Miracle-dz/UniFAR-FTUs huggingface dataset:
Porous nanocomposites based of metal nanoparticles : from synthesis towards applications in the field of adsorption

Les materiaux nanocomposites poreux organises presentent de nombreuses proprietes dans le domaine de l’adsorption. Cette etude est portee sur la synthese de materiaux poreux de grande aire specifique fonctionnalises par des nanoparticules metalliques en visant des applications dans le domaine de l’adsorption: en phase liquide et en phase gazeuse.La premiere application concerne la detection en phase liquide de molecules a de faibles concentrations. Des nanocomposites composes d’une matrice poreuse de silice dans laquelle sont inserees des nanoparticules de metaux nobles (i.e. Ag@SiO2 et Au@SiO2) sont etudies comme substrats SERS en couplant thermodynamique et spectroscopie Raman. Ce couplage de l’etude de la reponse Raman et de l’etude thermodynamique de l’adsorption a conduit a une meilleure comprehension de l’influence des particules sur le seuil de detection de la molecule. L’influence de plusieurs parametres sur la reponse Raman de la molecule sonde et sur ses proprietes d’adsorption a aussi ete etudiee (la taille des particules, la nature chimique du metal, etc.). La seconde application concerne le stockage d’hydrogene. Des nanocomposites composes de matrices poreuses de silice ou de carbone dans lesquelles sont incorporees des nanoparticules d’un metal de transition (i.e. Ni@SiO2 et Ni@Carbone) sont etudies comme materiaux de stockage en couplant manometrie et microcalorimetrie d’adsorption. La mise en place d’une methode de reduction adaptee a constitue une etape importante de ce travail. Ce couplage d’etudes thermodynamiques de l’adsorption a permis de determiner les proprietes d’adsorption de l’hydrogene a basse temperature et basses pressions de ces materiaux.
The effect of informational faultlines configurational properties on team creativity and viability: the mediating role of information sharing

Based on team effectiveness framework and subgroup theory, this study constructs a theoretical model that aim to explore the mechanisms between informational subgroup configurations and team effectiveness. Through analyzing a sample of 64 knowledge worker teams, we obtained those following meaningful results:(1) the number of informational subgroups is positively related to open and unique of information sharing; the balance of informational subgroups is negatively related to the open information sharing while positively related to the unique information sharing. (3) The open information sharing is positively related with team viability while the unique information sharing is positively related to team creativity. Critical and insightful advice for the management of informationally diverse teams were proposed at last.
Stability of Nonlinear Descriptor Systems and Applications to Stabilization of Quadcopters

In this paper, new sufficient Lyapunov-like stability conditions and new Lyapunov-like, stabilizability conditions for nonlinear descriptor systems, with control, are presented along with their applications to quadcopter’s flight stabilization. Most of these results are rather practical because they do not need solving nonlinear differential equations and nonlinear algebraic equations. Thus, the usage of these new results requires only the differentiation of functions. The numerical simulation results prove that the stabilization of the quadcopter is improved, in comparison with pure tracking control.
Free cash flow, ownership structure, and capital structure: Impact on agency cost

The difference in interests between investors and company managers creates a conflict of interest, so in this case, a solution is needed to reduce this problem, namely by issuing an agency cost. This study was conducted to determine the effect of free cash flow, managerial ownership, outsider block ownership, and capital structure on agency costs in Indonesia. The population in this study were all non-financial sector companies that have been listed on the Indonesia Stock Exchange for the 2014-2018 period using multiple regression analysis techniques. The results of this study explain that free cash flow, managerial ownership, and capital structure have a significant positive effect on agency cost. Meanwhile, ownership of an outsider block does not affect agency cost. This study contributes to the science of corporate governance, especially the mechanism for reducing agency costs, and contributes to the non-financial companies themselves to reduce agency costs with manager or manager ownership programs and the right decisions in the use of corporate debt.
Screening of nutritional, phytochemical, antioxidant and antibacterial activity of underutilized seeds of Scirpus articulatus: the basis of Khubahi Ramdana industry.

The Scirpus articulatus (Family: Cyperaceae) is widely distributed in India, especially in districts of central and north Bihar as well in some other parts of the country and pops of its seeds are eaten as granular sweets. These underutilized seeds were investigated for their nutritional, phytochemical, antioxidant and antibacterial potential. All assays were carried out in three solvents of increasing polarity. Their nutritional profiling demonstrated them to be an excellent source of phenolic compounds and natural antioxidants in methanolic fraction. They showed 0.0265 g and 0.808 g 100 g -1 DM alkaloids and saponins respectively. Highest phenolic, flavonoid and flavonol contents were obtained as 26.6733 mg GAE 100 mg -1 , 9.568 µg CE 100 mg -1 and 5.851 mg RE 100 g -1 respectively. No significant quantities of antioxidants were obtained in either of the hexane or chloroform fractions. The methanolic extract of seeds obtained a good antioxidant potential of ABTS (IC50 = 0.75 mg ml -1 and FRAP (970.90 µg BHTE 100 mg -1 ). Therefore, it seems reasonable to consider S. articulatus seeds as new valuable ingredient for food and nutraceutical applications.
The Heston Model with Time-Dependent Correlation Driven by Isospectral Flows

In this work, we extend the Heston stochastic volatility model by including a time-dependent correlation that is driven by isospectral flows instead of a constant correlation, being motivated by the fact that the correlation between, e.g., financial products and financial institutions is hardly a fixed constant. We apply different numerical methods, including the method for backward stochastic differential equations (BSDEs) for a fast computation of the extended Heston model. An example of calibration to market data illustrates that our extended Heston model can provide a better volatility smile than the Heston model with other considered extensions.
Neighborhood Preserving and Weighted Subspace Learning Method for Drift Compensation in Gas Sensor

This article presents a novel discriminative subspace-learning-based unsupervised domain adaptation (DA) method for the gas sensor drift problem. Many existing subspace learning approaches assume that the gas sensor data follow a certain distribution such as Gaussian, which often does not exist in real-world applications. In this article, we address this issue by proposing a novel discriminative subspace learning method for DA with neighborhood preserving (DANP). We introduce two novel terms, including the intraclass graph term and the interclass graph term, to embed the graphs into DA. Besides, most existing methods ignore the influence of the subspace learning on the classifier design. To tackle this issue, we present a novel classifier design method (DANP+) that incorporates the DA ability of the subspace into the learning of the classifier. The weighting function is introduced to assign different weights to different dimensions of the subspace. We have verified the effectiveness of the proposed methods by conducting experiments on two public gas sensor datasets in comparison with the state-of-the-art DA methods.
Model Predictive Control With Stochastically Approximated Cost-to-Go for Battery Cooling System of Electric Vehicles

The battery thermal management system of an electric vehicle consumes considerable energy when cooling the battery, which can reduce the driving range. To minimize the energy consumption of the battery cooling system, controllers need to be designed as an optimal control problem. A model predictive control can be applied to the optimal controller design, which can be implemented in real-time but at the cost of a small loss of optimality. The performance of a model predictive controller is affected by its cost structure, which is typically composed of the transition cost and the terminal cost. The transition cost is defined by the controller objective, and energy consumption is one example. However, the terminal cost is user defined and it is the main design factor for the controller performance. In model predictive control, the terminal cost is usually formulated to penalize the state variations, which can cause loss of optimality. In this study, the terminal cost is formulated to represent the cost from the end of the prediction horizon to infinity, which is called the cost-to-go. This approach is consistent at the point of an optimal control problem, and the controller with cost-to-go can achieve more optimal performance than one that penalizes state variations. In the proposed model predictive controller, the cost-to-go is approximated by the optimal expected cost that can be calculated using stochastic dynamic programming. The proposed controller reduces the energy consumption significantly in comparison to a typical model predictive controller without increasing the computing load.
A New Testate Amoeba, Matsakision ogawaraensis sp. nov. (Silicofilosea: Incertae sedis Euglyphida) from Lake Shore Sand of Northern Japan

A new species of a testate amoeba, Matsakision ogawaraensis sp. nov., is described from Ogawara pond, Aomori Prefecture, Japan. This is the third species in the genus Matsakision. Matsakision ogawaraensis sp. nov. is distinguished from two other species by the specific form of the shell in apertural view, which is triangular (the shells of other species are circular or elliptic). In addition, it has a chitinous lip around the aperture. For the first time, long needle-like pseudopodia have been observed.
Self-care practice and its predictors amongst Type-2 Diabetes Mellitus patients in the outpatient department of a tertiary hospital of Kolkata, Eastern India - A cross-sectional study

Purpose: The purpose of this study is to find out the pattern and factors associated with self-care practices among diabetic patients as self-care was considered imperative for the control of disease and enhancement of patient's quality of life. Methods: This is a cross-sectional clinic-based observational study conducted among the type 2 diabetes mellitus patients who came for follow up to the outpatient department of a tertiary hospital of Kolkata from September to December 2019. Self-care practice assessed using questions adapted from the “Summary Diabetes Self-Care Activities Questionnaire” by face-to-face interview. Logistic regression used to find out the predictors of self-care practice. Results: Self-care practice was unsatisfactory among 67.5% of the patients. Near half (56%) of the patients had mild to moderate distress and about 18% were severely distressed. Self-care practice was significantly associated with the educational level, family history, presence of hypertension, advice given regarding self-care activities, and diabetes distress levels of the participants. Conclusions: Primary care physicians should be encouraged to give practical aspects of self-care practices and counseling regarding diabetes distress. To perform self-care practices adequate, support from the family level and community level is imperative.
BOINC: A CONTRIBUIÇÃO DA COMPUTAÇÃO DISTRIBUÍDA NOS AVANÇOS CIENTÍFICOS / BOINC: THE CONTRIBUTION OF DISTRIBUTED COMPUTING TO SCIENTIFIC ADVANCES

RESUMO Este artigo apresenta uma pesquisa sobre avanços científicos possibilitados através da plataforma BOINC, na área da computação distribuída e sua facilidade em participar de um ou mais projetos envolvidos. O objetivo geral do estudo é descrever o BOINC, seus objetivos, contribuições, características e a diversidade de projetos disponíveis. Como objetivos específicos definiu-se: Pesquisar sobre como a plataforma surgiu e porque foi criada; Conhecer mais sobre o projeto precursor; Aprofundar-se sobre os projetos mais conhecidos; Executar a plataforma e obter conhecimento prático dos projetos; Analisar os resultados gerados a partir da execução. A metodologia deste estudo envolve uma pesquisa bibliográfica, partindo de ramos distintos da ciência, como astronomia, física e biologia. A ferramenta de estudo girou em torno da utilização da plataforma em um computador pessoal, para validar a proposta de que a computação distribuída é, de fato, eficiente na busca de novas descobertas científicas utilizando somente processamento ocioso, eliminando, assim, a necessidade de supercomputadores em tais descobertas. O BOINC é um software para computação distribuída que permite a comunicação entre o sistema operacional e os aplicativos nele executados. Através desta pesquisa, foi possível conhecer e entender a computação distribuída, como o BOINC faz-se importante no avanço e nas descobertas científicas, a facilidade de tornar-se voluntário fornecendo apenas processamento ocioso de uma máquina pessoal, como este processamento contribui para grandes pesquisas sem a necessidade de investimento em supercomputadores por parte das instituições, fazendo com que projetos, antes impossíveis, tornem-se viáveis e grandes promissores.
Comparison of LISA vs INSURE Technique using Nasal intermittent positive pressure ventilation (NIPPV) Support In Preterm Infants: A Randomized Controlled Trial

Objective: Surfactant administration is usually performed by endotracheal intubation under mechanical ventilation. Less invasive surfactant administration (LISA) technique has became widespread in recent years, in order to prevent the risk of barotrauma and volutrauma caused by mechanical ventilation and intubation. The aim of this prospective study is to evaluate the effectiveness of surfactant administration via a thin catheter during spontaneous breathing on NIPPV and to compare with INSURE method. Method: Seventy-eight preterm infants who were born at university hospital with less than 34 weeks of gestational age and who received surfactant therapy were enrolled. The intratracheal administration of poractant alfa (CUROSURF®) was performed using umbilical catheters in LISA group (n= 42). INSURE group had 36 infants who were intubated, received surfactant then extubated and placed on NIPPV. Results: There were no statistically significant differences between two groups in terms of intubation in the first 72 hours and re-administration of surfactant, the duration of NIPPV and the occurence of pneumothorax, pulmonary hemorrhage, patent ductus arteriosus, intraventricular hemorrhage, early onset neonatal sepsis, necrotising enterocolitis, bronchopulmonary dsyplasia and mortality (p>0.05). The pCO2 values decreased faster in LISA group when compared to INSURE group and this difference was statistically significant (p<0.05). Conclusions: LISA procedure under NIPPV seems to provide better pCO2 levels and does not increased the mortality and morbidity due to technique. Although the results seem to be promising, we need further investigations and larger series.
Spam Detection in Reviews Using LSTM-Based Multi-Entity Temporal Features

Current works on spam detection in product reviews tend to ignore the temporal relevance among reviews in the user or product entity, resulting in poor detection performance. To address this issue, the present paper proposes a spam detection method that jointly learns comprehensive temporal features from both behavioral and text features in user and product entities. We first extract the behavioral features of a single review, then employ a convolutional neural network (CNN) to learn the text features of this review. We next combine the behavioral features with the text features of each review and train a Long-Short-Term Memory (LSTM) model to learn the temporal features of every review in the user and product entities. Finally, we train a classifier using all of the learned temporal features in order to predict whether a particular review is spam. Experimental results demonstrate that the proposed method can effectively extract the temporal features from historical activities, and can further jointly analyze the activity trajectories from multiple entities. Thus, the proposed method significantly improves the spam detection accuracy.
Hemochemical changes in carp exposed to low cadmium concentrations.

Carp Cyprinus carpio (about 130g in body weight) were exposedto 2, 10 and 42 ppb Cd (CdCl2⋅ 21/2H2O) for 15, 29, 64 and 120 days. The water quality of control aquarium were as follows: water temperature, 21.3-25.2°C; dissolved oxygen concentration, 6.0-7.6mg/l; pH, 7.3-7, 5; water hardness, 60mg CaCO3/l.The fish exposed to 42 ppb Cd consumed less food and grew less than control, 2 and 10 ppb.Most of them died after 29 days. Fish affected by Cd were injured by pecking of other fish. There was little effect of Cd on red blood cell count, hemoglobin concentration, hematoclit value and serum levels or activities of Na, K, Mg, urea-N, triglyeeride, total cholesterol, LDH, AI-P and amylase. On the other hand, serum levels or activities of Ca, Cl, total protein, albumin, globulin, glucose and LAP inclined to decrease, while serum activities of GOT, GPT and LDH inclined to increase. As histopathological changes, swelling of gill epithelial cells, atrophy of hepatic and pancreatic cells, hyperplasia of hematopoietic cells, expansion of renal tubule and atrophy ofrenal epithelial cells in kidney were observed. And Cd-exposed fish showed scoliosis mainly in 12-15th vertebra and damage of neural spine.These hemochemical changes seem to be due to the changes of gill epithelial permeability andthe damage of hepatopancreas and renal tubule reabsorption. Activation of osteoclast and scoliosis which seem to be due to decrease of serum Ca concentration were also observed.
Evaluation of image quality at the detector’s edge of dedicated breast positron emission tomography: Can small breast cancer near the chest wall be detected ?

Purpose : We assessed image quality of dedicated breast positron emission tomography (dbPET) at the detector's edge by phantom and clinical studies.Methods: A breast phantom with four spheres (16, 10, 7.5, and 5 mm in diameter) was filled with 18 F-fluorodeoxyglucose solution of sphere-to-background ratio was 8:1. It was positioned such that the spheres were five different positions from the top edge to the centre of the detector and scanned for 5 min in each position. Reconstructed images were visually evaluated, and % background variability ( %N 5mm ), % contrast ( %Q H ,5mm ), contrast-to-noise ratio ( Q H ,5mm / N 5mm ), and coefficient of variation of the background ( CV background ) were calculated. Next, tumour-to-background ratios (TBRs) between breast cancer near the chest wall (close to the detector’s edge; peripheral group) and at other locations (non-peripheral group) were compared. The TBR of each lesion was also compared between dbPET and PET/computed tomography (CT). Results: As closer to the detector’s edge, the %N 5mm and CV background increased and %Q H ,5mm and Q H ,5mm / N 5mm decreased in the phantom study. The disadvantages of this placement were visually confirmed. With regard to clinical images, TBR of dbPET was significantly higher than that of PET/CT in both the peripheral (12.1±6.2 vs. 6.5±3.4, p =0.0001) and non-peripheral (13.1±7.1 vs. 7.7±7.4, p =0.0004) groups. There was no significant difference in TBR of dbPET between the peripheral and non-peripheral groups (12.1±6.2 vs. 13.1±7.1, p= 0.6367). Conclusion : In the phantom study, the image quality decreased closer to the detector’s edge than at a depth of 1/8. In clinical studies, however, the lesion detectability of dbPET was the same even if the lesion was close to the detector’s edge or not, and it was higher than that in PET/CT. dbPET has a great potential for detecting breast lesions near the chest wall even in young women with small breasts.
Characteristics of soil and hillslope responses in humid tropical forests in Sumatra, Indonesia

: Extensive deforestation in tropical regions may signifi‐ cantly influence the hydrological cycle. However, subsur‐ face runoff processes in thick soil layers in humid tropical forests are poorly understood; thus, the impact of land-use changes in such regions remains unclear. To understand runoff generation mechanisms in the humid tropics, we monitored groundwater and soil moisture dynamics in a forested hillslope in Sumatra, Indonesia. We also conducted field and laboratory experiments to determine soil hydraulic characteristics and used the results to simulate vertical infiltration and groundwater recharge. Although the soil is categorized as silty clay loam, the high infiltrability and high water retention capacity of the soil enabled infil‐ tration during storm events and recharge to groundwater. Within the 4–5 m thick soil layer at the foot of the hillslope, the shallow groundwater table quickly responded to rainfall and did not drop below a depth of 2–3 m, possibly due to continuous flow contributions from the upslope. Overall, this study demonstrates the importance of subsurface flow and vertical infiltration in thick soil layers in humid tropical regions.
Evaluation of cellular changes in blood stored for transfusion at Bungoma County Referral Hospital, Kenya

Introduction during the storage of transfusion blood, it may undergo a series of cellular changes that in speculation could be the reason behind the risk of using prolonged stored blood. It's important therefore to monitor the cellular changes that may reduce its survival and function. The objective was to assess the cellular changes in whole blood stored for transfusion at Bungoma county referral hospital. Methods a single center, prospective and observational study design involving 20 randomly selected donor blood units in citrate phosphate dextrose adenine (CPDA-1) anticoagulant was employed, cellular changes were evaluated for 35 days. The changes were tested using the Celtac F Haematology analyzer. Statistical Analysis of variance was employed in the descriptive statistics. All the investigation was executed using statistical package for social sciences (SPSS V.23). Results were regarded as significant at P<0.05. Results were presented in tables and charts. Results at the end of the 35 days blood storage at blood bank conditions, WBC, RBC, platelets counts and MCHC decreased significantly (P<0.0001, =0.0182, <0.0001, =0.0035). The MCV, HCT and MCH increased significantly (P <0.0001, =0.0003, =0.0115) while HGB had insignificant variance (P =0.4185). Conclusion platelets, WBC, RBC counts, and indices are significantly altered in stored blood especially when stored over two weeks based on most of the cellular components analyzed in this study. The study, therefore, recommends the utilization of fresh blood to avoid the adverse outcome of cellular changes of reserved blood.
Microscopic Numerical Simulations of Epidemic Models on Networks

Mathematical models of the spread of epidemic diseases are studied, paying special attention to networks. We treat the Susceptible-Infected-Recovered (SIR) model and the Susceptible-Exposed-Infectious-Recovered (SEIR) model described by differential equations. We perform microscopic numerical simulations for corresponding epidemic models on networks. Comparing a random network and a scale-free network for the spread of the infection, we emphasize the role of hubs in a scale-free network. We also present a simple derivation of the exact solution of the SIR model.