Miracle-dz/UniFAR-FTUs huggingface dataset:
DNA barcode confirms the distribution of Bombus magnus (Vogt, 1911) (Hymenoptera Apidae) in the Iberian Peninsula

Bombus magnus (Vogt, 1911) (Hymenoptera: Apidae) is one of the three cryptic species belonging to the lucorum complex besides B. lucorum (Linnaeus, 1761) and B. cryptarum (Fabricius, 1775). In the Iberian Peninsula, only B. lucorum and B. magnus are present but the presence of this last species south of the Pyrenees has not yet been confirmed. Given their morphological similarity, we used the DNA barcode region for the identification of 113 individuals of this species complex in an Iberian sampling. Results confirm the presence of B. magnus in the Pyrenees and extend its current distribution to the Northern Iberian Plateau. Given these results, we suggest that the distribution and conservation status of this species in the Iberian Peninsula should be revised.
Hybrid Influence Index Based on Endpoint Attribute Diversity in Link Prediction in Complex Networks

Prediction of links in complex networks aims to study possibility of forming a link between unconnected nodes, with the information contained in network, mainly including nodes, links and topological structure. In recent years, it has caused amounts of attention in various fields and achieved great success, especially in the indices based on topological similarity. However, most topological similarity indices incline to predict links based on transmission paths rather than endpoints. In addition, they typically measure endpoint influence only by degree, ignoring the role of other attributes of endpoints. Therefore, considering the diversity between endpoint attributes, we propose a method named Hybrid Influence Index based on Endpoint Attribute Diversity (HED), to specifically locate the impact of endpoint attributes in the measurement of endpoint influence. Finally, experiments based on twelve datasets of real world account for the superiority of our model in accuracy
RADİKAL PROSTATEKTOMİ SPESMENLERİNDEKİ VEGF’İN, E-CADHERİN’İN VE BIM’İN İMMÜNOHİSTOKİMYASAL EKSPRESYONLARININ PROGNOSTİK DEĞERİ

Giris: Bu calismanin amaci radikal prostatektomi spesmenlerindeki vaskuler buyume faktoru (VEGF), E-Cadherin ve Bim ekspresyonlarini degerlendirmek ve prognoz uzerine etkisini arastirmaktir. Gerec ve Yontem: Radikal prostatektomi uygulanan 66 hastanin (51 hasta pT2, 13 hasta pT3, 2 hasta pT4) spesmenleri VEGF, E-Cadherin ve Bim antikorlari ile boyandi. VEGF, E-Cadherin ve Bim immunoreaktivite sonuclarinin Gleason skoru ve biyokimyasal nuks ile olan iliskileri arastirildi. Immunohistokimyasal ve klinik verilere gore istatistiksel analiz yapildi. Bulgular: Hastalar Gleason skoruna (Gleson score 0,2 ng/ml) gore gruplara ayrildi. Gruplar arasinda VEGF, E-Cadherin ve Bim ekspresyonlarinda anlamli fark olmamasina ragmen, biyokimyasal nuks saptanan hastalarda VEGF ekspresyonu %59,74 ve biyokimyasal nuks saptanmayan hastalarda %44,47 bulundu (p=0,058). Spearman korelasyon testi uygulandiginda, VEGF ve E-Cadherin arasinda anlamli bir iliski tespit edildi (p=0,05). Sonuc: Tedaviye karar asamasinda yuksek riskli hasta grubunun belirlenmesinde kullanilabilecek biyobelirtece henuz sahip degiliz. Dusuncemiz daha buyuk sayili calismalarda bu biyobelirteclerin arastirilmasi ve immunohistokimyasal degerlendirmede imaj analiz yonteminin kullanilmasidir. Anahtar Kelimeler: Prostat kanseri, VEGF, E-Cadherin, Bim
Separating and imaging diffractions of seismic waves in the full-azimuth dip-angle domain

Seismic diffractions are ideal carriers of information on small-scale, discontinuous objects and can therefore be used to detect these geologic objects. However, recognizing diffractions is difficult because specular reflection with strong energy masks the weak diffraction. In this study, we propose a diffraction separation and imaging method based on a Mahalanobis-based and phase-based attenuation function used to modify the Kirchhoff migration formula in the full-azimuth dip-angle domain. In this domain, reflections are restricted to within the first Fresnel zone and are distributed in the vicinity of the stationary point, while diffractions are located across a wide range of azimuth and dip angles. Synthetic and field data applications suggest that this new method can effectively separate and image diffractions. The results also demonstrate the efficiency of the new method in clarifying subsurface small-scale objects, which can provide finer information about these structures for seismic interpretation.
The complete chloroplast genome sequence of Sinojackia huangmeiensis (Styracaceae)

Abstract Sinojackia huangmeiensis J. W. Ge & X. H. Yao is a member of the genus Sinojackia endemic to central and east China. Here we assembled and annotated the complete chloroplast (cp) genome. It is 158,758 bp in length and encodes 84 protein-coding genes, 37 transfer RNA (tRNA) genes and eight ribosomal RNA (rRNA) genes. The Maximum likelihood phylogenetic analysis confirm that S. huangmeiensis is a closely related but another different species to S. sarcocarpa.
Addressing a nursing shortage: A joint entry-level nursing education program

The Affordable Care Act, through its Health Insurance Marketplace, has over 8 million participants and many questions have arisen about dealing with mandatory health care. Providing health care to all Americans requires an infrastructure of highly trained professionals including Registered Nurses (RN). A major barrier to increasing the number of RNs lies in the lack of capacity to educate them. Over 60% of the qualified applicants for California’s associate and bachelor degree pre-licensure RN programs are turned away. The purpose of this qualitative study was to examine a joint entry-level nursing education program (the Paradigm Program) to determine if this approach could potentially help to address a nursing shortage. The Paradigm Program was unique in its design and extensive collaboration between local acute care hospitals and the community college. Data collection methods included semi-structured interviews with faculty and administrators from the community college, administrators from the local acute care facilities, and Paradigm Program graduates, review of archival documents, and graduate questionnaires. Themes that emerged from the study included the students’ perceptions of feeling well equipped for the culminating NCLEX examination, as well as a sense of camaraderie with classmates in their cohort, and the perception by all participants that the program had a positive impact on reducing the local RN
Energy Efficient Buffer-Aided Transmission Scheme in Wireless Powered Cooperative NOMA Relay Network

In this paper, we consider a wireless powered cooperative non-orthogonal multiple access (NOMA) relay network, in which one source is supposed to send independent messages to two users with the assistance of one energy-constrained relay that harvests energy from the source. Firstly, we study the minimum power consumption at the source node to fulfill the least required transmission rates by two users in both time switching relaying (TSR) strategy and power splitting relaying (PSR) one. Secondly, when the relay is provisioned with data buffer and energy storage, the long-term average power consumption minimization problem is formulated to take into account of the data and energy queue causality, peak transmit power constraint, and transmission mode selection. By using Lyapunov optimization framework, a novel buffer-aided transmission scheme (BATS) is proposed to asymptotically approach the optimal solution. Our analysis shows that, the PSR outperforms the TSR in terms of the realized energy efficiency, and BATS can be utilized to further improve the energy efficiency. It is disclosed that, there is an inherent trade-off between the long-term power consumption and the average queuing delay. In addition, larger user rates or less power consumption can be realized if a larger delay can be tolerated.
FGFR3 is a positive regulator of osteoblast expansion and differentiation during zebrafish skull vault development

Gain- or loss-of-function mutations in fibroblast growth factor receptor 3 (FGFR3) result in cranial vault defects - highlighting the protein’s role in membranous ossification. Zebrafish express high levels of fgfr3 during skull development; in order to study FGFR3’s role in cranial vault development, we generated the first fgfr3 loss-of-function zebrafish (fgfr3lof/lof). The mutant fish exhibited major changes in the craniofacial skeleton, with a lack of sutures, abnormal frontal and parietal bones, and the presence of ectopic bones. Integrated analyses (in vivo imaging, and single-cell RNA sequencing of the osteoblast lineage) of zebrafish fgfr3lof/lof revealed a delay in osteoblast expansion and differentiation, together with changes in the extracellular matrix. These findings demonstrate that fgfr3 is a positive regulator of osteogenesis. We hypothesize that changes in the extracellular matrix within growing bone impair cell-cell communication, mineralization, and new osteoblast recruitment.
Participant responses to a water treatment intervention in rural Guatemala

Each year, 1.1 billion people suffer from disease, dehydration, and malnutrition fueled by waterborne pathogens. Although point-of-use water filters are a viable solution, effectiveness requires consistent use. As collaborators in international development projects, social workers are poised to address service barriers through their focus on multilevel practice and a relentless emphasis on culturally competent practice. This article describes an illustrative case of a water remediation project in rural Guatemala where social work researchers collaborated with engineers to understand how users appraised the project. We present a content analysis of interviews conducted in 20 households in the Boca Costa and Highland regions of rural Guatemala that received bio-sand water filters, which revealed a diverse group of filter users, with varying motivations and constancy patterns. Our study demonstrates how talking to people is essential to understanding their use of technology and how other objective measures—such as the wetness of the sand—can be helpful in interpreting results. It also shows that within the developing context, people vary in their need for additional supports as they adopt new health-promoting activities.
A New Framework for Exploring Process Controls of Flow Duration Curves

The flow duration curve (FDC) is effectively the cumulative distribution function of streamflow. For a long time, hydrologists have sought deeper understanding of the process controls on the shape of FDC, which has been a challenge due to contrasting processes controlling the fast flow and slow flow components of streamflow and their interactions. In this paper, we outline a new framework for exploring the process controls of the FDC, which involves studying fast and slow flow components of FDC separately and combining them statistically, explicitly accounting for their dependence. We illustrate the potential of the framework by constructing empirical fast flow duration (FFDC) and slow flow duration (SFDC) curves from the flow components obtained by traditional baseflow separation. Streamflow time series data from 245 MOPEX catchments across the continental United States are used. The dependence of FFDC and SFDC components is captured by the Gumbel copula, the strength of which varies regionally. In catchments where FFDC and SFDC are independent, FDC can be approximated by a simple convolution of FFDC and SFDC. The proposed conceptual framework opens the way for future modeling studies to explore process controls of fast and slow components of streamflow separately, their dependence, and their relative contributions to the shape of the FDC.
A Balanced Scorecard for Assessing Automation in Construction

Despite the economic importance of the construction industry worldwide, it suffers from low productivity compared to other sectors, due to weak industrialisation, fragmented supply chain and poor collaboration. Recent national initiatives are promoting the adoption of information and automation technologies to increase efficiency, quality, safety, and reduce costs in construction. Emerging technologies will also provide highly integrated, connected and scalable new methods of construction. Nevertheless, the benefits and risks of automation in construction remain largely unknown due to the lack of standards and management tools to assess them from a holistic perspective. The aim of this research is to develop a Balanced Scorecard (BSC) as an evaluation framework for automation in construction. A BSC is a strategic management system that links performance measurement to business strategy using a holistic set of performance assessment criteria. BSCs expand evaluation beyond financial criteria to include environmental and social considerations. The proposed BSC under development in this research uses a hierarchic system of multidimensional indicators (e.g. resource consumption, GHG emissions, costs, productivity, etc.) relevant to automation in construction, at operational, organisational and societal levels. The validity, priority and accessibility of the indicators were explored via a workshop with 20 participants from the construction industry. The workshop outcomes provided a means to focus attention on relevant key performance indicators (KPIs) for decision-making regarding construction processes. Based on the outcomes of this study, the final BSC will help construction organisations to achieve their sustainability goals and address low productivity, because automation solutions can be seen through a holistic, and pragmatic lens, thus are more likely to be included in, and contribute to, construction operations in the future.
Novel High-Frequency Isolated Cascade PV Inverter Topology Based on Multibus DC Collection

This article proposes a novel single-stage isolated cascade photovoltaic (PV) inverter topology based on a multibus dc collection. The PV power plant can be divided into many arrays, each of which supplies power to three cascaded isolated inverter units through a dc bus. This isolated inverter unit is composed of cascade isolated bridge cells (I-BCs) connected in input-parallel output-series (IPOS). Compared with a conventional two-stage isolated cascade PV converter, the proposed PV topology can totally eliminate the individual dc-link capacitors at the high-voltage (HV) side, which leads to extremely reduced system volume and eliminated the voltage-balancing control between the dc-link capacitors. This article, first, describes the basic principle and the carrier phase shift pulse-width modulation (CPS-PWM) applied to this topology and, then, analyzes the power balance constraints between the cascade three-phase units for the PV grid-connected system. Finally, the effectiveness of the novel topology is verified by the simulation and experimental results.
Reconstructing facade semantic models using hierarchical topological graphs

Semantic information in 3D building models is of vital importance for various applications in terms of smart cities. To infer the semantic information and localize the components on building facades, this article proposes a novel approach to model facades with semantics by constructing hierarchical topological graphs. This method utilizes the topological characteristics of building facades. In the first‐layer layout graph, the algorithm takes the nearest cluster as the vertex and the distance between components as the edge. Thus, a topology graph is generated for the facade. The proposed algorithm is divided into three steps. First, the topology graph is obtained by calculating the spacing between the components. It is reasonable to calculate the topological graph by encoding the topological edges. If this calculation is not effective, the topology is justified by adjusting the spacing between components. Finally, the vertices in the graph are used to repair the occluded parts of the facade. In the second‐layer graph, a grid is constructed according to the first‐layer graph. Then, the attributes of the nodes are used to reconstruct the facade. The experimental results show that this method has a high accuracy of 90% and that the average time consumption is 6 s.
A Functional Analysis of Pedotransfer Functions Developed for Sri Lankan soils: Applicability for Process-Based Crop Models

As measurements are expensive and laborious, the estimation of soil hydraulic properties using pedotransfer functions (PTFs) has become popular worldwide. However, the estimation of soil hydraulic properties is not the final aim but an essential input value for other calculations and simulations, mostly in environmental and crop models. This modeling approach is a popular way to assess agricultural and environmental processes. However, it is rarely used in Sri Lanka because soil hydraulic data are rare. We evaluated the functionality of PTFs (developed to estimate field capacity (FC) and the permanent wilting point (PWP) of Sri Lankan soils) for process-based crop models. We used the Agricultural Production Systems sIMulator (APSIM) as the test model. Initially, we confirmed the importance of PWP (LL15) and FC (DUL) by assessing the sensitivity of the soil input parameters on the growth and yield of rice under rainfed conditions. We simulated the growth and yield of rice and the four selected outputs related to the APSIM soil module using the measured and estimated values of FC and PWP. These simulations were conducted for ten years in 16 locations of Sri Lanka, representing wet, intermediate, and dry zones. The simulated total aboveground dry matter and weight of the rough rice, using both input conditions (the measured and PTF-estimated soil hydraulic properties), showed good agreement, with no significant differences between each other. Outputs related to the soil module also showed good agreement, as no significant differences were found between the two input conditions (measured and PTF-estimated soil hydraulic properties). Although the DUL and LL15 are the most influential parameters for the selected outputs of APSIM–Oryza, the estimated FC and PWP values did not change the predictive ability of APSIM. In this way, the functionality of PTFs for APSIM crop modeling is confirmed.
Model Mis-Specification in Newsvendor Decisions: A Comparison of Frequentist Parametric, Bayesian Parametric and Nonparametric Approaches

We compare three different approaches studied by past literature on data-driven inventory optimization--- Frequentist Parametric (FP), Bayesian Parametric (BP) and Nonparametric--- for the newsvendor problem. For the Parametric approaches, we allow for mis-specification of the demand model. We prove, under mild regularity conditions, (i) asymptotic bias and variance formulas of FP and BP are equivalent, (ii) mis-specified Parametric approaches yield asymptotically biased decisions, unlike the correctly-specified Parametric approaches and the Nonparametric approach, and (iii) asymptotic variance of the mis-specified Parametric approaches converges to zero at rate $1/n$, in contrast to the $1/n^2$ rate for the correctly-specified Parametric approaches and the Nonparametric approach, where $n$ is the number of demand samples. We then show, for nine pairs of assumed versus true demand distribution pairs, (iv) asymptotic bias and variance formulas approximate finite-sample counterparts very well, (v) correctly-specified Parametric approaches dominate the Nonparametric approach in the asymptotic mean-squared error (AMSE) of the decision and the cost, and (vi) surprisingly, it is possible for mis-specified Parametric approaches to dominate the Nonparametric approach in the AMSE of the decision and the cost. We compare the approaches on a dataset from a large fresh food chain, and discuss the nuances of choosing the ``best'' approach.
A Comparative Study of Text Summarization on E-mail Data Using Unsupervised Learning Approaches

Over the last few years, email has met with enormous popularity. People send and receive a lot of messages every day, connect with colleagues and friends, share files and information. Unfortunately, the email overload outbreak has developed into a personal trouble for users as well as a financial concerns for businesses. Accessing an ever-increasing number of lengthy emails in the present generation has become a major concern for many users. Email text summarization is a promising approach to resolve this challenge. Email messages are general domain text, unstructured and not always well developed syntactically. Such elements introduce challenges for study in text processing, especially for the task of summarization. This research employs a quantitative and inductive methodologies to implement the Unsupervised learning models that addresses summarization task problem, to efficiently generate more precise summaries and to determine which approach of implementing Unsupervised clustering models outperform the best. The precision score from ROUGE-N metrics is used as the evaluation metrics in this research. This research evaluates the performance in terms of the precision score of four different approaches of text summarization by using various combinations of feature embedding technique like Word2Vec /BERT model and hybrid/conventional clustering algorithms. The results reveals that both the approaches of using Word2Vec and BERT feature embedding along with hybrid PHA-ClusteringGain k-Means algorithm achieved increase in the precision when compared with the conventional k-means clustering model. Among those hybrid approaches performed, the one using Word2Vec as feature embedding method attained 55.73% as maximum precision value.
Prevalence and Risk Factors Associated with Carrying a Gun to School during Adolescence: A Statewide Study of Middle and High School Students

ABSTRACT Although studies have identified risk factors for adolescent handgun carrying, previous research on risk factors for carrying a handgun to school specifically is sparse. This study examines self-report data from 122,840 8th, 10th, and 12th grade students from 426 schools across Arizona, from three survey administrations (2014, 2016, and 2018). In each year, 0.5% to 0.8% of students reported carrying a handgun to school in the past year, and roughly half of the schools had at least one student who brought a gun to school. Multinomial logistic regression model results indicated that youth who carry a handgun to school are generally indistinguishable from non-school carriers; both kinds of carrying can be explained by risk factors related to criminal lifestyle, differential association, and fear of victimization theories. Findings suggest that programs aimed at reducing handgun carrying more generally might have an impact on carrying a gun to school.
Transcutaneous vagus nerve stimulation

Invasive vagus nerve stimulation (VNS) is an approved treatment for drug-resistant epilepsy. Besides its recognised clinical efficacy, there are major drawbacks, such as invasiveness and a great many side effects. Therefore there is a medical demand for transcutaneous VNS (t-VNS®), which combines selective, non-invasive access to vagus nerve afferents with a low risk profile. Both treatments excite thick myelinated fibres of vagus nerve branches that project to the nucleus of the solitary tract in the brainstem. Preclinical data emphasise the equivalent anticonvulsive effects of both methods. Based upon the common mode of action and the first clinical data, the t-VNS device received Conformité Européenne (CE) approval. Besides the approved intended use for drug-resistant epilepsy and depression, a future clinical trial will address the efficacy of t-VNS in chronic pain.