Miracle-dz/UniFAR-FTUs huggingface dataset:
DEFECT DETECTION IN TRUSS AND PLATE STRUCTURES USING 1-D AND 2-D WAVELET TRANSFORM CONSIDERING STATIC AND DYNAMIC RESPONSE SIGNALS

The work is concerned with defect detection in truss and plate structures using dyadic Discrete Wavelet Transform (DWT), while considering the influence of external static or dynamic loading [1], [2] [3]. Examined trusses are modeled as flat and spatial structures with rigidly connected bars. The Kirchhoff plate bending is described and solved by the Boundary Element Method (BEM) [4]. Defects are introduced by weakening of the bar cross-section for trusses and by the additional edges forming slots or holes in relation to the basic plate domain for plates.
Biology of procalcitonin and its potential role in veterinary medicine

Procalcitonin is the precursor of calcitonin hormone, produced by C cells of thyroid gland in physiological conditions. It is also produced in parenchymal cells of many tissues and leukocytes in pathological situations. In the normal condition, procalcitonin is converted by specific enzymes to the calcitonin. Therefore, it is amount in circulation is very low. On the contrary, it increases in the blood and tissue during diseases, because the procalcitonin produced in parenchymal cells cannot be converted to calcitonin. A great number of data has been documented about procalcitonin in human at the physiological and pathological conditions. Furthermore, productions, genetic regulation, kinetics, analysis methods, it is relation with cytokines and diseases have been studied extensively. Consequently, it is used as a reliable biomarker in human medicine, particularly for widespread bacterial infections. However, little is known about the implications in veterinary medicine. In terms of lightening the veterinary field, basic information and new findings on procalcitonin has been reviewed once more, although, quite a few studies have been conducted on procalcitonin in domestic or farm animals. The findings show that production and kinetics of procalcitonin in animals may be quite different, in both of the normal or pathologic conditions. It is not yet used as a biomarker in veterinary medicine. In addition, it has not yet been investigated whether it has an effect on reducing the antibiotics usage in animals.
The Effects of the 2012 Spanish Law Reform to Protect Mortgage Debtors

ABSTRACT We examine the effects of the legal reform passed in 2012 in Spain to protect mortgage debtors. Under the new regime, it is difficult for low-income debtors who meet certain requirements to be evicted. In the case of default, the bank is forced to offer the debtor a restructuring of the debt, or the debtor can even, as a last resort, transfer the property to the bank as an alternative to having the lender foreclose on it, thus being allowed to stay in the property as a tenant and paying a reduced rent, and avoiding eviction even after foreclosure. We consider quarterly data from 50 Spanish provinces (NUTS III regions) from 2001 to 2019(Q3). We use panel data models with regional, year, and quarter fixed effects, linear and quadratic region-specific time trends, and other relevant control variables at the regional level (house prices, inflation, and unemployment rates), and our results reveal that the reform significantly reduced the number of foreclosures, but that this effect was transitory, fading 6 years after the reform. However, the negative effect on the mortgage loans market was permanent throughout the period under consideration.
Whole genome linkage disequilibrium and effective population size in a coho salmon (Oncorhynchus kisutch) breeding population

The estimation of linkage disequilibrium between molecular markers within a population is critical when establishing the minimum number of markers required for association studies, genomic selection and for inferring historical events influencing different populations. This work aimed to evaluate the extent and decay of linkage disequilibrium in a coho salmon breeding population using ddRAD genomic markers. Linkage disequilibrium was estimated between a total of 7,505 SNPs found in 62 individuals (33 dams and 29 sires) from the breeding population. The makers encompass all 30 coho salmon chromosomes and comprise 1,655.19 Mb of the genome. The average density of markers per chromosome ranged from 3.45 to 6.11 per 1 Mbp. The minor allele frequency averaged 0.20 (with a range from 0.08 to 0.50). The overall average linkage disequilibrium among SNPs pairs measured as r2 was 0.054. The Average r2 value decreased with increasing physical distance, with values ranging from 0.37 to 0.054 at distances lower than 1 kb and up to 10 Mb, respectively. An r2 threshold of 0.1 was reached at distance of approximately 1.3 Mb. Chromosomes Okis05, Okis15 and Okis28 showed high levels of linkage disequilibrium (> 0.20 at distances lower than 1 Mb). Average r2 values were lower than 0.1 for all chromosomes at distances greater than 4 Mb. Linkage disequilibrium values suggest that whole genome association and selection studies could be performed using about 75,000 SNPs in aquaculture populations (depending on the trait under investigation). From the identified SNPs, an effective population size of 100 was estimated for the population 10 generation ago, and 1,000, for 139 generations ago. Based on the extent of r2 decay, we suggest that at least 75,000 SNPs would be necessary for an association mapping study. Over 100,000 SNPs would be necessary for a high power study, in the current coho salmon population.
Increased pericarp cell length underlies a major QTL for grain weight in hexaploid wheat

Crop yields must increase to address food insecurity. Grain weight, determined by grain length and width, is an important yield component, but our understanding of the underlying genes and mechanisms is limited. We used genetic mapping and near isogenic lines (NILs) to identify, validate and fine map a major quantitative trait loci (QTL) on wheat chromosome 5A associated with grain weight. Detailed phenotypic characterisation of developing and mature grains from the NILs was performed. We identified a stable and robust QTL associated with a 6.9 % increase in grain weight. The positive interval leads to 4.0 % longer grains, with differences first visible twelve days post fertilization. This grain length effect was fine-mapped to a 4.3 cM interval. The locus also has a pleiotropic effect on grain width (1.5 %) during late grain development that determines the relative magnitude of the grain weight increase. Positive NILs have increased maternal pericarp cell length, an effect which is independent of absolute grain length. These results provide direct genetic evidence that pericarp cell length affects final grain size and weight in polyploid wheat. We propose that combining genes which control distinct biological mechanisms, such as cell expansion and proliferation, will enhance crop yields.
EXISTENCE, REGULARITY AND POSITIVITY OF GROUND STATES FOR NONLOCAL NONLINEAR SCHRÖDINGER EQUATIONS

We study ground states of a nonlinear Schrödinger equation driven by the infinitesimal generator of a rotationally invariant Lévy process. The equation includes many special cases such as classical Schrödinger equations, fractional Schrödinger equations and relativistic Schrödinger equations, etc. It is proved that the equation possesses ground states in a suitable space of functions, then the regularity of solutions to the equation is examined, in particular, any solution is Hölder continuous, and, if the process involves diffusion terms, any solution is twice differentiable further. Finally, we show that any ground state is either positive or negative.
SOCIAL MEDIA REVOLUTION AND ITS INFLUENCE ON CONTEMPORARY WRITING SKILLS: AN EMPIRICAL STUDY OF WHATSAPP USAGE AMONG THE UNDERGRADUATE STUDENTS OF THE UNIVERSITY OF GHANA

The study examined WhatsApp and the development of writing skills of undergraduate students of University of Ghana. The objectives of the study were to ascertain how School of Communication Studies students currently use WhatsApp, to examine whether they want to use WhatsApp to develop their writing skills, to investigate the relationship between WhatsApp and writing skills of students and to discover if WhatsApp affects their writing skills positively or negatively. Three theories were used in relation to this study namely: The Uses and Gratification theory, Connectivism theory and Diffusion of Innovation theory. The nature of the study was quantitative. The main instrument for data collection was the questionnaire. Purposive sampling technique was adopted to ensure that students chosen have relevant knowledge towards the study with a sample size of 250 respondents. The discussions of the findings indicated improvements in writing skills of students, but students said their intention to use WhatsApp is not meant for developing writing skills. Evidently, WhatsApp is a tool that can enhance the writing skills of the students if used positively. The study found that Whatsapp has impacted negatively on the writing skills and academic performance of students in the School of Communication Studies, University of Ghana. The researcher recommends that lecturers use the WhatsApp tool to help students better their writing skills and also use it for discussion of other academic work.
Prediction of Type-2 Diabetes Foot Ulcer - A Comparative Study with Classification Algorithm

This research paper focuses upon the study of foot ulcer-diabetic data and implement various classification algorithms on different kinds of medical datasets of foot ulcer-Diabetic to evaluate its comparative performance. Performance analysis records the most frequently used algorithms on respective medical datasets and most efficient classification algorithm to analyze the foot ulcer-Diabetic disease based on the comparative study between C4.5 and SVM on high dimensional datasets. The scope of research work is aimed at predicting diabetics for foot ulcer patients by comparing various classification algorithms.
Challenges Experienced on Implementing Government Strategies to Revive Manufacturing Companies in Zimbabwe during the Period 2009 to 2017

The study examined the challenges that caused STERP, ZIMASSET and Statutory Instrument 64 to fail to revive the manufacturing sector in Zimbabwe during the period 2009 to 2017. An interpretivism paradigm was adopted in order to generate a lot of data in the field and from the site where participants experienced the problem. The study used a multiple case study design involving 20 manufacturing companies operating in Zimbabwe which facilitated a holistic and in-depth investigation of the challenges that affected the effectiveness of the above policies to produce tangible results. The study unearthed that the major challenges that affected STERP, ZIMASSET and Statutory Instrument 64 are the instability of the political climate, massive mismanagement of manufacturing companies, lack of qualified personnel to lead the manufacturing companies, inconsistent government policies and lack of funding to ensure the success of the policies. Hence, a holistic approach is recommended in order for the policies implemented to be
An Accurate CNN Architecture For Atrial Fibrillation Detection Using Neural Architecture Search

The accurate and timely diagnosis of Atrial Fibrillation (AF), a common condition presenting as an abnormal heartbeat that often results in serious disease, would assist in reducing morbidity. In this study, we make use of Electrocardiogram (ECG) data in order to create an automatic method for detecting AF. For this purpose, we employed a neural architecture search (NAS) algorithm. The efficiency of NAS algorithms on image classification tasks has been well established, however, studies on using NAS methods for ECG classification are very limited. Our experiments show that our automatically designed neural model performs very well and arguably outperforms currently available deep learning models. This model achieved the accuracy and F1-score of 84.15%± 0.6 and 82.45± 0.2 on the publicly available subset of PhysioNet challenge 2017 dataset, respectively.
Human recombinant antibodies against Mycobacterium tuberculosis antigens

Tuberkulose (TB) ist immer noch eine Bedrohung fur die offentliche Gesundheit. Die Diagnose von TB ist haufig teuer oder zeitaufwendig. Der Gebrauch von rekombinanten Antikorpern (AK) zur direkten Detektion von M. tuberculosis (Mtb) Antigenen in humanen Proben konnte einen simplen TB Schnelltest ermoglichen. Eine mannigfaltige Serie von Antigenen wurde fur diesen Zweck untersucht, einschlieslich 16 kDa, ESAT-6, CFP-10, LAM, AlaDH, 85 A, 85 B und 85 D. Zweiundzwanzig rekombinante AK gegen 16 kDa, CFP-10, 85 A, 85 B und 85 D wurden mittels Panning von humanen naiven Phagendisplaybibliotheken generiert. Ein rekombinanter a-LAM AK wurde generiert durch Isolierung der variablen Gensegmente der IgM kodierenden Sequenzen eines Hybridoms. Diese AK wurden als scFv aus E. coli oder als scFv-Fc (scFab-Fc) aus HEK293-6E Zellen aufgereinigt und detailliert charakterisiert. Der a-LAM AK war nur als multivalenter scFab-Fc produzierbar. Sieben AK zeigten eine bevorzugte Genkombination gegen das 16 kDa Antigen. Ein Sandwichnachweis von 16 kDa und CFP-10 war nicht moglich. Spezifische AK gegen 85 A, 85 B und 85 D konnten isoliert werden, die erstmals eine Unterscheidung individueller Komponenten des 85 Komplexes ermoglichen. Weiterhin war der Sandwichnachweis von rekombinantem 85 A oder 85 B moglich, wobei eine multimere Antigenkonformation die Erkennung verbesserte. Das Fehlen von Multimeren reduzierte die Bindung auf ein Minimum. Ein Sandwichnachweis von Mtb Proben war nicht moglich, jedoch konnte ein funktionaler a-85 B Immunoblottest entwickelt werden. Insgesamt wurden eine Vielzahl von AK generiert mit Potential fur die weitere Entwicklung eines TB Schnelltests, fur die Verwendung in der Infektionsforschung, fur die Medikamentenentwicklung oder zur passiven Immunisierung.
MANAGING THE COST OF UNUSED CAPACITY: AN INTEGRATIVE AND COMPARATIVE ANALYSIS OF THE ABC, TABC AND UEP METHODS

Costing systems play a key role in the process of measuring and understanding idle capacity. However, costing models and systems have gaps and shortcomings that need to be overcome in order to achieve this objective. Sophisticated costing methods such ABC (Activity-Based Costing), TDABC (Time-Driven Activity Based Costing) and UEP (Production Effort Units) might be good approaches to give answers to this question. In a complementary basis or combined, these methods can be a very valuable framework to deal with the problem of unused capacity. In this research project, the three methods were used to compute the unused capacity properly.
REMOVAL OF PHENOL FROM INDUSTRIAL WASTEWATER EFFLUENT BY USING HYDRODYNAMIC CAVITATIONS

Phenol and phenolic compounds are common organic contaminants in air and wastewater, which are released into the environment from various industrial activities such as petrochemical and pharmaceutical processes. Phenol is classified as hazardous pollutants because of its potentials harm to human health. Thus, the removal of phenolic compounds from wastewater is very much essential. The industrial effluent which is handled contains hazardous chemicals like phenol etc. which make the water toxic and increase its COD by 60000-70000 mg/liter. For the eco-friendly discharge of this effluent, this effluent must be treated and the COD value must be reduced. So, the removal of phenol from effluent is studied by hydrodynamic cavitation. Hydro-dynamic cavitation is a very efficient and convenient method of separation. In which pressure is varied by passing the liquid through a specified geometry of construction such as orifice plate and venturi. This method is preferred over all other methods because it is one of the cheapest energy efficient method and scales up of the method is easy.
Forwarding and Routing With Packet Subscriptions

In this paper, we explore how programmable data planes can naturally provide a higher-level of service to user applications via a new abstraction called packet subscriptions. Packet subscriptions generalize forwarding rules, and can be used to express both traditional routing and more esoteric, content-based approaches. We present strategies for routing with packet subscriptions in which a centralized controller has a global view of the network, and the network topology has a hierarchical or general structure. We also describe a compiler for packet subscriptions that uses a novel BDD-based algorithm to efficiently translate predicates into P4 tables that can support O(100K) expressions. Using our system, we have built eight diverse applications. We show that these applications can be deployed in brownfield networks while performing line-rate message processing, using the full switch bandwidth of 6.5Tbps.
ISOLATION OF GREEN BIOREDUCTANTS FROM TWO PLANT SOURCES AND EVALUATION OF REDUCING ABILITY BY FREE RADICAL SCAVENGING ASSAYS

Green chemistry approaches are popular in synthesising metal oxide nanomaterials due to benignness in terms of human and environmental toxicity. Phytocompounds potentially reduce metal ions in to their respective nanoparticles. In this study, we isolated two bioreductants, punicalagin and gallic acid from Punica granatum peel and Emblica officinalis fruit respectively using previously designed methods. Isolated phytocompounds were analysed using High Performance Liquid Chromatography to qualify isolates. To assay their reducing ability 2, 2 diphenyl 1 picrylhydrazyl assay and hydrogen peroxide reduction assay were performed. Results of HPLC analysis showed that punicalagin had similar retention time as that of standard (17.5 min) with lesser intensity HPLC peak. Gallic acid from E officinalis had retention time (2.5 min) and intensity similar to its standard. Gallic acid showed a higher antioxidant activity against both free radicals compared to punicalagin isolate. Gallic acid showed an activity of 76% and 64% against DPPH and H2O2 respectively at highest tested concentration of 0.2 mg/mL. Punicalagin showed 61% and 64% inhibition against DPPH and H2O2. From this study, authors conclude that isolated phytocompounds are good candidates as bioreductants in synthesis of nanomaterials and if their shelf life is extended they will be good alternatives to chemical reductants.
EVALUATION OF ENZYMATIC AND NON-ENZYMATIC ANTIOXIDANTS OF OSCILLATORIA TEREBRIFORMIS

Received: 15-09-2014; Revised; Accepted: 06-10-2014 EVALUATION OF ENZYMATIC AND NON-ENZYMATIC ANTIOXIDANTS OF OSCILLATORIA TEREBRIFORMIS S. Mukund*, S. M. Muthukumaran , R. Ranjithkumar, V. Sivasubramanian Department of Plant Biology and Plant Biotechnology, RKM Vivekananda College, Chennai, India.
A COMPARATIVE STUDY OF DIFFERENT TEXT MINING METHODS

-In many applications database stores information in text form so text mining is the one of the most resent area for research. To extract user required information is the challenging issue. Text Mining is an important step of knowledge discovery process. Text mining extracts hidden information from not-structured to semi-structured data. Text mining is the detection by mechanically mining info from dissimilar written capitals and also by computer for mining new, formerly unknown information. This survey paper attempts to cover the text mining techniques and approaches that solve these tests. In this survey paper we deliberate such fruitful techniques and methods to give efficiency over info recovery in text mining. The types of circumstances where each skill may be valuable in order to assistance users are also deliberated. The text analytics describes a set of linguistic, statistical and machine learning techniques.
On the parameterization of acoustic detection probability models

Methods that aid in understanding the variation in the detection probability in acoustic telemetry can aid proper interpretations of data derived using such systems. In their recent paper, Huveneers et al. (Methods in Ecology and Evolution, 7, 825‐835, 2016) claim that a general detection probability model (Gjelland & Hedger, Methods in Ecology and Evolution, 4, 665–674, 2013) does not have the intended applicability across systems. However, Huveneer et al. applies predictions for a shallow freshwater application to results from a much deeper marine application, which is an invalid use of acoustic theory and the proposed general model. Users of acoustic telemetry are encouraged to acknowledge how environmentally induced variation in the acoustic attenuation coefficient influences the detection probability, because an understanding of this will aid prediction of how acoustic telemetry systems will work under various environmental conditions. Models used for predictions must be appropriately parameterized. Proper incorporation of spatiotemporal variation in acoustic detection probability may help reduce effects of environmentally induced biases in detection data. We challenge scientists to make further contributions to how acoustic theory can be incorporated in the modelling of detection probability in acoustic telemetry.
A fiber optic probe for thermal therapy

We demonstrate a novel fiber optic device for controlled generation of photothermal effects. The fiber probe is pumped by a laser diode and incorporates polymer composites allowing to generate highly localized heat and obtain temperature measurements simultaneously. We analyze the temperature field in the vicinity of the device through computer simulations and these are validated with experimental measurements. Keywords—Optical fiber devices, optical fiber sensors, photoactive polymers, thermal therapy.
ZO 140 / 13 , Funding Period 01 . 01 . 2014 – 30 . 06 . 2020 )

Infeed rotary swaging is an appropriate cold massive forging technology for the manufacture of cylindrical shaped components made of iron or aluminum base alloys. The process is focused on reducing the cross-section of full profiles or tubes and is e.g. widely used in automotive industry. The design of swaged hollow components can easily be adapted to the external load in such a way, that the wall thickness is partially reduced and the material cross-section is increased where needed. The above-mentioned advantages result in a high potential for light-weight production while the produced components exhibit high geometric accuracy and surface quality. However, an excellent CO2 balance is yet limited due to high demands for lubricants significantly increasing the number of process steps for further component refinement.
Heat accumulation effects on efficiency during laser drilling of metals

Pulsed laser materials processing with pulse durations <10 ps might lead to direct sublimation or evaporation of the material resulting in very small thermal damage. However, it was shown that for Cu, Mg, Au, and Si the thermal load might be significant even for 60 fs pulses. The thermalized energy after the ablation process which remains within the material normalized by the applied energy is the so called "residual heat". The residual heat in multi-pulse processing of different materials with ultrashort pulses was investigated at low repetition rates for Al, Zn, and Pt and under influence of different environment. As multi-pulse processing is gaining importance in the industry, recent studies of the effects of residual heat concentrated on the processing of steel with respect to heat accumulation at higher repetition rates. Results of residual heat measurements during laser drilling of steel sheets of up to 1.5 mm thickness are discussed in the following. The pulse duration of the laser system was 10 ps, the repetition rate was varied in the range from 10 kHz to 300 kHz at constant pulse energy.