Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis of magnetic and thermosensitive iron oxide based nanoparticles for biomedical applications

This thesis reports the development of hybrid nanoparticles made of an inorganic iron oxide core and an organic shell for medical applications. Iron oxide nanoparticles (IONPs) were produced by the polyol pathway, leading to a good control over their crystallinity and morphology (monocore or multicore). IONPs with diameters in the range of 4 to 37 nm were produced. Their properties as MRI contrast agents were assessed and compared, for possible theranostic applications. They can be used for treating cancer by magnetic hyperthermia, and as contrast agents for MR imaging. The surface of the IONPs was modified to bring stability in biological conditions, as well as new functionalities. Poly(ethylene glycol) was grafted for its stealth property, poly(2-dimethylaminoethyl methacrylate) (PDMAEMA) and elastin-like polypeptides (ELPs) for their thermosensitive capabilities, and a DY700 fluorescent probe was grafted for tracking nanoparticles in vitro and in vivo. The magnetic and thermosensitive properties of the nanoparticles were studied using a unique set-up combining magnetic hyperthermia with dynamic-light scattering. This set-up allowed measuring the elevations of temperature of the samples as well as variations in diameter and backscattered intensity. Monocore and multicore IONPs grafted with PEG, and monore IONPs grafted with a diblock ELP were tested in vitro. Their interactions with glioblastoma cells were studied, from the internalization pathway inside the cells to their cytotoxic effect (up to 90 %) under magnetic hyperthermia. In vivo, nanoparticles intravenously injected in mice accumulated in the tumors. Intratumoral administration followed by magnetic hyperthermia treatment led to elevations of temperature of up to 10 °C, with a significant effect on the tumor activity.
Impact of Dietary Supplementation of Flaxseed Meal on Intestinal Morphology, Specific Enzymatic Activity, and Cecal Microbiome in Broiler Chickens

The use of natural feed additives could be a beneficial approach to maintaining the health of chickens and a way to improve food digestion. Flaxseed is a rich source of omega-3 fatty acid, alpha linolenic acid, oleic acid, and fiber. The purpose of this study was to evaluate the effects of dietary inclusion of 4% flaxseed on the intestinal morphology, specific enzymatic activity, and cecal microbiome in broiler chickens. The 4-week feeding trial was conducted on 100 Cobb 500 (14 days of age) unsexed broiler chickens divided into two groups: a control group (C) and an experimental group (E). The broilers were housed in boxes of size 3 m2 (each group was housed in a single box with 10 replicates, 5 chickens per replicate) and reared on permanent wood shaves litter (10–12 cm thick). At the end of the experiment, chickens (n = 10) were sacrificed and tissue samples were harvested from the duodenum, jejunum, and cecum for histological, enzymatic, and microbiome analyses. In group E, histological analysis revealed a significant increase in villus height (p < 0.001) possibly leading to enhanced intestinal nutrient absorption. An increase in the specific activities of α-amylase (p < 0.05), invertase (p < 0.01), and endo-β-1,4-glucanase (p < 0.001) was noticed in the E group for the duodenum and jejunum compared to the control group. In contrast, maltase activity decreased in the duodenum and increased in the jejunum in the E group. The trypsin and lipase specific activities did not vary in a significant way. In addition, the cecal microbiome of the E group was characterized by an increase in Lactobacilli (p < 0.01) and Clostridium coccoides and a decrease in Bacteroides, Ruminoccocus, Enterobacteriaceae, and Clostridium leptum. In conclusion, our results suggest that dietary supplementation of flaxseed meal may boost intestinal health status in poultry.
Behavior of Ni(II) and Mn(II) in single and binary aqueous solutions in the adsorption process by rice hull ashes (RHA)

ABSTRACT The retention of nickel and manganese by calcined rice hull ashes (RHA) in single and binary solutions was determined as a function of metal concentration and time. The maximum adsorptions of RHA for Ni(II) and Mn(II) were 7.27 and 6.45 mg/g from monocomponent solutions, and 4.6 and 3.8 mg/g from bicomponent solutions, respectively. The kinetic experimental data best fit a pseudo-second-order model. The k2 is higher for Mn(II) than Ni(II) considering the monocomponent solutions and this parameter is similar between them if the bicomponent solution is considered. The metallic species were partially desorbed from RHA by water.
Sustainability of Regional Agroecological Economic System Based on Emergy Theory: A Case Study of Anhui Province, China

The agroecological economic system is the basic system on which human beings depend for survival. In order to better evaluate the operation status of a regional agroecological economic system and deepen the cognition of the input and output of the regional agroecological economic system from the angle of emergy, the evaluation method of sustainable development of the regional agroecological economic system with comprehensive consideration of resources, economy, and environment was proposed by constructing a unified dimensional measurement model. This paper analyzed and evaluated the data of the agroecological economic system in Anhui Province from 2010 to 2019. The results showed that the agroecological economic system in Anhui Province bore less environmental pressure and gradually decreased, and had a good system efficiency and economic benefits. The average emergy sustainability index (ESI) was 3.12, indicating that the agroecological economic system in Anhui Province had certain vitality of sustainable development. Based on this, the paper puts forward some suggestions on sustainable and high-quality agricultural development in Anhui Province, which provides theoretical and methodical support for sustainable development of a regional agricultural economy.
Graph‐based local climate classification in Iran

In this paper, we introduce a novel graph‐based method to classify the regions with similar climate in a local area. We refer our proposed method as graph partition based method (GPBM). Our proposed method attempts to overcome the shortcomings of the current state‐of‐the‐art methods in the literature. It has no limit on the number of variables that can be used and also preserves the nature of climate data. To illustrate the capability of our proposed algorithm, we benchmark its performance with other state‐of‐the‐art climate classification techniques. The climate data are collected from 24 synoptic stations in Fars province in southern Iran. The data include seven climate variables stored as time series from 1951 to 2017. Our results exhibit that our proposed method performs a more realistic climate classification with less computational time. It can save more information during the climate classification process and is therefore efficient in further data analysis. Furthermore, using our method, we can introduce seasonal graphs to better investigate seasonal climate changes. To the best of our knowledge, our proposed method is the first graph‐based climate classification system.
Factors That Determine the Sorption of Mineral Elements in Soils and Their Impact on Soil and Water Pollution

Soil is an essential ecosystem, delivering valuable services such as the provision of food, energy and raw materials, carbon sequestration, water purification and infiltration, nutrient regulation, pest control and recreation. Therefore, soil is crucial for fighting climate change, protecting human health, safeguarding biodiversity and ecosystems and ensuring food security. Pollution of the soil by organic and inorganic substances is, therefore, detrimental to ecosystem services and/or human health. Heavy metals at harmful concentrations are highly detrimental, and here, mining activities are one of the main sources of soil pollution. According to studies conducted, some of the major soil factors affecting mineral (including P) sorption are time, soil pH, soil organic matter and iron and aluminum oxides of soils. This paper looks at sources of mineral element pollution, including heavy metals, as heavy metals are toxic to all living organisms, including humans. This paper also reviews both cationic heavy metals and inorganic anionic pollutants, such as phosphate and arsenic, as well as cationic, non-heavy-metal pollutants such as nitrogen and potassium.
Intelligent Automation System for Vessels Recognition: Comparison of SIFT and SURF Methods

: Nowadays, with the rise of drone and satellite technology, there is a possibility for its application in sea and coastal surveillance. An advantage of this type of application is the automated recognition of marine objects, among which the most important are vessels. This paper presents the principle of vessel recognition based on the extraction of satellite image features of the vessel and the application of a multilayer perceptron (MLP). Dataset used in this research contains the total of 2750 images, where 2112 images are used as training set while the remaining 638 images are used for testing purposes. The SIFT and SURF algorithms were used to extract image features, which were later used as the input vector for MLP.The best results are achieved if a model with four hidden layers is used. These layers are constructed with 32, 128, 32, 128 neurons with ReLU activation function, respectively. Regarding the application of feature extraction, it can be observed that better results are achieved if the SIFT algorithm is used. The ROC AUC value achieved with the combination of SIFT and MLP reaches 0.99.
Dataset for measuring the conceptual understanding of optics in Rwanda

This dataset is an accumulation of data collected to test Rwandan physics students’ conceptual understanding of light phenomena and to assess instructional tools for active learning of optics. We collected and analysed data from 251 grade 11 (senior 5) students using our Light Phenomena Conceptual Assessment (LPCA) tool and from 136 grade 10 (senior 4) students using Geometric Optics Conceptual Understanding Test (GOCUT) in 2019. Before collecting data, we designed and validated LPCA and GOCUT, and tested their reliability. Data were collected before and after students learnt about the unit of light. Both day and boarding schools in rural and urban areas were included in our sampling. Data collected were test scores from students after performing a 30-item LPCA test or 25-item GOCUT test in 40 minutes. The data may be reused to extend students' understanding of optics concepts through item analysis, analysis of school characteristics such as location and school type, or by analysing students' characteristics such as subject combinations.
Does periodization work? Athletes perform better in major events than in minor competitions

Previous studies on periodization have led to the view that most athletes fail to peak at major events. These conclusions might be based on definitions of “peak performance” that are too narrow. In this study, a track and field athlete was defined as succeeding in a competition if their outcome was within the acceptable range from the best result of the season. The data are from seven championship finals and semifinals together with 42 Diamond League competitions from the 2010s, altogether 7,087 individual results. All field events and running events up to 400 m were included. The majority of athletes succeeded in major events (67.0% in sprint and 57.5% in field events). Overall, championship finals elicit success rates that are more than 70% higher than the basic level achieved in Diamond League competitions (p < 0.001). Success rates were systematically higher (over 60% higher) for the top three versus other competitors in every race (p < 0.001). When an acceptable range is adopted for the definition of what a successful result is, the majority of athletes manage to peak at the most important competitions. In addition, finishing in the top three in championship finals typically requires a peak performance.
Determination of mapping relation between wheel flat and wheel/rail contact force for railway freight wagon using dynamic simulation

In order to comprehensively consider the dynamic behavior of vehicle system and the contact forces between wheel and rail, the vehicle-track coupling model is established considering the flexible wheelset and rail modal characteristics. Guyan reduction theory is introduced to reduce the degrees of freedom of wheelset and rail and to improve the calculation speed. Due to small axle load variation of freight wagon operating on the special line for the coal transportation, the vehicles with different speeds and wheel flat lengths, whether in empty or loaded conditions, are simulated and then the mapping relations between the flat lengths and wheel/rail impact force are obtained. Subsequently, the fitting functions for the empty and loaded vehicles are fitted to quantitatively detect the wheel flat by trackside equipment. The results indicate that the fitting function of empty vehicle has a better effect on predicting the flat length within 6% error since wheel/rail contact force of empty vehicle induced by wheel flat increases with the increase of flat length, while that of loaded vehicle presents a parabola variation trend at low speed and increasing trend at higher speed.
Helium and Argon Interactions with Gold Surfaces: Ab Initio-Assisted Determination of the He–Au Pairwise Potential and Its Application to Accommodation Coefficient Determination

Global potentials for the extremely weak interaction between the He atom and gold surfaces are determined from ab initio calculations and validated with experimental-based determinations of well depth values. Dispersionless density functional periodic calculations are combined with effective pairwise functional parameters for the dispersion. These parameters are obtained from time-dependent density functional theory response theory using localized Hartree–Fock orbitals, as applied on He–Aun clusters. This He–Au pairwise potential is used in molecular dynamics simulations of gas–gold surface collisions from which incident and reflected gas atom velocities allow the determination of energy and momentum accommodation coefficients. Boundary quantities such as slip velocity and thermal resistance are not only derived from these coefficients, but also from a new methodology based on a nonparametric kernel, avoiding the atomic description of the gold surface. Similar collision simulations are performed for Ar fo.
Exponentially asymptotic adaptive tracking control of nonstrict feedback nonlinear systems

This paper considers the asymptotic adaptive tracking control issues for the nonstrict feedback nonlinear systems. By adding the negative exponential function to the Lyapunov function, the exponentially asymptotic convergence is realised for the first time. In addition, the prior knowledge of the lower and upper bounds of unknown nonlinear functions have been removed in this article. The unknown nonlinear functions and uncertain external disturbance are solved by using fuzzy logical systems (FLS) and the bound-estimation method. It is shown that the tracking error can converge to zero at an exponential rate and the whole signals of the controlled system are bounded. Finally, simulation examples have been presented to prove the effectiveness of the raised scheme.
Corporate governance, CEO turnover and say on pay votes

Purpose The purpose of this study is to investigate how compensation committee structure or characteristic impacts say on pay (SOP) voting dissent and the impact of SOP dissent on chief executive officer (CEO) turnover. Design/methodology/approach The authors use corporate governance and SOP data to test the relationships amongst variables. Additional analysis is performed using one-to-one propensity-score matched samples. Findings The authors find that firm-years with at least a female member present on the compensation committee are associated with lower SOP dissent. The authors find mixed results of the impact of SOP dissent on CEO turnover. Practical implications This paper suggests that diversity on the compensation committee, particularly the presence of at least a female member on the committee, serves as an important determinant of SOP voting outcome in the USA. The paper provides policymakers and practitioners with insights into factors influencing SOP voting outcomes and implications of SOP dissent for firms. Originality/value The findings of this paper contribute to the corporate governance literature by enhancing the understanding of the role of the compensation committee as it relates to SOP dissent and effect of SOP dissent on CEO turnover.
Multiple input multiple output (MIMO) and fifth generation (5G): an indispensable technology for sub-6 GHz and millimeter wave future generation mobile terminal applications

Abstract The in-depth exploration in the future 5G technology symbolizes a revolution in technology for antenna designers to encounter the all time increasing need as well as demand for higher data rate wireless communications. The paper gives out an exhaustive review of the evolution and characteristics of the 5G spectrum allocations, the MIMO antenna design with regard to mutual coupling reduction techniques and safer user applications. It precisely covers almost all the aspects of 5G which mainly include the types of antenna designs and their performance parameters related to MIMO design. The paper also presents a brief description of massive MIMO technology for base station applications. The main aim of the paper is: (1) to emphasize the frequencies allocated for the 5G including sub-6 Ghz and mm-wave bands; (2) to underline the suitable antenna designs for MIMO applications for mobile devices and base stations; (3) to highlight the mutual coupling effects in MIMO designs and its reduction techniques; (4) to consider the gaps in the literature and the challenges for reducing SAR effects for the safety of the users. This review paper has been an attempt to explore the evolution of 5G bands and antenna designs for 5G applications, comparison based on the literature, and the techniques implemented for enhancing the MIMO antenna performances.
HULTIG-C: NLP Corpus and Services in the Cloud

Nowadays, the use of language corpora for many purposes has increased significantly. General corpora exist for numerous languages, but research often needs more specialized corpora. The Web's rapid growth has significantly improved access to thousands of online documents, highly specialized texts and comparable texts on the same subject covering several languages in electronic form. However, research has continued to concentrate on corpus annotation instead of corpus creation tools. Consequently, many researchers create their own corpora, independently solve problems, and generate project-specific systems. The corpus construction is used for many NLP applications, including machine translation, information retrieval, and question-answering. This paper presents a new NLP Corpus and Services in the Cloud called HULTIG-C. HULTIG-C is characterized by various languages that include unique annotations such as keywords set, sentences set, named entity recognition set, and multiword set. Moreover, a framework incorporates the main components for license detection, language identification, boilerplate removal and document deduplication to process the HULTIG-C. Furthermore, this paper presents some potential issues related to constructing multilingual corpora from the Web.
The Effect of Mindfulness-based Group Therapy on Aggression and Resilience of Suburban Children in Mashhad

Introduction: Given the effect of low socio-economic status of marginalized residents on children's behavioral and emotional problems, it is important to take measures to strengthen resilience and reduce aggression in children. This paper aims to determine the effect of mindfulness-based group therapy on resilience and aggression of children in the suburbs of Mashhad. Method: This quasi-experimental study was performed on 60 elementary school students aged 8-12 years referred to the social worker and psychology clinic in Sayyedi district of Mashhad in 2019-2020. They were randomly assigned to the intervention (n = 30) and control (n = 30) groups. The intervention group received mindfulness-based group therapy using Kabat-Zinn's (2003) approach over 8 sessions of 90 min while the control group was placed on a waiting list. Data collection tools included the Social-Emotional Assets and Resilience Scale (SEARS) as well as the Buss and Perry Aggression Questionnaire (AGQ). Data analysis was conducted using SPSS 22 software and MANCOVA test. Results: The results showed that mindfulness-based group therapy could significantly improve resilience and reduce aggression in the intervention group compared to the control group (p<0.001). Conclusion: Mindfulness-based group therapy can be effective in mitigating aggression and enhancing resilience of children in the suburbs of Mashhad.
Verifiable Semantic-Aware Ranked Keyword Search in Cloud-Assisted Edge Computing

Ranked keyword search has gained Ranked keyword search has gained traction due to its attractive properties such as flexibility and accessibility. However, most existing ranked keyword search schemes ignore the semantic associations between the documents and queries. To solve this challenging issue in cloud-assisted edge computing, we first design the Semantic-aware Ranked Multi-keyword Search (SRMS) scheme by adopting the Latent Dirichlet Allocation (LDA) topic model and the Chinese Remainder Theorem (CRT)-based secret sharing mechanism. Considering that the cloud server may be malicious, we implement a basic verification mechanism in SRMS to verify the correctness and completeness of search results and extend this verification mechanism in cloud-assisted edge computing scenarios. Formal security analysis proves that SRMS and extended result verification mechanisms are secure in both the known ciphertext model and the known background model. Extensive experiments using the real-world dataset demonstrate that SRMS is efficient and practical.
Underutilization Versus Nutritional-Nutraceutical Potential of the Amaranthus Food Plant: A Mini-Review

Amaranthus is a C4 plant tolerant to drought, and plant diseases and a suitable option for climate change. This plant could form part of every region’s cultural heritage and can be transferred to the next generation. Moreover, Amaranthus is a multipurpose plant that has been identified as a traditional edible vegetable endowed with nutritional value, besides its fodder, medicinal, nutraceutical, industrial, and ornamental potentials. In recent decade Amaranthus has received increased research interest. Despite its endowment, there is a dearth of awareness of its numerous potential benefits hence, it is being underutilized. Suitable cultivation systems, innovative processing, and value-adding techniques to promote its utilization are scarce. However, a food-based approach has been suggested as a sustainable measure that tackles food-related problem, especially in harsh weather. Thus, in this review, a literature search for updated progress and potential uses of Amaranthus from online databases of peer-reviewed articles and books was conducted. In addition, the nomenclature, nutritional, and nutraceutical value, was reviewed. The species of focus highlighted in the review include, A. blitum, A. caudatus, A. cruentus, A. dubius, A. hypochondriacus, A. spinosus, A. thunbergii, A. tricolor, and A. viridis.