Miracle-dz/UniFAR-FTUs huggingface dataset:
DOMAIN OF INFLUENCE OF LOCAL VOLATILITY FUNCTION ON THE SOLUTIONS OF THE GENERAL BLACK-SCHOLES EQUATION

We investigate the domain of influence of the local volatility function on the solutions of the general Black–Scholes model. First, we generate the sample paths of underlying asset using the Monte Carlo simulation. Next, we define the inner and outer domains to find the effective volatility region. To confirm the effect of the inner domain, we use the root mean square error for the European call option prices, and then change the values of volatility in the proposed domain. The computational experiments confirm that there is an effective region which dominates the option pricing.
Research on the influence of theme restaurant interior design on users’ consumption behavior based on the layout of interior environment space

The traditional research method of user consumption behavior influence is too subjective in the selection of indicators at the time of research, which leads to poor referenceability of research results. To this end, the problems of traditional influence research methods are improved by proposing a method for analyzing the influence of theme restaurant interior design on user consumption behavior based on the spatial layout of the interior environment. On the basis of analyzing user consumption behavior patterns and determining factors affecting consumption behavior, the influence model of user consumption behavior is constructed and statistical indicators are selected to complete the research process. The simulation experiment proves that the research results of applying the method can effectively improve the restaurant operation and have practical value.
Morphokinetic Analysis of Preimplantation Development of Mouse Oocytes Fertilised in Vitro Using a Non-humidifying Incubator With Time-lapse Cinematography (CCM-iBIS)

Preimplantation development of mouse oocytes fertilised in vitro was assessed in a non-humidified incubator with time-lapse cinematography (CCM-iBIS). The developmental rates of embryos to the 4-cell and blastocyst stages under 5% CO2, 5% O2, and 90% N2 in CCM-iBIS were significantly higher than those under 5% CO2 in air in CCM-iBIS and a conventional CO2 incubator (CPO2-2301). The developmental speed of embryos was much faster in those cultured under lower oxygen tension in CCM-iBIS than in higher oxygen tension in CCM-iBIS and CPO2-2301. Embryonic development was much faster and more synchronised under lower oxygen tension. Non-humidified culture did not affect the development of the embryos. Mouse embryos cultured at lower oxygen tension reached 2-cell at 17 h, 3-cell at 39 h, 4-cell at 40 h, initiation of compaction at 58 h, morula at 70 h, and blastocyst at 82 h after insemination on average. Although compaction partially unravelled with cell division in compacting embryos, it appeared to complete depending on the timing of observation. Observation at a conventional 24-h interval 13 likely misjudges the developmental rate to morula. Determination of embryonic development 72 h after insemination may be more appropriate for “compacting morula” rather than “morula” in mice.
Electrochemical immunosensors and their recent nanomaterial-based signal amplification strategies: a review

In recent years, tremendous advances have been made in biosensors based on nanoscale electrochemical immunosensors for use in the fields of agriculture, food safety, biomedicine, quality control, and environmental and industrial monitoring. One of the main challenges in biosensors is achieving an extremely low limit of detection. A current trend to address this is fabrication of highly sensitive electrochemical immunosensors through the use of nanotechnology; for example, biofunctionalization of nanomaterials that are used as a catalyst, label or biosensing transducer. This review introduces recent advances in signal amplification strategies for electrochemical immunosensing applications, with a particular focus on nanotechnology. The strategies employed and their general principles to increase sensitivity, as well as the advantages and limitations of electrochemical immunosensors developed to date are also considered.
Mothers Intention to Use Mobile Phone Text Message Reminders for Routine Child Vaccination in Northwest, Ethiopia

Background: The immunization program in most developing countries including Ethiopia is challenged by lack of effective methods to track vaccination schedules. With the unprecedented penetration of mobile devices in developing world, mHealth applications are being leveraged for different disease domains. Among the different factors that affect the use of mHealth interventions is the intention of end users to use the system. In this research, we aimed to fill the evidence gap by investigating mother’s intention to use text-message reminders for vaccination in north-west, Ethiopia.Methods: A cross-sectional study was conducted among 460 mothers presenting with their infants for vaccination at a health facility from October 1 to 26, 2018. A systematic random sampling technique was applied to select study participants. Data were collected using validated instrument. Descriptive statistics were computed and binary logistic regression analyses was used to assess factors associated with the outcome variable. The regression results were reported as AORs with their 95% CIs. Results: Of 456 mothers included for analysis, 360 (78.9%) with 95% CI: (74.9% - 82.4%) of mothers have intention to use mobile phone text message reminders for vaccination. Of these, 270 (75%) also wanted to receive the reminders a day before the vaccination due date for the child. The preferred language for receiving reminders was Amharic language (58.1%). Mothers aged 35 years and above [AOR = 0.352; 95%CI: 0.149- 0.833], secondary education and above [AOR= 4.428; 95% CI: 2.046- 9.580], mobile phone use for more than two years [AOR= 3.627; 95%CI: 1.657-7.938], perceived usefulness [AOR: 6.372; 95%CI: 3.128-12.981] and perceived ease of use [AOR: 3.847; 95%CI: 2.061- 7.180] were predictors of intention to use mobile phone text message reminders for vaccination.Conclusion: Majority of mothers have intention to use mobile phone text message reminders for child vaccination. Mother’s age, education, duration of mobile phone use, perceived usefulness, and perceived ease of use were associated with intention of mothers to use mobile phone text message reminders for vaccination. Considering these predictors and user’s preference could inform the implementation strategy for use of the mHealth supported text messaging interventions in the resource limited setting of Ethiopia.
App-Based Feedback for Rehabilitation Exercise Correction in Patients With Knee or Hip Osteoarthritis: Prospective Cohort Study

Background The use of digital therapeutic solutions for rehabilitation of conditions such as osteoarthritis provides scalable access to rehabilitation. Few validated technological solutions exist to ensure supervision of users while they exercise at home. Motion Coach (Kaia Health GmbH) provides audiovisual feedback on exercise execution in real time on conventional smartphones. Objective We hypothesized that the interrater agreement between physiotherapists and Motion Coach would be noninferior to physiotherapists’ interrater agreement for exercise evaluations in a cohort with osteoarthritis. Methods Patients diagnosed with osteoarthritis of the knee or hip were recruited at a university hospital to perform a set of 6 exercises. Agreement between Motion Coach and 2 physiotherapists’ corrections for segments of the exercises were compared using Cohen κ and percent agreement. Results Participants (n=24) were enrolled and evaluated. There were no significant differences between interrater agreements (Motion Coach app vs physiotherapists: percent agreement 0.828; physiotherapist 1 vs physiotherapist 2: percent agreement 0.833; P<.001). Age (70 years or under, older than 70 years), gender (male, female), or BMI (30 kg/m2 or under, greater than 30 kg/m2) subgroup analysis revealed no detectable difference in interrater agreement. There was no detectable difference in levels of interrater agreement between Motion Coach vs physiotherapists and between physiotherapists in any of the 6 exercises. Conclusions The results demonstrated that Motion Coach is noninferior to physiotherapist evaluations. Interrater agreement did not differ between 2 physiotherapists or between physiotherapists and the Motion Coach app. This finding was valid for all investigated exercises and subgroups. These results confirm the ability of Motion Coach to detect user form during exercise and provide valid feedback to users with musculoskeletal disorders.
The Photochemical Generation of Ozone : Present State–of–the–Art

Abstract This paper reflects an investigation of the feasibility of photochemical generation of ozone by irradiating gases containing oxygen with Hg lamps of the highest performance emitting the 185 nm line. Besides the expected photostationary equilibrium, determining factors for practical yields in ozone generation by the 185 nm wavelength are : the reactor and gas temperature, the reactor geometry, and the gas composition, as well as the pressure. Further developments are expected in the field of lamp construction and also improvement of reactor geometry. A better knowledge of the aging of the lamps is required, as well as of the photochemical reactions of oxygen in the technologies applied. Systems presently available are most promising for application on small scale or in areas of public water distribution which have no developed structure.
Writing Analytics and Program Assessment: How Novice Writers Use Rubric Terminology in Reflective Essays

● Background: In an effort to expand programmatic writing assessment to incorporate data being collected through the ePortfolio process, this study applied textual analytics methods to examine a large corpus of reflective essays collected from the students in a general education writing program after completing three of the five writing-intensive courses in the program’s sequence. This study sought to understand how students use language in their ePortfolio reflections, how that aligns with the writing construct and terminology of the program, and how our outcomes and pedagogy can support transfer and deeper learning through reflective writing opportunities.
Impact of External Assistance Programs on Supply Chain Energy Efficiency: A Behavioral Investigation

Problem Definition: We take a behavioral perspective to examine the two-stage energy efficiency (EE) investment decision process that many small-and-medium-sized manufacturers (SMMs) face and the potential benefit that external assistance programs provide in both increasing the propensity to take on an assessment and choosing an appropriate EE investment level. Academic/Practical Relevance: A significant portion of energy efficiency improvement opportunities remain dormant at SMMs. External assistance programs are designed to help encourage SMMs to overcome the initial assessment hurdle. However, it is unclear if the source of such programs, whether offered by a downstream buyer or a third-party organization, results in different behavioral outcomes. This study provides insights for policymakers looking to design more effective external assistance programs. Methodology: We use analytical models and behavioral theory to develop a set of hypotheses concerning the impact of two types of external assistance programs. These hypotheses are further informed and tested through three sets of human experiments using participants from MTurk. Results: We confirm the anecdotal observation that, without any external intervention, a significant portion of profitable assessments remains dormant. Although third-party or buyer-offer assessment assistance programs perform equally well in increasing the propensity to conduct a profitable assessment, a buyer-offer program appears to be more efficient as it results in a higher portion of self-financed assessment, i.e., less free-riding. In the investment stage, we observed that investments are not influenced by the assessment cost. However, SMMs who self-finances or uses third-party assistance are prone to apply the representative heuristic and so, tend to under-invest (over-invest) when the assessment reveals highly (less) profitable EE opportunities. A buyer-offered assistance program could, interestingly, alleviate this behavioral bias, leading to investments that align better with the expected profit maximizing levels. Managerial Implications: Our results suggest that it can be more cost-efficient and effective for third-party organizations to collaborate with buyers in providing assistance and managing information instead of providing free assessments directly to SMMs, which is often the case in practice. This is because a buyer-offered assistance program could achieve the same supply chain EE results without having to inject extra cash to cover the assessment cost.
Exploring the Roles of Fecundity-related mRNAs and Long Non-coding RNAs in the Adrenal Glands of Small-tailed Han Sheep

Background Long non-coding RNAs (lncRNAs) can play important roles in uterine and ovarian functions. However, little researches have been done on the role of lncRNAs in the adrenal gland of sheep. Herein, RNA sequencing was used to compare and analyze gene expressions in adrenal tissues between FecB ++ (WW) and FecB BB (MM) sheep in the follicular and luteal phases and key lncRNAs and genes associated with reproduction were identified. Results In MM sheep, 38 lncRNAs and 545 mRNAs were differentially expressed in the adrenal gland between the luteal and follicular phases; In WW sheep, 30 differentially expressed lncRNAs and 210 mRNAs were identified. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses indicated that differentially expressed lncRNAs and their target genes are mainly involved in the circadian rhythm, the mitogen activated protein kinase, thyroid, ovarian steroidogenesis and transforming growth factor beta signaling pathways. Key lncRNAs can regulate reproduction by modulating genes involved in these signaling pathways and biological processes. Specifically, XLOC_254761 , XLOC_357966 , 105614839 and XLOC_212877 targeting CREB1 , PER3 , SMAD1 and TGFBR2 , respectively, appear to play key regulatory roles. Conclusion These results broaden our understanding of lncRNAs in adrenal gland of sheep and provide new insights into the molecular mechanisms underlying sheep reproduction.
Kinetics Study of the Esterification of Acetic Acid with Methanol using Low-Corrosive Brønsted Acidic Ionic Liquids as Catalysts

The kinetics for the esterification of acetic acid with methanol was studied systemically in the presence of low-corrosive Brønsted acidic ionic liquids (BAILs) as catalysts. The effect of various parameters such as catalyst type, agitation speed, temperature, catalyst loading, and molar ratio of the reactants on the conversion of acidic acid was studied in detail to obtain the optimal reaction conditions. Moreover, the pseudo-homogeneous (PH) kinetic model was utilized successfully to correlate the experimental data in the temperature range from 323.15 to 343.15 K. Thus, a complete kinetic equation for describing this esterification system was developed that provides to obtain the kinetic information for the simulation and design of catalytic distillation column in the synthesis of methyl acetate.
Theoretical Determination of the Most Stable Structures of NimAgn Bimetallic Nanoalloys

The structure of the global total-energy minimum for all bimetallic NimAgn nanoalloys with m + n = N = 2−60 atoms has been identified theoretically by combining the embedded-atom model for the total-energy evaluation with the basin-hopping algorithm for global structure optimization. All global minima structures are found to be related to icosahedra and polyicosahedra, except for some Ni- or Ag-rich clusters for N = 38. Through a careful analysis of the total energy as a function of (m,n), various particularly stable structures can be identified. The results show in most cases that Ag-rich structures are more favored and stable compared with the Ni-rich structures. By analyzing the bond-order parameter and the radial distances, we can demonstrate the existence of core−shell structures with a partial segregation of Ag to the surface of the Ni−Ag clusters.
Comparative Analysis for Different Digital Modulation Techniques

In the paper, we present an analytical comparison for various modulation techniques that can be used in a digital communication system. Digital modulation offers more powerful security, information, quality communication, and great capacity. Therefore, digital modulation systems have a maximal and important role in their capacity to transfer bigger amounts of data than analogue ones. There are more types of digital modulation like multiple amplitudes, frequencies, and phase shift keys. The results examine the comparisons of modulation techniques and the benefits of each system to determine which would be the most suitable for a specific application. The paper also discusses the effectiveness of different bandwidth and power efficiency factors.
Urban green spaces in Dhaka, Bangladesh, harbour nearly half the country’s butterfly diversity

Cities currently harbour more than half of the world’s human population and continued urban expansion replaces natural landscapes and increases habitat fragmentation. The impacts of urbanisation on biodiversity have been extensively studied in some parts of the world, but there is limited information from South Asia, despite the rapid expansion of cities in the region. Here, we present the results of monthly surveys of butterflies in three urban parks in Dhaka city, Bangladesh, over a 3-year period (January 2014 to December 2016). We recorded 45% (137 of the 305 species) of the country’s butterfly richness, and 40% of the species detected are listed as nationally threatened. However, butterfly species richness declined rapidly in the three study areas over the 3-year period, and the decline appeared to be more severe among threatened species. We developed linear mixed effect models to assess the relationship between climatic variables and butterfly species richness. Overall, species richness was positively associated with maximum temperature and negatively with mean relative humidity and saturation deficit. Our results demonstrate the importance of urban green spaces for nationally threatened butterflies. With rapidly declining urban green spaces in Dhaka and other South Asian cities, we are likely to lose refuges for threatened fauna. There is an urgent need to understand urban biodiversity dynamics in the region, and for proactive management of urban green spaces to protect butterflies in South Asia.
Satellite Image Classification Method Using ELBP and SVM Classifier

A machine learning-based Support vector machine (SVM) and Extended Local Binary Patterns (ELBP) methods have been used for the classification of satellite images among a set of 24 different classes. This work does not only classify the satellite image class this work is also capable of classifying 24 different class however to identify the features of those other classes like the human face, football, dog, etc. is also simple because these other classes have some exclusive features which can be simply to differentiate hence easy classification. In the case of the satellite image, the major issue is that different satellite images may have different features that make satellite image classification hard. Another issue is that safelight images are normally noise corrupted. The noise patterns of the wireless image are estimated using SVM Classifier, and with those estimated noise patterns removed by SVM algorithm of signal classification. This work first performs segmentation on the input test image to be classified then finds out the local binary patterns using the proposed ELBP method. The Extended LBP is needed because to differentiate the patterns of different satellite images and different other class images cannot be estimated with LBP only. Once extended features obtained SVM classifies the class of the test image. The method used in this work is ELBP-SVM and the Satellite image correct recognition obtain is 94%. The experimental results obtained on MATLAB 2018b and the results found are better than other available work t. classify satellite images.
Evaluation of Potable Groundwater Quality Using Environmetrics. The case of Nestos and Strymon River Regions, Northern Greece

In the present study potable water samples were regularly collected from two geographical regions in Northern Greece. The two regions are close to the Nestos and Strymon Rivers. Throughout 2015, samples from 13 sites were collected and analyzed with a frequency of three times per each quarter for the following parameters: chloride, calcium, nitrate, potassium, electric conductivity and total hardness. The main objective of this study was to investigate the effects of the geographical region and seasonal influence on the above parameters regarding the limits of the 98/83/EC Directive. The findings of the Linear Mixed Effects modeling revealed statistically significant main effects of both factors on the examined parameters.
Electrochemical Sensor for Ultrasensitive Determination of Bisphenol A based on Gold Nanoparticles/β-cyclodextrin Functionalized Reduced Graphene Oxide Nanocomposite

In this work, an electrochemical sensor based on a β-cyclodextrin functionalized reduced graphene oxide/gold nanoparticles (β-CD/RGO/Au) composite modified glassy carbon electrode (GCE) was proposed for the ultrasensitive detection of bisphenol A (BPA). The β-CD/RGO/Au nanocomposite was synthesized by a microwave heating method followed by an electrodeposition process. The prepared nanocomposite was carefully characterized by FTIR, Raman spectroscopy, UV-vis spectroscopy, SEM, EDX and XRD. The electrocatalytic oxidation of BPA on the modified GCE was investigated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The results showed that the β-CD/RGO/Au modified GCE could effectively enhance the electrochemical detection performance towards oxidation of BPA due to the synergetic effects of RGO and Au NPs with supramolecular recognition capability of β-CD. The proposed sensor exhibited excellent linear relationship between the detection current and BPA concentration in the range from 0.01 to 50 μM. The detection limit was estimated as 0.003 μM (S/N = 3). Moreover, the proposed BPA sensor has also been successfully used for determining BPA in various real samples.
Machine learning for algorithmic trading

The purpose of the study is to confirm the feasibility of using machine learning methods to predict the behavior of the foreign exchange market. The article examines the theoretical and practical aspects of the implementation of artificial neural networks in the process of Internet trading. We studied the features of constructing automated trading advisors that perform trading operations based on the forecast of neural networks in combination with indicator signals. As a result, a hybrid system has been built that has a high-precision forecast and allows you to make a profit with the correct selection of parameters.