Miracle-dz/UniFAR-FTUs huggingface dataset:
What is energy efficient light

9 INTRODUCTION . 10 1. The multiplicity of light . 12 1.1. Lighting as a legislative matter . 12 1.2. Lighting as an energy consuming phenomenon: a matter of substitution or something else? 14 1.3. The social aspects of lighting . 16 2. Approaching the problem . 18 RESEARCH QUESTIONS & READING GUIDE . 22 PART 1: ZOOMING IN ON LIGHTING AND PRACTICES . 23 3. Theoretical approach for zooming in on practices related to lighting . 23 3.1. Practices in relation to consumption . 23 3.2. Elements of practice . 24 3.3. Connections and intersections between practices . 25 3.4. Changing practices? 25 3.5. Lighting and practices? 27 4. Methodological approach for zooming in on practices related to lighting . 27 4.1. The ethnographic interview . 27 4.1.1 Ethnographic questions . 29 4.1.2 The interview guide . 29 4.2. Local accomplishments through case studies . 30 4.2. 1. The cases and the interviewees names – ethical considerations. 30 4.2. 2. Getting to the informants . 32 5. Results and discussion of zooming in on local accomplishments of practice related to lighting. 32 5.1. Presentation and discussion of the paper 1 on lighting throuhg a social practice perspective and policy implications . 32 5.2. Presentation and discussion of paper 2 on sharing conventions for energy efficient lighting solutions . 33
SaBrcada: Survival Intervals Prediction for Breast Cancer Patients by Dimension Raising and Age Stratification

Simple Summary Accurate prediction of the survival of bracer cancer will benefit appropriate medical decision-making and patient care. In this study, the breast cancer RNA sequencing (RNA-Seq) data in The Cancer Genome Atlas (TCGA) was first normalized to transcripts per million (TPM). After dimension raising, the differential gene expression data were used for different deep learning architectures testing. Among them, GoogLeNet was selected to build the survival prediction model, SaBrcada. Considering the influence of age on prognosis, it was found that adding stratified random sampling by the patient’s age of 61 could improve the accuracy of SaBrcada up to 0.798. In addition, a website tool of the same name, SaBrcada, was established to provide five kinds of predicted survival periods for clinicians to refer to. Abstract (1) Background: Breast cancer is the second leading cause of cancer death among women. The accurate prediction of survival intervals will help physicians make informed decisions about treatment strategies or the use of palliative care. (2) Methods: Gene expression is predictive and correlates to patient prognosis. To establish a reliable prediction tool, we collected a total of 1187 RNA-seq data points from breast cancer patients (median age 58 years) in Fragments Per Kilobase Million (FPKM) format from the TCGA database. Among them, we selected 144 patients with date of death information to establish the SaBrcada-AD dataset. We first normalized the SaBrcada-AD dataset to TPM to build the survival prediction model SaBrcada. After normalization and dimension raising, we used the differential gene expression data to test eight different deep learning architectures. Considering the effect of age on prognosis, we also performed a stratified random sampling test on all ages between the lower and upper quartiles of patient age, 48 and 69 years; (3) Results: Stratifying by age 61, the performance of SaBrcada built by GoogLeNet was improved to a highest accuracy of 0.798. We also built a free website tool to provide five predicted survival periods: within six months, six months to one year, one to three years, three to five years, or over five years, for clinician reference. (4) Conclusions: We built the prediction model, SaBrcada, and the website tool of the same name for breast cancer survival analysis. Through these models and tools, clinicians will be provided with survival interval information as a basis for formulating precision medicine.
Public perceptions of heat decarbonization in Great Britain

Heating contributes significant carbon emissions, especially in countries that rely heavily on natural gas as in the UK. Switching to low‐carbon heating is imperative for reaching international climate change targets. Understanding public perceptions and acceptance of low‐carbon heating systems is a crucial part of the successful rollout of alternatives. This review examines public perceptions of different low‐carbon heating technologies, namely heat pumps, hydrogen boilers, hybrid heating systems, and district heating, as well as social factors such as heat experiences. The review focuses on the UK as a case study, which is characterized by high reliance on natural gas for heating with little progress to decarbonize this sector to date. The next years will be critical regarding decision‐making on what low‐carbon heating technologies to pursue. The review shows there is generally low awareness amongst the general public of the need to decarbonize heating and of the low‐carbon heating alternatives. A number of factors have been identified as playing a crucial role in influencing public perceptions of all low‐carbon heating systems, such as installation and running cost, thermal comfort, disruption, level of control, and environmental benefits. However, the acceptance of a new heating system is not simply the sum of several factors, as people's priorities vary across different contexts and technologies. Further public engagement on low‐carbon heating and support (e.g., financial) is necessary for increasing uptake. Future research could explore comparisons between the different low‐carbon heating technologies, key enabling factors, trade‐offs, and concrete policy support.
Biology, Germination Ecology, and Shade Tolerance of Alkaliweed (Cressa truxillensis) and Its Response to Common Postemergence Herbicides

Alkaliweed (Cressa truxillensis) is a native perennial plant of the western USA and in California, they are found primarily in saline and alkaline soils. Lately, it has been observed in Central Valley pistachio, olive, and almond orchards as a problematic species. Very little information is available on the effect of environmental factors on germination, shade tolerance, and the response of this species to herbicides. Therefore, studies were conducted to assess the effect of environmental factors (water potential, salinity, and pH) on seed germination, the influence of shade (30% shade 70% shade, and no shade) on aboveground growth, and the response of alkaliweed to common registered post-emergent herbicides. Results showed that the seeds were moderately tolerant to drought but highly adapted to salinity and pH as germination occurred up to an electrical conductivity level of 20 dS m−1 and pH range of 5 to 9. Both shade levels reduced aboveground growth and formation of reproductive structures. None of the postemergence herbicides provided adequate control of the plants. Therefore, an integrated management plan needs to be developed for alkaliweed control in Central Valley orchards.
Improving high school students' performance in basic calculus using the Enhancing Mastery & Expertise in Mathematics supplementary material

Preparing K-12 students to gear up for higher mathematics and sciences, and to be more mathematically college-ready, teachers were given the essential role in bridging the learning gaps. One way to address this was the utilization of modules. The researcher developed Enhancing Mastery & Expertise in Mathematics (EM&EM) module in Basic Calculus. The objective of this quasi-experimental research was to evaluate the effectiveness of the EM&EM module in improving students' performance about the theorems of differentiation. The experimental and comparison groups comprised forty-six (46) Grade 11 students who used the EM&EM module and the DepEd module, respectively. The instruments used in the study were the pretest, formative tests, and posttest found in the EM&EM module. Mean and standard deviation were used to describe student performance in these assessments. To see if a significant difference existed, the formative test and posttest scores between the two groups were analyzed using an independent t-test, while the pretest and posttest scores within each group were analyzed using a paired sample t-test. The findings showed that the experimental and comparison groups' formative tests and posttest scores did not differ significantly, although the former generally performed better when their mean scores were compared. However, there was a significant difference between the two groups' pretest and posttest scores, and that had a large positive effect on their improvement. Therefore, just like the DepEd module, the EM&EM module was effective in facilitating the learning process. Overall, the EM&EM module significantly and substantially enhanced students' learning of Basic Calculus.
Supply–demand hub in industrial clusters: a stochastic approach

ABSTRACT The relationships between supply chain management and industrial clusters (groups of similar and interconnected companies in a particular field located in the same geographical area) have been imperfectly mathematically investigated so far, despite their intrinsic correlation. A supply–demand hub in industrial clusters (SDHIC) as a public provider of logistics services, managed by a third party logistics provider, is proposed to minimize total costs. The activities of companies within an industrial cluster are first modelled in terms of a two-stage stochastic programming model and then an acceleration technique for the Benders decomposition (BD) algorithm is proposed. To evaluate the effects of the accelerating method, four versions of BD are developed. To show the applicability of the proposed model, a case study including a sensitivity analysis of its main parameters is presented. Lastly, several managerial insights are offered.
Acetic acid positively modulates proline metabolism for mitigating PEG-mediated drought stress in Maize and Arabidopsis

Introduction Osmotic imbalance is one of the major consequences of drought stress, negatively affecting plant growth and productivity. Acetic acid has modulatory roles in osmotic balance in plants; however, the mechanistic insights into acetic acid-mediated osmotic adjustment under drought stress remains largely unknown. Methods Here, we investigated how seed priming and seedling root treatment with acetic acid enabled maize plants overcoming polyethylene glycol (PEG)-induced drought effects. Results Maize seeds primed with acetic acid showed better growth performance when compared with unprimed seeds under PEG application. This growth performance was mainly attributed to improved growth traits, such as fresh weight, dry weight, length of shoots and roots, and several leaf spectral indices, including normalized difference vegetation index (NDVI) and chlorophyll absorption in reflectance index (MCARI). The levels of oxidative stress indicators hydrogen peroxide (H2O2) and malondialdehyde (MDA) did not alter significantly among the treatments, but proline content as well as the expression of proline biosynthetic gene, Δ1-PYRROLINE-5-CARBOXYLATE SYNTHETASE 1 (P5CS1) was significantly elevated in plants receiving acetic acid under PEG-treatments. On the other hand, treating the seedlings root with acetic acid led to a significant recovery of maize plants from drought-induced wilting. Although growth traits remained unchanged among the treatments, the enhancement of leaf water content, photosynthetic rate, proline level, expression of P5CS1, and antioxidant enzyme activities along with reduced level of H2O2 and MDA in acetic acid-supplemented drought plants indicated a positive regulatory role of acetic acid in maize tolerance to drought. Moreover, the high expression of P5CS1 and the subsequent elevation of proline level upon acetic acid application were further validated using wild type and proline biosynthetic mutant p5cs1 of Arabidopsis. Results showed that acetic acid application enabled wild type plants to maintain better phenotypic appearance and recovery from drought stress than p5cs1 plants, suggesting a crosstalk between acetic acid and proline metabolism in plants under drought stress. Discussion Our results highlight the molecular and intrinsic mechanisms of acetic acid conferring plant tolerance to drought stress.
Detection of Epstein-Barr Nuclear Antigen (EBNA) IgM among healthcare workers in some selected hospitals in Rivers State, Nigeria

Several diseases are associated with Epstein-Barr virus (EBV) and they can be life-threatening, especially in immunocompromised individuals. Moreover, there are no well-established EBV prevention and control strategies in Nigeria. Therefore, this study was carried out to assess the prevalence of Epstein-Barr (EBNA) IgM antibody among Public Health Workers in Port-Harcourt, Nigeria. A cross-sectional survey was adopted to randomly analyze 94 public healthcare workers (HCWs) working in a public health centre in Rivers State, Nigeria. Enzyme-Linked Immunosorbent Assay (ELISA) was used to analyze EBNA IgM antibodies in the samples obtained. Chi-Square analysis was used to determine the association of the infection with socio-demographic factors. Overall, 3 patients were seropositive for EBNA IgM, constituting 3.1% of the sample while 91 (97.8%) were observed to be seronegative for EBNA IgM antibody. Reactivity of Epstein–Barr virus did not differ significantly as regards sex distribution, but it was significant with regards to marital status and professional cadre in the health care facility. Sera EBNA IgM positivity was highest in the age group >40 (9.5%) followed by the age group 18-29 (5%), single (4%), married (3.2%), male (9.5%), female (1.3%). This study confirms the presence of Epstein-Barr virus primary infection among public health workers in Port-Harcourt, and an onward risk of infectious mononucleosis. This finding, therefore, alerts us to the establishment of surveillance programs for the detection, treatment and control of EBV in Port-Harcourt and Nigeria at large.
Spontaneous Abdominal Wall Hematoma Treated with Percutaneous Transarterial Embolization: Diagnostic Findings, Procedural Outcome, and Efficacy—A Multicenter Study

Endovascular management of abdominal wall hematomas (AWHs) is now the primary treatment option in hemodynamically stable patients, and it is often preferred to surgical interventions. The purpose of this multicentric study was to assess the safety, technical, and clinical success of percutaneous transarterial embolization (PTAE) of spontaneous AWHs to evaluate the efficacy of blind or empiric embolization compared to targeted embolization and to compare the outcome of the endovascular treatment approach in patients affected by COVID-19 and non-COVID-19 patients. We retrospectively enrolled 112 patients with spontaneous AWHs who underwent PTAE, focusing on signs of bleeding at pre-procedural CTA and DSA. Patients were separated into two groups depending on whether a blind or targeted embolization approach was used. We also divided patients into COVID-19 and non-COVID-19 groups. The mean age of the study population was 68.6 ± 15.8 years. CTA and DSA revealed signs of active bleeding in 99 and 88 patients, respectively. In 21 patients, blind embolization was performed. The overall technical success rate was 99%. Clinical success was obtained in 96 patients (86%), while 16 (14%) re-bled within 96 h. One patient reported a major peri-procedural complication. The comparison between blind and targeted embolization approaches showed no statistically significant differences in the characteristics of groups and technical and clinical success rates. No significant differences were found in the procedural outcome between COVID-19 and non-COVID-19 groups. Our study confirmed that PTAE is effective for treating spontaneous AWHs, even in COVID-19 patients. It suggests that the efficacy and safety of blind embolization are comparable to targeted embolization.
The structural and dielectric properties of lanthanum substituted strontium based spinel ferrites nano-materials for high frequency device applications

Lanthanum substitution on spinel Nano particles has a significant repercussion on the several features of materials. Sol–gel (auto-ignition) allowed for the substitution of the rare earth lanthanum ion (La3+) for spinel ferrite with composition SrLaxFe2-xO4 (where 0.00 x 0.10). As a result of the base’s presence, the systems structural, magnetic, electrical, and magnetic properties are all modified. X-ray diffraction (XRD) assessed the structural characteristics. Using X-ray diffraction, we could determine that each sample had cubic structures. Based on electrical investigation, it can be concluded that the synthesized ferrites are semiconductors, as their direct current (dc) resistivity reduces with increasing temperature. The Curie temperature (Tc ) was lowered from 532 K to 462 K with the substitution of lanthanum ions. The values for activation energy increased from 0.24 eV to 0.38 eV when lanthanum is used as a substitute. The values of magnetization decreased from 50 eV to 27 eV as lanthanum content rose. We could see the gentleness of the material in M-H loops. All these parameters show that the prepared sample is a potential material for use in high-frequency applications.
COMPARISON OF ORAL HEALTH STATUS AMONG STUDENTS OF PUBLIC AND PRIVATE SECTOR SCHOOLS

Current study aimed to explore the prevalence of dental problems including dental caries among 12 years old students studying in public and private sector schools in Pakistan. 677 students were recruited in the study from 2 private and 2 public sector schools of Lahore. Significant difference between students of public and private schools was found in terms of prevalence of dental caries (X2= 35.094, P<.001). Significant difference between students of public and private schools was found in terms of scaling requirement X2=54.778, P<. 001). Significant difference between students of public and private schools was found in terms of gum bleeding (X2=35.245, P<.001). Significant difference between students of public and private schools was not found in terms of Plaque accumulation (X2=54.778, P<.001). Significant difference between students of public and private schools was found in terms of fluorosis (X2=44.557, P<.001). In conclusion, dental caries and fluorosis was found higher among school going students in Lahore.
Assessment Of Post-Harvest Losses On Soybeans Profitability In Three Sectors Of Nyagatare District Of Rwanda

This study used quantitative and qualitative analysis to analyze the effects of post-harvest losses on soybeans productivity and farmers' income. It was conducted in Nyagatare District of Rwanda with a sample size of 120 farmers, 61.7% male and 38.3% female. The study aimed to examine the factor influencing soybeans post-harvest losses and determine the impact of post-harvest losses on farmer’s income generated from soybeans production. Data was collected using questionnaires and interview methods with a sample size of 120 soybeans farmers.The researcher used a Multiple Linear regression model to identify post-harvest losses in the research region, which were influenced by a number of variables. The model was deemed significant at the 5% threshold of significance for all 11 variables used. 99 (82.5%) of the respondents had experienced postharvest losses in the previous season of 2022A, compared to 21 (17.5%) who had not experienced any.This study examines scientific approaches such as modern soybean production and harvesting methods, developed transportation and storage facilities, and outreach to minimize losses and maximize profits. Postharvest activities such as processing and marketing are also recommended to maximize profits. Results show that for every 1 ton of soybeans harvested, the farmer lost an average of 6.703Kg/ton, reducing their average income by 4,124Rwf/ton.Keywords: Postharvest losses, Income, Soybeans, farmers, production, Profitability. Corresponding Author: NSHIMYUMUREMYI Vincent, vincentnshimye@gmail.com, Phon. : +250788603095
Investigating EFL students’ self-directed learning: Evidence from a state university during Covid-19 pandemic

Self-Directed Learning (SDL) occupies a strong position in language education in many countries. Yet, little evidence has been given on this approach among English majors in the setting of Vietnam. The current cross-sectional study, therefore, is an effort to fill up the gap by exploring students’ levels of self-directedness in learning and their correlation with academic performance at a state university. The study employed the Self-Rating Scale of Self-Directed Learning (SRSSDL) with five domains consisting of 60 items developed by Williamson (2007) to get responses from 90 English-majored students of 04 cohorts. The data were then analyzed through SPSS, using Independent-sample T-test and One-way ANOVA. Results of the study evidenced that (1) Investigated students were found to be at moderate and high levels of SDL, (2) No difference in SDL scores was found between male and female students, (3) No considerable difference in SDL scores was found among students of different academic years in the same program, (4) There was a direct correlation between students’ SDL level and their academic performance. Based on the findings, recommendations are well elaborated as references for teachers who are considering leveraging their students’ self-directedness in learning. The study hopefully contributes to the existing literature on self-directed learning in language education.
The Analysis of Fraudulent Financial Statements Prevention Using Hexagon’s Fraud and Government Internal Auditor as Moderating Variable in Local Government in Indonesia

Abstract This study aims to examine the six components of hexagon fraud which include: financial pressure, change of leadership, whistleblowing system, auditor opinion, education of head government and procurement system to fraudulent financial statements that occur in local government in Indonesia. In addition, this study also places the APIP (Government Internal Supervisory Apparatus) as a moderating variable. This study uses data from 1,419 financial statements in local government in Indonesia during the 2018–2020 period. The sampling technique is purposive sampling with the judgment sampling method. The research hypothesis was tested using Ordinary Least Squares regression. The results of the study show that only financial pressure and auditor opinion have a significant effect on fraudulent financial statements in local governments in Indonesia. In addition, evidence was found that APIP moderated the relationship between financial pressure and auditor opinion with fraudulent financial statements. This shows that APIP plays a role in mitigating fraudulent financial statements. This research is the first to test the hexagon theory to the financial statements environment in local government in Indonesia which contributes to integrating the role of APIP as a form of preventing financial statement fraud.