Miracle-dz/UniFAR-FTUs huggingface dataset:
Inhibition of the proliferation, invasion, migration, and epithelial-mesenchymal transition of prostate cancer cells through the action of ATP1A2 on the TGF-β/Smad pathway

Background Prostate cancer (PC) is one of the major male malignancies worldwide. Because Na+-K+-ATPase is widely involved in various pathological processes, but the action of its α2 subtype (ATP1A2) in PC is unclear, we investigated the role of ATP1A2 in the invasion and migration of PC cells. Methods We measured the expression levels of ATP1A2 in human normal prostate epithelial cell line (RWPE-1) and PC cell lines (PC-3 and DU145) by quantitative real-time PCR (qRT-PCR) and western blot. Cell proliferation, apoptosis, migration, and invasion of PC-3 and DU145 cells were investigated through clone formation assay, EdU assay, flow cytometry and transwell assay, respectively. The effect of ATP1A2 on a tumor-inhibitory pathway [transforming growth factor-β (TGF-β)/Smad] was assessed using western blot. In addition, tumor formation was detected using in vivo xenograft model in male BALB/c nude mice. Results The Cancer Genome Atlas (TCGA) analysis showed that ATP1A2 expression was reduced in PC patients (P<0.05), and patients with low ATP1A2 expression had a lower survival rate (P<0.05). ATP1A2 levels were significantly reduced in PC-3 and DU145 cells, compared with RWPE-1 cells (P<0.01). We also demonstrated that overexpression of ATP1A2 significantly inhibited the proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT) of PC-3 and DU145 cells (P<0.01) and promoted apoptosis (P<0.01). However, silencing ATP1A2 had the opposite effect (P<0.01). In addition, overexpression of ATP1A2 significantly inhibited the TGF-β/Smad pathway (P<0.01), whereas silencing ATP1A2 activated the TGF-β/Smad pathway (P<0.01). Meanwhile, the effect of ATP1A2 silencing on the proliferation, apoptosis, migration and invasion was reversed by TGF-β/Smad pathway inhibitor (LY364947). Furthermore, ATP1A2 inhibited tumor growth in vivo. Conclusions ATP1A2 inhibited proliferation, apoptosis, migration, invasion, and EMT in PC by inhibiting the TGF-β/Smad pathway.
Fault diagnosis of speed control valve using AR bispectrum

A new method of diagnosing the fault of speed control valve using the higher-order spectrum is presented.The vibration signal of speed control valve is collected and used to set up time series model,and then AR bispectrum is put forward for signal analysis.Comparing the AR bispectrums from normal state and fault states,differences are quite apparent,which indicates that the higher-order spectrum analysis method is feasible and effective for the fault diagnosis of speed control valve.
IMPLEMENTATION OF FUZZY LEAST SQUARE SUPPORT VECTOR MACHINES FOR SIMULTANEOUS 12-LEAD QRS DETECTION

Electrocardiogram (ECG) is an important bioelectrical signal used to assess the cardiac state of a person. The QRS complexes are the dominant feature of the ECG. This paper presents an application of Fuzzy Least Square Support Vector Machines for the detection of QRS complexes in the 12 lead ECG.
Student Engagement in an Extensive Reading Activity : the Effect of Book Selection Methods on Student ’ s Interest , Enjoyment , and Success 沖 キャサリン 同志社女子大学・学芸学部・国際教養学科・助教(有期)

Extensive Reading (ER) has several recommended guidelines (e.g., Day & Bamford, 1997), including students choosing books by themselves, according to their level and interest. This study sought to understand how selection as individuals versus small groups could affect student engagement in ER activities, looking at the emotional engagement components of interest and enjoyment, and reported success at three stages of book selection, reading, and small group discussion. To explore whether there was an effect due to the way the books were selected, paired-sample t-tests were used on student self-report surveys, revealing significant differences when books were selected individually at the discussion stage for interest and enjoyment and at the reading stage for success. While these results are inconclusive due to the small sample size, the study can serve as a model for future studies with a larger sample. 63 同志社女子大学 総合文化研究所紀要 第38巻 2021年
Compiler and optimization level recognition using graph neural networks

We consider the problem of recovering the compiling chain used to generate a given bare binary code. We present a ﬁrst attempt to devise a Graph Neural Network framework to solve this problem, in order to take into account the shallow semantics pro-vided by the binary code’s structured control ﬂow graph (CFG). We introduce a Graph Neural Network, called Site Neural Network (SNN), dedicated to this problem. Feature extraction is simpliﬁed by forgetting almost everything in a CFG except trans-fer control instructions. While at an early stage, our experiments show that our method already recov-ers the compiler and the optimization level provenance with very high accuracy. We believe these are promising results that may offer new, more robust leads for compiling tool chain identiﬁcation.
ROLE OF DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE IMAGING IN DIFFERENTIATION OF SUPERFICIAL AND INVASIVE URINARY BLADDER CANCER

Background: Worldwide, bladder cancer is the ninth most common cancer, more common in men than women with high incidence in Egypt. In Egypt, bladder cancer has been the most common male cancer during the past 50 years and the 6th most common cancer in female after breast cancer, nonHodgkin lymphoma, ovarian cancer, leukemia and colorectal cancer. Accurate preoperative staging of bladder carcinoma is the most important factor in determining the appropriate management, because the therapeutic method chosen and prognosis depend on the distinguishing between superficial and invasive tumors. Objective: to evaluate the overall accuracy of dynamic gadolinium enhanced MRI in local staging of bladder cancer on a stage-by-stage basis and to determine the usefulness of MRI in determining superficial versus invasive disease, which is the main object of imaging of bladder cancer patients. Patients and methods: The study was conducted at MRI unit of radiology department, AlHussein University Hospital at the period from July 2019 to April 2021. During the study period a total number of 59 cases of histopathology proved urinary bladder cancer were referred from urology department of AlHussein University Hospital, for dynamic MRI scanning aiming for T-staging of bladder cancer. Results: 59 patients of included in this study, 54 males (91.5%) and 5 females (8.5%) with their age ranged from 43 to 76 years old. We evaluate the ability MRI to distinguish between the superficial (≤T1) and invasive (≥ T2a) tumors. On T2WI, 50 tumor were staged correctly, 5 were overstage, 4 were understage, sensitivity were 78.26%, specificity 88.89%, PPV 81.82% NPPV were 86.49% and accuracy were 84.75%. On dynamic gadolinium enhanced T1WI, 53 tumor were staged correctly (89.83%), 3 were overstaged (5.08%), 3 were understaged (5.08%), yielding an overall sensitivity were 78.26%, specificity 88.89%, PPV 81.82% , NPPV were 86.49% and accuracy were 89.83%. The overall accuracy of MRI to distinguish between the superficial (≤T1) and invasive (≥ T2a) tumors was 87.29 %. Conclusion: Dynamic contrast-enhanced MRI scanning is helpful in the differentiation between the superficial (≤T1) and invasive (≥ T2a) tumors of bladder .
Reaction of Glomus mosseae and Glomus intraradicea to different plantation cultures

A study with complete randomized design block and three replications was carried out in greenhouse condition to examine the effects of inoculation of mycorrhiza fungi (Glomus intraradicea) and (Glomus mosseae) on growth indices, chlorophyll content, carotenoid, and protein of parsley (Petroselinum crispum L.), dill (Anethum graveolens L.), and celery (Apium graveolens L). The study was conducted in different experimental plantation environments (soil, sand and hydroponic). The highest colonization was seen in celery (100%) in sand culture and the lowest colonization was observed in parsley (33%) in hydroponic culture. There was no significant differences between the two fungi in terms of colonization and its effect on plant growth. Based on the effects of symbiosis of sand culture plants, some of the plants were selected randomly and transferred to hydroponic culture. The first week in the hydroponic culture was featured with a decreased colonization, which had no negative effect on the plant’s growth. The traits under consideration were significant at probability level of 5%. The results showed that the effect of colonization on plants’ growth was a function of growth culture and the host plant.
Matrix Isolation FTIR and Theoretical Study of Weakly Bound Complexes of Isocyanic Acid with Nitrogen

Weak complexes of isocyanic acid (HNCO) with nitrogen were studied computationally employing MP2, B2PLYPD3 and B3LYPD3 methods and experimentally by FTIR matrix isolation technique. The results show that HNCO interacts specifically with N2. For the 1:1 stoichiometry, three stable minima were located on the potential energy surface. The most stable of them involves a weak, almost linear hydrogen bond from the NH group of the acid molecule to nitrogen molecule lone pair. Two other structures are bound by van der Waals interactions of N⋯N and C⋯N types. The 1:2 and 2:1 HNCO complexes with nitrogen were computationally tracked as well. Similar types of interactions as in the 1:1 complexes were found in the case of the higher stoichiometry complexes. Analysis of the HNCO/N2/Ar spectra after deposition indicates that the 1:1 hydrogen-bonded complex is prevalent in argon matrices with a small amount of the van der Waals structures also present. Upon annealing, complexes of the 1:2 and 2:1 stoichiometry were detected as well.
Superworms and Cryptovirology: a Deadly Combination

Understanding the possible extent of the future attacks is the key to successfully protecting against them. Designers of protection mechanisms need to keep in mind the potential ferocity and sophistication of viruses that are just around the corner. That is why we think that the potential destructive capabilities of fast spreading worms like the Warhol worm, Flash worm and Curious Yellow need to be explored to the maximum extent possible. While re-visiting some techniques of viruses from the past, we can come across some that utilize cryptographic tools in their malicious activity. That alarming property, combined with the speed of the so-called (cid:147)superworms(cid:148), is explored in the present work. Suggestions for countermeasures and future work are given.
A Microfabricated Bandpass Filter with Coarse-Tuning and Fine-Tuning Ability Based on IPD Process and PCB Artwork

In this paper, a bandpass filter (BPF) was developed utilizing GaAs-based integrated passive device technology which comprises an asymmetrical spiral inductor and an interleaved array capacitor, possessing two tuning modes: coarse-tuning and fine-tuning. By altering the number of layers and radius of the GaAs substrate metal spheres, capacitance variation from 0.071 to 0.106 pF for coarse-tuning, and of 0.0015 pF for fine-tuning, can be achieved. Five air bridges were employed in the asymmetrical spiral inductor to save space, contributing to a compact chip area of 0. 015λ0 × 0. 018λ0. The BPF chip was installed on the printed circuit board artwork with Au bonding wire and attached to a die sink. Measured results demonstrate an insertion loss of 0.38 dB and a return loss of 21.5 dB at the center frequency of 2.147 GHz. Furthermore, under coarse-tuning mode, variation in the center frequency from 1.956 to 2.147 GHz and transmission zero frequency from 4.721 to 5.225 GHz can be achieved. Under fine-tuning mode, the minimum tuning value and the average tuning value of the proposed BPF can be accurate to 1.0 MHz and 4.7 MHz for the center frequency and 1.0 MHz and 12.8 MHz for the transmission zero frequency, respectively.
Fuzzy Like Pid Controller Based on Sso Design for Congestion Avoidance in Internet Router

today The topic of contention is the quality of computer network service. Efficient data handling is important. Each router offers a buffer space where packets can be held before being sent until they are processed. The theory of packet congestion control is TCP (Transmission Control Protocol) . (AQM) is a mechanism proposed for gateways to improve congestion management. AQM (active queue management) is a crucial to minimize packet loss in TCP/IP networks and improving network efficiency. This paper offers a hybrid intelligent (PID) with type1 fuzzy logic controller which is designed to decrease network congestion. As a router (AQM), social spider optimization (SSO) is used to tune the control parameters used to reduce queue size error. The designed controller based on SSO algorithm provides a good tracking performance for AQM desired value.The observational findings indicated a high-performance increase in the proposed process. In MATLAB(R2020a), a simulation of a linearized TCP/AQM model is presented. NS2 is used to perform verification for the fuzzy logic controllers for the nonlinear TCP/AQM model under a more practical simulation and to analyze and examine network behavior in different scenarios. Index Terms—AQM controller, congestion control, fuzzy logic control, PID Controller; SSO.
Lecture 22: Multi-agent Collaboration and Competition

As humans, we are living in a big social environment. We communicate with others to exchange information. We also work with other people to finish tasks together. There are also competitions, especially when the resources are limited. Broadly speaking, multi-agent systems are everywhere, such as traffic control and autonomous vehicles, human/robot-robots interaction systems, games with multiple players, and marketing systems. So study multi-agent system is an important research problem. It can help us to understand the world better so that we can build a better future. Multi-agent has many connections with other research problems. Such as multi-agent collaboration and competition, security, self-Play, learning to communicate, transfer learning, imitation learning, inverse reinforcement learning, and meta-learning. This lecture will focus on multi-agent collaboration and competition.
SCALE: Causal Learning of Robot Manipulation Skills from Simulation

We present an approach for discovering and learning distinct types of robot skills for a given task based on the task parameters that are relevant to each skill. Our approach frames simulation as a causal inference engine, where interventions elicit the dependence between solving a manipulation task and context variables. Speciﬁcally, we learn Regional Causal Skills (RCS) which extends the robot skill framework by learning Data Generation Regions (DGR). A DGR is a region in the context space such that skills learnt in this region have the same set of relevant context variables. This set of relevant context variables parameterize the RCS and result from interventional queries of the simulator. Each skill can be viewed as a distinct behavior that can be executed by a given low-level robot controller. We demonstrate our approach for two representative manipulation tasks: block stacking and peg-in-hole insertion. Our experiments show that our approach yields diverse skills that are compact and suitable for sim-to-real transfer learning.
Calcium signals in the cell bodies of avian neurones

In this thesis I have looked at the spatial dynamics of calcium signals in nerve cell bodies. Through this simple second messenger, cells can activate a variety of pathways controlling their growth, secretion and even death. Which pathway is activated depends on the temporal and spatial dynamics of the intracellular calcium signal. I performed measurements on chick dorsal root ganglion neurones using a combination of whole-cell patch clamping and confocal microscopy. Following a 50 msec depolarisation of the neurone, a resulting calcium influx across the plasma membrane is seen to rapidly diffuse to the centre of the cell within 24 2 msec, contrary to previous studies on the diffusion limit of intracellular calcium. The results from these experiments were modelled as a three-dimensional spatial model, solved via finite volume methods within The Virtual Cell modelling environment. This has allowed me to simulate the intracellular calcium dynamics in an unperturbed cell without the inclusion of the calcium indicator dye to see if the inclusion of this additional calcium buffer was responsible for the observed fast diffusion. From this model I have shown that the experimental technique of including a calcium indicator dye in cells does not adversely affect the spatial and temporal properties of the calcium signal it is intended to observe. Furthermore, predictions made from the model have prompted me to look at role of mitochondria in intracellular calcium regulation, clearly demonstrating that significant levels of calcium are accumulated in these organelles following 50 msec depolarisations.
Language Related Episodes (LREs) in Task-based Language Teaching in Japan

This study attempted to examine task-based language teaching (TBLT) in the context of a Japanese junior high school, with the aim of isolating factors that contribute to its successful implementation. A process of action research was followed to complete a small-scale study. Six pairs of students were recorded completing a narrative construction task with differing set ups. Their interaction was transcribed and analysed and instances of learner-initiated focus on language were isolated. The Language Related Episodes (LREs) observed in each task set up were then compared. Overall findings suggested that there are several factors that should be included in task set ups to ensure that TBLT provides learners with opportunities to acquire language in EFL classes in a Japanese Junior high school. The implications for using TBLT in such a context are discussed, and suggestions given on potentially fruitful future research. Glossary of terms: EFL ― English as a Foreign Language ESL ― English as a Second Language LRE ― Language Related Episode MEXT ― Ministry of Education, Culture, Sports, Science and Technology (文部科学省, Monbu-kagaku-shō) NNS ― Non-Native Speaker NS ― Native Speaker PPP ― Present, Practice, Produce SLA ― Second Language Acquisition STEP ― The Society for Testing English Proficiency TBLT ― Task Based Language Teaching TOEFL ― Test of English as a Foreign Language TOEIC ― Test of English for International Communication 184 同志社女子大学 総合文化研究所紀要 第38巻 2021年
CONCEPT OF KEYWORD SEARCH: A REVIEW

: Keyword search is the technique use for the recovering data or information. In Information Retrieval, keyword search is a sort of search strategy that looks for coordinating documents which contain at least one keywords specified by a user. A keyword search scheme to relational database becomes an interesting region of research system inside the IR and relational database system. The assumption and investigation of user search goals can be extremely significant in enhancing search engine importance and user encounter. The user tries to search about any query on the web, Search engine gives many numbers of result identified with that query. These results can be rely on upon metadata or on full ordering, because of this, user need to spend a considerable measure of time in finding the information of his interest. Along these lines, in venture induced user search goals by investigating search engine query logs. System use a structure to discover distinctive user search goals for a query by clustering the propose input sessions.
Karstic groundwater origin and recharge process in Zagros region : H ) approach 2 O and δ 18 nsights from stable isotopes ( δi

Zagros is an important region with high quality and quantity karstic water resources in the Middle East. This region provides a dominant part of potable and agricultural water needs for its inhabitants as well as agricultural water needs for nearby regions. Therefore, studying karstic water resources in Zagros by accurate methods such as stable isotopes techniques is very important. In this investigation, hydrological characteristics of groundwater resources including groundwater origin, recharge rate and recharge elevation have been studied using stable isotopes (O and H). The results show that stable isotopes signatures in groundwater resources show notable variations across Zagros and groundwater resource mainly plot on south and west Zagros meteoric water lines. In addition, recharge elevation and recharge rate in groundwater resources also show significant variations in Zagros. Finally, the stable isotopes signatures in precipitation and groundwater has been used to study the role of each dominant air mass (contribution percentage of precipitation events originate from each air mass) in groundwater resources recharge using Simmr package in R language. Overall, groundwater resources in Zagros is recharged by precipitation events originate from various air masses and they have various recharge rates and recharge elevations.
TO INVESTIGATE THE FEATURE SELECTION METHOD TO IMPROVE THE PERFORMANCE OF THE CLASSIFIER USING SENTIMENT CLASSIFIER

: Sentiment analysis deals with the processing of opinion text to extract and categorize opinions from the documents. The sentiment is expressed in terms of positive or negative opinion. The information technology field have entered our lives and it is impossible to imagine without Internet. To ensure efficient classification, it is important to implement an algorithm that performs well in featre selection. Therefore, the main goal of the research study is to investigate algorithms that can be applied to opinion estimation. To that extent, data preprocessing and multiple experiments are performed. The classifier is trained and tested on two different datasets with two different classifiers. The impact of training data on classifier efficiency is measured and found better outcome as compared the earlier study of sentiment classifier.
Effects of Combined Schema Therapy, Compassion-Focused Therapy, and Dialectical Behavior Therapy on Married Women's Life Expectancy

Author Address 1. PhD Student in General Psychology, Department of Psychology, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran; 2. Associate Professor, Department of Psychology, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran; 3. Assistant Professor, Department of Psychology, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran. * Corresponding author's email: J.khalatbari@toniau.ac. ir
NOVAL ALGORITHM TO IMPLEMENT POLLUTION CONTROL AND FINE USING NUMBER PLATE DETECTION

: Rules are always very difficult to implement and more difficult is its fairer implementation. In our proposed thesis we have suggested an innovative approach which not only ease and speed up the process of Pollution and Vehicle Restriction process but also helps in its proper implementation. We our proposed work have used the Camera for capturing the number plate and connecting the system with the RTO simulated database and pollution control database we have suggested the system for fairer fine implementation with lesser human involvement.