Miracle-dz/UniFAR-FTUs huggingface dataset:
HPTLC METHOD DEVELOPMENT AND VALIDATION FOR DENSITOMETRIC ANALYSIS OF CARBOCISTEINE IN DRUG FORMULATION

Objective: Development of a simple, selective, precise, high-performance thin layer chromatographic method for the analysis of carbocisteine, mucolytic drug in pharmaceutical dosage form. Methods: The proposed HPTLC method employed TLC aluminum plates precoated with silica gel 60 F-254 as the stationary phase. The solvent system consisted of butanol: water: ethanol: acetic acid (5:1.5:2:1.5 v/v/v/v). This system was found to give compact spots for carbocisteine with Rf value of 0.34. Results: The reported method is linear over the range of 50-800 ng/spot with a coefficient of correlation 0.9992. The precision study revealed that the percentage relative standard deviation was within the acceptable limit. The developed method was validated according to ICH Guidelines. Conclusion: An economical, accurate, sensitive and precise HPTLC method was developed and fully validated for quality control analysis of carbocisteine in tablets. The developed method was validated with respect to specificity, limit of detection, limit of quantification, precision, linearity, accuracy and robustness. Validation results were found to be satisfactory. The proposed method can be used for routine analysis of carbocisteine in quality control laboratories.
Self-esteem and Social Appearance Anxiety: An Investigation of Secondary School Students

In a previous study published in Elementary Education Online, Doğan(2011) examined the psychometric properties of the social appearance anxiety scale in an adolescent sample after his first adaptation study on undergraduate students in Turkey (Doğan, 2010). He recommended that researchers do further research to investigate the relationships between social appearance anxiety, communication skills, depression, anxiety, and self-esteem, but researchers generally disregarded his advice. Following Doğan's (2011) recommendation, this study reports on the association between selfesteem and social appearance anxiety in secondary school students. A total of 2222 (1133 female and 1089 male) adolescents aged 11-15 years were selected from Merzifon City, in the central Black Sea region of Turkey. Participants’ mean age was 12.76, with a standard deviation of . 96. Self-reporting measures consisting of a Personel Information Form, the Rosenberg Self-Esteem Scale, and the Social Appearance Anxiety Scale were administered to students under the supervision of teachers. Data were analyzed using Pearson Correlation Analyses. Results indicated that there was a significant negative relationship between self-esteem and social appearance anxiety for each gender. These findings suggest that adolescents with low-self-esteem may exhibit higher levels of social appearance anxiety or vice versa. The implications of these findings, especially for guidance and counseling services in Turkey, and potential applications for guidance counselors and researchers are also discussed.
Action2Vec: A Crossmodal Embedding Approach to Action Learning

We describe a novel cross-modal embedding space for actions, named Action2Vec, which combines linguistic cues from class labels with spatio-temporal features derived from video clips. Our approach uses a hierarchical recurrent network to capture the temporal structure of video features. We train our embedding using a joint loss that combines classification accuracy with similarity to Word2Vec semantics. We evaluate Action2Vec by performing zero shot action recognition and obtain state of the art results on three standard datasets. In addition, we present two novel analogy tests which quantify the extent to which our joint embedding captures distributional semantics. This is the first joint embedding space to combine verbs and action videos, and the first to be thoroughly evaluated with respect to its distributional semantics.
The Relationship between Eating Disorders and Stress among Medical Undergraduate: A Cross-Sectional Study

Introduction: Eating disorders are compulsive behaviours that can consume a person’s life to the point of becoming life threatening. Medical college can be a very stressful time and previous studies had found that stress could be a main factor leading to higher risk of eating disorder. We aimed to determine the association between stress and eating disorders among undergraduate medical students. Methods: A cross-sectional study was conducted among 320 respondents comprises of Year 3, 4 and 5 medical students in private medical college in Malaysia, assessed using self-administered questionnaires which consist of social demographic data, EAT-26 and Cohen Perceived Stress Scale. The response rate of this study was 77.4%. Results: With regards to EAT-26, 11.0% of medical students were at risk of developing eating disorder and from this students who have obese BMI status (25%) had 3.9 times more likely to develop eating disorder (95% CI: 1.4 - 10.9). There was significant association between those with unsatisfactory social relationship with friends and peers (OR 2.5, 95% CI 1.0 - 5.9; p value 0.035) and risk of developing eating disorders (OR 3.9, 95% CI 1.4 - 10.9; p value 0.007). For Cohen Perceived Stress Scale (CPSS), 75.5% of the respondents were having high stress level. There was no significant association between stress and the risk of eating disorders with OR 1.0, 95% CI: 0.6 - 1.7; p value 0.887. Conclusion: Majority of medical undergraduates were under stressed and there was a risky trend toward eating disorders in medical. However, based on our results it did not portray any significant association between stress and risk of developing eating disorders. Nevertheless, it should not be completely neglected. It is important to increase the awareness of medical undergraduates regarding eating disorders and its complications.
Measuring Neurite Dynamics in Co-culture Using IncuCyte ZOOM ® Live-content Imaging Platform and NeuroLight Red TM Fluorescent Label

Neurite dynamics play a fundamental role in the development and function of the nervous system. Formation and maintenance of synaptic networks are necessary for nervous system function and plasticity through continuous changes in the fine structure of neurons. Neurite dynamics can be altered in disease states or following exposure to neurotoxic agents providing a rationale for understanding and quantifying this process (Conforti et al., 2007). An ideal method to track neurite dynamics would allow continuous automated measurement of structural parameters, including length and number of branch points, in a non-perturbing manner. We have previously developed a quantitative mono-culture approach for investigating changes in neurite length and branching using phase images taken with an IncuCyte ZOOM live-content imaging platform in conjunction with NeuroTrackTM analysis software. However, in co-cultures containing neurons and astrocytes, neuronal processes cannot be unambiguously identified and measured using phase images alone. As such, we have developed a fluorescent reagent (NeuroLight Red) that specifically labels neurons in co-culture with astrocytes (Figure 1). Utilising a VSV-G pseudotyped lentivirus that encodes a red fluorescent protein (mKate2) driven off a synapsin promoter, neuronal expression is strengthened and non-neuronal crossover is minimized. Here we describe assay methods using this fluorescent label, alongside NeuroTrack algorithms, to quantitatively assess changes in neurite morphology over time in either rat primary or human iPSC-derived neuron/astrocyte co-cultures.
Relationship between apolipoprotein E gene polymorphism and Parkinson ’ s disease : a meta-analysis

The Apolipoprotein E (APOE) gene, with its 3 common isoforms (E2, E3 and E4), was such a candidate risk gene in Parkinson’s disease explored by many case-control studies, but the conclusion still remains contradictory and inconclusive. To identify the association between APOE gene polymorphism and the risk of PD, we performed this meta-analysis. A total of 63 eligible published studies including 8546 PD cases and 10403 health controls were searched up to 5th, 2015 in the final analysis. All literature was searched in PUBMED, EMBASE, Web of science, Wanfang Data and China National Knowledge Infrastructure. Overall, no significant association was found between APOE gene polymorphism and Parkinson’s disease risk under four genetic models (E2 allele vs. E3 allele: OR = 1.16, 95% = 0.967-1.398, P = 0.11; E4 allele vs. E3 allele: OR = 1.10, 95% = 0.9998-1.2179, P = 0.0507; E2 carriers vs. E3 carriers: OR = 1.07, 95% CI = 0.873-1.305, P = 0.52; E4 carriers vs. E3E3: OR = 1.12, 95% CI = 0.9921.264, P = 0.066). The results of subgroup analysis by ethnicity showed no significant association was observed in both Caucasians and Asians. No potential publication bias was detected in any genetic model in our meta-analysis which suggested the stability of our results. In conclusion, our study suggests that APOE gene polymorphism were not associated with PD risk.
Earth's Future An apparent hiatus in global warming?

Global warming first became evident beyond the bounds of natural variability in the 1970s, but increases in global mean surface temperatures have stalled in the 2000s. Increases in atmospheric greenhouse gases, notably carbon dioxide, create an energy imbalance at the top-of-atmosphere (TOA) even as the planet warms to adjust to this imbalance, which is estimated to be 0.5-1 W m −2 over the 2000s. Annual global fluctuations in TOA energy of up to 0.2 W m −2 occur from natural variations in clouds, aerosols, and changes in the Sun. At times of major volcanic eruptions the effects can be much larger. Yet global mean surface temperatures fluctuate much more than these can account for. An energy imbalance is manifested not just as surface atmospheric or ground warming but also as melting sea and land ice, and heating of the oceans. More than 90% of the heat goes into the oceans and, with melting land ice, causes sea level to rise. For the past decade, more than 30% of the heat has apparently penetrated below 700 m depth that is traceable to changes in surface winds mainly over the Pacific in association with a switch to a negative phase of the Pacific Decadal Oscillation (PDO) in 1999. Surface warming was much more in evidence during the 1976-1998 positive phase of the PDO, suggesting that natural decadal variability modulates the rate of change of global surface temperatures while sea-level rise is more relentless. Global warming has not stopped; it is merely manifested in different ways.
Confirmatory Factor Analysis of the School-Based Assessment Evaluation among Teachers

The school-based assessment (SBA) system is a holistic assessment system that is conducted in schools by subject teachers in assessing the students cognitive (intellect), affective (emotional and spiritual) and psychomotor (physical) aspects. In order to evaluate the implementation of SBA, a measurement scale was validated. The aim of this paper was to explore different factor structures of the SBA evaluation scale by using the second-order Confirmatory Factor Analysis. Questionnaire was used as an instrument for data collection. 776 primary and secondary school teachers were selected as respondents using stratified random sampling. Results indicated that the SBA evaluation model was a valid and reliable scale. The input measurement model was validated with two factors (‘personnel qualifications’ and ‘physical infrastructure’), process measurement model was validated with six factors (‘attitude’, ‘understanding’, ‘skills’, ‘challenges’, ‘moderation’ and ‘monitoring’) and product measurement model was validated with two factors (‘students’ attitude’ and ‘students’ motivation’). This study provides support for using a valid instrument in evaluating the implementation of SBA in schools. Furthermore, CFA procedures used supported the conceptual framework set out earlier. Thus, it presents clearly the importance of evaluation of any system to follow all the dimensions outlined in the evaluation model by Stufflebeam. DOI: 10.5901/mjss.2016. v7n5p114
mBEEF-vdW: Robust fitting of error estimation density functionals

We propose a general-purpose semilocal/nonlocal exchange-correlation functional approximation, named mBEEF-vdW. The exchange is a meta generalized gradient approximation, and the correlation is a semilocal and nonlocal mixture, with the Rutgers-Chalmers approximation for van der Waals (vdW) forces. The functional is ﬁtted within the Bayesian error estimation functional (BEEF) framework [J. Wellendorff et al. , Phys. Rev. B 85 , 235149 (2012); J. Wellendorff et al. , J. Chem. Phys. 140 , 144107 (2014)]. We improve the previously used ﬁtting procedures by introducing a robust MM-estimator based loss function, reducing the sensitivity to outliers in the datasets. To more reliably determine the optimal model complexity, we furthermore introduce a generalization of the bootstrap 0.632 estimator with hierarchical bootstrap sampling and geometric mean estimator over the training datasets. Using this estimator, we show that the robust loss function leads to a 10% improvement in the estimated prediction error over the previously used least-squares loss function. The mBEEF-vdW functional is benchmarked against popular density functional approximations over a wide range of datasets relevant for heterogeneous catalysis, including datasets that were not used for its training. Overall, we ﬁnd that mBEEF-vdW has a higher general accuracy than competing popular functionals, and it is one of the best performing functionals on chemisorption systems, surface energies, lattice constants, and dispersion. We also show the potential-energy curve of graphene on the nickel(111) surface, where mBEEF-vdW matches the experimental binding length. mBEEF-vdW is currently available in GPAW and other density functional theory codes through Libxc, version 3.0. 0.
Patterns and prevalence of sinonasal inverted papilloma in Port Harcourt metropolis, Nigeria: Computed tomography findings

Background: Inverted papilloma is a rare and slow-growing benign epithelial neoplasm that has a high tendency of changing into malignant tumor which usually occurs in the sinonasal cavities. This pathology was first described and characterized by Ward and Ringertz, respectively. Inverted papilloma has high capability of invading nearby structures usually from the lateral wall of nasal cavity and often extends into the adjacent maxillary or ethmoidal sinuses. Aim: This study is aimed to evaluate the patterns and prevalence of sinonasal inverted papilloma diagnosed on computed tomography (CT) in Port Harcourt, and the following specific objective was also evaluated: Age and sex distributions of the pathology. Materials and Methods: The craniofacial CT examinations were performed using general electric machines with standard scanning protocols and parameters. A retrospective cross-sectional research design was adopted for this study, and all CT radiological reports of patients who underwent craniofacial CT scan from January 2012 to May 2017 and met the inclusion criteria were selected using data capture sheet. Approval for this study was obtained from the management of the study centers. The obtained data were analyzed using descriptive statistics on SPSS version 20. Results: Of 1572 data evaluated, 6.5% (n = 102) had sinonasal inverted papilloma. Nasal obstruction was the most common symptom, 36.91% (n = 55), and the least was frontal headache, 6.71% (n = 10). Paranasal Sinuses (PNSs) were highly affected, 44.29% (n = 62). 66.7% (n = 68) were male and 33.3% (n = 34) were female. The age group of 31–45 years was highest, 41.18% (n = 42), and 0–15 years was least, 2.94% (n = 3). Conclusion: The prevalence of sinonasal inverted papilloma was low in this study. PNSs were highly affected than nasal cavities. Sinonasal inverted papilloma was common in males than females, and young adults were commonly affected by the pathology. Clinical Significance: Adequate knowledge of the patterns and prevalence of sinonasal inverted papilloma diagnosed on CT in Port Harcourt would be useful information to the ear, nose, and throat surgeons in planning their functional endoscopy sinus surgery and also in managing patients who cannot afford to pay for PNS CT investigations in this locality.
Language Models Learn POS First

A glut of recent research shows that language models capture linguistic structure. Such work answers the question of whether a model represents linguistic structure. But how and when are these structures acquired? Rather than treating the training process itself as a black box, we investigate how representations of linguistic structure are learned over time. In particular, we demonstrate that different aspects of linguistic structure are learned at different rates, with part of speech tagging acquired early and global topic information learned continuously.
Information Technology and the Ambidexterity Hypotheses: An Analysis in Product Development

We investigated ambidexterity, defined as the capacity to simultaneously achieve exploration and exploitation activities at a product development level. Building on the knowledge management literature, we argue that information technology -defined by a combination of the convergent and divergent dimension- facilitate ambidexterity. Further, ambidexterity mediates the relationship between IT and performance. We found strong evidence that ambidexterity mediates the relationship between the IT that encourage these activities and subsequent performance in product development. Data collected from 80 product developments supported our hypotheses.
A Five-Level Step-Up Module for Multilevel Inverters: Topology, Modulation Strategy, and Implementation

This paper proposes a new single-phase five-level converter based on the switched-capacitor technique. The capacitor charging in the proposed converter is carried out in a self-balancing form which does not need closed-loop modulations or additional balancing circuits. The proposed topology is a voltage booster without using end-side H-bridge for changing load voltage polarity. So, switching losses and total voltage stress of semiconductor components reduce in the proposed converter. The performing modes of the proposed topology, its modulation scheme, capacitors’ balancing analysis, capacitance and loss calculations, and also the development of the proposed converter for enhancing the quality of output voltage waveform are discussed in depth. Moreover, the comparison of the proposed structure with the other multilevel topologies shows that the proposed converter can reduce the number of semiconductor elements and the required isolated dc sources. Finally, the simulation and experimental results validate the appropriate performance of the proposed converter.
A Contribution to an Image Mining Oriented Geoprocessing

Since its origin Geoprocessing Information Systems (GIS) are supposed to deal with structured information concerned some geographical localization. So one uses three-dimensional image representation systems in a huge database, where it is possible to insert many data about some interest domain, say, agriculture, economics, industry, demographics and so on. This article presents a new approach, which allows an integration of Geoprocessing and Image Mining not only in typical geographical subjects but also in other domains such as healthcare.
Development of Artificial Insemination Technique in Pig Production Based on the Evidence of Physiology and Molecular Biology in Reproductive Organs

© 2016 TERRAPUB, Tokyo. All rights reserved. doi:10.5047/agbm.2016. 00602.0059 pean countries, more than 70% of pig farms carry out artificial insemination using liquid storage semen, and this rate reaches more than 98% in the Netherlands (Feitsma 2009). However, the diffusion of this technique has been still less than half in other countries including Japan. The improvements of both insemination technique and diluent extender of boar semen Abstract Reproductive technology in the animal production field not only improves the reproductive performance of swine but also reduces the production costs. However, the diffusion of this technique has been limited in most countries including Japan due to the reproductive characteristics of pig, such as multiple ovulations in female and large volume of semen in male. In females, the key mechanisms of oocyte maturation in pig are not different as compared with that of the rodent model. However, the timing and regulation of gene expression and enzyme activity are characterized in pig, which results in the longer duration of oocyte maturation and ovulation. In semen, seminal plasma has dual roles in sperm quality and successful implantation. The contaminating of bacteria in semen increases endotoxin activity and reduces the sperm quality. On the other hand, the seminal plasma contains factors to regulate immune activity to reduce the number of leukocytes to make an optimal condition for implantation and to maintain the pregnancy. Based on basic scientific information, we developed novel techniques for oocyte in vitro maturation, freezing and thawing sperm and artificial insemination. These technologies will be expanded to commercial farms to increase the production-efficiency all over the world. Development of Artificial Insemination Technique in Pig Production Based on the Evidence of Physiology and Molecular Biology in Reproductive Organs
A Survey on Challenges of Semantics Application in the Internet of Things Domain

Abstract The Internet of Things (IoT), a global Internet-based system of computing devices and machines, is one of the most significant trends in the information technology area. An accepted unified communication approach would be a prerequisite for its mass adoption. Semantic technologies (Semantic Web) have been advocated as enablers of unified communication. However, while there are particular advancements in research on application of Semantic Web in the IoT domain, the dynamic and complex nature of the IoT often requires case specific solutions hard to be applied widely. In the present survey, the semantic technology challenges in the IoT domain are amalgamated to provide background for further studies in the use of semantic technologies in the IoT.