Miracle-dz/UniFAR-FTUs huggingface dataset:
The Correlation between CD 44 and ABCG 2 Expression and Pathological Grades of Bladder Cancer

Background: The human bladder cancer progression is accompanied by the growth of side-populations of cancer stem cells (CSCs). The expression of ABCG2 and CD44, as the CSC markers, may be associated with different pathological grades of bladder cancer. This study was designed to identify the changes occurring in ABCG2 and CD44 in different types of bladder tumors at various grades. Methods: The sample included 67 patients with bladder cancer (63 males; 4 females) with a diagnosis of transitional cell carcinoma (urothelial cancer) using cystoscopy. Based on the tumor pathological grade, we divided the tumor biopsies into two low-grade (N=20) and high-grade (N=21) groups. The tumor samples along with 26 normallooking bladder tissues were analyzed by techniques like immunohistochemistry (IHC) and total RNA extraction for qPCR. Results: Based on the results obtained by IHC analysis of ABCG2 and CD44 protein in bladder lowand high-grade tumors, these CSC markers showed significant elevation in malignant tissues in comparison to the normal bladder tissues. The scoring of ABCG2 expression in normal, low-grade and high-grade tissues was 28, 120, and 140 respectively. The CD44 scores in the normal bladder, lowgrade and high-grade tissues were found to be 0.6, 11.5, and 29.0, respectively. The IHC data showed inconsistency with the qPCR data, suggesting an overexpression of ABCG2 (4-6.5 folds) and CD44 (15-22 folds) in the low and high-grade tumors in comparison to the normal bladder tissue. Conclusions: Finding a good relationship between ABCG2 and CD44 markers and different grades of bladder cancer demonstrated that these markers can be seen as potential and predictive indicators of bladder malignancy.
ICNSCET 19-International Conference on New Scientific Creations in Engineering and Technology VIRTUAL REALITY ( HOLOGRAM ) BASED FOOD SUPPLY SYSTEM

Virtual Reality is seen as the high-end of human-computer interactions and it has the potential to target a wide range of applications . To improve the standardization and automation of disaster operation management, a new method of emergency management based on the activity network technology is presented. Firstly, the emergency plan is built upon emergency response activities by using the activity network technology.While a virtual trajectory may be represented using straight lines connecting waypoints of interest, this simple model does not accurately represent typical user behavior. We implemented the model within a framework that can be used for redirect food distribution within different virtual and physical environments. It is useful for the evaluation of redirected of parameters under varying conditions. The characteristics of each operation mode are analyzed, which provides an important reference for the researchers of the operation and management of the process food supply chain. In this project, virtual reality is projected from helicopter or far distance. The projected image with listed basic needs like food ,water, medicine.the person needs medicine need to stand on that projected medicine image then the dispatch section will distribute medicine for them.
Convolutional Neural Network for Facial Expression Recognition

In this project, we developed Convolutional Neural Networks (CNN) for a facial expression recognition task. Our goal is to classify each facial image into one of the seven facial emotion categories. Different depth structures of CNN models are trained using gray-scale images from the Kaggle facial expression challenge [1]. To reduce over-fitting, we utilized different techniques including dropout and L2 regularization.
COHERENCE VS DISTANCE AT THE GARNER VALLEY AND WILDLIFE NEES @ UCSB FIELD SITES : A COMPARISON USING ACTIVE SOURCE

Mobile shakers provide an active way to excite wave at various frequencies through the top layers of a site for characterization purposes. A temporary linear surface array of eight accelerometers at 10 meter spacing was deployed for a mobile shaker experiment at the Garner Valley Downhole Array (GVDA) and Wildlife Liquefaction Array (WLA) seismic stations, which are part of the George E. Brown Jr., Network for Earthquake Engineering Simulation (NEES) program. The mobile shaker “T-Rex”, also part of the NEES program, was positioned at three locations around the linear array and produced both Ricker and steady pulses at frequencies ranging between 3 Hz to 16 Hz in the vertical, lateral, and transverse directions. In addition to the site instrumentation and temporary accelerometer array, data channels on the mobile shaker provided the input drive signal, plate acceleration, and calculated output force acceleration for each shake. The observed attenuation of waves across the arrays suggests that energy across the sites has a directional dependence. Spectral energy and coherence analysis of the observed waveforms from the linear arrays at both sites provides information on the coupling efficiency between the shaker truck at each site. The analysis of spectral energy across the array for each input frequency shaker force suggest that the mobile shaker couples well at 12 Hz and above at GVDA and at 8Hz and above at WLA. These results suggest that the ability of a mobile shaker to effectively transfer energy to the earth is at least in part dependent on site characteristics.
Optimal Monetary Policy with Durable and NonDurable Goods

The durable goods sector is much more interest sensitive than the nondurables sector, and these sectoral differences have important implications for monetary policy. In this paper, we perform VAR analysis of quarterly US data and find that a monetary policy innovation has a peak impact on durable expenditures that is roughly five times as large as its impact on non-durable expenditures. We then proceed to formulate and calibrate a two-sector dynamic general equilibrium model that roughly matches the impulse response functions of the data. We derive the social welfare function and show that the optimal monetary policy rule responds to sector-specific inflation rates and output gaps. We show that some commonlyprescribed policy rules perform poorly in terms of social welfare, especially rules that put a higher weight on inflation stabilization than on output gap stabilization. By contrast, it is interesting that certain rules that react only to aggregate variables, including aggregate output gap targeting and rules that respond to a weighted average of price and wage inflation, may yield a welfare level close to the optimum given a typical distribution of shocks. JEL classification: E31; E32; E52.
16 Mechanism of Cargo Recognition During Selective Autophagy

Autophagy is an intracellular bulk degradation system conserved among eukaryotes from yeast to mammals. It is responsible for the degradation of cytosolic components and organelles in response to nutrient deprivation. There are three main types of autophagy: macroautophagy, microautophagy and chaperone-mediated autophagy (CMA). Microautophagy sequesters cytoplasmic components and delivers them for degradation by direct invagination or protrusion/septation of the lysosomal or vacuolar membrane (Mijaljica et al., 2011; Uttenweiler and Mayer, 2008). CMA targets specific cytosolic proteins that are trapped by the heat shock cognate protein of 70 kDa (hsc70) and, through interaction with lysosome-associated membrane protein type 2A (LAMP-2A), they are then translocated into the lysosomal lumen for rapid degradation (Orenstein and Cuervo, 2010). Macroautophagy, hereafter referred to as autophagy, is the most well characterized process of the three. During autophagy, double membrane structures called autophagosomes sequester a portion of the cytoplasm and fuse with the lysosome (or vacuole in the case of yeast and plants) to deliver their inner contents into the organelle lumen (Mizushima, 2007; Mizushima et al., 2010). Analyses of autophagy-related (Atg) proteins have unveiled dynamic and diverse aspects of mechanisms that underlie membrane formation during autophagy (Mizushima et al., 2010; Nakatogawa et al., 2009). As the contents of autophagosomes are indistinguishable from their surrounding cytoplasm (Baba et al., 1994), autophagy has long been considered a nonselective catabolic pathway. Recent studies, however, have provided evidence for the selective degradation of various targets by autophagy. In autophagy-deficient neuronal cells, intracellular protein aggregates accumulate and eventually lead to neurodegeneration, suggesting that autophagy selectively degrades harmful protein aggregates (Hara et al., 2006; Komatsu et al., 2006). Damaged or superfluous organelles, such as mitochondria and peroxisomes, and even intracellular infectious pathogens are also selectively degraded by autophagy (Goldman et al., 2010; Gutierrez et al., 2004; Manjithaya et al., 2010; Nakagawa et al., 2004; Noda and Yoshimori, 2009). In the budding yeast Saccharomyces cerevisiae, ┙mannosidase and aminopeptidase I are selectively transported to the vacuole through autophagic pathways (Baba et al., 1997; Hutchins and Klionsky, 2001).
Title Economic Consequences of Cooling Water Insufficiency in theThermal Power Sector under Climate Change Scenarios

Currently, thermal power is the largest source of power in the world. Although the impacts of climate change on cooling water sufficiency in thermal power plants have been extensively assessed globally and regionally, their economic consequences have seldom been evaluated. In this study, the Asia-Pacific Integrated Model Computable General Equilibrium model (AIM/CGE) was used to evaluate the economic consequences of projected future cooling water insufficiency on a global basis, which was simulated using the H08 global hydrological model. This approach enabled us to investigate how the physical impacts of climate change on thermal power generation influence economic activities in regions and industrial sectors. To account for the uncertainty of climate change projections, five global climate models and two representative concentration pathways (RCPs 2.6 and 8.5) were used. The ensemble-mean results showed that the global gross domestic product (GDP) loss in 2070–2095 due to cooling water insufficiency in the thermal power sector was −0.21% (−0.12%) in RCP8.5 (RCP2.6). Among the five regions, the largest GDP loss of −0.57% (−0.27%) was observed in the Middle East and Africa. Medium-scale losses of −0.18% (−0.12%) and −0.14% (−0.12%) were found in OECD90 (the member countries of the Organization for Economic Co-operation and Development as of 1990) and Eastern Europe and the Former Soviet Union, respectively. The smallest losses of −0.05% (−0.06%) and −0.09% (−0.08%) were found in Latin America and Asia, respectively. The economic impact of cooling water insufficiency was non-negligible and should be considered as one of the threats induced by climate change.
WP / 18 / 227 The Cost and Benefits of Tax Treaties with Investment Hubs : Findings from Sub-Saharan Africa

This paper investigates the costs and benefits of concluding double tax treaties with investment hubs. Based on a sample of 41 African economies from 1985–2015, the results suggest that signing treaties with investment hubs is not associated with additional investments; yet, these treaties tend to come with nonnegligible revenue losses. Building on a theoretical model, the paper investigates the role of treaty shopping in driving nominal investment flows and provides indirect evidence for its importance in the sample JEL Classification Numbers: F21, F23, H25, H26, H32
Towards liver shear wave vibro-elastography : method repeatability and image registration technique

Liver fibrosis is a largely prevalent concern in Canada and world-wide, due to high rates of Hepatitis, fatty liver disease, alcoholism, as well as several other possible causes. It is currently diagnosed and staged by performing biopsies or by tissue elasticity measurements referred to as elastography. Elastography methods are a relatively new means of measuring the mechanical properties of soft tissue non-invasively by measuring and processing the propagation of shear waves through the body. The Robotics and Control Laboratory at the University of British Columbia has developed an elastography technique, Vibro-elastography, that can quantitatively measure soft tissue stiffness in real time. It has previously been applied to prostate and breast pathologies. It is now being developed and optimized for liver applications. To validate Vibro-elastography as a new diagnostic tool, a comparison study should be performed on a clinical population. This work sets out to lay out the prerequisites needed to implement a full clinical study. It starts out with a repeatability study using a tissue phantom to ensure repeatable results and compare our results to manufacturer stiffness values. In this work, we compare the precision of several different implementations of Vibro-elastography including the placement of the excitation source, data acquisition techniques and single versus multi-frequency excitation. Most of the implementations resulted in good, repeatible results, regardless of exciter placement. The quality of wave propagation deteriorated with depth as expected, but elasticity results remained repeatable even at deeper regions of interest. The parameters are selected and designed for the use on the liver. Finally, a registration pipeline and initial case trial has been presented as a suggested means of comparing the elastography data obtained using Vibro-elastography and any elastography measures that can be obtained from a magnetic resonance system. Using manual fiducial vessel markers and applying an Iterative Closest Point registration process results in a quick alignment of the ultrasound and MRI volumes with registration error less than 20 mm.
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In recent years, spectral clustering methods are getting more and more attention in many fields of investigation for analysis and classification tasks. Nevertheless, no applications to symbolic music have been provided yet. Here we present a method for motif classification based on spectral clustering of music scores that can be exploited, for instance, in automatic or computer-assisted music analysis. Scores are represented through a network-graph of segments and then ranked depending on their centrality within the network itself, which can be measured through the components of the leading eigenvector associated to the Laplacian of the graph. Moreover, segments with higher centrality are more likely to be relevant for music summarization. An experimental musicological analysis has been performed on J.S. Bach’s 2-part Inventions to prove the effectiveness of the method.
Kontext : The Students ’ View on its Adaption in Spain and Argentina — Two Case Studies

One of the main problems in science education nowadays, and especially in chemical education, is that the students usually cannot perceive the relevance of what they learn in their classes. There have been some efforts to improve the student interest and motivation without diminishing the understanding of the chemistry concepts. The context-based methodologies allow the students to see the relevance and applicability of what they learn in the chemistry classes, connecting the canonical science with their lives, interests and previous knowledge. One of these methodologies, Chemie im Kontext (Chemistry in Context in German), was developed in Germany to improve chemistry teaching in secondary education. Its main features include the use of contexts throughout the whole teaching unit and the effort to foster student self-learning. At present, there is an ongoing project, supported by the German Academic Exchange Service (DAAD), to assess the use of a German context-based methodology, Chemie im Kontext (ChiK in the following) in four secondary schools in the Madrid region (Spain). Based on a collaboration with the University of Buenos Aires (Argentina) this case study has been accompanied by a second one carried out in Buenos Aires during 2015 and 2016. The main goal of this project is to identify which changes students and teachers perceive when comparing a ChiK teaching unit to the traditional teaching approach. This article focuses on the students’ opinions concerning the use of a ChiK methodology in chemistry classes in Spain and Argentina and therefore allows a first insight into possible effects of this teaching approach.
Understanding the Usage of MPI in Exascale Proxy Applications

The Exascale Computing Project (ECP) focuses on the development of future exascale-capable applications. Most ECP applications use the Message Passing Interface (MPI) as their parallel programming model and create mini-apps to serve as proxies. This paper explores the explicit usage of MPI in ECP proxy applications. For our study, we empirically analyze fourteen proxy applications from the ECP Proxy Apps Suite. Our result shows that a small subset of features from MPI is commonly used in the proxies of exascale capable applications, even when they reference third-party libraries. Our study contributes to a better understanding of the use of MPI in current exascale applications. This finding can help focus software investments made for exascale systems in the MPI middleware including optimization, fault-tolerance, tuning, and hardware-offload.
Average intensity of a partially coherent anomalous hollow beam propagating in underwater oceanic turbulence

Based on the extended Huygens–Fresnel principle, the cross-spectral density function of a partially coherent anomalous hollow beam (AHB) propagating in underwater oceanic turbulence has been derived. The average intensity of partially coherent AHB propagating in underwater oceanic turbulence has been calculated. The influences of coherence length and the strength of underwater oceanic turbulence on the spreading properties of partially coherent AHB are illustrated and analyzed using numerical examples. It is found that the partially coherent AHB with smaller coherence length and the partially coherent AHB propagating in stronger underwater oceanic turbulence will lose the initial beam profile and evolve into the Gaussian beam faster. The results are useful in applications for underwater wireless optical communication.
Title : The mutant p 53-ID 4 complex controls VEGFA isoforms production by recruiting lncRNA MALAT 1

1. Department of Molecular Biology, International Institute of Molecular and Cell Biology in Warsaw, 02-109 Warsaw, Poland 2. Institute of Biochemistry and Biophysics, PAS, 02-106 Warsaw, Poland 3. Oncogenomic and Epigenetic Unit, Italian National Cancer Institute “Regina Elena”, 00144 Rome, Italy 4. Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, 41125 Modena, Italy 5. Centre for Life Nano Science, Istituto Italiano di Tecnologia, 00161, Rome, Italy 6. Department of Anatomical, Histological, Forensic & Orthopedic Sciences, Section of Histology & Medical Embryology, Sapienza University of Rome, 00161 Rome, Italy 7. Cancer Biology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Queen's Medical Centre, Nottingham NG2 7UH, UK
HEALING AND PSYCHOTHERAPY MODEL THROUGH THE EMOTIONAL-SPIRITUAL POWER : A CASE STUDY OF PRISONERS IN SEMARANG

Stress and depression are two common problems experienced by prisoners. These two problems are even able to lead to new problems, such as a fight between prisoners, drug trafficking, sexual abuse, and suicide. A new approach addressing those problems is required, one of which is through the development of emotional and spiritual awareness. Using mix-method and quasi-experimental design, this study focuses on how to increase emotional and spiritual awareness of the prisoners in Semarang who have joined a healing and psychotherapy program named Emotional-Spiritual Power (ESP). Through experimental analysis with Ttes and descriptive analysis, the study found that the ESP program is influential in enhancing the prisoner’s emotional and spiritual awareness significantly. The program helps them transform into a new person with positive energy in the mind, heart, and behavior. This way, all the internal problems that reside within the prisoners, such as stress and depression, can be cured. Stres dan depresi seringkali dialami oleh narapidana, sehingga banyak terjadi perkelahian antar narapidana, pengedaran narkoba, pelecehan seksual, dan juga bunuh diri. Diperlukan model-model baru dalam menangani masalah ini, salah satunya dengan pengembangan kesadaran emosi dan spiritual. Dengan menggunakan mix-method dan quasi experimental design, penelitian ini Corresponding author; email: 1taufiqhidayatlp@gmail.com.
Detecting malfunction in wireless sensor networks

DETECTING MALFUNCTION IN WIRELESS SENSOR NETWORKS by Pablito C. Lake The objective of this thesis is to detect malfunctioning sensors in wireless sensor networks. The ability to detect abnormality is critical to the security of any sensor network. However, the ability to detect a faulty wireless sensor is not trivial. Controlled repeatable experiments are difficult in wireless channels. A Redhat Linux 7.0 Wireless Emulation Dynamic Switch software was used to solve this problem. Six nodes were configured with a node acting as a base station. The nodes were all part of a cell. This means that every node could communicate with all other nodes. A client-server program simulated the background traffic. Another program simulated a faulty node. A node was isolated as the faulty node while all other nodes were good. The experiment ran for several hours and the data was captured with tcpdump. The data was analyzed to conclusions based on a statistical comparison of good node versus bad node. The statistical delay on the good node was an average of 0.69 ms while the standard deviation was 0.49. This was much better than the delay on the bad node that was 0.225192 s with a standard deviation of 0.89. This huge difference in the delay indicated that the faulty node was detected statistically. A threshold value of 1 ms was chosen. The good node was within this value about 98 % of the time. The bad node on the other hand was far out of this range and was definitely detected. The channel utilization data provided the same conclusion. DETECTING MALFUNCTION IN WIRELESS SENSOR NETWORKS
Materials for SOFC

Solid Oxide Fuel Cell (SOFC) is one type of high temperature fuel cell that appears to be one of the most promising technology to provide the efficient and clean energy production for wide range of applications (from small units to large scale power plants). This paper reviews the current status and related researches on SOFC technologies. In details, the research trend for the development of SOFC components (i.e. anode, electrolyte, cathode, and interconnect) are presented. Later, the current important designs of SOFC (i.e. Seal-less Tubular Design, Segmented Cell in Series Design, Monolithic Design and Flat Plate Design) are exampled. In addition, the possible operations of SOFC (i.e. external reforming, indirect internal reforming, and direct internal reforming) are discussed. Lastly, the research studies on applications of SOFCs with co-generation (i.e. SOFC with Combined Heat and Power (SOFC-CHP), SOFC with Gas Turbine (SOFC-GT)) and SOFC with chemical production) are given.