Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Design of the Deep Neural Network Pipeline

Deep neural networks have proven to be effective in various domains, especially in natural language processing and image processing. However, one of the challenges associated with using deep neural networks includes the long design time and expertise needed to apply these neural networks to a particular domain. The research presented in this paper investigates the automation of the design of the deep neural network pipeline to overcome this challenge. The deep learning pipeline includes identifying the preprocessing needed, the feature engineering technique, the neural network to use and the parameters for the neural network. A selection pertubative hyper-heuristic (SPHH) is used to automate the design pipeline. The study also examines the reusability of the generated pipeline. The effectiveness of transfer learning on the generated designs is also investigated. The proposed approach is evaluated for text processing—namely, sentiment analysis and spam detection—and image processing—namely, maize disease detection and oral lesion detection. The study revealed that the automated design of the deep neural network pipeline produces just as good, and in some cases better, performance compared to the manual design, with the automated design requiring less design time than the manual design. In the majority of instances, the design was not reusable; however, transfer learning achieved positive transfer of designs, with the performance being just as good or better than when transfer learning was not used.
JURNAL BIOMETRIKA DAN KEPENDUDUKAN (Journal of Biometrics and Population)

The number of married women and men who no longer want children in Bali Province is consistent with a relatively high contraceptive prevalence rate (CPR) of 67%, higher than the national average of 64%. The large proportion of couples of reproductive age (CRA) who no longer want children either at the national or provincial level in Bali is an interesting thing to be analyzed further to see the factors that influence it. This study investigated secondary data of the 2017 Indonesia Demography and Health Survey (IDHS) in Bali Province. The variables studied included socio-demographics and desire to have children. The sample size was 271 married women (15-49 years). We found that the age of women of reproductive age (WRA), occupation of WRA, number of children alive
Anaplastic Transformation of Follicular Thyroid Carcinoma in Pulmonary Metastasis With Gradually Progressive Intra-tumoral Cavitation: A Case Report

Anaplastic transformation of differentiated thyroid cancer is rare but clinically important because of the dismal prognosis after anaplastic transformation. Therefore, cases and findings of anaplastic transformation must be accumulated, which could ultimately lead to an earlier diagnosis and an improved prognosis. Here, we present a case of anaplastic transformation of follicular thyroid carcinoma (FTC) in a pulmonary metastatic lesion associated with gradually progressive tumor cavitation. The patient with FTC was diagnosed with multiple lung metastases three years after surgery for the primary tumor and metastatic neck lymph nodes. Annual treatment with radioactive iodine resulted in disease stability for 10 years. However, one lung metastasis in the left lower lobe gradually enlarged and was associated with intra-tumoral cavitation. The growing lung nodule was resected and pathologically diagnosed as an anaplastic transformation of FTC. Fourteen months after diagnosis, the patient died of pneumothorax caused by pleural dissemination despite multiple treatment interventions. This case highlights pulmonary metastasis with progressive cavitary lesions as a potential early sign of the anaplastic transformation of differentiated thyroid cancer.
Bachelor of Education Science Students’ Beliefs, Perceptions, and Experiences of Online Learning during the COVID-19 Pandemic: A Case of Disadvantaged Students

This study examined Bachelor of Education science students’ beliefs, perceptions, and experiences of online learning during the COVID-19 pandemic. The investigation adopted an explanatory mixed method research design and involved purposively selected students enrolled for Bachelor of Education degree specialising in Physical and Life Sciences at a South African university. These students came from rural areas, townships, and informal settlements, which are characterised by a myriad of socio-economic challenges. These challenges have profound implications for students’ resilience within the higher education sector. The study was underpinned by Technology Ac ceptance Model as the theoretical framework. Quantitative data was collected through administration of a questionnaire while qualitative data was collected through semi-structured interviews. Quantitative and qualitative data were analysed using SPSS and Atlas.ti, respectively. Findings showed that the students struggled to acquire appropriate digital devices and to access internet connectivity amongst other challenges because of their socio-economic backgrounds. They however demonstrated resilience through successful completion of their studies in the face of these critical challenges. Notwithstanding their socio-economic backgrounds, the students competed favourably with their peers from privileged backgrounds. The study has important implications for the alleviation of existing socio-economic disparities within the South African higher education system.
Regression Rate Behavior of Hybrid Rocket Solid Fuels

An experimental investigation of the regression-rate characteristics of hydroxyl-terminated polybutadiene (HTPB) solid fuel burning with oxygen was conducted using a windowed, slab-geometry hybrid rocket motor. A real-time, x-ray radiography system was used to obtain instantaneous solid-fuel regression rate data at many axial locations. Fuel temperature measurements were made using an array of 25- πm e ne-wire embedded thermocouples. The regression rates displayed a strong dependence on axial location near the motor head-end. At lower mass e ux levels, thermal radiation was found to signie cantly ine uence the regression rates. The regression rates werealso affected by theadditionofactivated aluminum powder.A 20%by weightaddition of activated aluminum to HTPB increased the fuel mass e ux by 70% over that of pure HTPB. Correlations were developed to relate the regression rate to operating conditions and port geometry for both pure HTPB and for HTPB loaded with certain fractions of activated aluminum. Thermocouple measurements indicated that the fuel surface temperatures for pureHTPBwerebetween930 and1190 K.TheHTPBactivationenergywasestimatedat11. 5 kcal/mole,suggesting that the overall regression process is governed by physical desorption of high-molecular weight fragments from the fuel surface.
Value relevance and corporate social responsibility disclosure: A literature review

This article presents a review of the research literature that discusses the relevance of the value of CSR disclosure conducted in various research before. The popularity of the topic of value relevance today is still a hot topic of discussion among researchers, even though there have been many studies that have discussed value relevance analysis. This phenomenon is caused because there is much stigma regarding the discussion of whether CSR disclosure does have a relevant value or not. The literature review is limited to research conducted from 2020 to 2022 using reputable and credible articles. This article discusses the evidence for the value relevance phenomenon. The results of this article indicate that there are still differences in the research results that discuss the relevance value of CSR disclosure. There are several companies with good enough CSR disclosure to have a high relevance value, but there are also companies with the opposite result. This result can be caused by various influencing factors such as the ability of CSR disclosure owned by each company, the ability of the board of directors to regulate and make policies regarding CSR, research samples, political conditions, and assumptions and stigma on investors in certain areas. Further research is expected to expand the scope of research to provide arguments regarding the value of relevance more accurately.
Do Message Framing and Source Credibility Matter? : Examining Framed COVID- 19 Prevention Messaging in Saudi Arabia

This paper aims to examine the influence of different message framings (utilitarian, deontological, religious, virtue-based message, and God's punishment-based messages) on Saudi Arabians’ beliefs and behavioral intentions related to COVID-19 and the influence of message source (religious advocate, Saudi COVID-19 monitoring committee member, close person, physician, journalist, and social media influencer) on communicating messages in the COVID-19 pandemic context. The between-subject design experiment (n =222) was conducted online due to the Covid-19 restrictions in force at the time of this study and in an attempt to derive a representative sample from the general Saudi population. The results showed that the God’s punishment-based message was less effective than other moral and religious messages, including the non-framed messages, and member of the Saudi COVID-19 monitoring committee, followed by physicians, were believed to be the most effective message sources. Overall, the current research contributes to the knowledge about health and crisis communications in the collectivistic cultural context.
Benchmarking Outcomes That Matter Most to Patients: The Globe Programme

Significant variation in health outcomes exists around the world. The International Consortium for Health Outcomes Measurement (ICHOM) has developed Standard Sets of outcomes for important medical conditions and populations to enable outcome measurement and comparision in order to understand variation and stimulate improvement. ICHOM has recently launched a prospective, non-interventional, observational pilot benchmarking programme. This article reviews the pilot methods, timelines, expected outputs, lessons learnt to date, and the next steps. We believe this programme is truly innovative as it will be the first global initiative in Standard Sets benchmarking, provider engagement, and risk-adjustment on the outcomes of care of most importance to patients. It has the potential to bring significant changes to compare the quality of healthcare and health systems around the world and ultimately to improve patient care.
Use of Compliance Measures in an Analysis of the Effect of Diltiazem on Mortality and Reinfarction After Myocardial Infarction

A clinical trial efficacy analysis based on actual drug usage is described. The influence of diltiazem therapy on mortality and reinfarction in the multicenter diltiazem post-infarction trial (MDPIT) is analyzed using records for drug discontinuation and reinitiation; the results are then compared with the previously published “intention to treat” analysis. As expected, previously reported beneficial effects of diltiazem therapy in patients without pulmonary congestion and previously reported harmful effects in patients with pulmonary congestion are strengthened for patients while on study medication; both effects are weakened for those not on study medication. It is also shown that for patients assigned to placebo, being on or off study medication is a powerful prognostic indicator of subsequent outcome events, especially among patients with pulmonary congestion. Analysis of discontinuation rates suggested that patients assigned to diltiazem therapy were likely to discontinue trial medication earlier tha.
Dabigatran: Clinical correlation of drug and its dose with risk of stroke and bleeding

Background: Dabigatran is the first oral direct thrombin inhibitor which is endorsed by Food and Drug Administration in the prevention of embolic events in patients with nonvalvular atrial fibrillation. Suitable dose of the drug for the patient is selected based on CHA2DS2-VASc score and HAS-BLED score. Aim: To determine and compare the risk of occurrence of stroke and bleeding after the initiation of dabigatran therapy in patients prescribed with this drug. Methods: Patients with more than 18 years who were prescribed with dabigatran during 2017-2019 in a tertiary care hospital were selected for the study. Most of the patient's prescriptions contained an antiplatelet, so a comparison was made between the clinical outcomes of patients given with dabigatran alone and dabigatran with an antiplatelet because antiplatelet can have effects on the safety as well as efficacy profile of dabigatran. Results: Out of 75 patients enrolled in the study, 42 patients were in the dabigatran with the antiplatelet group and 33 were in the dabigatran alone group. In both the groups, there was a significant reduction in CHA2DS2-VASc score, i.e., 2.58 ± 1.32–1.94 ± 1.21 in dabigatran-treated patients within 6 months, and the score was lowered from 3.76 ± 1.22 to 2.92 ± 1.22 in other groups. The mean value of the HAS-BLED score of dabigatran was reduced from 1.15 ± 0.83 to 0.84 ± 0.78 and that of dabigatran with antiplatelet group from 2.10 ± 0.94 to 1.74 ± 0.92. Conclusion: It was observed that within 6 months, both the treatment groups showed a reduction in the risk scores. The dabigatran group had lower background risks of stroke and bleeding in comparison to the dabigatran plus antiplatelet group.
Electrical conductivity of a graphite layer

The electrical conductivity of a charged layer of graphite is calculated from first principles within a tight-binding framework. The Fermi surface consists of circles around the $P$ points in the Brillouin zone. In the neighborhood of these points we obtain analytical expressions for the electron-phonon coupling ${g}_{\stackrel{\ensuremath{\rightarrow}}{\mathrm{k}}{\stackrel{\ensuremath{\rightarrow}}{\mathrm{k}}}^{\ensuremath{'}}}$. The longitudinal and transverse phonons are shown to give exactly the same average contribution to scattering (contrary to the case of simple metals). In the high-temperature limit we obtain a conductivity (at $T=300$ K) that is about thrice that of copper. The significance of this result with respect to graphite intercalation compounds is discussed.
Thromboembolic Events in Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy for Muscle-Invasive Bladder Cancer: A Study of Renal Impairment in Relation to Potential Thromboprophylaxis

Recent studies on patients with muscle-invasive bladder cancer (MIBC) undergoing neoadjuvant chemotherapy (NAC) have shown an association between NAC and thromboembolic events (TEE) prior to radical cystectomy (RC). Recent studies suggest that central venous access catheters (CVAs) may induce TEEs, and low-molecular-weight heparin (LMWH) has been mentioned as possible prophylaxis. However, other studies have shown a high incidence of decreased renal function in these patients. The purpose of this study was to determine the portion of MIBC patients with NAC-induced TEEs who had decreased preoperative renal function for whom LMWH potentially would not be beneficial as prophylaxis. We identified 459 cystectomized MIBC patients from two Swedish medical centers from 2009 to 2021. The inclusion criterion of cT2-T4aN0M0 resulted in 220 eligible patients, who were further divided into NAC-administered (n = 187) and NAC-eligible (n = 33), the tentative control group. Values of renal function before, during, and after each NAC cycle were retrospectively collected from individual medical records. Amongst the NAC-administered patients with TEE (n = 29), 41% (95% CI 23.5–61.1%) of patients had decreased renal function. Thus, a substantial portion of NAC-administered patients who developed TEEs had reduced renal function and would have been less likely to have benefited from renal clearance-dependent LMWH prophylaxis.
Natural Compounds as Non-Nucleoside Inhibitors of Zika Virus Polymerase through Integration of In Silico and In Vitro Approaches

Although the past epidemic of Zika virus (ZIKV) resulted in severe neurological consequences for infected infants and adults, there are still no approved drugs to treat ZIKV infection. In this study, we applied computational approaches to screen an in-house database of 77 natural and semi-synthetic compounds against ZIKV NS5 RNA-dependent RNA-polymerase (NS5 RdRp), an essential protein for viral RNA elongation during the replication process. For this purpose, we integrated computational approaches such as binding-site conservation, chemical space analysis and molecular docking. As a result, we prioritized nine virtual hits for experimental evaluation. Enzymatic assays confirmed that pedalitin and quercetin inhibited ZIKV NS5 RdRp with IC50 values of 4.1 and 0.5 µM, respectively. Moreover, pedalitin also displayed antiviral activity on ZIKV infection with an EC50 of 19.28 µM cell-based assays, with low toxicity in Vero cells (CC50 = 83.66 µM) and selectivity index of 4.34. These results demonstrate the potential of the natural compounds pedalitin and quercetin as candidates for structural optimization studies towards the discovery of new anti-ZIKV drug candidates.
Sustainable Valorization of Tomato Pomace (Lycopersicon esculentum) in Animal Nutrition: A Review

Simple Summary The global annual production of tomatoes (Lycopersicon esculentum) is 170 million tons. After industrial processing, a large amount of tomato pomace is produced because it contains a high amount of water and nutrients. Therefore, if it is not used properly, not only will resources be wasted, but the environment will be polluted. In addition, tomato pomace is also rich in antioxidants, such as carotenoids, lycopene, and flavonoids, which help to improve the antioxidant properties of animals. Hence, this review focuses on the nutritional content of tomato pomace and the effects of its application in livestock. Abstract Under the background of the current shortage of feed resources, especially the shortage of protein feed, attempts to develop and utilize new feed resources are constantly being made. If the tomato pomace (TP) produced by industrial processing is used improperly, it will not only pollute the environment, but also cause feed resources to be wasted. This review summarizes the nutritional content of TP and its use and impact in animals as an animal feed supplement. Tomato pomace is a by-product of tomato processing, divided into peel, pulp, and tomato seeds, which are rich in proteins, fats, minerals, fatty acids, and amino acids, as well as antioxidant bioactive compounds, such as lycopene, beta-carotenoids, tocopherols, polyphenols, and terpenes. There are mainly two forms of feed: drying and silage. Tomato pomace can improve animal feed intake and growth performance, increase polyunsaturated fatty acids (PUFA) and PUFA n-3 content in meat, improve meat color, nutritional value, and juiciness, enhance immunity and antioxidant capacity of animals, and improve sperm quality. Lowering the rumen pH and reducing CH4 production in ruminants promotes the fermentation of rumen microorganisms and improves economic efficiency. Using tomato pomace instead of soybean meal as a protein supplement is a research hotspot in the animal husbandry industry, and further research should focus on the processing technology of TP and its large-scale application in feed.
Silent and invisible students: The importance of listening to the silence and seeing the invisible

In the fairytale, ‘The Invisible Child’, by the Finnish author Tove Jansson, the child Ninny was made silent and invisible as a result of her ill-treatment by the woman responsible for her care. A similar situation to that in the fairytale can be found in schools and other education settings where students are made both silent and invisible by their treatment by teachers and fellow classmates. The overall aim of this discussion is to explore the complexities of silence and invisibility, with a specific emphasis on silence and invisibility among students in school. The paper embraces consideration of the multifaceted phenomena of silence and invisibility, both within and beyond school. Silence, invisibility and power in society as well as in schools is discussed, with a specific focus on silence and oppression as crucial dimensions of bullying in schools, followed by an exploration of teachers use of silence. The discussion focuses attention on the silent language of response and silent and invisible students. The various ways of understanding and responding to student silence and invisibility are then explored. In conclusion the significance of silence and invisibility is discussed and the implications of this for education are considered and an argument is made for the importance of listening to the silence and seeing the invisible, as a prerequisite for making the invisible visible. Throughout the paper, the discussion is connected to, and exemplified by, the fairytale of Tove Jansson.
Reduction of Aflatoxin B1 and Zearalenone Contents in Corn Using Power Ultrasound and Its Effects on Corn Quality

The degradation of aflatoxin B1 (AFB1) and zearalenone (ZEA) is investigated using power ultrasound to identify suitable methods to reduce the mycotoxin content of corn. AFB1 and ZEA in corn are simultaneously degraded via power ultrasound; thus, this method has a significant effect on corn quality. The power intensity, solid-liquid ratio, and ultrasonic treatment modes significantly affect the degradation rates of AFB1 and ZEA. The dissolution of AFB1 and ZEA in water also facilitates their degradation. At the initial stage of ultrasonic treatment, power ultrasound promotes the dissolution of mycotoxins in water, whereupon they are partially oxidized by free radicals. With a treatment time of 10 min, the reduction rates decreased owing to the dissolution of combined-state mycotoxins. After ultrasonic treatment, the contents of the essential amino acids, the total number of amino acids, and the fatty acids in corn decreased; however, ΔH values decreased during starch gelatinization. In contrast, the amylose content and viscosity of corn significantly increased during gelatinization. Therefore, this method is potentially suitable for the reduction of AFB1 and ZEA contents in corn.
Supplementary Materials for Improving Quadrature for Constrained Integrands 1 Derivation of Moments

In order to fit hyperparameters in f -space as described in the main text, we maximize the likelihood of some observed training dataset (or equivalently, minimize the negative log-likelihood) w.r. t. the hyperparameters of the gp prior on the g-space belief. Making use of equation 5.8 from Rasmussen and Williams [3], it follows that the relevant quantities are ∂E[xi]/∂θ and ∂E[xixj ]/∂θ where θ is some hyperparameter of either the mean or covariance function of the gp prior. Because the partial derivatives ∂μ/∂θ and ∂Σ/∂θ depend on the choice of mean and covariance function, we instead present the partial derivatives of the moments w.r. t. the means and covariances/variances. These partial derivatives can be used in conjuction with ∂μ/∂θ and ∂Σ/∂θ to compute the gradient of the negative log-likelihood w.r. t. the g-space gp hyperparamters via the chain rule. The relevant partial derivatives for the log transform are trivial to compute: