Miracle-dz/UniFAR-FTUs huggingface dataset:
Abstract 4360: Altering the regulation of KRAS GTPase cycle via Src and SHP2 creates a potential therapeutic vulnerability for pancreatic cancer

More than 30% of all human cancers have Ras mutations and more than 95% of pancreatic cancers harbor KRAS mutations. However, therapeutically targeting cancers driven by oncogenic Ras mutations is still an ongoing investigation. KRas is a small GTPase found in either a GDP-bound inactive form or a GTP-loaded activated form. The activated form of KRas localizes on the membrane where it binds and activates downstream effector proteins such as Raf kinases. GDP-bound Ras can be activated by nucleotide exchange of GTP for GDP, a reaction that is catalyzed by guanine nucleotide exchange factors (GEFs). Ras is inactivated by hydrolysis of GTP, which is assisted by GTPase activating proteins (GAPs). It was recently reported that Ras can be tyrosyl phosphorylated by Src and dephosphorylated by SHP2 (PNAS 2014;111(36):E3785-94; Nat Commun 2015;6:8859). Here we have characterized the structural and functional alterations of Src-phosphorylated KRas to mechanistically explain the impact of tyrosyl phosphorylation on the GTPase cycle. Our NMR and MS analyses show that Src phosphorylates KRas at Tyr32 and Tyr64, which perturbs the chemical shifts of several residues in each of the two "switch" regions that mediate interactions with effectors and regulators. Using real-time NMR and biolayer interferometry (Octet) assays, we demonstrated the negative impact of KRas phosphorylation on the GTPase cycle as well as BRAF binding. Conversely, the SH2 domain containing inositol 5-phosphatase 2 (SHP2) dephosphorylates KRAS and reverses Src-induced phosphorylation. In vivo, either the pharmacologic inhibition or genetic ablation of SHP2 promotes cell death in several KRAS mutant cancers. Our findings reveal that altering the KRas GTPase cycle regulation via the balance of Src and SHIP2 activities may create a therapeutic vulnerability for pancreatic cancer. Citation Format: Teklab Gebregiworgis, Christopher B. Marshall, Yoshihito Kano, Nikolina Radulovich, Ming-Sound Tsao, Michael Ohh, Mitsuhiko Ikura. Altering the regulation of KRAS GTPase cycle via Src and SHP2 creates a potential therapeutic vulnerability for pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4360.
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches

Recent advances in machine learning and computer graphics have made it easier to convincingly manipulate video and audio. These so-called deep-fake videos range from complete full-face synthesis and replacement (face-swap), to complete mouth and audio synthesis and replacement (lip-sync), and partial word-based audio and mouth synthesis and replacement. Detection of deep fakes with only a small spatial and temporal manipulation is particularly challenging. We describe a technique to detect such manipulated videos by exploiting the fact that the dynamics of the mouth shape – visemes – are occasionally inconsistent with a spoken phoneme. We focus on the visemes associated with words having the sound M (mama), B (baba), or P (papa) in which the mouth must completely close in order to pronounce these phonemes. We observe that this is not the case in many deep-fake videos. Such phoneme-viseme mismatches can, therefore, be used to detect even spatially small and temporally localized manipulations. We demonstrate the efficacy and robustness of this approach to detect different types of deep-fake videos, including in-the-wild deep fakes.
Predicting Social Network Check-in Locations: Noise Impact Reduction for Classiﬁcation

—Since 2010, Facebook has entered the self-reported positioning world by providing the check-in service. This service allows users to share their physical location. Over the years, big datasets of recorded check-ins have been collected with increasing popularity of social networks. Analyzing the check-in datasets reveals valuable information and patterns in users’ check-in behavior as well as places’ check-in history. In this work, we intend to create a prediction model to predict the next check-in place only based on places history and with no reference to individual users. To this end, we learned that the check-in data has a high level of noise in location coordinates. The main research objective of this work is how to leverage a noise impact reduction technique to enhance performance of prediction model. We designed and developed our own noise handling mechanism to deal with feature noise. This work represents how the performance of predictors is enhanced by minimizing noise impacts.
Comparative Study of the Physical Properties of Some Brands of Portland Cement Available in the Libyan Market

The quality of cement is one of the important factors which materially contribute to the strength and durability of structural concrete. Different brands of Portland cement are used in Libya by local contractors for various construction work. However, no comparative study has been made undertaken hitherto to investigate the mechanical and physical properties of the various brands of cement. This study investigates the fineness, soundness, setting time and compressive strength of Libyan cement manufactured by the national Libda, Al-Koms, Al-mergeb and Al- borg plants and also some imported cements sold in the Libyan market. All brands of cement tested have normal and acceptable consistencies. The soundness values for all the brands tested fall below the maximum allowable value of 10 mm. Fineness values for all the brands tested fall within the standard specification limit (2500 cm2 /g <). Based on the results of compressive strengths alone , all the cements could be acceptable for normal construction work.
A Study of Relation of Hba1c to Left Ventricular Diastolic Dysfunction in Patients with Type 2 Diabetes Mellitus and Without Overt Heart Disease

Introduction:Diabetes is usually irreversible and, although patients can have a reasonablynormal lifestyle, its late complications result in reduced life expectancy and majorhealth costs. Material & Methods:This was a prospective study done among all the patients with Type-2 Diabetes Mellitus individuals selectedfrom GENERAL MEDICINE outpatient and in-patient department in the Government General Hospital, Guntur.They were divided into two groups according to the Glycemic status one groupconsisted of HbA1C levels < 7, and the other group consisted of HbA1C levels > 7.All of them were subjectedto echocardiography. Results: In the present study, most of the participants belonged to >50 years age group. Out of the 50 participants in the study, 26 (52%) were male and 24(48%) werefemale. 14 participants out of 25 in group 1 were observed to have LV diastolic dysfunction. Out of which 11 (44%) were having grade 1 LVDD and 3(12%) were having grade 2 LVDD. 11 (44%) participants whose HBA1C was <7 were not diagnosed to have a LVDD.21 participants out of 25 in group 2 were observed to have LV diastolic dysfunction. Out of which 13 (52%) were having grade 1 LVDD and 8(32%) were having grade 2 LVDD. 4 (16%) participants whose HBA1C was >7 were not diagnosed to have a LVDD.Conclusions: In patients with type 2 diabetes without clinical evidence of heart disease and HbA1c >7, there was a diastolic dysfunction with higher trans mitral A/E ratio, more prolonged isovolumic relaxation time in comparison with patients with type 2 diabetes without clinical evidence of heart disease and hemoglobin A1C<7 subjects.
Role of the Injection Water Microorganisms on Corrosion of Fiberglass in TFT Algerian Oil Fields

The most severe corrosion due to bacterial activity in pipe steel for the transportation of water and the injection systems is influenced by sulphate reducing bacteria (SRB), thiosulphate reducing bacteria (TRB) and others microorganisms. In the aim to reduce the impact of bacterial corrosion, steel pipes were substituted by fiberglass pipes. These types of materials are very resistant to corrosion and the life of use was prolonged. Fiberglass pipes are used for the water transportation that be used for the water flooding systems in the oil fields and fire systems. During the opening of a section of the fiberglass line, the scale found inside this line, produced a smoke that was followed by a fire that provoked the inflammation of the fiberglass. Also, the aim is to understand the phenomena and a suspicion of the role of some bacteria in this phenomenon. The identified bacteria in all the samples show the presence of sulfate-reducing bacteria, methanogenic bacteria and fermentative bacteria. We think that by synergic effect, the growth of these microorganisms transform heavy organic molecule to methane and others chemicals species. The methane is gas and under the effect of the sun may start fire. Keywords— corrosion, Fiberglass pipes, biofilms, methanogens, sulfate reducers bacteria)
Detection of Chronic Kidney Disease at Early Stage Prevents Kidney and Heart Failure

The early detection of chronic kidney disease can prevent damage of kidney as well as myocardial infarction. There are several report which confirm the inter relationship between kidney failure and heart attack. The present paper describes a crucial relationship between kidney glomerular filtration rate and cardiovascular disease risk factors. There are several reported markers and methods for detection of kidney failure are available but all these methods still have some limitations. Biosensors are emerging technology which can predict damage at early stage using electrochemical aptamer technique in which protein binds with specific marker and resulting signals are electrochemically detected as changes in current with respect to control.
Comparison between Two Hardware Implementations of a Formal Neuron on FPGA Platform

— The formal neuron is equivalent to a simple processor that performs a series of mathematical operations more or less complex on real data. The chosen representation to encode these data is the 32 bits floating point representation; this makes possible to achieve satisfactory precision in calculation. This paper presents a hardware comparison between two formal neurons, one is associated with the sigmoid activation function and the other to the gaussian activation function. This comparison is designed firstly to compare the hardware results obtained respectively from these two implementations with software results, and secondly, to make comparison between the two hardware implementations in terms of the consumed material resources and execution time. These neurons are implemented by using a number of specific blocks called megafunction, on an FPGA platform of Altera DE2-70 which offers several advantages, including flexibility, efficiency and speed.
RSC: Mining and Modeling Temporal Activity in Social Media

Can we identify patterns of temporal activities caused by human communications in social media? Is it possible to model these patterns and tell if a user is a human or a bot based only on the timing of their postings? Social media services allow users to make postings, generating large datasets of human activity time-stamps. In this paper we analyze time-stamp data from social media services and find that the distribution of postings inter-arrival times (IAT) is characterized by four patterns: (i) positive correlation between consecutive IATs, (ii) heavy tails, (iii) periodic spikes and (iv) bimodal distribution. Based on our findings, we propose Rest-Sleep-and-Comment (RSC), a generative model that is able to match all four discovered patterns. We demonstrate the utility of RSC by showing that it can accurately fit real time-stamp data from Reddit and Twitter. We also show that RSC can be used to spot outliers and detect users with non-human behavior, such as bots. We validate RSC using real data consisting of over 35 million postings from Twitter and Reddit. RSC consistently provides a better fit to real data and clearly outperform existing models for human dynamics. RSC was also able to detect bots with a precision higher than 94%.
DETERMINING POST-WEANING FEED EFFICIENCY IN BEEF CATTLE

Feed efficiency can be described as the efficiency of use of the energy consumed from the ration fed for maintenance and growth. Selection procedures are needed that result in identifying animals with improved efficiency of use of absorbed (metabolizable) energy for maintenance and growth without altering body weight at the target chemical composition. However, it is not practical to determine feed metabolizable and net energy values for maintenance and growth for individual animals on farms. Therefore indirect measures must be used to estimate energetic efficiency. We can compute the average expected feed required for the observed daily gain and body weight, using equations developed from experimental data to predict average expected maintenance and growth requirements for the observed body weight and daily gain, and net energy values derived from feeds (Guiroy et al., 2001; Perry and Fox, 1997). Individually fed animals that consume less than the average across a group being evaluated for feed efficiency would have a higher efficiency of use of the feed consumed and/or a lower maintenance requirement; those with a higher intake than expected would likely have a lower efficiency of use of the feed consumed and/or a higher maintenance requirement. Residual feed intake (RFI) has been proposed as a procedure to estimate this difference by subtracting observed DMI of an individual from DMI predicted by an equation developed from the relationship between DMI, ADG and metabolic mean body weight across individually fed contemporaries (Archer et al., 1999; Carstens et al., 2002). In most progeny tests, however feed efficiency for individual animals must be estimated from information available for animals fed in pens under typical feedlot conditions. In this case, a ratio of expected feed required to the observed gain is the only practical measure of feed efficiency. Because our feed required procedure accounts for differences in the effect of body weight and composition of gain on energy requirements, animals with a lower feed to gain ratio may have had a greater intake over maintenance, a greater efficiency of use of the energy consumed, or a combination of both.
Inductive sequentialization of asynchronous programs

Asynchronous programs are notoriously difficult to reason about because they spawn computation tasks which take effect asynchronously in a nondeterministic way. Devising inductive invariants for such programs requires understanding and stating complex relationships between an unbounded number of computation tasks in arbitrarily long executions. In this paper, we introduce inductive sequentialization, a new proof rule that sidesteps this complexity via a sequential reduction, a sequential program that captures every behavior of the original program up to reordering of coarse-grained commutative actions. A sequential reduction of a concurrent program is easy to reason about since it corresponds to a simple execution of the program in an idealized synchronous environment, where processes act in a fixed order and at the same speed. We have implemented and integrated our proof rule in the CIVL verifier, allowing us to provably derive fine-grained implementations of asynchronous programs. We have successfully applied our proof rule to a diverse set of message-passing protocols, including leader election protocols, two-phase commit, and Paxos.
Antibiotic Resistance pattern and Effect of Some Growth Condition on Lactococcus lactis subsp. lactis Isolated from Cow Milk

In this study a total of one hundred forty five-milk sample were collected during the period (July to November 2013) from different fields in Erbil and Duhok province. Screening revealed that 45 out of 145 samples of crude cow milk (31%) were Lactococcus lactis subsp. lactis. Characterization of these selected isolates was carried out using morphological, biochemical, API 20 system and further confirmation was achieved by PCR assay. Antibiotic sensitivity test performed for L. lactis subsp. lactis against thirteen antibiotics. The isolates appeared to be varied in their resistance, the number and resistance percent for antibiotics used were as follow: Cephalothin 95.55%, Ampicillin 93.33%, Amoxicillin/ Clavulanic acid (AMC) 93.33%, Sulfamethoxazole/ Trimethoprim 91.11%, Cefotaxime sodium 84.44%, Clindamycin 77.77%, Ceftriaxone 71.11%, Nitrofurantoin 62.22%, Gentamycin 53.33%, Vancomycin 40%, Ciprofloxacin 35.55, Chloramphenicol 24.44%, and Imipenem 2.22%. All isolates extracts exhibited marked activity against five pathogenic bacteria includes B. subtilis, P. aeroginosa, E. coli, S. aureus and C. perfringes using agar well diffusion method. Isolate 15 and 41 exert maximum activity (20mm) and (16mm) against B. subtilis and S. aureus whereas isolate 20 showed highest activity (13mm) against P. aeroginosa. Generally, all aforementioned isolates were active against gram positive and Gram negative bacteria. In addition, the effect of pH and, temperature were studied on isolates 10, 26, and 42 extract (bacteriocin) activities against some pathogenic bacteria. The results showed that isolate 42 displayed highest activity at pH 2.5 and temperature at 4°C against pathogenic bacteria under study. Minimum inhibitory concentrations were tested for nisin and the results revealed the MIC of nicin for S. aureus was 400μg/ml while for E. coli was 500μg /ml. K e y w o r d s
Evaluation of Brain Tumors by using Computed Tomography among Adult Saudi Patients

This descriptive and analytical study was conducted at Jeddah hospital in Jeddah in the period from January 2019 to April 2019, to evaluate brain tumors using computed tomography (CT) scan. The study was done by collecting 30 patients (male and female) with different ages (20 -80) years old with suspected brain tumors. From our results, we found that the most affected age group was (40 to 60 years old) represented the highest percentage 43.3% while the age group (60 to 80 years old) represented the lowest percentage 26.7%. The male patients affected more than female patients with percentage (60%) and (40%) respectively, the non-malignant tumors represented the highest percentage of 60%. According to malignant classification, 91.7% were primary type; with only 8.3% from malignant cases is secondary type. Headache is the highest associated symptoms with cases 42.11%, followed by interpreting language with 21.05%. Finally, we found: meningioma represented 66.7% in CT findings which is the highest findings among males and females.
A Secure Skin Tone Based Steganography Using Double Density Discrete Wavelet Transform

: Steganography is the art of hiding the existence of data in another transmission medium i.e. image, audio, video files to ach ieve secret communication. It does not replace cryptography but rather boosts the security using its obscurity features. The proposed method uses both Cryptography and Steganography to enhance the security of the message. The secret message is first encrypted using RSA algorithm and then randomized using OAEP [1]. This encoded message is then embedded in the bitmap cover image using frequency domain approach. For embedding the encrypted message, initially skin tone regions of the cover image are detected using HSV (Hue, Saturation, Value) model. Thereafter, a region from skin detected area is selected, which is known as the cropped region. In this cropped region secret message is embedded using DD-DWT (Double Density Discrete Wavelet Transform). DD-DWT overcomes the intertwined shortcomings of DWT (like poor directional selectivity, Shift invariance, oscillations and aliasing)[2]. Hence the image obtained after embedding secret message (i.e. Stego image) is far more secure and has an acceptable range of PSNR. The proposed method is much better than the previous works both in terms of PSNR
Antibacterial Activity of Kantakari Seeds (Solanum xanthocarpum)

Objective: To examine the Antibacterial activity of Solanum xanthocarpum seed extracts. Methods: The extracts were obtained by the soxhlet extraction method. The inhibitory effects of different concentrations of extracts were tested against both the micro-organisms (Streptococcusmutans and Lactobacillus-acidophilus) by using agar well diffusion method. Result: Different concentrations of seed extracts of Solanum xanthocarpum exhibit good activity against both the micro-organisms tested. The activity was concentration dependent. Conclusion: The encouraging results indicate that the seed extract of Solanum xanthocarpum can be useful as a natural antibacterial agent for the various infections. Savita V. Pol*, Vikram H. Potdar 1 , Anjali K. Takke 2 , Smita N. Takarkhede 3 , Rupali B. Bhoje 4 *, 2, 3, 4 Department of Pharmaceutics, Ideal College of Pharmacy, Kalyan, Thane, India. 1 Department of Pharmacology, Tatyasaheb Kore College of Pharmacy, Warananagar, Kolhapur, India. Submission: 5 July 2016 Accepted: 10 July 2016 Published: 25 July 2016 www.ijsrm. humanjournals.com Citation: Savita V. Pol et al. Ijsrm.Human, 2016; Vol. 4 (1): 118-123. 119 INTRODUCTION Majority of environmental bacteria are resistant to synthetic drugs [1]. Hence there is increasing need for development of alternatives, to antibacterial agents. An alternative antibacterial agent could reduce side effects of existing medicines and provides cost effective option for developing countries. Medicinal plants represent a rich source of drugs against bacterial infections. (2). There are several studies on the antibacterial activity of different herbal extracts. Since ancient times plant extracts were used for antibacterial therapy [3-5] . For this reason, researchers are increasingly turning their interest to herbal products, looking for new compounds to develop better treatment against bacterial infection. Solanum xanthocarpum belonging to family Solanaceae, is a medium size tree [6] . It is commonly called as Kantakari. It grows on dry or moist soil. Its leaves are elliptical or ovate and are full of spines. Flowers are globular and bright blue or bluish purple in colour and seeds are circular, flat, numerous, embedded in a fleshy mesocarp about 0.2 cm in diameter [7, 8]. Solanum xanthocarpum plant contains alkaloids, steroids, saponins, flavonoids and also carbohydrates, fatty acids, amino acids, etc. Solasodine is the principal steroidal alkaloid. It is reputed in systems of medicines as the various parts of plant [9]. Solanum has been used traditionally for anti-inflammatory [10], anthelmintic, laxative, antipyretic, anti-asthmatic antiinflammatory, and aphrodisiac [11] ,antidiabetic activity [12] The plant extract of Solanum xanthocarpum also having insecticidal and molluscicidal properties [13] . Considering the vast potentiality of herbal plants as sources for antibacterial drugs with a systematic investigation was undertaken to screen the seeds of Solanum xanthocarpum for antibacterial activity.
INVESTIGATING EVIDENCES OF QUATERNARY GLACIATIONS IN THE PREALPINE ENVIRONMENT OF THE ASTICO VALLEY

Rossato S. , Monegato G. & Mozzi P., Investigating evidences of Quaternary glaciations in the Prealpine environment of the Astico valley. (IT ISSN 0394-3356, 2011) In the Astico valley (Venetian Prealps) some glacial, fluvioglacial and glaciolacustrine deposits were found. They are attributed to a pre-LGM glacial advance which reached further out in the valley. Geomorphological and stratigraphic data support this hypothesis. It is also pointed out the presence of a tectonic guidance in the developing of the Astico