Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings

In Germany, renewable energy sources play a crucial role in electricity generation, with wind and photovoltaic (PV) leading the way. In 2022, large wind turbines contributed 24.1% of the electricity generated, while PV accounted for 10.6%. Contrary, small wind power holds a marginal share of less than 0.01%. This is unfortunate as the decentralized nature of small wind power at low-voltage grid level oﬀers beneﬁts like reducing the need for grid expansion or infrastructure upgrades. Although small wind power currently suits locations with favorable wind potential, changing factors such as rising electricity prices, falling battery storage
Elucidating the Intermolecular Interactions and Crystallographic Structure of Aspirin and Lactose Monohydrate by Synthonic Modelling

This study is conducted to determine the morphologies of aspirin (ASA) and lactose monohydrate (LM) via molecular modelling tools. The simulations of the crystal morphology of ASA-LM have been made upon geometrical, lattice energy, intermolecular bonding, and interatomic analysis by Accelrys Material Studio and Habit98. The crystalline structure's synthons were calculated using atomistic force fields derived from emipirical data. In this study, synthonic modelling was carried out using optimised molecular structure using Nemethy and Lifson force fields, including morphological prediction. The predicted lattice energies of ASA-LM were in excellent agreement with the previous study, with a percentage deviation of 5.17 % and 10.52 %. The morphology of ASA-LM was predicted to be hexagonal in shape. Furthermore, it was discovered that hydrogen bonds, with intermolecular strengths of -11.46 kJ/mol and -28.91 kJ/mol dominated the lattice energy of both ASA-LM. The findings also showed that ester holds the significant contributions of the functional group in ASA at 76.12 %, whereas hydroxyl functional groups account for most contributions in LM at 58.01 %.
Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph

A significant and recent development in neural-symbolic learning are deep neural networks that can reason over symbolic knowledge graphs (KGs). A particular task of interest is KG entailment , which is to infer the set of all facts that are a logical consequence of current and potential facts of a KG. Initial neural-symbolic systems that can deduce the entailment of a KG have been presented, but they are limited: current systems learn fact relations and entailment patterns specific to a particular KG and hence do not truly generalize, and must be retrained for each KG they are tasked with entailing. We propose a neural-symbolic system to address this limitation in this paper. It is designed as a differentiable end-to-end deep memory network that learns over abstract, generic symbols to discover entailment patterns common to any reasoning task. A key component of the system is a simple but highly effective normalization process for continuous representation learning of KG entities within memory networks. Our results show how the model, trained over a set of KGs, can effectively entail facts from KGs excluded from the training, even when the vocabulary or the domain of test KGs is completely different from the training KGs.
Development of Dust Storm Modeling for Use in Freeway Safety and Operations Management: An Arizona Case Study

Extreme weather conditions such as strong winds, hail, heavy rainfall, heavy snowfall, and high air temperature impact roads, traffic, and operational decisions. Strong winds in arid regions may pick up fine dust particles and create massive blowing plumes dramatically reducing the visibility. This reduced visibility severely impairs driving ability causing catastrophic crashes. The purpose of this research was to investigate the impacts of dust storms on freeway safety and operations. Interstates 8, 10, 15, 17, 19, and 40 running through Arizona were studied in relation to dust loading and crash risks. To achieve this, nine severe Arizona dust storms (2009–2016) were modeled using Weather Research and Forecasting (WRF) model coupled with a chemistry module (WRF-Chem). WRF is a mesoscale numerical weather prediction system with a software architecture allowing for parallel computation. When coupled with a chemistry module (WRF-Chem), it could be used to model the fate and transport of the particulate matter. Dust hot spots were calculated based on Getis-Ord Gi* statistical method and were correlated to dust storm caused crashes. It was shown that a positive Gi* accompanied by dust loading of at least 50 kgm–2 will result in a crash with a 90% confidence level. The outcome of this research could be used by local and federal transportation agencies to communicate warnings to drivers for improved safety.
Pediatric Inflammatory Myofibroblastic Tumor of the Liver: A Rare Cause of Portal Hypertension

ABSTRACT Hepatic inflammatory pseudotumors or myofibroblastic tumors are benign neoplasms rarely seen in children. We report a case of a previously healthy 10-year-old girl with prolonged fever and abdominal pain who was found to have hepatosplenomegaly and pancytopenia. Imaging revealed a periportal mass along with thrombosis of portal vein and splenomegaly. Liver biopsy showed normal hepatic architecture with no evidence of cirrhosis. She underwent endoscopic banding of esophageal varices. Biopsy of the mass was suggestive of inflammatory myofibroblastic tumor without malignant changes. She has been successfully managed with nonsteroidal anti-inflammatory drug and pulse steroids with resolution of symptoms and decrease in size of the tumor with more than 2 years of follow-up.
Problems of Objects Identification in Three-dimensional X-ray Tomography

X-ray computed tomography is a unique non-destructive technique which is suitable for dimensional measurements and quality testing. X-ray tomography is applied widely not only in the traditional medical area, but in natural science and engineering fields. The result of tomography is a volumetric map of attenuation coefficients which has, in fact, a limited practical sense. Usually, segmentation that converts the map into binary objects by means of threshold value is applied. In this paper we discuss the some key features of segmentation applied to a test object which is gravel composed of unconsolidated rock fragments. Gravel appeared to be a challenging object for segmentation and image recognition. One of effective approach for image processing of tomographic data, among many possible ones, is presented in this paper.
Genetic variability among and within domestic Old and New World camels at the α-lactalbumin gene (LALBA) reveals new alleles and polymorphisms responsible for differential expression.

α-Lactalbumin (α-LA), which is encoded by the LALBA gene, is a major whey protein that binds to Ca2+ and facilitates lactose synthesis as a regulatory subunit of the synthase enzyme complex. In addition, it has been shown to play central roles in immune modulation, cell-growth regulation, and antimicrobial activity. In this study, a multitechnical approach was used to fully characterize the LALBA gene and its variants in both coding and regulatory regions for domestic camelids (dromedary, Bactrian camel, alpaca, and llama). The gene analysis revealed a conserved structure among the camelids, but a slight difference in size (2,012 bp on average) due to intronic variations. Promoters were characterized for the transcription factor binding sites (11 found in total). Intraspecies sequence comparison showed 36 SNPs in total (2 in the dromedary, none in the Bactrian camel, 22 in the alpaca, and 12 in the llama), whereas interspecies comparison showed 86 additional polymorphic sites. Eight SNPs were identified as trans-specific polymorphisms, and 2 of them (g.112A>G and g.1229A>G) were particularly interesting in the New World camels. The first creates a new binding site for transcription factor SP1. An enhancing effect of the g.112G variant on the expression was demonstrated by 3 independent pGL3 gene reporter assays. The latter is responsible for the p.78Ile>Val AA replacement and represents novel allelic variants (named LALBA A and B). A link to protein variants has been established by isoelectric focusing (IEF), and bioinformatics analysis revealed that carriers of valine (g.1229G) have a higher glycosylation rate. Genotyping methods based on restriction fragment length polymorphism (PCR-RFLP) were set up for both SNPs. Overall, adenine was more frequent (0.54 and 0.76) at both loci. Four haplotypes were found, and the AA and GA were the most common with a frequency of 0.403 and 0.365, respectively. Conversely, a putative biological gain characterizes the haplotype GG. Therefore, opportunities for rapid directional selection can be realized if this haplotype is associated with favorable milk protein properties. This study adds knowledge at the gene and protein level for α-LA (LALBA) in camelids and significantly contributes to a relatively unexplored research area in these species.
Object colours, material properties and animal signals

ABSTRACT Humans and other animals often use colour to recognise objects regardless of their context – as a measure of material properties rather than of their contrast with a background. Most work on visual communication signals is, however, concerned with colour differences, typically scaled by just noticeable differences (JNDs). Here, we move from the prevailing physiological framework to understand what a given colour or type of colour might tell an animal about an object. To this end, we consider the properties of object colour solids, which represent the colour gamut of reflective materials for a given type of animal eye. The geometry of colour solids reveals general relationships between colours and object properties, which can explain why certain colours are significant to animals, and hence evolve as signals. We define a measure of colour vividness, such that points on the surface are maximally vivid and the ‘grey’ centre is minimally vivid. We show that a vivid colour for one animal is likely to be vivid for others, and highly vivid colours are less easily mimicked than less vivid colours. Furthermore, vivid colours such as black, white, red and blue, as well as pale colours and certain unsaturated shades, are produced by pure or orderly materials. Such materials are created and maintained against entropic processes. Vivid colours are therefore indicative of ecological affordance or biological function, so it is valuable to have low-level psychological biases towards these colours regardless of any specific significance they might have to the receiver. Summary: A measure of colour based on the object colour solid, which is mostly independent of species, gives an insight into the psychology of animal signals.
Psychological Impact of COVID-19 on Dental Graduates: A Cross-Sectional Study

Background The pandemic-induced physical closure of educational institutions led to challenges for senior dental students that might affect their psychological status. This study aimed to assess stress, anxiety, and subjective worries among dental interns post-COVID-19. Methodology A self-structured questionnaire was sent to Alexandria University and Taibah University dental interns. The questionnaire included sociodemographic data, self-reported comorbidities, behavioral risk factors, Kessler Psychological Distress Scale (K-10), Generalized Anxiety Disorder 7-Item (GAD-7) scale, and future subjective worries regarding the dental profession post-COVID-19. Results A total of 129 interns participated, with the majority (79.1%) being females. Overall, 90.7% were unmarried, 80.6% lived with a family, 93.8% were free from systemic comorbidities, 82.17% were satisfied with their current life, and 63.6% felt positive quite often. K-10 distress levels were reported as very high (38%) and high (33.3%), and perceived satisfaction with current social life was significantly associated with moderate-to-high distress levels. Feeling positive about life quite often was significantly associated with very high distress levels. Mild GAD-7 anxiety levels were reported in 40.3% and were significantly associated with females, who perceived positive satisfaction with their current social life and felt positive about life. Most agreed that their profession would be risky, their ability to perform their job to the best would be jeopardized, and they would need extra precautions in clinical training post-COVID-19; however, they disagree with postponing their training until COVID-19 cases declined entirely. Conclusions Dental interns were affected by the lockdown, especially female interns. Psychological therapy is advised for stressed dental students.
ScholarWorks@BGSU ScholarWorks@BGSU

Objective: To highlight the development of young adult couples ’ shared understandings about reasons for conflict in their relationships, views about why some disagreements included the use of aggression ( “ causes ” ), and gendered perspectives on these relationship dynamics. Background: Feminist theories have centered on relationship dynamics associated with intimate partner violence (IPV), but have focused primarily on men ’ s concerns (e.g., jealousy) and use of violence as a means of control over female partners. The current analysis drew on symbolic interaction theory as a framework for exploring couple-level concerns, and ways in which dyadic communication contributes to these understandings, or what can be considered “ micro-cultures ” of conflict. Method: The study relied on in-depth interviews with a heterogeneous sample of IPV-experienced young adults who had participated in a larger longitudinal study (Toledo Adolescent Relationships Study [TARS]) and separate interviews with their partners ( n = 90). Results: Analyses revealed that women ’ s concerns about men ’ s actions (e.g., infidelity) were frequently
Systematic review of dyadic psychoeducational programs for Systematic review of dyadic psychoeducational programs for persons with dementia and their family caregivers persons with dementia and their family caregivers

Aims and Objectives: Synthesising evidence for effects of dyadic psychoeducational support programs on both people with dementia and their caregivers' health and well-being. Background: There is an increasing need for psychoeducational support programs for people with dementia and their caregivers; therefore, it is important to identify the benefits and practical implications of the programs on the dyads. Methods: Guided by Joanna Briggs Institute (JBI) methodology, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, a systematic search of literature was conducted on dyadic psychoeducational programs published in English between January 2012 and January 2021 from four electronic databases. Results: Twenty-four studies evaluating 27 psychoeducational programmes were included in this review. Programs varied in activity types, intensity and duration. Outcome effects on people with dementia were grouped into seven categories: quality of life, cognitive function, psychological and
A Hybrid Approach for Assessing Problem Solving Skills under Fuzzy Conditions

Volumes of research have been written about problem solving, which is one of the most important components of the human cognition affecting the progress of the human society for ages. In this work a hybrid method is applied for the assessment of a student group’s problem solving skills with qualitative grades (i.e. under fuzzy conditions). Namely, soft sets are used as tools for a parametric assessment of the group’s performance, the calculation of the GPA index and the Rectangular Fuzzy Assessment Model are applied for evaluating the group’s qualitative performance, grey numbers are used as tools for assessing the group’s mean performance and neutrosophic sets are utilized when the teacher is not sure about the individual grades obtained by some (or all) students of the group
On Commodity-Sensitive Currencies and Inflation Targeting

Two aspects of the recent monetary history of Canada, Australia, and New Zealand stand out: the sensitivity of their dollars to prices of resource-based commodities, and inflation targeting. This paper explores various aspects of these phenomena. It uses standard empirical models, and an investigation of the different approaches to inflation targeting in the three countries—including a case study of the 1998 international financial crisis—to assess how well a floating currency serves a resource-rich economy, and how monetary policy ought to be conducted during periods of turbulence in commodity and currency markets. The broad swings and cycles in the Canadian, Australian, and New Zealand dollars are found to have been helpful to macroeconomic stability. It appears that the most effective monetary policy approach focuses on domestic inflation control over the medium term. In a crisis of confidence in the financial markets, of the kind that sporadically affected the Canadian dollar in the first half of the 1990s, a case can be made for short-term monetary actions to stabilize expectations. Apart from crisis situations, as long as a credible low-inflation policy is followed, monetary policy does not have to be concerned with the exchange rate per se.
Bank of Canada Banque du Canada Working Paper 996 / Document de travail 996 Uncovering Inflation Expectations and Risk Premiums from Internationally Integrated Financial Markets

This paper is intended to make the results of Bank research available in preliminary form to other economists to encourage discussion and suggestions for revision. The views expressed are solely those of the authors. No responsibility for them should be attributed to the Bank of Canada, the Bank for International Settlements, the Federal Reserve Bank of New York or the Federal Reserve System.
Application of Aeromagnetics as a Basin Depth Discriminating Tool Prior to Seismic Exploration: A Case Study of Central Niger Delta, Nigeria

Eight aeromagnetic maps and high resolution softcopy aeromagnetic data of the same area with available drilled well depth data were used for subsurface depth investigatuion in the Central Niger Delta, Nigeria. The data was processed, filtered and transformed to other grids using either Oasis Montaj and/or USGS potential field software with their associated extension packages. Anomaly Separation, Spectral Analysis, Euler Deconvolution, Horizontal Gradient Magnitude were done using the relevant softwares.The results of spectral analysis, euler deconvolution and horizontal gradient depth maps generated clearly indicates that the well bottom (well B) depth of 3.234km compared with the different thematic magnetic basement depth from spectral 4.2km, Euler 6.421km, and HGM 4.0kmis effective in basement depth discrimination. The result show a unique closeness in comaparism between already drilled depth with interpreted magnetic depth results. This indicate that the method can be reliable as a basin depth determining tool in virgin sedimentary basins prior to seismic exploratioin.
im-Planned Behavior, Social Networks, and Perceived Risks: Understanding Farmers’ Behavior toward Precision Dairy Technologies

Precision dairy tools (PDTs) can provide timely information on individual cow’s physiological and behavioral parameters, which can lead to more efficient management of the dairy farm. While the economic rationale behind the adoption of PDTs has been extensively discussed in the literature, the socio-psychological aspects related to the adoption of these technologies have received far less attention. Therefore, this paper proposes a socio-psychological model that builds upon the Theory of Planned Behavior (TPB) and develops hypotheses regarding cognitive constructs, their interaction with the farmers’ perceived risks and social networks, and their overall influence on adoption. These hypotheses are tested using a generalized structural equation model for (a) the adoption of automatic milking systems (AMS) on the farms; and (b) the PDTs that are usually adopted with the AMS. Results show that adoption of these technologies is affected directly by intention, and the effects of subjective norms, perceived control, and attitudes on adoption are mediated through intention. A unit increase in perceived control score is associated with an increase in marginal probability of adoption of AMS and PDTs by 0.05 and 0.19, respectively. Subjective norms are associated with an increase in marginal probability of adoption of AMS and PDTs by 0.009 and 0.05, respectively. These re-sults suggest that perceived control exerts a stronger influence on adoption of AMS and PDTs, particularly in comparison to their subjective norms. Technology-related social networks are associated with an increase in marginal probability of adoption of AMS and PDTs by 0.026 and 0.10, respectively. Perceived risks related to AMS and PDTs negatively affect probability of adoption by 0.042 and 0.16, respectively, by having negative impacts on attitudes, perceived self-confidence, and intentions. These results imply that integrating farmers within knowledge-sharing networks, minimizing perceived risks associated with these technologies, and enhancing farmers’ confidence in their ability to use these technologies can significantly enhance uptake.
Out of sight out of mind? Voter attitudes about cooperation with radical parties in Europe*

Do voters view cooperation between mainstream and radical parties di ﬀ erently when it occurs at the European as opposed to national level, and if so, why? Using an original survey experiment with over 8000 respondents from Germany and Italy, this paper explores how voters react to cooperation with radical political parties at the national and EU levels once they are made aware that such cooperation is occurring. Our results show that voters react negatively to cooperation with radical political parties. We ﬁ nd that when voters are aware of such cooperation, they express similar levels of disapproval regardless of whether it occurs domestically or in the EU. These results have implications for our understanding of domestic and EU political processes, and point to the role of information as a fundamental factor enabling accountability at the European level.
Resilience as a Moderator of Perceived Stress and Coping Strategies in Sophomore College Students Post-COVID-19 Pandemic

The post-COVID-19 pandemic has had various impacts on human life, including on educational institutions and sophomore students. One of the negative consequences has been an increase in perceived stress, which has necessitated the development of coping strategies. Resilience is believed to play a significant role in influencing the quality of these coping strategies. This research aims to examine the moderating influence of resilience on coping strategies for perceived stress among sophomore students in the post-COVID-19 pandemic era. Participants included students in their third to sixth semesters, selected through snowball sampling. Data were collected via an online questionnaire encompassing three scales: Brief COPE, Perceived Stress Scale (PSS), and Brief Resilient Coping Scale (BRCS). Data analysis involved descriptive analysis and moderated regression analysis. The study concludes that resilience significantly moderates the relationship between coping strategies and perceived stress (t = -10.722, p < 0.05). The theoretical and practical implications of these findings are further discussed.