Miracle-dz/UniFAR-FTUs huggingface dataset:
ADSORÇÃO DE ÁCIDOS GRAXOS LIVRES PRESENTES EM BIOCOMBUSTÍVEIS GERADOS POR CRAQUEAMENTO TERMOCATALÍTICO EMPREGANDO ALUMINA ATIVADA COMO ADSORVENTE

RESUMO – A cinética de adsorção de ácidos graxos livres (ácidos carboxílicos) residuais presentes em frações destiladas (faixa de temperatura de ebulição de 305400°C) provenientes do Produto Líquido Orgânico (PLO) obtido por craqueamento termocatalítico de óleo vegetal foi investigada pela determinação da variação da concentração de ácidos graxos livres nos biocombustíveis antes e depois dos experimentos de adsorção com 5% de alumina ativada termicamente. A capacidade da alumina ativada como adsorvente em relação à adsorção de ácidos graxos livres foi avaliada através de estudos cinéticos em sistema de batelada à temperatura de 26oC (temperatura ambiente). Os resultados experimentais indicam que a concentração de ácidos graxos livres presentes em quatro frações destiladas (biocombustíveis) foi reduzida após a adsorção com 5% em massa de alumina ativada, sendo que o melhor resultado foi alcançado para a alimentação com menor teor de AGLs residuais, em que 69,03% dos ácidos graxos livres foram removidos da referida alimentação. Apesar de ter sido observado que a taxa inicial de adsorção aumenta com o incremento de AGLs na alimentação, quanto maior o teor de AGL na alimentação, menor o efeito da remoção de AGLs em relação à quantidade inicial. Portanto, os resultados mostraram que a alumina ativada termicamente na proporção usada neste trabalho é um adsorvente promissor na remoção dos ácidos graxos livres e que o teor de AGLs tem efeito direto sobre o desempenho da adsorção dos mesmos.
Development of Electrochemical Biosensors for Potential Liver Disease Detections of ALT & AST and Application of Ionic Liquid into Biosensing-Modified Electrodes

xviii 1. Background and introduction. 1 1.1. Impact of hepatitis‐related liver diseases worldwide. 1 1.2. Biomarkers for screening hepatitis‐related liver disease. 2 1.3. Biosensors. 3 1.3. 1. Applications of biosensors. 4 1.3. 2 Immobilization technique of a biological recognition element. 4 1.3. 3. Electrochemical based biosensors.6 1.4. Microfabrication technologies for biosensors. 7 1.4. 1. Thick-film processing on biosensor fabrication: screen-printing & ink-jet printing . 8 1.5. Amperometric hydrogen peroxide (H2O2)-based aminotransferase (ALT/AST) biosensors and operating principles.9 1.5. 1. The importance of H2O2-based biosensor. 9 1.5. 2. The importance of aminotransferase (ALT/AST) biosensors. 10 1.5. 3. Electrochemical principles of biosensor: cyclic voltammetry and i-t relationship.11
Healthcare-associated Invasive Klebsiella Pneumoniae Infections in Chinese Pediatric Patients: Risk Factors, Outcomes and Antimicrobial Resistance

Background:High prevalence of carbapenem-resistant Klebsiella pneumoniae (CRKP) has become a serious clinical concern in China. This study first described the risk factors, outcomes and antimicrobial resistance pattern of healthcare-associated KP infections in Chinese pediatric patients.Methods:This retrospective study was conducted in the nine tertiary hospitals during 2016-2018. The 324 pediatric inpatients who had KP isolated from blood and cerebrospinal fluid and had complete medical records reviewed were included. We analyzed the risk factors, outcomes and antimicrobial resistance pattern of KP-infected patients based on comparison between healthcare-associated KP infections (HAI) and community-acquired infections.Result:Of the 324 enrolled patients, 275 (84.9%) were clinically defined as HAI, including 175 (63.6%) neonates and 100 (36.4%) aged >28 days. The overall prevalence of CRKP was 35.8% (40.4% in HAI verse 10.2% in CAI, P <0.05). Prematurity (odds ratio (OR):37.07, 95% CI:8.29-165.84), hematologic malignancies (OR:15.52, 95% CI:1.89-127.14) and invasive mechanical ventilation (OR:13.09, 95% CI: 1.66-103.56) were independent risk factors for HAI. Patients from rural area (OR: 1.78, 95% CI:1.06-2.99), invasive mechanical ventilation (OR:1.79, 95% CI: 1.01-3.19), antibiotic therapy prior to admission (OR: 1.88, 95% CI:1.07-3.29) and prior hospital stay in the past 30 days (OR: 2.17, 95% CI:1.26-3.73) were associated with healthcare-associated CRKP infections. Organ dysfunction was independently correlated with poor outcomes (OR:2.92, 95% CI: 1.23-6.95)Conclusions:Pediatric invasive KP infections and high prevalence of CRKP infections largely occurred in health-care settings in China. The adequate and intensified infection control measures should be focused on high-risk hematologic patients, neonatal patients and intubated patients.
Multi level Recommendation System of College Online Learning Resources Based on Multi Intelligence Algorithm

In order to accurately grasp the actual search habits of online learning objects and establish a more reasonable multi-level recommendation scheme, a multi-level recommendation system of online learning resources in Colleges and Universities Based on multi intelligent algorithm is designed. With the help of the given topology, the multi-level recommendation behavior in the system is analyzed. Then combined with various types of Resource Recommendation application units, the hardware execution environment of the system is built. On this basis, a multiple intelligent neural network model is established. Combined with multi intelligent recommendation technology, the actual Resource Recommendation behavior related to learning objects is determined, and the software execution environment of the system is built. Combined with the structure of relevant hardware equipment, the design of multi-level recommendation system for online learning resources in colleges and universities based on multiple intelligent algorithms is completed. The experimental results show that the system designed in this paper records a larger number of learning objects, but the recommended waiting time is relatively shorter. The system can accurately grasp the actual search habits of online learning objects and establish a more reasonable multi-level recommendation implementation scheme.
Effects of ICT Application (Information Communication and Technology) Towards the Transformation of Regional Bureaucracy

Digital-based government has become an interesting issue when the expectations of the 2019 presidential and vice presidential elections, both the 01 Jokowi-Ma’ruf and 02 Prabowo-Sandi pair have the same passion for carrying out digital-based government programs. The presence of digital government should not only be selling campaigns, but must be able to be present in the midst of society by encouraging the application of Information, communication and technology (hereinafter abbreviated as ICT) in various public services, especially during the Covid-19 pandemic. The rapid development of technology has changed the paradigm of public service and governance, from being hierarchical to open and flexible, so that it has an impact on organizational culture and the acceleration of bureaucratic transformation in government. This study aims to find out how ICT plays a role in building organizational culture, making organizational structures, formulating regional policy visions and their influence on bureaucratic transformation, and also aims to look at the factors that influence indicators and bureaucratic transformation. The results showed that the application of ICT in the government of Sidenreng Rappang Regency had a real and significant effect on organizational culture and organizational structure only while vision and policies had not yet been influential but together had an impact on the acceleration of the bureaucratic transformation process. The dominant factor that affects is project-shaped activities, where structural officials have high responsiveness so that they can have a positive influence on bureaucratic transformation.
Assessment of morbidity and mortality factors affecting geriatric trauma: A comprehensive cross-sectional study in Central India

India is the second-most populous country in the world has about 76.6 million people at or over the age of 60, constituting above 7.7% of total population. A cross-sectional study of 300 cases of geriatric and non-geriatric population groups was conducted at well-established Trauma, Orthopaedic and Neurosurgical services centre in Central India. Mechanisms of injury sustained by the participants showed that Falls which include both Ground level falls (GLF) and Fall from height (>2 metres) contributed to 55.4% cases in the geriatric population. The next most common cause of trauma in the geriatric population was road traffic accidents amounting to 34.3% of the cases. Data on the injuries sustained by both the study cohorts in terms of the different body regions based on Abbreviated Injury Scale (AIS) and Injury severity score (ISS) showed the head region was most consistently and maximally injured in both the study populations. Comorbidity profiles of geriatric and non-geriatric trauma populations showed significantly high hypertension, cerebrovascular disease, diabetes, diminished hearing and vision among the geriatric group. The maximum number of geriatric patients underwent Orthopaedic and spine surgeries (44.9%), Intercostal drain placements (34.6%), while the non-geriatric population had a higher number of Craniotomies (40%) and Intercostal drain placement (33.5%) surgeries respectively. The geriatric population had a significantly higher crude mortality rate of 39.3% compared to the non-geriatric population ( 26.3% ). With reference to intervention procedures, the geriatric population had a lower percentage of operative intervention and a higher rate of conservative management as compared to the non-geriatric population.
A longitudinal study to evaluate the bleeding pattern of patients on low dose aspirin therapy following dental extraction

Background and Aims: Antiplatelet dugs are often interrupted preceding invasive dental extraction because of concern of bleeding complications. The fear of uncontrolled bleeding often prompts medical and dental practitioners to stop aspirin intake for 7 to 10 days before any surgical procedure, which puts the patient at risk from adverse thrombotic events. The aim of the study conducted was to evaluate the bleeding pattern after routine dental extraction among patients on low dose long term aspirin therapy. Methods: A total of 104 subjects in the age group of 30-65 years, who continued to have aspirin intake during extraction were included in the study. Dental extraction was performed without stopping aspirin therapy under local anesthesia. The post-operative blood loss was quantified by weighing the gauze pre and post operatively and adding total volume of fluid in the suction jar. Results: Of these 104 patients treated, 87% of patients had mild bleeding (<20 ml) and 13% of patients had moderate bleeding (20-30 ml). The total study population showed a mean blood loss of 16.15 ± 3.5 ml. Conclusion: Within in the limitations, our study concluded that the routine dental extraction in patients under low dose aspirin therapy did not cause clinically significant post extraction hemorrhage. Aspirin intake can be continued during routine dental extraction as post extraction bleeding encountered will be negligible.
FUZZY LOGIC BASED IMPROVED MEDIUM ACCESS CONTROLLER FOR CONGESTION CONTROL AND PREDICTION THE SYSTEMS IN WSNS

in resource-constrained networks, particularly those with limited bandwidth to manage high-volume data transmission, network congestion is a major issue, resulting in poor quality of service, including packet loss and delay throughput. Due to self-contained batteries that limit sensor node lifetime, this issue is important in wireless sensor networks (WSNs) with limitations and restrictions, such as limited processing power, memory, and transmission. By determining a path that avoids congested highways, the network can be extended. As a result, we present a WSN route determination architecture that is congestion-aware. The architecture is divided into three stages: In a top-down hierarchical structure, the first path is created. Energy-aware assisted routing for route derivation. Exponential smoothing is used to forecast congestion, but the final parameters for route determination are not taken into account. We use fuzzy logic systems to evaluate proper weights for a variety of factors, including shop count, remaining energy, buffer occupancy, and forwarding rate, as well as a bat algorithm to optimize the weight over the membership functions. Eventually proposed model shows the high throughput, low packet loss, save energy, and extending network lifetime.
Errata and Addenda for ICRU Report 73, Stopping of ions heavier than helium

• Page 24, footnote 8; the last line should read: ‘cf. footnote 23 on page 44. ’ • Page 25, footnote 9 should read: ‘Cf. footnote 4 on page 15. ’ • Page 46, footnote 26 should read: ‘For symbol γ, see footnote 4 on page 15. ’ • Page 91, footnote 34 should read: ‘Concerning γ the reader is reminded of footnote 4 on page 15. ’ • Page 96, first paragraph of Section 5.3. 2: Replace the second and third sentence by ‘γ is assumed to be independent of Z2 and the state of aggregation and found by interpolation between experimental data for Z2 = 6, 13, 28, 47 and 79, while the underlying proton stopping forces are interpolated separately for solid and gaseous materials. ’
Social Media Versus Personal Experience in the Consumer’s Apprehension on Imported Food Security and Safety Dilemma

South Korea imports a large amount of agricultural and aquatic food products from China, which meets its food security. However, the import from China raises food safety questions, leading to food safety apprehension. We explored the source of the Korean consumer’s apprehension. Based on the apprehension reduction theory (ART) developed from interviews with Korean consumers in the first stage of the study, we conducted a survey to assess the social media as an indirect source of information and direct experience of the consumer in the second stage of the study. We received 504 responses, of which 1/3 of the respondents had visited China in the last year. Using FSS (Food Safety Satisfaction) as the dependent variable (1—low to 5—high), we link information from the social media vis-à-vis direct experience and made three discoveries. (a) The information quantity of social media increases the consumer’s apprehension, partially refuting the ART. (ii) FSS increased in response to information flow from the direct experience of the consumer with Chinese imported food. (c) The direct information from experience mediates the effects of indirect information (social media) on apprehension about agricultural and aquatic product imports. We made three inferences. First, information quantity and quality have separated roles in the ART. Second, social media increases the free-market style information flow, turning legitimate products to illegitimate and vice versa. Third, the collective irrationality from the information quantity needs institutional bricolage to legitimize the chaotic nature of the untamed information.
Easing the Squeeze on Superconductors

O ne of 2020’s hottest physics results was the demonstration that a hydrogen-rich material can conduct without electrical resistance at 15 ◦C, the average temperature of a spring day in Paris. But this achievement required another condition that isn’t fulfilled on the banks of the Seine: a pressure of 267 GPa, which is close to that of Earth’s core. Researchers, including Lilia Boeri of Sapienza University of Rome, are optimistic about the prospects of easing this requirement. Boeri presented two possible pathways to achieving superconductivity at
TEN-YEAR FOLLOW-UP OF PRELIMINARY BICEPS BRACHIAL MUSCLE CONTRACTION IN THE REHABILITATION AND PROPHYLAXIS OF RECURRENT SHOULDER PAIN DUE TO TENDON DEGENERATION

Introduction:- One of the overlooked facilitating factors of recurrent shoulder pain due to tendon degeneration is the periarticular muscle latency (M1, M2, and M3). It leads to a lack of muscle protection against the external loads on the shoulder during the initiation of every shoulder movement. This creates multiple repetitive micro-traumas, gradually accumulating to tendon degeneration. The only way to overtake the periarticular muscle latency and its consequences is the preliminary biceps brachial muscle contraction. Aim:- To study the effect of the preliminary biceps brachial muscle contraction on the short-term rehabilitation and the long-term prophylaxis of recurrent shoulder pain due to tendon degeneration. Material and Methods:- For 10 years were followed 44 outpatients (age 50.1 Â± 14.8 years) with recurrent shoulder pain due to tendon degeneration. They were randomized into two groups â€“ standard (n=22) and maneuver (n=22). Both groups received prophylactic recommendations and were treated for two weeks with exercise, interferential current, and laser. The maneuver group received an additional recommendation to perform preliminary biceps brachial muscle contraction before every movement of the shoulder during the daily activities. Pain intensity, shoulder mobility, periarticular muscle strength, number of recurrences, number of rehabilitation courses, and success rate of the maneuver were followed-up for two weeks and ten consecutive years. For the statistical analysis, ANOVA with Bonferronis tests and Pearsons correlation with regression tests were used. Results:- The pain decreased significantly after the first day in the maneuver group (P<0.05), and after the fifth day in the standard group (P<0.05). All results improved significantly after two weeks (P<0.05) and after one year (P<0.05) in both groups. The maneuver group showed superior results versus the standard group after two weeks (P<0.05) and after 10 consecutive years (P<0.05). With increasing the maneuver success rate, the short-term treatment effect and the long-term prophylactic effect increased in the maneuver group (P<0.05). There were no dropouts, side effects, or complications. Conclusion:- The preliminary biceps muscle contraction is appropriate an important additional recommendation in short-term treatment and long-term prophylaxis of recurrent shoulder pain due to tendon degeneration. It is simple, quick, effective, and without side effects or complications. It requires no allocation of space, time, or resources. This maneuver protects the shoulder before the initial external forces, avoiding the repetitive micro-traumas during the muscle latency, which is otherwise inevitable in daily activities. Another protecting factor is the increased muscle strength and co-contraction of all periarticular muscles, as a result of this bracing maneuver, leading to lesser pain with higher shoulder stability and mobility.
NAUI : Neural Attentive User Interest Model for Cross-Domain CTR Prediction

In the existing works for recommender systems, the design of Cross-Domain CTR prediction is less mentioned. In order to solve the data sparsity problem in CTR prediction, Cross-Domain Recommendation (CDR) leverages a wealth of information from a source domain to improve the CTR prediction performance on a target domain with sparse information, which is better than Single-Domain CTR prediction. Ads are usually displayed with natural content, which gives Cross-Domain CTR prediction the opportunity for problemsolving. In this paper, we propose a CDR novel named NAUI which can leverage auxiliary data information to improve the CTR prediction performance. NAUI utilizes an extracting user interest method which reduces excessive punishment for active users, and jointly training Cross Net and MLP components together on CDR. NAUI can capture more information about nonlinear features and combined features efficiently capture implicit and explicit high-order features interactions, and greatly improve the expression ability of the model on Cross-Domain CTR recommendation. Furthermore, we add an auxiliary classifier to the deep neural network to improve recommendation performance. Our experiment results has demonstrated that NAUI outperforms several frequently state-of-the-art methods of CTR prediction.
C OMBINING L ABEL P ROPAGATION AND S IMPLE M OD - ELS OUT - PERFORMS G RAPH N EURAL N ETWORKS

Graph Neural Networks (GNNs) are the predominant technique for learning over graphs. However, there is relatively little understanding of why GNNs are successful in practice and whether they are necessary for good performance. Here, we show that for many standard transductive node classiﬁcation benchmarks, we can exceed or match the performance of state-of-the-art GNNs by combining shallow models that ignore the graph structure with two simple post-processing steps that exploit correlation in the label structure: (i) an “error correlation” that spreads residual errors in training data to correct errors in test data and (ii) a “prediction correlation” that smooths the predictions on the test data. We call this overall procedure Correct and Smooth (C&S), and the post-processing steps are implemented via simple modiﬁcations to standard label propagation techniques from early graph-based semi-supervised learning methods. Our approach exceeds or nearly matches the performance of state-of-the-art GNNs on a wide variety of benchmarks, with just a small fraction of the parameters and orders of magnitude faster runtime. For instance, we exceed the best known GNN performance on the OGB-Products dataset with 137 times fewer parameters and greater than 100 times less training time. The performance of our methods highlights how directly incorporating label information into the learning algorithm (as was done in traditional techniques) yields easy and substantial performance gains. We can also incorporate our techniques into big GNN models, providing modest gains.
New Strained Silicon-On-Insulator Lateral MOSFET With Ultralow ON-Resistance by Si1-xGex P-Top Layer and Trench Gate

A novel ultralow on-resistance strained silicon-on-insulator (SOI) lateral double-diffused MOSFET with silicon-germanium (Si<sub>1-x</sub>Ge<sub>x</sub>) P-top layer and trench gate (P<sub>SiGe</sub>-TG LDMOS) is proposed in this letter. The Si<sub>1-x</sub>Ge<sub>x</sub> P-top layer (P<sub>SiGe</sub>) as a stressor introduces the beneficial stress in the drift and channel regions to enhance the electron mobility. Besides, in the off state, both P-top layer and trench gate (TG) jointly assist in depleting the N-drift region, which leads to an allowable highly-doped N-drift region. As a consequence, P<sub>SiGe</sub>-TG LDMOS realizes an ultralow specific on-resistance (<inline-formula> <tex-math notation="LaTeX">${R}_{\text {on,sp}}$ </tex-math></inline-formula>) resulting from the highly-doped N-drift region. Furthermore, the enhanced electric field in the trench oxide leads to an increase in breakdown voltage (<italic>BV</italic>). The simulation results show that, compared with the trench-gate SOI LDMOS (TG LDMOS) and the trench-gate SOI LDMOS with Si-based P-top layer (P<sub>Si</sub>-TG LDMOS), the introduction of P<sub>SiGe</sub> layer leads to 42% and 26% reduction in <inline-formula> <tex-math notation="LaTeX">${R}_{\text {on,sp}}$ </tex-math></inline-formula>, respectively. The figure-of-merit (<italic>FOM</italic>) of P<sub>SiGe</sub>-TG LDMOS increases from 8.1 MW/cm<sup>2</sup> of TG LDMOS and 9.4 MW/cm<sup>2</sup> of P<sub>Si</sub>-TG LDMOS to 12 MW/cm<sup>2</sup>, which realizes a superior performance.