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(R1514) Nano Continuous Mappings via Nano M Open Sets
Get PDFNano M open sets are a union of nano θ semi open sets and nano δ pre open sets. The properties of nano M open sets with their interior and closure operators are discussed in a previous paper. In this paper, we discuss about nano M-continuous and nano M-irresolute functions are introduced in a nano topological spaces along with their continuous and irresolute mappings. Also, nano M-open and nano M-closed functions are introduced and compare with their near open and closed mappings in a nano topological spaces. Further, nano M homeomorphism is also discussed in nano topological spaces. Also, we discuss nano e-Cts, nano e-Irr, nano eo and nano ec functions and nano eHom in nano topological spaces. Also some of their properties are well discussed
Severe Emotional and Behavioral Problems: Barriers for Texas Youth Accessing Mental Health Court Programs
Get PDFConduct disorder is a constellation of continuous emotional and behavioral problems observed in children and adolescents, which may involve violent and non-violent antisocial behaviors. The symptomology of this psychological disorder includes: disregarding rules without clear reason, cruel or aggressive behavior toward people or animals (e.g., bullying, fighting, using dangerous weapons, forcing sexual activity, and stealing), skipping school, excessive substance use, pathological lying, manipulation, running away, and vandalism (American Psychiatric Association (APA), 2013). Texas Juvenile Mental Health Courts are designed to reduce the number of detained youth, divert at-risk children, maintain community safety, and utilize multidisciplinary approaches to treat conduct disordered youth. However, Texas Juvenile Mental Health Courts deny juveniles admission into their programs if they have a history of violent referrals, property offenses, sexual offenses, or significant gang involvement. This article questions the practice of mental health courts and how this particular practice may directly or indirectly affect youth suffering from conduct disorder. The policy recommendations are discussed after this examination
Screening of antioxidant activities of bark of carica papaya l by different methods
No full textIn this study, we have investigated ethanolic extract of bark of Carica papaya L. to identify antioxidant activities by using different methods. The yield of bark extract was found to be 2.81% w/w after extraction. At first, DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) free radical scavenging assay was performed where the IC50 (inhibitory concentration) value of extract was 23.89 µg/ml and the IC50 value of ascorbic acid which is used as standard antioxidant was 12.9 µg/ml. The bark extract showed significant TPC (Total Phenolic Content) of 328.56 mg GAE/gm of dry extract by using Gallic acid calibration curve, TFC (Total Flavonoid Content) of 195.329 mg QE/gm of dry extract by using Quercetin calibration curve and TTC (Total Tannin Content) of 47.239 mg GAE /gm of dry extract by using Gallic acid calibration curve. The above study suggested that Carica papaya L. bark extract showed significant antioxidant activities which may play an important role in drug discovery from natural products
Sperm Functional Genome Associated With Bull Fertility
No full textBull fertility is an important economic trait in sustainable cattle production, as infertile or subfertile bulls give rise to large economic losses. Current methods to assess bull fertility are tedious and not totally accurate. The massive collection of functional data analyses, including genomics, proteomics, metabolomics, transcriptomics, and epigenomics, helps researchers generate extensive knowledge to better understand the unraveling physiological mechanisms underlying subpar male fertility. This review focuses on the sperm phenomes of the functional genome and epigenome that are associated with bull fertility. Findings from multiple sources were integrated to generate new knowledge that is transferable to applied andrology. Diverse methods encompassing analyses of molecular and cellular dynamics in the fertility-associated molecules and conventional sperm parameters can be considered an effective approach to determine bull fertility for efficient and sustainable cattle production. In addition to gene expression information, we also provide methodological information, which is important for the rigor and reliability of the studies. Fertility is a complex trait influenced by several factors and has low heritability, although heritability of scrotal circumference is high and that it is a known fertility maker. There is a need for new knowledge on the expression levels and functions of sperm RNA, proteins, and metabolites. The new knowledge can shed light on additional fertility markers that can be used in combination with scrotal circumference to predict the fertility of breeding bulls. This review provides a comprehensive review of sperm functional characteristics or phenotypes associated with bull fertility
Functional attributes of seminal proteins in bull fertility: A systematic review
No full textProteomic approaches have been widely used in reproductive studies to uncover protein biomarkers of bull fertility. Seminal plasma is one of the most relevant sources of these proteins that may influence sperm physiology. Nonetheless, there are still gaps in existing knowledge in the functional attributes of seminal proteins. Thus, we reviewed the relationships between seminal plasma proteins and bull fertility by conducting a systematic review with data obtained from 71 studies. This review showed that the associations related to fertility improvement with the use of total seminal plasma proteins are still controversial. None of the studies explored the sperm fertilizing ability following these interactions. By contrast, the exposure to a single protein, such as osteopontin, binder of sperm proteins, and heparin binding proteins, can increment sperm motility, capacitation, and fertilizing ability by modulating intracellular calcium concentrations, removing lipids from sperm membranes, and regulating the acrosome reaction. Variations in protein analyses and the protein contents and their abundances between animals contributed to the difficulty of establishing protein biomarkers of fertilizing potential of the bull sperm. Indeed, the heterogenicity of methodologies was a limitation of this review. Standardized methods of seminal protein analyses, as well as sperm endpoints, may minimize such discrepancies. In conclusion, potential biomarkers of sperm parameters are still to be established. Future studies should evaluate protein isoforms and how they interact with sperm to ascertain their biological functions
Deep Radio Frequency Spectrum Learning For Wireless Communication Systems
No full textThe emergence of the fifth-generation wireless communications system (5G) and the exponential increase of the Internet-of-Things (IoT) has led to the increase in demand for scarce spectral resources. The future wireless communication system will be heterogeneous, and radios will co-exist in shared, licensed, and unlicensed bands. Intelligent capabilities are of utmost importance to achieve this level of co-existence, dynamic response to changes in the environment, and efficient resource utilization. This can be achieved through learning by leveraging the availability of historical spectrum data and the capabilities of deep learning. The choice of parameters, algorithm, performance evaluation, and robustness to adversarial attacks is critical to learn appropriately and develop robust models.
In this dissertation, deep learning techniques for learning from radio frequency (RF) data to achieve various wireless communication domain objectives are proposed. In addition, a testbed for data collection using LabVIEW software and universal software radio peripheral (USRP) devices has been built. A novel approach to data selection for training and evaluation of deep learning models is proposed considering essential scenarios in wireless communication systems such as spectrum monitoring, device identication, and automatic modulation classication. The effect of signal to-noise ratio (SNR) in model performance is evaluated. Furthermore, a study of adversarial attacks to establish their impact on wireless communication systems and methods to prevent it is presented. Experimental results demonstrate the effectiveness of the proposed deep learning approach and show the effect of adversarial machine learning in wireless communications
Stability of fucoxanthin in pasteurized skim and whole goat milk
No full textObesity has become a worldwide problem giving rise to several health issues. Fucoxanthin, a marine carotenoid with anti-obesity activity, has potential application as a biofunctional ingredient in human food. The objective of this study was to evaluate the thermal stability of fucoxanthin at pasteurization temperature and, subsequently, its storage stability in goat whole milk (WM) and skim milk (SM) at refrigeration temperature for four weeks. Additionally, the effect of supplementation of fucoxanthin on the composition of milk, pH, acidity, color, and lipid oxidation of WM and SM was evaluated during the four week storage period. Fresh goat WM and SM were supplemented with fucoxanthin at a concentration of 10.67 µg/mL (2.56 mg/240 mL of milk, one serving), pasteurized at 64◦C for 30 min and stored at 4◦C for four weeks. The quantification of fucoxanthin in WM and SM was performed every week using a HPLC method. Moreover, the effect of supplementation of fucoxanthin on the composition of WM and SM was evaluated by a LactiCheck milk analyzer, and the color was evaluated by reflectance using a HunterLab colorimeter. Lipid oxidation, as the 2-thiobarbituric acid-reactive substances (TBARS) at A532, was determined using a Spectramax Plus spectrophotometer during storage. Data were analyzed by a split-plot design using PROC MIXED of SAS. The recovery yields of fucoxanthin from the pasteurized WM and SM were 96.17 ± 1.5 % and 96.89 ± 1.5 %, respectively. Both milks exhibited high recovery yields of fucoxanthin. Fucoxanthin was stable in goat WM and SM during storage at 4◦C for four weeks. The addition of fucoxanthin, at the concentration reported to have an anti-obesity effect in humans, to pasteurized WM and SM did not affect the composition or the physicochemical properties of milks but influenced the color, especially increasing the yellowness in the samples. These results revealed that goat milk can be used as a suitable matrix for the supplementation of fucoxanthin as a biofunctional ingredient in human foods
Performance in Calculus II for students in CLEAR Calculus: A causal comparative study
Get PDFCalculus is one of the greatest intellectual achievements of the world and is the main gateway for students that are heading into the fields that will power the economy of the 21st century. However, over 25% of students fail U.S. calculus courses each year and end up changing majors. It is important for educators and researchers to try to improve student success and find ways to increase STEM major retention. The purpose of this study was to compare the performance between students that are in traditional and non-traditional calculus II courses based on their preparation in either traditional or non-traditional calculus I. By the end of the study, non-traditional calculus II students performed approximately the same on every test and overall in the class. On the other hand, traditional calculus II students that took traditional calculus I performed better on the three tests, but their overall performance in the course was approximately the same as the students that took non-traditional calculus I
Toward cleaner production: Can mobile phone technology help reduce inorganic fertilizer application? evidence using a national level dataset
No full textIncreasing agricultural production and optimizing inorganic fertilizer (IF) use are imperative for agricultural and environmental sustainability. Mobile phone usage (MPU) has the potential to reduce IF application while ensuring environmental and agricultural sustainability goals. The main objectives of this study were to assess MPU, mobile phone promotion policy, and whether the mediation role of human capital can help reduce IF use. This study used baseline regression analysis and propensity score matching, difference-in-differences (PSM-DID) to assess the impact of MPU on IF usage. However, the two-stage instrumental variables method (IVM) was used to study the effects of mobile phone promotion policy on IF usage. This study used a national dataset from 7,987 rural households in Afghanistan to investigate the impacts of MPU and associated promotion policies on IF application. The baseline regression outcomes showed that the MPU significantly reduced IF usage. The evaluation mechanism revealed that mobile phones help reduce IF application by improving the human capital of farmers. Besides, evidence from the DID technique showed that mobile phone promotion policies lowered IF application. These results remained robust after applying the PSM-DID method and two-stage IVM to control endogenous decisions of rural households. This study results imply that enhancing the accessibility of wide-band in remote areas, promoting MPU, and increasing investment in information communication technologies (ICTs) infrastructure can help decrease the IF application in agriculture. Thus, the government should invest in remote areas to facilitate access to ICTs, such as having a telephone and access to a cellular and internet network to provide an environment and facility to apply IF effectively. Further, particular policy support must focus on how vulnerable populations access the internet and mobile phone technologies