Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychological Determinants of Investor Motivation in Social Media-Based Crowdfunding Projects: A Systematic Review

Background: Using the power of Internet, crowdfunding platforms are currently changing the traditional landscape of fundraising. Social media-based IT platforms in particular are bringing the creators of crowdfunding projects closer than ever to potential investors. A large variety of factors function as determinants of individuals' intention to participate in crowdfunding and have an intertwined impact on funding as the ultimate project goal. Objectives: For a better understanding of investor behavior in social media-based crowdfunding projects, this paper covers identifying, analyzing, and classifying general and specific factors of investor motivation, based on the literature in the field.The main focus is the relationship between the affordances provided by social media-based crowdfunding platforms and the psychological determinants of investor motivation in innovative start-up projects. Methods: Using IEEE Explore, Clarivate Web of Science, ScienceDirect, and Scopus, we conducted a systematic review of the existing research on the emerging role of crowdfunding as a disruptive technology in financing the start-up innovative projects. The paper explores the main determinants of investor motivation and aims to streamline the success factors in crowdfunding campaigns. Results: A total of 1,216 publications were identified after searching the aforementioned databases and, upon refining the results, 515 articles were considered for the final sample. After reading the titles and abstracts, the sample was reduced to 78 articles that were read in-depth and synthesized in accordance with the defined research questions. The selected articles were clustered into three main categories: general studies, determinants of investor behavior, and success factors. Conclusions: In the new global economy, crowdfunding platforms have become the nexus between the emerging creators of innovative products and services and the necessary funding sources. This connection is possible via a cumulative collection of contributions from multiple investors recruited from the audience of the selected platform, without time or space constraints. However, the determinants of the investment decision are very different in the case of social media-based crowdfunding platforms compared to determinants in the mainstream environment. This paper surveys these motivators and reveals how platform features can be used to persuade individuals to make a financial contribution toward the success of a project.
The review of different data mining tools, techniques and algorithms for the data mining in education

Access of useful information is always important from the big dataset. This leads to extraction of useful results. Education is the field which requires the collection of educational raw data forproper processing to give important outcomes. This further helps in many decisions related to different areas in education. In this consideration, this paper details with the review information ofeducational data mining. The process and steps involved in it. It explores different methods, tools and techniques for educational data mining. This also gives idea about various algorithms forproper analyzing of the data in this mining process. Keywords: Algorithm, big dataset, Educational Data mining, Process, Techniques, Tools.
The development of a goodness-of-fit test for high level binary multilevel models

Abstract Before making inferences about a population using a fitted model, it is necessary to determine whether the fitted model describes the data well. A poorly fitted model may lead to biased and invalid conclusions, resulting in incorrect inferences. Recent studies show the necessity of goodness-of-fit tests for high level binary multilevel models. The focus here was to develop a goodness-of-fit test to use in the model adequacy testing of high level binary multilevel models and to examine, whether the type I error and power hold for the newly developed goodness-of-fit test considering a three-level random intercept model.
Measuring Output Gap: Is it Worth Your Time?

We apply a range of models to the U.K. data to obtain estimates of the output gap. A structural VAR with an appropriate identification strategy provides improved estimates of output gap with better real time properties and lower sensitivity to temporary shocks than the usual filtering techniques. It also produces smaller out-of-sample forecast errors for inflation. At the same time, however, our results suggest caution in basing policy decisions on output gap estimates.
Current challenges for epitope-agnostic TCR interaction prediction and a new perspective derived from image classification

The prediction of epitope recognition by T-cell receptors (TCRs) has seen many advancements in recent years, with several methods now available that can predict recognition for a specific set of epitopes. However, the generic case of evaluating all possible TCR-epitope pairs remains challenging, mainly due to the high diversity of the interacting sequences and the limited amount of currently available training data. In this work, we provide an overview of the current state of this unsolved problem. First, we examine appropriate validation strategies to accurately assess the generalization performance of generic TCR-epitope recognition models when applied to both known and novel epitopes. In addition, we present a novel feature representation approach which we call ImRex (interaction map recognition). This approach is based on the pairwise combination of physicochemical properties of the individual amino acids in the CDR3 and epitope sequences, which provides a convolutional neural network with the combined representation of both sequences. Lastly, we highlight various challenges that are particular to TCR-epitope data and that can adversely affect model performance. These include the issue of selecting negative data, the imbalanced epitope distribution of curated TCR-epitope datasets, and the potential exchangeability of TCR alpha and beta chains. Our results indicate that while extrapolation to novel epitopes remains a difficult challenge, ImRex makes this feasible for a subset of epitopes that are not too dissimilar from the training data. We show that appropriate feature engineering methods and rigorous benchmark standards are required to create and validate TCR-epitope predictive models.
Why a New Journal?

Welcome to the Journal of Wellness, an open access, peer-reviewed journal dedicated to the scholarly pursuit of wellness for all healthcare professionals. JWellness will publish research and editorials to enhance resilience, physical strength, nutritional completeness, disease prevention, and mental health. We will apply for indexing in the Directory of Open Access Journals after 20 publications, and PubMed after 50.
PENGARUH PENGHINDARAN PAJAK TERHADAP NILAI PERUSAHAAN DENGAN TRANSPARANSI INFORMASI SEBAGAI VARIABEL MODERATING (Perusahaan Manufaktur Sub Sektor (4) Aneka Industri yang terdaftar di Bursa Efek Indonesia tahun 2014-2018)

Penelitian ini bertujuan untuk menguji pengaruh penghindaran pajak terhadap nilai perusahaan serta menguji pengaruh transparansi informasi terhadap hubungan antara penghindaran pajak dengan nilai perusahaan. Variabel dependen dalam penelitian ini adalah nilai p erusahaan y ang diukur den gan Tobins’ Q. Variabel independen penelitian ini adalah penghindaan pajak yang diukur dengan Book Tax Difference (BTD). Variabel moderating dalam penelitian ini yaitu transparansi informasi yang diukur menggunakan pengungkapan sukarela (voluntary disclousure) yang mengacu pada Bapepam LK Nomor KEP-431/BL/2012 yang terdapat 31 indeks pengungkapan sukarela yang terbagi dalam 7 kategori. Penelitian ini juga menggunakan variabel kontrol yaitu profitabilitas, size dan leverage. Populasi dalam penelitian ini merupakan seluruh perusahaan manufaktur sektor aneka industri yang terdaftar di Bursa Efek Indonesia tahun 2014-2018. Metode sampling dalam penelitian ini adalah purposive sampling. Jumlah total sampel dalam penelitian ini adalah 65 perusahaan. Hasil analisis menunjukkan bahwa variabel independen yaitu penghindaran pajak tidak memiliki pengaruh terhadap variabel dependen yaitu nilai perusahaan. Begitu juga dengan variabel kontrol yaitu transparansi informasi tidak dapat memoderasi hubungan antara penghindaran pajak dengan nilai perusahaan. Kata kunci : Penghindaran pajak, nilai perusahaan, transparansi informasi, pengungkapan sukarela, profitabiitas, ukuran perusahaan dan leverage.
Ideal Relationship Between Pancasila and Indonesian Muslims

After successfully proclaiming the proclamation of independence, the Indonesian people made an agreement to ratify the Pancasila as the basis of the Indonesian nation. The Pancasila values were explored directly from the noble values possessed by the Indonesian people before Indonesian independence. This paper through library research concludes that the Pancasila historically underwent its dynamics since the Old Order government until the Reform Era, especially in its ideological process among plural Indonesian society. The ideology of Pancasila has been confronted with other ideologies, such as communist ideology and Islamic ideology which seeks to create an Indonesian nation in accordance with each ideology. Although the teachings of Islam are not contrast to the Pancasila, but the political movement of some Indonesian Muslims to establish an Islamic state or Khilafah in Indonesia clearly contradicts the spirit of Pancasila because Indonesia is a nation achieved by agreement of all Indonesian people with their various religions. Therefore, the Indonesian Muslims (as well as other non-Muslims) must prove their main role in maintaining the continuity of Pancasila and the unity of Indonesia with its Bhinneka Tunggal Ika. Besides, the Government leaders of Indonesia together with all Indonesian society must practice the holy values of Pancasila, maintain the unitary of the Indonesian nation, and realize a prosperous Indonesia based on the Pancasila.
Association of Human Leukocyte Antigen and Cytomegalovirus disease after Kidney Transplantation

Dear Editor, Cytomegalovirus (CMV) is the most important infectious cause of morbidity and mortality in transplantation. More and more patients are transplanted and because of the increasing immune-modulating agents, the risk for developing CMV disease in those patients is increasing. CMV is a DNA virus from human herpesviruses class. Human cytomegalovirus-human herpesvirus 5 belongs to order Herpesvirales, family Herpesviridae, subfamily Betaherpesvirinae, genus Cytomegalovirus, species Human herpesvirus [1]. There are three important mechanisms of CMV infection acquisition in patients with solid organ transplants [2,3]: primary infection (D+/R-), reactivation infection (D-/R+) and superinfection (D+/R+). a) Primary infection with CMV occurs in case of transplantation of a CMV negative recipient (R-) from a positive donor (D+). This D+/Rserologic mismatch is estimated to occur in 15% to 25% of all solid organ transplantation [4]. In the absence of antiviral prophylaxis, a D+/Rserologic mismatch will almost always result in the transmission of CMV to the susceptible transplant recipient where it can cause clinically severe primary CMV disease. Primary CMV infection may occur in Rwhen CMV is transmitted through blood transfusion from D+ or through natural transmission routes in community [5]; b) The CMV infection can reactivates in an CMV positive recipient during the periods of decreased immunity after kidney/ pancreas transplantation from a CMV negative Letter to the Editor
COMPARATIVE EVALUATION OF LAPAROSCOPIC TUBECTOMY BY ENDOCLIP APPLICATION VERSUS ELECTROCAUTERY IN BONNET MACAQUES (Macaca radiata)

Submitted in partial fulfilment of the requirement for the degree of MASTER OF VETERINARY SCIENCE (Veterinary Surgery and Radiology) 2014 Faculty of Veterinary and Animal Sciences Kerala Veterinary and Animal Sciences University DEPARTMENT OF VETERINARY SURGERY AND RADIOLOGY COLLEGE OF VETERINARY AND ANIMAL SCIENCES POOKODE, WAYANAD 673576 KERALA, INDIA
Cost-Effectiveness Analysis of Ceftazidime-Avibactam Versus Colistin-Meropenem in the Treatment of Infections Due to Carbapenem-Resistant Enterobacteriaceae in Colombia

Background: Ceftazidime-Avibactam (CAZ-AVI) may offer a significant advance over previously antimicrobials against carbapenem-resistant Enterobacteriaceae (CRE). We evaluate the cost-effectiveness of CAZ-AVI compared to colistin-meropenem (COL+MEM) in the treatment of CRE infections in ColombiaMethods: A decision tree model was developed from healthcare system perspective assuming a 30-day time horizon. Inputs were derived from a published observational study. The clinical course was simulated based on treatment response between 48-72 hours, and the duration of the treatment was 7-14 days. The clinical failure was assumed as the addition of an antibiotic. The model considered that combination therapy of COL+MEM was not superior to monotherapy to reflect real clinical behavior. Cost inputs were extracted from a published Colombian manual tariffs and official databases, expressed in 2019 dollars (USD). Utility values were from published literature. The sensitivity analyses were performed.Results: In the base case analysis, CAZ-AVI was associated with reduced mortality, length of hospital stay and fewer add-on antibiotics, resulting in an increase of 1.76 QALYs per patient versus COL+MEM. and incremental costs associated in CAZ-AVI were $2,521 higher per patient compared to COL+MEM ($755 versus $3,276). The incremental costs were partially increased due to the lower mortality rate observed with CAZ-AVI. The incremental cost-effectiveness ratio was estimated to be $3,317 per QALY. In the probabilistic sensitivity analysis, with a willingness to pay above $2,438, CAZ-AVI has a higher probability of being cost-effective.Discussion: CAZ-AVI demonstrates cost-effectiveness as a treatment for CRE infections by reducing the number of deaths and increasing QALYs.
Endoscopic surgery - anaesthetic challenges - A historical review

1. M.D., FFARCS, PGDHHM, Chairperson 2. M.D., Consultant 3. M.D., D.A. , Emeritus Consultant Dept. of Anaesthesiology, Pain and Perioperative Medicine Sir Ganga Ram Hospital, Old Rajinder Nagar, New Delhi-110 060, INDIA. Correspond to : Dr. Jayashree Sood 507, Adishwar Apartmentsm, 34, Ferozeshah Road New Delhi – 110 001 E-mail : jayashreesood@hotmail.com (Accepted for publication on 1 4 2006 ) HISTORICAL FORUM
Design of an autonomous standing frame prototype for older adults with motorized disability

This paper shows the mechanical design of a mechatronic system focused on providing assistance to older adults with motor disabilities. The main objective is to keep these people standing on their lower extremities, facilitating their mobility and at the same time providing greater support to their body structure. The mechanical design of the permanent station was developed using CAD (Computer Aided Drawing) software, including concept design, structural analysis and selection of mechanical actuators; elements designed for this mechatronic system. In addition, it shows the study to ensure ergonomics and safety for users using standards UNE-EN ISO 10535-2006, UNE-EN IEC 60601-1-2010 and EN 13480-2-2002 with the compliance of a structural safety factor through the software CAE (computer-assisted engineering), as well as the adaptability of the design of the system to the various anthropometric measures of the world demographic environment.
Variations in the Magnetic Properties of Meteoritic Cloudy Zone

Iron and stony‐iron meteorites form the Widmanstätten pattern during slow cooling. This pattern is composed of several microstructures whose length‐scale, composition and magnetic properties are dependent upon cooling rate. Here we focus on the cloudy zone: a region containing nanoscale tetrataenite islands with exceptional paleomagnetic recording properties. We present a systematic review of how cloudy zone properties vary with cooling rate and proximity to the adjacent tetrataenite rim. X‐ray photoemission electron microscopy is used to compare compositional and magnetization maps of the cloudy zone in the mesosiderites (slow cooling rates), the IAB iron meteorites and the pallasites (intermediate cooling rates), and the IVA iron meteorites (fast cooling rates). The proportions of magnetic phases within the cloudy zone are also characterized using Mössbauer spectroscopy. We present the first observations of the magnetic state of the cloudy zone in the mesosiderites, showing that, for such slow cooling rates, tetrataenite islands grow larger than the multidomain threshold, creating large‐scale regions of uniform magnetization across the cloudy zone that render it unsuitable for paleomagnetic analysis. For the most rapidly cooled IVA meteorites, the time available for Fe‐Ni ordering is insufficient to allow tetrataenite formation, again leading to behavior that is unsuitable for paleomagnetic analysis. The most reliable paleomagnetic remanence is recorded by meteorites with intermediate cooling rates ( ∼ 2–500 °C Myr −1 ) which produces islands that are “just right” in both size and degree of Fe‐Ni order.
The Effect of Chemisorption on the Chemical Evolution of Star-forming Regions

We have studied the production of simple molecules on interstellar dust grains involving strong bonding via chemisorption on a graphite surface. Two classes of chemical simulations were run: models under isothermal conditions at temperatures from 150 to 400 K at 25 K intervals, and warm-up models starting at 10 K. For the isothermal models, physisorption does not occur appreciably, whereas for the warm-up models, it dominates at the lower temperatures before thermal desorption becomes rapid. We have made several simple approximations to determine what role, if any, chemisorption can play in the surface chemistry that occurs at temperatures above which icy mantles no longer cover the surface of dust grains. Our major finding is that the importance of chemisorption is greatly dependent on the efficiency of adsorption. Models having the lowest adsorption barrier show maximum abundances of chemisorbed species. Species such as CO, which are very efficiently formed in the gas phase at almost all temperatures (10–400 K), will not be strongly impacted by the existence of chemisorbed species. However, chemisorbed CO can achieve a reasonably high abundance (∼10−6). Species such as C2H2 and NH3, which are less efficiently formed compared with CO in the gas phase, may show a change in their gas-phase abundance due to chemisorption. Several examples of this class of species can also show reasonably high abundances on grain surfaces due to chemisorption when the adsorption barrier is low.
The Relationships Among Peripheral myelin protein 22, Ghrelin, Cholecystokinin level and Severity of Diabetic Gastroparesis

Gastroparesis occurs in up to 30- 50% of patients with chronic complications of diabetes and is associated with significant impairments in both quality of life and diabetic control. The ethical clearance of this study had been approved by bioethics unit of Ivano-Frankivsk National Medical University. The severity of diabetic gastroparesis (DG) was assessed by Gastroparesis Cardinal Symptom Index (GCSI) questionnaire and Gastric emptying rate (GER) with 13 C-octanoic breath test ( 13 C-OBT). Level of peripheral myelin protein 22 (PMP 22), ghrelin, cholecystokinin (CCK), were assayed by ELISA. The relationships was analysis by correlation-spearman rho test, p<0,05. According to the questionnaire results, physical examination data as well as additional laboratory and instrumental investigations, mild DG was found in 16.7% patients with type 1 diabetes, moderate DG was observed in 15.5% patients and the signs of severe gastroparesis were present in 8.9% patients only. There was very strong correlation among PMP 22 , ghrelin, CCK level and the severity gastroparesis in patients with type 1 diabetes .
Vibroacoustic treatment for chronic pain and mood disorders in a specialized healthcare setting

Much of what we know about vibroacoustic treatment and its efficacy has been published in case reports. Recent clinical trials have increased awareness and understanding of this treatment for people with Parkinson’s disease or Fibromyalgia Syndrome. There are no standardized protocols for using vibroacoustic treatment although research has focused on using 40Hz. The rehabilitation unit of [blinded] Central Hospital in [blinded] has used vibroacoustic treatment for more than two decades as part of specialized healthcare in the [blinded] healthcare district. Patient responses have been recorded using Visual Analog Scales showing positive outcomes on several measures including pain and mood. This paper describes vibroacoustic treatment used within this unit, focusing on pain and mood outcomes reported in subjective patient evaluations and comments.
Foreign offenders in prison and on probation in Europe: Trends from 2005 to 2015 (inmates) and situation in 2015 (inmates and probationers)

Is there really an over-representation of foreign citizens in European prisons? Is the presence of foreign inmates comparable across regions and countries of Europe? How can one explain the differences in the trends shown by the absolute numbers and the percentages of foreign inmates from 2005 to 2015? Do foreign citizens have less access than nationals to alternatives to imprisonment? Do the data available allow the research to establish whether the growth in the use of community sanctions and measures since the 1990s plays a role in the fluctuations observed in the percentage of foreign inmates? The answers to these and many other questions can be found in this book, which compiles and updates a series of specific indicators collected during eleven years through the Council of Europe Annual Penal Statistics (better known as the SPACE statistics), and accompanies the two volumes on Prisons in Europe 2005-2015 published in this collection. The volume includes maps and tables illustrating the state of prison (2005-2015) and probation agencies (2009-2015). In addition, the situation is analyzed through individual country profiles, which include key facts and graphs covering the years 2005 to 2015.
Three Closed-Loop Feedback Control System with Dual Disturbance Observers of an Optoelectronic Stable Control Platform

Disturbances presented in aeronautical imaging equipment can cause visual axis jitter, which directly leads to a reduction in closed-loop bandwidth and a decrease in tracking accuracy. The disturbance frequency affecting the stable control platform is mainly concentrated in the low- and middle-frequency bands, but the commonly used three closed-loop feedback control methods do not perform well in the disturbance rejection of those frequency bands. Moreover, the only disturbance observer in the acceleration loop cannot improve the low-band disturbance rejection capability due to the drift of the micro-electro-mechanical-system (MEMS) accelerometers in the low-frequency range. To solve these problems, this paper proposed dual disturbance observers (dual DOB) based on the disturbance information in the acceleration loop and the position loop. This design used two compensators to observe and compensate for the disturbances, which did not require additional sensors, and therefore did not increase system cost. Theoretical demonstrations and physical experiments showed that the designed method of the dual DOB not only improved the disturbance rejection capability of the low- and middle-frequency band of the optoelectronic stable control platform, but also improved the robustness of the system.