Miracle-dz/UniFAR-FTUs huggingface dataset:
CTAB-Assisted Precipitation Synthesis of Ca(OH)2 Sorbent for CO2 Captures

Ca (OH)2 sorbent with novel pods bundle structure were successfully synthesized by precipitation method by using Cetyltrimethylammonium bromide (CTAB) as cationic surfactant. The effects of CTAB on the morphologies of Ca (OH)2 sorbent were investigated. The results showed that the presence of CTAB could significantly differ the shape and particle size of the Ca (OH)2 sorbent which synthesized in ethanol media at 35°C for 30 minutes. The XRD pattern indicated that the as-prepared product were well-crystallized hexagonal phase of Ca (OH)2 sorbent. Possible mechanisms for the CTAB assisted particle growth of Ca (OH)2 sorbent are discussed. The Ca (OH)2 sorbent have been studied by thermal gravimetric analyzer (TGA) at a 650oC carbonation temperature. The morphological changes and particle size of the sorbent have greatly influenced the CO2 capture performance.
Dual diagnosis of De novo Myelodysplastic Syndrome and Multiple Myeloma: Youngest Case to be Reported and Literature Review

Thirty years old female was referred to hematology for mild pancytopenia since December 2017. She is generally in good health but in December 2017 she was experiencing unexplained tiredness and a subsequently blood test showed her to have Hemoglobin 110 g/L, Mean Corpuscular Volume (MCV) 85 femtoliter, neutrophil count 0.8 × 10^9/L and platelet count of 137 × 10^9/L. Her pancytopenia continues to get worse and blood test on June 2018 showed Hemoglobin 90 g/L, neutrophils count 0.9 × 10^9/L and platelets count 125 × 10^9/L. She had normal ferritin level, normal serum vitamin B12 level and normal serum folate level. Her autoantibody profile as well as viral screen negative and she had normal renal and liver profile. Coagulation profile normal.
Explaining politicization of European integration in public debates on major integration steps

While there is increasing evidence that European integration has been politicized, knowledge on the driving forces of this process is still limited. In this paper, we contribute to this research by examining the importance of authority transfers to the EU as drivers of politicization. It innovates in two ways: First, we extend the authority transfer argument by highlighting the mobilizing power of membership conflicts; and, second, we analyze the relevance of national opportunity structures, referenda in particular, and actors’ mobilizing strategies for politicization. Our findings show that the authority transfer argument needs to be extended and integrated into a broader framework of political conflict. Empirically, we trace politicization in public debates on every integration step (treaty reforms and enlargement) from the 1970s to the late 2000s in six West European countries (France, Germany, Britain, Austria, Sweden, and Switzerland) based on a relational content analysis of newspaper coverage.
Passive Presence Detection Algorithm for Wi-Fi Sensing

In this paper, we derive a signal processing algorithm that enables a Wi-Fi station to passively detect the presence of a potential user in its vicinity. It is assumed that the potential user either doesn’t carry a Wi-Fi device or, if it does, that its device does not participate in the detection procedure. Passive presence detection is performed by the station by means of tracking over time channel estimates obtained with packets transmitted by one or more stations in the Wi-Fi network, and determining when the user presence impacts the received signals. The proposed algorithm performs binary hypothesis testing and decides if a potential user is in the vicinity of the Wi-Fi station. It uses an estimate of the dynamic channel component power as the test statistic and compares it to a predefined threshold. As formulated in the paper, to increase the detection reliability, the power of the dynamic channel component is maximized by using an optimization procedure. Experimental results obtained with off-the-shelf Wi-Fi devices and with the proposed algorithm are presented which demonstrate the validity of the analytical formulation, as well as the feasibility of performing passive presence detection using a Wi-Fi network. In controlled residential and enterprise settings, the proposed algorithm provided a detection rate of 99.7% for a false alarm rate of less than 1%.
A Probabilistic Path Measurement Approach for Cluster-Based Energy Efficient Routing in Wireless Sensor Networks

A dynamic routing protocol can perform heterogeneous WSN better to present energy-efficient and robust connectivity among nodes and the sink. We are planning a routing protocol for heterogeneous networks. In these networks, the Energy-balanced routing protocol transmits data packets toward the sink through compact energy areas to preserve the nodes with comparatively low remaining energy. The Protocol is optimized dynamically by a restrained optimization problem. This paper recognizes sensor nodes with random initial strengths and random differences in data propagation rate (traffic) to model a realistic clustering-based WSN accommodated for heterogeneous devices in the Internet of Things (IoT) networks and sensing applications. In this paper, offering an energy model for the situation and suggests a Cluster-Based Energy and Efficient Traffic Aware Routing (CEETAR) scheme to increase the stability time. The simulation results show that the proposed CE-ETAR outperforms other clustering based routing algorithms under the outline. The performance of topology and routing is evaluated through simulations in a large indoor office scenario based on realistic channel models and propagation characteristics. The Simulation result illustrates the efficiency of the proposed system compared to an algorithm developed for sensor network.
Stochastic Storm Transposition for Physically-Based Rainfall and Flood Hazard Analyses

Geospatial transposition of observed storms can be useful for examining potential rainfall and flood hazards, and several recent software packages help facilitate transposition of remote sensing-based rainfall observations from radar or satellites. Two unanswered questions persist, however, in regions that exhibit heterogeneity in extreme rainfall properties: is transposition reasonable, and if so, how should it be performed? This note posits that the answer to the first question depends on the degree of heterogeneity, and attempts to answer the second question via “rescaling” transposed rainfall according to the degree of heterogeneity between two locations. General considerations for this rescaling are discussed and two rescaling methods are introduced. Both methods are illustrated using gage-corrected radar rainfall data from three locations in the Front Range of the Rocky Mountains in Colorado that exhibit moderate heterogeneity in extreme rainfall hydroclimate. The second of these methods, termed stochastic distribution ratio rescaling, is presented here for the first time, and has the advantage of straightforward uncertainty estimation.
Satisfactory level of online classes among Physiotherapy students

Background: In this COVID-19 pandemic, online education became a pedagogical shift from traditional method to modern approach of teaching-learning. Physiotherapy is a field which deals with patients, and syllabus is practical oriented, these online classes during this pandemic are in need of evaluation. So the Aim of the study is to evaluate the online classes and satisfactory level of the online classes among Physiotherapy students. Materials and Methodology: We conducted classes from July, 2020 to September, 2020 using the Google Meet. A questionnaire was created with Google forms to evaluate the perception of online classes among Physiotherapy students and then circulated among Undergraduate students through the class coordinators. A total of 144 responses were collected and descriptive statistics were used to analyze the data. Results: The percentage of the satisfactory level of online classes among the physiotherapy students were 52% (Satisfied), 38% (Somewhat Satisfied), 6% (Somewhat Dissatisfied) and 4% (Dissatisfied). The overall responses about online classes were 3% (Excellent), 69% (Good), 24% (Fair) and 4% (Poor). Conclusion: This study concluded online classes are considered as a useful approach among the Physiotherapy students in this pandemic situation and most of the students were satisfied with those classes. IndexTerms: Online Classes, Physiotherapy students, satisfactory level ________________________________________________________________________________________________________
Size Effect on the Acoustic Emission Behavior of Textile-Reinforced Cement Composites

Acoustic emission (AE) is applied for the structural health evaluation of materials. It commonly uses piezoelectric sensors to detect elastic waves coming from energy releases within the material. Concerning cementitious composites as well as polymers, AE parameters have proven their potential to not only detect the existence of a defect, its location and the fracture mode, but also the developing strain field even before visible damage evolves. However, the wave propagation distance, wave dispersion due to plate geometry, heterogeneity and reflections result in attenuation and distortion of the AE waveforms. These factors render the interpretation more complex, especially for large samples. In this study, the effect of wave propagation on plain glass textile-reinforced cement (TRC) plates is investigated. Then, curved plates with different widths are mechanically loaded for bending with concurrent AE monitoring. The aim is to evaluate to what extent the plate dimensions and propagation distance influence the original AE characteristics corresponding to a certain fracture mechanism.
ULTRASONIC MONITORIZATION OF CHONDROCYTE PROLIFERATION IN A BIOREACTOR

A bioreactor has been designed to achieve a real-time testing of a tissue by means of ultrasonic signal analysis. Polylactic acid (PLA) bioprinted scaffolds were seeded with human chondrocytes. Then, scaffolds were introduced into the bioreactor and cells were monitored by an ultrasonic sine-burst of 1 MHz during 4 weeks. From a mechanical standpoint, this system is analyzed as a multilayer composed of PLA-tissue-PLA laminates and we register the output signal after crossing all them. A set of models that simulate the ultrasound-tissue interaction are evaluated by the inverse-problem formalism. Eventually, a stochastic model-class selection formulation is used to rank which model is the most suitable to describe the tissue acoustic properties. The parameters derived from this process (wave velocity and attenuation) are useful to indirectly determine other mechanical properties (i.e. Bulk modulus). Moreover, proliferation was analyzed to ascertain the proper distribution of the seeded cells.
Antecedents of Corporate Income Smoothing of Financially Distress Likelihood Quoted Companies in Nigeria

The incessant income smoothing of corporate organisations has generated much concern by corporate reporting practitioners and academics worldwide. Though income smoothing is legal, it is deceptive. This study focused on the antecedents of income smoothing by financial distress likelihood quoted companies in Nigeria. It specifically examined the firm size, Leverage, board independence, managerial ownership and board gender diversity on income smoothing of financial distress likelihood zone companies in Nigeria. It is an experimental research design covering six (5) years from 2014 to 2019. The entirety of the study was 114 non-financial companies quoted on the Nigerian Stock Exchange, while 59 companies constituted the sample size arrived at using Altman's Z-Score. TheEckle methodological model was usedfor the assessment of income smoothing before applying the dichotomous variable approach. Content analysis of annual financial reports of sampled companies was employed, and data were analysed using descriptive and inferential statistics such as Pearson correlation, variance inflation factor, panel and pooled least square regressions. This study revealed that firm size,Leverage,board size, and managerial shares shareholdings have a positiverelationship with income smoothing. Simultaneously, board independence and board gender diversity have no significant influence and were also negatively related to income smoothing of financial distress likelihood companies in Nigeria. We, therefore, recommendthat an independent board made up of male and female of different disciplines and professional qualification in accounting and finance should be encouraged irrespective of the size of the firm. The recommendation is based on the need to ensure financial reporting quality instead of smoothing income even when the firm is at the threshold of financial distress in Nigeria
A Survey of Image Captioning Models

Image caption generation has been a challenging problem for a long time.Numerous attempts have been made at the difficult task of image captioning, which includes the complexities of both computer vision and natural language processing. Deep Learning models have the capability to perform the intricate task of image captioning. In this survey paper, we aim to give a complete review of the various image captioning techniques that have been implemented till date. We discuss the structure of the various models, their performance, advantages and limitations. The different datasets and evaluation metrics that are frequently used in image captioning models have also been discussed.
Detection of Spammer with Review Behaviors Based Scoring Method

It is now quite common for online user to write reviews on websites and these reviews are read by customer before deciding to purchase a product. Trustworthiness of reviews is now a challenging research problem. There is not many published study on this topic although web spam and email spam has been investigated extensively. Spammer detection techniques that define spam score based on review behaviors of the reviewer are presented in this paper. The experiment showed that the presented technique has comparatively effective spammer detection than other techniques.
Comparative Study of Distance Measurements in Texture Image Clustering

Image clustering is a crucial but challenging task in machine learning and computer vision. Existing distance measure methods for vectors are also essential and important in image clustering. The structure of the feature forms as the vectors and then different types of distance measures are applied in image clustering to get successful image groups for information management. To highlight the different type of distance measure methods, we propose to perform comparative analysis of distance measurements in image clustering. In this comparative study, Gray Level Co-occurrence Matrix (GLCM) Feature and K-means Clustering algorithms with different distance measure methods are used to compare the clustering results according to different distance measurements. The main output of proposed system is the number of image clusters. In experiment, clustering results are measured by means of clustering accuracy or purity and performed on the Brodatz texture images dataset to show the properties of different distance measurements for image clustering. Keyword: Image Clustering; GLCM feature; K-means clustering; distance measure methods, Brodatz texture image dataset;
Biocompatibility of a chitosan-derived hemostatic agent with human alveolar osteoblasts

Objective: To evaluate the biocompatibility of a Calcium Alginate/N,O-carboxymethylchitosan (CA/NOCC) hemostatic sponge with primary human alveolar osteoblasts (hAOBs). Materials and Methods: The primary hAOBs, isolated from alveolar bone chips, were cultured with or without the CA/NOCC sponge. Cell morphology was assessed by scanning electron microscopy, while cell proliferation was determined by MTT assay. The effects of the CA/NOCC sponge extract on osteoblastic phenotypes were evaluated with alkaline phosphatase activity and matrix mineralization assays. Results: Primary hAOBs, cultured with the CA/NOCC sponge, showed comparable cell morphology to the control cells with minimal cell attachments to the material surface. In addition, the proliferative ability of the cells was relatively unaltered. Moreover, the hAOBs cultured in the osteogenic CA/NOCC extract exhibited a comparable ALP activity level, while the extent of mineral deposition was slightly lower than the control. Conclusion: Our results indicated that the CA/NOCC hemostatic sponge is biocompatible to hAOBs and could potentially be a promising material for bleeding control in the jaw bone.
Retail Customer Churn Analysis using RFM Model and K-Means Clustering

In this current world of business, Customer Churn is one of the major concerns for various business owners or the organizations for maintaining existing and attracting new customers. Analysis of various types of customers can be conducted by researching customer relationship management which in turn provides strong support for business decisions. Customer churn occurs when certain customers are no longer loyal or a part of a particular business. Losing customers will not only result in losses but also develop threat to the organization. Because of multiple competitors in the same business, the re-engagement of customers who are less interested is essential rather than engaging a new one. It is observed that acquiring new buyers is costlier than retaining the present customer. Churn prediction is a new promising method in customer relationship management to analyze customer behavior by identifying customers with a high probability to discontinue the company based on analyzing their past data and also identify strategies for improvement. Once a customer becomes a churn, the loss incurred by the corporate isn't just the lost revenue but also the prices involved in additional marketing in order to attract new customer. Reducing customer churn is a key business goal. In this project, we've taken a dataset from UCI Machine Learning repository. This dataset contains records of transactions that happened between December 1, 2010 and December 1, 2011. This is recorded from a web retail gift store based in the United Kingdom. Here segmentation of customers has been done by using RFM technique and K-means algorithm. Keywords— Customer Churn, RFM model, K-Means Clustering, customer segmentation
'There can be no Partnership with the King': Regulatory Commitment and the Tortured Rise of England's East Indian Merchant Empire∗

The English East India Company helped build Britain's colonial empire, but the Company struggled for much of its early history due to a violotile regulatory environment. This paper argues that the Company's performance was hindered by instability and incapacity of English institutions as late as the mid eighteenth century. It gives a brief history of the torturous renegotiations over its monopoly trading privileges and the scal demands by the monarchy. It also analyzes the e ects of political instability, warfare, and scal capacity on the Company's investment in shipping tonnage. Regressions show the growth of shipping tonnage declined signi cantly when there were changes in government ministers, when Britain was at war in Europe and North America, and when shipping capacity exceeded central government tax revenues. The ndings point to the signi cance of regulatory institutions in Britain's development and its links with politics and war. They also provide a unique insight into how regulations and investment change as institutions evolve.
VALIDATION OF THE GEANT4 CODE IN THE EVALUATION OF ORGAN DOSE EQUIVALENTS IN A MIRD-5 PHANTOM

The evaluation of dose of ionizing radiation receiv ed by an individual or by particular organs may be o tained by the numerical simulation of particle transport t hrough mathematical models that represent the human body. Among these models are those developed by the Medic al Internal Radiation Dose Committee, MIRD, known a s “MIRD-5 Phantoms” or “Snyder-Fisher Phantoms”. Such phantoms, which represent human body organs by geometrical solids, are widely used in medicine app lications such as dose planning in therapeutic or d iagnostic treatment. The simulation techniques used, known as Monte Carlo methods, rely on codes that have been extensively validated such as MCNP and EGSnrc. Gean t4, a code developed at CERN by the high-energy physics community, has been recently used in radiat ion protection applications, where radiation energi es are usually much inferior to those found in particle ac celerators. Geant4 is an open source code, written in C++ for Unix, Linux or Windows platforms. The validation of Geant4 in the context of low energies is necessary once the code has already been largely validated in the applications for which it was initially designed. I n this work we build a MIRD-5 type phantom using objects availa ble to Geant4, obtain radiation doses to its organs when irradiated in a photon parallel plane field and val id te the results against those obtained by other a ccepted methods. Visualization tools (Open Inventor) and th e statistical analysis tool (AIDA) are also open so urce code, gathered in the OpenScientist package.
Sasquatch & Other Wildmen: The Search for Relict Hominoids

Editor’s Note: This presentation was delivered on the occasion of the bestowing of the 2016 Tim Dinsdale Award at the Meeting of the Society for Scientific Exploration, Boulder, Colorado, on June 20, 2016. The Society has presented the Dinsdale Award every two years since 1992, for significant contributions to the expansion of human understanding through the study of unexplained phenomena. Winners have led their fields in uncovering noteworthy anomalies. The Awards Committee has recognized Dr. Meldrum’s significant contribution to our understanding of the possible presence of an as-yet unrecognized primate in our midst. In the course of more than two decades, while recognizing the risk to his professional reputation, he has created a corpus of credible work by conscientiously applying his knowledge of primate evolutionary anatomy and behavior to this most difficult and controversial subject.
Research on the Impact of Supervisors’ and Colleagues’ Creative Support on Employees’ Innovative Behaviors Under the Interpersonal Trust Moderating Model

In recent years, as organizations focus on the competitiveness of innovation, the innovative behavior of employees has attracted more and more attention from managers. How to improve employees' innovative behavior is the key link to improve the core competitiveness of an enterprise, but it’s still relatively lack of current research. This paper reviews the conceptual connotation of supervisors’ and colleagues’ creativity support, interpersonal trust, and employees’ innovative behavior, then constructs a moderating model. The research results show that the supervisors’ and colleagues’ creativity support has a positive impact on employees’ innovative behavior. When the level of interpersonal trust raise, the influence of supervisors’ and colleagues' creativity support on employees' innovative behavior will increase. Finally, this article proposes ways and strategies to improve employees' innovative behavior.
Management Cockpits: Concept, Benefits and Challenges

Management cockpits for businesses allow to cumulate all available data in real-time for the strategically important information. They pre-process information and thus reduce the complexity of managing a business. Employing principles of cybernetics, the managers are immediately getting feedback to the decisions they have taken and can manage the business accordingly. Despite of the obvious potential of this approach, only few companies have introduced a management cockpit. This paper identifies the main benefits of such a concept as well as its general requirements in order to successfully introduce and use the management cockpit approach in a company. The inhibiting factors why management cockpits are not used more widely are researched and discussed. A solution approach of how to integrate management cockpits in businesses and companies