Miracle-dz/UniFAR-FTUs huggingface dataset:
Probable Association Between Oral Lichen Planus and presence of Helicobacter Pylori : A Preliminary Study in a Chilean Population

Oral Lichen planus (OLP) is one of the main inflammatory diseases of the oral mucosa that is considered as a potentially malignant disorder. The exact pathogenesis of OLP remains to be completely understood. However, presence of bacteria has been associated to the inflammatory response observed in OLP. Particularly, Helicobacter pylori a major etiological agent of gastrointestinal inflammatory diseases and risk factor for gastric cancer, has been associated to Lichen planus. Here we studied a group of Chilean patients if there is any association between the presence of Helicobacter pylori and the clinical manifestation of OLP. We found a significant difference between the patients positive for H. pylori and the age of OLP diagnosis, suggesting that oral H. pylori might induce the disease at an earlier age. However, we could not confirm a statistically significance between the presence of the bacteria and OLP.
Running head: TREATING POSITIVE SCHIZOPHRENIA 1 Treating Positive Schizophrenia with Consideration in Adlerian Psychology

Schizophrenia is a complex brain disorder that presents with abnormalities in behavior, mood, cognitive functioning, and functional impairments. The exact cause of schizophrenia is unknown; however, there have been links to genetics, development, and environmental factors. As the causes for schizophrenia can take many forms so can the approaches to treatment. The most common approach to treating schizophrenia involves a consistent regimen of antipsychotic medications. However, medications alone do not control symptoms of schizophrenia. Various therapeutic approaches are used for treating schizophrenia. This paper will look at the different ways to treating positive symptom schizophrenia with consideration in Adlerian Psychology. TREATING POSITIVE SCHIZOPHRENIA 3 Table of
THE USE OF MANAGEMENT ACCOUNTING PRACTICES IN JORDANIAN SMALL-AND-MEDIUM-

This paper seeks to investigate the use of management accounting practices by Jordanian SMEs. The data was generated via questionnaires and interviews. Descriptive statistics on the frequency of the use of individual practices and thematic analysis provide the basis for discussion. The results demonstrate that the usage rates of MAPs in Jordanian SMEs are fairly low in comparison to usage rates reported in the studies conducted in the developed countries and yet are comparable to the rates reported in the studies conducted in the developing countries. MAPs have an essential role in SMEs by enabling determination of product cost information, planning and controlling, issues discovery, evaluation of employees’ efforts and customization of management bonuses, generation of relevant information for decisions on expansion process, issuance of new products, prices modification and estimation and prediction of potential risks. The research generates more awareness among the managers of SMEs about the importance of MAPs. Aside from adding valuable knowledge to the body of MAPs in SMEs, this study can be a starting point for further investigations and analysis of MAPs among SMEs.
Eight year survey of tuberculosis in-hospital mortality in the South Eastern part of Romania

Romania remains a high burden TB European country, with an incidence of 70.2%000 in 2014 although the incidence, mortality, and morbidity are constantly decreasing. Objectives. To determine the level of TB-associated mortality in the deaths cohort of inpatients from Clinical Pneumophtisiology Hospital and identifying the risk factors of TB death-related. Material and method. A retrospective study was done recording demographic characteristics, comorbidities, duration of the hospitalization since death, chest Xray pattern, HIV, and drug-resistant status, and TB category were recorded. Results. From a total of 4,609 TB patients 247 deaths due to all causes were registered from 2010 to 2017, from witch 126 deaths were caused by tuberculosis disease (51%) with an overall fatality rate of 2.7%. Most cases with TB deaths (n=7.26.5%), were declared new cases of TB. Death occurred in the first 7 days (55.5%). The mean interval of surviving after admission in hospital was 13.09 days +/14.355 std dev; F=17.698; p=0.000). Comorbidities associated with TB were alcoholism (32%), COPD (14%), malignancies (3.6%), diabetes (7%), heart disease (5%), hepatitis and liver cirrhosis (4%), AIDS (0.8%). Risk factors consisted in delayed diagnosis of extensive fibro-cavitary pulmonary tuberculosis active disease (74.6%), male gender, age under 60 year-old, low income or homelessness (15%), unemployment and the absence of medical insurance (35%), cachexia (58%), MDR (n=1; 0.8%) were identified. 12 patients died due to massive hemoptysis. Delayed anti TB therapy was noticed in 21% with negative smears. Conclusion. Tuberculosis remains an important cause of mortality in a Tertiary Care Pneumophtisiology hospital.
Performance Analysis of AODV under Black Hole Attack

In this paper, we represent the effect of Black Hole attack in AODV routing protocol in MANET is analyzed. We also compare the network performance of standard AODV against Black Hole attack on AODV routing protocol. Simulation is carried out using NS-2.35. It depicts that PDR percentage and Average Throughput decrease and End to End Delay (EED) increases due to the presence of malicious nodes in the Mobile Ad-Hoc Network.
Gene Expression Analysis Using Clustering Techniques and Evaluation Indices

Data Mining refers to as the nontrivial process of deriving and identifying valid, novel, potentially useful and ultimately understandable pattern in data. Data mining can be classified into various models such as Clustering, Decision trees, Association rules, and Sequential pattern and time series. In this work, more emphasis is given on clustering technique to analyses Genetic Expression data under Bioinformatics approach. Innovative technologies like DNA Microarray methodology in experimental molecular biology, has produced huge amounts of valuable data in the profile of gene expression. It is now possible to simultaneously monitor the expression levels of thousands of genes during important biological processes and across collections of related samples. Constant upsurge of experimental data has produced new challenges in terms of maintenance, storage and analysis to derive meaningful patterns. Many clustering algorithms have been proposed for analysis of the gene expression data. However, the evaluation of feasible and applicable clustering algorithms is becoming an important issue in current bioinformatics research. In this article, four clustering algorithms (K-Means, Hierarchical Clustering, Self-Organizing map (SOM) and DBSCAN) have been studied on Iris flower gene expression datasets. The clustering efficiency of each algorithm is accessed by various external and internal clustering evaluation indices. The results generated from this work were further analyzed by plotting graphs and charts across different algorithms, different indices and datasets to analyze the similarity of clusters generated by different algorithms and thereby enable comparisons of different clustering methods.
Colorectal cancer marker identification using the aging immune system-related blood cell DNA methylome

Abstract There is a body of evidence that the aging immune system is linked to cancer. In this study, with aging- and immune-related DNA methylation data, we investigated the DNA methylation regulation changes in promoters with other regions of genes during aging and their association with the immune cell proportion in the circulating whole blood of healthy individuals. The biological analyses for aging- and CD4 T cell proportion-derived differential genes showed that ubiquitination plays an important role in the aging immune system and tumorigenesis. Among the differentially ubiquitinated genes, DZIP3, an E3 ubiquitin ligase with no reports on its function in immune cells and tumorigenesis, was significantly associated with both aging (P-value = 3.86E-06) and CD4 T cell proportion (P-value = 1.97E-05) in circulating blood. By collecting a cohort of 100 colon cancer patients and 50 healthy individuals, we validated that the 1st exon DNA methylation of DZIP3 could predict the onset of early stage colorectal cancer (AUC = 0.833, OR = 8.82) and all pTNM stages of colorectal cancer (AUC = 0.782, OR = 5.70). Thus, the epigenetically regulated ubiquitination machine plays an important role in immune aging and tumorigenesis.
Determinación de aflatoxina M1 en hatos lecheros del Estado de México

Aiming to determine the presence of aflatoxin M1 (AFM1) in milk, 84 samples were collected in different milk production units from Mexico State; in different seasons (dry and rainy). The analyte was determined by ELISA test, with the RIDASCREEN Aflatoxin M1® kit, results were expressed descriptively and compared with reference values. From the analyzed samples, 45% were positive. When establishing different concentration ranges, four samples were observed with a level of 0.001 <0.002; forty-two in the range of 0.003> 0.044; and, thirty-eight in the range of 0.50> 0.080. When obtaining 42 samples per season, 37 (0.075 ± 0.010 ppt) were positive for AFM1 in the period from August to February 2017, while from March to October 2018, only one sample was positive (with a level of 0.060 ppt). The AFM1 present in milk is a risk factor for consumers and livestock as well, therefore, measures in the production and storage of fodder and grains should be assessed before, during and after feeding the cattle.
Portrayals of the Chinese Être Particulières: Intellectual Women and Their Dilemmas in the Chinese Popular Context Since 2000

This article studies the tension between post-Mao Chinese intellectual women and their dilemma in post-2000s Chinese popular media. TV dramas, films, songs and reality shows in which Chinese intellectual women and their dilemmas are identified, mis/represented, mis/understood and addressed are the research objects of this article. By foregrounding the two motifs of estrangement and escape in understanding and characterising post-Mao Chinese intellectual women, the article seeks to answer the following questions: In what ways are well-educated Chinese women consistently stigmatised under the unsympathetic limelight of the public? And for what reason are Chinese intellectual women identified as the être particulières in the popular context? At time of publication, the journal operated under the old name. When quoting please refer to the citation on the left using British Journal of Chinese Studies. The pdf of the article still reflects the old journal name; issue number and page range are consistent.
SOLVATOCHROMIC AND SUBSTITUENT EFFECT ON ELECTRONIC ABSORPTION OF ARENETRICARBONYLCHROMIUM(0) COMPLEXES Perilaku Solvatochromic dan Pengaruh Substituen pada Serapan Elektronik Komplek Arenatrikarbonilkromium(0)

A number of arenetricarbonylchromium(0) complexes, [(η 6 -arene)Cr(CO)3], in which arene = benzene, chlorobenzene, phenyltrimethylsilane, and acenaphthene were synthesized. Electronic absorptions of these complexes were recorded in various solvents, ranging from polar to non polar ones; i.e. methanol, methylene chloride, chloroform, benzene, and isooctane. These chromium tricarbonyl complexes show lowest electronic absorption in the energy range of 313 – 320 nm, with relatively high intensity (e = 0,9 – 2,0 x 10 4 M -1 cm -1 ). Detailed discussion of the solvent and substituent effect on electronic absorption of these complexes are presented in this article.
Optimal Placement of UAVs for Minimum Outage Probability

We consider multiple unmanned aerial vehicles (UAVs) serving a density of ground terminals (GTs) as base stations. The objective is to minimize the outage probability of GT-to-UAV transmissions. Optimal placement of UAVs under different UAV altitude constraints and GT densities is studied. A practical variant of the Rician fading model, which has been developed by Azari et al. (2018) specifically for UAV systems, is used to model the communication channels. First, the structure of optimal deployments is determined when the common altitude constraint is large. For a wide class of GT densities, it is shown that all UAVs should be placed to the same location in an optimal deployment. A design implication is that one can use a single multi-antenna UAV as opposed to multiple single-antenna UAVs without loss of optimality. Next, using a random deployment argument, a general upper bound on the optimal outage probability is found for any density of GTs and any number of UAVs. Further, for any arbitrary user density, centralized and distributed numerical algorithms are designed using particle swarm optimization and modified gradient descent algorithms, respectively. Simulations show that our distributed algorithm provides almost optimal results even with considerably reduced communication and sensing ranges at the UAVs.
Electron microscopy of endosperm protein from hard and soft wheats.

Protein either in flour particles or in thin sections spreads on water as a surface dispersion. These protein dispersions were transferred to plastics-covered specimen grids and examined by transmission electron microscopy. Examinations showed that wheat flour contained lipid which formed small droplets ranging from 0.01 to 0.35 μm in diam. Protein bodies like those found in immature wheat were not observed in any of the preparations. A purified fraction of gliadin contained particles 20 to 80 A in diam. representing mol. wt. between 17 000 and 216 000; whereas a glutenin fraction did not form small particles. Protein dispersions from hard and soft wheat had particles 65 to 250 A in diam. ; hard wheat had smaller particles than the soft wheat. Mild treatment with NaHSO3 increased the size of hard wheat protein particles; those in soft wheat did not change much. From these observations, hard wheat appears to have compact protein particles which swell in NaHSO3, whereas the structure of soft wheat particles is less dense and they swell in distilled water.
An analysis of the role of glucan-binding proteins in Streptococcus mutans biofilm architecture and caries development

Tooth decay is a serious health risk and a significant contributor to health care costs in both industrialized and developing nations. Tooth decay is the end result of a change in the balance of plaque ecology towards more acidogenic and aciduric bacterial species. Frequent and prolonged periods of low plaque pH, facilitated by the presence of fermentable simple carbohydrates drive the cycles of enamel homeostasis towards demineralization and ultimately dental caries. Streptococcus mutans is the main etiologic agent in the development of dental caries. Their cariogenic potential is based on the ability to produce and tolerate large amounts of acid and to adhere to and accumulate large numbers on the surface of a tooth. They are capable of efficiently fermenting a variety of simple carbohydrates and can produce high concentrations of acid, even in a low pH environment. However, it is the ability of S. mutans to rapidly synthesize copious amounts of water-insoluble and water-soluble glucan from dietary sucrose, which allow the bacteria to accumulate large enough numbers to dominate the dental plaque and significantly lower the plaque pH. Synthesis of glucan is mediated by glucosyltransferase enzymes and is crucial to sucrose-dependent adherence and to the cariogenicity of S. mutans. S. mutans also makes four non-GTF glucan-binding proteins: GbpA and GbpD contain a region that is homologous to the glucan-binding domains of the Gtf enzymes, and GbpC confers the property of dextran-dependent aggregation during stressful conditions, and GbpB whose glucan-binding properties appear secondary to its role in cell-wall metabolism. It was hypothesized that Gbps A, C, and D shape the architecture of S. mutans biofilms which in turn affects the cariogenicity of S. mutans. To test this hypothesis, a panel of Gbp mutants was constructed from S. mutans strain
再生可能資源からの高分子量ポリ- L -乳酸の工業的製造法開発

本開発は，植物が生産する糖質という再生可能な資源を用い，はん用プラスチックとして使用できる物性を持った高分子量のポリ-L-乳酸を工業的に製造する方法に関するものである．フィルムや繊維などで延伸配向の効果を出すためには結晶性の高いポリ-L-乳酸が必要である．そのためには光学純度の高いL-乳酸が原料として必要である．また，ポリ-L-乳酸を安価なはん用プラスチックとして普及させるためには原料も安価でなければならない．そこで栄養要求性の低いBacillus属を用い光学純度99. 0%のL-乳酸を製造する技術を開発した．L-乳酸からポリ-L-乳酸を工業的に合成する工程として，脱水縮合によって合成したプレポリマーから分子内エステル交換反応によって中間原料であるLL-ジラクチドを合成する方法を開発した．まず，LL-ジラクチドの収率を向上させるため乳酸の直鎖1–3量体を全還流させながら脱水縮合を行い，さらにL-乳酸のラセミ化を防止するため反応器温度を135，150，160 °Cと三段階に上昇させる方法を開発した．検討したLL-ジラクチドを合成するための触媒の中では2-エチルヘキサン酸スズが最も活性が高く，かつ得られたLL-ジラクチドの光学純度も高かった．高分子量のポリ乳酸を製造するためには，LL-ジラクチドの純度を上げねばならない．LL-ジラクチドの精製法として環境への負荷を考慮して無溶剤の溶融晶析法を開発した．LL-ジラクチドの開環重合は無溶剤で連続的に行い，重量平均分子量18–20万のポリ-L-乳酸が得られた．また，本研究では得られたポリ乳酸の物性を明らかにするとともに，コンポスト中での分解挙動を調べた．
Feature Correlation Map based Statistical Approach for Denial of Service Attacks Detection

Denial of Service (DoS) attack has been considered as one of the most promising threats to network security that denies access to services offered by networks or servers for legitimate users. Therefore, to protect the computing resources against these attacks, DoS attack detection system is needed. The existing statistical based attack detection systems face the lacuna of crippling dimensionality and suffer from low accuracy and high false alarm. In this paper, to address this issue, a system for the detection of DoS attacks using Feature Correlation Map (FCM) based statistical approach is proposed. FCM is the process of extracting the correlative information between selected features of each record. The normal traffic profile is constructed using Hellinger Distance measure. The distance between FCM and mean of normal traffic FCMs is computed to determine if the new network traffic belongs to either normal or attack traffic. The proposed approach is tested with benchmark datasets and compared with state-of-the-art statistical attack detection systems. It is evident that the proposed approach yields promising results than the existing attack detection systems.
SOUND ANALYSIS AND MACHINE LEARNING IN NONINVASIVE CLASSIFICATION OF NEUROLOGICAL CONDITIONS

Machine learning and signal analysis are widely used to assist medical practice. Modern medicine is in constant search for effective noninvasive methods for diagnostics. Unfortunately, many of the developed automatic methods are prone to noise and disturbances and have high computational complexity. A transcranial Doppler (TCD) is a noninvasive and reliable device that can monitor the blood flow rate in the brain and can help neurologists to diagnose many brain problems like edema, trauma, hemorrhage, and aneurysm. The proposed algorithm is a blend of statistical and machine learning tools that are used in Big Data analysis. The algorithm’s goal is monitoring the TCD signals in the real-time for detection of cerebral vasospasms, which produces enormous amounts of data. We handled the data by carefully selected time and frequency domain features which allowed designing classifiers with the desired sensitivity and specificity. In addition, the proposed convergence of digital sound analysis and medical fields could prove to be useful in the future modeling of various brain disorders.
Scale-Up and Optimization in Preparative Chromatography: Principles and Biopharmaceutical Applications

Chromatographic optimization and scale-up optimization in preparative chromatography design, scale-up and operation of ion-exchange protein separations - mathematical modelling and case studies analysis and scale-up of simulated moving bed (SMB)chromatography for biological purifications large-scale ion-exchange chromatography - a comparison of different column formats design and scale-up of pharmaceuticals in reversed phase chromatography development and operation of a cation exchangechromatography process for large-scale purification of a recombinant F(ab)'2 scale-up challenges in the chromatography-based purification plasmid DNA scale-up of antisense oligonucleotide purification process separations using hydrophobic interactionchromatography.
Psychophysiology of Meditation

Psychophysiological research on meditation examines modulations in brain and body physiology resulting from, or associated with, meditation. This chapter considers the available evidence regarding the effects of meditation on psychophysiological markers, including frontal electroencephalography (EEG) alpha asymmetry, event-related brain potentials (ERPs), heart-rate variability (HRV) and its derivative indexes, and galvanic skin response (GSR). The emerging mosaic of findings suggests an inconclusive mixed pattern of evidence regarding changes in frontal EEG alpha asymmetry with meditation. The evidence base on ERP changes resulting from meditation is more consistent, particularly pointing to improvements in attention control. However, ERP evidence on modulations in emotion processing, language processing, and existential awareness (such as decentering) with meditation is very limited, not allowing for conclusive answers. Overall, the current evidence on psychophysiological changes with meditation underscores the potential of these methods in providing novel insights into the effects and mechanisms of meditation. More rigorous studies with long-term follow-up, comprehensive systemic assessments, and explorations of convergent/divergent patterns of findings across psychophysiological indexes are needed.
User Acceptance Factors of A Routine Statistics Application in Banten Province

In Banten Province, the branch office of the National Family Planning Coordination Board (BKKBN), is participated in implementing the nation’s family planning and development program (KKBPK). BKKBN needs data and information from KKBPK’s record and report systems. One of these systems is called the Routine Statistics Application (ASR). Currently, the number of ASR user is only 28% of the data managers in Banten Province. It is essential to study the factors which affect data managers to use the ASR. Thus, in our study, we used the Technology Acceptance Model by extending its external variables, such as system quality, information quality, service quality, facilitating condition, social influence, self-efficacy, and user training. The study used data collected from 115 respondents using questionnaire. The data is processed using Partial Least Square - Structural Equation Modeling using SmartPLS software. The result of our study shows that the intention to use factor for using ASR system is affected by the perceived usefulness and the social influence directly factors. Moreover, other factors have positive correlations to perceived usefulness which eventually affect the data manager’s intention to use the ASR system in Banten Province.