Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study on Determining Household Poverty Status: SVM Based Classification Model

Poverty is the normal challenge faced by the worldwide community. The human society has never ceased to fight against poverty. This research study focuses on determining significant attributes that can be utilized to distinguish poor and non-poor household units. At least one selected community in the Philippines is utilized to validate and test the model for Classification using Support Vector Machine (SVM) algorithm. To check the accuracy and evaluate the model 80% of the total poor and non-poor households are used as a training set and the remaining 20% as a testing set to minimize the impact of disparities and determine whether the model's classifications are correct. Accuracy, Precision, Recall and F1-Score are likewise done to interpret and gauge the performance of the SVM algorithm for the binary classification model in which the outcome indicates 88.64% precise.
From cancer to rejuvenation: incomplete regeneration as the missing link (Part I: the same origin, different outcomes)

Here, we interpret malignant tissue transformation from the aging point of view, that is, as a result of insufficient cell adaptation to the needs of regeneration/repair and proliferation. A consequence of the aging (senescence) process is gradual loss of self-renewal potential. It limits lifespan and leads to death due to the decline of tissue/organ functions, failure of regulatory mechanisms, disruption of endogenous processes and increased susceptibility to exogenous factors. Recapitulation of the embryonic pathway of self-renewal/rejuvenation in adulthood is epigenetically determined. At the postembryonic stage, in the absence of immune privilege, this recapitulation is transformed into cancer (potency expansion of single structures composing the organism to the detriment of the whole organism or disintegrating growth). We suggest that the process of rebirth occurs in the same way as embryonic tissue growth. Thus, the idea to use the potential of the transformed cells to stop the aging process has been proposed.
A Cross-Sectional Research on Factors Associated with Depression Among Transgender Women in Bangkok, Thailand

Depression is becoming a major mental health problem globally. Thailand is known as the accepting society for transgender but the available study on transgender women dealing with depression is scarce. This study aims to describe the prevalence of depression among Thai transgender women in Bangkok and to explore the associated factors. A cross-sectional study was conducted among 108 Thai transgender women in Bangkok, Thailand from January 2019 to April 2019. Data were collected through self-administered. Depression was assessed by using The Center for Epidemiological Studies-Depression Scale (CES-D). Multivariate regression analysis was conducted to explore the associated factors of depression. The prevalence of depression among transgender women in this study was 54.6%. Factors associated with depression in the crude analysis were: sex reassignment surgery (OR=2.45, 95%CI=0.96-6.24), illness history (OR=1.79, 95%CI=0.72-4.50). In multivariate logistic regression analysis, depression was significantly associated with drinking alcohol >1 time/month in the past 12months (adjusted OR=0.33, 95%CI=0.12-0.91). Transgender tend to experience higher rates of mental health issues than the general population. This study suggested that alcohol drinking was only significantly associated with depression in Thai transgender women. For further study, we need to find other associations with depression in transgender community.
A Model-Based Software Solution for Simultaneous Multiple Kernels on GPUs

As a critical computing resource in multiuser systems such as supercomputers, data centers, and cloud services, a GPU contains multiple compute units (CUs). GPU Multitasking is an intuitive solution to underutilization in GPGPU computing. Recently proposed solutions of multitasking GPUs can be classified into two categories: (1) spatially partitioned sharing (SPS), which coexecutes different kernels on disjointed sets of compute units (CU), and (2) simultaneous multikernel (SMK), which runs multiple kernels simultaneously within a CU. Compared to SPS, SMK can improve resource utilization even further due to the interleaving of instructions from kernels with low dynamic resource contentions. However, it is hard to implement SMK on current GPU architecture, because (1) techniques for applying SMK on top of GPU hardware scheduling policy are scarce and (2) finding an efficient SMK scheme is difficult due to the complex interferences of concurrently executed kernels. In this article, we propose a lightweight and effective performance model to evaluate the complex interferences of SMK. Based on the probability of independent events, our performance model is built from a totally new angle and contains limited parameters. Then, we propose a metric, symbiotic factor, which can evaluate an SMK scheme so that kernels with complementary resource utilization can corun within a CU. Also, we analyze the advantages and disadvantages of kernel slicing and kernel stretching techniques and integrate them to apply SMK on GPUs instead of simulators. We validate our model on 18 benchmarks. Compared to the optimized hardware-based concurrent kernel execution whose kernel launching order brings fast execution time, the results of corunning kernel pairs show 11%, 18%, and 12% speedup on AMD R9 290X, RX 480, and Vega 64, respectively, on average. Compared to the Warped-Slicer, the results show 29%, 18%, and 51% speedup on AMD R9 290X, RX 480, and Vega 64, respectively, on average.
A Hybrid Intelligent System for Insider Threat Detection Using Iterative Attention

Insider threat is a severe security risk that tends to cause enormous financial losses and damages for organizations. Many approaches have been proposed to detect and mitigate insider threat. However, implementing an effective detection system is still a challenging task. In this paper, we propose a hybrid intelligent system for insider threat detection that aims to realize more effective detection of security incidents by incorporating multiple complementary detection techniques, such as entity portrait, rule matching and iterative attention. The system takes as input multi-domain heterogeneous event logs, psychological data and functional information that are available in the targeted organization. With both consideration of subjective and objective factors, the proposed system captures comprehensive information of events by building entity portraits. Subsequently, we perform insider threat detection by rule matching and iterative attention that can not only quickly detect known attacks but can also identify stealthy malicious activities at an early stage. We evaluated the proposed system using the CERT r4.2 insider threat dataset. Experimental results show that the hybrid intelligent system achieves a significant improvement compared with the state-of-the-art detection approach in terms of AUC and early detection scores.
SOLUBILITY ENHANCEMENT OF NEPAFENAC USING DIFFERENT SOLUBILIZERS

Aim of the present work is to investigate the effect of Sulfo butyl ether-β-cyclodextrin (SBE-β-CD) and different solubilizers on the solubility of Nepafenac. Apart from SBE-β-CD the three different solubilizers were used for the purpose, Polyethylene glycol 400 (PEG 400), Cremophor RH and Polysorbate 80. By physical observation it was observed that the solubility of Nepafenac was increased significantly with SBE-β-CD and the effect of different concentration of SBE-β-CD on the solubility of the drug was studied which was further investigated and confirmed by phase solubility study with the help of UV spectroscopy. From the phase solubility diagram, the increase in solubility of Nepafenac with 1 M, 1.5M, 2 M, 3 M was found to be 2.38 times, 2.725 times, 4.401 times and 5.857 times respectively. The drug solubility was increased linearly up to 3 M of SBE-β-CD. From the above result, the optimum concentration of SBE-β-CD was selected i.e. 3M and it was concluded that SBE-β-CD is the best solubilizer among all selected.
A Novel Artifact Reducing Approach Based on Sparse representation on jpeg compressed Fingerprint images

— Among the biometric recognition technology, fingerprint recognition is very popular for personal identification due to the uniqueness, universality, collectability and invariance. Large volumes of fingerprint are collected and stored every day in a wide range of applications, including forensics and access control. Fingerprint image compression is a key technique to solve this problem. Among the compression techniques, JPEG compression is widely used for fingerprint compression, since it provides good compressed results. However, the standard JPEG decompression result usually contains some artifacts, such as blocking artifacts. Compression artifacts are a noticeable distortion of media caused by lossy compression technique. This artifact usually occurs when the compression ratio is high. So we can use the method of sparse representation via k-svd in jpeg compression to remove blocking artifacts in jpeg compressed fingerprint images. The blocking artifacts removal can be measured in terms of psnr and ssim vaues. The experimental results show that the psnr and ssim values shows significant improvement after k-svd algorithm in jpeg compressed image. Also watermarking in spatial domain can be applied to artifact removed fingerprint image to enhance authenticity. Matlab R2012b is used for implementation of the algorithm.
In-vitro Fundamental Assessment of Disintegration and Dissolution Profile of Enteric Coated Rabeprazole Tablet Commercially Accessible in Bangladesh

Objective: An assortment of commercially accessible enteric coated rabeprazole tablets were evaluated comparatively in vitro disintegration and dissolution profile in association with its’ drug content. Methods: In-vitro disintegration and dissolution profiling of our selected all enteric coated rabeprazole brands in Bangladesh were carried out using a dissolution apparatus USP at a paddle speed of 100 rpm and UV-VIS spectrophotometer. BP method was used to determine the time required for tablet to disintegrate in acid stage, pH 1.2 and buffer stage, pH 6.8. Results: The in vitro disintegration and dissolution time were found to be varying for each tablet, but within the B.P. prescribed limit. Brand10 showed the fastest disintegration. All the brands showed no disintegration, cracks or swelling in 0.1 N HCl, except brand 4 and 10, which showed Short Research Article Eamen et al.; BJPR, 6(6): 423-428, 2015; Article no.BJPR. 2015.084 424 cracks, leakage, and blackspot after 120 min. However, the disintegration of all the products in phosphate buffer meets B.P requirements. Dissolution of tablets in 0.1 N HCl showed less than 10% drug release after 120 minutes. Moreover, the comparison of percentage drug release on the basis of dissolution study demonstrated that Brand 1, 2, 4, 5, 6, 7, 8, 9, and 10 (80% drug release) complied best whereas Brand 3 (78.16% drug release) does not fulfill with pharmacopoeial specification. Conclusion: All the brands (10) of rabeprazole tablets tested in vitro assessment of disintegration and dissolution were showed pharmacopoeial specification except brand 3, 4 & 10. So, this study helps to make pharmacopoeial specified rabeprazole tablets.
Classifications of Ordered Semigroups in Terms of Bipolar Fuzzy Bi-Ideals

Bipolar fuzzy set is an extension of fuzzy set. In bipolar fuzzy set the range of the membership function is ] 1 , 1 [− , whereas, in fuzzy set it is ] 1 , 0 [ . We employed the concept of bipolar fuzzy set theory in the structure of ordered semigroup and introduced a generalization of bipolar fuzzy bi-ideals. This generalized form of bipolar fuzzy bi-ideals is called ) , ( q ∨ ∈ ∈ -bipolar fuzzy bi-ideals of ordered semigroups. We obtained some interesting characterization results of ordered semigroup in terms of this new concept.
A Novel Filter Based Ensemble Based Anomaly Detection Model for Uncertain Data

: Due to the rapid growth of high speed network, the risk of credit-card attacks on the complex networks are also increases accordingly. Anomaly discovery from the database is a process of filtering uncertain features, so that it can be used wide variety of applications. Since the online distributed data is the communication between the remote client and the centralized server, it is difficult to predict the occurrence of an anomaly in the large distributed data. Anomaly detection on the complex data must take a long time due to the large number of features. A large number of anomaly prediction models have been implemented in the literature to find the anomaly patterns or features using association and classification techniques. Unfortunately some anomaly detection models over data mining cannot cover all the normal or abnormal features. Traditional approaches mainly focus on detecting relevant patterns from the trained data in order to estimate the test data instances. In this proposed work, the robust partition based classifier is implemented to find the topmost anomalies using attribute relationships. This model efficiently detects the anomaly features along with uncertain features with high true positive rate. Experimental results show that proposed approach has high computational efficiency and anomaly detection rate compared to traditional anomaly detection techniques.
Research on the simulation of fish behavior based on swarm intelligence

Swarmintelligence is an intelligence emergent phenomenon that the simple individual interactions of nature biological groups result in complex intelligent behavior. In this paper, the problem of fish behavior evolution is aimed at, the vector model based on the multi-Agent fish swarm environment, the main body and the behavior regulation have been established by the analysis of fish moving, looking for food and so on. The synthesis algorithm which is used to confirm the direction and speed of a single fish in the process of group behavior evolution, and the frameworkmodel of fish swarmbehavior evolution is established. Finally, the proposed algorithm is proved to be reasonable by simulation experiments.
Protocatechuic Aldehyde Represses Proliferation and Migration of Breast Cancer Cells through Targeting C-terminal Binding Protein 1

Purpose C-terminal binding protein 1 (CtBP1) is a transcriptional co-repressor that is overexpressed in many cancers. CtBP1 transcriptionally represses a broad array of tumor suppressors, which promotes cancer cell proliferation, migration, invasion, and resistance to apoptosis. Recent studies have demonstrated that CtBP1 is a potential target for cancer therapy. This study was designed to screen for compounds that potentially target CtBP1. Methods Using a structure-based virtual screening for CtBP1 inhibitors, we found protocatechuic aldehyde (PA), a natural compound found in the root of a traditional Chinese herb, Salvia miltiorrhiza, that directly binds to CtBP1. Microscale thermophoresis assay was performed to determine whether PA and CtBP1 directly bind to each other. Further, clustered regularly interspaced short palindromic repeats associated Cas9 nuclease-mediated CtBP1 knockout in breast cancer cells was used to validate the CtBP1 targeting specificity of PA. Results Functional studies showed that PA repressed the proliferation and migration of breast cancer cells. Furthermore, PA elevated the expression of the downstream targets of CtBP1, p21 and E-cadherin, and decreased CtBP1 binding affinity for the promoter regions of p21 and E-cadherin in breast cancer cells. However, PA did not affect the expression of p21 and E-cadherin in the CtBP1 knockout breast cancer cells. In addition, the CtBP1 knockout breast cancer cells showed resistance to PA-induced repression of proliferation and migration. Conclusion Our findings demonstrated that PA directly bound to CtBP1 and inhibited the growth and migration of breast cancer cells through CtBP1 inhibition. Structural modifications of PA are further required to enhance its binding affinity and selectivity for CtBP1.
A novel, sensitive and rapid method developed for simultaneous quantification of two potential genotoxic impurities in Irbseartan by UPLC

A new, sensitive and rapid UPLC method developed and validated for the determination of two potential genotoxic impurities namely 4-Bromomethyl-2’cyanobiphenyl and 4-Dibromomethyl-biphenyl-2-carbonitrile at trace levels in Irbesartan by applying the concept of threshold of toxicological concern (TTC), a limit of 5.0 ppm each were calculated based on the maximum daily dose of the drug substance. The proposed method is specific, linear, accurate and precise. The calibration curves show good linearity over the concentration range of 0.01–0.075 μg/mL for genotoxic impurities in Irbesartan. The correlation coefficient obtained is >0.999 in each case. Method has very low limit of detection (LOD) and quantification (LOQ). LOD and LOQ of all genotoxic impurities are as low as 0.0025 μg/mL and 0.01 μg/mL respectively. Method has accuracy with recovery in the range of 90.0–104.0% for all the genotoxic impurities. This method is a good quality control tool for quantitation of all the genotoxic impurities at very low levels in Irbesartan.
To What Extent Does Personality Influence the Use of Facebook – A Case from Turkey

The relationship between the personality and the use of Facebook to satisfy the needs of belonging and self-presentation are examined in the current study. 214 university students completed the Big Five personality traits questionnaire and a survey assessing personality and Facebook behaviors and motivations. Belongingness-related behaviors and motivations were predicted best by high agreeableness and neuroticism . Extraversion was associated with more frequent use of Facebook to communicate with others. Low conscientiousness and high neuroticism predicted best by self-presentational behaviors and motivations. Results suggested that conscientious individuals were cautious in their online self-presentation. Neuroticism, agreeableness, and extraversion were positively associated with the tendency to express one’s actual self. Neuroticism was positively associated with the expression of ideal and hidden self-aspects. The motivation to express these self-aspects mediated the relationship between neuroticism and self-disclosure. Keywords: Social networking site, Facebook, the Big Five, Need to belong, Need for self-presentation
Diversity of bacterial flora and their EXO enzyme and antibiotic profiling from bird droppings/fecal matter from Western Ghats, Kerala, India

Diversity which is one of the most widely studied ecologic properties, is fundamental to the field of ecology itself. It is widely reported and often promoted as an indicator of ecosystem state due to its relationships with productivity, functioning, and stability. Very little is known about the normal gastrointestinal flora of wild birds, or how it might affect or reflect the host's life-history traits. The aim of this study was to survey the species richness of bacteria in the feces of a wild population of birds of Western Ghats, Kerala. Bacterial diversity of birds was analyzed and out of the sixteen isolates, six were found to be potent and capable of producing more than two enzymes qualitatively and thus efficient on their exoenzyme production. Molecular characterization revealed their identities to be Burkholderiasp, Bacillus pumilus, Lysinibacillus sp. , Paenalcaligenes suwonensis, Kurthiagibsonii, and Pseudomonas aeruginosa. Antibiotic sensitivity tests by disc diffusion assay showed that some of them were resistant to multiple drugs.
Gender Does Not Influence Delaying Excuses: An Exploratory Study of the Reasons of Academic Procrastination among College Students

Gender differences in various psychological constructs are a common phenomenon. This study has been designed to investigate the gender differences if any, in the reasons given for academic procrastination in undergraduate students. For this purpose, 200 high academic procrastinators (113 males and 87 females) in the age group 17-19 years were selected by administering PAAS. The frequency of the reasons given by high procrastinators was calculated by using percentage analysis. Laziness and time management were the two most cited explanations for procrastination. The reasons given by both the genders were compared using chi square. Results revealed that gender does not influence the excuses that males and females provide for academic procrastination.
Coelomic Fluid Evaluation in Pisaster ochraceus Affected by Sea Star Wasting Syndrome: Evidence of Osmodysregulation, Calcium Homeostasis Derangement, and Coelomocyte Responses

Sea Star Wasting Syndrome (SSWS) is one of the largest marine wildlife die-offs ever recorded, killing millions of sea stars from more than 20 Asteroid species from Alaska to Mexico from 2013 to 2015 from yet undetermined cause(s). Coelomic fluid surrounds the sea star's organs, playing critical roles in numerous systemic processes, including nutrient transportation and immune functions. Coelomocytes, which are cellular components of coelomic fluid and considered functionally equivalent to vertebrate leukocytes, are responsible for innate cell-mediated immunity. The objectives of this study were to (1) evaluate changes in coelomic fluid chemistry, coelomocyte counts, and cytology from ochre sea stars (Pisaster ochraceus) (n = 55) with clinical signs consistent with SSWS at varying intensity (SSWS score 1: n = 4, score 2: n = 2, score 3: n = 3, score 4: n = 18, score 5: n = 26) in comparison to coelomic fluid from clinically normal sea stars (n = 26) and to (2) correlate SSWS score with cellular and biochemical analytes. SSWS-affected sea stars had wider ranges of all electrolytes, except calcium; statistically significantly higher chloride, osmolality, and total protein; lower calcium; and higher coelomocyte counts when compared to clinically normal sea stars maintained under identical environmental conditions. Free and/or phagocytized bacteria were noted in 29% (16 of 55) coelomic fluid samples from SSWS-affected sea stars but were absent in clinically normal sea stars. SSWS score correlated significantly with increasing chloride concentration, osmolality, and coelomocyte counts. These chemistry and cytological findings in coelomic fluid of SSWS-affected sea stars provide insight into the pathophysiology of SSWS as these results suggest osmo- and calcium dysregulation, coelomocyte responses, and presumptive opportunistic bacterial infection in SSWS-affected sea stars. This information provides potential future research applications for the development of treatment strategies for sea stars in managed care and for understanding the complexity of various biochemical and cellular pathophysiological mechanisms involved in sea star wasting.