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2022 ◽  
Vol 12 (4) ◽  
pp. 854-861
Author(s):  
Jing Li ◽  
Bo Xie ◽  
Hu Wang ◽  
Chengsong Chen ◽  
Chengwu Pan ◽  
...  

Certain progress has been made in the therapeutic method against gastric cancer such as surgical operation combined with chemotherapy and radiation therapy in recent years. But the therapeutic efficacy and prognosis on gastric cancer was still not satisfactory. The function of exosome of miR-328–3p secreted by bone marrow stromal cells (BMSCs) on restraining the gastric cancer was studied in the present study. The BMSCs with highly-expressed miR-328-3p was established. The exosome in cell supernatant was collected. The exosome of BMSCs and MSCs with highlyexpressed miR-328-3p was added into SGC-7901 cells followed by analysis of miR-328-3p level by Real-time PCR and TFF3 (Trefoil Factor 3) level in exosome by Western blot, cell proliferation, expression of E-cadherin, Vimentin and Caspase-3. miR-328-39 expression was reduced and TFF3 was elevated in gastric cancer tissue (P < 0.05). miR-328-3p was upregulated and TFF3 was downregulated after addition of BMSCs exosomes along with increased cell proliferation and reduced E-cadherin and Caspase3 expression (P < 0.05). In conclusion, exosome of BMSCs could be regulated by miR-328-3p and TFF3 expression is restrained so as to regulate the biological behaviors of gastric cancer cell.


Author(s):  
Debesh Mishra ◽  
Hullash Chauhan ◽  
Dinesh Kumar Mishra ◽  
Suchismita Satapathy

COVID-19 has been primarily regarded as a respiratory disease, and until a safer and effective treatment or vaccine becomes available, the prevention of COVID-19 may continue through interventions based on non-pharmaceutical measures such as maintaining of physical distances and use of personal protective equipment like facemasks, etc. Therefore, an attempt was made in this study to explore the drawbacks with the presently available facemasks for protection from COVID-19 viruses in the state of Odisha in India, and also to explore the possible opportunities for further development of these facemasks. The associated discomforts; strength, weaknesses, opportunities, and threats (SWOT) analysis of existing facemasks in Odisha; possible opportunities for “Make in India” of these facemasks; along with safer use have been analyzed with the help of interpretive structural modelling (ISM) approach followed by MICMAC analysis.


2022 ◽  
Vol 25 (1) ◽  
pp. 1-28
Author(s):  
Le Qin ◽  
Fei Peng ◽  
Min Long ◽  
Raghavendra Ramachandra ◽  
Christoph Busch

As face presentation attacks (PAs) are realistic threats for unattended face verification systems, face presentation attack detection (PAD) has been intensively investigated in past years, and the recent advances in face PAD have significantly reduced the success rate of such attacks. In this article, an empirical study on a novel and effective face impostor PA is made. In the proposed PA, a facial artifact is created by using the most vulnerable facial components, which are optimally selected based on the vulnerability analysis of different facial components to impostor PAs. An attacker can launch a face PA by presenting a facial artifact on his or her own real face. With a collected PA database containing various types of artifacts and presentation attack instruments (PAIs), the experimental results and analysis show that the proposed PA poses a more serious threat to face verification and PAD systems compared with the print, replay, and mask PAs. Moreover, the generalization ability of the proposed PA and the vulnerability analysis with regard to commercial systems are also investigated by evaluating unknown face verification and real-world PAD systems. It provides a new paradigm for the study of face PAs.


2023 ◽  
Vol 55 (1) ◽  
pp. 1-39
Author(s):  
Thanh Tuan Nguyen ◽  
Thanh Phuong Nguyen

Representing dynamic textures (DTs) plays an important role in many real implementations in the computer vision community. Due to the turbulent and non-directional motions of DTs along with the negative impacts of different factors (e.g., environmental changes, noise, illumination, etc.), efficiently analyzing DTs has raised considerable challenges for the state-of-the-art approaches. For 20 years, many different techniques have been introduced to handle the above well-known issues for enhancing the performance. Those methods have shown valuable contributions, but the problems have been incompletely dealt with, particularly recognizing DTs on large-scale datasets. In this article, we present a comprehensive taxonomy of DT representation in order to purposefully give a thorough overview of the existing methods along with overall evaluations of their obtained performances. Accordingly, we arrange the methods into six canonical categories. Each of them is then taken in a brief presentation of its principal methodology stream and various related variants. The effectiveness levels of the state-of-the-art methods are then investigated and thoroughly discussed with respect to quantitative and qualitative evaluations in classifying DTs on benchmark datasets. Finally, we point out several potential applications and the remaining challenges that should be addressed in further directions. In comparison with two existing shallow DT surveys (i.e., the first one is out of date as it was made in 2005, while the newer one (published in 2016) is an inadequate overview), we believe that our proposed comprehensive taxonomy not only provides a better view of DT representation for the target readers but also stimulates future research activities.


2022 ◽  
pp. 187-202
Author(s):  
Angie Wickenden
Keyword(s):  

2022 ◽  
Vol 12 ◽  
Author(s):  
Tammam Abboud ◽  
Dorothee Mielke ◽  
Veit Rohde

Impedance measurement of human tissue can be performed either in vivo or ex vivo. The majority of the in-vivo approaches are non-invasive, and few are invasive. To date, there is no gold standard for impedance measurement of intracranial tissue. In addition, most of the techniques addressing this topic are still experimental and have not found their way into clinical practice. This review covers available impedance measurement approaches in the neuroscience in general and specifically addresses recent advances made in the application of impedance measurement in the field of surgical neurooncology. It will provide an understandable picture on impedance measurement and give an overview of limitations that currently hinders clinical application and require future technical and conceptual solutions.


2022 ◽  
Vol 6 (POPL) ◽  
pp. 1-31
Author(s):  
Marco Campion ◽  
Mila Dalla Preda ◽  
Roberto Giacobazzi

Imprecision is inherent in any decidable (sound) approximation of undecidable program properties. In abstract interpretation this corresponds to the release of false alarms, e.g., when it is used for program analysis and program verification. As all alarming systems, a program analysis tool is credible when few false alarms are reported. As a consequence, we have to live together with false alarms, but also we need methods to control them. As for all approximation methods, also for abstract interpretation we need to estimate the accumulated imprecision during program analysis. In this paper we introduce a theory for estimating the error propagation in abstract interpretation, and hence in program analysis. We enrich abstract domains with a weakening of a metric distance. This enriched structure keeps coherence between the standard partial order relating approximated objects by their relative precision and the effective error made in this approximation. An abstract interpretation is precise when it is complete. We introduce the notion of partial completeness as a weakening of precision. In partial completeness the abstract interpreter may produce a bounded number of false alarms. We prove the key recursive properties of the class of programs for which an abstract interpreter is partially complete with a given bound of imprecision. Then, we introduce a proof system for estimating an upper bound of the error accumulated by the abstract interpreter during program analysis. Our framework is general enough to be instantiated to most known metrics for abstract domains.


2022 ◽  
Author(s):  
Jose Luis Meseguer Valdenebro ◽  
Eusebio José Martínez Conesa ◽  
Antonio Portoles

Abstract The aim of this work is to carry out the design of experiments that determine the influence of the welding parameters using Taguchi’s method on the grain size, HAZ, and the degree of dilution in 6063-T5 alloy. The welding process used is GMAW and the welding parameters are power, welding speed and bevel spacing. The study of the influence of the welding parameters on the measurements made in the welding (which are the size of heat affected zone, the degree of dilution, and the grain size) allows one to determine the quality of the joint . In addition, the welding parameter most influential in minimising the three measurements will be determined.


2022 ◽  
Author(s):  
Camilla Mørk Røstvik ◽  
Bee Hughes ◽  
Catherine Spencer

Over the last decades, menstruation has become more present in public discourse in Scotland.While scholars are increasingly documenting this change, little attention has been paid to therole of menstrual art made in Scotland. In this article, we explore the historic contexts ofmenstrual art in the town of St Andrews and in Scotland during the late twentieth and earlytwenty-first century, and ask what this reveals about menstrual absence and presence in publicdebates. We do this in collaboration with artist Bee Hughes, whose practice focuses on thevisible and invisible aspects of menstruation, and who was artist in residence at St Andrews in2020. Due to a university strike and a pandemic, our collaboration changed and subsequentlyfocused more on the histories of menstrual art. We thus assess symbols and collections ofmenstrual visual culture in Scotland, including the use of the ceremonial red gown at theUniversity of St Andrews, and menstrual art collections at Glasgow Women’s Library and StAndrews Special Collections. Together, we reflect on how their histories might be both present(institutionalised) and absent (when not on display). This paper presents the first stage of ourfindings, in which the artist reflects on their first visit to St Andrews prior to a university strikeand the Covid-19 pandemic, and the historic materials we located [email protected]{font-family:"Cambria Math";panose-1:2 4 5 3 5 4 6 3 2 4;mso-font-charset:0;mso-generic-font-family:roman;mso-font-pitch:variable;mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face{font-family:Times;panose-1:0 0 0 0 0 0 0 0 0 0;mso-font-alt:﷽﷽﷽﷽﷽﷽﷽﷽man;mso-font-charset:0;mso-generic-font-family:auto;mso-font-pitch:variable;mso-font-signature:-536870145 1342185562 0 0 415 0;}p.MsoNormal, li.MsoNormal, 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2022 ◽  
Vol 9 (1) ◽  
pp. 51-58
Author(s):  
Gregory T. Papanikos

This paper evaluates the effects of the Olympic Games of 2004 hosted in Athens on Greece’s Gross Domestic Product (GDP), as estimated in Papanikos (1999). The estimates were made in 1997 for a period of fourteen years, 1998-2011, based on various scenarios. During this period two events have had a great impact on GDP that could have been predicted in 1997. Firstly, Greece adopted the euro in 2002, and even though this was pretty much a possibility in 1997, but not of course a certainty, the most important effect of the euro would have come from its exchange value vis-a-vis major currencies of countries with Greece was trading. This included tourism. Despite what many economists thought at the time, the introduction of the euro was not accompanied by a devaluation, but by unprecedented overvaluation. This had a negative impact on Greek GDP. Secondly, the Great Recession hit the Greek economy hard starting in 2008. These two effects had a negative impact on Greek GDP, wiping out the expected positive effects of the Olympic Games. Keywords: Olympic Games, GDP, Athens 2004, euro, great recession


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