Miracle-dz/UniFAR-FTUs huggingface dataset:
Sistem Rekomendasi Pertemanan berdasarkan Hobi menggunakan Metode Multicriteria Decision Making

Hobi pada tahun 1816 mulai dikenalkan hanya dalam kosakata di kalangan sejumlah orang inggris. Istilah hobi pada abad itu diartikan dengan waktu senggang. Namun pada saat ini, mempresentasikan hobi dapat dikategorikan menjadi untuk memenuhi hasrat semata , menambah pengetahuan dan mengembangkan ke dalam dunia bisnis. Media twitter adalah salah satu media pendukung yang sering digunakan banyak orang didalam mempresentasikan hobi seseorang, dengan melihat siapa yang diikuti dan berdasarkan tweet seseorang tersebut. Bisa diklasifikasikan bahwa orang tersebut dikategorikan memiliki hobi yang sama dengan orang lain. Rekomendasi hybrid filltering adalah metode pendukung didalam proses mendapatkan kelas kategori yang dimiliki oleh seseorang tersebut . Karena sebagian besar sebuah aplikasi yang sudah ada hanya mempresentasikan hobi kedalam aplikasi berupa isian form inputan saja. Dengan menggunakan algoritma naive bayes classifier menjadi solusi baru bagi penulis didalam mengklasifikasikan tweet yang dimiliki user masuk kedalam kategori kelas hobi. Dengan tambahan algoritma Multi-criteria decision making sebagi proses akhir didalam pengelolahan data lanjutan untuk mendapatkan hasil dan hasil tersebut rekomendasikan kepada user lain dengan kategori hobi yang sama. Sehingga user mendapatkan rekomendasi teman sesuai dengan hobi yang sama.
The Use of Trypsin to Prepare Skeletal Material for Comparative Collections with a Focus on Fish

Existen colecciones esqueléticas en museos y universidades por todo el mundo que no resultan de utilidad al zooarqueólogo debido a que no han sido adecuadamente preparadas. Ello es resultado de que los restos hayan sido frecuentemente procesados sobre el terreno. En este trabajo presentamos un método para preparar los huesos de los animales de menor tamaño que es rápido y eficiente y con un mínimo de requisitos específicos. El método fue diseñado para crear sobre el terreno colecciones de referencia de la fauna local. Tres objetivos fueron considerados: a) preparación de un material esquelético de alta calidad, b) minimizar los requisitos de instrumental especializado requerido para llevar esto a cabo y c) disponer de un procedimiento fácil fuera del laboratorio. El método nuevo desarrollado implica la maceración con el uso de la enzima tripsina. Este tipo de maceración es de muy fácil uso y ha proporcionado excelentes resultados tanto en el laboratorio como en el campo. Se ha utilizado para preparar esqueletos de micromamíferos, aves, reptiles, anfibios y muy especialmente peces.
The role of regional anesthesia in the postoperative analgesia in pediatric patients

Introduction/Objective. Pain is a disturbing experience associated with existing or potential tissue damage, with a sensory, emotional, cognitive, and social component. The aim of this study was to show the efficiency of regional anesthetic techniques in postoperative pain in children. Methods. The retrospective cohort study was conducted on a group of 564 pediatric patients during the period from 2013 to 2016. Types of regional anesthesia were classified into the following six groups: caudal, epidural, spinal block, upper limb blocks, lower limb blocks, and truncal nerve block. From statistical methods, we used descriptive statistical methods of absolute and relative numbers, measurements of variability, central tendencies for numerical features, and methods of inferential statistics. We used the ? 2 test for the attributive features of observations. Results. In relation to the postoperative time when an analgesic was required, a statistically significant difference was observed in the age of children (p = 0.000), disease diagnosis (p = 0.000), type of block (p = 0.000), type of local anesthetic (p = 0.000), and type of anesthesia or sedation preoperatively (p = 0.005). Conclusion. Postoperative analgesia was most needed by older children and children who were awake during surgery. Children with injuries and tumors need postoperative analgesia the earliest. The longest postoperative analgesia was recorded in patients who received caudal block. The longest postoperative analgesia can be seen in patients who received levobupivacaine, bupivacaine or levobupivacaine combined with lidocaine to perform the block.
Attention-guided channel to pixel convolution network for retinal layer segmentation with choroidal neovascularization

This paper introduces an attention-guided channel to pixel convolution network for a fully automatic segmentation of retinal layers with choroidal neovascularization from optical coherence tomography (OCT) images. The proposed framework, consists of two new strategies for retinal layers segmentation: Channel to Pixel Block and Attention block. To deal with the contrast reduction of adjacent retinal layers caused by choroidal neovascularization, we firstly design a Channel to Pixel Block to convert particular channels into pixels in one bigger feature map, followed by a convolution layer optimized by a novel edge loss. Faced with large morphological changes of retinal layers, the attention mechanism is then introduced to extract more context information. The proposed method was trained on augmented 1280 OCT images and tested on 384 OCT images with choroidal neovascularization. The experimental results showed that the proposed method outperformed the state-of-art methods for retinal OCT image segmentation.
An Efficient IoT-Based Platform for Remote Real-Time Cardiac Activity Monitoring

In this article, a novel and an efficient methodology is presented for real-time monitoring of ECG signals. The method involves fast Fourier transform (FFT) based discrete wavelet transform (DWT) for extracting the features from the heartbeats which involves less computational complexity in terms of additions and multiplications operations for higher order filter lengths. These features extracted are recognized using particle swarm optimization (PSO) tuned twin support vector machines (TSVM) classifier. The TSVM classifier is four times faster than the standard SVM while the PSO technique is employed to gradually tune the classifier parameters to achieve more accuracy. The proposed methodology is implemented on IoT based microcontroller platform and validated on the benchmark Physionet data to classify 16 categories of ECG signals. Once an abnormality is detected, the platform generates a pop-up message as a warning and sends the information to a remote platform allowing hospitals to take preventive measures. The platform reported a higher overall accuracy of 95.68% than the existing studies. Further, such implementation can be utilized as a warning system in both homecare as well as tele-monitoring applications to continuously monitor the cardiac condition of a subject anywhere to the state-of-art heart disease diagnosis.
Memristor Overview up to 2015

Until 1971, the known three fundamental electrical elementswere resistor, inductor, and capacitor. In 1971, Professor LeonChua proposed theoretically a fourth fundamental electricelement, and he called it “Memristor. ” Memristor is a twoterminal element whose resistance depends on the magnitude,direction, and duration of the applied voltage. This element isrealized later by HP labs in 2008, which opened a wide area ofresearch on the memristor and its possible applications. Thispaper gives an overview of the device properties, fabrication,modeling approaches of the memristor and some possiblefuture improvements. The paper also surveys the digital andanalog applications of memristors, and possible futureimprovements in some applications
Formulation and the characterisation of cationic liposomal adjuvants for the delivery of a promising subunit tuberculosis vaccine

Cationic liposomes of dimethyldioctadecylammonium bromide (DDA) incorporating the glycolipid trehalose 6,6-dibehenate (TDB) forms a promising liposomal vaccine adjuvant. To be exploited as effective subunit vaccine delivery systems, the physicochemical characteristics of liposomes were studied in detail and correlated with their effectiveness in vivo, in an attempt to elucidate key aspects controlling their efficacy. This research took the previously optimised DDA-TDB system as a foundation for a range of formulations incorporating additional lipids of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) or 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC), by incrementally replacing the cationic content within DDA-TDB or reducing the total DDA-TDB dose upon its substitution, to ascertain the role of DDA and the effect of DDA-TDB concentration in influencing the resultant immunological performance upon delivery of the novel subunit TB vaccine, Ag85B–ESAT-6-Rv2660c (H56 vaccine). With the aim of using the DPPC based systems for pulmonary vaccine delivery and the DSPC systems for application via the intramuscular route, initial work focused on physicochemical characterisation of the systems with incorporation of DPPC or DSPC displaying comparable physical stability, morphological structure and levels of antigen retention to that of DDA-TDB. Thermodynamic analysis was also conducted to detect main phase transition temperatures and subsequent in vitro cell culture studies demonstrated a favourable reduction in cytotoxicity, stimulation of phagocytic activity and macrophage activation in response to the proposed liposomal immunoadjuvants. Immunisation of mice with H56 vaccine via the proposed liposomal adjuvants showed that DDA was an important factor in mediating resultant immune responses, with partial replacement or substitution of DDA-TDB stimulating Th1 type cellular immunity characterised by elevated levels of IgG2b antibodies and IFN-? and IL-2 cytokines, essential for providing protective efficacy against TB. Upon increased DSPC content within the formulation, either by DDA replacement or reduction of DDA and TDB, responses were skewed towards Th2 type immunity with reduced IgG2b antibody levels and elevated IL-5 and IL-10 cytokine production, as resultant immunological responses were independent of liposomal zeta potential. The role of the cationic DDA lipid and the effect of DDA-TDB concentration were appreciated as the proposed liposomal formulations elicited antigen specific antibody and cellular immune responses, demonstrating the potential of cationic liposomes to be utilised as adjuvants for subunit vaccine delivery. Furthermore, the promising capability of the novel H56 vaccine candidate in eliciting protection against TB was apparent in a mouse model.
Audio steganografie a IP telefonie

: Steganography is a technique which hides secret information. In this work, we will hide a secret information in the packets which are produced during a Skype call. Skype is one of the best known and the most widely used VoIP applications. We will propose, describe and implement a steganography method by which we will send the secret message during the Skype call. For embedding the message into packets and extracting them, we will use steganographic method called matrix encoding. To avoid packet loss, we will increase the robustness of this method by error-correcting and self-synchronising codes. As error-correcting codes, we will use the binary Hamming (7 , 4) -codes and for the self-synchronising, we will use T-codes.
Gobius kolombatovici, a common species of Gobiidae in the north-western Mediterranean Sea?

Gobius kolombatovici est un Gobiidae decrit en 2000 a partir de onze specimens provenant de l'ile de Krk en Croatie (Adriatique). La coloration tres particuliere de cette espece permet de l'identifier sous l'eau, sans realiser de prelevement. De nouvelles signalisations de G. kolombatovici sont rapportees pour la Mediterranee nord-occidentale (Monaco, Villefranche/Mer, Parc national de Port-Cros, Cassis, Reserve naturelle de Scandola en Corse), entre 40 et 60 m de profondeur. G. kolombatovici, de par son habitat (coralligene), son mode de vie (craintif, se cache vite a l'abri) et une confusion possible sous l'eau avec Thorogobius macrolepis, n'a ete que recemment decrit. Sa repartition geographique correspond probablement a toute la Mediterranee nord-occidentale et l'Adriatique.
EVALUATION OF THE ROLE OF BarA-UvrY TWO-COMPONENT SYSTEM IN ESCHERICHIA COLI.

Title of Dissertation / Thesis: EVALUATION OF THE ROLE OF BarA-UvrY TWO-COMPONENT SYSTEM IN ESCHERICHIA COLI. Isha Patel, Masters, 2004 Dissertation / Thesis Directed By: Assistant Professor, Dr. Suman Mukhopadhyay, Department of Veterinary and Medicine Pathogenic strains of Escherichia coli, a gram-negative bacterium, colonize the gastric mucosa and urinary tracts of birds, animals and human beings causing diseases like chronic gastritis, diarrhea, peptic ulceration, and urinary tract infections. Pathogenic strains cause a worldwide problem affecting 20% popuation in the U.S. The BarA-UvrY is a two-component system involved in bacterial adaptation and survival. The barA (bacterial adaptive response) gene, induced in uropathogenic E. coli upon contact with eukaryotic cell surface, plays a key role in attachment and colonizing urinary tract epithelia during infection and codes for the transmembrane sensor kinase, BarA. The UvrY protein, is a barA-regulated transcriptional modulator whose targets are yet to be determined. Determination of genes under regulation of BarA-UvrY signaling cascade under various stress conditions will help in better understanding the overall role of this pathway in metabolic adaptation and pathogenesis. Microarray work done in the laboratory shows that BarA-UvrY regulates several stress-response and membranetransport genes. One such gene identified from the microarray results, luxS, is involved in the detoxification of the S-adenosyl methionine in E. coli and produces a furanone, essential for cell density-dependent bacterial quorum sensing. LuxS is known to regulate virulence in E. coli. We chose to study the regulation of the luxS gene expression as it has not been studied in great detail. Using physiological approaches, we validated part of the microarray results. EVALUATION OF THE ROLE OF BarA-UvrY TWO-COMPONENT SYSTEM IN ESCHERICHIA COLI
Full Reference Image Quality Assessment Algorithm based on Haar Wavelet and Edge Perceptual Similarity

The research on image quality assessment (IQA) has been become a hot topic in image processing. Many studies show that HVS edge information plays crucial role when human perceive the quality of an image. The proposed metric is called HEPSI. The method from HaarPSI metric is combined with edge structural similarity and a contrast map is added for pooling the structural similarity map, Validation is taken by comparing HEPSI with the well-known state-of-the-art IQA metrics: PSNR, SSIM, MSSIM, FSIM and HaarPSI over the LIVE database. Experiment shows that HEPSI achieved better performance than other 5 IQA metrics.
Case Report and Literature Review of Medullary Thyroid Carcinoma

Medullary Thyroid Carcinoma (MTC) accounts for approximately 1.7% of all thyroid malignancies. The majority of MTC are sporadic, but 15% to 25% of the cases result from a germline mutation in the RET proto-oncogene. Surgery is the first-line treatment modality for any patient presenting with respectable MTC. The propensity of MTC to metastasize to regional lymph nodes in the central and lateral compartments of the neck is a defining characteristic of this disease, which explains the surgical management in all clinical settings. Elimination of involved nodes can result in longterm cure or disease control, and a working knowledge of cervical lymph node anatomy and of the natural history of MTC spread within these nodal groups is important to the surgeon managing these patients. The degree and timing of the surgery are discussed centered on evidence-based medicine this case report and literature review discusses the contemporary management approach used for the evaluation, diagnosis and treatment of our patient with MTC.
Incidental Breast Lesions on Chest CT: Clinical Significance and Differential Features Requiring Referral

Chest CT has become a common imaging modality for various clinical conditions of the lung, chest wall, mediastinum, pleura, and diaphragm (1). Although not routinely used to assess breast lesions, the entirety of the breast usually appears on chest CT. With the increasing use of chest CT, incidental breast lesions are being frequently encountered (2-5). Thus, it is important for clinicians to be familiar with the CT characteristics of breast lesions, which can be referred to mammography or breast ultrasonography (US) for further evaluation if necessary (6). Several previous studies have reported that the detection rate of incidental breast lesions on chest CT ranges from 0.06% to 7.63% (7-9). The referral rates of incidental breast lesions on chest CT are uncertain and malignancy rates of the referred cases vary with a wide range (9.2% to 70%) (9-12). This suggests that effective criteria for referral to diagnostic breast evaluation are needed for incidental breast lesions found on chest CT, which may provide further characterization of the incidental breast lesions due to its high resolution, large field of view (FOV), and cross-sectional capabilities (13). There are a few reports that have investigated suspicious CT Incidental Breast Lesions on Chest CT: Clinical Significance and Differential Features Requiring Referral 흉부 전산화단층촬영에서 우연히 발견된 유방 병변: 임상적 중요성 및 진료 의뢰가 필요한 특징적 영상 소견
Solid state fermentation for the production of industrial enzymes

Enzymes are among the most important products. obtained for human needs through microbial sources. A large number of industrial processes in the areas of industrial, environmental and food biotechnology utilize enzymes at some stage or the other. Current developments in biotechnology are yielding new applications for enzymes. Solid state fermentation (SSF) holds tremendous potential for the production of enzymes. Tt can be of special interest in those processes where the crude fermented products may be used directly as enzyme sources. This review focuses on the production of various industrial enzymes by SSF processes. Following a brief discussion of the micro-organisms and the substrates used in SSF systems, and aspects of the design of fermenter and the factors affecting production of enzymes, an illustrative survey is presented on various individual groups of enzymes such as cellulolytic, pectinolytic, ligninolytic, amylolytic and lipolytic enzymes, etc.
An Improved Artificial Neural Network Design for Face Recognition utilizing Harmony Search Algorithm

Face recognition has become an interesting field for researchers where it is used in many applications. One of the most common methods of soft computing is named the artificial neural network (ANN) has been suggested to achieve the face recognition process. Nonetheless, the performance of ANN depends on the number of neurons in the hidden layers and the value of the learning rate. These variables are usually defined based on the trial and error method which is time-consuming. Furthermore, in many cases, it is very difficult to find the optimum value for these variables. Hence, to improve the performance of the ANN for the face recognition process, the optimization algorithm is needed to get promising outcomes. Therefore, this paper introduces an improved ANN design for face recognition using a meta-heuristic optimization algorithm. The ANN represents a distributed processing system consists of neurons which are simply connected elements. One of the most popular techniques for pattern recognition called back propagation algorithm (BP) is used to train the ANN (BP-ANN) to achieve the face recognition process. To enhance the face recognition system performance, the ANN has been hybridized with the well-known meta-heuristic optimization algorithm namely harmony search algorithm (HSA). The HSA based on the principle work of musicians to find the best harmonies. This technique is Implemented based on the results of the fitness function evaluation. In this research, the mean squared error (MSE) has been used as a fitness function. The HSA optimizes the ANN such that the face recognition system provides the lowest MSE and thus enhances the performance of the face recognition system. The accuracy of the optimum hybrid system (HSA-ANN) is investigated using the MATLAB environment conducted for 10 persons. The results revealed that the proposed system (HSA-ANN) achieved lower MSE compare with the ANN. Furthermore, the HSA-ANN gives a better face recognition rate than traditional ANN.
Specifying and Analyzing Paradigm Diagrams through UML Diagrams

This master thesis presents a speciﬁcation of a linear pipeline written in the coordination language Paradigm. This pipeline example illustrate the goals in this master thesis. A pipeline exist of a ﬁlter and a buﬀer, which collaborate on a producer and consumer manner. The main goal of this master research is to translate the given Paradigm pipeline diagrams to the thirteen Uniﬁed Modeling Languages (UML) 2.0 diagrams. The translation through UML is a possible enhancement, as UML is more rich then Paradigm. This thesis will indicate if it is actually possible to translate the Paradigm models through all the thirteen UML 2.0 diagrams.
Towards IP-based Geolocation via Fine-grained and Stable Webcam Landmarks

IP-based geolocation is essential for various location-aware Internet applications, such as online advertisement, content delivery, and online fraud prevention. Achieving accurate geolocation enormously relies on the number of high-quality (i.e., the fine-grained and stable over time) landmarks. However, the previous efforts of garnering landmarks have been impeded by the limited visible landmarks on the Internet and manual time cost. In this paper, we leverage the availability of numerous online webcams that are used to monitor physical surroundings as a rich source of promising high-quality landmarks for serving IP-based geolocation. In particular, we present a new framework called GeoCAM, which is designed to automatically generate qualified landmarks from online webcams, providing IP-based geolocation services with high accuracy and wide coverage. GeoCAM periodically monitors websites that are hosting live webcams and uses the natural language processing technique to extract the IP addresses and latitude/longitude of webcams for generating landmarks at large-scale. We develop a prototype of GeoCAM and conduct real-world experiments for validating its efficacy. Our results show that GeoCam can detect 282,902 live webcams hosted in webpages with 94.2% precision and 90.4% recall, and then generate 16,863 stable and fine-grained landmarks, which are two orders of magnitude more than the landmarks used in prior works. Thus, by correlating a large scale of landmarks, GeoCAM is able to provide a geolocation service with high accuracy and wide coverage.
BIG DATA IN E – COMMERCE ANALYTICS : AN OVERVIEW

Big data sizes are constantly increasing, currently ranging from a few dozen tera-bytes (TB) to many petabytes (PB) of data in a single data set. Consequently, some of the difficulties related to big data include capture, storage, search, sharing, analytics, and visualizing. Today, enterprises are exploring large volumes of highly detailed data so as to discover facts they didn’t know before. Analytics based on large data samples reveals and leverages business change. However, the larger the set of data, the more difficult it becomes to manage. Naturally, business benefit can commonly be derived from analyzing larger and more complex data sets that require real time or near-real time capabilities; however, this leads to a need for new data architectures, analytical methods, and tools.