Miracle-dz/UniFAR-FTUs huggingface dataset:
THE INFLUENCE OF CONTEMPORARY SOCIETY ON THE ATTITUDE OF NURSES TOWARDS COMPLEMENTARY METHODS OF TREATMENT

The purpose of the present article was to find out the attitude of nurses towards complementary and natural healing methods in the Ljubljana region. 274 nurses, participants of the symposium on complementary and natural methods in nursing care, took part in the research study. Comparative sample consisted of 105 nurses from the Hospital Centre in Ljubljana. The results of the research revealed that nurses are well acquainted with the significance of complementary and natural healing methods (the control group a little less so), while there is still much confidence in conventional methods in both groups. 92 % of the symposium participants would like to get better acquainted with complementary methods, and half of them would like to use them in their professional work. As. mag. Andreja Kvas, prof. zdr. vzg. , Univerza v Ljubljani, Visoka šola za zdravstvo, Katedra za zdravstveno vzgojo, Poljanska 26a, 1000 Ljubljana Doc. dr. Janko Seljak, Univerza v Ljubljani, Fakulteta za Upravo, Gosarjeva 5, 1000 Ljubljana DESKRIPTORJI: komplementarno zdravljenje; medicinske se-
Techno-Economic and Feasibility Assessment of Cryogenic Distillation Membrane (CDM) for Purification Natural Gas from CO2

It is estimated that the energy demand in the world at 2050 will increase by 52% relative to 2017. In Indonesia, it was predicted the deficit energy at natural gas sector occurred as much as 17.5 BSCF in 2020 and the deficit will increase to 3,327 BSCF in 2050. Nevertheless, the natural gas that Indonesia produced has impurities of 70% CO2 and 0.6% H2S, while the hydrocarbon only 28.1%, that makes the heating value of natural gas become lower compared to common natural gas. Therefore, the process of separating the impurities of CO2 and H2S from hydrocarbon is needed to increase the heating value and to get pure natural gas. One of alternatives that can solve the problem is Cryogenic Distillation Membrane (CDM). The CDM process integrates the process of cryogenic distillation and cryogenic membrane to separate impurities from hydrocarbon. It has been proven that cryogenic distillation can decrease CO2 concentration from 70% to 3%, and rise up hydrocarbon purity from 70% to 95%. Moreover, cryogenic membrane can increase the purity of natural gas from 95% to 98%. Therefore, CDM process is expected as appropriate process to get rid the impurities and give high purity of natural gas. Based on the calculation through simulation using software ASPEN HYSYS, the CDM process is beneficial because it gives capture rate CO2 up to 99%, decreases the purity CO2 from 70% to 0.001%, reduces the purity H2S from 0.6% to 0.02%, increases natural gas purity from 28.1% to 98%, raises the heating value from 284.5 Btu/SCF to 988.4 Btu/SCF and can generate valuable byproduct CO2 liquid.
VARYING AND UNCERTAIN LATERAL DISTURBANCE

Autonomous vehicles are the most advanced intelligent vehicles and will play an important role in reducing traffic accidents, saving energy and reducing emission. Motion control for trajectory tracking is one of the core issues in the field of autonomous vehicle research. According to the characteristics of strong nonlinearity, uncertainty and changing longitudinal velocity for autonomous vehicles at high speed steering condition, the robust trajectory tracking control is studied. Firstly, the vehicle system models are established and the novel target longitudinal velocity planning is carried out. This velocity planning method can not only ensure that the autonomous vehicle operates in a strong nonlinear coupling state in bend, but also easy to be constructed. Then, taking the lateral location deviation minimizing to zero as the lateral control objective, a robust active disturbance rejection control path tracking controller is designed along with an extended state observer which can deal with the varying velocity and uncertain lateral disturbance effectively. Additionally, the feedforward-feedback control method is adopted to control the total tire torque, which is distributed according to the steering characteristics of the vehicle for additional yaw moment to enhance vehicle handing stability. Finally, the robustness of the proposed controller is evaluated under velocity-varying condition and sudden lateral disturbance. The single-lane change maneuver and double-lane change maneuver under vary longitudinal velocity and different road adhesions are both simulated. The simulation results based on Matlab/Simulink show that the proposed controller can accurately observe the external disturbances and have good performance in trajectory tracking and handing stability. The maximum lateral error reduces by 0.18 meters compared with a vehicle that controlled by a feedback-feedforward path tracking controller in the single-lane change maneuver. The lateral deviation is still very small even in the double lane change case of abrupt curvature. It should be noted that our proposed control algorithm is simple and robust, thus provide great potential for engineering application.
Towards an electronic device to facilitate navigation in smartphones to people with motor and visual impairment

In this paper, we analyze the physical characteristics of a user with both visual and motor impairment, as well as the user’s context of smartphone use. In order to facilitate navigation using gestures that are easy to do by users with motor and visual impairment, we designed two hardware solutions as physical switches: a case mounted on the phone, and an electronic bracelet. We present the low fidelity prototype of both devices, the proposed user gestures, and their advantages and disadvantages.
S TUDY OF THE E LECTRICAL P ROPERTIES OF CNTFET S BASED ON COMPUTER SIMULATIONS

– The paper reviews two approximations for energy level calculation based on the tight-binding model. Basic static and dynamic characteristics of CNTFET with doped source/drain area are performed using the Stanford University CNTFET model. The dependence of the output characteristics from the device geometry is given. An estimation of the transit frequency shows that the device can operate in the multi-GHz range.
Automating Historical Source Transcription

e-ISSN: 2352-6343 DOI article: https://doi.org/10.51964/hlcs5968 The article can be downloaded from here. © 2021, Thorvaldsen This open-access work is licensed under a Creative Commons Attribution 4.0 International License, which permits use, reproduction & distribution in any medium for non-commercial purposes, provided the original author(s) and source are given credit. See http://creativecommons.org/licenses/.
PROGNOSTIC IMPACT OF PREOPERATIVE INFLAMMATORY BIOMARKERS IN ACUTE LIMB ISCHEMIA PATIENTS: A SYSTEMATIC REVIEW

Introdução: A utilização de biomarcadores que permitam diagnosticar, estratificar e monitorizar o tratamento de determinada patologia é comum em diversas áreas Médicas. Recentemente, tem sido dada muita atenção ao valor prognóstico que biomarcadores inflamatórios, como por exemplo a relação neutrófilos-linfócitos (NLR) e a relação plaquetas-linfócitos (PLR), poderão ter em diversas patologias vasculares. Estes marcadores inflamatórios são interessantes porque para além da sua aparente correlação com o prognóstico são simples de obter, o resultado é rapidamente disponibilizado e têm baixo custo. A sua inclusão na estratificação e abordagem da isquemia aguda de membro (IAM) é discutível, tendo em conta a escassez de literatura que a suporte. Esta revisão teve como objetivo identificar estudos que suportem a utilidade de marcadores inflamatórios pré-operatórios, para predizer o resultado do tratamento da IAM.
Implementation of Genomic Selection in the CIMMYT Global Wheat Program, Findings from the Past 10 Years

Wheat is a fundamental crop for improving global food security and the International Maize and Wheat Improvement Center (CIMMYT) has been a central pillar for providing high yielding, nutritious, disease- and climate-resilient wheat varieties to target countries, which is the basis for establishing more resilient agri-food systems especially in the developing world. Increasing wheat yield potential through plant breeding will play a crucial role in fulfilling the projected future global demand of wheat. New emerging technologies and breeding strategies must be looked at to accelerate the rate of genetic gains in wheat. Genomic selection (GS) in one of these strategies that has already demonstrated higher rates of genetic gains in animal breeding and is becoming an essential component of many plant breeding programs including wheat. Throughout the last decades the CIMMYT Global Wheat Program has made significant contributions to promote the implementation of GS in wheat. Several new genome-wide prediction models (e.g., models accounting for genotype × environment interaction or, more recently, deep learning methods) were developed and tested on CIMMYT wheat datasets. GS is routinely implemented in the CIMMYT spring bread wheat program since 2013. Here we summarize the learnings from 10 years of experience with GS in the CIMMYT Global Wheat Program and give a brief outlook on future work.
Verification of remaining filling materials in flattened/oval-shaped root canals after use of several endodontic retreatment protocols

This study verified of remaining filling materials in flattened/oval-shaped root canals after use of several endodontic retreatment protocols. Material and methods: Seventy human mandibular incisors were selected. Sixty specimens received crown-apex preparation performed by ProTaper Next® system andwere filled with hybrid Tagger technique with gutta-percha and AH Plus®. Ten specimens were left unprepared (Control Group). The specimens were randomly distributed in six groups, according the different retreatment protocols: G1 – Clearsonic® + ProTaper Universal Retreatment® + Reciproc®; G2 – Reciproc®; G3 – Clearsonic® + ProTaper Universal Retreatment®; G4 – Clearsonic® + Reciproc®; G5 – Oscillatory EndoEze® + Manual files; G6 – ProTaper Universal Retreatment®. Presence of root canal filling material residual were evaluated using Scanning Electron Microscopy. The relative differences of remaining filling materials between the groups and root thirds were determined by Kolmogorov-Smirnov and Levene tests followed by Tukey post hoc test. The level of significance was set at α = 5%. Results: Regarding the presence residual, G1 (Clearsonic® + ProTaper Universal Retreatment® + Reciproc®), G2 (Reciproc®), G3(Clearsonic® + ProTaper Universal Retreatment®) and G6 (ProTaper Universal Retreatment®) protocols presented a lower amount (p<0.05). The highest values (p<0.05) of remaining filling materials were presented in the G5 (Oscillatory EndoEze® + Manual files) protocol. Intermediate values (p<0.05) were presented by G4 (Clearsonic® + Reciproc®) protocol. Conclusion: The endodontic retreatment protocols no showed effectiveness for complete removal of remaining sealing material from flattened/oval-shaped root canals.
Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey

Open Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges.
CuO nanostructures of variable shapes as an efficient catalyst for [3 + 2] cycloaddition of azides with terminal alkyne

CuO nanostructures of variable shapes: CuO nanospheres (5–10 nm), CuO nanorods (W × L = 24–27 nm × 124–140 nm) and CuO nanowires (W × L = 8–10 nm × 230–270 nm) have been synthesised to study the effect of shape of the catalyst on the Cu(I)-catalysed “click” azide–alkyne cycloaddition. Cu(I) species were generated in situ by the reduction of CuO nanostructures in the presence of sodium ascorbate. CuO nanowires exhibited highest catalytic efficiency for the cycloaddition reaction between azide and terminal alkyne, featuring short reaction time, soft reaction conditions and complete regioselectivity. We have further extended the study by using azides with varying functional groups (–OCH3 and –NO2) and studied the effect of shape of the nanostructures on the rate of the reaction and yield of the triazole products. The activity trend observed was: CuO-NW > CuO-NR > CuO-NS, irrespective of the presence of electron withdrawing or donating groups on the azide.
Lazy Action Value Models for Q-Learning in Robotics*

—Value-based algorithms for reinforcement learning such as Q-learning offer state-of-the-art performance in many settings with discrete action domains. However, plain value-based algorithms are limited in large or continuous action domains, which are needed for applications in robotics. Here, we propose to approximate the action-dependent part of the Q-function locally and to learn it on-the-ﬂy from a data buffer. This gives rise to a simple framework for learning universal Q-functions in continuous action domains from off-policy data. We demonstrate the feasibility of our approach using a goal-conditioned robot pushing task.
Raman, infrared and n.m.r. studies of the graphite hydrofluorides CxF1-δ(HF)δ(2 ≤ x ≤ 5)

Raman spectra of CxF1-δ(HF)δ(x/δ ≈ 12) show bands at 1600, 1355 and 839 cm-1, which are attributed to graphite-like vibrational modes of the carbon atom sheets. The infrared spectra show, in addition to graphite-like bands, absorptions at 1270 and 1100 cm-1, which are attributed to C-F stretching. Variable contact-time cross-polarized magic-angle spinning 13C nuclear magnetic resonance spectra (c.p.m.a.s.13C n.m.r.) have been obtained for x = 2.05 and 3.70. In both spectra, two peaks ( + 135/106 and + 88/106 chemical shift from TMS) are seen, which are attributed, respectively, to graphitic and C-F carbons. The ratio of graphitic to C-F carbon atoms has been found to be 1.6(2) : 1 in C2.05F0. 82(HF)0.18. The carbon atom sheets in CxF1-δ(HF)δ appear to be very similar to those in pristine graphite. The bonding of fluorine to carbon is highly ionic. Bonding models are discussed.
Regulation of Pancreatic Fluid and Electrolyte Secretion

Pancreatic juice is the product of 2 distinct secretory processes. Enzymes are secreted by exocytosis from acinar cells. Fluid and electrolyte secretion is achieved primarily by the vectorial transport of ions across the ductal epithelium accompanied by water in isotonic proportions (Figure 1A). Each day, the human pancreas delivers 6–20 g of digestive enzymes to the duodenum in approximately 2.5 liters of HCO3rich fluid. The HCO3-rich fluid acts as a vehicle for transporting enzymes to the duodenum where the HCO3 neutralizes gastric acid. Moreover, pancreatic HCO3 secretion is thought to aid disaggregation of secreted enzymes following their exocytosis in the lumen of pancreatic duct.
Ultra high speed full adder for biomedical applications

In the field of bio medical engineering high performance CPU for digital signal processing plays a significant role. Frequency efficient circuit is a paramount requirement for the portable digital devices employing various digital processors. In this work a novel high speed one-bit 10T full adder with complemented output was described. The circuit was constructed with XOR gates which were built using two CMOS transistors. The XOR gate was constructed using 2T multiplexer circuit style. It was observed that power consumption of the designed circuit at 180nm with supply voltage 1.8V is 183.6 uW and delay was 1.809 ps whereas power consumption at 90nm with supply voltage 1.2V is 25.74 uW and delay was 8.245 ps. The observed Power Delay Product (PDP) in 180nm (at supply voltage 1.8V) is 0.33 and in 90nm (at supply voltage 1.2V) is 0.212. The work was extended by implementing a 32-bit Ripple Carry Adder (RCA) and was found that the delay at 180nm is 93.7ps and at 90nm is 198ps. The results were drawn at 180nm and also 90nm technology using CAD tool. The results say that the present work offered significant enhancement in speed and PDP compared with existing designs.
Pondicherry Journal of Nursing Vol 7, Issue2, May-August’14

The evolution of the Clinical Nurse Educators‟ (CNE) role in clinical practice has augmented the way research is conducted within clinical environments. Clinical Nurse Educators‟ are well placed to advance the way educational research in clinical practice is conducted. As researchers in their own clinical settings, they are challenged to examine the issues associated with studying a group to which they belong. They become endogenous or insiderresearchers. Nurses in clinical practice, according to Tolson et al (2006), are best situated to drive forward an insider based research agenda and engage in the research process. And as an educator, Roberts (2007) argued that we are linked to our learners.
Decision Support System for Thesis Session Pass Recommendation Using AHP (Analytic Hierarchy Process) Method

AbstractThe background this time is how the scoring system is still objective in the thesis trial system, therefore withthis decision support system, the objective assessment will become a definite scoring system, and will beable to help examiners provide the best advice to take. decisions to be taken during the student thesis trial.The method used in this research is to use quantitative methods, by conducting a librarian study and thencombined with data taken from student participants in the thesis examination, with the library studymethod, it will be possible to explore this research and data processing will also be maximized. Manysystems use the AHP algorithm method to make decisions that are difficult to make, using the AHP methodcan be taken into consideration in making decisions, because data processing using the AHP method willprovide the best advice for making an important decision. This research will produce a system proposal andhow the data is obtained, then how the data is processed to produce a system proposal, which is best formaking decisions about students who are currently passing their thesis exams or not, with the proposedsystem will greatly help the examiner take decisions that were previously objective.Keywords: Decision Support System, Thesis Session, Pass, AHP.
Immunotherapy Targeting Amyloid-β Peptides in Alzheimer’s Disease

Neurodegenerative diseases, in particular Alzheimer’s disease, represent significant unmet medical needs due to a lack of effective therapeutic treatment options and cause a substantial burden for health care systems. Accumulation of β-amyloid peptides within the brain is believed to be an initial trigger of the disease process. In the last 20 years, immunotherapy has emerged as a promising target-directed strategy to develop efficient treatment options with disease-modifying potential. Unfortunately, either active vaccination against β-amyloid or its fragments, as well as passive immunization using monoclonal antibodies, have largely failed to show a clinical benefit in a variety of clinical trials. This chapter addresses progress and developments with regard to active and passive immunization against Aβ and summarizes the current state of clinical trials.
Sustainable development through corporate social responsibility policy in Bulgaria's bio- sector

The bioeconomy, as a complementary segment of the circular economy, encompasses all sectors and systems that rely on biological and environmental resources, their functions and principles. It can lead to the discovery of new opportunities to provide food, goods and energy without depleting the planet's limited biological resources. It can turn algae into fuel, recycle plastics, produce furniture or clothing from waste, and create organic fertilizers from industrial waste products. It has the potential to create over a million new "green jobs" by 2030. Bio-sector enterprises play a key role in accelerating the achievement of the UN's global goals. They contribute to reducing climate change and waste, creating new jobs and building sustainable development in a modern society. Corporate social responsibility is a concept that reflects the quality of the relationship between an organization and society. According to the European Commission's Green Paper, Corporate Social Responsibility (CSR) is "a concept that serves companies as a basis for voluntarily integrating social and environmental aspects into their business strategies and relationships with all stakeholders. " The purpose of this report is to examine how the principles of corporate social responsibility affect biosector enterprises in Bulgaria and the adequacy of the country's policy to engage them to adopt global goals for sustainable development. The results of the study show that CSR is not seen as a one-time act, but as a sustainable process, helping to balance the three pillars of sustainable development economic growth, social development and environmental protection.
Suboptimal Approach to Distributed Detection in Cognitive Radio Networks

|In this paper a dynamic spectrum access (DSA) concept is explored for mitigating the paucity of spectral band-width in cognitive radio (CR) for opportunistic, dynamic access of the spectrum without any interference. Dynamic spectrum access schemes are proposed for a distributed cognitive radio network consisting of one secondary user (SU) and many primary users (PUs). The SU has to make decisions for accessing PU channels within discrete time slots. The design of sensing and access strategies that govern channel choice in each slot for near-optimal throughput performance of the SU may be formulated as a partially observable Markov decision process (POMDP). Furthermore, it is considered that the SU incurs a cost whenever it switches to a di(cid:11)erent channel. The switching cost is expressed in terms of delay, packet loss and packet overhead. In this work, the SU access policy based on a myopic approach is proposed and evaluated.
Antioxidant and Antiaging Assays of Ageratum conyzoides (L.) Ethanolic Extract

The declining ability of tissues to repair or replace themselves and maintain their structure and normal function is called aging. Aging is caused by free radical that can induce the activation of elastase and collagenase. Ageratum conyzoides (L.) or known as Babadotan is a medicinal plant that has been reported to be a good source of antioxidants that also inhibit aging process. The purpose of this research is to evaluate the antioxidant and antiaging properties of Babadotan Ethanolic Extract (BEE). Franswoth method was used to determine the phytochemical assay of BEE. Measurement of 2,2-diphenyl 1-picrylhydrazyl (DPPH) scavenger was used for antioxidant assay, and inhibitory of elastase and collagenase activities was used for antiaging assay. The analysis of phytochemical compounds exhibited the presence of flavonoids, alkaloids, tannins, polyphenols, steroids and triterpenoids, monoterpenoids and terpenoids, and the absence of saponin. BEE has lower activity on DPPH scavenging activity (IC50 = 80.7 μg/mL) than quercetin (IC50 = 3.25 μg/mL). BEE exhibited lower elastase and collagenase inhibitory activity (IC50 = 45.35 ± 2.2 μg/mL and 55.07 ± 1.1 μg/mL, respectively) compared to quercetin (IC50 = 11.64 ± 0.67 μg/mL and 19.91 ± 0.46 μg/mL). Overall, BEE possesses antioxidant and antiaging activities, although the activities are lower than quercetin.