Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactive Class-Diagram Generation and Abstraction

Developing software systems depend on a good overview. Creating such an overview manually is a lengthy task and the resulting overview generated by tools often contains too much information, causing more confusion than clarity. In order to gain a more suitable view on the system, unnecessary information could be hidden using abstraction techniques. However, a static decision on which data the user desires to be visible or not is not trivial for a machine as it depends on the user’s current focus. In this thesis, we will discuss techniques of calculating a layout which takes the relation of classes into account, namely the force directed layout. The proposed prototype modifies the positioning algorithm in order to prevent node-overlapping. Furthermore, this thesis introduces structured elements, which are recursive, visual and logical containers for the basic class nodes. The prototype is interactive and has capabilities to increase visual clarity. These capabilities include collapsing, expanding, highlighting and temporarily removing a set of nodes in or from the current graph. On any structural change the positioning algorithm relayouts the graph, providing a layout as similar as possible to the old one.
Food Grain Production in Pakistan: Influencing Factors and Future Outlook

The present study focuses on the influencing factors of food grain production and forecasting of food grain production in Pakistan. To this end, time series data from the year 1980 to 2014 has been used taken from Pakistan Economic Survey. Augmented Dickey Fuller (ADF) test has been used to check the stationarity of the time series data while the food grain production function has been estimated using Regression model. Furthermore, ARIMA model have been used for forecasting the food grain production up to 2030. The results show that the main determinant for food grain production in Pakistan are area under food grain, credit disbursement, agriculture employment and fertilizer off-take. The forecasting results showed that food grain production has an increasing trend over the study horizon. The food grain production may further be increased through bringing more under cultivation, disbursing more agricultural credit and properly utilizing the fertilizer which will help in ensuring food security and coping with the growing demand of the economy.
Gamifying Student Routines to Improve Campus Experience Through Mobile Application in Indonesia

Smart campus is an emerging concept in recent years that enables as a part of the smart city movements which leverages the use of information technology in building a comprehensive and sustainable living environment. Several campuses in Indonesia and abroad have already started the movement and integrate the colleges’ data and provide a digital experience for the campus communities. In order to motivate the communities, in this case the students, to leverage IT tools and platforms to improve their learning experiences, utilizing gamification and mobile technologies are seen to be the suitable combinations. Gamification as a concept to enhance user participation is also gaining a lot of tractions in recent years, including in the higher education sector. Many researches have shown that gamification is effective to improve motivations in core learning activities, to push students to be more proactive in gaining knowledge. This research is conducted to integrate a new mobile application to the existing smart campus platform in Universitas Multimedia Nusantara, Indonesia, while also gamify several student routines and activities to enhance the campus experience. The system is built as a hybrid mobile application and evaluated for its user acceptance by analyzing its users’ perceived usefulness and perceived ease of use which are derived from the technology acceptance model (TAM). Based on the feedbacks gathered from the users, the gamified system is perceived to be easy to use and useful to increase student’s participation and to motivate the users to actively complete their campus routines.
ROUTINE DIVISIONS SEGREGATION AND DAILY LIFE IN NORTHERN IRELAND

In September 2008 the Institute for Conflict Research (ICR) published the findings of a seventeen-month research study funded by the Community Relation’s Council through the European Special Support Programme for Peace and Reconciliation (Hamilton et al, 2008). The primary aim of the research was to analyse the ways and means that sectarianism and segregation are sustained and extended through the routine and mundane decisions that people make in their everyday lives. This paper summarises some of the key aspects and outcomes of this research. The paper begins with a brief introductory overview of the aims and objectives of the study, and offers a brief review of the wider theoretical and methodological context of the research. The second part of the paper focuses on methodological issues involved in researching issues related to sectarianism and segregation, it discusses some of the methodological approaches utilised in the research and analyses some of the challenges encountered by the researchers during the course of the study. Finally the third second part of the paper presents some of the key findings which have been generated from the overall study and which highlights something of the developing nature of sectarianism and segregation in Northern Ireland ten years after the signing of the Agreement.
Nanoformulations as Drug Delivery Vehicles for Cancer Treatment

that improve the nanoparticles specificity include folate, antibodies, aptamers, and the tripeptide Arg-Gly-Asp (RGD) [16]. The use of nanotechnology in cancer treatment offers some exciting possibilities, including the possibility of destroying cancer tumors with minimal damage to healthy tissue and organs, as well as the detection and elimination of cancer cells before they form tumors. In this section, we discussed the major nanoparticle platforms used as drug delivery systems for the treating the cancer.
Review of dynamic effects and reliability of depletion and enhancement GaN HEMTs for power switching applications

GaN-based transistors are promising devices for power switching applications, but their unique properties require careful design of the circuit in order to achieve the best performance and reliability. The first part will focus on the characterisation of deep-level effects in enhancement- and depletion-mode HEMTs, which limit the performance of the transistor. Threshold voltage instabilities in MIS-HEMT structures, caused by charge trapping under the gate, and their dependence on SiN acting as the gate dielectric will be reviewed. ON-resistance increase, caused by charge trapping in the gate-drain access region, will then be discussed in normally off gate injection transistors, as well as the effect of the switching frequency on the trapping-de-trapping equilibrium condition. The second part of the paper will discuss possible failure modes related to operating conditions, starting with the oxidation of the surface and the inverse piezoelectric effect at high gate-drain voltage. To have a complete picture of high-field effects, the gate dielectric and passivation robustness will be investigated. Time-dependent degradation will then be analysed in both gate reverse and forward-bias conditions. Finally, failures related to off-state stress and to power dissipation and electric field during an ESD event in AlGaN/GaN-HEMTs will be discussed.
Epidemiology Lower limb function and 10-year survival in population aged 75 years and older

Background. Scientific societies recommend assessing lower limb function in usual clinical practice. The Short Physical Performance Battery (SPPB) is one of the most validated tools to assess this, but its capacity to predict long-term mortality in very old population attending primary care has not been studied. Objective. To assess the ability of the SPPB to predict 10-year survival in individuals aged 75 and over. Methods. Prospective cohort study with a 10-year follow-up. A representative sample of people aged 75 years or older without severe dependence (Barthel Index > 20) treated at a Spanish primary care centre ( n = 315). Baseline evaluation included geriatric assessment with most well-known death predictors. The three SPPB subtasks (standing balance, walking speed and chair stand tests) were administered. Kaplan–Meier curves and Cox proportional hazard models were calculated for all-cause mortality. Results. Mean age was 81.9 years (60.6% female). Ten-year survival of elders with SPPB score <7 and ≥7 was 0.23 and 0.37 ( P < 0.001), respectively. This difference remained statistically significant in the Cox model adjusted by age, gender, number of drugs prescribed, cognitive status, body mass index and visual sharpness (adjusted hazard ratio = 1.37; 95% confidence interval: 1.01–1.86). Also, walking speed and chair stand subtasks were both individual-independent predictors of 10-year survival. Conclusions. Our findings indicate that SPPB is an independent predictor of long-term survival. The chair stand subtask could be a predictor as useful as the full performance battery, becoming a good alternative for primary care where the burden of performing all three subtasks could be excessive.
Prediction of Natural Calamities Using Segregated Satellite Images

- Big data is the domain where most recent works are going on.The real time applications which handles huge amount of data can be implemented and analysed using Big data techniques. Accounting remote sensing application the satellite images are collected, Preprocessed and segregated into images of Land ,Sea, Ice. The existing architecture contains Remote Sensing Big data Acquisition Unit(RSDU), Data Processing Unit(DPU), Data Analysis and Decision Unit(DADU) supports only segregation and storage of images. Thus further analytical process on these segregational images is needed to predict the Natural calamities like Tsunami, Earthquake and Fire detection. The proposed system is reliable and fault tolerant when compared to the existing systems as it collects the data from the user to predict the interest and analyses the item to find the features. The system is also adaptive as it updates the list frequently and finds the updated interest of the user.
Magnetic Fibers

The magnetic sensors based on soft magnetic effects of amorphous fibers are one of the highlights in scientific research in recent years. The amorphous fibers not only have excellent mechanical properties but also have unique magnetic properties, such as high permeability. As a result, sensors made of this kind of material can show the characteris tics of sensitivity and durability. The processing and their advantages and disadvantages are mainly introduced in the chapter, and the properties reported in recent years are also summed up, including mechanical behavior, magnetic properties and shape-memory effects.
Profile of blood of weaner boars fed Tetrapleura tetraptera pod pulp meal

A study was conducted to determine the effect of Tetrapleura tetraptera pod pulp meal on haematology, red blood cell osmotic fragility and serum chemistry values of weaned boars. A total of 18 weaner boars of Large White x Duroc crossbreeds, aged 6 weeks and weighing 9.4kg on the average, were used for the study, which lasted 56 days. The piglets were divided into 3 equal groups, each of which were assigned 0.0%, 2.5% or 5.0% TPM per kg, respectively, of a basal weaner pig diet, in a completely randomized design. Data sets were collected on haematology, serum chemistry and lipid profile. Red blood cells (6.74, 6.03, 12 5.57) x 10 /l, packed cell volume (46.33, 39.33, 37.35) %, haemoglobin concentration 9 (13.77, 11.43, 10.37) g/L and the platelet counts (37.90, 33.97, 33.83) x 10 /L were significantly lower (P<0.05) in the sera of boars fed TPM than in those fed zero TPM. Mean cell haemoglobin and mean cell haemoglobin concentration were significantly (P<0.05) lowered by addition of TPM in a dose-dependent fashion. Addition of TPM increased the fragility of the erythrocytes in sodium chloride solution of varying concentrations. Serum glucose increased progressively (P<0.05) with increase in TPM. Albumin was significantly reduced only at 5.0% TPM while globulin and urea were reduced (P<0.05) at both levels of TPM. Total protein and ALT were significantly reduced with increase in TPM. HDL was progressively lowered (P<0.05) with addition of TPM while the reverse was the case with LDL. VLDL and TG were significantly increased only at 5.0% TPM. It is concluded that TPM depressed the haematological indices, compromised the stability of the erythrocytes even in normal saline solution, reduced serum albumin, globulin, total protein, ALT and HDL but increased serum glucose, LDL, VLDL and TG. dose-dépendante. L'ajout de TPM a augmenté la fragilité des érythrocytes dans une solution de chlorure de sodium de concentrations variables. La glycémie a augmenté progressivement (P<0,05) avec l'augmentation de la TPM. L'albumine n'était significativement réduite qu'à 5,0 % de TPM tandis que la globuline et l'urée étaient réduites (P < 0,05) aux deux niveaux de TPM. La protéine totale et l'ALT ont été significativement réduites avec l'augmentation de la TPM. Le HDL a été progressivement abaissé (P<0,05) avec l'ajout de TPM alors que l'inverse était le cas avec le LDL. Les VLDL et les TG n'ont augmenté de manière significative qu'à 5,0 % de TPM. Il est conclu que le TPM a diminué les indices hématologiques, a compromis la stabilité des érythrocytes même dans une solution saline normale, a réduit l'albumine sérique, la globuline, les protéines totales, l'ALT et le HDL mais a augmenté le glucose sérique, le LDL, le VLDL et le TG. tetraptera
Wireless Transformer Parameter Measurement and Protection

: This paper is focused on a device used for measurement of transformer parameters through wireless system, which has in built step-down transformer with voltage and frequency and measurement circuit for measuring input voltage and frequency of a transformer. This paper will aim to monitor the different parameters like voltage, frequency, temperature, oil level in the transformer tank and also protect the transformer from overload and high voltage and use of GSM module for transmitting the data through wireless media. Initially 230 v ac mains supply is stepped down into 12v ac through 12-0-12 step down transformer and then its output given to frequency and voltage measurement circuit and at end these measurement data output is feed to microcontroller for processing [2]. All these parameter are sending through GSM module. Here we using P89V51RD2 microcontroller for processing information. 8051 architecture based P89V51RD2 microcontroller from NxP is used, which controls the whole system [1]. It contains 1k RAM, 64k Flash, 3 Timers, 2 external interrupts, 1 UART, 32 GPIO’s, ISP programming support etc. KEIL IDE is used to program the microcontroller and the coding will be done using Embedded C. GSM module is used to send SMS to the required GSM mobile. This module is programmed using AT commands through UART. Monitoring of Transformers data related to various parameters, predict and prevent the failure of transformer by observing deviation of the transformer parameters expected values [4]. Transformers are the most critical assets of
Classes of non‐resonating‐node lowpass prototype networks suitable for realisation as evanescent‐mode waveguide bandpass filters

This work presents four classes of lowpass prototype networks comprising non-resonating-nodes (NRNs) realising generalised elliptic function transfer characteristics. Each class of networks can realise a maximum of ( N - 2) finite-frequency transmission zeros where N is the total number of the resonators in the network. The distinct feature pertinent to the proposed classes of networks is that they can be sub-classed into two types: type I networks have positive frequency-invariant elements (FIEs) located at the NRNs, and type II networks have negative FIEs located at the NRNs. type I networks are particularly suitable for the realisation as evanescent-mode waveguide (EMW) bandpass filters which is the main subject of this work, whereas type II networks could be realised as waveguide bandpass filters operating above the cut-off of the guide. Numerical examples of the four classes of the proposed networks are presented. The proposed circuit concepts are validated through the realisation of two classes of filters in EMW technology created utilising computer simulation technology (CST) microwave studio. The electrical performance of the CST filter structures and their circuit counterparts are in close agreement.
16S rRNA Gene-Based Detection of Tetrachloroethene-Dechlorinating Desulfuromonas and Dehalococcoides Species

Members of the genera Desulfuromonas and Dehalococcoides reductively dechlorinate tetrachloroethene (PCE) and trichloroethene. Two primer pairs speciﬁc to hypervariable regions of the 16S rRNA genes of the Dehalococcoides group (comprising Dehalococcoides ethenogenes and Dehalococcoides sp. strain FL2) and the acetate-oxidizing, PCE-dechlorinating Desulfuromonas group (comprising Desulfuromonas sp. strain BB1 and Desulfuromonas chloroethenica ) were designed. The detection threshold of a nested PCR approach using universal bacterial primers followed by a second PCR with the Desulfuromonas dechlorinator-targeted primer pair was 1 3 10 3 BB1 cells added per gram (wet weight) of sandy aquifer material. Total community DNA isolated from sediments of three Michigan rivers and six different chloroethene-contaminated aquifer samples was used as template in nested PCR. All river sediment samples yielded positive signals with the BB1- and the Dehalococcoides -targeted primers. One chloroethene-contaminated aquifer tested positive with the Dehalococ- coides -targeted primers, and another contaminated aquifer tested positive with the Desulfuromonas dechlori-nator-targeted primer pair. Restriction fragment analysis of the amplicons could discriminate strain BB1 other known Desulfuromonas species. Microcosm studies conﬁrmed the presence of PCE-dechlorinating, ace-tate-oxidizing Desulfuromonas and hydrogenotrophic Dehalococcoides species in samples yielding positive PCR signals with the speciﬁc primers. the speciﬁc primers: for 3 min (1 cycle); s, 58°C for for min cycles); 72°C for 7 min cycle). Annealing ranging from 48 to 68°C a temperature of 58°C reproducible ampliﬁcations of the 16S rDNA sequences of the target For nested PCR, the initial ampliﬁcation performed with a pair of E. rRNA positions
Bio sorption of Hexavalent Chromium from Aqueous Solution Using Immobilized Rhizopus Oryzae (MTCC 262)

- Now a days environmental pollution is the major concern specialty heavy metals discharged from different industrial waste stream. There are different conventional methods for metal removal from aqueous stream like evaporation, ion-exchange, precipitation, solvent extraction etc. But due to some limitations of these methods currently biosorption methods are promising for metal removal. Application of immobilized biomass gaining milage emphasis to overcome limitations of free biomass. In this study CMC immobilized Rhizopus oryzae was used for optimization of different parameters like, cell mass concentration, matrix concentration, bead size, temperature, pH, time etc. Biosorption isotherm, metal removal kinetics were also studied. To establishe the role of different functional groups present on the cell surface FTIR and SEM study were done.
Optimization technique to linear discriminant regression for face recognition

To improve the robustness of the linear regression model number of improvements have been made working on the different databases, the main aim of this paper is to show how an optimization algorithms improves the efficiency of linear discriminant regression methods and performance is evaluated, The features are extracted using Active Appearance Model then the classification is done via linear collaborative Discriminant regression classification (LCDRC) model Proposed by Xiaochao Qu. In the LCDRC classifier, the most important evaluation is projection matrix that might get multiplied to the features while classification. In order to select the optimal projection matrix, this paper proposes a improved whale optimization technique, which is the Enhanced form of Whale Optimization Algorithm (WOA). The proposed face recognition model compares its performance over other conventional methods by varying the regularization constant value from0.5 to 2.5 and performance is taken in terms of measures like Accuracy, Specificity, Sensitivity, Precision, Negative Predictive Value (NPV), F1Score and Matthews Correlation Coefficient (MCC), False positive rate (FPR), False negative rate (FNR) and False Discovery Rate (FDR),and the efficiency by varying the regularization constant and the effectiveness of this model is proven.
How socio-economic inequality affects individuals’ civic engagement: a systematic literature review of empirical findings and theoretical explanations

Rising socio-economic inequality in many countries raises the question of how it affects individuals’ civic engagement in the forms of charitable giving, volunteering and non-profit membership. Though a growing body of multidisciplinary literature has started to address this issue, empirical results vary considerably and explanations about what underlies this relationship remain fragmentary. We thus conduct a systematic literature review to (a) provide a synopsis of empirical findings and (b) identify theoretical explanations and presumed mediating mechanisms underlying this relationship. Reviewing 70 studies, we find that higher inequality is most often negatively related to civic engagement, and that this relation is moderated by individual factors, for example, income and education. Furthermore, we map the pro- posed theoretical explanations into five key approaches. For each of these, we trace and identify the underlying mechanisms at both the societal and the individual level, and provide a conceptual framework that facilitates their empirical analysis in future. words:
A statistical standard siren measurement of the Hubble constant from the LIGO/Virgo gravitational wave compact object merger GW190814 and Dark Energy Survey galaxies

We present a measurement of the Hubble constant H 0 using the gravitational wave (GW) event GW190814, which resulted from the coalescence of a 23 M (cid:12) black hole with a 2.6 M (cid:12) compact object, as a standard siren. No compelling electromagnetic counterpart has been identiﬁed for this event, thus our analysis accounts for thousands of potential host galaxies within a statistical framework. The redshift information is obtained from the photometric redshift (photo- z ) catalog from the Dark Energy Survey. The luminosity distance is provided by the LIGO/Virgo gravitational wave sky map. Since this GW event has the second–smallest localization volume after GW170817, GW190814 is likely to provide the best constraint on cosmology from a single standard siren without identifying an electromagnetic counterpart. Our analysis uses photo- z probability distribution functions and corrects for photo- z biases. We also reanalyze the binary–black hole GW170814 within this updated framework. We explore how our ﬁndings impact the H 0 constraints from GW170817, the only GW merger associated with a unique host galaxy. From a combination of GW190814, GW170814 and GW170817, our analysis yields H 0 = 72 . 0 + 12 − 8 . 2 km s − 1 Mpc − 1 (68% Highest Density Interval, HDI) for a prior in H 0 uniform between [20 , 140] km s − 1 Mpc − 1 . The addition of GW190814 and GW170814 to GW170817 improves the 68% HDI from GW170817 alone by ∼ 18%, showing how well–localized mergers without counterparts can provide a signiﬁcant contribution to standard siren measurements, provided that a complete galaxy catalog is available at the location of the event.