Miracle-dz/UniFAR-FTUs huggingface dataset:
Dual-Energy CT Iodine Map in Predicting the E�cacy of Neoadjuvant Chemotherapy for Hypopharyngeal Carcinoma: A Preliminary Study

Background: Induction chemotherapy has become one of the important means for advanced hypopharyngeal carcinoma. so far, there is no effective index to predict the curative effect.To investigate the value of normalized iodine map of dual-energy computed tomography (CT) in predicting the e�cacy of neoadjuvant chemotherapy for hypopharyngeal carcinoma. Methods: A total of 54 hypopharyngeal carcinoma patients who underwent two courses of TPF induction chemotherapy were recruited in this study. 3 cases had a complete response (CR), 36 cases had a partial response (PR), 11 cases had stable disease (SD), and 4 cases had a progressive disease (PD) after the chemotherapy. All patients underwent a dual-source CT scan before chemotherapy and rescanned after chemotherapy. The normalized iodine-related attenuation (NIRA) of the mean of maximum slice and most enhanced region of lesion at arterial and parenchymal phase were measured: NIRA mean-A , NIRA max-A , NIRA mean-P , and NIRA max-P , respectively. Correlation analysis was conducted between different metrics of NIRA and the diameter change rate of lesions, and the curative effect was evaluated based on the receiver operating characteristic (ROC) curve. Results: There were a signi�cant correlation between NIRA mean-A , NIRA max-A , NIRA mean-P , NIRA max-P and the change rate of lesion’s maximum diameter (ΔD%) (all P<0.01). The NIRA max-A , NIRA mean-P , NIRA max-P had signi�cant differences between CR, PR, SD, PD groups, but NIRA mean-A did not reach a signi�cant difference. All NIRA mean-A , NIRA max-A , NIRA mean-P , NIRA max-P had signi�cant differences between effective (CR+PR) and ineffective (SD+PD) groups. The ROC analysis revealed that NIRA mean-P had the largest AUC and prediction e�cacy (AUC=0.809). Conclusion: Dual-energy CT normalized iodine map could predict the e�cacy of neoadjuvant
A study of laminar flow of polar liquids through circular microtubes

Recently, the validity of using classical flow theory to describe the laminar flow of polar liquids and electrolytic solutions through microtubes has been questioned for tube diameters as large as 500 μm [Brutin and Tadrist, Phys. Fluids 15, 653 (2003)]. This potential increase in flow resistance, which has been attributed to electrokinetic effects and enhanced surface roughness effects, is critical to the understanding of certain biofluid systems. We seek to characterize this phenomenon for a variety of capillary/liquid systems. Using a numerical solution to the Poisson–Boltzmann equation, we have calculated the electroviscous effect for the systems under consideration. We have also measured the pressure drop as a function of flow rate across well-characterized stainless steel and polyimide microtubes ranging in diameter from 120 μm to 440 μm. Deionized water, tap water, a saline solution, and a variety of glycerol/water mixtures were used. The calculations and measurements suggest that any deviation fro.
DARK NEBULAE IN THE LARGE MAGELLANIC CLOUD

Schmidt plates in three colors from the Curtis and ADH Schmidt telescopes were searched for dark nebulae. Positions, dimensions, and photometric properties are given for 68 identified dark nebulae. They are generally larger than the well-known examples in the Milky Way. Many show alignment with the bar, and there is a strong suggestion of an elongation of the dust clouds parallel to the magnetic field. Key words: dark nebulae - Large Magellanic Cloud
Physics with Co ﬀ ee and Doughnuts ∗ Understanding the Physics Behind Topological Insulators Through Su-Schrieffer-Heeger Model

Topological insulators are a new class of materials that have attracted signiﬁcant attention in contemporary condensed matter physics. They are di ﬀ erent from regular insulators, and they display novel quantum properties that involve the idea of ‘topology’, an area of mathematics. Some of the fundamental concepts behind topological insulators, particularly in low-dimensional condensed matter systems such as poly-acetylene chains, can be understood using a simple one-dimensional toy model popularly known as the Su-Schrie ﬀ er-Heeger (SSH) model. This model can also be used as an introduction to the topological insulators of higher dimensions. Here, we give a concise description of the SSH model along with a brief review of the background physics and attempt to understand the ideas of topological invariants, edge states, and bulk-boundary correspondence using the model.
Knowledge based fuzzy control of systems

A method of fuzzy control of systems based on a concept of human thinking is investigated. The fuzzy controller consists of a knowledge base containing a number of time responses of a process. The elements of this base are cells in which an input and a corresponding output of a system are stored. The cells are organized according to different types of relations. The result is a knowledge structure which contains a model of the process to be controlled. The following phases are distinguished: the learning phase, during which the relation between the imput and the output of a system is learned and the knowledge structure is constructed; and a phase in which the knowledge structure is applied to control the process. The method also provides an indication of the reliability of the control action. >
Adaptation and analytical evaluation of urinary ammonium measurement using an automated method for plasma ammonium quantification

Urinary ammonium quantification provides valuable information to evaluate the renal response to metabolic acidosis. It is useful in differential diagnosis between pathological states of metabolic or renal origin improving the clinical management of these patients. In this study, we evaluate the adaptation of a direct enzymatic assay to measure ammonium in urine samples using the Beckman Coulter DXC700AU analyzer. Intra-day and inter-day imprecision were < 1.0 % and < 7.5 % respectively. Trueness was < 3.5 % and < 8 %, mean SE = 5.64 %. As so, these tests were acceptable. The instrument responded adequately to the standard addition of the analyte. Dilution effect was negligible, and recoveries obtained ranged from 112-150 %. The method showed to be linear between 10-600 µmol/L. The instrument responded adequately to the addition of the standard addition analyte. Dilution effect from diluted urine samples was negligible (< 15 %) for overall concentrations tested. The adaptation and validation of an automated method for plasma ammonium quantification to measure ammonium in urine samples in the laboratory provides a simple, fast, precise and accurate method, avoids the handling of toxic substances, and reduces occupational risks.
Three apparently un-described silk millipedes (Diplopoda: Chordeumatida) recorded from south Wales

We report the discovery of three species of millipede, Psichrosoma cf breuili (Vandeleumatidae), Turdulisoma cf helenreadae and Turdulisoma cf turdulorum (Haplobainosomatidae), from south Wales. These appear to be new to science and are awaiting formal description, but in the mean-time we provide a brief description of each to facilitate their identification within the British Isles.
On the Nature of the Extended Radio Emission Surrounding T Tauri South

At centimeter wavelengths, the young stellar system T Tauri is known to be composed of two sources, the northern one associated with the optical star T Tau itself, and the southern one related to the infrared companion T Tau S. Here we reexamine the origin of the radio emission from these two components using archival 2 cm, 3.6 cm, and 6 cm VLA observations. The emission from the northern member is confirmed to be largely dominated by free-free radiation from an ionized wind, while the southern radio source is confirmed to consist of a compact component of magnetic origin, surrounded by an extended halo. Only moderately variable, the extended structure associated with the southern source is most likely the result of free-free radiation related to stellar winds. However, its flat spectral energy distribution, its extent, and the lack of variation of its size with the frequency of observation are incompatible with the classical picture of a fully ionized wind with constant velocity and mass-loss rate leading to an electron density distribution of ne(r) ∝ r-2. Instead, we propose a model in which the ionization results from the impact of a supersonic wind driven by T Tau Sb onto dense surrounding material, possibly associated with the circumbinary disk recently identified around the T Tau Sa/T Tau Sb pair. The timescales for cooling and recombination in such a situation are in good agreement with the observed morphological changes undergone by the extended structure as its driving source moves through the environment.
INFLUENCE OF GENDER BEHAVIOUR ON PECULIARITIES OF STUDENTS’ SELF-ATTITUDE

The article deals with the problem of the influence of gender behavior on the peculiarities of student youth’s self-attitude which is relevant in contemporary psychological science. The importance of this issue is predetermined by the destructive effect of negative self-attitude on various aspects of human’s vital activity: features of the motivational sphere, the emotional state of the individual, his/her self-esteem, “I-concept”, the specific nature of interpersonal interaction, the productivity of educational activity. Due to the gender mainstreaming concepts in the student age, associated with the orientation based on the choice of the future marital partner, during this period, there is an evident influence of the gender behavior type on self-attitude, that determines the prospects of its study. The aim of the study has been realized in the work, namely, the relationship between the prevailing type of gender behavior and the specificity of personal self-attitude has been established. Within the empirical research, the methods of testing and questioning have been used. The following patterns have been revealed: the androgynous type of gender behavior is related to self-perception, but the sexually-undifferentiated, hyperfeminic type of girls’ gender behavior and the feminine type of boys – to self-rejection; the hypermasculinous type of boys is associated with inadequate positive self-attitude, the androgynous – with adequate self-attitude with elements of criticality, and the sexually-undifferentiated – with inadequately critical self-attitude.
Measuring variation in vertical ground reaction force for football boot midsoles, playing surfaces and football speci�c movements

Excessive repetitive impacts in football are linked to chronic and non-contact injuries. Number of factors (extrinsic and intrinsic) play roles on such injuries. Purpose: Our study aimed to investigate the effect of midsoles, surfaces and speci�c football movements on peak vertical ground reaction force (VGRF). Materials and Methods: The studs of two football boots, arti�cial turf boots (ATB) and natural grass boots (NGB), used in this study were removed, after which the soles were smoothed and covered with abrasive paper. 17 male subjects 26 (±6) years old, 181(±7) cm, 79 (±11) kg performed two speci�c football movements (cutting 135° and penalty kick) on arti�cial turf (AT) and natural grass (NG) with ATB and NGB. The cushioning characteristics of the two football boots and resilience modulus of the two surfaces NG and AT were measured with an impactor machine and light falling weight de�ectometer. Results: Peak VGRF was measured with insole measurement system for all possible conditions. Our �ndings determined that the ATB (softer midsole) generates greater VGRF (2.25BW) than the NGB (1.95BW) – an increase of 15%. In terms of the surface, the AT with higher resilience modulus results in higher VGRF. Moreover, the peak VGRF of the cutting movement (2.28BW) differed signi�cantly compared to the penalty kick (1.99BW). Conclusion: Our results indicate that in boot-surface interaction, the effect of midsole boot cushioning on VGRF is more tangible than surface resilience. However, this study motivates boot developers to design a football boot based on all three variables: midsole hardness, movements and surface hardness.
PRESERVING SENSITIVE DATA BY DATA LEAKAGE PREVENTION USING ATTRIBUTE BASED ENCRYPTION ALGORITHM

---To a large extent we are not quite aware of the real risks and how to avoid them. In most of the organizations and companies, the sensitive data include intellectual property (IP), financial information, patient information, bank accounts, credit-card passwords and other information depending on the particular organization and the industry. The serious obstacles for various companies occur due to data leakage as the number of incidents and the cost to those experiencing increases continuously. The common occurrence of data leakage are connected to our everyday lives – the way we save, store and handle the data. The risk behind data leakage is that the sensitive information will be stolen by the unauthorized person. Hence it is very important to manage the risk of sensitive data exposure by detection and preventing it. As a result, organizations are forced to produce beyond the traditional models of securing the data and locking down specific parts of the IT infrastructure in order to formulate their data protection goals. Data leakage detection in the organization premises helps to detect the unaware transfer of intellectual property from owner to unauthorized person. The Detection process is carried using Fuzzy fingerprint method. The drawback of the detection process is that it only depicts whether the leakage happens or not. Overcoming the drawback, prevention method was proposed where we can keep the sensitive data locked. In this paper, we provide the data leakage prevention to prevent the sensitive data using Attribute based encryption algorithm (ABE). The advantage of this method is to prevent the organizational properties that are too sensitive from the unauthorized hands.
Unsteady fluid-dynamic force solely in terms of control-surface integral

In experimental aerodynamics (and hydrodynamics) it is well known that, if the flow past a solid body is steady, then the total force on the body can be conveniently estimated by the measured flow data on an appropriate control surface alone. We now show that, for the first time, the steady-flow condition can be removed provided that the flow is incompressible: two innovative formulas for the total force acting on any solid body that moves and deforms arbitrarily in a viscous incompressible fluid, solely in terms of control-surface integrals, are derived based on derivative-moment transformations. The formulas are verified by a numerical test for flow over a two-dimensional fishlike swimming body.
Tweet Trajectory and AMPS-based Contextual Cues can Help Users Identify Misinformation

Well-intentioned users sometimes enable the spread of misinformation due to limited context about where the information originated and/or why it is spreading. Building upon recommendations based on prior research about tackling misinformation, we explore the potential to support media literacy through platform design. We develop and design an intervention consisting of a tweet trajectory-to illustrate how information reached a user-and contextual cues-to make credibility judgments about accounts that amplify, manufacture, produce, or situate in the vicinity of problematic content (AMPS). Using a research through design approach, we demonstrate how the proposed intervention can help discern credible actors, challenge blind faith amongst online friends, evaluate the cost of associating with online actors, and expose hidden agendas. Such facilitation of credibility assessment can encourage more responsible sharing of content. Through our findings, we argue for using trajectory-based designs to support informed information sharing, advocate for feature updates that nudge users with reflective cues, and promote platform-driven media literacy.
Location Privacy Improvements in Telecommunication Data Management Systems

—In the era of digital transformation, data are among the most valuable resources. With the development of big data technologies, it is possible to store and process huge amounts of data. Data are possible to collect on every step with high granulation. Such a trend may seriously harm peoples’ privacy. Corresponding laws and regulations are declared to protect data privacy. However, even when all the regulations are obeyed, privacy leakage may still happen if the implementation has some flaws. In this paper, we focus on telecommunication data sets and show how user's location information leakage may happen in already privacy-protected data. Moreover, we give a proposition on how this leakage can be prevented while preserving the same data entropy.
Shear‐improved Smagorinsky modeling of turbulent channel flow using generalized Lattice Boltzmann equation

Generalized Lattice Boltzmann equation (GLBE) was used for computation of turbulent channel flow for which large eddy simulation (LES) was employed as a turbulence model. The subgrid‐scale turbulence effects were simulated through a shear‐improved Smagorinsky model (SISM), which is capable of predicting turbulent near wall region accurately without any wall function. Computations were done for a relatively coarse grid with shear Reynolds number of 180 in a parallelized code. Good numerical stability was observed for this computational framework. The results of mean velocity distribution across the channel showed good correspondence with direct numerical simulation (DNS) data. Negligible discrepancies were observed between the present computations and those reported from DNS for the computed turbulent statistics. Three‐dimensional instantaneous vorticity contours showed complex vortical structures that appeared in such flow geometries. It was concluded that such a framework is capable of predicting accurate results for turbulent channel flow without adding significant complications and the computational cost to the standard Smagorinsky model. As this modeling was entirely local in space it was therefore adapted for parallelization. Copyright © 2010 John Wiley & Sons, Ltd.
Preparation And Optimization Of Ibuprofen-Loaded Nanoemulsion Formulation

— Nanoemulsion containing ibuprofen was developed. However, the composition and method to prepare nanoemulsion were not consistent and needed to be optimised. In this study, nanoemulsion containing a mixture of palm kernel oil esters (PKOE), ibuprofen, Tween 80 (T80), and water was modified from the previous report. It was prepared by a combination of two methods, including low energy and high energy emulsification methods. The composition of nanoemulsion was optimised by a Mixture of Experimental Design (MED), where PKOE, T80, and water were set as variables while droplet size was a response. A total of 15 run experiments were evaluated. An optimum formulation was validated, and the composition of 3.0 wt % of PKOE, 15.0 wt % of Tween 80, 2.0 wt % of ibuprofen and 80.0 wt. % of water with the droplet size of 97.26 nm was obtained. The formulation is stable in the storage at room temperature (25 ± 2 ºC) within 3 months against coalescence process. The polydispersity index and zeta potential of the optimized formulation were 0.271 and -19.8 mV, respectively.
SCIPoC: Semantic Classification of Indoor Point Cloud A study into the possibilities of classifying indoor point cloud using a Deep Learning approach

With the constantly evolving range of applications for technology the quality and amount of data constantly increases as well. In this growing data environment, there is a constant search to provide more value to all data that is available for as little effort as possible. Our research tries to add such additional value by diving into the concept of classifying point cloud by using deep learning, specifically in the indoor environment. This is done by first doing a neural network comparison and then doing a case study. In the neural network comparison, a look is taken into which of the neural networks that are capable of working with point clouds is best suited for our experiments in the indoor scene, based on the training speed, accuracy, ease of use concerning training on external datasets and setting up the network and space efficiency. After the comparison, we chose to continue with the PointCNN network during the case study. The case study is performed on data the NS (Nederlandse Spoorwegen) provided to us and all test results we got from our experiments can be visualized using the web application we developed along with this project. The purpose of the case study is to add extra value to the indoor LiDAR point cloud the NS has captured from Amersfoort Station by using deep learning to automatically classify assets present in their data. The value is in purposes, such as asset management, where the data does not need possibly hundreds of man-hours to be labelled. This saves a lot of time and also money each time a scan is made. In the case study we found through 4 different experiments that unbalanced data makes for bad results, but when a scene is labelled correctly very good results can be found in a local scene.
Directors as Trustees: The Nash Axiomatic Approach to Multi-Stakeholder Governance

The view of corporate managers as agents of the shareholders has been questioned from inside and from outside the business community, with demands that they be committed, instead, to value-maximization for all stakeholders. This paper maintains that existing theories of strategy make implicit or explicit assumptions on the irrelevance of transaction costs in the processes of value creation and appropriation that result in a minor role of managers and directors in stakeholders’ value-maximization. Next, it explains why managers and directors acting as trustees of the business venture, with the mission of governing and managing the business under the prescriptions of the axiomatic Nash bargaining solution, can be a transaction costs efficient way of governing the multi-stakeholders firm.
Chitosan nanoparticles: Current aspects

Nanoparticles are currently becoming one of the important parts for various segments. Much more process/application becomes effective or more economical and time-saving because of nanoparticles. Polymers with distinct characteristics are widely used but nature-origin polymer has important properties that make a polymeric material for nanoparticles. Many methods were successfully evaluated to prepare chitosan nanoparticles for loading various compounds including ionotropic gelation, micelles, and emulsification methods. In this article, we have reviewed the current aspects made-up of chitosan nanoparticles. Chitosan nanoparticles have an application to improve bioavailability, controlled release of the loaded drug also increases cellular uptake and targeting to cancer cells, stabilization of proteins, and enhanced the effectivity of anti-microbial agents. In agriculture, chitosan nanoparticles are used for herbicides, insecticides, and pesticide loading to improve the cultivation of crops and are used in food packaging. Chitosan nanoparticles also have wide applications as implant and therapeutic agent.