Miracle-dz/UniFAR-FTUs huggingface dataset:
Error Compensation Enhanced Day-Ahead Electricity Price Forecasting

The evolution of electricity markets has led to increasingly complex energy trading dynamics and the integration of renewable energy sources as well as the influence of several external market factors contributed towards price volatility. Therefore, day-ahead electricity price forecasting models, typically using some kind of neural network, play a crucial role in the optimal behavior of market agents. The most prominent models and benchmarks rely on improving the accuracy of predictions and the time for convergence by some sort of a priori processing of the dataset that is used for the training of the neural network, such as hyperparameter tuning and feature selection techniques. What has been overlooked so far is the possible benefit of a posteriori processing, which would consider the effects of parameters that could refine the predictions once they have been made. Such a parameter is the estimation of the residual training error. In this study, we investigate the effect of residual training error estimation for the day-ahead price forecasting task and propose an error compensation deep neural network model (ERC–DNN) that focuses on the minimization of prediction error, while reinforcing error stability through the integration of an autoregression module. The experiments on the Nord Pool power market indicated that this approach yields improved error metrics when compared to the baseline deep learning structure in different training scenarios, and the refined predictions for each hourly sequence shared a more stable error profile. The proposed method contributes towards the development of more flexible hybrid neural network models and the potential integration of the error estimation module in future benchmarks, given a small and interpretable set of hyperparameters.
ASSESSMENT OF GENETIC VARIATION IN WILD MYRTLE (MYRTUS COMMUNIS L.) GENOTYPES GROWING AROUND THE MEDITERRANEAN REGION OF TURKEY

Myrtle (Myrtus communis) grows naturally on the Mediterranean coast and the Aegean region of Turkey and is used as medicine, food and ornamental plant. Availability of genetic resources with genetic diversity constitutes an important material for researching genes that may be needed in future breeding studies. The goal of this study was to analyze the genetic diversity of the myrtle genotypes in order to develop further cultivation, regeneration or breeding strategies. Nine traits (length, width, weight and color of the fruit, number of seeds, weight of seeds, pulp weight, length, and width of the leaf) were evaluated. PCR amplification was performed using Simple Sequence Repeats (SSR) and InterPrimer Binding (iPBS) primers. The variation was found between genotypes in terms of the morphological characters considered. Using molecular analyses, the genetic diversity among the genotypes was determined based on the 64 SSR and 80 polymorphic iPBS bands. The genetic variation obtained by morphological and molecular analyses shows that these genotypes may be useful for future breeding and cultivation practices and can be considered as valuable genetic resources. It has also been shown that some of the iPBS primers were highly polymorphic and can be used in phylogenetic analyzes and mapping studies of myrtle.
The five factor model of personality as predictor of online shopping: Analyzing data from a large representative sample of Swedish internet users

Abstract Using a large representative sample of the Swedish population, the present study aimed to explore the relationship between the Five Factor Model (FFM) of personality and frequency of online shopping. On three different occasions, surveys were sent out to 9,000 Swedish residents using a systematic random sampling procedure. In total, 5,238 individuals responded to the survey which, inter alia, included measures of the FFM of personality (i.e., HP5i, 15 items) and online shopping. A confirmatory factor analysis confirmed the construct validity of the HP5i. To examine whether and to what extent the FFM predicted self-reported frequency of online shopping, a hierarchical regression analysis was conducted in which gender and age were used as control variables. Our findings indicated that online shopping was positively associated with Openness to experience (i.e., openness to feelings) and Extraversion (i.e., hedonic capacity), and negatively associated with Conscientiousness (i.e., a high degree of impulsiveness). These results suggest that online shoppers are affective, hedonic, and impulsive; that is, characteristics that contrast with the classical view of online shoppers as cognitive, utilitarian, and goal-directed. We argue that these results, alongside the use of a large representative sample and frequency of online purchase, are a needed addition to previous research as previous research studies mainly have focused on the intention or motivation to online shopping using smaller non-representative samples. Implications for online retailers and society as well as directions for future research are discussed.
Intensity and Dynamics of Anti-SARS-CoV-2 Immune Responses after BNT162b2 mRNA Vaccination: Implications for Public Health Vaccination Strategies

The aim of our study was to investigate the immunogenicity of the BNT162b2 vaccination according to the age and medical status of vaccinated individuals. A total of 511 individuals were enrolled (median age: 54.0 years, range: 19–105); 509 of these individuals (99.6%) received two doses of BNT162b2 at an interval of 21 days. IgG and IgA responses were evaluated on days 21, 42, 90, and 180 after the first dose with chemiluminescent microparticle and ELISA assays. The cell-mediated immune responses were assessed by an automated interferon-gamma release assay. We demonstrated positive antibody responses after vaccination for the majority of enrolled participants, although waning of IgG and IgA titers was also observed over time. We further observed that the intensity of humoral responses was positively correlated with increased age and prior COVID-19 infection (either before or after the first vaccination). Moreover, we found that only a medical history of autoimmune disease could affect the intensity of IgA and IgG responses (3 weeks after the primary and secondary immunization, respectively), while development of systemic adverse reactions after the second vaccination dose was significantly associated with the height of IgG responses. Finally, we identified a clear correlation between humoral and cellular responses, suggesting that the study of cellular responses is not required as a routine laboratory test after vaccination. Our results provide useful information about the immunogenicity of COVID-19 vaccination with significant implications for public health vaccination strategies.
Improving Asthma Management: Patient–Pharmacist Partnership Program in Enhancing Therapy Adherence

Community pharmacist interventions can assist in improving adherence in patients with asthma. The objective of the study was to assess the feasibility of patient-centered counseling using the developed asthma-specific tools to identify barriers to adherence and identify their preliminary effect on adherence barrier score and asthma control. Adult patients with persistent asthma were invited to participate in a 3-month pre–post intervention study involving community pharmacist-provided patient-centered counseling. Bivariate analyses were conducted to determine whether there were changes in outcomes from the pre to post period. Of 36 recruited patients, 17 completed both pre and post surveys. At baseline, patients had a mean ACT score of 15.1 ± 3.5, with 94% having uncontrolled asthma, and an average of 4.2 ± 2.5 reported barriers. The following barriers were most common: not having an Asthma Action Plan (52.9%), use of inhaler more or less often than prescribed (47.1%) and forgetfulness (41.2%). The ACT score increased by 2.7 ± 5.4, which was not statistically significant; however, it might be clinically significant. Two barrier scores improved as a result of the intervention. Preliminary evidence on the feasibility of identifying and addressing patient-specific barriers to adherence delivered by pharmacists showed that it has the potential to resolve barriers and improve asthma outcomes.
ACCESS TO CREDIT AND PHYSICAL CAPITAL STOCK: A STUDY OF NON-FARM HOUSEHOLD ENTERPRISES IN NIGERIA

This study investigated the influence of access to credit on the physical capital stock of non-farm household enterprises in Nigeria. The study used the binary logistic regression technique and Nigeria’s 2018-19 General Household Survey data (Wave 4). We find that the influence of access to credit on the physical capital stock of nonfarm household enterprises in Nigeria is positive and significant. This implies that access to credit enhances the capacity of these enterprises to procure physical capital stock. Our results also indicate that expenditure on raw materials, profit, and years of operations are other key drivers of physical capital stock accumulation. Consequently, we conclude that there is a need for policies to enhance access to credit by non-farm household enterprises in Nigeria to strengthen their operations on a sustainable basis.
ANALYSIS OF THE EFFECTS OF LIQUIDITY, ACTIVITIES, LEVERAGE, AND PROFITABILITY ON FIRM VALUE IN RETAIL TRADE SUBSECTOR (IDX) 2015-2020 PERIOD

This research intends to determine the effect of liquidity, activity, leverage, and profitability on company value. The population of this research is the entire IDX retail trade subsector in 2015-2020 as many as 25 companies and the number of samples is 14 companies. The data analysis method used in the research is Panel Data Regression and the best model is the Random Effect Model. The results of the research partially found that liquidity (CR), activity (TATO), and leverage (DER) did not affect PBV, while profitability (NPM) had a positive effect on PBV. The research results simultaneously found that liquidity (CR), activity (TATO), leverage (DER), and profitability (NPM) had an impact on PBV.
Students' Social Interaction, Collaborative Learning, and Perceived Learning in an Online Learning Environment

Learning is a social process, but limited studies have explored the degree of social interaction and collaborative learning in an online learning environment and whether these variables foster students' perceived learning. This descriptive-correlational research determined the level of students' social interaction, collaborative learning, and perceived learning in the online learning environment and analyzed the relationships between these three (3) variables. The data were gathered using online survey questionnaires distributed to 288 conveniently sampled teacher education students from a state university in an eastern province of the Philippines. Descriptive and inferential statistics were used to analyze the data. Results revealed a high level of social interaction, collaborative learning, and perceived learning in an online learning environment, and a significant relationship among the variables was also noted. Thus, teachers should encourage social interaction and collaborative learning among students to foster learning in an online learning environment.
Cross-equatorial flow over southeast Asia during the Northeast monsoon

Computations of equatorial trajectories involving the voritcity equation as suggested by Fujita et at. (1969) were performed. Comparison of the trajectories for the early and late northeast monsoon months reveals that substantial cross-equatorial flow during the late monsoon period is the result of changes that take place in the Asia monsoon circulation. The causes of the cross-equatoial flow during the late monsoon period is the result of changes that take place in the Asia monsoon circulation. The causes of the cross-equatorial drift flow are also attributed to these changes with a further requirement of the strengthening of the winds over Southeast Asia especially over area north of latitude 100 N.
UTAUT Model: Identifying the Driving Factors of the Intention to Use Paylater

Information and Communication Technology (ICT) has developed rapidly that drives to the growth of digital transaction in recent years. E-commerce companies create features in order to deal with their customers, such as paylater in their digital payment. It offers a payment method that is almost similar to a credit card which allows customers to buy products or services right now with the delaying of payment. This phenomenon becomes regular in e-commerce business. Thus, this study aims to examine what factors influence individual behavioral intention in adopting paylater by using Unified Theory of Acceptance and Use of Technology (UTAUT) theory. A total of 167 respondents was involved in this study. Data were analyzed by using Structural Equation Modeling (SEM). The result showed that only performance expectancy and facilitating conditions have a significant influence on behavioral intention.
Geologic and geomorphic evidence for multi-phase history of strands of the San Andreas fault through the San Gorgonio Pass structural knot, southern California

The San Gorgonio Pass region of southern California is a locus of extensive Quaternary deformation within a multi-strand section of the San Andreas fault zone. The geomorphology of the San Gorgonio Pass region reflects the complicated history of geologic events in the formation of this structurally complex region. We define fault-bounded blocks in San Gorgonio Pass and focus on two that are characterized by extensive crystalline bedrock outcrops with similar bedrock lithologies. These two blocks are separated by the San Bernardino strand of the San Andreas fault. Morphometric variables, including local relief, slope, slope distribution, and surface roughness, consistently demonstrate distinctions between the bedrock upland regions of the two blocks. Geologic observations of the region highlight differences in Quaternary units within the two blocks, reflective of the differing surficial processes active in each block. Within the Kitching Peak block, the morphology highlights a lineament that we informally name the Lion Canyon lineament. This boundary more clearly differentiates the two regions, as compared to the mapped San Bernardino strand, and may represent the previously active strand or bounding structure in this section. The distinction in morphology and surficial processes leads to our interpretation that the Kitching Peak and Pisgah Peak blocks have experienced different uplift histories. This further leads to the conclusion that the San Bernardino strand, broadly defined, has been integrated, at some point in the past, with the Banning strand, allowing for through-going rupture along the fault system. This connectivity may have occurred along the Burro Flats section of the San Bernardino strand or the Lion Canyon lineament. The fault connection along the mapped trace of the San Bernardino strand is not currently evident at the surface, however, suggesting that the integration has been disrupted. We propose this is due to intervals of N-S compression in the region, manifest as slip along the San Gorgonio Pass fault zone and other regional faults. We present evidence for lateral displacement along the San Bernardino and Banning strands of the San Andreas fault, discuss the implications of these displacements, and propose a sequence of fault activity, including multiple phases of activity along the San Bernardino and Banning strand pathway to account for the structural complexity and lack of surficial fault continuity.
Evaluation of screening parameters and machine learning models for the prediction of neonatal sepsis: A systematic review

About 2.9 million neonates die every year worldwide, and most of these deaths occur in low-resource settings. Neonatal sepsis occurs when there is a bacterial invasion in the bloodstream; the immune system begins a systemic inflammatory response syndrome (SIRS) damaging to the body and can quickly advance to severe sepsis, multi-organ failure, and finally, death. Sepsis in neonates can progress more rapidly than in adults; therefore, a timely diagnosis is critical. The standard gold test for diagnosing neonatal sepsis is blood culture, which takes at least 72 hours. Hence, identifying key predictor variables and models that work best can help reduce neonatal morbidity and mortality. The matching articles were identified by searching the PubMed, IEEE, and Cochrane bibliography databases. For the inclusion of articles, the abstract and titles were first screened based on some predetermined criteria and then, the full-text articles were screened. Thirty-one studies met the full inclusion criteria. The duration of ROM was found to be more significant than other maternal risk factors. Heart rate and heart rate variability were found to be more significant than other neonatal clinical signs. C reactive protein and I/T ratio were found to be more significant than other laboratory tests. The main limitation is the variation in the performance measures used in the studies, which made it difficult to perform a quantitative assessment. A combination of predictor variables has been shown to strengthen neonatal sepsis prediction, as shown by some of the reviewed studies. Predictive algorithms that combine multiple variables are urgently needed to improve models for early detection, prognosis, and treatment of neonatal sepsis.
LITERATURE REVIEW DETERMINASI SISTEM INFORMASI MANAJEMEN: DATABASE, CCTV DAN BRAINWARE

Sistem informasi manajemen memiliki hubungan yang erat dengan berbagai komponen dalam proses menghasilkan sistem informasi untuk memenuhi kebutuhannya. Hal ini sesuai dengan penerapan komponen tersebut, dimana informasi yang kurang akurat, kurang detail, tepat waktu dan kurang relevan akan menimbulkan kesalahan dalam proses pengambilan keputusan perusahaan. Oleh karena itu, diperlukan pemahaman yang mendalam tentang komponen dan sistem informasi manajemen, terutama database, CCTV, database dan brainware untuk menghasilkan informasi yang berharga, efektif, dan berkualitas, efektif bagi perusahaan. Tujuan penulisan artikel ini guna membangun hipotesis pengaruh antar variabel untuk digunakan pada riset selanjutnya. Hasilnya 1) Database berpengaruh terhadap Sistem Informasi Manajemen; 2) CCTV berpengaruh terhadap Sistem Informasi Manajemen; dan 3) Brainware berpengaruh terhadap Sistem Informasi Manajemen.
Does genetic testing have any role for elderly breast cancer patients? A narrative review

Background and Objective: Hereditary breast cancer is associated with young age of onset. However, a recent study showed that the prevalence of genetic mutations in postmenopausal breast cancer patients was 3.5%, which was significantly higher when compared to 1.3% in cancer-free women. This posed the question of whether genetic testing should be extended to older patients. This literature review aimed to highlight the controversies of genetic testing for older breast cancer patients, and their subsequent management after a positive genetic test. Methods: Literature search was performed targeting published papers in English from year 2000 onwards in PubMed. Key Content and Findings: In BRCA mutation carriers, breast cancer incidence rapidly increases from early adulthood until 50 years old, then it reduced with age. Nonetheless, older BRCA mutation carriers have a higher breast cancer incidence when compared to non-carriers. The implementation of genetic testing in elderly breast cancer patients should take into account the chance of underdiagnoses, the benefits of identifying a genetic mutation and balancing it with increased medical cost and patient anxiety. Recent data suggested that BRCA1/2 mutation detection rate in postmenopausal breast cancer patients until 65 years old could be higher than what was traditionally expected, at 2%, while breast cancer patients who were 65 or above had a detection rate of about 1%. Benefits of risk-reducing contralateral mastectomy for primary breast cancer could be less in older patients due to competing causes of mortality, and a lower risk of contralateral breast cancer when compared to their younger counterparts. Conclusions: Current management guidelines for BRCA mutation carriers were based on evidence targeting younger population; there were no specific guidelines or studies targeting older mutation carriers. Individual factors such as comorbidity, competing causes of mortality, cancer risks and personal preference should all be considered when managing elderly mutation carriers. of
Driving Factors behind Energy-Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis

The U.S. is the second largest contributor to carbon emissions in the world, with its road transport sector being one of the most significant emission sources. However, few studies have been conducted on factors influencing the emissions changes for the U.S. from the perspective of passenger and freight transport. This study aimed to evaluate the carbon emissions from the U.S. road passenger and freight transport sectors, using a Logarithmic Mean Divisia Index approach. Emissions from 2008 to 2017 in the U.S. road transport sector were analysed and key findings include: (1) energy intensity and passenger transport intensity are critical for reducing emissions from road passenger transport, and transport structure change is causing a shift in emissions between different passenger transport modes; and (2) the most effective strategies to reduce carbon emissions in the road freight transport sector are to improve energy intensity and reduce freight transport intensity. Several policy recommendations regarding reducing energy and transport intensity are proposed. The results and policy recommendations are expected to provide useful references for policy makers to form carbon emissions reduction strategies for the road transport sector.
The Relationship of Culture Values and Leader Member Exchange with Organizational Citizenship Behavior on Nurses at Mother's and Children's Hospital in Makassar City

OCB (Organizational Citizenship Behavior) as an employee's willingness to take a role (role) that exceeds its main role in an organization, so it is referred to as extra-role behavior. This study aims to analyze the relationship between Culture Values and Leader Member Exchange with Organizational Citizenship Behavior of RSIA Nurses in Makassar City. This type of research is a quantitative research using an observational study with a cross sectional study design. Collecting data in the form of a questionnaire. The sample in this study were nurses at RSIA Makassar City, amounting to 177 respondents. The results showed that there was a relationship between culture values and OCB of RSIA nurses in Makassar City, there was a relationship between Leader Member Exchange and OCB of RSIA nurses in Makassar City, culture values were the most influential variable on OCB of RSIA nurses in Makassar City. It is suggested to the hospital management that it is necessary to pay attention to cultural values by being able to take advantage of aspects of language and tradition, which so far have been carried out to emphasize new values to be developed for employees.