Miracle-dz/UniFAR-FTUs huggingface dataset:
NONLINEAR DYNAMICS OF RELATIVISTIC BACKWARD-WAVE TUBE IN SELF-MODULATION AND CHAOTIC REGIME

It has been performed quantitative modelling, analysis, forecasting dynamics relativistic backward-wave tube (RBWT) with accounting relativistic effects (γ0 = 1.5-6.0), dissipation (factor D), a presence of space charge etc. There are computed the temporal dependences of the normalized field amplitudes (power) in a wide range of variation of the controlling parameters which are characteristic for distributed relativistic electronwaved self-vibrational systems: electric length of an interaction space N, bifurcation parameter proportional to (~current I) Pirse one J and relativistic factor γ0 . The computed temporal dependence of the field amplitude (power) Fmax in a good agreement with theoretical estimates and experimental data by Ginzburg etal (IAP, Nizhny Novgorod) with using the pulsed accelerator "Saturn". The analysis techniques including multi-fractal approach, methods of correlation integral, false nearest neighbour, Lyapunov exponent’s, surrogate data, is applied analysis of numerical parameters of chaotic dynamics of RBWT. There are computed the dynamic and topological invariants of the RBWT dynamics in auto-modulation(AUM)/chaotic regimes, correlation dimensions values (3.1; 6.4), embedding, Kaplan-York dimensions, Lyapunov’s exponents (+,+) Kolmogorov entropy. There are constructed the bifurcation diagrams with definition of the dynamics self-modulation/ chaotic areas in planes, namely, "J-γ0 ", "D-J".
Statistical shape analysis of neuroanatomical structures based on spherical wavelet transformation

Evidence suggests that morphological changes of neuroanatomical structures may reflect abnormalities in neurodevelopment, or relate to a variety of disorders, such as schizophrenia and Alzheimer's disease (AD). Advances in high-resolution Magnetic Resonance Imaging (MRI) techniques allow us to study these alterations of brain structures in vivo. Previous work in studying the shape variations of brain structures has provided additional localized information compared with traditional volume-based study. However, challenges remain in finding an accurate shape presentation and conducting shape analysis with sound statistical principles. In this work, we develop methods for automatically extracting localized and multi-scale shape features and conducting statistical shape analysis of neuroanatomical structures obtained from MR images. We first develop a procedure to extract multi-scale shape features of brain structures using biorthogonal spherical wavelets. Using this wavelet-based shape representation, we build multi-scale shape models and study the localized cortical folding variations in a normal population using Principal Component Analysis (PCA). We then build a shape-based classification framework for detecting pathological changes of cortical surfaces using advanced classification methods, such as predictive Automatic Relevance Determination (pred-ARD), and demonstrate promising results in patient/control group comparison studies. Thirdly, we develop a nonlinear temporal model for studying the temporal order and regional difference of cortical folding development based on this shape representation. Furthermore, we develop a shape-guided segmentation method to improve the segmentation of sub-cortical structures, such as hippocampus, by using shape constraints obtained in the wavelet domain. Finally, we improve upon the proposed wavelet-based shape representation by adopting a newly developed over-complete spherical wavelet transformation and demonstrate its utility in improving the accuracy and stability of shape representations. By using these shape representations and statistical analysis methods, we have demonstrated promising results in localizing shape changes of neuroanatomical structures related to aging, neurological diseases, and neurodevelopment at multiple spatial scales. Identification of these shape changes could potentially lead to more accurate diagnoses and improved understanding of neurodevelopment and neurological diseases. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)
Nutritional Assessment In Hemodialysis Patients : Influence of Method and Sex

Introduction: Several nutritional assessment methods are available. The objective of this study was to assess the nutritional status of chronic hemodialysis patients based on anthropometry, bioimpedance and albuminemia. Patients and Method: A cross-sectional study was conducted in two hemodialysis units, having included patients regularly on dialysis, with no history of hospitalization during the last month and consenting. The nutritional evaluation was based on the collection of anthropometric markers, the determination of body composition by bioelectrical impedance analysis and the determination of albuminemia. Results: 68 hemodialysis patients (46.7 years old, 51.5% women) analyzed. The prevalence of undernutrition was 47.1% (95% CI [34.8 – 59.6]) according to BMI, 25% (95% CI [15.3 – 37.0]) according to brachial circumference, by 10.3% (95% CI [4.2 – 20.1]) according to the percentage of ideal weight, by 11.8% (95% CI [5.2 – 21.9]) according to the FM, by 55.9% (95% CI [43.3 – 67.9]) according to the LM index and by 10.3% (95% CI [4.2 – 20.1]) according to serum albumin . Similarly, the prevalence of obesity varied from 8.8% (95% CI [-1.8 – 22.4]) according to BMI and from 36.8% (95% CI [24.7 – 48 ,9]) according to the FM. According to bioimpedance, women on hemodialysis were more exposed to malnutrition than men. Impedance nutritional parameters were thus strongly correlated and agreement with anthropometric parameters in the diagnosis of undernutrition and obesity. Conclusion: Due to its availability and simplicity, bioelectrical impedance analysis (BIA) has considerable potential as a complement to conventional anthropometric techniques for assessing the nutritional status of hemodialysis patients.
DESIGN AND ANALYSIS OF A HIGH-EFFICIENCY RESONANT CONVERTER FOR EV BATTERY CHARGER

The interest in electric vehicle (EVs) components such as battery, battery chargers, and battery management systems is increasing in parallel with the spread of electric vehicles. One of the most critical of these components is battery chargers. Battery chargers are equipped with DC-DC converters with high efficiency, low cost, and wide output voltage range. In order to provide reliable operation of the battery charger, it is of great importance that the DC-DC converters are operated with a robust and stable controller as well as designed optimally. In this paper, a design method for a CLLC resonant converter-based bidirectional dc-dc converter (BiDC) is presented for a battery charger. The resonant converter, whose design details are presented, suggests a resonant system to be used in battery chargers with fewer components than the CLLLC converter, and similar voltage gain characteristics for bidirectional power flow operations compared to the LLC converter. The design procedure highlights performing the soft switching operation and determining the resonant tank parameters. In addition, the forward mode and reverse mode gain equations required for the system to operate in the desired output voltage range have been presented. The design procedures have been validated with a CLLC BiDC model with ratings of 1 kW, 400 V input / 300-450 V output in the PSIM environment. The performance results reveal that the zero voltage switching (ZVS) has been performed for primary-side MOSFETs under a wide load range.
Key Exchange Based on Genetic Algorithm

In this study, has shown how to design key exchange algorithm based on the features of crossover and mutation operations of genetic algorithm (GA) and asymmetric key encryption. The number of the crossover points together with number of mutation points dictate the length of the secret key and hence the strength of the algorithm. The algorithm is further strengthened by making it difficult to break by permuting the key by a random permutation factor; the randomness together with permutation makes the algorithm robust and hard to break. The proposed algorithm solves the problem of storing and distribution of the secret key over the network; the various examples and implementation of the algorithm proves that it exchanges the keys over the channel successfully
Student’s perspective on NLE examination

This study aims to investigate the students' perspective on the National Licensure Examination (NLE). The NLE serves as a crucial evaluation tool for students, assessing their knowledge, skills, and competency in their respective fields. However, little research has focused on understanding the students' perceptions and experiences regarding this examination. The study employs a quantitative research design with a sample size of 300 students. The participants are selected from various educational institutions from Lahore who have recently taken the NLE examination. A questionnaire consisting of Likert-scale and open-ended questions is used to collect data on students' perceptions, attitudes, and experiences related to the NLE examination. Preliminary findings from the study indicate that a majority of students perceive the NLE examination as a highly challenging and stressful experience. Many students reported feeling anxious and pressured due to the significance of the examination for their academic and professional careers. However, despite the stress, a significant number of students also acknowledged the importance of the NLE examination in ensuring the quality and standardization of professionals in their field. Furthermore, the study explores the students' perceptions regarding the content and format of the NLE examination.
Risk of Parkinsons Disease in Stroke Survivors: A Nationwide Cohort Study in South Korea

Background: Previous studies have examined the risk of stroke in patients with Parkinsons disease (PD), but the incidence of PD onset among stroke survivors and its risk according to severity of post-stroke disabilities is scarcely investigated. This study aims to determine whether the risk of PD is increased among stroke survivors using a retrospective cohort with a large population-based database.Method: We used data collected by the Korean National Health Insurance Service from 20102018 and examined 307,361 stroke survivors and 380,917 sex- and age-matched control subjects to uncover the incidence of PD. Cox proportional hazards regression was used to calculate the hazard ratio (HR) and 95% confidence interval (CI), and the risk of PD was compared according to presence and severity of disability. Results: During 4.31 years of follow-up, stroke survivors had a 1.67 times higher risk of PD compared to matched control subjects (adjusted HR, 1.67; 95% CI, 1.571.78). The risk of PD was greater among stroke survivors with disabilities than among those without disabilities, even after adjustment for multiple covariates (adjusted HR, 1.72; 95% CI, 1.551.91 and adjusted HR, 1.66; 95% CI, 1.561.77, respectively). Conclusion: Our study demonstrated increased risk of PD onset among stroke survivors. Health professionals need to pay careful attention to detecting movement disorders as clues for diagnosing PD.
Prophylactic antibiotics to prevent ventilator associated pneumonia in adults with acute brain injury who are invasively ventilated in the ICU: A protocol for a systematic review and meta-analysis.

Abstract Background Acute brain injury due to conditions such as trauma, subarachnoid haemorrhage, stroke or hypoxic-ischaemic encephalopathy, is a major public health issue. Lower respiratory tract infections and ventilator associated pneumonia (VAP), are common in patients who require invasive mechanical ventilation after suffering an acute brain injury, and may have potentially deleterious consequences such as fever, hypoxaemia, and hypotension, excessive pulmonary secretions and sputum plugging. These physiological disturbances may contribute to secondary brain injury and potentially to adverse clinical outcomes. Parenteral antibiotics given soon after the commencement of invasive mechanical ventilation may prevent the development of VAP and potentially reduce the associated adverse consequences, although there is conflicting evidence from randomised clinical trials (RCTs). Therefore, we plan to conduct a systematic review and meta-analysis to test the hypothesis that, in adults with acute brain injury who are invasively ventilated in the Intensive Care Unit (ICU), administration of prophylactic parenteral antibiotics, compared with a matched placebo or usual care, reduces the occurrence of mortality as well as ventilator associated pneumonia and other secondary outcomes. Methods and analysis We will undertake a systematic review and meta-analysis. We will include RCTs that compare the administration of prophylactic antibiotics to placebo or usual care on hospital mortality and other patient- centred outcomes in patients with acute brain injury receiving mechanical ventilation in the ICU. We will perform a search that includes the electronic databases MEDLINE and EMBASE and clinical trial registries. Two reviewers will independently screen titles and abstracts, perform full article reviews and extract study data, with discrepancies resolved by a third reviewer. We will report study characteristics and quantify risk of bias. We will perform random effects meta-analyses to provide pooled estimates that the administration of prophylactic antibiotics is associated with reduced hospital mortality and a reduced incidence of ventilator associated pneumonia, as well as other outcomes. We will evaluate overall certainty of evidence using the Grading of Recommendations Assessment, Development, and Evaluation framework. Conclusion This systematic review and prospective meta-analysis will provide clinicians with an overview of current evidence regarding the association between the administration of prophylactic antibiotics in patients with acute brain injury receiving invasive mechanical ventilation and mortality, the incidence of ventilator associated pneumonia and other clinical outcomes.
Improvement of soybean yields using amendments on dryland soils of Aceh Besar, Indonesia

This study aimed to evaluate the response of soybeans to the application of various amendments to the sub-optimal dryland of Aceh Besar. A pot experiment was conducted in a greenhouse in Darussalam, Banda Aceh at an altitude of 3 m above sea level. The soil amendments used are biochar, compost, CaCO3 lime, and SP-36 phosphate fertilizer (SP-36). The experiment used a bifactorial 8 x 3 Randomized Block Design (RBD) in 2 replications. The first factor was the application of amendments consisting of eight levels, namely: control (without ameliorant or 0 t ha−1), applications of biochar 20 t ha−1, compost 20 t ha−1, CaCO3 4 t ha−1, SP-36, 4 t ha−1, biochar 10 t ha−1 + CaCO3 4 t ha−1, compost 10 t ha−1 + CaCO3 4 t ha−1, and biochar 10 t ha−1 + compost 10 t ha−1. The second factor is the three soil orders originating from the dryland farming system of Aceh Besar, namely: Andisols Saree, Inceptisols Cucum, and Ultisols Jantho. The soil used was taken from the top layer at a 0-20 cm depth. The soybean tested was the Anjasmoro variety with a potential yield of 2.03-2.25 t ha−1. The results showed that the application of amendments (Biochar, Compost, CaCO3, and SP-36) to three soil orders from the dryland of Aceh Besar could increase soybean growth and yield with a maximum yield of 2.2 t ha−1. In Andisols Saree and Inceptisols Cucum, the highest soybean yield was obtained when combined with biochar and compost at a dose of 10 tons ha−1. In Ultisols Jantho it was got when compost was given a single dose of 20 t ha−1. The growth and yield of Anjasmoro soybean varieties on Ultisols Jantho were better than those on Andisols Saree and Inceptisols Cucum.
Optical characterization of NIR spectra for chemomectric model of cocoa pod husk fermented for animal feed

Cocoa pods husk (CPH) fermented can be used as an alternative animal feedstuff. Near-infrared (NIR) spectroscopy has been shown in order to determine the nutritional contents of CPH fermented. This study aims to assess the characteristics of the NIR raw spectra and pretreated spectra for chemomectric model. The raw spectrum pretreatments used include multiplicative scatter correction (MSC), Savitzky-Golay smoothing (SG), and first derivative (1st D) and a combination of each pretreatment, namely MSC + SG, MSC + 1st D, SG + 1st D, and MSC + SG + 1st D. The results showed that the NIR spectrum of CPH fermented had six absorption peaks associated with CPH nutrient content such as moisture (1450 and 1940 nm), lipids (1200 and 1731 nm), starch (2380 nm), and protein (2125 nm). MSC tries to eliminate the scattering and correct the differences in the baseline and trend. SG smoothing is used to remove high-frequency random noise, and peaks. 1st D can be used for baseline correction. Combination of each pretreatment, namely MSC + SG, MSC + 1st D, SG + 1st D, and MSC + SG + 1st D. The combination of pretreatment methods can reduce scattering and noise interference such as offset, dispersion, and overlap and improve smoothness. In addition, information relating to the nutritional contents of CPH was clearly highlighted. This study concludes that a combination of pretreatment methods is better at revealing hidden information and reducing noise than a specific pretreatment method. Combination of MSC + SG pretreatment in this study is considered to generate a spectrum that has good characteristics to be used in chemometric modeling due to it is able to provide information regarding the nutritional contents of CPH clearly, both for qualification and quantification.
The effectiveness of weed extract with different temperature aquades solvent for controlling antraknosa disease of red chili (Capsicum annum L.)

Red chili is an agricultural commodity with high economic value. National red chili production is still low and often does not meet the needs of the Indonesian people. One of the causes is anthracnose disorder. Red chili anthracnose caused by the fungus Colletotrichum capsici is characterized by symptoms of small black spots that can widen, dry out and shrink and the fruit can fall off. The aim of the study was to determine the effectiveness of extracts of several types of weeds with distilled water at different temperatures against anthracnose disease, growth, and yield of red chili plants. The study was a field experiment using a two-factor Completely Randomized Design (CRD). Factor 1 Types of weeds consist of: bandotan, kirinyuh, teki. Factor 2 Aquades Solvents with Different Temperatures consist of: room temperature, 50°C, 90°C. The variables observed were the intensity of anthracnose disease, plant height, number of healthy fruit, healthy fruit weight, number of sick fruit, phytotoxicity test and phytochemical screening test. The process of spraying botanical extracts is carried out once a week. The results showed that the type of weed extract treatment had a significant effect on the intensity of anthracnose disease and the number of sick fruits and had no significant effect on the number of healthy fruit, healthy fruit weight, and plant height. The treatment of distilled water with different temperatures did not significantly affect all observed variables. The interaction between the type of extract and the temperature of the solvent had a significant effect on the number of sick fruits. Bandotan extract treated with distilled water at room temperature produced the least number of sick fruits, namely 3.4 fruit/plant. The solvent temperature of 50°C produced more phytochemical compounds than the 3 types of weeds extracted. Red chili plants do not show any phytotoxic symptoms.
Erratum: “Molecular Outflows in z > 6 Unobscured QSO Hosts Driven by Star Formation” (2023, ApJ, 944, 134)

Formation” (2023, ApJ, 944, 134) Kirsty M. Butler , Paul P. van der Werf, Theodoros Topkaras, Matus Rybak , Bram P. Venemans , Fabian Walter , and Roberto Decarli 1 Institut de Radioastronomie Millimétrique (IRAM), 300 rue de la Piscine, F-38400 Saint-Martin-d’Héres, France; kirstymaybutler@gmail.com 2 Leiden Observatory, Leiden University, PO Box 9513, 2300 RA Leiden, The Netherlands 3 THz Sensing Group, Faculty of Electrical Engineering, Mathematics and Computer Science, TU Delft, The Netherlands 4 Max-Planck Institute for Astronomy, Konigstuhl 17, D-69117 Heidelberg, Germany 5 INAF—Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, via Gobetti 93/3, I-40129, Bologna, Italy Received 2023 May 2; published 2023 June 5
Detecting anomalies in vector boson scattering

Measuring vector boson scattering (VBS) precisely is an important step toward understanding the electroweak symmetry breaking of and detecting new physics beyond the standard model (SM). Herein, we propose a neural network that compresses the features of the VBS data into a three-dimensional latent space. The consistency of the SM predictions and experimental data is tested via binned log-likelihood analysis in the latent space. We show that the network is capable of distinguishing different polarization modes of WWjj production in both di- and semi-leptonic channels. The method is also applied to constrain the effective field theory and two Higgs Doublet Model. The results demonstrate that the method is sensitive to general new physics contributing to the VBS.
Revisiting the charmonium spectra within the non-relativistic framework using the Matrix Numerov method

Charmonium is a composite particle composed of charm and anti-charm quark. Studying spectroscopy on charmonium is one effort to understand the strong interactions. In this study, the mass spectrum of the charmonium is modeled within a non-relativistic framework. As a result, we can use the Schrödinger equation to describe the charmonium system. The results obtained with the non-relativistic framework are reasonable for charmonium because the charm mass is relatively large compared to the quark mass from the first generation. Potential energy for charmonium is composed of phenomenological potential, known as Cornell potential, and terms containing spin-spin interactions. We obtain various charmonium masses by solving the Schrödinger equation using the Matrix Numerov method. The parameters that appear in the potential are adjusted by comparing our calculation of charmonium masses with the data of the charmonium spectra from the particle data group (PDG). When we look at the PDG data, we can see that there are still many charmonia whose quantum numbers are unknown. The results from the model can then predict the quantum number of the charmonia.
Determination of responses of liquid xenon to low energy electron and nuclear recoils using a PandaX-II detector

We present a systematic determination of the responses of PandaX-II, a dual phase xenon time projection chamber detector, to low energy recoils. The electron recoil (ER) and nuclear recoil (NR) responses are calibrated, respectively, with injected tritiated methane or 220Rn source, and with 241Am-Be neutron source, in an energy range from 1-25 keV (ER) and 4-80 keV (NR), under the two drift fields, 400 and 317 V/cm. An empirical model is used to fit the light yield and charge yield for both types of recoils. The best fit models can describe the calibration data significantly. The systematic uncertainties of the fitted models are obtained via statistical comparison to the data.