of pesticides. This chapter explores the importance of pesticides as persistent organic pollutants in agricultural soils, particularly in the plants rhizospheric area and further illustrates the recent advances in pesticide microbial bioremediation, with emphasis on the metabolic potential of pseudomonads as a representative model of pesticide-degrading microorganisms.
The Effect of Oxytocin Massage by Using Lemongrass Oil (Cymbopogon citratus) Aromatherapy to the Increased of Breast milk Production in Breastfeeding Mothers in Mojo Health Center, Kediri, Indonesia

Breast milk is the best food for babies. In the field of midwifery there are several ways to help increase milk production. Oxytocin massage is a massage on both sides of the mothers' limbs to provide stimulation of oxytocin reflex because it gives comfort to mother. Massage using aromatherapy essential oil is useful to anticipate depression because of relaxation effect caused by smells and massage. The purpose of this research is to know the effect of oxytocin massage using lemongrass aromatherapy oil to increase milk production in breastfeeding mothers in Mojo Health Center. This research used comparative research of 2 dependent samples and comparative research of 2 independent samples designs. The sampling technique used was accidental sampling with random allocation of 16 respondents. Based on the Mc Nemar test in the group that was given the oxytocin massage using Serai Lemongrass aromatherapy oil, χ2 counting value was 4,167. Because of χ2 counting value > χ2 table (3.841), this indicated that there was effect of the oxytocin massage using lemongrass aromatherapy oil in the production of breast milk. Keywords: oxytocin massage; lemongrass aromatherapy oil; breast milk; breastfeeding
A New Surprise Measure for Extracting Interesting Relationships between Persons

One way to enhance user engagement in search engines is to suggest interesting facts to the user. Although relationships between persons are important as a target for text mining, there are few effective approaches for extracting the interesting relationships between persons. We therefore propose a method for extracting interesting relationships between persons from natural language texts by focusing on their surprisingness. Our method first extracts all personal relationships from dependency trees for the texts and then calculates surprise scores for distributed representations of the extracted relationships in an unsupervised manner. The unique point of our method is that it does not require any labeled dataset with annotation for the surprising personal relationships. The results of the human evaluation show that the proposed method could extract more interesting relationships between persons from Japanese Wikipedia articles than a popularity-based baseline method. We demonstrate our proposed method as a chrome plugin on google search.
Understanding the complementary nature of paid and volunteer crowds for content creation

Crowdsourced content creation like articles or slogans can be powered by crowds of volunteers or workers from paid task markets. Volunteers often have expertise and are intrinsically motivated, but are a limited resource, and are not always reliably available. On the other hand, paid crowd workers are reliably available, can be guided to produce high-quality content, but cost money. How can these different populations of crowd workers be leveraged together to power cost-effective yet high-quality crowd-powered content-creation systems? To answer this question, we need to understand the strengths and weaknesses of each. We conducted an online study where we hired paid crowd workers and recruited volunteers from social media to complete three content creation tasks for three real-world non-profit organizations that focus on empowering women. These tasks ranged in complexity from simply generating keywords or slogans to creating a draft biographical article. Our results show that paid crowds completed work and structured content following editorial guidelines more effectively. However, volunteer crowds provide content that is more original. Based on the findings, we suggest that crowd-powered content-creation systems could gain the best of both worlds by leveraging volunteers to scaffold the direction that original content should take; while having paid crowd workers structure content and prepare it for real world use.
Impact of an environmental epidemiology board game on knowledge, experience, and attitudes among children: A pilot study

Children are especially vulnerable to environmental harms, thus increasing their knowledge about risk factors caused by environmental exposures, in addition to epidemiology by providing practical experiences through a non-computer based educational game in environmental epidemiology may lead to more promising behavioral outcomes. Because no educational game exists in environmental epidemiology, we augmented an existing epidemiology game by adding an environmental health theme, involving practical decision-making and problem solving in environmental epidemiology. A cross-sectional survey assessed the game's impact, on children's knowledge, experience, and attitudes regarding environmental health, and experience and attitudes toward epidemiology following game exposure in 2016. Participants from Croatia had a median age of 11.5 years with interquartile range (IQR) 11-13. The majority of children indicated they had learned a lot about the environmental health concepts newly added to an existing epidemiology game. Our modified game offers interactive and practical examples, which may facilitate teaching environmental epidemiology to elementary school students.
Residual Stress and Domain Switching in Freeze-Cast Porous Barium Titanate

In this paper, we provide the first direct evidence of enhanced domain mobility in porous barium titanate, compared to a dense sample of the same composition, facilitated by a relaxation in intergranular stress. We demonstrate that porosity can act to unclamp domains in ferroelectric ceramics, increasing the extrinsic contribution to bulk piezoelectric properties, and providing a novel route for functional property engineering in the future. Porous barium titanate with highly aligned, anisometric pores and pore volume fraction, vp = 0.52, was fabricated by the freeze casting method; dense barium titanate (relative density, Ρrel = 0.94) was fabricated for comparison. High energy synchrotron X-ray diffraction experiments with in-situ electric field dependent measurements were used to investigate the residual stress, lattice strain and domain switching contributions to electrostrain in the porous and dense barium titanate ceramics. The domain switching fraction was calculated as a function of the applied electric field. Almost twice as many domains were observed to switch in the porous barium titanate compared to the dense material at 3 kV/mm (41.7% and 21.7%, respectively), which we attribute to the significant reduction in the intergranular stress due to the high volume of zero-stiffness pores. Using a micromechanical approach, the residual stress was estimated to be 70 MPa in the dense barium titanate at 3 kV/mm compared to 40 MPa in the porous material under the same electric field, reducing to 30 MPa and 10 MPa, respectively, in the remanent state. Whilst the fraction of domain switching was enhanced, the intrinsic contribution to the piezoelectric properties was slightly reduced in the porous barium titanate compared to the dense ceramic. The findings presented in this paper demonstrate that as well as providing a route to tailor application-specific effective bulk properties, compliant and low permittivity second phases can be used to engineer the behaviour of ferroelectric composites at the lattice and domain level. This broadens significantly the microstructural design space for ferroelectric composites, which are of particular interest for piezo- and pyroelectric sensors and energy harvesters, in the future.
Integrative Use of Neural Networks and Internet of Things for Smart Agriculture

Agriculture is a wide developing area in India. A lot of research is going on in the agriculture sector for supporting the farmers. Neural Networks and the Internet of Things, Wireless sensor technology have been used in the agriculture sector. Integration of neural networks with the internet of things implemented for smart management of agriculture. Wireless sensor networks collect the information from agriculture fields and have provided these collected data to IoT clouds. The neural network analyses the data and takes proper controlling and management actions of agriculture activities. The integrated system of neural networks with IoT supports for increasing the yield in the agriculture field. The paper provides the experimental results of the integrative use of neural networks and the internet of things for smart agriculture.
Thermal Properties of Two Dimensional Layered Materials

The rise of graphene has motivated intensive investigation into other two‐dimensional layered materials (2DLMs). In addition to their superior optical, electrical, and mechanical properties, 2DLMs have also demonstrated intriguing thermal properties, the understanding of which is not only fundamentally important but also critical to enabling widespread applications in electronics, optoelectronics, and energy conversion and storage devices. Here, we review recent progress in the thermal transport of 2DLMs. Indeed, due to unique and diversified two dimensional crystal structures and the contribution of different phonon modes to thermal transport, while the family of 2DLMs share common thermal properties, such as layer‐dependent thermal conductivity, each member also has unique features related to thermal transport. Ultimately, the unusual and rich thermal properties of two‐dimensional materials can lay a solid foundation for understanding new phonon transport physics and potentially lead to novel applications in various emerging fields.
Influence of Bacillus Subtilis and Stress Phythormones on the Content of H2O2, Expression of Protective Proteins Genes and Proteome of Potato Leaves When Infected with Phytophthora infestans Mont de Bary in Conditions of Soil Dry

: The effect of bacteria Bacillus subtilis strain 26D in combination with stress phytohormones—salicylic (SA) and jasmonic (JA) acids, on the content of H 2 O 2 , transcriptional activity of genes of pathogen-induced (PR) proteins (PR-1, PR-6, PR-9) and a change in the spectrum of potato ( Solanum tuberosum L.) leaves proteins in connection with development of resistance to the causative agent of late blight—oomycete Phytophthora infestans (Mont.) de Bary against the background of a lack of moisture in soil have been investigated. Plants grown from microtubers on a soil substrate treated with B. subtilis suspension (10 8 cells/mL) and with a mixture of bacteria with SA (10 −6 M), JA (10 −7 M), SA + JA (1:1 ratio), then were infected with P. infestans zoospores (10 7 spores/mL) and cultivated under artificial drought conditions. Some of treated plants were left uninfected. A significant decrease in degree of P. infestans leaf infection was revealed under influence of B. subtilis treatment in combination with JA. An increase in potato resistance was mediated by a stimulating effect on the concentration of H 2 O 2 and on the transcriptional activity of PR-protein genes in plant tissues. Using two-dimensional electrophoresis we have revealed the differences in the presence of 19 polypeptides in the pI range 4.0 to 9.0 and MW range 30 to 125 kDa. It was shown that treatment of B. subtilis plants most significantly changes the spectrum of individual proteins in both healthy and infected plants. Probably, stress phytohormones activate plant defense mechanisms aimed at the generation of H 2 O 2 and preventing the change in the spectrum of protective proteins induced by symbiotic bacteria. The most significant factor determining the change in the proteome of P. infestans infected potato plants against the background of drought is the combination of B. subtilis with JA.
Microbial Degradation of High Molecular Weight Polycyclic Aromatic Hydrocarbons with Emphasis on Pyrene

ABSTRACT Biodegradation of polycyclic aromatic hydrocarbons (PAHs) is a major concern in the environment due to their toxic nature and ubiquitous occurrence. PAHs remain sorbed to soil organics and interact with non-aqueous phases and therefore, become less available for degradation. Several microorganisms like bacteria, fungi, and algae have the capability to degrade soil-sorbed PAHs using different metabolic pathways. The focus of this review is microbial degradation of high molecular weight PAH pyrene by pure and mixed culture, including biological aspects of biosurfactants produced during the process for increasing the bioavailability of soil-sorbed or non-aqueous phase pyrene. High molecular weight PAHs are generally recalcitrant to microbial attack, although some bacteria, fungi, and algae are capable of transforming these compounds by using them as the sole source of carbon and energy. Also, the use of microbial consortium has been found to be more efficient and better from an economic point of view for degradation due to synergistic interactions among microbial species. The review also explains the role of catabolic genes involved in the degradation of pyrene.
Optimizing expression of a single copy transgene in C. elegans

The utility of single copy transgenic insertions in C. elegans is often limited by low expression. We examined the effects of modifying the trans-splicing signal, the Kozak ribosome binding site, the N-terminal amino acid of the reporter and the 3′ UTR sequences on the expression level of a mec-4 promoter GFP transgene. The trans-splicing signal and the 3′ UTR had most dramatic effects on expression while modifying the Kozak signal or the N-terminal amino acid had less influence on expression.
Follicular development and the expression of BAX and vascular endothelial growth factor in transplanted ovaries in uni- and bilateral ovariectomized mice: An experimental study

Abstract Background Several conflicting results have been reported on the survival and function of transplanted ovaries. Objective Evaluation of the follicular development and the expression of vascular endothelial growth factor (VEGF) and Bcl-2-associated X protein (BAX) in ovaries transplanted into uni- and bilaterally ovariectomized mice. Materials and Methods In this experimental study, 40 female NMRI mice (21-days-old, 12-15 gr) were ovariectomized uni- and bilaterally (n = 20/ group), while the 8-wk-old mice were considered as intact control group (n = 6). 5 weeks after transplantation at the proestrus stage, the morphology of recovered transplanted ovaries and the proportion of follicles were studied at different developmental stages. The apoptosis cell death by pro-apoptotic protein BAX and the expression of VEGF were evaluated using immunohistochemistry. Results In the bilaterally ovariectomized mice, among the 455 counted normal follicles, a lower rate of primordial and primary follicles and a higher rate of preantral and antral follicles were observed (p = 0.002). However, the percentages of preantral and antral follicles, and the corpus luteum were significantly lower in the intact control group (among the 508 counted normal follicles in this group) compared to other transplanted groups (p = 0.002). The number of BAX-positive cells in all groups was not significantly different. The VEGF expression was prominent in vessels of the corpus luteum, and also in the theca layer of large follicles of studied groups. Conclusion Early discharge of ovarian reserve was prominent in the bilaterally ovariectomized group but the incidence of apoptotic cells and VEGF expression as angiogenic factor did not differ in both ovariectomized mice. Thus, unilaterally ovariectomy has less side effects on the ovarian reserve compared to bilateral ovariectomy.
Do psychiatric disorders affect patient reported outcomes and clinical outcomes post total hip and knee arthroplasty?

Introduction: The purpose of this study is to evaluate the role of major psychiatric illness on patient outcomes after total joint arthroplasty. Methods: Patients with a diagnosis of a major psychiatric disorder undergoing total joint arthroplasty were retrospectively matched one-to-one with a cohort without such a diagnosis. Major psychiatric disorder in the registry was identified by diagnosis of anxiety, mood, or a psychotic disorder. Primary outcome of interest included perioperative Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Secondary outcomes included EuroQol-5D, adverse events, length of stay, 30-day readmission, and discharge destination. Results: Total number of patients were 1828. The total hip arthroplasty (37.80 ± 17.91, p = 0.023) and the total knee arthroplasty psychiatric group (43.38 ± 18.41, p = 0.050) had significantly lower pre-operative WOMAC scores. At 3 months, the total hip arthroplasty (76.74 ± 16.94, p = 0.036) and total knee arthroplasty psychiatric group (71.09 ± 18.64, p < 0.01) again had significantly lower 3-month post-operative WOMAC score compared to the control groups. However, outcomes at 1 year were difficult to interpret, as patients with major psychiatric conditions had an extremely high loss to follow-up. Compared to the control groups, the total hip arthroplasty and total knee arthroplasty psychiatric group had an increased length of stay by 1.43 days (p < 0.01) and 0.77 days, respectively (p = 0.05). Similarly, the psychiatric groups were discharged directly home less often (total hip arthroplasty 86.9%, p = 0.024 and total knee arthroplasty 87.6%, p = 0.022) than the control groups. Conclusion: Patients with the diagnosis of a major psychiatric illness have an increased length of stay and are more likely to require a rehabilitation facility, compared to the control groups. Arguably, of utmost importance, there is a very high rate of loss to follow-up within the psychiatric groups. As such, we recommend these patients should be treated for their diagnosis prior to total joint arthroplasty. Furthermore, importance of clinical follow-up should be emphasized carefully.
Laboratory testing for ADAMTS13: Utility for TTP diagnosis/exclusion and beyond

The metalloproteinase ADAMTS13 (a disintegrin with a thrombospondin type 1 motif, member 13), also known as VWF (von Willebrand factor) protease, may be assessed in a vast array of clinical conditions. Notably, a severe deficiency of ADAMTS13 characterizes TTP (thrombotic thrombocytopenic purpura), a rare but potentially fatal disorder associated with thrombosis due to accumulation of prothrombotic ultra‐large VWF multimers. Although prompt identification/exclusion of TTP can be facilitated by rapid ADAMTS13 testing, the most commonly utilized assays are based on ELISA (enzyme linked immunosorbent assay) and require long turnaround time and have relatively limited throughput. Nevertheless, several rapid ADAMTS13 assays are now available, at least in select geographies. The current mini‐review discusses these issues, as well as the potential utility of ADAMTS13 testing in a range of other conditions, including coronavirus disease 2019 (COVID‐19).
Authentication through gender classification from iris images using support vector machine

Soft biometric information, such as gender, iris, and voice, can be helpful in various applications, such as security, authentication, and validation. Iris is secure biometrics with low forgery and error rates due to its highly certain features are being used in the last few decades. Iris recognition could be used both independently and in part for secure recognition and authentication systems. Existing iris‐based gender classification techniques have low accuracy rates as well as high computational complexity. Accordingly, this paper presents an authentication approach through gender classification from iris images using support vector machine (SVM) that has an excellent response to sustained changes using the Zernike, Legendre invariant moments, and Gradient‐oriented histogram. In this study, invariant moments are used as feature extraction from iris images. After extracting these descriptors' attributes, the attributes are categorized through keycode fusion. SVM is employed for gender classification using a fused feature vector. The proposed approach is evaluated on the CVBL data set and results are compared in state of the art based on local binary patterns and Gabor filters. The proposed approach came out with 98% gender classification rate with low computational complexity that could be used as an authentication measure.