Miracle-dz/UniFAR-FTUs huggingface dataset:
Importance of Biological Parameters of Water Quality to Reform Water Quality Index in Practice

Good quality of water to drink or for meeting any demand is expensive these days. An economical and sustainable method of water treatment has not yet been achieved in our water history. Water specialists and water/water related companies are trying hard on technologies from macro to nano methods but end up with some limitations and some compromises. Studies have shown that microbiological pollutants are the significant contaminants for water-related diseases and researches have been carried out to assess the efficiency of water treatment plant to remove microbiological pollutants from the raw water. Globally the use of chlorine-based process for disinfection is the most successful and common in water treatment. Studies have shown that in Malaysia as well chlorination process is the best method to produce “microbiologically safe” water until water problem surfaced in year 2009. Total Coliform violations in the complied chlorine treated water posed problem within the water treatment plant located in Selangor. There is an urgent need to investigate on this problem as the systems continue to deteriorate in recent years. In view of this, properly planned and interdisciplinary studies are being conducted on the causes and sources of Total Coliform-positive occurrences in the water treatment systems. The current WQI to ascribe water quality are mostly physio-chemical based, without consideration for biological specifically microbial based indicators. The objective of the paper is to present the approach of redesigning WQI using neural network and fuzzy logic systems. The model could be packaged into software and further to construct hardware (Water analyser), a hand held unit to test the status of quality of water onsite, for every hour and any time scale. These methods have been successfully used in many fields of studies including water and water related research. Thus, the risk of choosing macro to nanotechnologies to treat the water could be made appropriate by this invention of new software and hardware. Key-Words: Water Quality, Water Quality Index, Microbiological Parameter, Neural Network, Fuzzy Logic Systems, Water Analyzer.
O ct 2 01 9 1 A Covariance-Based Hybrid Channel Feedback in FDD Massive MIMO Systems

In this paper, a novel covariance-based channel feedback mechanism is investigated for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems. The concept capitalizes on the notion of user statistical separability which was hinted in several prior works in the massive antenna regime but has not fully exploited so far. We propose a hybrid statistical-instantaneous feedback mechanism where the users are separated into two classes of feedback design based on their channel covariance. Under the hybrid framework, each user either operates on a statistical feedback mode or quantized instantaneous channel feedback mode. The key challenge lies in the design of a covarianceaware classification algorithm which can handle the complex mutual interactions among all users. The classification is derived from rate bound principles and a precoding method is also devised under the mixed statistical and instantaneous feedback model. Simulations are performed to validate our analytical results and illustrate the sum rate advantages of the proposed feedback scheme under a global feedback overhead constraint.
Rapid H 2 O 2-Promoted Oxidation of Anazolene Sodium over the [ BMIM ] PF 6 / Pt / γ-Al 2 O 3 Nanocatalyst

How to cite this article Padervand M, Gholami K, Salari H, Vosoughi M. Rapid H2O2-Promoted Oxidation of Anazolene Sodium over the [BMIM] PF6/Pt/γ-Al2O3 Nanocatalyst. J Nanostruct, 2019; 9(3): 489-497. DOI: 10.22052/JNS.2019. 03.010 Highly meso-porous Pt contained γ-Al2O3 nanostructure was prepared by a combined sol gel-pyrolysis method in the presence of polyvinylpyrrolidone and Pluronic p123 as surfactant. The surface of the prepared nanostructure was decorated with 1-Butyl-3-methylimidazolium hexafluorophosphate ([BMM]PF6) ionic liquid to enhance the sorption capacity and prevent the poisoning of the catalytic active sites. The catalyst was characterized by X-ray diffraction powder (XRD), Transmission Electron Microscopy (TEM), Energy Dispersive X-ray (EDX), and Brunauer–Emmett–Teller surface analysis (BET) methods. The XRD pattern and the results of elemental analysis well confirmed the crystalline phase of gamma-alumina and the presence of Pt nanoparticles on the surface. Decolorization of Anazolene Sodium (AS) dye compound as a typical wastewater was carried out using H2O2 as oxidative agent and the results showed that the prepared nanostructure had promising catalytic activity. The results of the recycling experiments showed that [BMIM]PF6/Pt/γ-Al2O3 is more promising than Pt/γ-Al2O3 which points out the role of ionic liquid layer on the surface.
Potential Stability of Matrix Sign Patterns

The topic of matrix stability is very important for determining the stability of solutions to systems of differential equations. We examine several problems in the field of matrix stability, including minimal conditions for a 7 × 7 matrix sign pattern to be potentially stable, and applications of sign patterns to the study of Turing instability in the 3× 3 case. Furthermore, some of our work serves as a model for a new method of approaching similar problems in the future.
Main Features of Prevalence and Severity of Major Depressive Episode in Romania

T he objectives of the current article are to present some nationally representative estimates of lifetime, 12-months prevalence of MDE the age of onset, years in episode, the effects of MDE on role impairment. The lifetime prevalence of MDE was 3.3% for “all ages”, with higher values for females than for males (4.1% versus 2.5%) and the prevalence estimates of CIDI/DSM-IV 12-months Major Depressive Episode (MDE) was 1.8% (2.2% for females and 1.4% for males). Approximately half of those with lifetime prevalence MDE presented 12-months MDE too (53.8%). Within the age groups “18-34”, “all ages” and “50-64”, the females have the mean onset of MDE earlier than males (a slight difference for the first two situations, a difference of about 8 years for the latter). Within the age groups “35-49” of “65 years and over”, the males have the onset of MDE earlier than the females with 3-4 years. Regarding the mean number of years in episode, for all subjects was found a value of 5.7 years. Symptom severity assessed with the Quick Inventory of Depressive Symptomatology Self Report (QIDS-SR), revealed that almost two thirds of cases with MDE were “ severe” or “ very severe” from clinical point of view. Number of weeks depressed in the 365 days before the interview, expressed as mean was 30.8 for those with “severe” symptoms/domain. In the past 30 days, the highest WHODAS score was for out of role domain (36.2), then for mobility (14.6). Regarding the number of days out of role in the last year due to depression, this was 82.1 for the age group “50-64” and 63.5 for those of “65 years old and over”. Major Depression Episode is a seriously impairment condition. The severe consequences of the depression on functioning in labour and social areas call attention to the need for early diagnostic, proper treatment and intervention. Key words: major depressive episode, lifetime prevalence, 12-mo prevalence, Sheehan score, disability assessment schedule
HRM and Innovation in Developing Countries

Development economics has failed to provide a policy framework that effectively initiated the catching up process in the developing world. As a consequence, technological innovation as driver behind growth and development has received increasing attention. This paper attempts to uncover the relationship between adept Human Resource Management and innovation generation in developing countries. I present a consistent theoretical framework that allows for the derivation of four key proposition about the effect of a Corporate Culture that encourages exploration, Rewarding Long-Term Success, excessive Termination and employee Empowerment on firm-level innovation generation. I then proceed to empirically test theoretical predictions, combining data form the World Bank Enterprise Survey and the Innovation Follow Up Survey for more than 23,000 enterprises in 18 developing countries. Empirical findings for product innovation perfectly mirror theoretical predictions. Estimation results suggest a strong and significant, positive relationship between my measures for Corporate Culture, Rewarding LongTerm Success and Empowerment and firm-level product innovation generation. An inverse relationship is identified for Termination and my product innovation measure. I further identify a strong, positive and significant relationship between Corporate Culture and process innovation generation. An inverse relationship is established for Rewarding Long-Term Success, while no relationship is identified for my Termination and Empowerment measures.
Correlates of Fertility in a Low Contraception Setting: AStudy of Ogu of South-Western Nigeria

Total fertility rate in Nigeria is 5.7 compared with over 8 in the past. Modern contraceptive use within marriage is very low and socio-economic development is still crawling. What factors account for this fragile transition? This question is the focus of this study. The study examines the socioeconomic and cultural factors that account for fertility transition in the country. Data were gathered through a survey conducted among the Ogu of south-western Nigeria. Analysis employed descriptive statistical tools and Ordinary Least Square model. Analysis reveals that post primary education (especially among women), spousal discussion about family size, monogamous marriage and age at first marriage were inversely related to children ever born (CEB) among men and female respondents. The result suggests that moderate improvement in these factors are likely responsible for the fragile transition. Therefore, policies to raise literacy level especially among women, increase age at first marriage, promote monogamous marriage and spousal communication may accelerate the fragile transition in the country.
Analysis of Twitter Data Using Classification Approach

-The evolution of web technology has led to a huge amount of user generated content and has significantly changed the way one manages, organizes and interacts with information. sentiment analysis has emerged as one of the popular techniques for information retrieval and web data analysis. In the present paper machine learning classification approaches with different feature selection schemes to obtain a sentiment analysis model for the twitter dataset has been explored. The proposed approach uses a combination of Natural Language Processing (NLP) techniques and supervised learning Support Vector Machine (SVM) classifier. The work has been performed using Rapid Miner tool. From the Results and Analysis it is seen that the performance of this SVM Model has a better accuracy of 81.50%, with the recall of both positive and negative sentiments being more or less same, each being 83% and 80% respectively. Also the model performance has RMSE value of 0.395 and Absolute error of 0.369, which again clearly demonstrates the good predictive capability of the model.
Lipschitz Learning for Signal Recovery

We consider the recovery of signals from their observations, which are samples of a transform of the signals rather than the signals themselves, by using machine learning (ML). We will develop a theoretical framework to characterize the signals that can be robustly recovered from their observations by an ML algorithm, and establish a Lipschitz condition on signals and observations that is both necessary and sufficient for the existence of a robust recovery. We will compare the Lipschitz condition with the well-known restricted isometry property of the sparse recovery of compressive sensing, and show the former is more general and less restrictive. For linear observations, our work also suggests an ML method in which the output space is reduced to the lowest possible dimension.
Les stents pharmacoactifs

L’angioplastie coronaire a ete l’un des progres therapeutiques majeurs en cardiologie au cours des 20 dernieres annees. Les stents ont contribue a une angioplastie a la fois plus sure et plus efficace, en evitant le recours a une chirurgie en urgence en cas de dissection arterielle occlusive et en diminuant le taux de restenose a moyen terme. Le risque de thrombose a ete reduit grâce a l’utilisation d’une bitherapie antiplaquettaire appliquee pendant quelques mois suivant l’angioplastie. L’induction d’une proliferation de cellules musculaires lisses au contact des barreaux metalliques du stent a, en revanche, ete deletere, necessitant de developper des stents pharmacoactifs, delivrant pendant les semaines suivant l’angioplastie une substance antiproliferante au contact de la paroi au moyen d’un polymere enrobant la prothese. Dans l’ensemble, ces stents pharmacoactifs n’ont pas montre de benefice clair a court et long termes sur le risque d’evenements cardiovasculaires majeurs (deces et infarctus du myocarde), mais ils ont contribue a reduire drastiquement le risque de restenose a moyen terme. L’usage rationnel de ces stents impose cependant de choisir des lesions a haut risque de restenose (diabetique ou lesion longue sur petit vaisseau, par exemple) chez des patients qui pourront suivre pendant au moins un an une bitherapie antiplaquettaire, dont l’interruption brutale est un des facteurs majeurs independants de risque de thrombose aigue aux consequences parfois fatales. Ces conditions sont des prerequis indispensables pour optimiser le rapport risque/benefice ainsi que le rapport cout/benefice. Le developpement de stents actifs completement biodegradables ainsi qu’une protection antiplaquettaire a la fois plus efficace et plus reproductible constituent des voies d’avenir pour rendre ces gestes encore plus surs et plus efficaces.
Suporte articulado para o tratamento cirúrgico da escoliose: nota prévia

Foi desenvolvido um suporte para ser utilizado nas cirurgias de correcao da escoliose que permite a realizacao de manobras para a correcao da deformidade. O objetivo deste relato inicial e a apresentacao do conceito do suporte desenvolvido e os resultados iniciais com a sua utilizacao.
Open Access book

In an ultrasound examination of lymph nodes, sonologists examine intranodal necrosis and calcification. However, these examinations contribute little to the diagnosis of malignant characteristics of lymph nodes. The reason for this is that intranodal necrosis may be present in other conditions like tuberculous lymphadenopathy. Similarly, intranodal calcification also does not aid the diagnosis of malignant lymphadenopathy. This is because there are other well known causes of lymph node calcification including BCG vaccination, sarcoidosis, cat scratch disease, tuberculosis, lymphoma and fungal infections, which have been previously treated with radiation therapy.
A brief overview of the tumor vaccines through the last decade

How to destroy cancer cells without damaging the normal cells? How to make conventional methods of systemic cancer treatment that predominantly comprise cytotoxic drugs more selective and prevent the development of drug resistance? There is an abundance of such questions that do not have simple answers. If, a few years ago, unselective cytotoxic drugs were the method of choice for the treatment of cancer, in the last 25 years we are witnessing the rapid transition of immunotherapy from the laboratories to the clinics. Among the most attractive and promising immunotherapies for cancer, a special place is reserved for tumor vaccines. Exploiting the latest knowledge in immunology, tumor physiology, as well as in molecular biology, many outstanding approaches for the creation of tumor vaccines have been developed. With no intention to be comprehensive, in the present article some of those approaches are reviewed.
The Everyday Occurrence

This article reports the results of qualitative interviews with 47 women involved in prostitution from three western Canadian provinces. More than two thirds of the women had become involved at age 15 or younger. The respondents described high rates of violence perpetrated against them. They reported considerable childhood sexual abuse, most often by a family member or by caretakers while they were living in foster care or group homes. The young women continued to experience violence as prostitutes so commonplace that it almost seemed “normal. ” They were victimized by pimps, johns, other prostituted women, intimate partners, and representatives from mainstream society and members of the police. This article describes their experiences of violence, the associated health problems, the protective strategies they used, and their attempts to leave the streets. The conclusion suggests ways in which agencies and policies could better address the violence experienced by these young women.
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Heap and stack buffer overflows are still among the most common attack vectors in intrusion attempts. In this paper, we ask a simple question that is surprisingly difficult to answer: which bytes contributed to the overflow? By careful observation of all scenarios that may occur in overflows, we identified the information that needs to be tracked to pinpoint the offending bytes. There are many reasons why this is a hard problem. For instance, by the time an overflow is detected some of the bytes may already have been overwritten, creating gaps. Additionally, it is hard to tell the offending bytes apart from unrelated network data. In our solution, we tag data from the network with an age stamp whenever it is written to a buffer. Doing so allows us to distinguish between different bytes and ignore gaps, and provide precise analysis of the offending bytes. By tracing these bytes to protocol fields, we obtain accurate signatures that cater to polymorphic attacks.
Prophylactic Effect of Opuntia ficus indica Fruit Peel Extract against Irradiation-Induced Colon Injury in Rats

Abstract Opuntia ficus-indica extract has been used in traditional folk medicine for several purposes and exhibits anti-inflammatory properties. This study was directed to explore the prophylactic effect of O. ficus-indica fruit peel extract against irradiation-induced colitis in rats. GC/MS analysis of the petroleum ether extract led to recognition of 33 compounds in the unsaponifiable fraction and 15 fatty acid methyl esters in the saponifiable part. Thirteen terpenes and sterols were isolated and identified from which ten compounds were not isolated from any part of this species before. Data showed that irradiation induced colon injury as manifested by elevated contents of malondialdehyde, nitric oxide, myeloperoxidase, intercellular adhesion molecule-1, cyclooxygenase-2, tumor necrosis factor alpha, and nuclear factor kappa B, while it reduced superoxide dismutase activity and interleukin 10 content in colonic tissues, which was confirmed by histopathological examination. Pretreatment with O. ficus-indica extract attenuated the alteration in the measured parameters. It could be concluded that O. ficus-indica fruit peel extract can be regarded as a potential agent in limiting colonic complications due to irradiation, possibly by its antioxidant and anti-inflammatory properties.
Comparison of Team‐Based Learning versus Traditional Lectures in Neuroanatomy: Medical Student Knowledge and Satisfaction

Neuroanatomy is often considered a difficult subject to teach, due to its broad scope, multitude of terms, and high degree of complexity. Thus, newer educational strategies that facilitate learning while also stimulating students by allowing increased student autonomy and group discussions should be carefully considered. This study aimed to evaluate the impact of introducing team‐based learning (TBL) in the traditional discipline of neuroanatomy and to measure student knowledge acquisition and perception relative to traditional lectures (TL). A quasi‐experimental, nonrandomized study was performed using two consecutive TBL classes (intervention group, n = 157 students, 25% content using TBL) with a TL class (control group, n = 76). Team‐based learning sessions included all stages according to the classic description of the method. Student knowledge acquisition was assessed in regularly scheduled tests during the discipline, and their perception regarding TBL was evaluated using a questionnaire (developed by the authors). The groups presented a similar sociodemographic profile (sex and age) and the same performance in another anatomy discipline before the study. Team‐based learning was significantly associated with greater acceptance, higher motivation, better student perception, and feelings that the methodology was able to integrate clinical and basic sciences. Nevertheless, according to tests, knowledge acquisition was similar between the TBL and lectures. In conclusion, since TBL is comparable to TL for knowledge acquisition, TBL seems to be a promising strategy to improve the teaching of neuroanatomy in medical schools. It fosters group discussions and increases satisfaction and the perception of integration between clinical and basic sciences.
Remove, Recycle, Degrade: Regulating Plasma Membrane Protein Accumulation

Interactions between plant cells and the environment rely on modulation of protein receptors, transporters, channels, and lipids at the plasma membrane (PM) to facilitate intercellular communication, nutrient uptake, environmental sensing, and directional growth. These functions are fine-tuned by cellular pathways maintaining or reducing particular proteins at the PM. Proteins are endocytosed, and their fate is decided between recycling and degradation to modulate localization, abundance, and activity. Selective autophagy is another pathway regulating PM protein accumulation in response to specific conditions or developmental signals. The mechanisms regulating recycling, degradation, and autophagy have been studied extensively, yet we are just now addressing their regulation and coordination. Here, we (1) provide context concerning regulation of protein accumulation, recycling, or degradation by overviewing endomembrane trafficking; (2) discuss pathways regulating recycling and degradation in terms of cellular roles and cargoes; (3) review plant selective autophagy and its physiological significance; (4) focus on two decision-making mechanisms: regulation of recycling versus degradation of PM proteins and coordination between autophagy and vacuolar degradation; and (5) identify future challenges.
Trafficking and secretion of keratin 75 by ameloblasts in vivo

A highly specialized cytoskeletal protein, keratin 75 (K75), expressed primarily in hair follicles, nail beds, and lingual papillae, was recently discovered in dental enamel, the most highly mineralized hard tissue in the human body. Among many questions this discovery poses, the fundamental question regarding the trafficking and secretion of this protein, which lacks a signal peptide, is of an utmost importance. Here, we present evidence that K75 is expressed during the secretory stage of enamel formation and is present in the forming enamel matrix. We further show that K75 is secreted together with major enamel matrix proteins amelogenin and ameloblastin, and it was detected in Golgi and the endoplasmic reticulum (ER)–Golgi intermediate compartment (ERGIC) but not in rough ER (rER). Inhibition of ER–Golgi transport by brefeldin A did not affect the association of K75 with Golgi, whereas ameloblastin accumulated in rER, and its transport from rER into Golgi was disrupted. Together, these results indicate that K75, a cytosolic protein lacking a signal sequence, is secreted into the forming enamel matrix utilizing portions of the conventional ER–Golgi secretory pathway. To the best of our knowledge, this is the first study providing insights into mechanisms of keratin secretion.