Miracle-dz/UniFAR-FTUs huggingface dataset:
Computing How-Provenance for SPARQL Queries via Query Rewriting

Over the past few years, we have witnessed the emergence of large knowledge graphs built by extracting and combining information from multiple sources. This has propelled many advances in query processing over knowledge graphs, however the aspect of providing provenance explanations for query results has so far been mostly neglected. We therefore propose a novel method, SPARQLprov, based on query rewriting, to compute how-provenance polynomials for SPARQL queries over knowledge graphs. Contrary to existing works, SPARQLprov is system-agnostic and can be applied to standard and already deployed SPARQL engines without the need of customized extensions. We rely on spm-semirings to compute polynomial annotations that respect the property of commutation with homomorphisms on monotonic and non-monotonic SPARQL queries without aggregate functions. Our evaluation on real and synthetic data shows that SPARQLprov over standard engines incurs an acceptable runtime overhead w.r. t. the original query, competing with state-of-the-art solutions for how-provenance computation.
TURKISH ADAPTATION of PARENTS’ GENDERED EMOTION BELIEFS SCALE: VALIDITY and RELIABILITY STUDY of TURKISH PARENTS

Article History: Received 16.12. 2020 revised form 21.10. 2021 Available online 01.01. 2022 The purpose of this study is to analyze the validity and reliability of the Parents’ Gendered Emotion Beliefs Scale developed by Thomassin et al. (2019) for the adaptation of the Turkish version for Turkish Parents. The study was conducted on a total of 136 parents, including 69 mothers and 67 fathers, with 36-72 monthold-children in Istanbul province, Bahçelievler district. The obtained data were analyzed using descriptive analysis. In order to examine the validity and reliability of the scale, Kaiser-Meyer-Olkin (KMO), Bartlett Test, Confirmatory Factor Analysis, Exploratory Factor Analysis methods, as well as Comparative Fit Index (CFI), Tucker Lewis Index (TLI), Cronbach’s alpha internal consistency coefficient and independent samples T-test were used. As a result of the study, it was found that the Turkish adaptation of the Parents’ Gendered Emotion Beliefs Scale adapted to Turkish is sufficiently valid and reliable. © IJERE. All rights reserved
Propositional Models of Evaluative Conditioning

Although propositional models of associative learning are often referred to in the literature on evaluative conditioning (EC), it has not yet been clearly stipulated what propositional models of EC entail. The aim of this paper is to describe in more detail the assumptions of propositional models of EC. This includes a discussion of the core assumption that EC is mediated by propositions about stimulus relations, as well as assumptions about the processes via which those propositions are formed and influence liking. Based on this discussion, I put forward the Integrated Propositional Model that combines a number of these assumptions and discuss some of the predictions that can be derived from this model. The paper ends with a reflection on the limitations and strengths of propositional models of EC.
Reduced susceptibility to daptomycin in methicillin-resistant Staphylococcus aureus isolated from catheter-related bloodstream infections

Background The appearance of reduced susceptibility to daptomycin in methicillin-resistant Staphylococcus aureus (MRSA) has recently been reported. It is unclear how likely MRSA involved in catheter-related bloodstream infections (CRBSI) is to dampen susceptibility to daptomycin. We investigated the minimum inhibitory concentrations (MIC) of daptomycin in MRSA isolated from the blood of patients with CRBSI and examined how it was affected by previous anti-MRSA drug treatment. Methods A total of 115 patients whose blood culture samples were found to contain MRSA were enrolled in this study. The MIC of daptomycin and vancomycin and whether the subjects had a history of anti-MRSA drug treatment were investigated and compared between the CRBSI and non-CRBSI groups. Results The mean MIC of daptomycin was significantly higher for the 46 CRBSI-related MRSA isolates than for the 69 non-CRBSI-related MRSA isolates (0.78 vs. 0.33, respectively; p<0.0001). Among the CRBSI-related MRSA isolates, those collected from patients with a history of anti-MRSA drug treatment had significantly higher MIC (1.27 vs. 0.53, respectively; p <0.01). During treatment, MRSA was detected again in 10 CRBSI and 4 non-CRBSI patients, and all of the CRBSI-related MRSA isolates exhibited 1-2 log2 increases in their daptomycin MIC. Conclusions It is considered that when MRSA in catheter biofilms is exposed to anti-MRSA drugs, strains with reduced susceptibility to daptomycin are able to survive and disperse into the blood. Catheters should be removed if an MRSA-induced CRBSI is suspected. Further study of whether high-dose daptomycin treatment is effective when catheters cannot be immediately removed is needed.
Rotation Invariant Kernels on Spheres

: Kernels as similarity measures are key components of machine learning algorithms such as Support Vector Machine and Gaussian Process. Invariant kernels are an effective way to incorporate prior knowledge in applications with the invariance property. In this paper, we characterize all the rotation invariant kernels on spheres. We show that such a kernel is a function of the dot product of the input vectors alone. This function can be expanded as a series of Chebyshev polynomials with non-negative coefficients. In a 2-D space this condition is also sufficient. On a 3-D sphere the function can be expanded as a series of Legendre polynomials with non-negative coefficients. In general, a necessary and sufficient condition for the rotation invariant kernel is that the function on dot products can be expanded as a series of Gegenbauer polynomials with non-negative coefficients.
Thermal conductivity factor for beef of NOR and DFD grades at the subcryoscopic temperatures

Thermal conductivity factor and specific isobaric heat capacity of food products are currently the most important parameters in the development of mathematical models for food freezing and thawing and in improving production technology. There is significant variance among the existing experimental data for the thermal conductivity factor in meat. Most of the modern calculated relationships are based on the nutritional approach, which favorably differs by the ability to calculate the thermophysical characteristics of any food products. However, the calculation error at the subcryoscopic temperatures may be 15% to 20%. The development of superchilling as a way of storing meat requires high accuracy of freezing time calculation, including vacuumpacked boneless meat. In the presented article, the authors investigated hydrogen index, cryoscopic temperature, frozen moisture proportion and thermal conductivity factor for beef M. longissimus dorsi samples of NOR and DFD grades. It was found that DFD beef is characterized by 10% to 12% higher values of thermal conductivity factor in comparison with NOR grade. Using the method of regression analysis, the authors developed empirical relationships for calculating the thermal conductivity factor of meat depending on its temperature and pH level. Unlike cryoscopic temperature and frozen moisture proportion, pH is easy to measure and may be easily used on a conveyor belt for more accurate assessment of meat thermophysical properties. With an increase in pH from 5.3 to 7, an increase in cryoscopic temperature is observed from minus 0.94 °C to minus 0.72 °C. It has been shown that one of the factors for the higher cryoscopic temperature and higher pH level of DFD beef is higher water-holding capacity with less strongly bound moisture.
A Review on Clinical Studies on Metabolic Disease Using a Pulse Tonometry Device

Objective: The aim of this research was to investigate the current status and limitations of the clinical use of a pulse tonometry device (PTD). Methods: We searched online medical databases, including Oriental Medicine Advanced Searching Integrated System (OASIS), Research Information Sharing Service (RISS), DataBase Periodical Information Academic (DBpia) and PubMed, for clinical studies of metabolic diseases that used PTD. We selected articles on the clinical application of the PTD but excluded duplicate articles, clinical studies without the PTD, and non-clinical studies. In the first screening, 551 articles were selected. Ultimately, we found 10 articles and classified the articles according to the following diseases: hyperlipidemia, diabetes, overweight and obesity, hypertension, and metabolic disease. Results: Of the 10 selected articles, 4 were focused on hypertension. Two articles were focused on overweight or obesity and two articles were focused on the metabolic disease. Conclusions: This study was the first attempt to conduct a systematic review on clinical studies of metabolic disease using the PTD as a primary outcome. We suggest that the standard of pulse wave parameters and operating procedures for the PTD should be further developed. The results of this study are expected to be used as basic information for the planning and progression of clinical studies of metabolic syndrome using PTD.
Stereotactic body radiation therapy in combination with systemic therapy for metastatic renal cell carcinoma: a prospective multicentre study

Background Tyrosine kinase inhibitors (TKIs) and checkpoint inhibitors have been established as effective treatment for metastatic renal cell carcinoma (mRCC), but only a minority of patients achieve complete response. Additional strategies are necessary to improve these agents’ efficacy. Methods Patients with stable disease for at least 4 months on TKI or checkpoint inhibitors were included. Stereotactic body radiotherapy (SBRT) was delivered to an organ with comparable lesions, where one lesion was in the treatment target and the other one was intentionally left untreated (control lesion). Response in both lesions was scored using the Response Evaluation Criteria in Solid Tumors V.1. 1 criteria 2 months after completion of SBRT. The primary endpoint was the rate of SBRT adverse events, and the secondary endpoints included the rate of reduction in target lesion size. Results 17 patients were enrolled (14 men and 3 women, median age: 54.5 years old). SBRT was delivered to the lungs (n=5), bones (n=4), lymph nodes (n=4), liver (n=1), primary renal cell carcinoma (RCC) (n=1) and locally recurrent RCC (n=2). The equivalent dose in 2 Gy with an alpha to beta ratio of 2.6 was 114 Gy. With a median follow-up of 8 months, the cumulative rate of SBRT-related toxicity (grade 1) was 12% (n=2), consisting of oesophagitis and skin erythema. No grade 2 or higher toxicity was detected. Radiographic response in the target lesion was seen in 13 patients (76%), with complete response in 5 (29%) patients and partial response in 8 (47%), including abscopal effect in 1 patient. Control lesions remained stable in 16 patients. The difference between response in the target and control lesions as judged by the mean sizes of these lesions before and at 2 months after SBRT was statistically significant (p<0.01). Fraction size of 10 Gy or greater was associated with complete response (p<0.01). Conclusion Extracranial SBRT in patients with mRCC treated with TKI or checkpoint inhibitors is well tolerated and could be effective. Trial registration number NCT02864615
Distracted Driving

: The current study aimed to know the nature of the relationship and the effect between fear marketing, which is one of the modern topics in marketing thought, emotional balance and psychological security of the customer, by reducing the severity of fear marketing that customers were exposed to during the Corona crisis. The application was carried out in (Al-Sadr Teaching Hospital, Al-Hakim General Hospital and Martyr Hassan Hallous Hospital) and took into
Hospital Management Maturity Models: Literature Review Modelos de Maturidade de Gestão Hospitalar: Revisão da Literatura

Previous researches show that hospital organizations have initiated improvement programs and invested considerably in the orientation and management of processes, using maturity models to improve structures and learning. In this context, the objective of the present paper is to analyze previous researches related to hospital management maturity models, using the Morton (1994) organizational dimensions’ analysis model, adapted for hospital organizations. The Web of Science, Scopus, Spell, Scielo and BDTD platforms were used for this study. We screened 305 identified papers, published from January 2005 till December 2019, using search descriptors: “Maturity Model” and “Hospital management”. We identified Forty-one articles as eligible for information extraction and analysis. The surveys are classified into five organizational dimensions: Strategy, Structure, Decision Making, Technology, and People. We found a predominance of the technology management dimension in 25 studies, based on the organizational dimensions. The research is essentially related to information systems, supply management and quality management. Although there are different models of hospital management maturity, it was found that the models developed for hospital organizations are mostly related to their technical / operational areas, but in a fragmented way. The present study contributes to a comprehensive literature review of hospital maturity and management models.
Joint optimization of pricing, inventory control and preservation technology investment under both quality and quantity deteriorating

This study presents a model for inventory control of deteriorating product in which both quantity and quality deterioration of the products are considered overtime. In this regard, for maximizing the profit, a new model is developed through two concepts: (1) establishing a decreasing pricing policy that depends on quality in order to prevent the decline in demand and product quality deterioration, and (2) investigating the level of investment in preservation technology as a significant solution in affecting the product deterioration rate. Consequently, it maintains the quality of products and increases their expiration date. In addition, the time value of money and inflation are well noticed in making the calculation of financial flows more accurate. To demonstrate the characteristics of the model, two comparative studies are conducted. The first one emphasizes the increase in the total profit of the inventory system caused by dynamic pricing policy, and another establishes the major impact of paying attention to the time value of money and inflation on making decisions.
A Secure and Reliable Handoff Authentication Protocol with Batch Verification for Internet of Things Environment

– Internet is no longer a mere source of information as the concept of interconnectivity has expanded to connect real things or objects like every kind of machines, cars, homes, hospitals, even our bodies through wearable devices. The concept of interconnectivity of billions of objects (mobile or stationary) providing and exchanging real time data is called Internet of Things (IoT). Myriad IoT applications are touching every aspect of our lives and have the latent to develop the basic quality of life for masses. However, prerequisite for successful implementation of any IoT application is uninterrupted and high-quality network connectivity and handling of huge amounts of personal and sensitive user data which gives rise to the questions of security. A handoff authentication protocol with high security and efficiency is required for enabling secure and seamless handoff of mobile nodes between different access points (AP). However, there are number of challenges in designing a secure handoff protocol for IoT systems like limited power of mobile nodes, computational capability, security and vulnerability of open IoT networks. In this paper, we propose a secure and reliable handoff authentication protocol for such IoT devices. Compared with other well-known similar handoff protocols, the protocol proposed here satisfies all relevant security requirements of handoff such as batch verification, mobile node un-traceability, and anonymity and is unaffected by other attacks like replay attacks and also provides mutual authentication. To demonstrate the security strength (against replay attacks) of our protocol, simulation has been done using AVISPA. Thus, protocol proposed by us is more appropriate for IoT environment compared to the alike protocols.
Predicting Protein Content in Grain Using Hyperspectral Deep Learning

We assess the possibility of performing regression analysis on hyperspectral images utilizing the entire spatio-spectral data cube in convolutional neural networks using protein regression analysis of bulk wheat grain kernels as a test case. By introducing novel modifications of the well-known convolutional neural network, ResNet-18, we are able to significantly increase its performance on hyperspectral images. Our modifications consist of firstly applying a 3D convolution layer enabling learning of spectral derivatives that 2D spatial convolution is unable to learn, and secondly, the application of a (1 × 1) 2D convolution layer that downsamples the spectral dimension. Analysis of the responses learned by the convolution kernels in our modifications reveals meaningful representations of the input data cube that reduce noise and enable the subsequent ResNet-18 to perform more accurate regression analysis.
Application of a Multi-Objective User-Centric Method to Energy Management in Smart Home Considering Consumer Privacy

This paper investigates smart home energy management in consideration of tradeoffs between residential privacy and energy costs. A multi-objective approach that minimizes energy costs and maximizes privacy protection is proposed. This approach leads to a multi-objective optimization problem in which the two objectives addressed in separate dimensions. PSO algorithm that employs a stochastic search used for power scheduling of home appliances and uses deterministic battery control developed accordingly. The proposed approach can avoid some drawbacks faced by conventional weighted-sum methods for multi-objective optimization. Simulations reveal that the proposed approach can maintain a reasonable energy cost while robustly preserving user privacy at a sensible level, finally the numerical results shown and analyzed.
Meeting Island Dwarfs and Giants of the Cretaceous – The Hațeg Country UNESCO Global Geopark, Romania

We review here key geological heritage elements of the Hațeg Country UNESCO Global Geopark (Southern Carpathians, western Romania) represented by latest Cretaceous continental vertebrate fossils and the sedimentary rocks enclosing them. Based on available geological and paleontological evidence, these animals were living on a tropical island. This paleogeographic setting led to the development of some unusual paleobiological traits including dwarfing of the dinosaurs, high levels of endemism, relictual characteristics, as well as uniquely derived anatomical, developmental, metabolic and/or sensory features. These unique characteristics led to the establishment of the Hațeg Country UNESCO Global Geopark over a decade ago. Recently, the Geopark implemented several projects including specific ‘Dinosaur Island’-related thematic trails and visits to key geoheritage elements. We focus on four key fossiliferous areas of the Geopark, highlighting the most important geoheritage elements of each, as well as the most significant geoproducts created based on these particular elements.
Technological Aspects of Green Manufacturing’s Adoption by SMEs: the role of owners

This study examines the role of the owners’ green knowledge of technological aspects (relative advantage, compatibility, and complexity) and green manufacturing’s adoption by small and medium-sized enterprise(s) (SME(s)) producing batik textiles in Indonesia. Six hypotheses are tested using partial least squares (PLS), based on the survey approach. We obtained the data from 131 owners of SMEs and used this to analyze the hypotheses. A direct relationship is tested for between three technological aspects and green manufacturing’s adoption. A moderating relationship is examined between the technological aspects, green manufacturing’s adoption, and the owners' green knowledge. The results suggest that relative advantage and complexity have no significant influence on green manufacturing’s adoption. However, relative advantage shows a significant effect when moderated by the green knowledge of the owners of the SMEs. Compatibility has a direct and significant effect, and it gets stronger when it is moderated by the owner's green knowledge. Meanwhile, complexity does not show a significant effect on either relationship.
Another Underlooked Symptom Among The Overnourished Young: An Analysis of the Self- reported Anterior Knee Pain Scores of the Secondary School Children

Aims: Anterior knee pain is the most common joint complaint among the young and linked with excessive weight by the World Health Organization, signifying that any BMI outside the sample population's average levels was indicative of anterior knee pain syndrome. The study aimed to define the prevalence of anterior knee pain in secondary school children and search the links with weight and overall school performance. Methods: The cross-sectional and descriptive study was conducted in Adana, Turkey, between Sept 15 and Oct 15, 2020. Middle school students aged between 10 and 18 years were included in the study. Anterior knee pain was assessed using the Anterior Knee Pain Scale short form (AKPS-SF), and the numerical rating scale (NRS) was used for pain intensity. Data were collected by questionnaires sent by e-mail. Results: There were 709 replies eligible for analysis. The NRS mean score was 0.78±1.47 for 249 (35.12 %) participants who reported knee pain. The number of students with an AKPS-SF score of ≤40 in the study group was 46 (6.40%). AKPS-SF scores showed weak negative linear associations with weight and the school year (r=-0.346/p=0.019, and r=-0.292/p=0.049, respectively). The AKPS-SF and NRS values showed weak negative linear association (r=0.320/p=0.030). Conclusion: More than a third of the students reported knee pain. The AKPS-SF scores were inversely correlated with weight. Knee examination in physician visits of the young might require more attention.