Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Frequency Magnetic Field Exposure System for Cells Electromagnetic Biocompatibility Studies

The advancement in science and technology has resulted in the invention and widespread usage of many electrical devices in the daily lives of humans. The exponential use of modern electronic facilities has increased electromagnetic field exposure in the current population. Therefore, the presented article deals with designing, constructing, and testing a new applicator system developed for cells electromagnetic biocompatibility studies. The applicator system is intended for studying the non-thermal impacts of low-frequency magnetic field on cell cultures growth. Main attention is focused on increasing the capacity of the applicator and effectivity of the experiments. The key idea is to reach high level of the magnetic field homogeneity in an area of interest and the temperature stability during the biocompatibility studies. The applicator system is designed based on numerical simulations and its construction, measurements, and properties evaluation are also reported for proving the applicator’s functionality. The new applicator allows performing five parallel experiments at the same time under the same conditions. The simulation together with the experimental results confirm that the magnetic field homogeneity reaches 99% in the area of interest and the maximum temperature instability is lower than 2% during the experiments. The effectiveness of new applicator is tested and proved during preliminary experiments with Saccharomyces Cerevisiae cells. The observed effects of MF exposure represent maximal stimulation of 74% and maximal inhibition of 49%. The reason why MF with the same parameters induces inhibition in one sample and stimulation in the other will be the subject of further research.
Three neotropical bird species shift nest‐site preferences from swollen‐thorn acacias to other sites in human‐altered habitats

Nest location is a decision that presumably affects predation probability, thus, it directly impacts offspring survival. Those locations could be near animals that deter potential nest predators, like acacia ants. We tested whether the preference of three neotropical bird species (Icterus pustulatus, Tolmomyias sulphurescens and Pitangus sulphuratus) for nesting in swollen‐thorn acacias (Vachellia) shifted in human‐modified landscapes. Because natural predators deterred by ant‐defended acacias in protected forest may decrease or be replaced by other predators in human‐modified landscapes, we predicted a potential loss of preference for swollen‐thorn acacias in those landscapes. Swollen‐thorn acacias can be inhabited by defending Pseudomyrmex ants (ant‐defended acacias) or by non‐defending ants (non‐defended acacias). Hence, a preference for nesting on ant‐defended acacias was expected in natural habitats but not in anthropogenic habitats. All three bird species preferred to nest in swollen‐thorn acacias in forests, but only P. sulphuratus showed a preference for ant‐defended acacias. However, this nesting preference of all three species was lost in human‐modified landscapes, where birds switched to large trees, and included utility poles or power lines, although acacias remained a common species. The preference of P. sulphuratus for ant‐defended acacias in the forests was also lost in anthropic areas. The habitat‐dependent shift in preference for nesting trees indicates a potential change in the benefits of tree traits and the selective forces (e.g., predators) at those sites. Our results demonstrate that birds who seem strongly dependent on a tree when studied in natural habitats may shift their preferences in altered habitats.
Occupants' interaction with low-carbon retrofitted homes and its impact on energy use

Current regulatory and other policy trends in housing refurbishment relating to low-carbon performance standards tend to involve complex technologies and systems as well as innovative solutions to achieve 80p emissions reduction in line with the UK national target for 2050. Indicators of domestic energy performance tend to assume ideal performance of materials, complex systems and services, and that they are installed to high standards and under specific conditions, as well as rational occupant behaviour and interactions. Previous studies exploring the influence of socio-technical factors on the UK’s domestic energy use highlight that one of the main reasons for under-performance of individual projects is the lack of understanding of how people interact with domestic technology. Considering this, and given that there is still little evidence on deep refurbishments that implement low-carbon 'whole house' approaches in the UK, this research explored occupants' interaction with heating and ventilation measures as these were designed, installed and operated. The main concern was to identify the type of interactions that occur between occupants (social housing tenants) and building systems (mainly low-carbon heating and ventilation systems), and how that influences actual energy use. Using a sample of 26 social housing properties involved in the Retrofit for the Future competition in the UK, the study employed an socio-technical mixed methods approach, in which qualitative and quantitative empirical data were explored together, cross-checking occupants' 'doings' and 'sayings'. A combination of theories was used to analyse the complex interrelated factors involved in users’ interaction with building systems. The analysis identifies key factors that affect significantly occupants’ everyday practices and their interactions with the new measures: thermal comfort and pastexperiences with measures and controls; knowledge and skills (of both occupants and those involved in the project); design of the technical interventions (systems/measures) and quality of their installation. The findings from this research showed that active measures (such as intelligent and conventional heating controls, MVHR boosters, etc.) fostered direct interaction with active users when there were no design or installation faults. On the contrary, low-carbon measures that are designed and installed to be passive (such as MVHR systems operation) tend, in practice, to involve indirect interactions with active users. The research findings provide an insight into the 'in-use' factors, demonstrating to policy makers and implementers of mass refurbishment programmes the need for a framework where critical combinations of different measures and design solutions are targeted on specific house types, locations and households, in order to achieve maximum savings. Higher standards in installation of the new measures and improved quality control are also found to be a key part of refurbishment policies.
Achieving Competitive Advantage (CA) Through the Role of Training and Compensations Practices on Innovative Work Behavior (IWB): A Study in Jordan Islamic Banks

Effective training and compensation system are important for modern industries that aim to gain Competitive Advantage (CA) which is one of the key factors for companies’ survival . A skilled workforce that reflec innovative work behavior (IWB) are an important element for companies to remain competition. This study aims to determine the relationship between training, direct compensation, and IWB, and then analyze the effect of IWB on CA with the moderating effect of indirect compensation. This study had been analyzed using quantitative approach and SEM technique to test the hypothesis through a data collected from 219 respondents working at 3 Islamic banks in Jordan using an adopted questionnaire. The results showed that training had a positive and significant impact on IWB, direct compensation had an insignificant impact on IWB, and IWB positively affected CA. In contrast, the moderating effect of indirect compensation on the relationship between IWB and CA was also confirmed. However, this effect has negatively influenced the positive effect of IWB on CA. Further research may propsed another HRM practices, and may do a comparative study between Islamic and conventional banks.
Foliar Application of Salicylic Acid to Mitigate Water Stress in Tomato

Salicylic acid (SA) is an important plant regulator reported as a mitigator of water deficit in plants, however without a recommendation for use in field conditions. Thus, this research aims to validate the use of SA under field conditions in regions with low water availability. For that, we evaluated CO2 assimilation (A), stomatal conductance (gs), transpiration (E), water use efficiency (WUE), and carboxylation efficiency (A/Ci) at 15, 30, and 45 days of continuous stress water deficit, as well as the application of salicylic acid (0.0; 0.5; 1.0; 1.5; 2.0 mM) in tomato plants subjected to continuous water deficit (45 days), in two years (2019 and 2020). The water deficit reduced the A, gs, E and A/Ci, while the foliar application of SA increased these parameters in all evaluated times, resulting in similar or even higher values than in plants without water deficit. Water deficit caused floral abortion in tomato plants, without the application of SA, reducing the number of fruit production. In contrast, plants that received about 1.3 mM of SA increased A and A/Ci and translocated the photo-assimilates, mainly to flowers and fruits, reducing floral abortion and increasing fruit production. Thus, foliar application of SA was efficient in mitigating the deleterious effects of water deficit in tomato plants regarding the gas exchange and fruit production.
AN EFFICIENT METHOD FOR RURAL ELECTRIFICATION GRID DESIGN

This paper investigates the optimization of the electricity grid network in rural community of Chegutu district, in Zimbabwe. The Kruskal’s algorithm is used for the minimum spanning tree to carry out the optimization process.The project seeks to find how a network with a number of possible connections can have the least possible distance. The main objective of the optimization procedure is to minimize the total distance of the network connections, so as to minimize resources that are used when carrying out projects. Rural Electrification Agency has been failing to meet their targets for extension of the electricity grid network because of shortage of resources and input capital, thus the researcher adopts the idea of network optimization as a way of saving resources so that they can be used for other projects. The researcher used the algorithm to carry out the manual computation of the optimization process and also used C sharp programming language to create a code that is able to minimize the total distance of the network. In this dissertation the Kruskal’s algorithm has been translated into a simple model that can be easily used to map distances between nodes and vertices. The model presented in this dissertation help network service providers such as electricity, telephone and information technology to optimize their network resources so as to save money and resources for other uses in the future. The optimisation process shows that a total of 74km of 11kV power line could be saved from the network.
Ripeness Prediction in Table Grape Cultivars by Using a Portable NIR Device

In the past years, near infrared (NIR) spectroscopy has been applied to the agricultural industry as a non-destructive tool to predict quality parameters, e.g., ripeness of fruit, dry matter content, and acidity. In two years, 2019 and 2020, berries of four table grape cultivars (Cotton Candy™, Summer Royal, Allison™, and Autumncrisp®) were collected during the season to obtain spectral measurements and quality data for developing predictive models based on NIR spectroscopy to be practically used in the vineyard. A SCiO™ sensor was used in 2019 for predicting the ripening parameters of Cotton Candy™; in particular, total soluble solids (TSS) (R2 = 0.95; RMSE = 0.60, RPD = 13.13), titratable acidity (R2 = 0.97; RMSE = 0.40, RPD = 7.31), and pH (R2 = 0.96; RMSE = 0.07, RPD = 26.06). With these promising results, in the year 2020, the above-mentioned table grape cultivars were all tested for TSS prediction with successful outcomes: Cotton Candy™ (R2 = 0.97; RMSE = 0.68, RPD = 7.48), Summer Royal (R2 = 0.96; RMSE = 0.83, RPD = 7.13), Allison™ (R2 = 0.97; RMSE = 0.72, RPD = 8.70) and Autumncrisp® (R2 = 0.96; RMSE = 0.60, RPD = 9.73). In conclusion, a rapid and economic sensor such as the SCiO™ device can enable a practical application in the vineyard to assess ripening (quality) parameters of table grapes. Thus, this device or similar ones can be also used for a fast sorting and screening of quality throughout the supply chain, from vineyard to cold storage.
The Analysis of Imagery Aspects and Translation Strategies of Joko Pinurbo’s Poetry Anthology

This study aims at describing imagery aspects and their English translation strategy in the poetry anthology “Celana” by Joko Pinurbo. The method of research is descriptive and qualitative. This study describes and analyses the imagery aspects of the poetry anthology “Celana” by Joko Pinurbo; Night Raid, Patrol, and Calvary. The subject of the research is the text which contains imagery aspects. In gathering the data, the researcher collected the data by using library research as well as documentation analysis focusing on the imagery aspects from the poetries. The analysis of the translation strategy used Chesterman’s translation strategy. The results of the study based on data analysis showed 1) the imageries found in the three poetries by Joko Pinurbo are visual imagery, auditory imagery, and kinesthetic imagery. The dominant one is visual imagery, 2) The translation strategies found in the English translation by Harry Aveling are explicitness change, literal translation, compression, expansion strategy, cultural filtering (adaptation), level shift, paraphrase, transposition, and information change (addition). The most dominant imagery is visual imagery, and the most dominant strategy is the literal translation strategy.
Impacts of the China Securities Investor Services Center's Shareholding Exercise on Audit Fees

Protecting the legitimate rights and interests of small and medium investors is the basis of the sustainable and healthy development of the capital market. The shareholding exercise pilot policy of China Securities Investor Services Center is a major innovation in the protection mechanism of investors' rights and interests. Taking A-share listed companies from 2013 to 2017 as the sample, this paper constructs a difference-in-difference model (DID) to test the impacts of Investor Services Center's shareholding exercise on audit fees of listed companies. The study finds that the Investor Services Center's shareholding exercise significantly reduces the audit fees. The mechanism test results show that Investor Services Center's shareholding exercise can reduce the audit fees by restraining the level of accrued earnings management and agency costs. Further analyses show that the effect of reducing audit fees by Investor Services Center's shareholding exercise is more obvious in larger enterprises with lower proportion of independent directors. This paper enriches the research related to the protection of small and medium-sized investors, clarifies the impact mechanism of investor protection on audit fees, expands the relevant research on the influencing factors of audit fees, and provides theoretical support and suggestions for the relevant policy formulation of the China Securities Investor Services Center.
Propranolol Administration Modulates Neural Activity in the Hippocampal Hilus During Fear Retrieval

Altered fear learning is a strong behavioral component of anxiety disorders such as post-traumatic stress disorder (PTSD). Recent efforts have attempted to combine exposure therapies with drugs that target fear memory retrieval and memory reconsolidation, in order to improve treatment efficacy. The noradrenergic (NA) signaling system is of particular interest, due to its role in regulating the stress response and its involvement in fear and learning processes. Importantly, propranolol (P), a non-selective β-adrenergic antagonist, has shown the potential in decreasing exaggerated fear in both humans and animal models. In a previous study, we utilized an activity-dependent tagging murine model to determine the neural mechanisms by which propranolol attenuates learned fear. We found that propranolol acutely decreased memory trace reactivation specifically in the dorsal dentate gyrus (dDG), but not in CA3 or CA1. Here, we extended our previous study by investigating whether propranolol additionally altered activity in the hilus, a polymorphic layer that consists of neurons, mossy cells, and GABAergic interneurons. We found that propranolol acutely reduced overall hilar activity in both the dorsal and ventral hilus. Moreover, we report that propranolol significantly altered the activity of parvalbumin (PV)+ cells in the ventral (vDG), but not dorsal DG (dDG). Together, these results suggest that a β-adrenergic blockade may affect the activity of excitatory and inhibitory cell types in the hilar layer of the DG, and that these alterations may contribute to manipulating fear memory traces.
KRAS Mutation: Characterization and Its Impact on Survival Outcome of Patients with Metastatic Colorectal Cancer.

INTRODUCTION Colorectal cancer (CRC) is one of the most common cancer types, with rising incidence due to imbalanced lifestyle and dietary habit. Association between CRC cases and KRAS mutation has been established recently. Brunei Darussalam, located within the Borneo island, is of diverse ethnicity which could represent the genome of Southeast Asia population. Our study, for the first time, determined the survival outcome of metastatic colorectal cancer (mCRC) and established the link with KRAS mutation by modelling the population in Brunei Darussalam. METHODS We collected data of 76 metastatic CRC (mCRC) patients undergoing treatment at The Brunei Cancer Centre, the national centre for cancer treatment in Brunei. These patients were diagnosed with Stage 4 CRC between 1 January 2013 and 31 December 2017. Age, gender, ethnicity, date of diagnosis, site of primary tumour, metastatic sites and molecular analysis of KRAS mutation status (either KRAS mutated or KRAS wild-type) of tumour were recorded. The survival outcomes of these mCRC patients were analysed. RESULTS The end of this study period recorded 73.1% deceased mutant KRAS mCRC patients and 46.0% deceased wild-type KRAS mCRC patients, contributing to death rates of 45.2% and 54.8%, correspondingly. Chi-squared analysis showed a significant difference between the survival outcomes of wild-type KRAS and mutant KRAS mCRC patients (p-value = 0.024). CONCLUSIONS There is a significant difference between the survival outcomes of wild-type KRAS and mutant KRAS mCRC patients in the Brunei population. In addition, we found that mutations in codon 12 of KRAS gene on mutant KRAS mCRC patients have shorter survival median periods than those with mutations within codon 13 of KRAS gene. This is the first study in Brunei Darussalam to analyse both the survival outcomes of mCRC patients and those of mutant KRAS mCRC patients.
Centella asiatica L. Urban protects against morphological aberrations induced by chronic unpredictable mild stress in rat’s hippocampus via attenuation of oxidative stress

ABSTRACT The present study evaluated the effect of Centella asiatica L. Urban (CA) extracts on ultrastructure and oxidative stress parameters on chronic unpredictable mild stress (CUMS) rat’s hippocampi. Rats were divided into six groups (n=6) and treated as follows: Group 1, Unstressed + normal saline (control); Group 2, CUMS + normal saline (Model); Group 3, CUMS + Flx (10 mg/kg) (FLX); Groups 4, CUMS + CA (200 mg/kg) (CA 200); Group 5, CUMS + CA (400 mg/kg) (CA 400) and Group 6, CUMS + CA (800 mg/kg) (CA 800). Nine different stressors were administered to the rats for 8 weeks consecutively, with concurrent administration of fluoxetine or CA. The hippocampi of the rats were evaluated by transmission electron microscopy (TEM) and oxidative stress biomarkers were also determined. Qualitative TEM results showed defective mitochondria, nucleus, myelin sheaths and reduced numbers of synapses in CUMS rats as well as increased oxidative stress biomarkers. Administration of CA prevented some of the structural and biochemical aberrations observed in response to stress in a manner comparable with fluoxetine, a selective serotonin-reuptake inhibitor. Conclusively, CA ameliorates structural defects induced by CUMS in the rat hippocampus, with a potential therapeutic importance in the treatment of stress and depression.
Modified EDAS Method for MAGDM Based on MSM Operators with 2-Tuple Linguistic 
 T
 -Spherical Fuzzy Sets

The coronavirus (COVID-19) pandemic, which began in China and is fast spreading around the world, has increased the number of cases and deaths. Governments have suffered substantial damage and losses not only in the health sector but also in a variety of other areas. In this situation, it is critical to determine the most crucial vaccine that doctors and specialists should implement. In order to evaluate the many vaccines to control the COVID-19 epidemic, a decision problem based on the decisions of many experts, with some contradicting and multiple criteria, should be taken into account. This decision process is characterized as a multiattribute group decision-making (MAGDM) problem that includes uncertainty in this study. T -spherical fuzzy sets are utilized for this, allowing decision-experts to make evaluations over a larger area and better deal with complicated data. The T -spherical fuzzy set is a useful tool for dealing with uncertainty and ambiguity, especially where additional answers of the type “yes,” “no,” “abstain,” and “refusal” are required, and the 2-tuple linguistic terms are useful for the qualitative evaluation of uncertain data. From the perspective of the uncertainty surrounding the problems of MAGDM, we propose the notion of 2-tuple linguistic T -spherical fuzzy numbers (2TL T -SFNs) generated with the integration of T -spherical fuzzy numbers and 2-tuple linguistic terms. Then, the assessment based on distance from average solution (EDAS) for the ranking of alternatives based on the 2TL T -SFNs is investigated as a new decision-making strategy. This study provides the following significant contributions: (1) the procedure for constructing a 2TL T -SFNs is described, together with their aggregation operators, ranking criteria, relevant attributes, and some operational laws. (2) The traditional Maclaurin symmetric mean (MSM) operator is useful for modeling attribute interrelationships and aggregating 2TL T -SF information to tackle the MAGDM problems. A few recent MSM and dual MSM operators are being built to evaluate the 2TL T -SF information. Thus, 2-tuple linguistic T -spherical fuzzy Maclaurin symmetric mean (2TL T -SFMSM) operator, 2-tuple linguistic T -spherical fuzzy weighted Maclaurin symmetric mean (2TL T -SFWMSM) operator, 2-tuple linguistic T -spherical fuzzy dual Maclaurin symmetric mean (2TL T -SFDMSM) operator, and 2-tuple linguistic T -spherical fuzzy weighted dual Maclaurin symmetric mean (2TL T -SFWDMSM) operator are proposed. (3) We incorporate the 2TL T -SFNs into the EDAS approach and develop a new 2TL T -SF-EDAS method for solving the MAGDM problems based on the proposed aggregation operators in a 2TL T -SF environment. A case study for the selection of an optimal vaccine to control the outbreak of the COVID-19 epidemic is also presented to show the validity of the proposed methodology. Furthermore, the comparative analysis with existing approaches shows the advantages and superiority of the proposed framework.