Miracle-dz/UniFAR-FTUs huggingface dataset:
A Preliminary Feasibility Study on Hemodynamic Changes Following Feyh-Kastenbauer Retractor Insertion During Transoral Robotic Surgeries

Introduction Transoral robotic surgery (TORS) has become increasingly popular for the removal of pharyngeal and laryngeal cancers with the objective to improve functional and aesthetic outcomes. Feyh-Kastenbauer (FK) retractor is one such routinely used retractor during TORS. The setting up of this retractor has been seen to be accompanied by hemodynamic fluctuations. Methodology This prospective observational study was carried out on 30 patients undergoing TORS. All patients were administered general anesthesia using a pre-defined anesthesia protocol. The primary outcome was to compare hemodynamic fluctuations following endotracheal intubation with that after FK retractor insertion. Any requirement of a bolus dose of sevoflurane and fentanyl was recorded in response to hemodynamic fluctuations recorded in secondary outcomes. Results There was no statistically significant increase in mean heart rate, systolic, diastolic, and mean arterial blood pressure from baseline to endotracheal intubation and following retractor insertion (p=0.810, p=0.2, p=0.6, p=0.3 respectively). On subgroup analysis, hypertensive patients reported a greater rise in blood pressure following two minutes post FK retractor insertion compared to non-hypertensive patients (p=0.03). Out of 30 patients, five patients required a bolus dose of sevoflurane. Conclusion FK retractor insertion had a comparable hemodynamic response as endotracheal intubation during TORS. Hypertensive patients showed a rise in blood pressure at both endotracheal intubations and at FK retractor insertion.
Double-meander spring silicon piezoresistive sensors as microforce calibration standards

Abstract. A transferable force calibration standard based on a silicon microelectromechanical sensor has been designed, fabricated, and characterized for micrometrology applications. Two essential elements of double-meander springs and full piezoresistive etched p-silicon-on-insulator Wheatstone bridges (WBs) are integrated to the sensor for enhancing the device’s sensitivity and eliminating the current leakage during an active sensing operation, respectively. The design process is supported by three-dimensional finite element modeling to select the optimal proposed sensors as well as simulating their mechanical and electrical properties in the desired force range (≤1000 μN). To fabricate the microforce sensors, a bulk micromachining technology is used by frequently involving an inductively coupled plasma deep reactive ion etching at cryogenic temperature. Several optical and electrical characterization techniques have been utilized to ensure the quality of the fabricated WBs, where their measured offset voltage can be down to 0.03±0.071 mV/V. In terms of its linearity, the fabricated device exhibits a small nonlinearity of <3%, which leads this sensor to be appropriate for precise microforce standard.
IMPACT OF SCHIZOPHRENIA AND BIPOLAR AFFECTIVE DISORDER ON MARITAL SATISFACTION – A COMPARATIVE STUDY

Objectives: To compare marital satisfaction among patients with Schizophrenia and bipolar affective disorder. Methods: A cross-sectional study was conducted for 1 month. The sample was chosen by using purposive random sampling, 60 married patients with Schizophrenia and Bipolar Affective Disorder who fulfilled the ICD 10 criteria for Schizophrenia and Bipolar Affective Disorder, respectively, under remission with Clinical Global Impression-Severity Scale (CGI-S) score ≤2, and were assessed for Marital Satisfaction with The Couples Satisfaction Index (CSI) and its relationship with forgiveness is studied with the Marital Offence-Specific Forgiveness Scale (MOFS). Results: Compared to patients with Bipolar Affective Disorder, patients with Schizophrenia reported poor marital satisfaction. Conclusion: It is the first study in India to compare marital satisfaction in patients with Schizophrenia and Bipolar Affective Disorder. The present study suggests that marital satisfaction is more impaired in Schizophrenia patients compared to bipolar affective disorder patients.
Renewable Energy Directive II Impact on Combating Deforestation in Indonesia

EU's Renewable Energy Directive II or RED II was aimed to achieve the renewable energy use target in EU and reduce the environmental issues especially greenhouse gas emissions from every industry within the EU’s member states. However, the impact of this EU’s environmental policy has grew outside the region, including to Indonesia. This article is intended to discuss the growing impact of RED II to Indonesia, especially deforestation as one of the EU’s concerns in RED II, and at the same time it also shows how the EU exert influence and bring changes to other states. With Cresswell’s (2019) qualitative research methods, we find that since its enactment, EU's RED II in 2018 had a growing impact to Indonesia including raises awareness regarding environmental issues, leading to changes in the environmental policies related to palm oil industry, as to cope with EU’s RED II policies and the previous directive’s impact, and indirectly combat and pushing down the deforestation cases in palm oil concession to the lowest rate. The result of this study preserving that the collaboration between Indonesia and EU achieving a beneficial relation.
Attribute reduction for set-valued data based on prediction label

ABSTRACT Attribute reduction for set-valued data commonly took into account the distance or similarity between attribute values. However, little attention has been paid to the problem that sample labels can affect attribute reduction. This paper studies the attribute reduction for set-valued data based on prediction label. Firstly, the prediction label of samples in a set-valued decision information system (SVDIS) is defined. And then, the tolerance relation in an SVDIS based on prediction labels is given, which can distinguish samples not only by the distance between the attribute values, but also by the prediction labels. As a result, some related concepts have been redefined. Moreover, attribute reduction algorithms in an SVDIS based on dependence and decision error rate are designed. Eventually, experimental analysis on real data sets indicates that the designed algorithms can effectively reduce the number of attributes, and improve the classification accuracy in most cases.
Distances on circles, toruses and spheres

Families of heavily dissociated random variables are defined and discussed. These include families of the form g(Yi , Yj ) for some suitable function g of two arguments and independent uniformly distributed random variables Y 1, Y 2, ··· on the circle, the torus or the sphere. The weak convergence of the empirical distribution process is discussed. The particular case of distances between pairs of observations on the circle is considered in greater detail.
Bottle micro-resonator temperature sensors for laser coolers

We show theoretically that a bottle resonator with a nanoscale altitude made on the surface of an optical fiber can be used as a temperature sensor for laser cooling of solids. The operation of such sensors is based on whispering gallery modes (WGMs). Bottle resonators can be made at different positions along the length of the fiber, which undergoes laser cooling. A smooth perturbation with a small nanoscale altitude on the surface of the fiber does not couple fiber modes propagating along the fiber axis and does not influence the laser cooling process. The temperature of the sample at each of these positions can be monitored as a shift in the dips seen in the transmission spectrum of a biconically tapered fiber placed perpendicular to the fiber axis on the top of the resonator to excite WGMs. Temperature sensitivities ~12pm/K and ~16pm/K are obtained for Yb3+:ZBLAN and Yb3+:YAG samples, respectively. The possibility of using bottle resonators for other applications is also discussed.
Viscosity dominated limit of global solutions to a hyperbolic equation in MEMS

We study the asymptotic relation of solutions between the hyperbolic equation and the parabolic one over a one-dimensional bounded interval, both of which model a simple electrostatic micro-electro-mechanical system (MEMS) device. The relation is characterized by a limit as a physical parameter representing the strength of inertial forces tends to zero. We call this limit the viscosity dominated limit. It is shown that in this singular limit the solution of the hyperbolic model converges to that of the parabolic one globally in time. Also the higher order terms including the initial layer corrections, as well as the related error estimates, are derived. Furthermore, it is proved that the convergence is valid for global solutions with large initial data.
A Quantitative Risk Assessment Model for Domino Accidents of Hazardous Chemicals Transportation

In recent years, hazardous materials transportation accidents have received increasing attention. Previous studies have focused on accidents involving a single vehicle. When vehicles loaded with materials gather on a stretch of road, a potential domino accident might cause terrible incidents. This paper prompts a quantitative risk assessment (QRA) model to estimate the risk of multi-vehicle incidents. The model calculates the possibility of leakage and explosion of hazardous chemicals using a dynamic Bayesian network (DBN). For different types of hazardous chemicals, the model uses event trees to list different scenarios and analyzes the probability of domino accidents caused by each scenario. The FN-curve and potential loss of life (PLL) are used as an index to evaluate social risk. A case involving multiple vehicles in the JinShan District, Shanghai, is analyzed. The result of the case shows that the state of the driver, the type of road, weather factors and the distance between vehicles have vital impacts on the societal risk resulting from hazardous materials transportation accidents.
Generic product quality evaluation method using AHP and entropy weight

To evaluate the product quality objectively and effectively,a generic product quality evaluation method is proposed.Based on this notion,the weights of criteria are comprehensively determined by AHP and entropy weight method.This enhances the evaluation processes and avoids the unreasonable results.By employing a case study on mini cars,a comprehensive performance is assessed regarding technical,economic and social aspects.From the evaluation results,this approach has proven its practicality in user product selection.
Extraction and Characterization of Sponge Gourd Outer Skin Fiber

ABSTRACT Plant-derived natural fibers have recently been used as a promising reinforcement in polymer matrix composites. Fibers from the inner sponge of the luffa cylindrica fruit have been the subject of several studies as reinforcement in various polymer resins. However, no research has been done on the Sponge Gourd Outer Skin Fiber (SGOSF). The present work is aimed to extract and characterize the chemical and physical properties of novel natural lignocellulosic fiber obtained from the outer skin (waste material) of the matured Luffa Cylindrica plant fruit. Characteristic studies on chemical composition, chemical structure, chemical compounds, thermal stability, and morphology of luffa cylindrica outer skin fibers (SGOSF) were investigated. The results revealed that SGOSF had cellulose (81.69 wt. %), lignin (10.14 wt. %), wax (0.22 wt.%), and ash content (1.18 wt. %). The density of the SGOSF was reported as 1.394 g/cm3. Thermal study results indicate SGOSF were withstanding the temperature up to 320°C. Fourier transform infrared analysis (FTIR) was done to determine the molecular structure of SGOSFs. The SGOSFs show tensile strength of 438.5 MPa. These results revealed that SGOSFs could be a sound reinforcement in the polymer matrix composites for various applications.
A New Technique for Finite Difference WENO with Geometric Conservation Law

A new technique for a finite-difference weighted essentially nonoscillatory scheme (WENO) to satisfy the geometric conservation law on an arbitrary grid system is introduced. This new technique first divides the finite difference WENO into two parts: 1) a consistent central difference part and 2) a numerical dissipation part. For the consistent central difference part, the conservative metric technique is straightforwardly adapted. For the numerical dissipation part, it is proposed that the metric term is frozen for constructing the upwinding flux. This treatment only affects the numerical dissipation part, and the order of accuracy is maintained. With this technique, the freestream is perfectly preserved, and also the flow fields are better resolved on wavy and random grids.
Universal wavelength reuse mechanism for optical networks-on-chip based on a cooperative game

Optical networks-on-chip (ONoCs) based on wavelength division multiplexing (WDM) technology have lower end-to-end (ETE) delay, larger bandwidth, and higher throughput than NoCs. However, the utilization and parallelism of individual wavelengths are essential since WDM technology would require more optical devices to be integrated with ONoCs, leading to higher on-chip overhead. In this paper, we propose an optimal model of communication node cooperation based on game theory, in which the loss of the optical signal on the transmission path for a specific optical receiver sensitivity establishes the payoff function of each participant. In this cooperative game model, the communication nodes are regarded as the participants of the cooperative game. By analyzing the principle of optical router port occupation, the coordinate-based coalition assignment algorithm is proposed to implement fast construction of coalitions and reach the Nash equilibrium of the cooperative game. In Nash equilibrium, the utilization and parallelism of individual wavelengths are higher, and the network’s performance is optimized and improved. Cooperative-game-based ONoCs have more significant throughput and lower ETE delay. The optical signal loss and minimum output power of the optical transmitter can be further reduced at a given optical receiver sensitivity. By applying the cooperative game to ONoCs, the network’s optimization effect becomes more evident as the network scale increases and the number of communication nodes grows.
Configuration mixing within the 2s-2p shell

Commutation approchee de l'hamiltonien coulombien d'atomes avec un operateur a N electrons, somme d'operateurs de Casimir O(4), ce qui permet une determination precise du melange de configuration pour la couche 2s-2p entiere. Discussion de certains aspects de la stabilite des resultats
Whose voices are being heard? A scoping review of research on school experiences among persons with autism and attention deficit/hyperactivity disorder

ABSTRACT The purpose of this scoping review is to critically examine empirical research that draws on first-person experiences of schooling among students with autism or attention-deficit/hyperactivity disorder (ADHD) as well as to map whose voices are heard in research and where the current knowledge gaps are. The review examined key characteristics of this body of research in relation to the publication context and research methodology. Studies were identified through a systematic scoping review of research published between January 2000 and December 2021 in four electronic databases and a subsequent ancestry search. Fifty-eight articles met the inclusion criteria. The results show an increased research interest in first-person accounts of schooling from 2016 onwards. The autism voice dominated over ADHD and was strongly skewed towards the academically able group. There was an overrepresentation of boys and secondary school children across the studies. Characteristics such as the child’s social class, ethnicity and socioeconomic background were largely neglected, with details associated with the diagnosis being foregrounded. Interviewing was the main method used, and student perspectives were often accompanied by other data sources. The article concludes with a discussion on the silencing of already marginalised sub-groups and the importance of approaching research as an ethical enterprise.
Metabolic Engineering of Model Microorganisms for the Production of Xanthophyll

Xanthophyll is an oxidated version of carotenoid. It presents significant value to the pharmaceutical, food, and cosmetic industries due to its specific antioxidant activity and variety of colors. Chemical processing and conventional extraction from natural organisms are still the main sources of xanthophyll. However, the current industrial production model can no longer meet the demand for human health care, reducing petrochemical energy consumption and green sustainable development. With the swift development of genetic metabolic engineering, xanthophyll synthesis by the metabolic engineering of model microorganisms shows great application potential. At present, compared to carotenes such as lycopene and β-carotene, xanthophyll has a relatively low production in engineering microorganisms due to its stronger inherent antioxidation, relatively high polarity, and longer metabolic pathway. This review comprehensively summarized the progress in xanthophyll synthesis by the metabolic engineering of model microorganisms, described strategies to improve xanthophyll production in detail, and proposed the current challenges and future efforts needed to build commercialized xanthophyll-producing microorganisms.
Glycomacropeptide Protects against Inflammation and Oxidative Stress, and Promotes Wound Healing in an Atopic Dermatitis Model of Human Keratinocytes

Keratinocytes are actively implicated in the physiopathology of atopic dermatitis (AD), a skin allergy condition widely distributed worldwide. Glycomacropeptide (GMP) is a milk-derived bioactive peptide generated during cheese making processes or gastric digestion. It has antiallergic and skin barrier restoring properties when it is orally administered in experimental AD. This study aimed to evaluate the effect of GMP on the inflammatory, oxidative, proliferative, and migratory responses of HaCaT keratinocytes in an in vitro AD model. GMP protected keratinocytes from death and apoptosis in a dose dependent manner. GMP at 6.3 and 25 mg/mL, respectively, reduced nitric oxide by 50% and 83.2% as well as lipid hydroperoxides by 27.5% and 45.18% in activated HaCaT cells. The gene expression of TSLP, IL33, TARC, MDC, and NGF was significantly downregulated comparably to control by GMP treatment in activated keratinocytes, while that of cGRP was enhanced. Finally, in an AD microenvironment, GMP at 25 mg/mL stimulated HaCaT cell proliferation, while concentrations of 0.01 and 0.1 mg/mL promoted the HaCaT cell migration. Therefore, we demonstrate that GMP has anti-inflammatory and antioxidative properties and stimulates wound closure on an AD model of keratinocytes, which could support its reported bioactivity in vivo.
Modeling and Design of Nonresonant-Node-Based Filtenna for Triband Wi-Fi Application

The triband wireless Wi-Fi router radiated by series-fed antennas suffers from serious mutual coupling, resulting in throughput degradation. To reduce the mutual coupling, the filtering antennas (filtennas) are designed with nonresonant node (NRN) radiators and series-fed antennas. The NRN filtering radiators are characterized by the NRN filtering circuits, which includes the capacitance and inductance NRNs. These NRNs realize a parallel resonance and radiation zero simultaneously. The radiation zero frequency is smaller or larger than the resonant frequency in the capacitance and inductance NRN, respectively. As the mechanism to manipulate the resonant frequency and radiation zero is figured out, the NRN filtering radiators are designed, and the above analysis is validated. Then, the series-fed antenna equivalent to a parallel resonance is fed by the NRN filtering radiator, and a second-order bandpass filtering network is formed. Its filtering response with the radiation zero realizes a high out-of-band rejection to reduce the mutual coupling. For demonstration, a cross-coupling NRN filtenna is designed to work at 2.4–2.5 GHz [low band (LB)], while the inductance and capacitance NRN filtennas operate at 5.17–5.33GHz [mid band (MB)] and 5.735–5.835 GHz [high band (HB)], respectively. Herein, the radiation zero of the MB antenna is designed at HB, while the HB radiation zero operates at MB. The measurement results exhibit that the mutual coupling is reduced, and the throughput of the triband wireless Wi-Fi router is improved.
A Comparison of Personalized and Generalized LSTM Neural Networks for Deriving VCG from 12-Lead ECG

Vectorcardiography (VCG) is a valuable diagnostic tool that complements the standard 12-lead ECG by offering additional spatiotemporal information to clinicians. However, due to the need for additional measurement hardware and too many electrodes in a clinical scenario if performed along with a standard 12-lead, there is a need to find methods to derive the VCG from the ECG. We have evaluated the use of Long Short-term Memory (LSTM) neural networks to learn the transformation from 12-lead ECG to VCG that is applicable across subjects and for each subject. We refer to these networks as generalized and personalized, respectively. We calculated the Root Mean Square Error (RMSE), R2, and Pearson correlation coefficient to compare waveforms of derived and actual VCG. We also extracted and compared diagnostic parameters from VCG, namely the QRS-loop magnitude, T-loop magnitude, and QRS-T spatial angle, from actual and derived VCGs using the Pearson correlation coefficient and Bland Altman limits of agreement. The personalized models performed better than generalized models in waveform comparisons and in the error of extracted diagnostic parameters from VCG waveforms. The use of personalized transformations for the derivation of VCG from standard 12-lead has the potential to improve and augment the diagnostic yield and accuracy of a standard 12-lead interpretation.
Utilizing Machine Learning to Reassess the Predictability of Bank Stocks

Objectives: Accurate prediction of stock market returns is a very challenging task due to the volatile and non-linear nature of the financial stock markets. In this work, we consider conventional time series analysis techniques with additional information from the Google Trend website to predict stock price returns. We further utilize a machine learning algorithm, namely Random Forest, to predict the next day closing price of four Greek systemic banks. Methods/Analysis: The financial data considered in this work comprise Open, Close prices of stocks and Trading Volume. In the context of our analysis, these data are further used to create new variables that serve as additional inputs to the proposed machine learning based model. Specifically, we consider variables for each of the banks in the dataset, such as 7 DAYS MA,14 DAYS MA, 21 DAYS MA, 7 DAYS STD DEV and Volume. One step ahead out of sample prediction following the rolling window approach has been applied. Performance evaluation of the proposed model has been done using standard strategic indicators: RMSE and MAPE. Findings: Our results depict that the proposed models effectively predict the stock market prices, providing insight about the applicability of the proposed methodology scheme to various stock market price predictions. Novelty /Improvement: The originality of this study is that Machine Learning Methods highlighted by the Random Forest Technique were used to forecast the closing price of each stock in the Banking Sector for the following trading session. Doi: 10.28991/ESJ-2023-07-03-04 Full Text: PDF