Miracle-dz/UniFAR-FTUs huggingface dataset:
SURVEY FOR UNDERSTANDING SHORT TEXTS THROUGH SEMANTIC ENRICHMENT

Short text messages such as tweets are very noisy and sparse in their use of vocabulary. Traditional textual representations, such as tf-idf, have difficulty grasping the semantic meaning of such texts, which is important in applications such as event detection, opinion mining, news recommendation, etc. We constructed a method based on semantic word embeddings and frequency information to arrive at low-dimensional representations for short texts designed to capture semantic similarity. For this purpose we designed a weight-based model and a learning procedure based on a novel median-based loss function. This paper discusses the details of our model and the optimization methods, together with the experimental results on both Wikipedia and Twitter data. We find that our method outperforms the baseline approaches in the experiments, and that it generalizes well on different word embeddings without retraining. Our method is therefore capable of retaining most of the semantic information in the text, and is applicable out-of-the-box.
Idh-1 Status and Venous Thromboembolism in Glioma Patients

Background: Venous thromboembolic events (VTE) are common causes of morbidity and mortality in glioblastoma patients. Mutation in the isocitrate dehydrogenase 1 enzyme (IDH1) is frequent in secondary glioblastoma and results in altered metabolomics. Objectives: This study evaluates whether IDH-1 status correlates with incidence of VTE in glioblastoma patients. Methods: Observational study of 398 cases of patients with glioblastoma, who all underwent surgery in a regional Neurosurgical centre between April 2012 and December 2014. IDH -1 status and Tissue factor (F3) protein expression were assessed by immunohistochemistry. Deep venous thrombosis (DVT) and pulmonary embolism (PE) were diagnosed by Doppler ultrasound and pulmonary CT angiogram respectively. Results: 336 cases were wild type (WT) IDH-1 (94.1%) and 21 cases were IDH-1 mutated (R132H) (5.9%). 51 patients had a thromboembolic event (15.3%), with all cases of VTE in WT IDH-1 tumours, a rate of 21.8% within this group. IDH-1 status had a significant correlation with VTE (p=0.033 Fisher exact test). As expected, mutant IDH was associated with prolonged patient survival (p=0.024 Log rank). The mean expression in IDH-1 wild type GBM was 7.14 and in R132h mutant GBM was 4.87 (log2 scale). This was highly statistically significant with a corrected P value of less than 0.0001. Conclusion: A significant association exists between IDH1 status in glioblastoma patients and the risk of VTE. Patients with wild type IDH-1 appear at high risk of VTE and appropriate precautions should be considered
OPTIMAL IMPLEMENTATION OF PARALLEL PREFIX ADDERS

— In Very Large Scale Integration (VLSI) designs, Parallel prefix adders (PPA) have the better delay performance. This paper investigates four types of PPA’s (Kogge Stone Adder (KSA), Spanning Tree Adder (STA), Brent Kung Adder (BKA) and Sparse Kogge Stone Adder (SKA)). Additionally Ripple Carry Adder (RCA), Carry Lookahead Adder (CLA) and Carry Skip Adder (CSA) are also investigated. These adders are implemented in verilog Hardware Description Language (HDL) using Xilinx Integrated Software Environment (ISE) 14.2 Design Suite. These designs are implemented in Xilinx Spartan 3 Field Programmable Gate Arrays (FPGA) and delays are measured,all these adder’s delay, power and area are investigated and compared finally.
Organizational, Clinical and Social Aspects of Age-Related Sarcopenia Diagnostics in Patients with Obesity

Sarcopenia is one of the key geriatric syndromes, the presence of which is associated with an extremely poor prognosis as to life expectancy and quality of life. The significance of sarcopenia as a prognostic factor is vividly reflected in the ILSIRENTE study in which the patients aged 80-85 years (364 patients in total at the baseline) were observed during 7 years. Within this period of time, 67.4% of the observed patients from the sarcopenia group and 21.8% from the non-sarcopenia group died (p<0.001). The relative risk of death in the sarcopenia group was significantly (2.32 times) higher even after excluding the age, sex, education, active daily life (ADL), body mass index (BMI), apical hypertrophy (AH), chronic heart failure (CHF), chronic obstructive pulmonary disease (COPD), number of chronic diseases and TNF-alpha levels from the analysis. This article examines the organizational aspects of early diagnostics of this syndrome.
MONTE-CARLO SIMULATION FOR 9T SRAM CELL IN 45NM CMOS

Due to seriousness of process variation in deep sub-micron devices, it is necessary to study the operation of the ratioed structure under process variations and device mismatch. The global and local variations can cause the traditional ratioed logic to lose functionality. The Static Random Access Memory (SRAM) is highly ratioed and affected by the global and local process fluctuations. In this paper, the proposed SRAM cell has been investigated for the statistical process variations. The cell shows the improved read stability and write ability due to isolation of read and write circuits. The cell shows robustness against temperature, process and voltage variation due to separate write signal WS, lower leakage current and lower parasitic capacitance.
A Comparison of Quality of Life and Support Mechanisms After Childhood Burn Injures in Asian and European Countries: A Systematic Review

Background: Childhood burns are the leading cause of unintentional injuries, with more incidences in Asian than in European countries. This systematic review aims to compare the differences in extent and type of burns in children from Europe and Asia, along with the differences in the coping strategies and the quality of life these children possess after the event of the burn. Methods: This systematic review was conducted along the PRIMSA guidelines. We systematically searched DOAJ, Google Scholar, Ingentaconnect, Jurg, Popline, Prof Search, Pubmed, Pubmed Abstract, Pubpsych, Pakmedinet and PMC on 10th May 2016. Studies were selected if they met the following criteria: (1) must be based in Asia or Europe (2) must be related to burns (3) must be related to children (4) must not be treatment specific (5) must be in English (6) must be a published in a journal (not in a 1 4 Year MBBS Student, KEMU, Lahore 2 4 Year MBBS Student, KEMU, Lahore 3 Chairperson and Head of Department, Community Medicine, King Edward Medical University, Lahore Date of Submission: 17-8-2016 Date of Acceptance for Publication: 29-10-2016 Conflict of Interest: None Funding Source: None
Improving I/O Performance using Cache as a Service on Cloud

— Caching is gaining popularity in Cloud world. It is one of the key technologies which plays a major role in bridging the performance gap between memory hierarchies through spatial or temporal localities. In cloud systems, heavy I/O activities are associated with different applications. Due to heavy I/O activities, performance is degrading. If caching is implemented, these applications would be benefited the most. The use of a Cache as a Service (CaaS) model as a cost efficient cache solution to the disk I/O problem. We have built the remote-memory based cache that is pluggable and file system independent to support various configurations. The cloud Server process introduce, pricing model together with the elastic cache system. This will increase the disk I/O performance of the IaaS, and it will reduce the usage of the physical machines .
Security Solutions against Computer Networks Threats

---------------------------------------------------------------------- ABSTRACT ----------------------------------------------------------- The spread of information networks in communities and organizations have led to a daily huge volume of information exchange between different networks which, of course, has resulted in new threats to the national organizations. It can be said that information security has become today one of the most challenging areas. In other words, defects and disadvantages of computer network security address irreparable damage for enterprises. Therefore, identification of security threats and ways of dealing with them is essential. But the question raised in this regard is that what are the strategies and policies to deal with security threats that must be taken to ensure the security of computer networks? In this context, the present study intends to do a review of the literature by using earlier researches and library approach, to provide security solutions in the face of threats to their computer networks. The results of this research can lead to more understanding of security threats and ways to deal with them and help to implement a secure information platform.
THE COMMON TYPES OF HEALTH INSURANCE FRAUD AMONG INSURED AND HEALTHCARE PROVIDER

: Insurance fraud ranks second only to tax evasion as the costliest white-collar crime in America. The main motive in health insurance fraud is financial profit. Insurance contracts provide both the insured and healthcare provider with opportunities for exploitation. In health insurance, fraud‚ false or misleading information is provided to a health insurance company in an attempt to have them pay unauthorized benefits to the policy holder‚ another party‚ or the healthcare provider. The offense can be committed by the insured or the provider of health services. The review result shows that the health insurance fraud has a negative effect on the annual return on assets (financial performance) of insurers, and on the society, and has several types of fraud. When fraud in the health, life and specialty insurance lines is added, insurance fraud costs could exceed $100 billion a year.
Colluding Detection of Misbehaving Nodes in MANET

— with the increasing popularity of portable devices, wireless ad-hoc networks have been widely used to achieve better connectivity at places where an infrastructure is not immediately available or cannot be directly used. Its infrastructure less property and the easy deployment along with the self-organizing nature makes them useful for many applications. Nodes in MANET are with limited battery power and resources. Where few nodes behaves selfish to save their resources by expecting services from other neighboring nodes but refusing to provide any service to its neighbors or misbehaves by colluding, since routing requires cooperation of nodes it is highly important to provide incentives for them to cooperate. There exists extensive work in Mobile Ad hoc Networks (MANETs) on security measures as well as correctness of the estimation of the position of a node despite attacks from adversaries.
RELATIONSHIPS BETWEEN STOMATAL CONDUCTANCE AND YIELD UNDER DEFICIT IRRIGATION IN MAIZE (Zea mays L.)

This study was conducted to evaluate the adaptability of maize hybrids under water deficit condition by measuring of stomatal conductance with the corresponding yield of maize hybrids. Seven maize hybrids were grown at two different irrigation regimes (well water and deficit water conditions) at the agricultural research area of Cukurova University, Adana, Turkey. The results of study indicated that at drought stress (deficit water) remarkably influenced maize yield. The hybrid Sancia produced maximum grain yield under water deficient condition while 71May69 hybrid achieved the higher yield under wellwatered condition. Stomatal conductance was strongly correlated with grain yield in this study and higher stomatal conductance indicates higher grain yield, higher stomatal conductance at 7 days after pollination helps to increase grain yield. A positive and significant correlation between grain yield and stomatal conductance was observed at 7th and 21st days after anthesis (DAA). Moderately high stomatal conductance under stress condition helps to produce the highest grain yield. Based on the results, stomatal conductance can be used as selection criterion to identify the drought stress genotypes in maize under Mediterranean condition. Ayman EL Sabagh 1,* , Celaleddin Barutçular 2 and Mohammad Sohidul Islam 3
The Follicular Lymphoma International Prognostic Index (FLIPI) as Part of a Proposed Prognostic Model for Follicular Lymphoma Patients Undergoing Autologous Hematopoietic Stem Cell Transplantation (ASCT).

The FLIPI has recently been demonstrated to correlate with survival in patients (pts) with newly diagnosed follicular lymphoma (FL). No such index has been developed or evaluated to predict outcome for FL pts in the setting of myeloablative therapy and ASCT, despite data suggesting that ASCT may improve overall and progression-free survival (PFS). We examined the factors that contribute to the FLIPI as well as other factors assessed at time of transplant for their association with overall survival (OS) in 189 pts undergoing ASCT for FL. Baseline characteristics included: median age = 47 years (range, 24 – 64), stage III–IV = 94%, >4 nodal areas = 7.7%, elevated LDH = 30%, >5 cm maximal bulk of disease = 18%, chemoresistant disease = 13%, median number of prior chemotherapy regimens = 2. The FL histologies included: Grade 1 (49%), Grade 2 (31%), Grade 3 (13%), and transformation to diffuse large B-cell lymphoma (6%). Patients were conditioned with chemotherapy-only (21%), chemo+TBI (45%), or radioimmunotherapy +/− chemo (34%). Among all pts, the five-year estimated OS and PFS are 58% and 39%, respectively, with a median follow-up among surviving pts of 8 years (range, 1 – 18). The five factors that were found to be most significantly associated with OS include two FLIPI factors [age, hazard ratio for death (HR) = 1.37 per ten-year increase in age; elevated LDH, HR = 1.57] and three other clinical factors [>1 maximal extranodal site of disease, HR = 1.67; ≥2 prior chemotherapy regimens, HR = 1.99; chemoresistant disease, HR = 2.8]. Patients with 0 – 1 adverse factors (with age dichotomized as < 45 vs. ≥ 45) had an estimated 5-year OS of 79%, those with 2 factors 50%, 3 factors 41%, 4 or 5 factors 13% (Figure). Although prospective validation of this proposed model is required, this approach may be used to counsel FL pts regarding expected outcome following ASCT, to compare data between trials, and to design future studies. [Figure][1] Figure [1]: pending:yes
An Improved Fuzzy C-means Algorithm for MR Brain Image Segmentation

Segmentation is an important aspect of medical image processing, where Clustering approach is widely used in biomedical applications. Brain image segmentation is one of the most important parts of clinical diagnostic tools.Fuzzy C-Means (FCM) algorithm proved to be superior over the other clustering approaches in terms of segmentation efficiency. But the major drawback of the FCM algorithm is the unknown number of clusters that assumed randomly. The effectiveness of the FCM algorithm in terms of Unknown number of clusters is improved by using metaheuristic algorithm to converges to the best number of clusters based on Xie-Beni validation index. In this paper, Xie-Beni index is used to choose the best number of clusters for FCM resulted after comparing all values of the index have been chosen using the metaheuristic algorithm which means the best segmentation result.
Novel Asymmetric Hybrid 15 Level Inverter with Reduced Number of Switches Using Different PWM Techniques – Part 1 Simulation Studies

This paper proposes a best modulation technique is phase opposition and disposition pulse width modulation for the asymmetric multi-level inverter (AMLI) which is used for high voltage and high power with renewable energy sources. Here AMLI is used has higher voltage levels with reduced number of switches and dc sources. In this proposed 15-level hybrid AMLI have been implemented sinusoidal pulse width modulation (SPWM) and fundamental frequency pulse width modulation technique (FPWM) is used to achieve the stepped switched staircase waveform with quality of power output. The percentage of total harmonic distortion values of the hybrid AMLI are analyzed by using different PWM techniques are PDPW, APODPWM, PODPWM and PSPWM among these techniques phase opposition and disposition pulse width modulation is best technique is based on selective reduction in harmonic content and it can be produced higher number of output levels and number of phases. Simulation has been carried out using MATLAB/SIMULINK. Keywords-Asymmetric Multi-level inverter (AMLI), Total harmonic distortion (THD), PWM method
An Efficient Intersection Based VANET Routing Strategy on Smart City Roads Using Real-Time Vehicular Traffic

—Vehicular Ad-Hoc Networks (VANETs) enable vehicles to create a self-organized network while not the necessity for a permanent infrastructure and routing in VANETs may be a difficult task attributable to the high quality and high density of mobile nodes. Position-based routing protocols, that are principally supported greedy routing, are additional suited to extremely dynamic and mobile network. attention of the scientific community is to style network familiarized position-based routing protocols, and this has resulted in an exceedingly} very high range of algorithms, totally different in approach and performance and every suited solely to explicit applications. However, various, only a few positions primarily based algorithms have truly been adopted for business functions. a The aim of this work is to develop a VANET-Simulation situation for supporting varied Considering the large number of nodes that participate in these networks and their high mobility, The problem still exist about the feasibility of applications that use end-to-end multi-hop communication in Intersection Routing on City Roads when they are executed in Real-Time Vehicular Traffic. Simulation was done using urban city maps settings and they will evaluate performance best in terms of average delivery rate.
SUPERCRITICAL CARBON DIOXIDE EXTRACTION OF MELATONIN FROM BRASSICA CAMPESTRIS: IN VITRO ANTIOXIDANT, HYPOCHOLESTEROLEMIC AND HYPOGLYCAEMIC ACTIVITIES OF THE EXTRACTS

Brassica campestris Linn. (yellow mustard), a common Indian condiment, possesses melatonin as an important antioxidant. Optimization of supercritical carbon dioxide extraction (SC-CO2) process parameters was conducted to obtain an extract having the best combination of yield of melatonin and maximum in vitro hypoglycaemic and hypocholesterolemic activities, along with a desirable balance of ω6 to ω3 fatty acids. A full factorial design and response surface methodology were employed for process optimization. Melatonin content of the extracts was obtained by high performance liquid chromatography and by liquid chromatography-mass spectrometry. The optimized extraction conditions were obtained at 300 bar, 50 °C for 120 min. This extract exhibited highest content of melatonin (660.72±41.05 ng/g of dry mustard powder), maximum in vitro hypocholesterolemic (60.11±3.89%) and hypoglycaemic (59.70±2.67μg/ml) activities and possessed minimum ω6 to ω3 (1.29) ratio with minimum erucic acid content (2.00±0.20 g/100g of fatty acid). The electron paramagnetic resonance spectroscopy of the extract (0.10±0.001 g/ml) showed 72.10±4.01% scavenging activity of DPPH radicals, establishing its strong antioxidant potency. A new Chrastil equation was developed to compute solubility of melatonin in SC-CO2 under different extraction conditions. The SC-CO2 extract of yellow mustard seeds could have promising use as a natural source of melatonin as well as of balanced ω6 to ω3 fatty acids. INTRODUCTION: Brassica campestris Linn. , commonly known as field mustard, belongs to the family Brassicaceae. Mustard seeds are principally valued as source of edible oil and also as condiment in culinary; however, the same has been less explored as source of natural antioxidants till date 1 . Ongoing studies in our laboratory have confirmed melatonin as an important antioxidant in yellow mustard (YM) seeds (unpublished data). QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.8(6). 2486-95 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.8 (6). 2486-95 Melatonin (N-acetyl-5-methoxy-tryptamine, an indoleamine), the hormone of darkness, is highly significant as a biopharmaceutical molecule, especially as an antioxidant and also possesses significant hypoglycaemic and hypercholesterolemic properties . Since, melatonin is an easily oxidisable compound 3 ; prevention of its oxidative deterioration during extraction from mustard seeds must be averted. Supercritical carbon dioxide (SCCO2) extraction technology allows extraction of biomolecules in carbon dioxide and therefore could avert oxidation of melatonin during extraction. Barthet et al., in 2002 4 have employed SC-CO2 as a non-toxic alternative of harmful organic solvents to extract oil from brown mustard seeds (Brassica juncea).
A VLSI Approach for Cache Compression in Microprocessor A VLSI Approach for Cache Compression in Microprocessor

- Speed is one of the important issues that generally customers consider for selecting any electronic component in the market. Speed of a microprocessor based system mainly depends on the speed of the microprocessor which in turn depends on the memory access time. Accessing on chip memory takes more time than accessing off-chip memory. Because of these, designers of memory system may find cache compression as an advantageous method to increase speed of a microprocessor based system, as it increases cache capacity and off-chip bandwidth. The However, most past work, and all work on cache compression, has made unsubstantiated assumptions about the performance, power consumption, and area overheads of the proposed compression algorithms and hardware. It is not possible to determine whether compression at levels of the memory hierarchy closest to the processor is beneﬁcial without understanding its costs. Proposed hardware compression algorithms fall into the dictionary-based category, which depend on building a dictionary and using its entries to encode repeated data values. Proposed algorithm has number of novel features like including combining pairs of compressed lines into one cache line and allowing parallel compression of multiple words while using a single dictionary and without degradation in compression ratio.
Human Action Recognition or Activity Recognition in Videos

This paper presents a novel approach to locate action objects in video and recognize their action types simultaneously using an associative memory model. The system uses a preprocessing procedure to extract key-frames from a video sequence and provide a compact representation for this video. Every training key-frame is partitioned into multiple overlapping patches in which image and motion features are extracted to generate an appearance-motion codebook. The training procedure also constructs a two-directional associative memory based on the learnt codebook to facilitate the system detecting and recognizing video action events using salient fragments, patch groups with common motion vectors. Our approach proposes the recently -developed Hough voting model as a framework for human action learning and memory. For each key-frame, the Hough voting framework employs Generalized Hough Transform (GHT) which constructs a graphical structure based on key-frame codewords to learn the mapping between action objects and a Hough space. To determine which patches explicitly represent an action object, the system detects salient fragments whose member patches are used to infer the associative memory and retrieve matched patches from the Hough model. These model patches are then used to locate the target action object and classify the action type simultaneously using a probabilistic Hough voting scheme. Results show that the proposed method gives good performance on several publicly available datasets in terms of detection accuracy and recognition rate.