Miracle-dz/UniFAR-FTUs huggingface dataset:
Geostatistical simulations with heterotopic hard and soft data without modeling the linear model of coregionalization

Most mining decisions are based on models estimated/simulated given the information obtained from samples. During the exploration stage, samples are commonly taken using diamond drill holes which are accurate and precise. These samples are considered hard data. In the production stage, new samples are added. These last are cheaper and more abundant than the drill hole samples, but imprecise and are here named as soft data. Usually hard and soft data are not sampled at the same locations, they form a heterotopic dataset. This article proposes a framework for geostatistical simulation with completely heterotopic soft data. The simulation proceeds in two steps. First, the variable of interest at the locations where soft data are available is simulated. The local conditional distributions built at these locations consider both hard and soft data and are obtained using simple cokriging with the intrinsic coregionalization model. Second, the variable of interest in the entire simulation grid using the original and previously simulated values at soft data locations is simulated. The results show that the information from soft data improved both the accuracy and precision of the simulated models. The proposed framework is illustrated by a case study with data obtained from an underground copper mine.
Sodium Alginate/Polyvinyl Alcohol Immobilization of Brevibacillus brevis OZF6 Isolated from Waste Water and Its Role in the Removal of Toxic Chromate

Aim: In this study we wanted to determine bacteria for chromium (VI) removal under pH, chromium concentration, carbon source and immobilizing agents. Place and Duration of Study: This study was carried out in the Department of Biological Sciences, College of Natural and Applied Sciences, Crescent University, Abeokuta, Nigeria in the year 2015. Original Research Article Wani et al.; BBJ, 15(1): 1-10, 2016; Article no.BBJ. 27341 2 Methodology: Isolation of bacteria was done from industrial waste water of Abeokuta, Nigeria which is often released into water bodies and thus contaminates water during 2015. Nutrient agar added with 100 μg/ml Cr (VI) was used to isolate resistant bacterial strains. Resistance of the strains for Cr (VI) was evaluated on nutrient agar media. Natural material [sodium aliginate (SA)] and synthetic material (PVA)] immobilized bacterial cells for Cr (VI) removal experiment was done by 1, 5–diphenyl carbazide method. Results: The strain OZF6 was characterized as Brevibacillus brevis using 16S rRNA gene sequence. All isolates (8 strains) were tolerant to chromium (VI). Among all strains, only Brevibacillus brevis OFZ6 reduced Chromium (VI). Brevibacillus brevis OZF6 reduced maximum Cr (VI) (72.5%) at pH 7. Brevibacillus brevis OFZ6 also reduced chromium (VI) significantly under various concentrations of chromium. Brevibacillus brevis OZF6 detoxified the metal 81% at 50 μg Cr/ ml, 75% at a concentration of 100 μg/ ml and 68% at 150 μg/ ml respectively. Among electron donors, maximum reduction was observed under influence of lactose. Among different matrices combinations for whole cell immobilization of OZF6, combination of 10% PVA, 10% sodium alginate (SA) proved to be best combination for Cr (VI) reduction. Conclusion: Due to above properties, bacteria will be utilized for Cr (VI) detoxification in contaminated industrial waste water and thus will protect environment from contamination. There needs a proper regulation and treatment of these effluents prior their release into water bodies or into soil and thus ultimately protect population from carcinogenesis and other ill hazards.
Application of HPI (Heavy Metal Pollution Index) and Correlation Coefficient For The Assessment Of Ground Water Quality Near Ash Ponds Of Thermal Power Plants

The objective of the study is to divulge the yearly variation of underground water with the heavy metals like Pb,As,Cd,Se Cr contamination. Heavy metal pollution Index (HPI) is defined as a rating reflecting the composite influence of dissolved heavy metals.HPI is calculated from the point of view of the suitability of ground water for human consumption with respect to metals contamination. The present study is limited to analysis of heavy metals concentration in ground water and heavy metal pollution index and correlation between them is calculated.
Tailoring surface plasmon-exciton polariton for high-performance refractive index monitoring

We report coupling between surface plasmon polariton (SPP) and surface exciton polariton (SEP) as hybrid mode; surface plasmon exciton polariton (SPEP) that can be utilized for highly sensitive and accurate refractive index monitoring. The proposed structure comprises of a thin layer of organic semiconductor; J-aggregate cyanine dye (5,5′,6,6′-tetrachloro-1,10-diethyl-3, 30-di(4-sulfobutyl) benzimidazolo-carbocyanine (TDBC)) having, strong dipole moment resulting from linear chain-like structure, over plasmon active metal coated on prism. It is found that due to SPEP excitation, the sensitivity of the proposed refractometer is ∼84% higher as compared to that of conventional plasmonic sensor at λ = 532 nm and has high tolerance towards 10 nm of metal thickness. The wavelength dependent performance analysis of SPEP modes reveals that for high energy SPEP (mode-1 at λ = 532 nm), sensitivity as well as figure of merit (FOM) of the proposed refractometer is ∼80% and ∼200% respectively higher than low energy SPEP (mode-2 at λ = 633 nm). We believe that the study will open a new window for a diverse range of biochemical and gaseous sensing applications.
Development of a three dimensional (3D) knitted scaffold for myocardial tissue engineering. Part II: biological performance of the knitted scaffolds

Abstract Cardiac patch has been proposed as an alternative therapeutic tissue engineering strategy to treat damaged heart for patients who survive the acute myocardial infarction (MI). To that end, studies have focused on designing an ideal cardiac patch assisting myocardium to repair itself. The engineering of three dimensional (3 D) anisotropic knitted scaffolds could be an efficient and effective strategy for cardiac patches. Thus, the polyethylene terephthalate (PET) pile loop knit fabrics were fabricated as 3 D scaffolds, where the values of stiffness (Young’s modulus) of the scaffolds were similar to those reported for the human myocardium. Anisotropic porous knitted scaffolds supported the adhesion and proliferation of murine C2C12 myoblasts cell line in vitro. Scaffolds with a high surface to volume ratio and porosity exhibited superior performance in terms of cell adhesion and proliferation. Furthermore, out of thirteen proinflammatory cytokines, the levels of three cytokines including IL-1α, IL-1β, and IL-11 were observed to be higher in cells seeded on scaffolds coated with fibronectin than those in related control groups. Thus, the proposed knitted structure can potentially be used for tissue engineering and regenerative medicine.
Behavioural intention to adopt blockchain technology among bankers in islamic financial system: perspectives in Malaysia

: Blockchain technology has been a buzzword globally especially among financial industrial players. It can be observed that most developed countries had begun to legalise the implementation of blockchain technology including European Union as well as the member states of G20 in order to secure their leading position in supporting the Fourth Industrial Revolution. Be that as it may, scholars admitted that Malaysia had been a bit desolated primarily in terms of its legalisation on the blockchain’s adoption in the country despite various initiatives that had been taken initially. Hence, this study was conducted to investigate the behavioural intention to adopt blockchain technology specifically among bankers in Malaysia Islamic financial system. A combination of theories, mainly the Unified Theory of Acceptance and Use of Technology 1 (UTAUT 1) as well as Technology-Organization-Environment (TOE) Framework had been chosen to be used in the study. This research implemented the quantitative method in which more than 200 questionnaires were distributed to 12 domestic banks in Malaysia through both self-administered method and online survey. Multiple regression analysis was applied to further verify the hypothesis made. Based on this study, it had been proven that effort expectancy, social influence and facilitating condition are the only factors that affect the behavioural intention to adopt blockchain technology with effort expectancy being the most significant factor among all. However, the results had also proven that the non-factors of the variables strengthened the fact that Malaysia is still at the primitive stage in respect to blockchain adoption. Thus, it signifies the importance for the industry to begin adopting instead of attempting by considering the best initiatives recommended in accordance to Malaysia’s mould in which the banks could opt to start working on the institution voluntary regulation whereas for the government, perhaps they could commence a consortium which consists of Islamic financial institutions in the country to develop their experience before implementing on their own. It is hopeful that the initiatives could help to secure the position of Malaysia as the world Islamic financial hub in the coming years.
A research on customer experiences and perceptions for Michelin starred restaurants

Michelin Guide is one of the well known world-recognized restaurant rating systems. This guide gives star symbols to restaurants that meet certain standards. Being a Michelin-starred restaurant in gastronomy sector is very important in terms of prestige. Having a star is becoming a factor that significantly affects customer potential as it means attesting to the flavour and ambience of restaurants. In this research, which measures consumers' perceptions of choosing Michelin restaurants, consumer reviews from Tripadvisor site were evaluated and to understand point of view of chefs and the managers a face to face interview conducted to 9 Michelin restaurants. The purpose of the study is to investigate the reasons that drive consumers to visit Michelin starred restaurants and to understand their perceptions. The research found that consumers are curious about Michelin restaurants, preferring to experience different titles such as food quality, hospitality, service and decoration from other restaurants. In addition, consumers who prefer Michelin restaurants evaluate the service as a whole, and the issues they care about come after the quality of the food.
Impact of adjacent-channel interference on transmission performance in asynchronous FBMC/OFDM systems

: This paper investigates adjacent-channel interference (ACI) inﬂuence on asynchronous systems consisting of ﬁlter bank multicarrier (FBMC) and orthogonal frequency-division multiplexing (OFDM), under multipath fading channels. FBMC inhibits out-of-band (OOB) radiation more than OFDM, by subcarrier-wise ﬁltering. This results in ACI reduction, while causing inter-symbol interference (ISI) and inter-carrier interference (ICI) under multipath fading channels. In this paper, we evaluate the bit error rate (BER) performance of asynchronous FBMC/OFDM systems, considering the ACI and multipath fading, using computer simulations.
TELKOMNIKA Telecommunication Computing Electronics and Control

Received Aug 27, 2020 Revised Dec 04, 2021 Accepted Dec 13, 2021 Recently, the ransomware attack posed a serious threat that targets a wide range of organizations and individuals for financial gain. So, there is a real need to initiate more innovative methods that are capable of proactively detect and prevent this type of attack. Multiple approaches were innovated to detect attacks using different techniques. One of these techniques is machine learning techniques which provide reasonable results, in most attack detection systems. In the current article, different machine learning techniques are tested to analyze its ability in a detection ransomware attack. The top 1000 features extracted from raw byte with the use of gain ratio as a feature selection method. Three different classifiers (decision tree (J48), random forest, radial basis function (RBF) network) available in Waikato Environment for Knowledge Analysis (WEKA) based machine learning tool are evaluated to achieve significant detection accuracy of ransomware. The result shows that random forest gave the best detection accuracy almost around 98%.
Calcium in the mineral nutrition of yellow passion fruit cultivated in lined pits and with saline water

ABSTRACT Nutritional status is an important tool in salinity management, because salt stress interferes with both the absorption and the assimilation of mineral nutrients by plants. The objectives of this experiment were to evaluate the effects of water salinity, lateral protection of pits against water losses and calcium doses on the leaf concentration of macronutrients and sodium of yellow passion fruit cv. BRS GA1. The treatments were arranged in a randomized block design in split plots in a 2 × (2 × 5) factorial scheme, corresponding to water salinity (0.3 and 4.0 dS m-1) in the main plot, and the combinations between lateral protection of pits (without and with) and calcium doses (0, 30, 60, 90 and 120 kg ha-1) in the subplots. Leaf concentrations of macronutrients and sodium were determined at the phenological stage of full flowering. Irrigation of yellow passion fruit with 4.0 dS m-1 water decreased the leaf concentrations of macronutrients. The lining of the pits compromised macronutrient concentration in the plants. Calcium fertilization is recommended for yellow passion fruit cultivated in Entisol with low calcium concentration at the dose of 60 kg ha-1, because it raises nitrogen and calcium concentrations in plants irrigated with non-saline water and magnesium and sulfur concentrations in those irrigated with saline water. Calcium attenuates salt stress because it promotes the accumulation of macronutrients in yellow passion fruit under saline conditions.
Predictive Force-Centric Emergency Collision Avoidance

A controller for critical vehicle maneuvering is proposed that avoids obstacles and keeps the vehicle on the road while achieving heavy braking. It operates at the limit of friction and is structured in two main steps: a motion-planning step based on receding-horizon planning to obtain acceleration-vector references, and a low-level controller for following these acceleration references and transforming them into actuator commands. The controller is evaluated in a number of challenging scenarios and results in a well behaved vehicle with respect to, e.g., the steering angle, the body slip, and the path. It is also demonstrated that the controller successfully balances braking and avoidance such that it really takes advantage of the braking possibilities. Specifically, for a moving obstacle, it makes use of a widening gap to perform more braking, which is a clear advantage of the online replanning capability if the obstacle should be a moving human or animal. Finally, real-time capabilities are demonstrated. In conclusion, the controller performs well, both from a functional perspective and from a real-time perspective.
SYNTHESIS OF MAGNETITE BY HOMOGENEOUS CHEMICAL DEPOSITION FOR PREPARING OF MAGNETIC FLUID ON ITS BASIS

The magnetite synthesis by methods heterogeneous and homogeneous chemical deposition is conducted. The phase composition and magnetic properties of the samples are investigated. Revealed that magnetite synthesized by homogeneous chemical deposition has higher magnetic characteristics than magnetite obtained by heterogeneous precipitation method. It is shown that a homogeneous chemical deposition method possible to carry out the synthesis and stabilization of magnetite in a single step.
Improving content, organization, vocabulary, language use, and mechanics using Movie Trailer Media

Writing implicates conveying or communicating ideas or thoughts obliges the media either in conventional (paper and pen) or digital material (computer). This research applied pre-experimental approach with one group pretest and posttest design. The independent variable is movie trailers as teaching media. The dependent variable is students' writing skills consist of content, organization, vocabulary, language use, and mechanics. This research indicated the significant difference of writing skills before and after the treatment using movie trailers with narrative text. Thirty writing class students participated in this research; hence, they are homogeneous. Students seemed to be more encouraged to learn more about writing skills with enjoyable and relaxing strategies. This research signposts a significant impact on the movie trailer's usage of writing skills’ improvement. Movie trailers could be used as one of the learning media to foster students' resolution in telling stories in the form of writing based on the imagination that comes after watching. Therefore, this research recommends the use of movie trailer as one of strategy to improve the students' writing ability
Molecular dynamics simulations of incipient carbonaceous nanoparticle formation at flame conditions

Particle nucleation remains one of the most intriguing steps in the process of particle formation in flames. Although stacking/clustering of polycyclic aromatic hydrocarbons (PAHs) has been identified as a key step in the nucleation process, uncertainties remain about the size of the PAHs undergoing clustering, the organisation of the PAHs in the forming clusters and the factors affecting the relative amounts of order and disorder present in the texture organisation. A molecular dynamics approach is presented to study the influence of the molecular weight and structure of PAHs on the nucleation and coagulation processes and on the morphology of the formed clusters. Two different types of macromolecules have been analysed: pericondensed aromatic hydrocarbons (PCAHs) and aromatic aliphatic linked hydrocarbons (AALHs), known to be present in flame environments depending on flame temperature, equivalence ratio and fuel chemical structure. Clustering of six organic molecules has been analysed at two extreme temperatures, namely 500 K and 1500 K. The six molecules have been chosen on the basis of their molecular weight (pyrene and coronene) and molecular structure (single molecules, covalent-bonded dimers and covalent-bonded trimers). Nucleation of single pyrene molecules is negligible at low temperature and practically absent at high temperature. Conversely, nucleation of single coronene molecules involves 33% of the initial molecules at low temperature. Molecules within the clusters are highly mobile at flame temperatures and just 5% of the initial molecules are in clusters. The presence of covalent bonds among the aromatic sub-units improves clustering and growth, both for pyrene and coronene sub-units. Looking at the structure and the fractal dimensionality of the formed clusters, an enhancement of the disorder of the clusters is observed in the case of the AALHs (dimers and trimers) with an increased number of molecules not arranged in parallel planes. The same behaviour is found for the higher temperature.
Development of Inverted Organic Photovoltaics with Anion doped ZnO as an Electron Transporting Layer

In this study, 3-dimensional ripple structured anion (chlorine) doped ZnO thin film are developed, and used as electron transporting layer (ETL) in inverted organic photovoltaics (I-OPVs). Optical and electrical characteristics of ZnO:Cl ETL are investigated depending on the chlorine doping ratio and optimized for high efficient I-OPV. It is found that optimized chlorine doping on ZnO ETL enhances the ability of charge transport by modifying the band edge position and carrier mobility without decreasing the optical transmittance in the visible region, results in improvement of power conversion efficiency of I-OPV. The highest performance of 8.79 % is achieved for I-OPV with ZnO:Cl-x (x=0.5wt%), enhanced ~10% compared to that of ZnO:Cl-x (x=0wt%).
Nanoparticules multifonctionnelles excitables par les rayons X pour la thérapie photodynamique

La Therapie Photodynamique ou PDT est une methode de traitement principalement anti-cancereux. Elle est basee sur l’activation par la lumiere de molecules photosensibles, appeles photosensibilisateurs, non toxiques a l’obscurite. Apres excitation lumineuse et en presence d’oxygene, elles generent des especes reactives de l’oxygene dont l’oxygene singulet, qui engendrent des reactions de photo-oxydation entrainant la mort cellulaire. Cette methode est cliniquement appliquee en France et dans plusieurs pays du monde mais presente toutefois certaines limites comme la faible profondeur de penetration de la lumiere dans les tissus. Elle ne peut donc s’appliquer qu’aux tumeurs de surface telles que les keratoses actiniques et aux tumeurs de petite taille accessibles a la lumiere. Pour traiter les tumeurs profondes par PDT, nous proposons une strategie innovante basee sur l’utilisation de rayons X, tres connus pour leur pouvoir penetrant. Comme la plupart des photosensibilisateurs ne sont pas radiosensibles, ils ne peuvent etre excites directement par les rayons X. Les recentes avancees en nanotechnologie nous ont amene a envisager une strategie therapeutique novatrice pouvant combiner les principes de la PDT et la radiotherapie via l’elaboration de scintillateurs nanoparticulaires excitables par rayons X. Le concept consiste a utiliser des nanoparticules contenant dans leur cœur un scintillateur qui, excite par des rayons X, peut emettre des photons, qui, a leur tour, sont reabsorbes par le photosensibilisateur lui-meme conjugue a la nanoparticule. C’est dans ce contexte que nous avons developpe des nanoparticules Gd2O2S : Eu3+, possedant dans leur cœur du gadolinium (agent permettant le rehaussement positif du signal IRM) dope avec de l’europium ou du terbium (pour une l’absorption des RX) et conjugues a des photosensibilisateurs (porphyrine, chlorine zinguee et phtalocyanine zinguee). D’autres nanoparticules TbO3, de plus petite taille, possedant dans leur cœur de l’oxyde de terbium, enrobe d’une couche de polysiloxane dans laquelle est incorporee de la porphyrine ont aussi ete synthetisees et etudiees. Ces nanoparticules offrent a la fois une possibilite d’effet radiotherapie, d’effet PDT, tout en offrant la possibilite de visualiser les tumeurs par IRM. Nous avons mis au point un protocole de synthese permettant d’obtenir la porphyrine avec de bons rendements tout en limitant le temps de synthese et les etapes de purification. Les syntheses et purifications des nanoparticules ont ete optimisees. Les caracterisations physico-chimiques et photophysiques des nanoparticules ont ete realisees, en particulier leur capacite a produire de l’oxygene singulet. L’efficacite du transfert d’energie entre les nanoparticules et les photosensibilisateurs dans le but d’obtenir un effet PDT a ete evaluee et des essais preliminaires sous excitation par rayons X ont ete entrepris