Miracle-dz/UniFAR-FTUs huggingface dataset:
Topical Microsponge Gel: A Novel Carrier For The Management Of Pain And Inflammation

– The most common drug for treatment of pain and inflammation is NSAIDS. But this NSAIDS having the hazardous side effect on oral administration. To overcome the side effect of NSAIDS and to reduce the frequencies of dosing of formulation we need to prepare the formulation with prolong release. This can be achieved by preparation of microsponge of dexibuprofen in carbopol gel. Microsponge was prepared using Eudragit RS 100 as polymer and method was adapted the quasi emulsification solvent diffusion. Microsponges were incorporated in carbopol 940. Microsponge and microsponge containing gel were evaluated for Production Yield, Encapsulation Efficiency, Particle size analysis, Morphology, physiochemical parameter, drug release, analgesic and anti-inflammatory activity. From the in-vitro and ex-vivo release studies it was shown that formulation give prolong release up to 24 hours. Good analgesic and anti-inflammatory activity was obtained as compared to marketed formulation. From this study it was found that microsponge gel formulation has safe and potential as alternative dosage form for the application on painful and inflamed condition. the This method was used to measure the anti nociceptive effect of test formulations to an acute thermal stimulus. Acute thermal stimuli study was carried out in mice using hot plate analgesiometer. This study was carried out for 1, 2, 3, and 4hrs. Test formulation and marketed formulation was applied on dorsal surface area of mice. Latency to the heat stimulus was measured by the number of times the animal licks one of its paws in cut off time of 15 seconds. The analgesic activity was measured as % maximal possible effects.
Comparison of Tropical Rainfall between the Observed GPCP Data and the Assimilation Products of ECMW

Combined tropical precipitation of Global Precipitation Climatology Project (GPCP) version 1 is compared with the assimilated precipitation obtained from the European Center for Medium-Range Weather Forecast (ECMWF), the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR), and the NASA Goddard Earth Observing System (GEOS-1) reanalysis projects. The analysis focuses on the domain within 30°S-30°N, and the period is from July 1987 to December 1993. Annual-mean precipitation shows that the ECMWF overestimates the precipitation over tropical oceans as compared to the GPCP. On the other hand, the NCEP/NCAR and NASA-GEOS-1 underestimate precipitation of the Inter-Tropical Convergence Zone (ITCZ) and South Pacific Convergence Zone (SPCZ). Horizontal distributions of the difference in intra-annual and inter-annual precipitation variations between the GPCP and the three reanalysis datasets are similar to those of the difference in annual-mean precipitation. Overall, the ECMWF exhibits the highest standard deviation of precipitation over tropical oceans, followed by the GPCP, NASA-GEOS-1, and NCEP/NCAR. The correlation features of the area-averaged precipitation with the sea surface temperatures over the eastern equatorial Pacific Ocean are also compared among the four products, and their differences are discussed.
Investigating the mediating role of moral identity on the relationship between spiritual intelligence and Muslims’ self-esteem

their value as members of the organisation (Lowe & Harris 2019). Self-esteem has attracted the attention of many psychologists and educational researchers. Self-esteem means a person’s judgment of their worth; this judgment is made by comparing their own performance against the standards of others and coping with the result. Self-esteem is how you feel about yourself (Orth & Robins 2013). One of the critical crises observed in human society, especially in the so-called advanced and industrial societies, is the spiritual crisis. Spirituality in various types of cultural and religious concepts is considered a spiritual path one in which can achieve something like a high level of consciousness, wisdom or union with God. In addition, self-esteem is a sense of worth. This feeling comes from the sum of our thoughts, feelings, emotions and experiences throughout life. Dignity also means honour and pride, which has been mentioned many times in the Qur’an. In contrast to dignity, there is humiliation, which means lack of dignity in which one simply accepts defeat. Religious teachings, especially Islamic teachings, do not summarise dignity as wealth, luxury and the enjoyment of material possibilities, but interprets dignity as spirituality, and liberation from the shackles of worldliness, which give Muslims a moral identity. The main purpose of this study is to investigate the mediating role of moral identity between spiritual intelligence and self-esteem of Muslims. The statistical population includes 834 Muslim employees working in 20 branches of one Iranian university. Necessary data were collected by standard questionnaires. Pearson’s correlation coefficient and regression analysis in SPSS software (Statistical Package for the Social Sciences) were used to analyse the data. According to the results of the analysis, there is a positive relationship between spiritual intelligence and self-esteem of Muslims. There is also a positive relationship between moral identity and self-esteem. Furthermore, moral identity plays a mediating role in the relationship between spiritual intelligence and self-esteem, and it strengthens this relationship. Contribution: The present study proves the mediating role of ethical identity on the relationship between spiritual intelligence and self-esteem in an Islamic society.
Variability in Patient-Incurred Costs and Protocols of Regenerative Medicine Procedures for Musculoskeletal Conditions in the United States

Background: The use of regenerative medicine as an “off label” treatment for musculoskeletal conditions has increased in recent years. However, the literature is sparse regarding the costs of these treatments to patients. Purposes: We sought to determine the patient-incurred costs for regenerative medicine treatments performed by physicians for musculoskeletal conditions in the United States, according to primary specialty, geographic region, practice setting, and years in practice. We also sought to characterize pre- and posttreatment protocols and image guidance use. Methods: We performed a cross-sectional study with data collection occurring between April 2020 and April 2021. It began with the distribution of an online survey through an email campaign by the American College of Sports Medicine to its members. Approximately 90 emails were sent by our research team as well. Throughout the year, various participant recruitment methods were used (through Twitter, for example). Survey data included physician demographics, practice/training information, types/costs of regenerative medicine treatments performed, and pre-/postprocedure protocols. Results: One hundred physicians who self-reported performing standalone regenerative medicine procedures participated in this online survey. According to the responses, the most common treatments performed were platelet-rich plasma (PRP; 100%), bone marrow concentrate (BMC; 41%), microfragmented adipose grafting (36%), prolotherapy (33%), and bone marrow aspirate (BMA; 21%) administered to the peripheral joints, tendons/muscles, ligaments, and/or spine. Overall, the respondents reported large variations in treatment costs to patients; BMA and BMC were the most expensive and had the largest ranges in costs for all anatomical locations. Costs for PRP were lower than those for BMA and BMC, with less variation. Physicians in private practice reported higher PRP, BMC, and BMA costs in the peripheral joints than those in academic settings. Most physicians recommended avoiding non-steroidal anti-inflammatory drugs pre- and postprocedure, and 74% recommended physical therapy postprocedure. Conclusions: Findings from a survey of physicians who provide regenerative medicine procedures as off-label treatment for musculoskeletal conditions suggest that there is variation in related patient-incurred costs. Future studies should explore associations between treatment costs and outcomes.
The Effectiveness of Kahoot on Technical Vocabulary Learning and Motivation of Engineering Students

: The main purpose of this research is to investigate the effectiveness of on-line game Kahoot on technical vocabulary learning and motivation among preparatory year engineering students. To achieve the purpose of the study, a pre- post-test was constructed to measure students' level in technical vocabulary learning and a questionnaire to measure the students’ motivation towards learning technical vocabulary. The participants of the study, totaling 60 divided into two groups (experimental and control), were selected from AL Salam Higher Institute for Engineering and Technology during the second semester of the academic year 2019/2020. Both the control group and experimental group received their lectures online. In addition, the experimental group used the on –line game Kahoot to do extra quizzes on technical vocabulary. Independent T. test was used to analyze the results of the study. The findings of the study indicated that there were statistically significant differences in the post- test and post questionnaire between the control and the experimental groups in favor of the experimental group. In addition, there were statistically significant differences between the results of the pre- and post-test and questionnaire of the experimental group in favor of posttest and questionnaire. These findings revealed that the on-line game Kahoot had a positive effectiveness on the students’ technical vocabulary learning and their motivation towards learning technical vocabulary.
Teacher Professionalism Development

The professionalism of educators is closely related to the quality of education, because the learning process as the core of education will depend on professional educators. The purpose of this study, researchers can determine the development of teacher professionalism from the aspects; 1) preparation; 2) implementation; 3) evaluation of the model for developing the professionalism of kindergarten teachers. This study uses a descriptive qualitative approach with the design of several sites with data collection through interviews, observation, and documentation. The stages include reduction, presentation, and conclusion drawing with research conducted at TK Aisyiyah 39 Al Ummah Banjarmasin and TK Aisyiyah 42 Banjarmasin. The results showed; 1) preparation consists of agenda from the Education Office, input from supervisors and cluster development planning; 2) the implementation of development consists of the implementation of development from the education office, at the school and cluster levels; 3) the development evaluation by the education office needs to be increased again on the development frequency agenda, the development material is directed at practical abilities, and the intensity of the PTK development material needs to be increased.
Escalation of Tau Accumulation after a Traumatic Brain Injury: Findings from Positron Emission Tomography

Traumatic brain injury (TBI) has come to be recognized as a risk factor for Alzheimer’s disease (AD), with poorly understood underlying mechanisms. We hypothesized that a history of TBI would be associated with greater tau deposition in elders with high-risk for dementia. A Groups of 20 participants with self-reported history of TBI and 100 without any such history were scanned using [18F]-AV1451 positron emission tomography as part of the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Scans were stratified into four groups according to TBI history, and by clinical dementia rating scores into cognitively normal (CDR = 0) and those showing cognitive decline (CDR ≥ 0.5). We pursued voxel-based group comparison of [18F]-AV1451 uptake to identify the effect of TBI history on brain tau deposition, and for voxel-wise correlation analyses between [18F]-AV1451 uptake and different neuropsychological measures and cerebrospinal fluid (CSF) biomarkers. Compared to the TBI-/CDR ≥ 0.5 group, the TBI+/CDR ≥ 0.5 group showed increased tau deposition in the temporal pole, hippocampus, fusiform gyrus, and inferior and middle temporal gyri. Furthermore, the extent of tau deposition in the brain of those with TBI history positively correlated with the extent of cognitive decline, CSF-tau, and CSF-amyloid. This might suggest TBI to increase the risk for tauopathies and Alzheimer’s disease later in life.
Exploring Facebook Identity Construction of Vietnamese Netizens

Studying the ways in which people construct their identities in online environments is a pressing contemporary concern. The research reported in this article was designed to examine the uses of, and influences on, Vietnamese respondents’ identity formation on Facebook. Data were collected by means of a social survey and the application of the Zaltman metaphor elicitation technique, a procedure that searches fo r customers’ thoughts and emotions by digging deep into the visual and non -visual illustrations that customers collect or make on their own. The findings show how Vietnamese Facebook users present themselves and how they thereby facilitate their self-expansion and maintain their sense of self-esteem. According to the analysis, it can be suggested that Facebook is where adults portray their socially conformed versions against social reflection. They use this platform to seek validation, demonstrate their professional side to make them look better in the eyes of society. Drivers of online identity formation are revealed through negotiating with conflicts in their existing identities. The level of self-modification amongst respondents is adjusted in relation to their social vigilance, conformity and motivations in and between social categorization.
Life-Changing Coping Mechanisms and Resilience Strategies of Post-Natal Unmarried Teenage Mothers in the Central Region, Ghana

Aim: The paper aimed at exploring the life-changing coping and interventional strategies adopted by unmarried teenage mothers in Enyan Denkyira in the Central Region of Ghana. Methods: The paper adopted the phenomenological design and through Snowballing and Purposive techniques, sampled 15 unmarried teenage mothers, 10 church leaders, and 2 District Assembly officials who accounted for their daily coping mechanisms and interventional strategies existing for teenage mothers in the Enyan Denkyira District. Results: The study revealed that teenage mothers in Enyan Denkyira continued to engage in labor-intensive occupations such as fetching water for construction works and washing other people's clothes to make ends meet. It was evident that when the support they got from sympathizers did not come and their other sources of income also failed, they were pushed into relying on men which made them become perpetual victims of unprepared pregnancy and premature motherhood. Conclusion: It was therefore recommended that the Livelihood Empowerment Against Poverty (LEAP) money should be expanded to benefit more teenage mothers. Also, religious bodies, institutions, and the family must be encouraged and supported by the government to continue to play their roles as sources of social protection for teenage mothers instead of neglecting them.
Comparison of DNA methylation measurements from EPIC BeadChip and SeqCap targeted bisulphite sequencing in PON1 and nine additional candidate genes

ABSTRACT Epigenome-wide association studies (EWAS) are widely implemented in epidemiology, and the Illumina HumanMethylationEPIC BeadChip (EPIC) DNA microarray is the most-used technology. Recently, next-generation sequencing (NGS)-based methods, which assess DNA methylation at single-base resolution, have become more affordable and technically feasible. While the content of microarray technology is fixed, NGS-based approaches, such as the Roche Nimblegen, SeqCap Epi Enrichment System (SeqCap), offer the flexibility of targeting most CpGs in a gene. With the current usage of microarrays and emerging NGS-based technologies, it is important to establish whether data generated from the two platforms are comparable. We harnessed 112 samples from the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) birth cohort study and compared DNA methylation between the EPIC microarray and SeqCap for PON1 and nine additional candidate genes, by evaluating epigenomic coverage and correlations. We conducted multivariable linear regression and principal component analyses to assess the ability of the EPIC array and SeqCap to detect biological differences in gene methylation by the PON1 −108 single nucleotide polymorphism. We found an overall high concordance (r = 0.84) between SeqCap and EPIC DNA methylation, among highly methylated and minimally methylated regions. However, substantial disagreement was present between the two methods in moderately methylated regions, with SeqCap measurements exhibiting greater within-site variation. Additionally, SeqCap did not capture PON1 SNP associated differences in DNA methylation that were evident with the EPIC array. Our findings indicate that microarrays perform well for analysing DNA methylation in large cohort studies but with limited coverage.
Marine Drifting Trajectory Prediction Based on LSTM-DNN Algorithm

In this paper, the long short-term memory with dense neural network (LSTM-DNN) is first introduced to calculate marine drifting trajectory. Based on the Internet of Things technology and the LSTM-DNN algorithm, the marine drifting trajectory model is established. In this model, the information such as wind field, temperature field, ocean current motion field, and target attributes are included, and the influences of the above information on the trajectory model are studied in detail. In order to verify the proposed model, the marine experiments are carried out in the end. The results show that the predicted trajectory data matches well with the experimental trajectory data. By introducing DNN into the algorithm, computational accuracy of drifting trajectory can be significantly improved compared with the conventional LSTM-based prediction model. A detailed comparison of the two algorithms has also been given in the paper. The proposed remote sensing of marine drifting trajectory model can provide a high accurate trajectory prediction and will lead an important guidance in the marine search and rescue work.
Novel extractive visible spectrophotometric method for determination of antihypertensive drug irbesartan with sulfonephthalein acid dyes in tablets

Irbesartan (IRB) is one of the drugs used for the treatment of hypertension. The present work develops and validates two methods for the evaluation of irbesartan in bulk and tablets. Sulfonephthalein acid dyes, bromophenol blue (BPB), and bromocresol purple (BCP) were used to produce stable yellow ion-association complexes with the basic drug IRB in dry chloroform. The colored products are quantified spectrophotometrically at their corresponding λmax. The relation between the absorbed signal and the drug concentration was linear up to 45.0 μg mL-1 (n = 6, r ≥ 0.9998). LOD reaches 40 ng mL-1. The composition of the ion associates was found 1:1 by Job’s and mole ratio methods. Application of the suggested methods to dosage forms is presented with percentage recoveries ranging from 99.33% to 101.67%. The results of the analysis were validated statistically and compared with the official method. No interference was observed from common pharmaceutical adjuvants.
Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells

The newly emerging field of systems biology involves a judicious interplay between high‐throughput ‘wet’ experimentation, computational modelling and technology development, coupled to the world of ideas and theory. This interplay involves iterative cycles, such that systems biology is not at all confined to hypothesis‐dependent studies, with intelligent, principled, hypothesis‐generating studies being of high importance and consequently very far from aimless fishing expeditions. I seek to illustrate each of these facets. Novel technology development in metabolomics can increase substantially the dynamic range and number of metabolites that one can detect, and these can be exploited as disease markers and in the consequent and principled generation of hypotheses that are consistent with the data and achieve this in a value‐free manner. Much of classical biochemistry and signalling pathway analysis has concentrated on the analyses of changes in the concentrations of intermediates, with ‘local’ equations − such as that of Michaelis and Menten v=({{V}}max·{{S}})/({{S}}+{{K}} m) − that describe individual steps being based solely on the instantaneous values of these concentrations. Recent work using single cells (that are not subject to the intellectually unsupportable averaging of the variable displayed by heterogeneous cells possessing nonlinear kinetics) has led to the recognition that some protein signalling pathways may encode their signals not (just) as concentrations (AM or amplitude‐modulated in a radio analogy) but via changes in the dynamics of those concentrations (the signals are FM or frequency‐modulated). This contributes in principle to a straightforward solution of the crosstalk problem, leads to a profound reassessment of how to understand the downstream effects of dynamic changes in the concentrations of elements in these pathways, and stresses the role of signal processing (and not merely the intermediates) in biological signalling. It is this signal processing that lies at the heart of understanding the languages of cells. The resolution of many of the modern and postgenomic problems of biochemistry requires the development of a myriad of new technologies (and maybe a new culture), and thus regular input from the physical sciences, engineering, mathematics and computer science. One solution, that we are adopting in the Manchester Interdisciplinary Biocentre (http://www.mib.ac.uk/) and the Manchester Centre for Integrative Systems Biology (http://www.mcisb.org/), is thus to colocate individuals with the necessary combinations of skills. Novel disciplines that require such an integrative approach continue to emerge. These include fields such as chemical genomics, synthetic biology, distributed computational environments for biological data and modelling, single cell diagnostics/bionanotechnology, and computational linguistics/text mining.
Teaching and Learning Patterns in School Mathematics: Psychological and Pedagogical Considerations

-1 Introduction. -2 The Context of Generalization. -3 Types and Levels of Pattern Generalization. -4 The Theory of Graded Representations in Pattern Generalization. -5 Gestures, Words, and Incipient Generalizations. -6 Variables and Algebraic Generalizations. - 7 Patterns, Generalization, and Arithmetic Learning. -8 Patterns, Functional Thinking, and Algebraic Learning. -9 Pedagogical Issues and Implications. -10 Conclusions.