Miracle-dz/UniFAR-FTUs huggingface dataset:
Dialister in Microbiome of Cancer Patients: A Systematic Review and Meta-Analysis

Cancers are complex and multifactorial diseases and considered a global problem, each year, approximately 9 million people die because of cancer in the world. [1,2] In recent years, although significant advances have been made in prevention and treatment options for some cancer types, the number of cancer patients is still increasing due to the aging global population, as well as risk factors such as smoking, obesity and diet. [3] Incidence of cancer is estimate to increase two times more in 2035. It is expected to affect especially in low-income and middle-income countries [LMICs]2. Of course not all cancers can be prevented, but prevention is very important and need long-term strategy. [4] Besides surgery and radiotherapy systemic treatment options such as cytotoxic chemotherapy, hormonal Objectives: Dialister is the genus classified within Veillonellaceae family in Firmicutes phylum. Dialister genus has been detected in patients with oral infections and healthy people in their oral cavity, as well as in clinical samples in different parts of the body. Cancers are complex and multifactorial diseases and considered a global problem. End products of Dialister such as acetate, lactate and propionate seem to be important in the mechanism of carcinogenesis. Although it is reported that the composition of Dialister has changed in articles investigating the microbiome relationship with cancer patients, it is seen that it is not taken into consideration. The aim of this review was to investigate cancer studies in humans on the association of microbiome with composition changes in Dialister. Methods: A systematic literature search was performed using in Pubmed. In vitro and animal studies were excluded. After database search, 510 articles were found. 484 article were excluded based on the exclusion criteria. The remaining 26 articles were identified and analysed for Dialister. Meta-Mar online software was used for metaanalysis results. Results: The meta-analysis included 26 studies with 1649 control samples and 1961 cancer samples. Compared to healthy controls, Dialister were significantly elevated in samples from cancer patients (Hedges’g=0.907, p<0.05, 95%CI [13.19 16.746]. Statistical heterogeneity was found hihg (I2=99.6%). Conclusion: This review showed that a relationship between different cancer types and Dialister composition of microbiome. however, these data still seem very weak to reveal the Dialister and cancer relationship. Dialister can be an important genus especially in solid tumors but, more comprehensive and wider studies are needed to understand the relationship between Dialister and cancer. In addition, due to rapidly developing new bioinformatics analysis techniques, massive data should be added to public databases by the authors in studies of microbiome or microbiota disease relationship. Thus, it is valuable in terms of detecting different strains such as Dialister, which can be ignored by re-evaluating these data in the future.
“Cellular Network Densification Increases Radio-Frequency Pollution”: True or False?

A very popular theory circulating among non-scientific communities claims that the massive deployment of Base Stations (BSs) over the territory, a.k. a. cellular network densification, always triggers an uncontrolled and exponential increase of human exposure to Radio Frequency “Pollution” (RFP). To face such concern in a way that can be understood by the layman, in this work we develop a very simple model to compute the RFP, based on a set of worst-case and conservative assumptions. We then provide closed-form expressions to evaluate the RFP variation in a pair of candidate 5G deployments, subject to different densification levels. Results, obtained over a wide set of representative 5G scenarios, dispel the myth: cellular network densification triggers an RFP decrease (up to three orders of magnitude) when the radiated power from the BS is adjusted to ensure a minimum sensitivity at the cell edge. Eventually, we analyze the conditions under which the RFP may increase when the network is densified (e.g., when the radiated power does not scale with the cell size), proving that the amount of RFP is always controlled. Finally, the results obtained by simulation confirm the outcomes of the RFP model.
Model Predictive Control of an Infrared-Convective Dryer

Abstract For product quality purposes, the drying of some delicate materials is not easily feasible without the realization of a tight, well-designed controller. This study presents the results of a model predictive control for the drying of a thin fiber sheet moving through an electric infrared dryer, whose process dynamics are described by a minimum realization, previously developed. The simulation results indicate that the MPC multivariable controller is able to handle process interactions and produced good performance for tracking set point changes in the humidity and temperature of the material exiting the dryer and also for rejecting measured stochastic disturbances in the inlet humidity stream.
A Novel Hybrid Life Cycle Assessment Approach to Air Emissions and Human Health Impacts of Liquefied Natural Gas Supply Chain

Global interest in LNG products and supply chains is growing, and demand continues to rise. As a clean energy source, LNG can nevertheless emit air pollutants, albeit at a lower level than transitional energy sources. An LNG plant capable of producing up to 126 MMTA was successfully developed and simulated in this study. A hybrid life cycle assessment model was developed to examine the social and human health impacts of the LNG supply chain’s environmental air emission formation. The Multiregional Input–Output (MRIO) database, the Aspen HYSYS model, and the LNG Maritime Transportation Emission Quantification Tool are the key sources of information for this extensive novel study. We began our research by grouping environmental emissions sources according to the participation of each stage in the supply chain. The MDEA Sweetening plant, LNG loading (export terminal), and LNG transportation stages were discovered to have the maximum air emissions. The midpoint air emissions data estimated each stage’s CO2-eq, NOx-eq, and PM2.5-eq emissions per unit LNG generated. According to the midpoint analysis results, the LNG loading terminal has the most considerable normalized CO2-eq and NOx-eq emission contribution across all LNG supply chain stages. Furthermore, the most incredible intensity value for normalized PM2.5-eq was recorded in the SRU and TGTU units. Following the midpoint results, the social human health impact findings were calculated using ReCiPe 2016 characterization factors to quantify the daily loss of life associated with the LNG process chain. SRU and TGTU units have the most significant social human health impact, followed by LNG loading (export terminal) with about 7409.0 and 1203.9 (DALY/million Ton LNG produced annually), respectively. Natural gas extraction and NGL recovery and fractionation units are the lowest for social human health consequences.
A design methodology for a bulk-micromachined two-dimensional electrostatic torsion micromirror

This paper presents a design methodology for a two-dimensional (2-D) electrostatic torsion micromirror fabricated with bulk-micromachining technology. The theoretical models in mechanical and electrostatic fields presented here provide insights into the influences of different design parameters on micromirror performance. Parametric numerical models built in ANSYS are used to more accurately predict its performance and further refine the design parameter values derived from the theoretical models. By use of the electrical analogy method, an equivalent electrical circuit is built in PSPICE to predict the static and dynamic performance of this micromirror, with the numerical simulation results as the input parameters. The equivalent electrical circuit has been demonstrated to be a simple and powerful approach to characterize the performance of this 2-D torsion micromirror. The test results for this micromirror reveal very good agreement between experimental and numerical results, taking into account fabrication tolerances and experimental accuracies. Incorporating the fabrication tolerances of bulk-micromachining technology, this design methodology can be readily applied to performance characterization and design optimization.
Predicting the Shelf-Life of Single Base Propellants

Ammunitions stored in war fields have lifespans that are related to the single base propellants, as Nitrocellulose (NC), the main component of propelling gunpowder, decomposes naturally into an unstable substance, similar to other nitric acid esters. Decomposition is inevitable; however a decomposition product (NO2, NO3, and HNO3) and tranquillizer DPA (Diphenylamine), which have high reactivity, can be added to a propellant to restrain the induction of automatic catalysis by a decomposition product. The decay rate of the tranquillizer is also affected by the production rate of the decomposition product of NC. Thus, as the storage period of single base propellants lengthens, the reduction rate of the tranquillizer content increases. This paper presents a new methodology based on data mining and regression analysis for estimating the shelf-life of single base propellants using data from the ASRP to 105mm HE (KM1 and M1).
Re-evaluating Systems Engineering as a Framework for Tackling Systems Issues

The engineering discipline of systems engineering was developed as means to address the design, implementation and operation of large, complex technical systems. Whilst systems engineering includes methods for addressing the whole life-cycle of the end product system, and processes for determining what should be made, it still reflects many aspects of the traditional engineering worldview. During the past decade or so, there has been a growing trend within the systems engineering community to appreciate that systems engineering has much wider concerns than just addressing the end product system, and properly encompasses the social aspects of the interaction of people with the end product system, and also the organizational system in which the development is done. Over this period, the framework of ideas that underpins systems engineering has also progressed from engineering science to a transdisciplinary position that incorporates many of the established systems approaches to management. In this paper, we examine the nature of contemporary systems engineering and conclude that systems engineering is a metamethodology for the development and evolution of large, socio-technical systems. We argue that, as such, systems engineering is an appropriate methodology for any problem situation where the solution can be expected to involve a substantial technical component. Copyright # 2007 John Wiley & Sons, Ltd.
Selecting Nodes Based on Resource Availability in Planetlab System

I. Introduction Cooperatively pooled resources in large scale platforms are generally spread over a wide area and loosely managed by the participating organizations. In this project it involved computing platforms such as PlanetLab [1] demonstrate the feasibility of using cooperatively pooled distributed resources for deploying experimental distributed systems and applications. PlanetLab is a geographically distributed overlay network designed to support the deployment and evaluation of planetary-scale network services. PlanetLab do not utilize any centralized resource management and scheduling mechanisms, thereby putting the responsibility of node selection for application deployment and scheduling on the users. Different user applications may be co-hosted on a node and they compete for the resources available on that node. Such platforms allocate resources to competing applications on fair-share basis [14] and do not provision guaranteed levels of resource capacities to an application. The focus of our work is to observe the resource availability characteristics of nodes in platforms. Based on this observation, we would develop an intelligent method to select nodes on such environment. In order to select nodes those are likely to satisfy the given requirement for a long time. The requirements of a task could be stated in terms of CPU capacity, memory, and network bandwidth [15]. We also observe ineligibility period that might very less time within 60 sec; it can tolerate before take any remedial actions such as relocating and terminate. After getting eligible the application runs normal. We also develop idle resource predicting model that might useful for replicated services or any distributed application. We consider here cooperatively pooled shared computing platforms with the following characteristics, as exemplified by the PlanetLab platform. Existing system did not utilize any centralized resource management and scheduling mechanisms, Different user applications may be co-hosted on a node and they compete for the resources available on that node. Allocate resources to competing applications on fair share basis and do not provision guaranteed levels of resource capacities to an application. In these platforms are time-shared among competing
The Outage-Free Replacement Problem in Unmanned Aerial Vehicle Base Stations

Thanks to the feature of on-demand and flexible deployment, unmanned aerial vehicle base stations (UAV-BS) can enhance coverage and capacity beyond current 5 G cellular networks. The main challenge in deploying UAV-BS lies in the fact that the limited battery in UAB-BS cannot support long-time reliable services. Therefore, a serving UAV-BS being running out its power needs to be replaced with a new fully-charged UAV-BS. This is called UAV-BS replacement process. However, most existing UAV-BS replacement methods ignore the link outage problem during the replacement. Thus the outage-free replacement problem (OFRP) for UAV-BSs arises. We provide a method to calculate the outage probability of the UAV replacement approach. We further formulate the Outage Probability Minimization Problem (OPMP) for UAV-BS replacement. To solve this problem, a 3-Dimensional Outage-Free Replacement Approach (3D-OFRA) is presented, which exploits different heights of swapping UAV-BSs during the replacement process. More importantly, we provide the guidelines of determining the distance between two UAV-BSs to minimize the link outage possibility during the UAV-BS replacement process. Our numerical results show that with the recommended distance between two UAV-BSs based on 3D-OFRA, the outage probability of the served UEs approaches to zero, compared with 40% of the traditional direct replacement approach.
Data-Driven Approaches to Solve Inverse Problems

OF THE THESIS Data-Driven Approaches to Solve Inverse Problems by Peijie(Ricardo) Qiu Master of Science in Computer Science Washington University in St. Louis, May 2021 Research Advisor: Professor Umberto Villa & Ulugbek Kamilov The main purpose of this thesis is to discuss data-driven approaches to solve inverse problems in image reconstruction. In the Bayesian framework, the image prior serves as a regularizer in the computation of a maximum-a-posterior estimation of the reconstructed image. Classical image priors include Gaussian random space(e.g. Tikhonov regularization) or Besov prior (e.g. Total Variation regularization). Inspired by generative adversarial networks, a critic (discriminator) can serve as a regularizer, because of its capability of distinguishing the distribution of the ground-truth images from the distribution of the naively reconstructed images with classical regularization functional. Another data-driven approach, regularization by denoising (RED), provides a flexible and effective way to combine the state-of-the-art denoisers and model-based methods with a variety of optimization strategies to solve the inverse problem. Unlike traditionally hand-crafted regularizers, the data-driven regularization has the potential to learn an optimal regularizer from the data. In this thesis, we will consider two widely used linear forward models, and two data-driven approaches to solve inverse problem: adversarial regularizer and regularization by denoising. xi
Measurement and modeling of soil electromagnetic behavior

The paper presents procedures to measure and model soil electromagnetic parameters, as a function of frequency, adequate for frequency domain and transient studies of soil behavior and its effect in grounding. Such procedures take into account the problems related to field measurements, the need of a physical validation, and the great diversity of soil characteristics. The physical model, with a small number of numeric parameters, reproduces, within measurement accuracy and small heterogeneity effects, the measurement results, assuring consistent physical behavior. The authors present the results obtained, using such procedures, of a large number of soil samples, with very different structures and geological origins, and quite far apart, and a statistical analysis of such results. Some examples illustrate the effect of soil parameters, namely in the frequency domain and for impulses typical of lightning discharges.
Avalanche Noise Characteristics of Single Al Ga As -GaAs Heterojunction APDs

Abstract— Avalanche multiplication and excess noisehave been measured on a series of Al Ga 1 As–GaAs andGaAs–Al Ga 1 As ( =03 0 45 , and 0 6 ) single hetero-junction p + -i-n + diodes. In some devices excess noise is lowerthan in equivalent homojunction devices with avalanche regionscomposed of either of the constituent materials, the heterojunctionwith =0 3 showing the greatest improvement. Excess noisedeteriorates with higher values of because of the associatedincrease in hole ionization in the Al Ga 1 As layer. It alsodepends critically upon the carrier injection conditions and MonteCarlo simulations show that this dependence results from thevariation in the degree of noisy feedback processes on the positionof the injected carriers. Index Terms— Avalanche photodiodes (APDs), heterojunctions,impact ionization, noise. I. I NTRODUCTION A VALANCHE photodiodes (APDs) are key componentsof optical datacommunications systems because of theirhigh sensitivity which results from their internal avalanche gain.However,thisinternalgainisprovidedviathestochasticprocessof impact ionization and therefore contributes its own excessnoise.It is well known that excess avalanche noise can be reducedbelow the level predicted by the local model of McIntyre [1] byreducing the avalanche region width . This is because the deadspace, the distance travelled by carriers before their ionizationcoefﬁcient reaches equilibrium with the electric ﬁeld, becomesa larger fraction of their mean ionization path lengths. The as-sociated reduced uncertainty in ionization position reduces theﬂuctuations in multiplication and hence in excess noise.The use of heterojunctions in avalanche regions as a meansof reducing excess noise was ﬁrst proposed by Chin
Design and Development of Instrument for Measuring Torque and Shear Modulus for Material Research

An Instrument for measuring torque and shear modulus based on flat coil element for material research has been developed. Flat coil element was made from a thin epoxy with number of coils 30 and outer diameter of 3 cm. Working principle of the sensor is based on position change of a disturb element which attached to test shaft in front of the flat coil. The change of position will change the total inductance of the sensor system. The change of inductance is measured using LC oscillator by measuring its resonant frequency. An F/V converter converts the resonance frequency into voltage. The flat coil is used to measure the change of angle of the developed torque instrument. Using microcontroller ATMEGA16 the developed instrument can be controlled and work automatically. The developed instrument can measure torque and shear modulus with relative error less than 3%
A NEW PNEUMATIC CONTROL SYSTEM USING MULTIPLEX PNEUMATIC TRANSMISSION

The purpose of this research is simplifying and downsizing of pneumatic system consisting of many pneumatic actuators. For this purpose a new method of multiplex pneumatic transmission for multi-pneumatic servo system is proposed. The pneumatic valve for this system has a simple structure consisting of two vibrators supported by springs. The working principle of the valve is based on vibrator resonance caused by multiplex pneumatic vibration in air supply line and this makes the valve work as an ON/OFF valve without electric wire or independent pneumatic tubes. Valve control needs superimposed only an air supply tube for its independent control, making this pneumatic system suitable for the system having many degrees of freedom. Two prototype valves have been developed to confirm the basic function and adapted to the pneumatic system consisting of two pneumatic cylinders. The prototype valve has been designed based on the result of a dynamic simulation and it was confirmed by basic experiments. In the experiment, the independent control for two pneumatic cylinders with prototype valves has been successfully realized.
Cause Analysis and Countermeasures of Emulsified Explosive Misfire in Vertical Shaft Frozen Zone Excavation Blasting

Emulsion explosive have well frost resistance, it can be stably detonated at -300C. But there are many misfires occurred in blasting construction of shaft frozen zone. After analysis, the causes was water in the hole frozen and it’s volume increased, so explosive cartridge was pressed, it’s density enlarged, and misfire created when it’s density exceed critical density of stable detonation. Based on analysis, plastic tube casing charge adopted for construction, and prevent misfire effectively.
The Impact of Lymphedema Therapy on Quality of Life: A Case Report

Background and Purpose: Lymphedema is a chronic inflammatory lymphostatic disease known as the buildup of lymph fluid in the fatty tissues that can cause swelling and discomfort in the arms, legs, face, neck, trunk, abdomen, and genitals [1]. Failure of the lymphatic system causes lymphedema [1]. Lymphedema may reduce the quality of life and may progress as well as cause other complications such as cellulitis if untreated [1]. Although there is no cure for lymphedema, there are interventions to reduce or manage the swelling and the discomfort [1]. The purpose of this study is to show that a patient with lymphedema can improve their quality of life significantly with adequate lymphedema therapy interventions using Complete Decongestive Therapy (CDT). Method and Procedures: A 47-year-old African American female patient presented to outpatient physical therapy with a report of experiencing bilateral lower extremity swelling for about ten years. To determine the effects of the treatments, the lymphedema therapist examined the patient using the following tests and measures and outcome measurement tools: Bilateral Girth Measurements, the Lymphedema Life Impact Scale Version 2 (v2), and the Global Rating of Change (GRoC) Scale. The patient attended physical therapy sessions 2 times per week for 3 weeks not including the date of initial evaluation. Thus, the patient attended five treatment sessions. The patient actively participated in the creation of the current goal: to decrease bilateral lower extremity swelling. Results: On discharge assessment (6th visit), the patient reported a reduction in pain to (3/10). The patient scored a 12/68 on the Lymphedema Life Impact Scale (v2) indicating that her quality of life had improved significantly within the past three weeks since receiving lymphedema therapy services. The patient made excellent progress, demonstrated marked improvements with involved extremities lymphatic circulation, and decreased swelling with girth measurements. The patient reported significant improvements with functional activities of daily living such as standing, sitting to standing, and walking. The patient also reported that her quality of life improved significantly.