Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of I-gel and Laryngeal Mask Airway Proseal for Clinical Performance in Short Surgical Procedures under General Anaesthesia: A Study Protocol

Background: Maintenance of proper airway is one of the most critical duties of an anesthetist during surgical and operative procedures. Facemask and endotracheal tube are traditionally used for airway delivery and maintenance. Supraglottic airway devices(SAD) became a normal fixture in managing airway. I-gel is novel supraglottic device, which is thermoelastic, single use, disposable material. This study compares the Supraglottic Airway Devices I-gel & Laryngeal Mask Airway Proseal in clinical performance in short surgical procedures under general anaesthesia. Methodology: This Prospective observational comparative study will be conducted at Dept. of Anesthesia, AVBRH, Wardha. 60 patients will be enrolled and randomized in two groups. In Group I, I-gel will be used whereas in Group P, Proseal LMA will be used for spontaneous ventilation during short General anaesthesia procedures. Data will be compiled and statistical analysis will be done by using appropriate statistical tests. Expected Results: I-gel can be expected to be superior in terms of attempts and duration needed for insertion, hemodynamic stability, and post-operative complications compared to Proseal LMA. Conclusion: I-gel proves to be superior to PLMA regarding insertion ease and other operational issues.
Single Nucleotide Polymorphism of Padi4 Gene )Rs11203367( in A Sample of Rheumatoid Arthritis Iraqi Patients

Rheumatoid arthritis (RA) is an inflamed chronic autoimmune disease in which genetics and environment are the most common causative factors. Peptidyl arginine deiminase type IV (PADI4) is an enzyme responsible for the posttranslational conversion of arginine residues into citrulline. Real-time polymerase chain reaction (RT-PCR) is a specific technique was used to determine gene polymorphism. One hundred twenty three patients molecularly confirmed with RA and sixty healthy control subjects were recruited. By applying the logistic regression analysis, some alleles and genotypes were associated with susceptibility to RA. Under the allelic model, C allele frequency was significantly increased in RA patients compared to control (58.5 vs. 46.7%; p = 0.034). The odds ratio (OR) of such difference was 1.61 (95% CI: 1.04 – 2.50). Under the dominant model, TC+CC genotype frequency was higher in patients than in control (82.1vs. 65.5%; OR = 2.47; 95% CI: 1.23 – 4.97; p = 0.015). Under the codominant model, frequency of the heterozygous genotype TC was significantly increased in patients compared to control (47.1 vs. 36.7%; OR = 2.52; 95% CI: 1.17 – 5.41; p = 0.028). The results revealed the role of the rs11203367 variant of padi4 gene in susceptibility to RA in Iraqi patients.
RIOK1 is associated with non-small cell lung cancer clinical characters and contributes to cancer progression

Lung cancer is one of the most common malignant tumors and is currently the leading cause of cancer-related deaths worldwide. Although the treatment strategy has been significantly improved, the prognosis of lung cancer patients is still quite poor. RIOK1 has been reported to be highly expressed in non-small cell lung cancer (NSCLC), however, its clinical significance and biological function are still largely unknown in lung cancer. Using western blot and immunohistochemistry, we showed that RIOK1 was highly expressed in NSCLC tissues and correlated with advanced stage and poor prognosis. Furthermore, knockdown of RIOK1 could inhibit proliferation, migration, and invasion in NSCLC cells and tumorigenesis in vivo through AKT, Cyclin B1, MMP2, and EMT pathway. Furthermore, cell viability and apoptosis assays demonstrated that RIOK1 maintained NSCLC cell survival and reduced apoptosis rate when cells were treated with cisplatin. Western blot analysis demonstrated that RIOK1 depletion caused up-regulated protein expression of cleaved PARP and Caspase-3 in NSCLC cells. These findings revealed a novel function of RIOK1 in non-small cell lung cancer progression and suggest that RIOK1 might become a promising diagnostic and therapeutic target for this disease.
Antiproliferative and Antimicrobial Activities of Citrus limon (L.) Burm. f. Stem Bark Extract

Citrus limon is traditionally use for the treatment of several ailments including infectious diseases. This study was designed to evaluate antiproliferative and antimicrobial activities of Citrus limon stem bark extract. The plant material was collected, authenticated, air-dried and pulverized. Two hundred grams of powdered plant material was extracted into distilled methanol by cold maceration and the extract was concentration in a vacuo. The extract was subjected to in vitro phytochemical screening and bioassays including; antiproliferative assay (Sorghum bicolor radicle and Allium cepa root growth inhibitory assays) and antimicrobial susceptibility against Escherichia coli, Staphylococcus aureus, Citrobacter ferundii and Candida albicans. Phytochemical evaluation detected the presence of alkaloids, flavonoids and cardiac glycoside in the extract. The extract displayed concentration-dependent antiproliferative activity with an IC50 of 1.10±0.07 and 0.62±0.04 mg/mL compared to cyclophosphamide (IC50 of 0.17±0.02 and 0.83±0.08 mg/mL) for Sorghum bicolor radical growth and Allium cepa root growth inhibitory assays, respectively. The extract displayed antimicrobial activity with the highest activity against Escherichia coli and Citrobacter ferundii with activity indices of 0.68 and 0.59, respectively compared to gentamicin. Citrus limon stem bark extract displayed antiproliferative and antimicrobial activities.
Synthesis of Terpineol from Alpha-Pinene Catalyzed by α-Hydroxy Acids

We report the use of five alpha-hydroxy acids (citric, tartaric, mandelic, lactic and glycolic acids) as catalysts in the synthesis of terpineol from alpha-pinene. The study found that the hydration rate of pinene was slow when only catalyzed by alpha-hydroxyl acids. Ternary composite catalysts, composed of AHAs, phosphoric acid, and acetic acid, had a good catalytic performance. The reaction step was hydrolysis of the intermediate terpinyl acetate, which yielded terpineol. The optimal reaction conditions were as follows: alpha-pinene, acetic acid, water, citric acid, and phosphoric acid, at a mass ratio of 1:2.5:1:(0.1–0.05):0.05, a reaction temperature of 70 °C, and a reaction time of 12–15 h. The conversion of alpha-pinene was 96%, the content of alpha-terpineol was 46.9%, and the selectivity of alpha-terpineol was 48.1%. In addition, the catalytic performance of monolayer graphene oxide and its composite catalyst with citric acid was studied, with acetic acid used as an additive.
Improving elementary school teachers’ competence in composing thematic songs: An action research

The existence of thematic songs in theme books in Elementary Schools appears to be ineffective in supporting the attainment of learning objectives. In addition to the limited number of songs, the lack of appropriate lyrics and materials remains one of the causes. Due to this, the most possible alternative solution is for teachers to compose their own thematic songs. However, elementary school teachers lack the ability in composing thematic songs, hence they need to be given related training. The purpose of this research is to increase elementary school teachers’ capacity for creativity and innovation in order to produce thematic songs. The research employed a participatory action research design, involving 55 teachers from 16 districts and cities in Indonesia. The data were collected using survey, observation, and interview. The results showed that these teachers were able to develop their ability to compose thematic songs. Teachers were also able to utilize technology in the composing process. Based on the aforementioned findings, it can be stated that elementary school teachers can improve themselves and innovate effectively with planned and regulated training.
Standard French vowel formants vs. characteristic tones of Rousselot: tuning forks technique reconsidered

: In the current study the historical instrumental method of speech analysis using tuning forks is considered from a new point of view. The set of tuning forks for French oral vowels with the engraved frequency values described by Rousselot in the early 20 th century is used in a number of experiments. Firstly, the frequencies of the tuning forks were measured with the use of modern methods of acoustic analysis. The accuracy of their values was proved, which allowed their comparison with modern data on French vowel formant frequencies. Eventually, the perception experiment was conducted to find out modern native speakers’ perception strategies.
Effects of Game-Based Learning on Students’ Achievement in Science: A Meta-Analysis

This meta-analysis examines the effects of game-based learning (GBL), compared with traditional instructional methods, on the science achievement of students, ranging from primary school to university. Results from the 41 primary studies of 6256 participants showed heterogeneity among effect sizes. The random effects model results showed a positive effect (g = .705, 95% CI = [.603, .807], p < .001), suggesting that students learned substantially more via GBL than traditional instruction. Additionally, moderation analysis found that the link between GBL and science achievement was stronger (a) among students in Eastern countries than Western countries; (b) among primary school students than undergraduates, junior or senior secondary school students; (c) on quizzes, final exams, and course grades than assignment scores; (d) for interventions between 4 hours and 1 week, smaller for those less than 4 hours, and smallest for those over 1 week; and (e) slightly in later publication years.
Quasi-Analytical Solution of Optimum and Maximum Depth of Transverse V-Groove for Drag Reduction at Different Reynolds Numbers

Reducing the skin-friction drag of a vehicle is an important way to reduce carbon emissions. Previous studies have investigated the drag reduction mechanisms of transverse grooves. However, it is more practical to investigate which groove geometry is optimal at different inflow conditions for engineering. The purpose of this paper is to establish the physical model describing the relationship between the dimensionless depth (H+=Huτ/υ) of the transverse groove, the dimensionless inflow velocity (U∞+=U∞/uτ), and the drag reduction rate (η) to quasi-analytically solve the optimal and maximum transverse groove depth according to the Reynolds numbers. Firstly, we use the LES with the dynamic subgrid model to investigate the drag reduction characteristics of transverse V-grooves with different depths (h = 0.05~0.9 mm) at different Reynolds numbers (1.09×104~5.44×105) and find that H+ and U∞+ affect the magnitude of slip velocity (Us+), thus driving the variation of the viscous drag reduction rate (ην) and the increased rate of pressure drag (ηp). Moreover, the relationship between Us+, ην, and ηp is established based on the slip theory and the law of pressure distribution. Finally, the quasi-analytical solutions for the optimal and maximum depths are solved by adjusting Us+ to balance the cost (ηp) and benefit (ην). This solution is in good agreement with the present numerical simulations and previous experimental results.
Cancer Patient-Reported Experience Measures (PREMs) Regarding the Policies Implemented to Contain the Spread of Sars-CoV-2 and Vaccination Campaign at Veneto Institute of Oncology

Purpose The SARS-CoV-2 spread has impacted Healthcare systems. COVID-19 pandemic has had consequences for patients with cancer, being associated with delays in diagnosis, in treatment And follow-up care, increase in overall infection rates and higher mortality. A survey on COVID-19 and a vaccination-questionnaire were developed at different times of the outbreak, to evaluate cancer patient-reported experience measures (PREMs) on the policies implemented to reduce the infection from SARS-CoV-2 and on the timing and methods of COVID-19 vaccination. Patients and Methods The survey was distributed to all patients accessing the Institute during the “first-wave” Of the pandemic, evaluating patients’ concerns about the pandemic, the pandemics’ consequences on their cancer care, and their perception Of the measures adopted to limit the infection spread. The vaccination-questionnaire was proposed to 10% of the first 5297 cancer patients vaccinated with two doses of the Pfizer-BioNTechCOVID-19 vaccine. This questionnaire aimed at assessing the degree Of satisfaction with the Institutional vaccination campaign and vaccination-related adverse events. Results From May 18th 2020 to June 15th 2020 the survey was completed by 3238 patients. Most of the responders expressed concern on the pandemic yet acknowledging their oncological disease as a priority. Measures implemented were appreciated by patients. Telemedicine was positively evaluated and the absence of the caregiver during the visit did not determine discomfort for two thirds of patients. From March 6th 2021 to May 8th 2021 the vaccination-questionnaire was completed by 357 patients. The 98.8% were satisfied with the vaccination campaign. No serious vaccination-correlated adverse events were reported. No patient had to delay/discontinue chemotherapy due to vaccination. Conclusion PREMs during COVID-19 pandemic and related vaccination can provide important information to help reorganization of the health care systems for cancer care. Patients’ feedback on the organizational changes implemented in the emergency period are essential for healthcare improvement and to help informed choices that are consistent with patients’ needs.
Overexpression of MdZAT5, an C2H2-Type Zinc Finger Protein, Regulates Anthocyanin Accumulation and Salt Stress Response in Apple Calli and Arabidopsis

Zinc finger proteins are widely involved and play an important role in plant growth and abiotic stress. In this research, MdZAT5, a gene encoding C2H2-type zinc finger protein, was cloned and investigated. The MdZAT5 was highly expressed in flower tissues by qRT-PCR analyses and GUS staining. Promoter analysis showed that MdZAT5 contained multiple response elements, and the expression levels of MdZAT5 were induced by various abiotic stress treatments. Overexpression of MdZAT5 in apple calli positively regulated anthocyanin accumulation by activating the expressions of anthocyanin biosynthesis-related genes. Overexpression of MdZAT5 in Arabidopsis also enhanced the accumulation of anthocyanin. In addition, MdZAT5 increased the sensitivity to salt stress in apple calli. Ectopic expression of MdZAT5 in Arabidopsis reduced the expression of salt-stress-related genes (AtNHX1 and AtABI1) and improved the sensitivity to salt stress. In conclusion, these results suggest that MdZAT5 plays a positive regulatory role in anthocyanin accumulation and negatively regulates salt resistance.
Artificial Learning for Part Identification in Robotic Disassembly Through Automatic Rule Generation in an Ontology

With the increasing concern for sustainable treatment of waste electrical and electronic equipment (WEEE), methods of robotic disassembly of WEEE to address various challenges of handling end-of-life products has been a trend in research. The main challenge for robotic disassembly is the uncertainties of product structures, models, and conditions. The ability of a robotic disassembly system to learn new product structures and reason about existing knowledge of product structure is vital to addressing this challenge. This paper presents an effective learning framework and demonstrates the system’s ability to learn relevant information for the disassembly of LCD monitors. The learning algorithm uses a database of previous disassembly experience of the product family and analyses it to create rules and relations between the components and disassembly concepts before expanding the generic ontology for future disassembly runs. The results show a significant increase from 11% to 87% in successful part identification of LCD monitors after being trained on past disassembly experience. The proposed method can greatly aid robotic disassembly of any product family. Note to Practitioners—Robotic systems struggle to disassemble electronic waste due to the complexity and uncertainties in end-of-life products and variations in models and parts. An artificially intelligent method is proposed to enable a robotic disassembly system to address these uncertainties. The method uses a computing technique resembling the cognitive reasoning of a human mind in the form of a map of disassembly concepts connected by relationships. Artificial learning by the robotic system occurs by collecting data from previous disassembly runs of a product, analyzing the data, and expanding the map of knowledge with new concepts and relational rules found. The approach is tested on the robotic disassembly system’s ability to identify parts of LCD monitors which possess uncertainties. An improvement from 11% of successful part identification to 87% is found, which demonstrate that learning has taken place. This approach will be implemented in a larger robotic disassembly system and tested with real robotic disassembly runs in the near future.
Evaluating the Effect of Mixing Process on Nano-Clay Modified Binders Using the Pull-Off Test Method

Bonding strength of bitumen is one of the most important properties in need of independent evaluation. Conducting a pull-off test to determine the bonding strength of bitumen can be done using the Universal Test Machine (UTM). In this work, the UTM was used to investigate the effect of adding an additive to with a 60/70 penetration grade bitumen; the additive used was nano-clay at a percentage of 2% and 4%. A designed mold was fabricated and used with granite and stainless steel substrates. The investigation covered the influence of variation in the mixing process (mixing duration and power of rotation during mix) on the bonding strength of the samples. X-ray diffraction (XRD) was used to discover the nano-clay exfoliation within the binder structure. Also, empirical tests - penetration and softening point tests - were conducted. The results varied according to variation in percentage of additive, substrates used and the mixing process. The bonding strength and softening point results were able to identify the effect of the additive, and were able to detect changes caused by the adding condition; both were very well correlated, unlike the penetration test result which had a weaker correlation with bonding strength.
Digital Divide Issues Affecting Undergraduates at a Hispanic-Serving Institution during the Pandemic: A Mixed-Methods Approach

Before COVID-19, digital divide research among college students was scarce, reinforcing the idea that technology access was nearly universal, with few demographic differences. Pandemic-era research found some technical challenges, but most studies were conducted nationally or at research-intensive (R1) universities, indicating a paucity in research among underrepresented populations, notably Hispanic-Serving Institutions (HSI). This mixed-methods study aimed to assess digital inequities and pandemic-related technological challenges at an HSI, with high percentages of low-income and first-generation students. This study also sought to determine if findings were consistent with national and R1 research. We surveyed a representative sample of 2188 undergraduates and conducted semi-structured interviews with 26 students. Results showed many students had inadequate technology. Just 79% had the optimal combination of smartphone plus laptop or desktop, with first-generation, low-income, Black, and older students significantly less likely to have this combination and often having to share devices within their households. Internet quality significantly affected all coursework-related challenges, as almost half of students with unstable internet reported trouble completing assignments compared to 20% with stable internet. Finally, results suggest the digital divide may be more prevalent at HSIs than previously studied institutions, while also offering insight into how these challenges affect similar universities.
Relationship between Dynamics of TNF-α and Its Soluble Receptors in Saliva and Periodontal Health State

Soluble tumor necrosis factor receptors 1 and 2 (sTNF-R1 and sTNF-R2) are reported to protect against excessive TNF-α, a primary mediator of systemic responses to infection. This study aimed to investigate the levels of TNF-α, sTNF-R1, and sTNF-R2 in saliva and to verify whether their dynamics are associated with periodontal health. The study population comprised 28 adult patients. Probing pocket depth, clinical attachment level, and bleeding on probing were assessed, and periodontal inflamed surface area (PISA) was calculated. Stimulated saliva was collected before the oral examinations. The levels of TNF-α, sTNF-R1, sTNF-R2, and total protein (TP) in saliva samples were determined. There were significant positive correlations between TNF-α, sTNF-R1, and sTNF-R2 to TP (/TP) in stimulated saliva. Moreover, there were significant positive correlations between PISA and sTNF-R2/TP. Stepwise multiple regression analysis revealed that PISA was significantly associated with sTNF-R2/TP in saliva; however, TNF-α/TP was not significantly associated with PISA. In conclusion, this study demonstrates that significant relationships exist between the salivary levels of TNF-α and sTNF-R1, and that salivary sTNF-R2 is associated with the expansion of inflamed periodontal tissue.
Currency Mismatches and Public Debt Management: What is Effective Strategy for Developing Country?

Developing countries are often confronted with debt problems because of the risks of over-indebtedness and especially the heavy default history. In such a context, debt management must be rigorous and guarantee a stable debt. However, such management is difficult in an environment marked by liabilities denominated in foreign currencies and assets denominated in domestic currencies, i.e., an environment of currency mismatches. The objective of this paper is then to determine, from a partial equilibrium model, an effective strategy for managing public debt in the presence of currency mismatches. We conclude that it is preferable to arbitrate between a debt denominated in foreign currency and a debt denominated in domestic currency. We also find that this arbitation depends on the financing conditions, i.e. the domestic interest rate and the risk premium on foreign debt. More precisely, when the government's objective is to minimize the interest burden, it is preferable to issue more local currency debt and less foreign currency debt, as long as the domestic interest rate is lower than the risk premium on foreign debt.