Miracle-dz/UniFAR-FTUs huggingface dataset:
A D EEP L EARNING M ODEL TO P REDICT C ONGRESSIONAL R OLL C ALL V OTES FROM L EGISLATIVE T EXTS

Developments in natural language processing (NLP) techniques, convolutional neural networks (CNNs), and long-short-term memory networks (LSTMs) allow for a state-of-the-art automated system capable of predicting the status (pass/fail) of congressional roll call votes. The paper introduces a custom hybrid model labeled "Predict Text Classification Network" (PTCN), which inputs legislation and outputs a prediction of the document's classification (pass/fail). The convolutional layers and the LSTM layers automatically recognize features from the input data's latent space. The PTCN's custom architecture provides elements enabling adaptation to the input's variance from adjustment to the kernel weights over time. On the document level, the model reported an average evaluation of 67.32% using 10-fold cross-validation. The results suggest that the model can recognize congressional voting behaviors from the associated legislation's language. Overall, the PTCN provides a solution with competitive performance to related systems targeting congressional roll call votes.
Vocational Students’ Ways of Handling the Academic/Vocational Divide

Purpose: The focus of this article is on Swedish vocational students’ own thoughts about different types of knowledge and how these thoughts relate to the forming of their vocational identities. The article reports on a study which investigates how vocational students handle the division between theoretical and practical knowledge as they learn to become skilled industrial workers. Theoretical and practical knowledge are often presented as dichotomies in a hierarchy, where theoretical knowledge is more highly valued than practical knowledge. The division between theoretical and practical knowledge is known in research as "the academic/vocational divide". This divide is particularly relevant to vocational students, as they need to deal with both types of knowledge as they navigate between the contexts of school and work.Methods: This study is part of a research project on vocational students’ learning and identity formation. The empirical material is based on qualitative interviews with 44 students enrolled on the industrial programme at Swedish upper secondary schools.Findings: The study revealed three different ways in which vocational students handled the academic/vocational divide: Placing higher value on practical knowledge than on theoretical knowledge, reinforcing the separation between school and work, and selecting theoretical subjects as useful tools for the future. Conclusions: Two conclusions drawn from the study are that students are aware of the status differences and divisions between practical and theoretical knowledge, and that they handle the academic/vocational divide in an active manner. Students make choices that will help them form a vocational identity or that will give them opportunities for further education and alternative careers. This article challenges and contradicts the image of vocational students as unmotivated and unintellectual, instead portraying them as knowledgeable actors who make strategic choices for their future and are active in forming vocational identities within vocations that require deep and advanced knowledge.
A Successful Healthy Childbirth After Late Rescue Intracytoplasmic Sperm Injection Of Unfertilized Oocytes In Conventional In Vitro Fertilization

The incidence of unexpected total fertilization failure in a conventional in vitro fertilization (IVF) cycle ranges from 5% to 20%. One strategy to avoid cycle cancellation is the re-injection of unfertilized oocytes by the so-called “rescue” intracytoplasmic sperm injection (ICSI). This paper aims to report the validity of performing a rescue ICSI after a total fertilization failure in IVF. On May 2017 a 39-year-old woman presented to our Center. After standard controlled ovarian stimulation, four oocytes were retrieved and inseminated by conventional IVF. No oocytes were fertilized 18 hours after insemination. After 3 hours a rescue ICSI was performed and after 18 hours three oocytes had extruded the second polar body and showed two pronuclei. Twenty-four hours later three embryos were developed and transferred to the uterus. A single, uneventful, full-term pregnancy resulted in the delivery of a healthy girl. In conclusion, hereby we described a healthy childbirth after the transfer of embryos derived from 1-day-old oocytes of a 39-year-old woman. Although the success of the rescue ICSI is still a matter of debate, this case is a further successful pregnancy that proves the validity of the procedure as worth an attempt to give the best chance to the couple in that cycle, without necessarily modify the routine procedures of the laboratory.
Immune Reconstitution after Haploidentical Donor and Umbilical Cord Blood Allogeneic Hematopoietic Cell Transplantation

Allogeneic hematopoietic cell transplantation (HCT) is the only potentially curative therapy for a variety of hematologic diseases. However, this therapeutic platform is limited by an initial period when patients are profoundly immunocompromised. There is gradual immune recovery over time, that varies by transplant platform. Here, we review immune reconstitution after allogeneic HCT with a specific focus on two alternative donor platforms that have dramatically improved access to allogeneic HCT for patients who lack an HLA-matched related or unrelated donor: haploidentical and umbilical cord blood HCT. Despite challenges, interventions are available to mitigate the risks during the immunocompromised period including antimicrobial prophylaxis, modified immune suppression strategies, graft manipulation, and emerging adoptive cell therapies. Such interventions can improve the potential for long-term overall survival after allogeneic HCT.
DETERMINATION OF THE QUALITY AND SHELF LIFE OF SOUS VIDE PACKAGED WHITING (MERLANGIUS MERLANGUS EUXINUS, NORDMAN, 1840) STORED AT COLD (4C) AND TEMPERATURE ABUSE (12C)

The effect of storage temperature on the shelf life of sous vide packaged (70C, 10 min) whiting was determined. Samples stored at 12 ± 1C spoiled according to sensory test on the 21st day, when mesophilic aerobic bacteria and trimethylamine nitrogen (TMA-N) exceeded the limits. However, their consumption is not advisable after 15 days because psychrophilic counts exceeded the recommended limits at that day. In cold storage (4 ± 1C) Total volatile basic nitrogen and TMA-N, values of the samples exceeded the limits on the 42nd day. However, because samples spoiled according to sensory test, and mesophilic and psychrophilic aerobic bacterial counts were above the limits, shelf life was considered as 35 days. Sous vide cooking at 70C for 10 min could extend significantly the shelf life of whiting both at 4C and temperature-abuse conditions (12C). PRACTICAL APPLICATIONS Sous vide is a long established but relatively little-known cooking process. The data regarding the effect of storage temperature on the shelf life and quality of sous vide fish are very limited. Therefore, this study aimed to determine the sensory, microbiological and chemical quality of sous vide packaged whiting during refrigerated storage (4 ± 1C) and temperature-abuse temperature conditions (12 ± 1C). The results of this study can be utilized by researchers in future studies as well as by manufacturers to determine the processing and storage conditions of sous vide fish.
Beraprost as initial pharmacologic treatment for pulmonary hypertension related to left to right shunt congenital heart disease.

Pulmonary arterial hypertension is a common complication of uncorrected left-to-right shunt congenital heart disease. Beraprost have been used widely to treat pulmonary arterial hypertension in adult. However, the efficacy of the drug in Indonesian children has not been investigated. This study aim is to evaluate the efficacy of Beraprost in treating pulmonary arterial hypertension related to left-to-right shunt congenital heart disease. A randomized control trial was used in this study between April to September 2017 in Cardiology outpatient clinic of Dr. Soetomo General Hospital. Subjects aged 2-12 years with pulmonary arterial hypertension randomly received Beraprost 0.35 mcg/kg eight hourly for 12 weeks. Efficacy was evaluated by echocardiography and adverse effect was monitored. Data were analysed by statistical software using t-test and Mann Whitney test with significance level set to 0.05. All procedures were approved by hospital ethics committee and registered at the ClinicalTrials.gov. Twenty two children were recruited into the study. Resolution of Beraprost in decreasing pulmonary arterial pressure was -21.32 ± 11.06 mmHg (p=0.034). Adverse effects reported were headache. As conclusion, Beraprost is effective and safe as initial pharmacologic treatment in treating pulmonary arterial hypertension related to left to right shunt congenital heart disease.
Leishmanicidal effects of resveratrol and its derivatives: a systematic review and meta-Analysis

Background Leishmaniasis is one of the most important health problems worldwide. The evidence has suggested that resveratrol and its derivatives have anti-leishmanial effects; however, the results are inconsistent and inconclusive. The aim of this study was to assess the effect of resveratrol and its derivatives on the Leishmania viability through a systematic review and meta-analysis of available relevant studies. Methods The electronic databases PubMed, ScienceDirect, Embase, Web of Science and Scopus were queried between October 2000 and April 2020 using a comprehensive search strategy. The eligible articles selected and data extraction conducted by two reviewers. Mean differences of IC50 (concentration leading to reduction of 50% of Leishmania) for each outcome was calculated using random-effects models. Sensitivity analyses and prespecified subgroup were conducted to evaluate potential heterogeneity and the stability of the pooled results. Publication bias was evaluated using the Egger’s and Begg’s tests. We also followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines for this review. Results Ten studies were included in the meta-analysis. We observed that RSV and its derivatives had significant reducing effects on Leishmania viability in promastigote [24.02 µg/ml; (95% CI 17.1, 30.8); P < 0.05; I2 = 99.8%; P heterogeneity = 0.00] and amastigote [18.3 µg/ml; (95% CI 13.5, 23.2); P < 0.05; I2 = 99.6%; P heterogeneity = 0.00] stages of Leishmania. A significant publication bias was observed in the meta-analysis. Sensitivity analyses showed a similar effect size while reducing the heterogeneity. Subgroup analysis indicated that the pooled effects of leishmanicidal of resveratrol and its derivatives were affected by type of stilbenes and Leishmania species. Conclusions Our findings clearly suggest that the strategies for the treatment of leishmaniasis should be focused on natural products such as RSV and its derivatives. Further study is needed to identify the mechanisms mediating this protective effects of RSV and its derivatives in leishmaniasis.
Shareholders’ Preference and Dividend Policy: An Empirical Analysis of Listed Industrial Goods Companies in Nigeria

Corporations pay various types of dividend understanding that shareholders belong to a particular group or clientele and prefer a particular policy that suits their purpose. This study investigates cash and stock dividend preferences on dividend per share of listed industrial goods companies in Nigeria using mixed-method research. Sample data were extracted from the Nigerian Stock Exchange (NSC) for a period of twelve years from 2007 to 2018 and a survey research design was adopted for data relating to shareholders' dividend preference as responses were sought from shareholders through questionnaire means. OLS regression analysis was adopted to estimate the two constructs. The result supports bird in the hand theory as a cash dividend, Leverage, and size has a positive significant effect on dividend per share. However, capital gained has negative insignificant, and return on equity has a positive insignificant effect on dividend policy of listed industrial goods companies in Nigeria. This study suggests that cash dividend should be given more priority as a way of boosting the shareholders’ confidence. Also, reasonable outside funds should be maintained to enable diversification as this can boost the profitability of the firms as well as the cash returns to shareholders. These results provide empirical justification for the current economic meltdown in Nigeria as most shareholders' bought sock at high rates which is currently selling at a lower price. To get value on such stock, shareholders will prefer cash dividend because cash dividend is the only way they can get cash from their investment without having to sell off their stocks.
Study of the Effect of Temperature on Water Permeation Through Carbon Nanotubes Subjected to an Induced Pressure Gradient: A Molecular Dynamics Simulation

Molecular Dynamics simulations were carried out using GROMACS to study the temperature and diameter dependency of water transport through carbon nanotubes in equilibrium state and non- equilibrium state simulations. In equilibrium state simulations, the water flow has shown a linear dependency on the temperature for nanotubes. The carbon nanotube of diameter 8.1 A may be considered as critical diameter value below which the water flow through the nanotube did not indicate a clear relationship with temperature. In non-equilibrium state simulations the nanotubes were considered as biological water channels that transport water under osmotic pressure difference. An artificial osmotic pressure difference was successfully implemented to mimic the physiological behavior of biological water channels. The osmotic permeability and hydraulic permeability have shown approximately linear dependence on the temperature for the given diameter values of nanotubes within the temperature range of 280 K and 360 K.
Metadata of the chapter that will be visualized in SpringerLink

The potential value of adaptive hypermedia and game based learning to education and training has long been recognised, numerous studies have been undertaken in both those areas investigating its potential to improve learner performance. In particular research has indicated that tailoring content to match the prior knowledge of the user has the power to increase the effectiveness of learning systems. Recent studies have begun to indicate that Adaptive Hypermedia Learning Systems (AHLS) based on cognitive styles have the power to improve learner performance. Recent examples of research exploring avenues for effectively incorporating serious games into AHLS indicated that integrating serious games into a personalized learning environment has the potential educational benefits of combining a personalized delivery with increased learner motivation. The exploratory study presented in this paper here developed an Adaptive Hypermedia Driven Serious Game (AHDSG) based around Pask’s Holist-Serialist dimension of cognitive style. A prototype AHDSG was designed and developed to teach students about Sutton Hoo and archaeological methods. Sixty-six secondary school students participated in this study. Overall the findings of this study show that there was an improvement in performance among all participants. Although the participants that used the system which adapted to their preferred cognitive style achieved a higher mean gain score, the difference was not significant.
Prevalence and Risk factors of Infertility in a Mongolian Population

Background: Worldwide, the median prevalence of infertility is 9%, but rates in different countries vary from 3.5% to 16.7%. Infertility, which is defined by the World Health Organization (WHO) as the failure to conceive after 12 months of unprotected regular sexual intercourse, is reproductive health problems carries a social stigma and can greatly impact a couple’s self-esteem and wellbeing. There are a number of risk factors associated with infertility such as: culture, socio-economic factors, age and health care including treatment of sexually transmitted diseases. We have achieved the first population-based study on the prevalence of infertility in reproductive aged women in Mongolia, and the factors that influence it.Method: We conducted a population-based cross-sectional study in 4 regions (Khangai, Eastern, Western, Central) of Mongolia and the capital city Ulaanbaatar. Our questionnaire consisted of categories that influenced infertility such as: socio-economic status, lifestyle factors, health, reproductive history, present status and sexual function. Trained staff conducted face-to-face interviews with the participants.Results: A total of 1,920 couples residing in 4 regions of Mongolia and the capital city, Ulaanbaatar were studied. The median prevalence rate of infertility was 7.2%, which is similar to the worldwide infertility rate of 9%. Primary and secondary infertility was 2.4% and 4.8% respectively. Our study showed that the most important risk factors for infertility were age, rural living, low levels of education, obesity and diseases of the female reproductive system. Only 14.8% of infertile patients received hormone therapy, and even fewer infertile patients (0.8%) received in vitro fertilization (IVF) treatment.Conclusions: The prevalence rate of infertility is comparable to global rates among other developing countries. Our study shows that significant risk factors for infertility were: age, living in rural communities, having a low level of education, obesity and diseases of the female reproductive system. Occupational conditions, and monthly household income were not significant risk factors for infertility. Since this is the first population-based study in Mongolia we were not able to measure trends in infertility prevalence but intend to do so in the future.
Morphological Appearance of Condylar Head in Mixed Dentition Period (Evaluated from Panoramic Radiograph)

Introduction: During mixed dentition period, the growth and development process of dentocraniofacial complex occurs, with temporomandibular joint as one of its centers of growth. The condition of temporomandibular joint can be seen from its condylar head shape; therefore, it is essential to understand the normal morphology of condylar head during mixed dentition period. Objective: this research aims to view the general morphology of condylar head during mixed dentition period. Method: Samples of panoramic radiographs were collected from Maranatha Dental Hospital, Bandung, Indonesia. It consists of 70 male and 70 female subjects, divided into three groups according to their phase of mixed dentition period. Shape of subjects' condylar heads was determined by analyzing and comparing the tracing results of condyle in panoramic radiograph. Result: Study showed in first transitional period of mixed dentition, condylar head shape is dominated by round, as growth and development go on, the domination of condylar head shape is changed into convex on second transitional period. Conclusion: Mostly condylar head shape morphology during mixed dentition period is round-headed in first transitional and inter-transitional period, and convex-headed in second transitional period.
Towards an improved treatment of cloud-radiation interaction in weather and climate models: exploring the potential of the Tripleclouds method for various cloud types using libRadtran 2.0.4

The representation of unresolved clouds in radiation schemes of coarse-resolution weather and climate models has progressed noticeably over the past years. Nevertheless, a lot of room remains for improvement, as the current picture is by no means complete. The main objective of the present study is to advance the cloud–radiation interaction parameterization, focusing on the issues related to model misrepresentation of cloud horizontal inhomogeneity. This subject is addressed with the Tripleclouds radiative solver, the fundamental feature of which is the inclusion of the optically thicker and thinner cloud fraction. The research challenge is to optimally set the pair of cloud condensates characterizing the two cloudy regions and the corresponding geometrical split of layer cloudiness. A diverse cloud field data set was collected for the analysis, comprising case studies of stratocumulus, cirrus and cumulonimbus. The primary goal is to assess the validity of the global cloud variability estimate along with various condensate distribution assumptions. More sophisticated parameterizations are subsequently explored, optimizing the treatment of overcast as well as extremely heterogeneous cloudiness. The radiative diagnostics including atmospheric heating rate and net surface flux are consistently studied using the Tripleclouds method, evaluated against a three-dimensional radiation computation. The performance of Tripleclouds mostly significantly surpasses the calculation on horizontally homogeneous cloudiness. The effect of horizontal photon transport is further quantified. The overall conclusions are intrinsically different for each particular cloud type, encouraging endeavors to enhance the use of cloud-regime-dependent methodologies in next-generation atmospheric models. This study, highlighting the Tripleclouds potential for three essential cloud types, signifies the need for more research examining a broader spectrum of cloud morphologies.
University of Birmingham A heterogeneous online learning ensemble for non-stationary environments

Learning in non-stationary environments is a challenging task which requires the updating of predictive models to deal with changes in the underlying probability distribution of the problem, i.e., dealing with concept drift. Most work in this area is concerned with updating the learning system so that it can quickly recover from concept drift, while little work has been dedicated to investigating what type of predictive model is most suitable at any given time. This paper aims to investigate the benefits of online model selection for predictive modelling in non-stationary environments. A novel heterogeneous ensemble approach is proposed to intelligently switch between different types of base models in an ensemble to increase the predictive performance of online learning in non-stationary environments. This approach is Heterogeneous Dynamic Weighted Majority (HDWM). It makes use of “seed” learners of different types to maintain ensemble diversity, overcoming problems of existing dynamic ensembles that may undergo loss of diversity due to the exclusion of base learners. The algorithm has been evaluated on artificial and real-world data streams against existing well-known approaches such as a heterogeneous Weighted Majority Algorithm (WMA) and a homogeneous Dynamic Weighted Majority (DWM). The results show that HDWM performed significantly better than WMA in non-stationary environments. Also, when recurring concept drifts were present, the predictive performance of HDWM showed an improvement over DWM.