Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Educational Program on Knowledge and Attitudes towards Cervical Cancer Screening among Women of Reproductive Age

Background: Cervical cancer is a leading cause of morbidity and mortality among women in low and middle-income countries. The aim: to evaluate the effect of educational program on knowledge and attitudes towards cervical cancer screening among women at reproductive age. Research design: Quasi-experimental design (pre-test, post-test) was used to achieve the aim of this study. Sample: A purposive sample of 100 women was used. Data Collection Tool, questionnaire (I): A structured interviewing questionnaire which included socio-demographic characteristics of women, marital and reproductive history (II) knowledge regarding cervical cancer and screening questionnaire (III) Attitudes toward cervical cancer and screening questionnaire. Results: Before the educational program, 21% of the participated women had poor knowledge regarding cervical cancer and screening; later, that number dropped to none, and 31% and 69% had moderate and good knowledge respectively, post-implementation. On the other hand, 62% of the studied women had a positive attitude regarding cervical cancer screening before the educational program but it increased to 82% post-implementation of an educational program. Conclusion: The study concluded that the educational program positively affected knowledge and attitudes toward cervical cancer screening among women at reproductive age. Recommendation: Periodically screening for cervical cancer among women of reproductive age in the obstetric hospital and maternal–child health centers
Polymeric Microspheres Designed to Carry Crystalline Drugs at Their Surface or Inside Cavities and Dimples

Injectable polymer microparticles with the ability to carry and release pharmacologically active agents are attracting more and more interest. This study is focused on the chemical synthesis, characterization, and preliminary exploration of the utility of a new type of injectable drug-releasing polymer microparticle. The particles feature a new combination of structural and physico-chemical properties: (i) their geometry deviates from the spherical in the sense that the particles have a cavity; (ii) the particles are porous and can therefore be loaded with crystalline drug formulations; drug crystals can reside at both the particle’s surfaces and inside cavities; (iii) the particles are relatively dense since the polymer network contains covalently bound iodine (approximately 10% by mass); this renders the drug-loaded particles traceable (localizable) by X-ray fluoroscopy. This study presents several examples. First, the particles were loaded with crystalline voriconazole, which is a potent antifungal drug used in ophthalmology to treat fungal keratitis (infection/inflammation of the cornea caused by penetrating fungus). Drug loading as high as 10% by mass (=mass of immobilized drug/(mass of the microparticle + mass of immobilized drug) × 100%) could be achieved. Slow local release of voriconazole from these particles was observed in vitro. These findings hold promise regarding new approaches to treat fungal keratitis. Moreover, this study can help to expand the scope of the transarterial chemoembolization (TACE) technique since it enables the use of higher drug loadings (thus enabling higher local drug concentration or extended therapy duration), as well as application of hydrophobic drugs that cannot be used in combination with existing TACE embolic particles.
Exponential projective synchronization analysis for quaternion-valued memristor-based neural networks with time delays

The issues of exponential projective synchronization and adaptive exponential projective synchronization are analyzed for quaternion-valued memristor-based neural networks (QVMNNs) with time delays. Different from the results of existing decomposition techniques, a direct analytical approach is used to discuss the projection synchronization problem. First, in the framework of measurable selection and differential inclusion, the QVMNNs is transformed into a system with parametric uncertainty. Next, the sign function related to quaternion is introduced. Different proper control schemes are designed and several criteria for ascertaining exponential projective synchronization and adaptive exponential projective synchronization are derived based on Lyapunov theory and the properties of sign function. Furthermore, several corollaries about global projective synchronization are proposed. Finally, the reliability and validity of our results are substantiated by two numerical examples and its corresponding simulation.
System identification for high‐performance UAV control in wind

This article describes and experimentally evaluates a comprehensive system identification framework for high‐performance UAV control in wind. The framework incorporates both linear offline and nonlinear online methods to estimate model parameters in support of a nonlinear model‐based control implementation. Inertial parameters of the UAV are estimated using a frequency‐domain linear system identification program by incorporating control data obtained from motor‐speed sensing along with state estimates from an automated frequency sweep maneuver. The drag‐force coefficients and external wind are estimated recursively in flight with a square‐root unscented Kalman filter. A custom flight controller is developed to handle the computational demand of the online estimation and control. Flight experiments illustrate the nonlinear controller's tracking performance and enhanced gust rejection capability.
Analysis and Mitigation of Religion Bias in Indonesian Natural Language Processing Datasets

Previous studies have shown the existence of misrepresentation regarding various religious identities in Indonesian media. Misrepresentations of other marginalized identities in natural language processing (NLP) datasets have been recorded to inflict harm against such marginalized identities, in cases such as automated content moderation, and as such must be mitigated. In this paper, we analyze, for the first time, several Indonesian NLP datasets to see whether they contain unwanted bias and the effects of debiasing on them. We find that two, out of three, datasets analyzed in this study contain unwanted bias, whose effects trickle down to downstream performance under the form of allocation and representation harm. The results of debiasing at the dataset level, as a response to the biases previously discovered, are consistently positive for the respective dataset. Nevertheless, depending on the dataset and embedding used to train the model, they vary highly at the downstream performance level. In particular, the same debiasing technique can decrease bias on a combination of datasets and embedding, yet increase bias on another, particularly in the case of representation harm.
CO2 Adsorption Behaviors of Biomass-Based Activated Carbons Prepared by a Microwave/Steam Activation Technique for Molecular Sieve

In this study, the activated carbon was prepared with superior CO2 selective adsorption properties using walnut shells, a biomass waste, as a precursor. The activations were conducted at various times using the microwave heating technique in a steam atmosphere. The surface morphology and chemical composition of activated carbon were analyzed using a scanning electron microscope and energy-dispersive X-ray spectroscopy. The textural properties were investigated using the N2/77K isothermal method, and the structural characteristics were examined using X-ray diffraction analysis. The CO2 and H2 adsorption properties of activated carbon were analyzed using a thermogravimetric analyzer and a high-pressure isothermal adsorption apparatus, respectively, under atmospheric and high-pressure conditions. Depending on the activation time, the specific surface area and total pore volume of the activated carbon were 570–690 m2/g and 0.26–0.34 cm3/g, respectively. The adsorption behaviors of CO2 of the activated carbon were different under atmospheric and high-pressure conditions. At atmospheric pressure, a significant dependence on micropores with diameters less than 0.8 nm was observed, whereas, at high pressure, the micropores and mesopores in the range of 1.6–2.4 nm exhibited a significant dependence. However, H2 adsorption did not occur at relatively low pressures. Consequently, the prepared activated carbon exhibited superior selective adsorption properties for CO2.
Combined Application of Organic Fertilizer with Microbial Inoculum Improved Aggregate Formation and Salt Leaching in a Secondary Salinized Soil

Greenhouse vegetable production provides significant quantities of vegetables throughout the year and improves farmers’ income. However, over-fertilization with mineral fertilizer causes soil secondary salinization and decreases the stability of the soil structure. To improve aggregate formation and decrease salt accumulation in the soil profile, bio-organic fertilizers (Protaetia brevitarsis larvae frass with Bacillus amyloliticus and/or Trichoderma harziensis) were applied to partially substitute mineral fertilizer in a salinized vegetable soil. Soil nutrient condition, aggregate stability, and salt movement in the soil profile were measured in a greenhouse double-cucumber system. The results showed that soil organic matter (SOM), total nitrogen (TN), and available phosphorus (AP) increased significantly under bio-organic fertilizer treatments compared with control. Soil electrical conductivity (EC) and total salt content (TSC) decreased by 15.74–24.20% and 19.15–29.05%, respectively, with bio-organic fertilizers (p < 0.05). Cl−, NO3−, and SO42− content under double inoculation with B. amyloliticus and T. harziensis reduced by 31.19%, 26.30%, and 53.11%, respectively, compared to CK (p < 0.05). In addition, double inoculation was more efficient in reducing nitrate content in the soil profile than single inoculation. Soil microaggregates of 0.25–0.053 mm increased by 75.87–78.51% with bio-fertilizers compared with control, and double inoculation was the best for aggregate formation. In conclusion, the inoculation of plant-growth-promoting and salt-tolerant microorganisms with high humic acid larvae frass can alleviate salinization in vegetable soil, enhance soil nutrient content, and improve the soil structure.
A Comparison of Slow Infusion Intermittent Feeding versus Gravity Feeding in Preterm Infants: A Randomized Controlled Trial

Background: The transition to full enteral feeding is important for ensuring adequate growth in preterm infants. Aims: The aim of this study was to investigate the effects of two different intermittent feeding methods on the transition to full enteral feeding in preterm infants. Study design: A prospective, randomized controlled study was conducted in a neonatology and perinatology center. Subjects: Preterm infants with a gestational age between 24 + 0/7 and 31 + 6/7 were included in this study. They were divided into two groups: the SIF (slow infusion feeding) group and the IBF (intermittent bolus feeding) group. In the SIF group, feed volumes were administered over one hour using an infusion pump through an orogastric tube, with feeding occurring every three hours. The IBF group received enteral feeding using a gravity-based technique with a syringe through an orogastric tube, completed within 10 to 30 min. Outcome measures: The primary outcome was the achievement of full enteral feeding and the occurrence of feeding intolerance. Results: A total of 103 infants were enrolled in the study (50 in SIF and 53 in IBF). The time to achieve full enteral feeding did not differ significantly between the two groups (p = 0.20). The SIF group had significantly fewer occurrences in which gastric residual volume exceeded 50% (p = 0.01). Moreover, the SIF group had a significantly shorter duration of non-per-oral (NPO) status than the IBF group (p = 0.03). Conclusions: It is our contention that the use of the SIF method as an alternative feeding method is appropriate for infants with feeding intolerance and those at high risk of feeding intolerance.
Vehicle Fixing Recommender System Using User-Based Collaborative Filtering Algorithm

The study refers to vehicle fixing support, an Online Application System for vehicle owners with vehicular problems guided by features on recommending service providers according to their geographical location and performance rating of service providers using the Collaborative Filtering Algorithm. As the number of vehicle owners increases, the tendency for services related to vehicle fixing and maintenance could also increase, providing the chance for vehicle service providers to be in the limelight in the digital world. The system stakeholders include the vehicle owners, vehicle service providers, and the technical support team that administers the registration and approval process among vehicle owners and service providers. Data management with transactions established are properly kept to track and trace services availed by vehicle owners served as the basis for collaborative filtering. The Front-end and back- end of the system are structured using HTML5, Bootstrap 4, CodeIgniter4, JavaScript, and MySQL for its database. The system was found to have advertised the service providers’ skills and services to the customers as vehicle owners who search for and therefore book an appointment with the available service providers online. The desired results were met when the transaction is done from booking appointments through the system to successful services offered on-site. The search results had shown the recommended service providers that precisely fit the vehicle owner's or driver's search parameters criteria. The system's availability has been concluded which obtained a rating of 5 with the quality description of excellent functionality by the end-user reviews by the software requirements specifications
The effect of Shilajit on growth performance, blood parameters, and key liver enzymes of the common carp (Cyprinus carpio)

Natural additives are crucial to maintaining healthy aquaculture practices as they boost fish wellness, reduce related environmental problems, and improve productivity. The current study aims to assess the effect of shilajit on common carp ( Cyprinus carpio ) metabolites, such as blood parameters, liver function, and growth performance. The fish were fed a basal diet
Journal of Software Maintenance and Evolution: Research and Practice How Do Apis Evolve? a Story of Refactoring

SUMMARY Frameworks and libraries change their APIs. Migrating an application to the new API is tedious and disrupts the development process. Although some tools and ideas have been proposed to solve the evolution of APIs, most updates are done manually. To better understand the requirements for migration tools, we studied the API changes of four frameworks and one library. We discovered that the changes that break existing applications are not random, but tend to fall into particular categories. Over 80% of these changes are refactorings. This suggests that refactoring-based migration tools should be used to update applications.
One-Chip Active EMI Filter With Integrated Buck Converter and Self-Malfunction Detection for CE Noise Reduction

This article presents an active electromagnetic interference (EMI) filter (AEF) implemented by one chip, including an EMI management-integrated circuit (EMIC) and power-management-integrated circuit (PMIC). The designed IC was fabricated by a 0.18 μm Biplor-CMOS-DMOS (BCD) process. By virtue of a designed buck converter implemented PMIC within the IC area, the integrated EMIC with PMIC can operate with a 15 to 45 V dc supply as well as a 12 V dc supply to operate EMI noise compensation. Through experimental validation using a real three-phase inverter motor system, the noise attenuation performance of the AEF was found to excel beyond that of a two-stage L-C passive EMI filter, achieving approximately 6 dB improvement at 150 kHz, while exhibiting no resonance peaks above 1 MHz. Further, the AEF effectively maintains the conducted emissions (CE) noise levels below the established CE regulations throughout the entire frequency range. The single-chip design integrates a malfunction detection mechanism that automatically shuts down the dc power supply in the event of an EMIC failure, thus ensuring enhanced safety and practicality.
Himalayan wetlands initiative - conservation and wise use of natural water storage in the HKH region.

The Hindu Kush-Himalayan (HKH) region covers an area of about 3,500,000 sq.km extending across eight countries (Afghanistan, Bangladesh, Bhutan, China, India, Myanmar, Nepal and Pakistan). The region has a large number of water retaining wetlands in the form of lakes, marshes, peatlands, wet grasslands, streams, glacial lakes, and rivers (ICIMOD 2009). These wetlands are both biologically and culturally signifi cant; 28 have been designated as ‘Ramsar sites’ (included in the ‘List of Wetlands of International Importance’, or Ramsar list) by the Convention on Wetlands, 14 of them in the high altitude wetland category, i.e. above 3,000 metres above sea level (Figure 1).