Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Simulation of Granular Particles MOVEMent in Fluid Flow

A method to couple continuum and discontinuum flow has been developed to simulate granular particles movement in a flowing fluid. The movement of granular particles is modeled using the discrete element method, while the finite volume scheme is used to simulate fluid flow. The existence of particles in the flow region results in a reduction in the amount of fluid flow in that region. The flowing fluid is expected to induce drag forces on the particles which are computed based on the relative velocities between the fluid and the particles. Buoyant force on a particle is equal to the weight of the fluid displaced by the particle. All forces acting on each individual particle are summed in determining the particle movement. Examples are provided to illustrate the effectiveness of the proposed method in simulating granular particles movement in a flowing fluid.
Indoor Environment Learning via RF-Mapping

Intelligent integrated sensing and communication is one of key aspects of future wireless networks in which sensing can be leveraged to enhance communications and vice-versa. In this paper, we propose a novel sensing solution that can be used to represent an RF-environment. The proposed solution accounts for practical challenges such as limited time resolution due to limited bandwidth with no angle measurements while providing robustness to wireless propagation phenomena such as diffraction. Our proposed method leverages offline data collection during RF-mapping, and finds the location of virtual anchors (VAs), i.e., mirror images of a physical anchor w.r. t reflectors, through an iterative process called successive tap removal (STR). Afterwards, machine learning (ML) models are trained to predict dominant multipath components of the received wireless channel at a given location. Found VAs and their associated ML models stand for intermediate entities that represent an RF-environment. As an application, we use the developed models in the context of multipath assisted positioning to improve positioning accuracy in challenging indoor environments with heavy non-line-of-sight (NLoS) conditions. Finally, we extend our ideas to systems with multi-antenna transmitters and show that VA detection accuracy can be improved, bringing higher accuracy to the downstream positioning applications.
Cosmology and the Door to Other Dimensions and Universes

One should not limit our space travel optio ns to consider only approaches dictated by the conventional wisdom. There is nothing more intriguing in cosmological conjectures as the concepts of time and space within the meaning of the context “universe. ” In this paper we propose that the dimensions, w hich define spatial and temporal “space, ” are represented by a continuum of many dimensions and universes – an infinite number of them. Time is not only relative, but also the discriminator or “definer” of a continuum of these universes; time to some degre e, may identify the start or closure of a separate series of these dimensional sets that can be parallel or layered universes or sequences of realities. Similarly, spatial dimensions as well as gravity may also offer a portal to travel amongst these differ ent sequences of realities. With these concepts in mind we discuss two possible qualitative experiments to address these conjectures. It is concluded that gravity, possibly due to its multi -dimensional nature, and High - Frequency Gravitational Waves (HFGW) may hold the key for inter -dimensional and/or inter -universe space travel. Thus we propose a framework for developing a space time -universe fabric that may offer opportunities for inter -dimensional and/or inter universe space travel .
Exact controllability for 1‐D quasilinear wave equations with internal controls

For 1‐D quasilinear wave equations with different types of boundary conditions, based on the theory of the local exact boundary controllability, using an extension method, the author establishes the exact controllability in a shorter time by means of internal controls acting on suitable domains. In particular, the exact controllability can be realized only by internal controls, and the control time can be arbitrarily small. Copyright © 2016 John Wiley & Sons, Ltd.
Successful Management of a Broken Spinal Needle During Difficult Spinal Anesthesia: A Case Report

Spinal anesthesia is the most common mode of anesthesia utilized during caesarian sections worldwide. Despite its many advantages over general anesthesia in the pregnant cohort, uncommon and even catastrophic complications could occur due to patient-related, equipment-related, and procedure-related complications. One such uncommon event of a broken spinal needle during failed spinal anesthesia for a caesarian section and subsequent successful management is described here.
Fitting of cavity decay rate in cavity ring-down system with definite systemic response time

For the accurate fitting of cavity decay rate in cavity ring-down technique, the theoretical fitting bias of the weighted least square algorithm for decay signal modulated by definite systemic response time is analyzed and tested. After proper data-point truncation, the finely precise and highly accurate fitting of cavity decay rate can be achieved simultaneously. This method is tested by experimental decay signals, results in better fitting performance than the nonlinear least square fitting (the Levenberg-Marquardt) algorithm.
Analysis of Factors Affecting Profit Persistency

Information about earnings has an important role for internal and external parties in the company's decision making. Profit that can describe the sustainability of earnings in the future is one of the characteristics of quality earnings. Investors should not only pay attention to high profits, but also pay attention to persistent earnings. This study aims to examine the factors that affect earnings persistence. The population in this study are food & beverage companies listed on the Indonesia Stock Exchange for the 2016-2020 period. The sample used purposive sampling and obtained a sample of 16 companies with a period of 5 years so that 80 samples were obtained. Earnings Persistence is proxied by Profit Before Tax ratiod to Average Total Assets. Sales Volatility is proxied by Sales in a ratio of Total Assets, and Operational Cash Flow Volatility is proxied by Total Operating Cash Flows ratioed to Total Assets. The results showed that sales volatility had a positive effect on earnings persistence and operating cash flow volatility had a positive effect on earnings persistence.
Precision targeting for retinal motion extraction using cross-correlation with a high speed line scanning ophthalmoscope

Evaluations to quantify the precise targeting of template features and to select template sizes for retinal motion extraction were carried out using cross-correlation with a high speed line scanning ophthalmoscope (LSO) capable of 160 frames per second. The optimal template targeting was located on a retinal vessel pattern with vessel bifurcation or vessel features occupying approximately eighty percent of the template area preferred. The optimal template size for this LSO system was 80 × 80 pixels and it was able to extract retinal motion up to 300 deg s−1 at a speed of 30 Hz. Although the optimized template size was a compromise between having enough image data on the retinal features to make matches reliably and have good temporal resolution, the optimal targeting of the template location and size described here was appropriate and effective in extracting retinal motion. In addition, the determination of cross-correlation templates could be applied to other images having similar properties; i.e., relatively small features of distinct gray levels on an otherwise fairly uniform background.
Two-dimensional streaming flows driven by sessile semicylindrical microbubbles

Abstract Steady streaming flow from oscillating sessile bubbles at walls is the centrepiece of many microstreaming experiments. A complete asymptotic theory of the flow is developed, requiring only the oscillatory driving frequency and material parameters as input, and properly accounting for bubble and wall boundary conditions. It is shown that mixed-mode streaming of neighbouring bubble oscillation modes is responsible for the robustness of the generic ‘fountain’ vortex pair flow pattern, and that the pattern reverses for high frequencies when wall-induced streaming becomes dominant. The far-field flow and its dependence on control parameters are in agreement with experimental data and can be understood considering just a few asymptotic coefficients.
Concurrent dose-finding of a novel cancer drug with and without a second agent

Abstract Introduction: More complex research questions are being posed in early-phase oncology clinical trials, necessitating design strategies tailored to contemporary study objectives. This paper describes the proposed design of a Phase I trial concurrently evaluating the safety of a hematopoietic progenitor kinase-1 inhibitor (Agent A) as a single agent and in combination with an anti-PD-1 agent in patients with advanced malignancies. The study’s primary objective was to concurrently determine the maximum tolerated dose (MTD) of Agent A with and without anti-PD-1 therapy among seven possible study dose levels. Methods: Our solution to this challenge was to apply a continual reassessment method shift model to meet the research objectives of the study. Results: The application of this method is described herein, and a simulation study of the design’s operating characteristics is conducted. This work was developed through collaboration and mentoring between the authors at the American Association for Cancer Research (AACR) and the American Society of Clinical Oncology (ASCO) annual AACR/ASCO Methods in Clinical Cancer Research Workshop. Conclusions: The aim of this manuscript is to highlight examples of novel design applications as a means of augmenting the implementation of innovative designs in the future and to demonstrate the flexibility of adaptive designs in satisfying modern design conditions. Although the design is presented using an investigation of Agent A with and without anti-PD-1 therapy as an illustrative example, the approach described is not specific to these agents and could be applied to other concurrent monotherapy and combination therapy studies with well-defined binary safety endpoints.
Book Review: Women and Leadership: Real Lives, Real Lessons

Mezirow, J. (1994). Understanding transformation theory. Adult Education Quarterly, 44(4), 222–232. https://doi. org/10.1177/074171369404400403 Ray, N. (2014). Exploring ‘empowerment’ and ‘agency’ in Ronald Dworkin’s theory of rights: A study of women’s abortion rights in India. Indian Journal of Gender Studies, 21(2), 277–311. https://doi.org/10.1177/0971521514525158 Wajcman, J. (2007). From women and technology to gendered technoscience. Information, Communication & Society, 10(3), 287–298. https://doi.org/10.1080/13691180701409770
STAY-GREEN Accelerates Chlorophyll Degradation in Magnolia sinostellata under the Condition of Light Deficiency

Species of the Magnoliaceae family are valued for their ornamental qualities and are widely used in landscaping worldwide. However, many of these species are endangered in their natural environments, often due to being overshadowed by overstory canopies. The molecular mechanisms of Magnolia’s sensitivity to shade have remained hitherto obscure. Our study sheds light on this conundrum by identifying critical genes involved in governing the plant’s response to a light deficiency (LD) environment. In response to LD stress, Magnolia sinostellata leaves were endowed with a drastic dwindling in chlorophyll content, which was concomitant to the downregulation of the chlorophyll biosynthesis pathway and upregulation in the chlorophyll degradation pathway. The STAY-GREEN (MsSGR) gene was one of the most up-regulated genes, which was specifically localized in chloroplasts, and its overexpression in Arabidopsis and tobacco accelerated chlorophyll degradation. Sequence analysis of the MsSGR promoter revealed that it contains multiple phytohormone-responsive and light-responsive cis-acting elements and was activated by LD stress. A yeast two-hybrid analysis resulted in the identification of 24 proteins that putatively interact with MsSGR, among which eight were chloroplast-localized proteins that were significantly responsive to LD. Our findings demonstrate that light deficiency increases the expression of MsSGR, which in turn regulates chlorophyll degradation and interacts with multiple proteins to form a molecular cascade. Overall, our work has uncovered the mechanism by which MsSGR mediates chlorophyll degradation under LD stress conditions, providing insight into the molecular interactions network of MsSGR and contributing to a theoretical framework for understanding the endangerment of wild Magnoliaceae species.
Flexible and Wearable Dual-Band Differential Extraoral Antenna for eTDS Applications

Wearable assistive devices are essential for performance monitoring and inferring the tongue gestures of disabled individuals in medical rehabilitation. In this paper, a flexible and wearable differential extraoral antenna is proposed with dual resonances (915 MHz and 2.4 GHz) in the Industrial, Scientific, and Medical (ISM) band for extraoral tongue drive system (eTDS) applications. The size of the fabricated prototype of the extraoral differential antenna is (0.135<inline-formula><tex-math notation="LaTeX">${{\bm{\lambda }}}_{\bm{g}} \, \times\, $</tex-math></inline-formula>0.065<inline-formula><tex-math notation="LaTeX">${{\bm{\lambda }}}_{\bm{g}} \, \times \, $</tex-math></inline-formula>0.002<inline-formula><tex-math notation="LaTeX">${{\bm{\lambda }}}_{\bm{g}}$</tex-math></inline-formula>). The performance of the differential extraoral antenna is analysed using a realistic human head model. Further, the extraoral antenna is fabricated and experimentally validated its performance in the close vicinity of the artificial head model. The measured impedance bandwidth (≤ −10 dB) and peak gain values are 90 MHz and <inline-formula><tex-math notation="LaTeX">$ -$</tex-math></inline-formula>20.00 dBi, respectively, at 0.915 GHz; and 180 MHz and <inline-formula><tex-math notation="LaTeX">$ -\! $</tex-math></inline-formula> 12.87 dBi, respectively, at 2.4 GHz. The specific absorption rate (SAR) parameter values have also been analyzed for both the resonating frequencies over 1 g and 10 g of mass tissue through simulations. Further, the link budget was theoretically calculated based on these acceptable SAR values. The proposed antenna could communicate effectively by eliminating balun's additional impedance mismatch loss due to direct interfacing. Thus, the proposed extraoral differential antenna can establish an effective communication link for data and power transfer in the eTDS technology-based applications.
COPD Exacerbation: Why It Is Important to Avoid ICU Admission

Chronic obstructive pulmonary disease (COPD) is one of the major causes of morbidity and mortality worldwide. Hospitalization due to acute exacerbations of COPD (AECOPD) is a relevant health problem both for its impact on disease outcomes and on health system resources. Severe AECOPD causing acute respiratory failure (ARF) often requires admission to an intensive care unit (ICU) with endotracheal intubation and invasive mechanical ventilation. AECOPD also acts as comorbidity in critically ill patients; this condition is associated with poorer prognoses. The prevalence reported in the literature on ICU admission rates ranges from 2 to 19% for AECOPD requiring hospitalization, with an in-hospital mortality rate of 20–40% and a re-hospitalization rate for a new severe event being 18% of the AECOPD cases admitted to ICUs. The prevalence of AECOPD in ICUs is not properly known due to an underestimation of COPD diagnoses and COPD misclassifications in administrative data. Non-invasive ventilation in acute and chronic respiratory failure may prevent AECOPD, reducing ICU admissions and disease mortality, especially when associated with a life-threating episode of hypercapnic ARF. In this review, we report on up to date evidence from the literature, showing how improving the knowledge and management of AECOPD is still a current research issue and clinical need.
Sensitivity Analysis on Neural Network Algorithm for Primary Superheater Spray Modeling

ABSTRACT Nonlinear, large inertia with long dead time is always associated with the main steam temperature parameter in coal fired power plant. Successful control of the main steam temperature within ±2°C of its setpoint is the ultimate target for coal-fired power plant operators. Two of the most common main steam temperature circuit are primary superheater spray and secondary superheater spray. Various methods were used to model the primary superheater spray control valve opening, and the neural network remains one of the most popular choices among researchers. It remains inconclusive which neural network algorithm types, setup, number of layers, and training algorithm will give the best result. As such, the paper shows the best setup for the neural network algorithm based on sensitivity analysis methodology for one hidden layer. The inputs selected for the neural network are generator output, main steam flow, total spray flow, and secondary superheater outlet steam temperature, while the output selected is primary spray flow control valve opening.
Cluster Ensemble Based on Spectral Clustering

Spectral clustering has become increasingly popular in recent years.It can deal with arbitrary distribution dataset,however,it is sensitive to the scaling parameter.Cluster ensemble based on spectral clustering is proposed which utilizes the good robustness and generalization ability of cluster ensemble.Multiform clustering components are generated by exploiting the property of spectral clustering,and the connected triple algorithm which can expand the similarity information among data is used to compute the affinity matrix,then the affinity matrix is used by spectral clustering algorithm to produce ensemble results.In order to make the algorithm extensible to large scale applications,only the similarity among the rand sampling data and the similarity between the random sampling data and the rest data are computed by adopting the Nystrm sampling method.The proposed algorithm makes full use of the excellent performance of spectral clustering as well as avoids the selection of the accurate parameter in spectral clustering.Experiments show that compared with other common cluster ensemble techniques,the proposed algorithm is more excellent and efficient,and that it can provide a good way to solve data clustering and image segmentation problem.
Minimizing the Makespan and Total Tardiness in Hybrid Flow Shop Scheduling with Sequence-Dependent Setup Times

The paper considers the production scheduling problem in a hybrid ﬂow shop environment with sequence-dependent setup times and the objectives of minimizing both the makespan and the total tardiness. The multi-objective genetic algorithm is applied to solve this problem, which belongs to the non-deterministic polynomial-time (NP)-hard class. In the structure of the proposed algorithm, the initial population, neighborhood search structures and dispatching rules are studied to achieve more eﬃcient solutions. The performance of the proposed algorithm compared to the eﬃcient algorithm available in literature (known as NSGA-II) is expressed in terms of the data envelopment analysis method. The computational results con-ﬁrm that the set of eﬃcient solutions of the proposed algorithm is more eﬃcient than the other algorithm.
Graphical Interpretations of Rank Conditions for Identification of Linear Gaussian Models

The literature on graphical models and the literature on identi cation pursue similar goals, but do not use entirely each other's results, because represent them in di erent languages. To ease the communication between these elds, I translate the most important theorems on identi cation of linear Gaussian Simultaneous Equations Models (SEMs) and Structural Vector Autoregressions (SVARs) into the language of graphical models. I propose graphical interpretations of the rank conditions for identi cation of SEMs, of the rank condition of Rubio-Ramirez et al (2010) for identi cation of SVARs with linear and nonlinear restrictions, and of the theory of partial identi cation for SVARs.
Isolation, Identification, and Biological Activity Analysis of Swim Bladder Polypeptides from Acipenser schrencki

Swim bladder polypeptides (SBPs) of Acipenser schrencki were analyzed for their antioxidant activity and physicochemical properties. The results showed the optimal enzymatic conditions were alkaline protease with a solid-to-liquid ratio of 1:20, an incubation time of 4 h, a temperature of 55 °C, and an enzyme dosage of 5000 U/g. Three different molecular weight fractions (F1, F2, and F3) were obtained via ultrafiltration. F3 (912.44–2135.82 Da) showed 77.90%, 72.15%, and 66.25% removal of O2•-, DPPH•, and •OH, respectively, at 10 mg/mL, which was significantly higher than the F1 and F2 fractions (p < 0.05). F3 contained proline (6.17%), hydroxyproline (5.28%), and hydrophobic amino acids (51.39%). The UV spectrum of F3 showed maximum absorption at 224 nm. Peptide sequence analysis showed that F3 contained antioxidant peptides (MFGF, GPPGPRGPPGL, and GPGPSGERGPPGPM) and exhibited inhibitory activities on angiotensin-converting enzyme and dipeptidyl peptidase III/IV (FRF, FPFL and LPGLF). F3 was considered a good raw material for obtaining bioactive peptides.
Gabor-like systems in L2(Rd) and extensions to wavelets

In this paper we show how to construct a certain class of orthonormal bases in L 2 (R d ) starting from one or more Gabor orthonormal bases in L 2 (R). Each such basis can be obtained acting on a single function Ψ(x) ∈ L 2 (R d ) with a set of unitary operators which operate as translation and modulation operators in suitable variables. The same procedure is also extended to frames and wavelets. Many examples are discussed.
A Systematic Review of the Influence of High-Intensity Interval Training on Body Composition and Synthesizing Evidence from Scientific Literature

INTRODUCTION AND OBJECTIVE High-intensity interval training (HIIT) involves performing a series of intense exercises interspersed with periods of passive or active rest. HIIT provides changes in body composition and physical fitness. The aim of this study is to determine the impact of HIIT on changes in body composition and compare the results of HIIT with moderate-intensity continuous training (MICT) and resistance training (RT). REVIEW METHODS The PubMed and Google Scholar databases were searched for studies examining the impact of HIIT on changes in body composition. Articles published up to 31.03. 2023 were included, with a particular focus on the most recent publications. STATE OF KNOWLEDGE The classification of HIIT considers the intensity, duration and number of bouts during training session, as well as the length of the intervention period. Body composition describes qualitive and quantitative elements in the human body. Improving body composition benefits health and enables better training results. HIIT promotes weight loss, reduces BMI and decreases the content of adipose tissue, including visceral fat. HIIT is equally or more effective than MICT in burning fat tissue. Resistance exercises added to HIIT protocols have a favorable effect on changes in body composition. SUMMARY The assessment of HIIT effects on changes in body composition is complicated due to various interpretations of its definition. Further analyses are needed to systematize knowledge of the benefits of different HIIT protocols. Research optimizing them for reducing adipose tissue based on age, gender, body mass and presence of metabolic disorders are necessary.