Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation of Nabiximols Dose to Steady-State Concentrations of Cannabinoids in Urine Samples from Patients with Multiple Sclerosis

Therapeutic drug monitoring of Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD) is based on a complex procedure and is therefore not possible in most laboratories, especially in emergency cases. This work addresses the question of whether therapeutic drug monitoring of nabiximols can be performed using an immunological urine-based test system for cannabinoid abuse. Seventeen patients with multiple sclerosis were included in this study. Administered doses of nabiximols were correlated with immunologically determined urine concentrations of cannabinoids using the DRITM Cannabinoid (THC) Assay. Significant correlations with the administered nabiximols doses were found for creatinine-normalized urine concentrations of cannabinoids without (r = 0.675; p = 0.0015) and after (r = 0.650; p = 0.0044) hydrolysis, as well as for gas-chromatography-coupled mass spectrometry (GC/MS)-measured concentrations of the THC metabolite 11-nor-9-carboxy-Δ9-THC (THC-COOH) in urine samples (r = 0.571; p = 0.0084) by Pearson’s correlation. In addition, doses were significantly correlated with plasma THC-COOH concentrations (r = 0.667; p = 0.0017) measured by GC/MS. Simple immunological cannabinoid measurements in urine samples could provide an estimate of nabiximols dosage, although the correlations obtained here were weak because of the small number of patients observed. Longitudinal monitoring of individual patients is expected to exhibit good results of therapeutic drug monitoring of nabiximols.
DETERMINATION OF THE QUALITY OF RAW MILK FROM BLACK AND WHITE COWS FROM BIGA (CANAKKALE, TURKEY)

In this research, the subject of inquiry is whether the raw milk in Havdan, Guleckoy and Gurcesme villages of Biga region is produced according to food safety standards as well as their somatic cell count and chemical characteristics.For this purpose, 32 samples from Havdan village, 68 from Guleckoy and 16 singular samples from Gurcesme village. Fat, fatless dry material, protein, somatic cell count, freezing point, cryoscope water amount, lactose and density values of the raw samples have been inquired. Somatic cell count of the produced raw milk turned out to be higher than estimated values in “Turkish Food Codex Raw and Heat Treated Drinking Milk Communique Turk Gida Kodeksi Cig ve Isil Islem Gormus Icme Sutleri Tebligi”. With precautions to be followed in companies, remarkable outcomes will be accomplished in order to decrease somatic cell count.
Analysis of Partial Discharge in Rubber a Solid Dielectric Using MATLAB Simulink

Insulators or dielectrics plays an important role in the high voltage power equipment. Various types of insulators are used in high voltage (HV) electrical power systems to protect the power equipments. For the purpose of safety and better efficiency, insulators should be kept in a healthy condition during its operation . As the insulators are not pure due to presence of impurities and cavities inside the insulators, the local electrical breakdown known as partial discharge (PD) takes place due to the High Voltage stresses. It is well evident that most of the insulation failure is caused due to the partial discharge in the insulation material. It gradually degrades the properties of the material which further become the major cause of the failure of the insulation. In this paper, simulation of partial discharge is done using MATLAB for Rubber as insulation material. All the simulation work is done on Rubber which is a solid insulation material. In this study, the dependency of partial discharge on the permittivity of the insulation material is tried to be analyzed with the help of void model made in the very well-known software “MATLAB”.
Circulating microRNAs as the Potential Diagnostic and Prognostic Biomarkers for Nasopharyngeal Carcinoma

microRNAs are endogenous non-coding miRNAs, 19–25 nucleotides in length, that can be detected in the extracellular environment in stable forms, named circulating miRNAs (CIR-miRNAs). Since the first discovery of CIR-miRNAs, a large number of studies have demonstrated that the abnormal changes in its expression could be used to significantly distinguish nasopharyngeal carcinoma (NPC) from healthy cells. We herein reviewed and highlighted recent advances in the study of CIR-miRNAs in NPC, which pointed out the main components serving as promising and effective biomarkers for NPC diagnosis and prognosis. Furthermore, brief descriptions of its origin and unique characteristics are provided.
Analyse harmonique en dimension infinie : paires de Guelfand généralisées

Dans cette these, on commence par demontrer une version generalisee du theoremede Bochner. Ce resultat concerne les paires spheriques d'Olshanski qui sont definies comme des limites inductives de suites croissantes de paires de Guelfand . En utilisant la theorie de la representation integrale de Choquet dans les cones convexes, on etablit une representation de type Bochner pour toute fonction de l'ensemble des fonctions continues, -biinvariantes et de type positif sur Cette representation est donnee via une unique mesure positive et bornee par : Ici designe l'ensemble des fonctions spheriques de type positif sur Ensuite, on considere la paire spherique ou est l'espace des matrices complexes carrees de dimension infinie n'ayant qu'un nombre fini de coefficients non nuls, et est le groupe unitaire de dimension infinie. En utilisant un resultat du a G. Olshanski et A. Vershik, on determine l'ensemble pour la paire spherique consideree. Ce qui nous permet de trouver une version parametree du theoreme de Bochner generalise qu'on utilise pour etablir une representation integrale des fonctions continues de type negatif dans le cas de cette paire
PROMOTING NEW LITERACIES IN SCHOOLS: A proposition to integrate digital literacy in pre-service teacher education

This paper renders a preposition to integrate Digital Literacy into Pre-service teacher education programs in universities and various teacher trainings. The current emergence of high dependence toward digital technology demands teacher education programs to make contribution in order to educate and prepare pre-service teachers to overcome issues related to negative impacts of digital technology. 21st century skills are amongst the core requirement for advanced human resources living in this era. Teacher education curriculum must be able to accommodate sufficient knowledge and resources to enable students becoming digital literate society. As what depicted today among our society, very little attention given toward the way using internet technology securely and politely. Beginner adopters of technology are now spoon fed with very user friendly gadgets and apps that often neglect to learn about effects and impacts the technology caused. In addition, although it still can be argued, often most of the marvels do not really foster productivity for these groups of technology users. Therefore, proposition to raise awareness among pre-service teacher in is emphatically needed.
Public Perceptions of Opioid Use Following Orthopedic Surgery: A Survey

Background: The United States accounts for the majority of prescription opioids consumed worldwide. Recent literature has focused on opioid prescribing patterns among orthopedic surgeons; however, public and patient expectations about postoperative opioid use remain understudied. Purpose: We sought to explore public perceptions of opioid use after elective orthopedic surgery. Methods: We posted a 32-question survey on Amazon Mechanical Turk (MTurk), an online platform with over 500,000 unique registered users that is a validated tool for collecting survey responses in medical research. The survey asked about attitudes regarding opioid use after elective orthopedic surgery and sociodemographic factors, as well as validated assessments of health literacy and patient engagement. Results: Of 727 respondents who completed surveys, nearly half (46%) said they would prefer nonopioid pain medication after elective orthopedic surgery, although 86% said they would expect to be prescribed opioids for 1 week to 1 month postoperatively. About half said they would expect to be prescribed extra opioid medication in case of unexpected pain following surgery, and 50% reported that they would save their pills to treat future pain. Approximately 63% said they would understand their surgeon’s opioid weaning, but over ⅓ said weaning would lead to decreased satisfaction with their surgeon. Roughly ⅔ reported that pain control after surgery would directly affect their opinion of the surgeon. Conclusions: Our survey found that some members of the general public reported expectations regarding postoperative opioid prescribing that could lead to decreased patient satisfaction. These findings suggest the need for further research on the value of preoperative patient education in pain management, on patient expectations of pain control after elective surgery, and on the use of opioids following orthopedic surgery.
Chapter 8 Systems Engineering and Conversational Agents

This chapter describes Conversational Agents (CAs) in the context of Systems Engineering. A CA is a computer program which interacts with a user through natural language dialogue and provides some form of service. CA technology has two points of interest to systems engineers: the use of systems engineering techniques in CA research and the application of CAs in project development. CAs offer the opportunity to automate more complex applications than are feasible with conventional web interfaces. Currently such applications require a human expert in the domain to mediate between the user and the application. The CA effectively replaces the human expert. This chapter reviews the current capabilities of various CA technologies, outlines a development methodology for systems engineering practitioners interested in developing real world applications and suggests a number of directions for systems engineers who wish to participate in CA research.
Composition and Biogeography of Planktonic Pro- and Eukaryotic Communities in the Atlantic Ocean: Primer Choice Matters

Basin-scale biogeographic observations of marine pelagic pro- and eukaryotic communities are necessary to understand forces driving community composition and for providing a baseline to monitor global change. Deep sequencing of rRNA genes provides community composition at high resolution; yet, it is unclear how the choice of primers affects biogeographic patterns. Here, we re-amplified 16S rRNA genes from DNA sampled during R/V Polarstern Cruise ANT28-5 over a latitudinal transect across the Atlantic Ocean from 52°S to 47°N using universal V4-V5 primers and compared the results with those obtained previously with V5-V6 bacteria-specific primers. For validation of our results, we inferred community composition based on 16S rRNA genes of metagenomes from the same stations and single amplified genomes (SAGs) from the Global Ocean Reference Genome (GORG) database. We found that the universal V4-V5 primers retrieved SAR11 clades with similar relative proportions as those found in the GORG database while the V5-V6 primers recovered strongly diverging clade abundances. We confirmed an inverse bell-shaped distance-decay relationship and a latitudinal diversity gradient that did not decline linearly with absolute latitude in the Atlantic Ocean. Patterns were modified by sampling depth, sequencing depth, choice of primers, and abundance filtering. Especially richness patterns were not robust to methodological change. This study offers a detailed picture of the Atlantic Ocean microbiome using a universal set of PCR primers that allow for the conjunction of biogeographical patterns among organisms from different domains of life.
Weighted Nuclear Norms of Transformed Tensors for Nonlocal Hyperspectral Image Denoising

Nonlocal low-rank (LR) hyperspectral image (HSI) denoising approaches have gained a lot of attention because of their capacity to fully take advantage of spectral correlation and nonlocal self-similarity (NLSS). Most of the existing LR-tensor-based approaches use tensor singular value decomposition (t-SVD). However, fixed discrete Fourier transform-based t-SVD may compromise the low rank structure. Additionally, these approaches restrict flexibility in dealing with HSI data because it treats the singular values of each frontal slice equally. To overcome these issues, we propose a method using weighted nuclear norms of transformed tensors (WNNTTs) for nonlocal HSI denoising. Our approach exploits the low-rankness in both the spectral and NLSS dimensions. We also compare our proposed method with other t-SVD-based LR-tensor regularization methods under the same framework. Our experiments show that our WNNTT approach outperforms several state-of-the-art nonlocal t-SVD based methods on open HSI data.
Composite Materials Based on UPE Resin and Coffee Husks

In this work, two series of composite materials based on unsaturated polyester (UPE) resin and coffee husk powder were fabricated by a hot pressing method using methyl ethyl ketone peroxide (MEKP) as an initiator. The gel time of UPE resin is 32 ± 2 min with 0.5 wt % of MEKP was determined according to ASTM D2471. The differential scanning calorimetry (DSC) reveals that the curing process should be post-cured. The composite panels were fabricated with the size of 17x17x4 mm. With a bulk density of 1.35 g/cm3, two series of the composite material with two types of coffee husk sizes in the range of 0.150-0.315 mm (CH1) and 0.315-0.630 mm (CH2) were investigated. In each series, the coffee bean husk content varies by 45, 50, 55, 60, 65, and 70 wt %, respectively. The obtained composite materials were evaluated for mechanical properties such as flexural and tensile strength according to ASTM D790 and D638, respectively. The results show that the mechanical properties at the reinforcement content of 50% are the best with the flexural strength, flexural modulus, tensile strength and tensile modulus of the CH1 are 8.5, 616.0, 3.9, and 999.8 MPa, respectively. Meanwhile, they are18.7 MPa, 1888.5 MPa, 8.6 MPa, 8.6 MPa, and 1889.0 MPa, respectively for the CH2.
Metanephrine negative pheochromocytoma: a rare case report of dopamine-secreting tumor in an adolescent neurofibromatosis type 1 patient

Pheochromocytoma (PCC) occurs in 4% of pediatric neurofibromatosis type 1 (NF1) patients and is characterized by epinephrine and norepinephrine secretion. Herein, we report the first case of dopamine-secreting PCC in a 13-year-old patient with NF1. A left adrenal mass was incidentally found on abdominal computed tomography (CT) during hypertension workup. Fractionated 24-hour urine metanephrine excretion was normal, but urine dopamine level was elevated. Focal 123I-metaiodobenzylguanidine uptake was observed on single-photon emission tomography/CT (SPECT/CT). Surgery was delayed due to small tumor size, vague symptoms, and increased dopamine level. After 6 months, focal significant uptake of the lesion on 6‐[18F]fluoro‐L‐3,4‐dihydroxyphenylalanine (18F-FDOPA) PET/CT increased and tumor size increased on abdominal CT. Laparoscopic resection was performed, and the mass was histologically confirmed as PCC. Currently, the vital signs of the patient are stable, urine dopamine level is normal, and there is no abnormal uptake of 18F-FDOPA PET/CT. This study reports a rare case of dopamine-secreting PCC. A multidisciplinary approach and focused examination are needed in metanephrine-negative, high-risk PCC patients.
DeepWings©: Automatic Wing Geometric Morphometrics Classification of Honey Bee (Apis mellifera) Subspecies Using Deep Learning for Detecting Landmarks

Honey bee classification by wing geometric morphometrics entails the first step of manual annotation of 19 landmarks in the forewing vein junctions. This is a time-consuming and error-prone endeavor, with implications for classification accuracy. Herein, we developed a software called DeepWings© that overcomes this constraint in wing geometric morphometrics classification by automatically detecting the 19 landmarks on digital images of the right forewing. We used a database containing 7634 forewing images, including 1864 analyzed by F. Ruttner in the original delineation of 26 honey bee subspecies, to tune a convolutional neural network as a wing detector, a deep learning U-Net as a landmarks segmenter, and a support vector machine as a subspecies classifier. The implemented MobileNet wing detector was able to achieve a mAP of 0.975 and the landmarks segmenter was able to detect the 19 landmarks with 91.8% accuracy, with an average positional precision of 0.943 resemblance to manually annotated landmarks. The subspecies classifier, in turn, presented an average accuracy of 86.6% for 26 subspecies and 95.8% for a subset of five important subspecies. The final implementation of the system showed good speed performance, requiring only 14 s to process 10 images. DeepWings© is very user-friendly and is the first fully automated software, offered as a free Web service, for honey bee classification from wing geometric morphometrics. DeepWings© can be used for honey bee breeding, conservation, and even scientific purposes as it provides the coordinates of the landmarks in excel format, facilitating the work of research teams using classical identification approaches and alternative analytical tools.
Robotic role theory: an integrative review of human–robot service interaction to advance role theory in the age of social robots

PurposeSocial robots increasingly adopt service roles in the marketplace. While service research is beginning to unravel the implications for theory and practice, other scientific disciplines have amassed a wealth of empirical data of robots assuming such service roles. The purpose of this paper is to synthesize these findings from a role theory perspective with the aim of advancing role theory for human–robot service interaction (HRSI). Design/methodology/approachA systematic review of more than 10,000 articles revealed 149 empirical HRSI-related papers across scientific disciplines. The respective articles are analyzed employing qualitative content analysis through the lens of role theory.FindingsThis review develops an organizing structure of the HRSI literature across disciplines, delineates implications for role theory development in the age of social robots, and advances robotic role theory by providing an overarching framework and corresponding propositions. Finally, this review introduces avenues for future research.Originality/valueThis study pioneers a comprehensive review of empirical HRSI literature across disciplines adopting the lens of role theory. The study structures the body of HRSI literature, adapts traditional and derives novel propositions for role theory (i.e. robotic role theory), and delineates promising future research opportunities.
Changes of Sensory Quality, Flavor-Related Metabolites and Gene Expression in Peach Fruit Treated by Controlled Atmosphere (CA) under Cold Storage

Controlled atmosphere (CA) has been used to alleviate chilling injury (CI) of horticultural crops caused by cold storage. However, the effects of CA treatment on peach fruit sensory quality and flavor-related chemicals suffering from CI remain largely unknown. Here, we stored peach fruit under CA with 5% O2 and 10% CO2 at 0 °C up to 28 d followed by a subsequent 3 d shelf-life at 20 °C (28S3). CA significantly reduced flesh browning and improved sensory quality at 28S3. Though total volatiles declined during extended cold storage, CA accumulated higher content of volatile esters and lactones than control at 28S3. A total of 14 volatiles were positively correlated with consumer acceptability, mainly including three C6 compounds, three esters and four lactones derived from the fatty acid lipoxygenase (LOX) pathway. Correspondingly, the expression levels of genes including PpLOX1, hyperoxide lyase PpHPL1 and alcohol acyltransferase PpAAT1 were positively correlated with the change of esters and lactones. CA elevated the sucrose content and the degree of fatty acids unsaturation under cold storage, which gave us clues to clarify the mechanism of resistance to cold stress. The results suggested that CA treatment improved sensory quality by alleviating CI of peach fruits under cold storage.
Escherichia coli Can Eat DNA as an Excellent Nitrogen Source to Grow Quickly

Is DNA or RNA a good nutrient? Although scientists have raised this question for dozens of years, few textbooks mention the nutritional role of nucleic acids. Paradoxically, mononucleotides are widely added to infant formula milk and animal feed. Interestingly, competent bacteria can bind and ingest extracellular DNA and even integrate it into their genome. These results prompt us to clarify whether bacteria can “eat” DNA as food. We found that Escherichia coli can grow well in the medium with DNA as carbon and nitrogen sources. More interestingly, in the presence of glucose and DNA, bacteria grew more rapidly, showing that bacteria can use DNA as an excellent nitrogen source. Surprisingly, the amount of DNA in the culture media decreased but its length remained unchanged, demonstrating that E. coli ingested long DNA directly. The gene expression study shows that E. coli mainly ingests DNA before digestion and digests it in the periplasm. Bifidobacterium bifidum can also use DNA as the nitrogen source for growth, but not efficiently as E. coli. This study is of great significance to study DNA metabolism and utilization in organisms. It also lays a foundation to understand the nutritional function of DNA in intestinal flora and human health.
Incidence, Risk Factors, and Outcomes of Severe Hypoxemia After Cardiac Surgery

Background Hypoxemia is common in patients undergoing cardiac surgery, however, few studies about severe hypoxemia (SH) after cardiac surgery exist. The objectives of this study were to clarify the incidence, risk factors, and outcomes of SH after cardiac surgery. Methods Patients undergoing cardiac surgery from 2016 to 2019 in a single center were enrolled and were divided into two groups based on whether postoperative SH developed. Independent risk factors for SH were identified by univariate and multivariate analysis. Model selection statistics were applied to help determine the most parsimonious final model. Results Severe hypoxemia developed in 222 of the 5,323 included patients (4.2%), was associated with poorer clinical outcomes. Six independent risk factors for SH after cardiac surgery were identified by multivariate analysis, such as surgical types, white blood cell (WBC) count, body mass index (BMI), serum albumin, cardiopulmonary bypass (CPB) time, and intraoperative transfusion of red blood cells (RBCs). After comprehensively considering the discrimination, calibration, and simplicity, the most appropriate and parsimonious model was finally established using four predictors, such as WBC count, BMI, CPB time, and intraoperative transfusion of RBCs. A nomogram and a web-based risk calculator based on the final model were constructed to facilitate clinical practice. Patients were stratified into three risk groups based on the nomogram and clinical practice. Conclusion Severe hypoxemia was common after cardiac surgery and was associated with poorer clinical outcomes. A parsimonious final model with good discrimination, calibration, and clinical utility was constructed, which may be helpful for personalized risk assessment and targeted intervention.