Miracle-dz/UniFAR-FTUs huggingface dataset:
Management of Confidentiality of Cryptosystems Using Linear Codes-a Bird’s Eye View

In this paper, we investigate the management of confidentiality in terms of security notions of McEliece cryptosystem, the first encryption scheme using linear codes, proposed on the basis of the hard problems in coding theory and its variants in the provably secure approach. The original McEliece is only a one way function. Therefore to obtain the higher notions of security, modifications on the original scheme are proposed. Li et al. in IEEE transactions on information theory (1994), proved that the security of McEliece cryptosystem and Niederreiter cryptosystem, the dual of McEliece cryptosystem are equivalent. In this paper we show that it is not true. Dolev et al. in their paper published in STOC (1991), coined the notion of non malleability which formalizes an adversary’s ability to create a different cipher text yı for a plain text xı from the cipher text y which is an encryption of x. It is seen that the McEliece system is malleable and Niederreiter system is non malleable in view of the security notions existing in the provably secure scenario.
PHYTOCHEMICAL AND ANTIMICROBIAL STUDIES OF N- HEXANE FRACTION OF THE CRUDE METHANOL EXTRACT OF THE LEAVES OF CISSUS POLYANTHA (VITACEAE)

The nHexane fraction of the crude methanol extract of the leaves of Cissus polyantha (family: Vitaceae) used in traditional medicine for the treatment of conjunctivitis and inflammatory condition was evaluated for its phytochemical constituents and antimicrobial activity. The antimicrobial activity was studied using cup plate agar diffusion and broth dilution techniques and the organisms tested are: Escherichia coli, Staphylococcus aureus, Methicillin Resistant Staphylococcus aureus, Corynebacterium ulcerans, Shigella dysenteriae, Klebsiella pneumoniae, Candida albicans, Candida krusei, Candida tropicalis and Pseudomonas aeruginosa. Phytochemical screening revealed the presence of steroids, triterpenes and flavonoids. The results of the antimicrobial susceptibility test showed that the fraction had activity against all the organisms tested (zone of inhibition 15-19 mm) with the exception of Corynebacterium ulcerans, Pseudomonas aeruginosa, and Candida tropicalis. The activity was found to be comparable to that of Sparfloxacin 5 μ /disc [a standard antibiotic] and Griseofulvin100 unit /disc [a standard anti-fungal]. This study showed the potential of n-hexane fraction of the methanol extract of Cissus polyantha as a source of antimicrobial agents.
Morality Prediction Model in Cardiovascular Disease with Significant Feature Selection and Hybrid KNN Classification Technique

Nowadays morality rate is increasing globally due to heart disease. It is one of the leading health risk facing men today. So early detection of heart disease assist the patients to maintain a healthy life style. Several techniques are used in the medical field to detect or diagnose disease in view of patient family health history and some other aspects. However, developing a system to predict the heart diseases without any medical tests is still challenging. Machine learning (ML) approaches is suitable and effective in providing decision and prediction from enormous health care data. Several previous researches provide an overall view in ML methods for disease prediction but the accuracy of prediction is still needed to be improved. In this study, a novel framework is presented that intent at removing the unwanted features with Bacterial Colony Optimization algorithm and applies the Hybrid KNN algorithm with great accuracy in identifying the heart disease. This prediction model is developed with UCI Cleveland dataset with several known classification approaches. An enhanced model is presented with 99.83% accuracy in heart disease prediction. The presented study is compared with other classification approaches.
Emotion Recognition using Various Combinations of Audio Features and Textual Information

본 논문은 다양한 음성 특징과 텍스트를 이용한 멀티 모드 순환신경망 네트워크를 사용하여 음성을 통한 범주형(categorical) 분류 방법과 Arousal-Valence(AV) 도메인에서의 분류방법을 통해 감정인식 결과를 제시한다. 본 연구에서는 음성 특징으로는 MFCC, Energy, Velocity, Acceleration, Prosody 및 Mel Spectrogram 등의 다양한 특징들의 조합을 이용하였고 이에 해당하는 텍스트 정보를 순환신경망 기반 네트워크를 통해 융합하여 범주형 분류 방법과 과 AV 도메인에서의 분류 방법을 이용해 감정을 이산적으로 분류하였다. 실험 결과, 음성 특징의 조합으로 MFCC Energy, Velocity, Acceleration 각 13 차원과 35 차원의 Prosody 의 조합을 사용하였을 때 범주형 분류 방법에서는 75%로 다른 특징 조합들 보다 높은 결과를 보였고 AV 도메인 에서도 같은 음성 특징의 조합이 Arousal 55.3%, Valence 53.1%로 각각 가장 높은 결과를 보였다.
Outlier Detection in Wireless Sensor Networks Data by Entropy Based K-NN Predictor

Anomaly (outlier) detection is plays very significant role in ESN based monitoring application using on large data used for biomedical and defence. Wireless Sensor network monitor environmental parameters (temperature, humidity, pressure, vibration etc). Group of sensor nodes forms a (WSN) and observations collected from these sensor produces low data quality and reliability due to the limited energy, memory, computation capability and bandwidth. The dynamic environment of network and roughness of the working condition are also responsible to generate inaccuracy in measurements. In this paper, an approach for outliers detection based entropy value of received sensor voltages is applied using KNN prediction model . The algorithm development and analysis involves a real time database generated on 14 sets of MICA2 wireless sensor kit with anomaly inserted by real time motion based intrusion in the lab by volunteers from Intel Berkeley lab. On each sensor data pair segmentation is applied by fixed window size in order get large outliers’ measurements training dataset. The analysis demonstrates the measurement accuracy in detection of number of outliers that its 86%. Moreover, the algorithm also provides an analysis in terms of impact of variation in distance types and number of nearest neighbours in the KNN prediction model. This work is helpful in the application in the situations where high amount of noise or distortions are present. The outlier part from distorted data can be figured out and recollected to enhance application accuracy.
Genetic Parameter Estimates of Body Weights of Naked Neck Broiler Chickens

The chicks used in this experiment were obtained from a population of naked neck broiler chickens that has been kept in NAPRI since 1998. Six Hundred chicks were obtained from four hatches, one week apart. At hatch, pedigreed chicks were wing-banded and housed on deep litter in an open house. Body weights were measured biweekly up to 8 weeks of age. Other measurements taken include Neck length, Back length, keel length and breast angle. The general least square means were 37.22 ± 0.32, 210.46 ± 1.97, 744.33 ± 4.31, 1351.3 ± 7.91 and 2428.1 ± 14.61g for wt at day old (WT0D), weight at 2 weeks (WT14D), weight at 4 weeks (WT28D), weight at 6 weeks (WT42D) and weight at 8 weeks (WT56D), respectively. While measurements taken included Neck length, Back length, keel length and breast which were 7.31±0.06, 15.99±0.05, 5.63±0.04, 10.44±0.04cm respectively. The heritability estimates ranged from low value of 3.013±0.08 for keel length to 0.315±0.22 for WT0D. There were negative genetic correlations between WT0D and other traits. This study showed that additive heritabilities are low for linear body measurement and moderate for body weight for naked neck chickens during rearing.
EFFECT OF CUTTING TOOL PARAMETERS ON RESIDUAL STRESSES IN UNCONVENTIONAL TURNING

Residual stresses carry a vital role in determining the quality of the turned workpieces. Numerical modelling of residual stresses provides a deep insight of the process mechanism and increases the productivity by conserving time, material and manpower. In simultaneous turning process, two tools are engaged simultaneously to perform the turning process. This research work focuses on numerical investigation to estimate the impact of chamfer angle and width for various feed on surface residual stresses. The numerical simulation was done by commercially available finite element code. The work and tool material are AISI 4340 steel and carbide. CPE4RT four node plane strain element was used for the analysis. A widely used damage criterion was employed for the chip removal. The coefficient of friction in between the sliding surfaces was based on penalty approach. The friction coefficient was taken as 0.3. With the increase in chamfer angle and chamfer width, the surface residual stresses increase. This is caused by the rise in cutting forces and inelastic strain. At constant chamfer angle, with increase in cutting speed the cutting forces remain constant for both the cutting tools. The same trend was also observed for the chamfer width. On the whole, the usage of chamfered cutting tools proved to be beneficial in imparting higher compressive residual stresses in the simultaneous turning process.
Multimedia: A Means of Improving Students’ Engagement in Mathematics Classrooms?

Despite the potential benefit of multimedia, there is currently little tangible evidence to support the view that multimedia is bringing about the required shift in the quality of education that it is intended to support. This study compared mathematics students in nine Years 8 to 12 classes that were frequently exposed to multimedia with seven Years 8 to 12 classes that were not. First, quantitative data were collected using students’ self-reports on their engagement. Second, classroom observations and interviews with 10 students and three teachers were used to gather information that provided insights regarding students’ perceptions of the use of multimedia in mathematics classes. The results found statistically significant differences between the two groups, with students who were frequently exposed to multimedia reporting more learning goal orientations, task value, self-efficacy and selfregulation than their counterparts who were not exposed to multimedia. Observation and interview data, collected to provide insights into the quantitative data, suggested that students who were in classes that were frequently exposed to multimedia were more likely to be autonomous and independent in their learning than their counterparts in classes who were not frequently exposed to multimedia. Further, exposure to multimedia was found to be differentially effective for male and female students. Statistically significant interactions were found between exposure to multimedia and gender for learning goal orientations, task value and self-efficacy with males reporting to be more engaged than females in classes that were frequently exposed to multimedia and less engaged than females in classes that were not frequently exposed to multimedia. The results offer potentially important insights into how students’ exposure to multimedia could promote their engagement in mathematics classes.
TAXONOMY, LIFE CYCLE, AND AUXOSPORULATION OF NITZSCHIA FONTICOLA (BACILLARIOPHYTA) 1

Nitzschia fonticola (Grunow) Grunow is a member of Nitzschia sect. Lanceolatae, a group of taxonomically intractable but ecologically important and widespread diatoms. We investigated the morphology and life cycle in three clones of N. fonticola and all exhibited reduced sexuality, with pedogamous production of auxospores in unpaired gametangia. The auxospores of all clones contained tangles of striplike elements that lay outside the perizonium and were distinct from it in structure and ontogeny. We introduce a new term, incunabula, to refer to such components of the auxospore wall. Semicryptic variation was detected: one clone differed from the other two in valve size and shape, stria density, and fibula density, as well as its nuclear large subunit ribosomal DNA (LSU rDNA) sequence. The implications of reduced sexuality for the taxonomy of sect. Lanceolatae are discussed. A lectotype is designated for N. fonticola from among original material of Grunow, and the application of the name is clarified further by designating illustrations and the LSU sequence AM182191 from one of our clones as epitypes.
Identification of Causes of Rubber Leaves Outbreak In Indonesia

Rubber is an important commodity and a source of farmers' income for Indonesia. One of the causes of low rubber production in Indonesia is due to various diseases. In present, day one of the oubreak rubber diseases in Indonesia is leaf fall disease. This study aim to determine the condition of leaf fall disease which was currently an oubreak in Indonesia, isolate and characterize the pathogens that caused it. The observations in the field showed defoliation continuous up to 75-90%, the canopy became thinner and production dropped to 25-45% (Data from Sembawa Research Center in May-2018), Methodology scoring of disease intensity by category from International Rubber Research and Development Board (IRRDB). This disease attacked all clones and all plant stages in nurseries, garden plants, immature plants and mature plants. Based on the morphologically analysis it can be seen that this pathogen was Pestalotiopsis sp and obtained 2 symptoms from the Koch Postulate.
Water stress-induced alterations in the proline metabolism of drought-susceptible and -tolerant cassava (Manihot esculenta) cultivars

The free proline levels and activities of ornithine aminotransferase (EC 2.6.1.13) and proline oxidase (EC 1.5.2.2), two of the enzymes involved in proline metabolism were studied during the induction of water stress in a drought susceptible (M-4) and a drought tolerant (S-1315) cultivar of cassava (Manihot esculenta Crantz). Water stress induced by polyethylene glycol (MW 6000, osmotic potential — 1.65 MPa) caused a ca 25-fold increase in proline in young excised leaves of the susceptible cultivar (M-4) while the increase was about 9-fold in the tolerant cultivar (S-1315). The activity of ornithine aminotransferase (OAT), a key enzyme involved in the biosynthesis of proline, was found to increase 3-fold in water stressed leaves of M-4 and about 2-fold in those of S-1315. The activity of proline oxidase, which is involved in the degradation of proline to pyrroline-5-carboxylate, was reduced by 50% in M-4 and nearly 25% in S-1315 on water stress. Comparison of the kinetic properties of OAT showed that the enzyme from water-stressed leaves is more stable to heat inactivation compared to that of control. These results indicate that during water stress there are alterations in the metabolism of proline in cassava, and the extent of alteration varies between drought-susceptible and -tolerant cultivars.
Balanced-DESA for Cluster Formation to Prolong Lifetime of Wireless Sensor Network

-The energy consumption in wireless sensor network is main concern because the power sources are non-rechargeable just like batteries. Better utilization of contained energy is important because network need the energy for continuous communication. One of traditional approach to do this is clustering. Here we present optimization techniques which are useful in selection of optimal cluster head. As the selection of improper cluster head cause earlier death of nodes because the nodes communication depends on cluster head. Here we going to propose a CH election technique to prolong the lifetime of wireless sensor network.
Impact of Recombinant Baculovirus Applications on Target Heliothines and Nontarget Predators in Cotton

Abstract Recombinant baculoviruses have been genetically engineered to reduce the time to kill infected pests, thus reducing crop damage. In this study, wild-type viruses and recombinant viruses expressing a scorpion toxin were applied to cotton in response to larval infestations of Helicoverpa zea and Heliothis virescens in 1997 and 1998. A chemical standard and an untreated control acted as comparison treatments. The goals of this field study were to (1) assess the efficacy of recombinant baculoviruses in protecting cotton from larval feeding damage; (2) assess the impact of recombinant virus introductions on predator densities and diversity; and (3) determine if cotton predators acquire baculovirus by consuming infected heliothines. When applications were timed at larval emergence, certain recombinant virus treatments protected cotton from damage better than wild-type virus treatments and as well as the chemical standard. Differences in efficacy between recombinant and wild-type baculoviruses were not apparent if treatments were applied 3 to 4 days after peak larval emergence. Predator densities and diversity were similar among recombinant and wild-type baculovirus treatments, whereas plots treated with the chemical standard had consistently smaller predator populations. From polymerase chain reaction analyses of predators in 1997 and 1998, 1.7 and 0.2%, respectively, of predators had consumed a virus-infected heliothine. Nine of the 26 predators carrying viral DNA were positive for recombinant virus. Additionally, 13 of the 26 predators were found to disperse 13.5 to 105 m 2 to 5 days after initial virus applications. Five of these dispersing predators (0.2% of all predators evaluated) carried recombinant viral DNA. These results suggest that the potential for the inadvertent spread of recombinant viral DNA via dispersing predators is low.
Pre and Postoperative Lower Urinary Tract Dysfunction Associated with Deep Infiltrating Endometriosis: A Prospective Observational Study

Objective: This study evaluates the impact of deep infiltrating endometriosis (DIE) surgery on lower urinary tract dysfunction for patient without preoperative lower urinary tract symptom or documented bladder endometriosis. Design: A prospective observational study. Method: We used a portable ultrasound device (bladder scan) to measure bladder post-voiding residual volume (PVR), before and after surgery for all patients undergoing surgery for DIE. Criteria of inclusion: patients older than 18 years-old diagnosed with DIE confirmed by pelvic magnetic resonance imaging (MRI) and required surgical intervention. Criteria of exclusion were patients with contraindication for laparoscopic surgery, patients with preoperative lower urinary tract symptom, patients diagnosed with DIE involving the bladder or the urological tract, patients with history of neurogenic bladder, patients with history of surgical treatment of endometriosis. Result: 49 patients were included in the study. 9 of 49 patients (18.4%) presented with abnormal preoperative PVR. Among them, 5 patients (10.2%) had normal post-operative PVR and 4 (8.2%) were diagnosed with bladder atony before and after the surgical intervention. 40 patients (81.6%) had normal pre-operative PVR. Among them, 12 patients (24.5%) had abnormal PVR in postoperative period. Conclusion: Endometriosis is a sever benign condition that could impair bladder function in totally asymptomatic patient. Preoperative PVR measurement is a simple and non-invasive tool to assess voiding function before surgery. Preoperative and postoperative voiding function assessment should be part of the management of patients undergoing surgery for DIE. Impact of DIE and surgery on voiding function should be part of the information given to patients.
Three new species of the genus Dactylospora in Spain

Abstract Three species of the genus Dactylospora, D. crassa Sarrion & Hafellner, D. mediterranea Sarrión & Hafellner, and D. pseudourceolata Sarrión & Hafellner are described as new from Spain. The morphology, anatomy, and ecology of the three taxa are discussed. A key to the Spanish Dactylospora species is provided.
Copy and Move Detection in Audio Recordings using Dynamic Time Warping Algorithm

Copy and move forgery technique is a versatile technique used by criminals to change the evidences unlawfully. This is done by removing or adding the segments of an audio recording from another audio using simple software tools . Nowa-days in courts and forensics lab we use digital audio or speech as proof of evidence. With the advancement in digital software and technology it is made possible to modify the original audio data and tamper with it. In this paper we are using a robust method of copy and move detection using MFCC and Dynamic time warping which is robust against several kinds of regularly used post-processing actions and background noise, which highlights its promising potential of the suggested method as an audio tampering detection tool in various practical forensics applications with help of DTW. The proposed method is giving good outcome in differentiating the original sequences and forged sequences. This is done and implemented in mat lab
Detection of pediocin PA-1-producing pediococci by rapid molecular biology techniques

Five bacteriocinogenic lactic acid bacteria strains (347, X13, Z102, A172 and P20) independently isolated from fermented sausages were identified asPediococcus acidilacticiby carbohydrate fermentation patterns and other biochemical characteristics. This fact, together with their activity againstListeria monocytogenes, suggested that they could be pediocin PA-1 producers. Rapid molecular biology techniques were used to detect the pediocin PA-1 operon in these strains. PCR, dot-blot and Southern hybridization, and DNA sequencing results confirmed that all of them had the genetic determinants for pediocin PA-1 biosynthesis encoded in a 9.4 kb plasmid. The bacteriocin produced byP. acidilactici347 has been purified by a procedure that included ammonium sulphate precipitation and cation exchange, hydrophobic-interaction and reverse-phase chromatography. The amino acid sequence of this bacteriocin was identical to pediocin PA-1, confirming the expression of the pediocin PA-1 genes.
Avaliação de uma metodologia profilática contra a mastite clínica em ovelhas da raça Santa Inês

Mastitis is an important problem for the Santa Ines ewes and is a disease strongly related to the management carried out in the herd. A comparative study was carried out between the proposed method based on drying (treatment) and the traditional method (control). Sixty-two Santa Ines ewes raised in a semi-extensive system were divided in two groups of 31 ewes each: treatment group (G1) and control group (G2). The animals were monitored each week searching for clinical sings of mastitis. In 8.4% of G1 and 41.3% of G2 animals, the udder was warm and hyperemic. The presence of residual milk was lower in G1 (24.3%) compared to those of G2 (74.2%). The proposed treatment for the control of ovine mastitis significantly reduced the frequency of the clinical signs of the disease.
Gender Classification for Emotional Speech using GMFCC and Deep LSTM

We have come to the point that one of the important aspects of the process speech emotion recognition is the gender classification. The correct classification of gender will improve the performance of Speech Emotion Recognition (SER) system towards its robustness. Here, we are specifically referring to Gammatone Mel Frequency Cepstral Coefficient (GMFCC) as a feature extraction method that extracts features from IITKGPSESHC dataset, which is very crucial in deciding either male or female in gender classification. The well known classifier “Deep Long Short Term Memory (Deep LSTM)” is itself an important kind of Recurrent Neural Network (RNN) that handles the longrange dependencies more efficiently than the RNNs. The GMFCC feature has to pass through the Deep LSTM and get average percent gender identification accuracy of 98.3%.