Miracle-dz/UniFAR-FTUs huggingface dataset:
Explaining Call Recommendations in Nursing Homes: a User-Centered Design Approach for Interacting with Knowledge-Based Health Decision Support Systems

Recommender systems are increasingly used in high-risk application domains, including healthcare. It has been shown that explanations are crucial in this context to support decision-making. This paper explores how to explain call recommendations to nursing home staff, providing insights into call priority, notifications, and resident information. We present the design and implementation of a recommender engine and a mobile application designed to support call recommendations and explain these recommendations that may contribute to residents’ safety and quality of care. More specifically, we report on the results of a user-centered design approach with residents (N=12) and healthcare professionals (N=4), and a final evaluation (N=12) after four months of deployment. The results show that our design approach provides a valuable tool for more accurate and efficient decision-making. The overall system encourages nursing home staff to provide feedback and annotate, resulting in more confidence in the system. We discuss usability issues, challenges, and reflections to be considered in future health recommender systems.
Curriculum Generation and Sequencing for Deep Reinforcement Learning in StarCraft II

Reinforcement learning has proven successful in games, but suffers from long training times when compared to other forms of machine learning. Curriculum learning, an optimisation technique that improves a model’s ability to learn by presenting training samples in a meaningful order, known as curricula, could offer a solution for reinforcement learning. Due to limitations involved with automating curriculum learning, curricula are usually manually designed. However, due to a lack of research into effective design of curricula, researchers often rely on intuition and the resulting performance can vary. In this paper, we explore different ways of manually designing curricula for reinforcement learning in real-time strategy game, StarCraft II. We propose three generalised methods of manually creating tasks for curriculum learning and verify their effectiveness through experiments. We also experiment with different curricula sequences, in addition to the most commonly used easy-to-hard order. Our results show that all three of our proposed methods can improve a reinforcement learning agent’s learning process when used correctly. We demonstrate that modifying the state space of the tasks is the most effective way to create training samples for StarCraft II and that reversed curricula can be beneficial to an agent’s convergence process under certain circumstances.
Fungi as veritable tool in bioremediation of polycyclic aromatic hydrocarbons‐polluted wastewater

Polycyclic aromatic hydrocarbons of diverse forms have found application in different industries and man heavily depends on these compounds for various purposes. Thus, tonnes of thousands of polycyclic aromatic hydrocarbons are released into various water bodies yearly, resulting in pollution with great effects on aquatic lives, man, and the ecosystem at large. Hydrocarbon pollutions in wastewater are remediated by some physical and chemical methods with most of these techniques leaving a different form of harmful byproducts after the remediation. Furthermore, several species of fungi are important in the microbial bioremediation of polycyclic aromatic hydrocarbon in wastewater as they are capable of using these compounds as their source of carbon and energy in the presence of oxygenase. Fungal bioremediation is cost‐effective, safer, and ecologically friendly, in addition to fungi producing polycyclic aromatic hydrocarbon degradative enzymes in high amounts, both intracellularly and extracellularly. Although optimizing the growth requirement of fungi in the field is a major challenge, current advances in the application of fungi in bioremediation address this. This review discusses in detail the technology of fungal bioremediation of polycyclic aromatic hydrocarbon in wastewater and its beneficial roles to man and the ecosystem. The benefits of remediating polycyclic aromatic hydrocarbon‐polluted water with fungi and their metabolites via nanotechnology, immobilization, genomic manipulation, and other technologies to generate value‐added products are highlighted in this manuscript. Information in this review will provide useful important insights to researchers and industrial professionals in the bioremediation of polycyclic aromatic hydrocarbon.
Using Big Data in Movement Disorders: Disease States and Progression in Huntington's Disease

Huntington ’ s disease (HD) is a neurogenetic condition with a dramatic impact on the lives of people who carry the pathological CAG repeat number in the HTT gene. 1 In contrast with other neurodegenerative movement disorders in which the clinical diagnosis remains a gold standard, the discovery of the HTT gene mutation brought certainty to the diagnosis of HD in life. It allowed clinical research to cover a wider spectrum of the natural history of the disease long before the onset of de ﬁ nite clinical features, most commonly motor, that enable a clinical diagnosis. In the last few decades, the HD ﬁ eld witnessed the conduction of large observational studies, such
The AHP-based Fuzzy Evaluation on HVAC Service Management

This paper,based on a comprehensive assessment index system of HVAC service management,makes a comprehensive analysis of the weight coefficient of every index in the HVAC service management by using AHP method.The collected data are dealt with,the authority of every index in the assessment system is calculated based on AHP,and a comprehensive assessment of HVAC service management is made by using fuzzy evaluation method.The applicability of fuzzy evaluation model of HVAC service management is checked up based on AHP,and illustrated by the coincidence indicator with a practical example.A primary fuzzy evaluation model is set up based on AHP,and it is proved that a more impersonal and exact result of HVAC service management can be received through the fuzzy evaluation of HVAC service management based on AHP.
Intelligent Control Algorithm of Cloud models and Simulation Research of Superheated Steam Temperature Control

For implementing excellent control to nonlinear systems with long time-delay,a new intelligent control algorithm of cloud models was proposed.This algorithm presents the uncertainty reasoning of control rules based on cloud model.It represents a qualitative concept with expected value Ex,entropy En and hyper entropy He,and integrates the fuzziness and randomness of a linguistic concept in a unified way.This model is a new method for transformation between qualitative and quantitative in the knowledge.The intelligent controller uses the theory of the fuzzy control,designing a variant dimension cloud model intelligent controller containing a one-dimension cloud model controller to eliminate steady-state error,which is used for superheated steam temperature control of a supercritical once-though 600MW boiler.It also shows that the cloud controller is simple and easy,directly perceived through the senses,and has strong robustness,better control performance,and good application.
Single Objective Dynamic Economic Dispatch with Cubic Cost Functions using a Hybrid of Modified Firefly Algorithm with Levy Flights and Derived Mutations

The single objective dynamic economic dispatch (SODED) problem been formulated in quadratic form and solved extensively using pure and hybrid methods. SODED solution can be improved by introducing higher order generator cost functions since the fuel cost functions become more non-linear when the actual generator response is considered. Cubic cost functions models the actual response of thermal generators more accurately, thus it is an industry practice to adopt cubic polynomials for modelling fuel costs of generating units. Previous works have considered cubic static ED (SED). Therefore, there is need to consider the formulation of the dynamic SODED with all the possible constraints. Further the hybrid methods used in the solution of this vital problem need to be revisited and better ones developed. The modern trend of hybrids are the two-method and threemethod hybrids. In this paper, cubic SODED is formulated and validated on IEEE 3-unit,5-unit and 26-unit systems using Modified Firefly Algorithm with Levy Flights and Derived Mutation(MFA-LFDM). The proposed method proved better than Genetic Algorithm (GA), Particle Swarm Optimization (PSO) in determining optimal dispatch in the industry using the fully constrained SODED.
Conferring the Midas Touch on Integrative Taxonomy: A Nanogold-Oligonucleotide Conjugate-Based Quick Species Identification Tool

Nanogold or functionalized gold nanoparticles (GNPs) have myriad applications in medical sciences. GNPs are widely used in the area of nanodiagnostics and nanotherapeutics. Applications of GNPs in taxonomic studies have not been studied vis-à-vis its extensive medical applications. GNPs have great potential in the area of integrative taxonomy. We have realized that GNPs can be used to visually detect animal species based on molecular signatures. In this regard, we have synthesized gold nanoparticles (<20 nm) and have developed a method based on interactions between thiolated DNA oligonucleotides and small-sized GNPs, interactions between DNA oligonucleotides and target DNA molecules, and self-aggregating properties of small-sized GNPs under high salt concentrations leading to a visible change in colour. Exploiting these intermolecular and interparticle interactions under aqueous conditions, in the present work, we have demonstrated the application of our procedure by using a DNA oligonucleotide probe designed against a portion of the mitochondrial genome of the codling moth Cydia pomonella. This method is accurate, quick, and easy to use once devised and can be used as an additional tool along with DNA barcoding. This tool can be used for distinguishing cryptic species, identification of morphovariants of known species, diet analysis, and identification of pest species in quarantine facilities without any need of performing repetitive DNA sequencing. We suggest that designing and selecting a highly specific DNA probe is crucial in increasing the specificity of the procedure. Present work may be considered as an effort to introduce nanotechnology as a new discipline to the extensive field of integrative taxonomy with which disciplines like palaeontology, embryology, anatomy, ethology, ecology, biochemistry, and molecular biology are already associated for a long time.
A Review of Knowledge Hiding Behavior

In today's world, knowledge plays an increasingly prominent role in promoting the development of enterprises. In the knowledge age, organizational innovation lies in knowledge innovation, which relies on knowledge sharing. However, knowledge hiding behaviour is common in organizations, which hinders knowledge transfer and knowledge sharing, and finally affects organizational innovation. Therefore, knowledge hiding, as a new perspective in the field of knowledge management, has theoretical and practical significance. In this paper, the concept of knowledge hiding, influencing factors and current research status are sorted out to provide certain reference for future research.
A Configurational System-based Approach to Translating Tenses from Arabic to English

In this study, I seek to discuss the translation of tenses from Arabic, which does not have a grammatical category for ‘aspect’ to English, which has such a grammatical category. It is hypothesised that in order for the translators to produce an accurate translation and create a similar mental image in the minds of the target language readers, the ‘contextual tense’ should be given serious consideration at the expense of the ‘morphological tense’ or ‘structural tense’. This study proposes a cognitive model for identifying the contextual tense where categories, such as ‘point of emphasis’, ‘state of dividedness’, ‘state of boundedness’, ‘degree of extension’, ‘plexity’, ‘pace and time lapse’ and ‘extent of causation’ are used. To demonstrate how adhering to the morphological tense or structural tense without figuring out the contextual tense may lead to inaccurate translations, ample authentic examples taken from a collection of 12 short stories tilted ‘Modern Arabic Short Stories’ (2008) are used. From the analysis of the primary data, it has been shown that failing to identify the contextual tense leads to an inaccurate translation, thereby creating different mental images in the minds of the target language readers.
SCADA System for Next-Generation Smart Factory Environments

Today, in factories, production is spread into a wide area and became complicated. Complicated production requires a better monitoring and control system to improve efficiency. For this purpose, SCADA systems are used. SCADA systems allow industries to monitor, control and access to real-time data and data logging. Nowadays, all large-scale industries have SCADA systems. The cost of the SCADA system makes it unreachable for small and medium-size industries but a SCADA system that is designed by using C# programming language would be cheaper and could perform the same. In this study, a SCADA system has been developed to monitor and control the smart model factory system in AFSUAM. SCADA interface is created by using C# programming language and the communication between PLC and the SCADA is set by using Mitsubishi MX Component tool. With the developed SCADA system, the process of a product entering the factory as raw material, going through several processes and becoming a product from the supply chain to the distributor has been modeled on a sample marble factory model, and a graphical user interface has been created considering the purposes such as real-time monitoring, controlling, data logging and preventing errors in the context of this model.
Employing Barcode High-Resolution Melting Technique for Authentication of Apricot Cultivars

Fast, accurate and affordable identification of food products is important to ensure authenticity and safety. There are various apricot ( Prunus armeniaca L.) cultivars are being produced in Turkey. Each cultivar differs in quality and purpose of use. In this paper, we aimed to develop an easy and reliable method, Barcode High-Resolution Melting (Bar-HRM), to distinguish apricot cultivars. We designed and tested novel Bar-HRM primer sets HRM-ITS1 and HRM-ITS2, targeting the most popular barcoding region ITS1 and ITS2, specific to apricot cultivars. According to the results, HRM analysis distinguished 31 cultivars of 35 for ITS1, and 35 for ITS2. We recommend using ITS2 barcode region, amplified with using HRM-ITS2 primer set, for Bar-HRM analysis of different apricot cultivars.
Micro-strip Patch 2.4 GHz Wi-Fi Antenna Design For WLAN 4G- 5G Application

In this study, an antenna with a frequency of 2.4 GHz has been designed that can be used in new generation wireless communication systems, which are in high demand with the development of technology. The designed antenna has Wi-Fi operating frequency range according to IEEE 802.11 standards. While choosing the antenna design, micro-strip antenna was preferred due to their geometry, lightness, low cost of production and compactness. While designing the antenna, the CST microwave studio program was deemed appropriate to be used and the necessary measurements were made. It has been deemed appropriate to use copper in the ground and patch parts of the antenna design. ROGERS 5880 (RT5880), for micro-strip circuit applications, was preferred as the substrate material. The dielectric coefficient of the selected material is 2.2. Its thickness is taken as 0.81 mm. As a result of the design, most of the intended goals were achieved. The gain of the designed antenna is measured as 2.73 dBi return loss value 30 dB and the bandwidth as in the 2.33-2.48 GHz range. These results are acceptable according to the standards. The 2.4 GHz antenna designed in this study can be used for Wi-Fi studies according to the experimental results.
Service modes analysis based on extended warranty services desirability index

From the perspective of supply chain management,game theory was used to construct models for three modes,by which manufacturers provided product and extended warranty services to consumers.And the extended warranty services desirability index was also introduced to analyze.Analysis results revealed that:(1)Only part of consumers who purchased the product with the extended warranty services,the manufacturer was benefited when the extended warranty service was provided by the retailer.But the retailer had to balance the relation of the extended warranty services desirability index to choose the optimal mode between the M and R modes. (2)All consumers who purchased the product with the extended warranty services,both the manufacturer and the retailer had to balance the relation of the extended warranty services desirability index to choose the optimal mode. (3)When the extended warranty services desirability indexes were equal,retailer provided the extended warranty services could benefit both of manufacturer and retailer.
Research on Characteristics of Mercury Distribution in Combustion Products for A 300MW Pulverized Coal Fired Boiler

After coal, slag bottom ashes and fly ashes from a 300MW utility boiler at the loads of 300MW were sampled, mercury contents of those samples are measured. By means of mass balance methods, mercury distribution in coal and its combustion products can be calculated. Therefore, characteristics of mercury formation and emission in large scale utility boiler are discussed and analyzed.Figs 5, table 1 and refs 9.
A New Method for Extracting the Centre-line of Line Structure Light-stripe

Fast and accurately extracting the centre line of light stripe of image is one of the most important problems of 3D measurement based on line-structure light.A new centre-extracted method that combined the alterable direction template with barycenter method was proposed for the implementation of real-time image processing.First,the threshold of laser stripe was computed by the host computer and laser stripe was determined in real time by the neighbor attribute of grey level of pixel.Second,the sketch was obtained by thinning the light of stripe and pruning the branch.Third,the normal direction of the point on the sketch line was computed by using the alterable direction template.Finally,the centre-line of light was detected by using barycenter method.It has been proved by examination that this method can efficiently extracted the centre-line of light stripe.
Biological effects of olive oil phenolic compounds on mitochondria

ABSTRACT Phenolic compounds derived from olive oil have beneficial health properties against cancer, neurodegenerative, and metabolic diseases. Therefore, there are discrepancies in their impact on mitochondrial function that result in changes in oxidative capacity, mitochondrial respiration, and energetic demands. This review focuses on the versatile role of oleuropein, a potent antioxidant that regulates the AMPK/SIRT1/mTOR pathway to modulate autophagy/mitophagy and maintain metabolic homeostasis.
The structure of regional sustainable development system and coordination index analysis

An a ttempt is made to simulate the evolution course of regional sustainable development system based on the policy driving.The article begins with the coordination mechanism of the regional sustainable development system, imports the conception of action array and applies the way of system engineering.The paper appraises both the present and the future systems with the coordination index of static state as well as of dynamic state to support regional development policy decision.
Vibration character of a double cable suspension bridge under a single vehicle load

Taking the fact that the stiffness of vehicle body nod has little effect on the dynamic responses of a double cable suspension bridge into account,a single moving mass-spring-damper model was adopted to simulate a vehicle.The equation of vehicle-bridge coupled vibration was derived using D'Alembert principle and the compatibility conditions of displacements.The dynamic responses of a double cable suspension bridge to a vehicle moving at different speeds were analyzed,considering the geometric nonlinearity and the bridge carriageway irregularity factor,under two types of vehicle loading conditions,namely,moving along the central longitudinal axis and the eccentric one.Then,the influence of the vehicle velocity and the bridge carriageway irregularity on the impact coefficient of the double cable suspension bridge was discussed.Single cable suspension bridge could be taken as a special case of the double cable suspension bridge,after the main cable shape coefficient was introduced.The dynamic responses of the double cable suspension bridge and the single cable suspension bridge were compared to reveal the character of vehicle vibration of the double cable suspension bridge.The study on the dynamic responses character of the double cable suspension bridge was of great significance to structural form selection of such type bridge during designing,dynamic performance evaluation and reinforcement design.
Synthesis, Bio-evaluation and Quantum Chemical Studies of Some Coumarin Derivatives

*Corresponding Author: Yasameen K. Al-Majedy yasameen.k. hasan@uotechnology.edu. iq Abstract Coumarins are oxygen heterocyclic compounds that exist naturally and have a wide range of pharmacological properties, making them ideal as lead compounds for developing more powerful analogs. The modification of 4-methyl, 7-hydroxycoumarin by different reaction steps was done in this study to yield target compounds. They were characterized by different spectroscopic techniques (FT-IR and NMR), melting point and a thin layer chromatography. The microbiological activity of these compounds was investigated in a variety of bacterial and fungal species. Since the newly synthesized derivatives contain a variety of functional groups and may be microbiologically active, so the microbiological function of these derivatives in a variety of bacteria and fungi species was examined. In terms of the microorganism growth inhibition, the prepared compounds showed various levels of the activity. Antimicrobial properties have been discovered in newly synthesized derivatives. Density functional theory calculations of the synthesized coumarins were performed using molecular structures with optimized geometries.
The Essence of Fuel and Energy Consumptions to Stimulate MSMEs Industries and Exports: An Empirical Story for Indonesia

Economics and the environment are issues that never end for debate. As long as the two are not sustainable, they will continue to be highlighted in macroeconomic principles. In addition, economic growth (GDP) is not the only principal topic that is the focus of attention from academics, practitioners, and the government. The objectivity of this research is to dissect the relationship between coal consumptions, electricity consumptions, and oil consumptions on MSMEs and contributors of exports of goods and services in Indonesia. Path analysis supports the test instrument. We implement secondary data to cover seven periods (2014-2020). Regarding the research flow, there are three problem formulation packages that must be investigated, including two direct paths and mediation pathways. The identification results report several important inventions. Coal consumptions and oil consumptions have triggered a positive increase in MSMEs and contributors to exports of goods and services. From another scope, electricity consumption as empirical evidence that affects the contribution of exports of goods and services through MSMEs. The findings of this study provide valuable insights into the sustainability of the MSME industry, creating added value for Indonesian exports, without ignoring regulations related to fuel and energy.