Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Social Media Attention and Sentiment on Initial Public Offering Returns

Going public is a monumental step for many companies. Not only does it increase a company's legitimacy in the business community, but it also gives opportunities for them to harness significant amounts of investment capital. However, entrepreneurs and investors often face uncertainty due to the unpredictable nature of initial public offerings (IPOs). This study evaluated the impact of the amount and sentiment of Twitter activity on stock returns using data from domestic companies who went public from June 1, 2020 - May 31, 2021. Overall market behavior, company size, and community population demographics and social economic status of the companies' headquarters locations were controlled. The analyses showed that Twitter activity is associated with higher returns during relatively long-term time frames. The results are relevant for companies and potential IPO investors to predict and maximize their profits in the market. They also open opportunities for future research to investigate more in-depth regarding social factors in relation to IPOs.
Surge Response Analysis of the Serbuoys-TLP Tension Leg Platform under the Action of Wave–Current Coupling

A new type of tension leg platform (TLP) connected to a series of buoys (Serbuoys-TLP) has been proven to effectively suppress the surge response of the platform during wave conditions. However, in the complex marine environment, it is more relevant to study its motion response to the action of waves and currents. Considering the tension tendon as a lumped mass model, a DUTMST 2.0 time-domain simulation program was written, based on MATLAB, which can accurately calculate the surge response of the Serbuoys-TLP under wave–current coupling conditions. The suppression efficiency of the Serbuoys-TLP on the surge response was analyzed under different current velocities and wave parameters, and the results showed that the suppression efficiency by the Serbuoys-TLP of surges was higher under the action of waves and currents compared with the action of waves. In addition, the surge response of the platform under the two conditions of wave–current combination and wave–current coupling was also investigated, where wave–current coupling considers the effect of the current’s velocity on the wave period, while the wave–current combination does not consider it, which means that the wave and current are linearly superimposed. The results show that the surge response of the platform will be overestimated without considering the coupling effect of waves and currents. The effect of wave–current coupling has a greater impact on the surge response of the Serbuoys-TLP than that of conventional TLP. Therefore, in the design of new floating structures, the motion performance in response to the effect of wave–current coupling should be paid full attention.
A Study on the Application of GIS and Machine Learning to Predict Flood Areas in Nigeria

Floods are one of the most devastating forces in nature. Several approaches for identifying flood-prone locations have been developed to reduce the overall harmful impacts on humans and the environment. However, due to the increased frequency of flooding and related disasters, coupled with the continuous changes in natural and social-economic conditions, it has become vital to predict areas with the highest probability of flooding to ensure effective measures to mitigate impending disasters. This study predicted the flood susceptible areas in Nigeria based on historical flood records from 1985~2020 and various conditioning factors. To evaluate the link between flood incidence and the fifteen (15) explanatory variables, which include climatic, topographic, land use and proximity information, the artificial neural network (ANN) and logistic regression (LR) models were trained and tested to develop a flood susceptibility map. The receiver operating characteristic curve (ROC) and area under the curve (AUC) were used to evaluate both model accuracies. The results show that both techniques can model and predict flood-prone areas. However, the ANN model produced a higher performance and prediction rate than the LR model, 76.4% and 62.5%, respectively. In addition, both models highlighted that those areas with the highest susceptibility to flood are the low-lying regions in the southern extremities and around water areas. From the study, we can establish that machine learning techniques can effectively map and predict flood-prone areas and serve as a tool for developing flood mitigation policies and plans.
Larger foraminiferal biostratigraphy of the upper Cretaceous (Campanian) to Paleogene (Lutetian) sedimentary rocks in the Haymana and Black Sea regions, Turkey

Larger foraminifera of the late Cretaceous (late Campanian) to middle Eocene (Lutetian) are recognized in the upper Cretaceous to Paleogene sedimentary rocks in the Haymana and Black Sea regions, Turkey. 114 diagnostic larger and benthonic foraminiferal species belonging to 66 genera including one new genus Chaldagia are identified, and 89 diagnostic species are documented as local ranges. Biostratigraphically useful 11 larger foraminiferal assemblage zones are described, and are correlated with two larger foraminiferal assemblage zones, NE India and Philippines in the Tethys region. Chaldagia haymanensis, n. gen., n. sp. and Scandonea samnitica De Castro are systematically described. Associated 52 planktonic foraminiferal species belonging to 23 genera are identified, and 90 larger and benthonic foraminifera and 40 planktonic foraminifera are illustrated. Some element concentrations of the Cretaceous-Tertiary (K-T) boundary layers (28-37 cm thick with goethite layers) were found in the MedetlÃ section, GÃ¶rpazari, Black Sea region by the authorâ€™s research group. In there, Ir concentration was low and slightly elevated (0.24 ppb) in a sample of goethite layers, and foraminiferal taxa didnâ€™t yield. The K-T Ir layers are well correlated with those in the Meghalaya, NE India. Sr isotope values (87 Sr/86 Sr, 0.707885 â€“ 0.707819) in the K-T boundary layers in the Devrekani section, Kastamonu, Black Sea region agreed well with those in the K-T boundary regions of the world by the authorâ€™s research group.
Anthropometric Parameters of Children with Congenital Zika Virus Exposure in the First Three Years of Life

Little is known about the impact of congenital Zika virus (ZIKV) exposure on growth in the first years of life. In this prospective cohort study,201 ZIKV antenatally-exposed children were followed at a tertiary referral center in Rio de Janeiro, Brazil. Eighty-seven were classified as congenital Zika syndrome (CZS) patients and 114 as not congenital Zika syndrome (NCZS); growth parameters were described and compared between groups and with WHO standard growth curves. Thirty-four (39%) newborns with CZS and seven (6%) NCZS were small for gestational age (p < 0.001). NCZS mean weight measures ranged from −0.45 ± 0.1 to 0.27 ± 0.2 standard deviations (SD) from the WHO growth curve median during follow-up, versus −1.84 ± 0.2 to −2.15 ± 0.2 SD for the CZS group (p < 0.001). Length mean z-scores varied from −0.3 ± 0.1 at 1 month to 0.17 ± 0.2 SD between 31 and 36 months in the NCZS group, versus −2.3 ± 0.3 to −2.0 ± 0.17 SD in the CZS group (p < 0.001). Weight/height (W/H) and BMI z-scores reached -1.45 ± 0.2 SD in CZS patients between 31 and 36 months, versus 0.23 ± 0.2 SD in the NCZS group (p < 0.01). Between 25 and 36 months of age, more than 50% of the 70 evaluated CZS children were below weight and height limits; 36 (37.1%) were below the W/H cut-off. Gastrostomy was performed in 23 (26%) children with CZS. During the first three years of life, CZS patients had severe and early growth deficits, while growth of NCZS children was normal by WHO standards.
Analysis of Multiclass Pesticide Residues in Tobacco by Gas Chromatography Quadrupole Time-of-Flight Mass Spectrometry Combined with Mini Solid-Phase Extraction

A screening method using gas chromatography quadrupole time-of-flight mass spectrometry (GC-QTOF/MS) combined with mini solid-phase extraction (mini-SPE) was established for the quantification and validation of multiclass pesticide residues in tobacco. The method was quicker and easier, with sample purity higher than that obtained by traditional SPE and dispersed-SPE. Box-Behnken design, an experimental design for response-surface methodology, was used to optimize the variables affecting the target pesticide recovery. Under the optimized conditions, 92% of the pesticides showed satisfactory recoveries of 70%–120% with precision <20% at spiking levels of 50, 250, and 500 ng/g. The limits of detection and quantification for all the analyses were 0.05–29.9 ng/g and 0.20–98.8 ng/g, respectively. In addition, a screening method based on the retention time and a homebuilt high-resolution mass spectrometry database were established. Under the proposed screening parameters and at spiking levels of 50, 100, and 500 ng/g, 76.6%, 94.7%, and 99.0% multiclass pesticide residues were detected, respectively, using the workflow software. The validated method was successfully applied to the analysis of real tobacco samples. Thus, the combination of mini-SPE and GC-QTOF/MS serves as a suitable method for the quantitative analysis and rapid screening of multiclass pesticide residues in tobacco.
Jaw plate kinematical analysis for single toggle jaw crusher design

Jaw crusher is a kind of size reduction machine which is widely used in the mining and aggregates industry. The interaction between jaw plates and material particles brings the inevitable and serious wear to the jaw plates during the jaw crusher operation, which not only decreases the efficiency, but also increases the cost and the energy consumption of the jaw crusher. The movement of the moving jaw is described in detail. The breakage force is tested in the experiment and some information on the particles flow is gained by analyzing the force distribution. Based on the movement analysis of the moving jaw and the crushing force distribution analysis, the jaw plates wear is analyzed on a macroscopic level. The result of the wear analysis can explain some of the phenomenon in practice. With the rock material breakage character taken into consideration, the blindness brought by the traditional empirical designing can be greatly decreased. It is helpful to design the crusher for improved performance.
Identification and Validation of Toxoplasma gondii Mitoribosomal Large Subunit Components

Mitochondrial ribosomes are fundamental to mitochondrial function, and thus survival, of nearly all eukaryotes. Despite their common ancestry, mitoribosomes have evolved divergent features in different eukaryotic lineages. In apicomplexans, the mitochondrial rRNA is extremely fragmented raising questions about its evolution, protein composition and structure. Apicomplexan mitochondrial translation and the mitoribosomes are essential in all parasites and life stages studied, highlighting mitoribosomes as a promising target for drugs. Still, the apicomplexan mitoribosome is understudied, with one of the obstacles being that its composition is unknown. Here, to facilitate the study of apicomplexan mitoribosomes, we identified and validated components of the mitoribosomal large subunit in the model apicomplexan Toxoplasma gondii.
Pedagogical Practices for Organizing Simulation-Based Healthcare Education

Despite the positive findings on the results of simulation-based health-care education, what truly makes it successful remains unclear. We do not know enough about when and how the simulation-based learning environment (SBLE) should be applied. Thus, the specific aim of this thematic-review study was to determine what the facilitators’ peda-gogical activities are in the simulation-based education process. For this purpose, the study reviewed 83 previous studies in which the ped-agogical practices were explained or examined. Based on the literature review, the pedagogical practices have been clearly linked to facilita-tors’ activities before, during, or after simulation. Most of the research has focused on facilitators’ activities during simulation-based educa-tion, especially during the debriefing phase. Some studies have exam-ined pre-simulation activities, but the research concentrating on facili-tators’ post-simulation activities is limited. All in all, this thematic lit-erature review provided insights on the successful pedagogical prac-tices for implementing the simulation-based health-care education process. To further develop simulation-based health-care education and to optimize the use of such a learning environment, scholars should describe facilitators’ and learners’ activities more accurately; and they should use more rigorous research methods to analyze the teaching and the learning activities. Furthermore, such knowledge should be synthesized and used to develop pedagogical models and methods for simulation-based healthcare education and to integrate them into various learning contexts.
MODELING OF CEILING FAN BASED ON VELOCITY MEASUREMENT FOR CFD SIMULATION

This study examines the way of utilizing a ceiling fan for airflow control in a large air-conditioned room. Although it seems that CFD simulation is useful in predicting the airflow around a ceiling fan, modeling of a ceiling fan as a body of rotation is very complicated. Therefore, in this study, airflow of a ceiling fan is modeled as boundary conditions of air velocity data measured near the ceiling fan. In this paper, the measured airflow pattern around a ceiling fan is compared with the CFD simulation result using the airflow model of the ceiling fan, in order to examine the validity of the airflow model. The CFD result was in good agreement with the measurement result concerning the average of air velocity.
Development of Statistical Models to Predict the Compressive Strength of Concrete Produced Using Quarry Dust as Partial Replacement for Fine Aggregate

Concrete is an assemblage of Cement, aggregates and water. The most frequently used fine aggregate for concrete production is sand sourced from river banks. The continuous use of this river sand as a result of rapid infrastructural development has resulted in its scarcity and often high cost. This paper examines the suitability of using quarry dust (QD) as partial replacement for fine aggregate in concrete production. Preliminary test (specific gravity) was conducted on the aggregates to determine their suitability for concrete production. Concrete with 5, 10, 15, 20 and 25% QD – Fine aggregate content was cast with a mix ratio of 1:2:4. The freshly prepared Quarry Dust Concrete (QDC) was cast in moulds measuring 150 x 150 x 150mm and cured using ponding method. The Compressive strength result shows that replacement of fine aggregate with QD leads to a general increase in compressive strength of concrete. Statistical package for the Social Sciences (SPSS) version 21 was utilised to develop the linear regression models for the 7 and 28 days compressive strength of the QDC. The developed models were found to be sufficient in predicting the 7 and 28 days compressive strengths with R2 values of 98.9% and 95.2 % respectively.
A Vaccine Construction against COVID-19-Associated Mucormycosis Contrived with Immunoinformatics-Based Scavenging of Potential Mucoralean Epitopes

Mucormycosis is a group of infections, caused by multiple fungal species, which affect many human organs and is lethal in immunocompromised patients. During the COVID-19 pandemic, the current wave of mucormycosis is a challenge to medical professionals as its effects are multiplied because of the severity of COVID-19 infection. The variant of concern, Omicron, has been linked to fatal mucormycosis infections in the US and Asia. Consequently, current postdiagnostic treatments of mucormycosis have been rendered unsatisfactory. In this hour of need, a preinfection cure is needed that may prevent lethal infections in immunocompromised individuals. This study proposes a potential vaccine construct targeting mucor and rhizopus species responsible for mucormycosis infections, providing immunoprotection to immunocompromised patients. The vaccine construct, with an antigenicity score of 0.75 covering, on average, 92–98% of the world population, was designed using an immunoinformatics approach. Molecular interactions with major histocompatibility complex-1 (MHC-I), Toll-like receptors-2 (TLR2), and glucose-regulated protein 78 (GRP78), with scores of −896.0, −948.4, and −925.0, respectively, demonstrated its potential to bind with the human immune receptors. It elicited a strong predicted innate and adaptive immune response in the form of helper T (Th) cells, cytotoxic T (TC) cells, B cells, natural killer (NK) cells, and macrophages. The vaccine cloned in the pBR322 vector showed positive amplification, further solidifying its stability and potential. The proposed construct holds a promising approach as the first step towards an antimucormycosis vaccine and may contribute to minimizing postdiagnostic burdens and failures.
Time for Revival of Bone Biopsy with Histomorphometric Analysis in Chronic Kidney Disease (CKD): Moving from Skepticism to Pragmatism

Bone Biopsy (BB) with histomorphometric analysis still represents the gold standard for the diagnosis and classification of different forms of renal osteodystrophy. Bone biopsy is the only technique able to provide comprehensive information on all bone parameters, measuring static and dynamic parameters of turnover, cortical and trabecular microarchitecture, and mineralization defects. In nephrological practice, bone biopsy yields relevant indications to support therapeutic choices in CKD, heavily impacting the management and prognosis of uremic patients. Unfortunately, the use of bone biopsy has decreased; a lack of expertise in performing and interpreting, perceived procedure invasiveness and pain, and reimbursement issues have all contributed to this decline. Nevertheless, both bone biomarkers and instrumental images cannot be considered reliable surrogates for histological findings, being insufficiently accurate to properly evaluate underlying mineral and bone disorders. This is a multidisciplinary position paper from the Nephrology and Osteoporosis Italian Scientific Societies with the purpose of restating the role of bone biopsy in CKD patient management and of providing strong solutions to allow diffusion of this technique in Italy, but potentially also in other countries. The Italian approach through the optimization and standardization of bone biopsy procedure, the construction of the Italian Hub and Spoke network, and a request for adjustment and national homogenization of reimbursement to the Italian Health Ministry has led the way to implement bone biopsy and to improve CKD patient management and prognosis.
Adding Value by FM: an exploration of management practice in the Netherlands and Denmark

The last decade shows a growing attention into the concept of added value of Facilities Management and Corporate Real Estate Management and how to attain and measure added value. A variety of different types of added value came to the fore such as user value, customer value, financial value, environmental value and relationship value. Furthermore a huge variety of different definitions can be found in publications from different authors, partly depending on their disciplinary background and partly because some authors do not build on former research. In discussions with researchers and practitioners, the concept of added value is definitely recognized. However, people have many different topics in mind. In a workshop at EFMC 2013 all attendants used different terms and mentioned only a few concrete measures how to add value, mostly in rather abstract terms. Further research is needed to harmonize the concept of added value i.e. definitions, dimensions and types, and to be able to operationalize this concept into practical guidelines for implementation and measurement by Key Performance Indicators. This paper relates theoretical reflections on the added value of FM to the findings of ten interviews with practitioners from the Netherlands and Denmark. It aims to explore how practitioners cope with terms and definitions, which concrete FM measures are applied to add value, what value, and if/how managers measure whether the aimed added values have been attained. The paper ends with some reflections and suggestions for follow-up research, both from a theoretical and practical perspective.
Finanzsystem und Komplementarität

Being able to identify the essential features of financial systems is an important precondition to carrying out any sound assessment of whether the financial systems of different countries are truly different, have become more similar in recent years, or are likely to converge in the future. For this purpose, it is necessary to recognise that financial systems are indeed systems and must be discussed as such, but without lapsing into scientifically meaningless Systemgeschwafel (or systems waffle, as D. Schneider has called it). We have found the concept of complementarity to be very helpful in this respect. Two elements of a given system are considered complementary if there is potential for a higher value of one element to increase the marginal value contribution of the other element. If this potential is fully exploited, a system is called coherent. An important implication of this concept is that there can be more tha n one coherent system comprising the same set of complementary elements, but with clearly distinct values of these elements. After presenting the concepts of complementarity and coherence, and the specific indicators used to quantify them, the paper moves on to apply these concepts by analysing real-world financial systems. For the specific purposes of this paper, financial systems are construed as consisting of three subsystems. They are: enterprise financing, including relevant aspects of the financial sector; corporate governance; and corporate strategy. The paper demonstrates that, in financial systems in general, each of the three subsystems is composed of complementary elements, and that in the German, the Japanese, the British and the US financial systems, the subsystems are largely coherent. It is then shown that the three subsystems are also complementary to one another and, in the case of the four countries in question, that they also form coherent overall systems. The paper concludes by demonstrating that the concept of complementarity has far-reaching implications for all efforts to shape, and possibly improve, the structure of financial systems, and even more important implications for how financial systems function. If complementarity is strong, there is a real possibility that the convergence of real-world financial systems, which many practitioners and scholars currently believe will take place, is a convergence towards an inefficient system.