Miracle-dz/UniFAR-FTUs huggingface dataset:
Penerapan Algoritma Centroid-Based Summarization untuk Sistem Peringkasan Dokumen Berbahasa Indonesia

This research will be made an application for summarise of text documents in Indonesian language based on desktop by applying Centroid-Based Summarization algorithm. This application is designed using system development methodologies Iteration with the following stages, that is phases analysis, design, coding, and testing. Testing the application using five categories of documents. There are health news, economic news, sport news, novel, and journal. Every category only use a single document. For counting score there is needed to calculate the value of centroid value (with TF weigh and TF.IDF weigh), position value, and first sentences overlaps for each sentences and count its scores then sorting it from the biggest score to lowest score and chose top result based of compression rate as the final result of this document. In this research there will be comparing the result of summarize with the summarize result from Microsoft Word and Indonesian Language Expert. After the comparing with this application, there is a result in a percentage that the TF.IDF weigh better than TF weigh if its compare with Indonesian Language expert for TF.IDF weigh value is 30,35% and TF weight is 24,12%.
OUTAGE PROBABILITY ANALYSIS OF AMPLIFYANDFORWARD AND DECODEANDFORWARD DUAL HOP RELAYING WITH HARDWARE DEFECTS

The hardware defects creates distortions in communication systems at both transmission and reception process, which usually reduce the communication System performance. We get misleading results at both transmission and reception ends. The huge number of contributions in the area of relaying neglect hardware defects of both transmitter and reception thus assume ideal hard ware . Such assumptions are used in low rate systems but not applicable to high rate systems. This paper derives the behavior of performance limitations for both amplify-and-forward and decode-and-forward protocols of dual hop relaying system. We also derive the outage probity analysis of the effective end-to-end signal-to-noise-and-distortion ratio (SNDR). This paper considers the defects at source, relay, and destination and derives the closed-form expressions for the exact and asymptotic Outage probability.
Social Network Sites Addiction- A New Challenge for New Times

Over 100 social network sites are currently available to the Internet users, and this number is continuously increasing. A real paradigmatic shift in the realm of communication could be described by switching from off-line, real-world, to on-line communication, through the use of laptops, cell phones, tablets etc. Therefore, interpersonal exchange of information has become more and more technologymediated, and this aspect of the contemporary culture is not without consequences in more domains than the usual, daily, conversation. Psychometric instruments for the measuring social network sites addiction have been created and applied in variated cultures and population. Mechanisms of reward and gratification are the most supported pathogenetic substrates of social network sites addiction. A number of demographic variables and personality factors have been associated with a higher risk for this behavioural addiction. Reliable data about social network sites addiction treatment are lacking, and most of the information about therapeutic intervention for this condition is derived from the Internet addiction research. However, it must be kept in mind that social network sites addiction is form of specific Internet addiction, therefore subtle differences in the structure and monitoring of the therapeutic interventions could be anticipated. Key-Words: social network sites, Facebook addiction, Internet addiction, post-modernism, communication, reward system, dopamine, cognitive-behavioral therapy, self-help
Comparative Study between Mini Incision Open Appendectomy and Laparoscopic Appendectomy in Terms of Post Operative Pain Length of Hospital Stay and Return to Normal Life

To compare mini incision open appendectomy and laparoscopic appendectomy in terms of post operative pain length of hospital stay and return to normal life. 100 patients with appendicitis were randomized into mini incision appendectomy and laparoscopic appendectomy. As most of the patients in rural patients prefer early return to work and also have high tolerance to pain, this study emphasis the need for identifying the better procedure. Although mini incision appendectomy also has small incision and similar hospital stay, laparoscopic surgery has emerged as the superior procedure in this population whose paramount interest is early return to work.
Design, Fabrication and Performance Analysis of Automotive Exhaust Gas Waste-Heat Recovery module using Thermoelectric Technology

The study is based on the experimental setup with a specific possibility of recuperating waste heat from an exhaust of an automobile and furthermore to design, fabrication of one such system that can be accomplished the point of producing power by utilizing the thermoelectric power generator. The Experimental work is carried out on an I.C engine having displacement of 127cc. To design a system which has two important components, firstly heat absorber and heat sink. The heat absorber can be used for the hot side of the thermoelectric generator and heat sink can be used for the cold side of the thermoelectric generator. The staggered arrangement is done on both heat sink and heat absorber to enhance the heat transfer rate so that thermoelectric generator could increase its efficiency. Use of copper as a heat sink could beneficial for the cold side of the thermoelectric module because copper has a high thermal conductivity. The material of heat absorber is aluminium alloys 6061 have been anodized to protect it from corrosion. The TEG module we used to be SP1848-27145. The material of this thermoelectric generator is bismuth telluride. The bismuth telluride based TEG could be easily available and the cost of this TEG is cheap. The power generation from the TEG continuously monitor with respect to the variable temperature condition across the TEG device at different rpm of an engine with time and the generated power with two TEG based on the designed module is around 10.02 watts.
The phylogeny of the Craniata, with particular reference to the significance of fossil “agnathans”

ABSTRACT The phylogenetic relationships of the extant Craniata are analyzed, and the position of the best known fossil groups of jawless craniates is discussed. Some of the patterns obtained are inconsistent with previous opinions on the phylogeny of the Craniata, e.g. on the question of monophyly of the Cephalaspidomorphi. It is concluded that the fossil jawless Craniata provide little information on the affinities of the Craniata, but they do provide complementary data on distribution of characters. According to their respective positions in the cladogram, these fossil groups allow determination of polarity of some characteristics, such as paired fins, naso-hypophysial complex, and eye musculature.
WORKING HOLIDAY IN AUSTRALIA: A SOCIAL-DATA BASED STUDY ON THE CORRELATION BETWEEN PARTICIPANTS’ PERCEPTION AND PARTICIPATION CHANGE

The main purpose of the study is to understand the relationship between people’s perception and participation regarding a future event. The analysis was performed to investigate whether the participation in Australian working holiday program changes due to the change in the perception of the people of Korea. In the research, we utilized time series statistical data and a set of sentiment data collected from a social platform. We used the number of Korean people who entered and exited Australia during the last 10 years and sentiment data from two social blogs, called cafes: 'I Love Australia' and 'Hoggoksung', having registered members of 150,500 and 110,127, respectively. The total numbers of posts were 169,827 and 196,217, respectively. In was found that the change in perception has strong impacts on the number of people participating in the program. We also found that the sentiment data-based prediction is much more effective than the simple numerical data-based prediction.
Waterlogging and fire impacts on nitrogen availability and utilization in a subtropical wet heathland (wallum)

Protein, amino acids and ammonium were the main forms of soluble soil nitrogen in the soil solution of a subtropical heathland (wallum). After fire, soil ammonium and nitrate increased 90- and 60-fold, respectively. Despite this increase in nitrate availability after fire, wallum species exhibited uniformly low nitrate reductase activities and low leaf and xylem nitrate. During waterlogging soil amino acids increased, particularly γ-aminobutyric acid (GABA) which accounted for over 50% of amino nitrogen. Non-mycorrhizal wallum species were significantly (P glycine > nitrate. The exception were proteoid roots of Hakea (Proteaceae) which incorporated equal amounts of glycine and ammonium.
ACOUSTICS vs. PHONEMES IN LEXICAL ACCESS

Phonetic perception and lexical access is sensitive to acoustic traces of co-articulatory processes in overlapping neighbouring segments. Longer distance coarticulatory effects, though well documented in production studies, have not been examined with regard to their contribution to lexical access. Using an eye-tracking paradigm, we examines whether the acoustic reflex of anticipatory lip-rounding and lip-spreading in initial // in German CC and CCC word onset clusters is used to decide between lexical candidates with phonemically identical onsets prior to the contrasting vowel. The results show a clear effect of the pre-vocalic consonant information, but the effect is not symmetrical for rounded and unrounded //. Results are discussed in relation to a phonemic vs. a (demi-)syllabic basis of lexical decisions and markedness theory.
Response to Comment on “The Mechanism for Activation of GTP Hydrolysis on the Ribosome”

Our report of the crystal structure of elongation factor Tu (EF-Tu) and aminoacyl–transfer RNA bound to the ribosome with a guanosine triphosphate (GTP) analog included a proposed mechanism of GTP hydrolysis by EF-Tu involving histidine-84. Liljas et al. summarize experimental evidence against this mechanism and propose a substrate-assisted catalytic model. However, these experiments and the model are also problematic. Further study is required to definitively determine the mechanism of GTP hydrolysis by EF-Tu.
GroEL/GroES-dependent Reconstitution of α2β2 Tetramers of Human Mitochondrial Branched Chain α-Ketoacid Decarboxylase

The decarboxylase component (E1) of the human mitochondrial branched chain α-ketoacid dehydrogenase multienzyme complex (∼4–5 × 103 kDa) is a thiamine pyrophosphate-dependent enzyme, comprising two 45.5-kDa α subunits and two 37.8-kDa β subunits. In the present study, His6-tagged E1 α2β2 tetramers (171 kDa) denatured in 8 m urea were competently reconstituted in vitro at 23 °C with an absolute requirement for chaperonins GroEL/GroES and Mg-ATP. Unexpectedly, the kinetics for the recovery of E1 activity was very slow with a rate constant of 290 m −1 s−1. Renaturation of E1 with a similarly slow kinetics was also achieved using individual GroEL-α and GroEL-β complexes as combined substrates. However, the β subunit was markedly more prone to misfolding than the α in the absence of GroEL. The α subunit was released as soluble monomers from the GroEL-α complex alone in the presence of GroES and Mg-ATP. In contrast, the β subunit discharged from the GroEL-β complex readily rebound to GroEL when the α subunit was absent. Analysis of the assembly state showed that the His6-α and β subunits released from corresponding GroEL-polypeptide complexes assembled into a highly structured but inactive 85.5-kDa αβ dimeric intermediate, which subsequently dimerized to produce the active α2β2tetrameter. The purified αβ dimer isolated from Escherichia coli lysates was capable of binding to GroEL to produce a stable GroEL-αβ ternary complex. Incubation of this novel ternary complex with GroES and Mg-ATP resulted in recovery of E1 activity, which also followed slow kinetics with a rate constant of 138m −1 s−1. Dimers were regenerated from the GroEL-αβ complex, but they needed to interact with GroEL/GroES again, thereby perpetuating the cycle until the conversion from dimers to tetramers was complete. Our study describes an obligatory role of chaperonins in priming the dimeric intermediate for subsequent tetrameric assembly, which is a slow step in the reconstitution of E1 α2β2 tetramers.
ENHANCING DATA SECURITY IN CLOUD COMPUTING USING PUBLIC KEY INFRASTRUCTURE

Cloud computing is an emerging computing paradigm which is perceived as the technological innovation that will transform future investments in information technology. This new technology is a growing trendy platform that is gaining an expanding interest, since it provides several benefits to its users by offering eﬃcient architectures that support the transmission, storage, and intensive computing of data. Meanwhile, the rapid growth of cloud computing increases the vulnerability of unauthorized disclosure and unauthorized modification. Cloud security is the major hurdle in wide adoption of cloud computing. Hence, there is a need of an appropriate security and privacy solution that provides all security services. This paper proposes and implements the public key infrastructure cryptography scheme combined with IPSec VPN to strengthen security and privacy in the cloud environment. The proposed architecture based on certificate authority that provides the service of binding X509 certificate with user’s identity, and which ensures the protection of critical data stored in cloud.
AUTONOMOUSLONG RANGENAVIGATION IN PLANETARY-LIKE ENVIRONMENTS

Autonomous long range navigation in partially known planetary-liketerrain is still quite challengingfor roboticists. Navigatingseveralhundredsof meterswithoutany operatorinterventionrequirestheability to build variousrepresentations of thepercei vedenvironment,to planandexecutetrajectoriesaccordingto thekind of terraintraversed,to localizetherobotas it executesits mission,andto schedule, trigger, controlandinterruptthesevariousactivities. In thispaper , webriefly describe somefunctionalitiesthatarecurrentlybeingintegratedonboard theMarsokhodrobotLamaat LAAS/CNRS.We thenfocuson thenecessityto integratevariousinstancesof theperceptionand decisionfunctionalities,andonthedifficultiesraisedby this integration.
The effect of advertising on sales-Considering aggregated data bias-

“How does advertising affect sales? ” is the fundamental issue of modern advertising research. There is an interesting issue for estimating carry over effects of advertising on sales, and the aggregated data biases exist in the duration of advertising effect. This research suggests a modified model at micro-data using Koyck model (Koyck 1954) by estimated model the aggregate data, and empirically shows the aggregated data bias. Our modified model with the aggregated level of actual data is more appropriate than the base model for micro-data. The result shows that it is very important to consider the disaggregated data level in the analysis of dynamic effects of adverting such as lagged effects.
Review: Condensed tannin and grape cell wall interactions and their impact on tannin extractability into wine

It has been suggested that tannin extraction from grape berries into wine is limited by tannin binding to cell walls. Here we review the current state of knowledge and identify gaps in research that would enable characterisation of these interactions. Such characterisation could improve tannin extraction management in winemaking. The work identified in this review supports the hypothesis that tannin–cell wall interactions are formed by hydrogen bonding and hydrophobic interactions with the binding capacity of the cell walls influenced by tannin and polysaccharide structure and composition. Cell wall changes during berry development may increase the tannin-binding capacity of cell walls, while tannin structure may also influence its affinity for cell wall material. This review also identifies the need to investigate cultural and environmental factors that affect tannin and polysaccharide composition, to characterise the tannin-binding capacity of cell walls and to develop methods for assessing tannin-binding capacity of fruit prior to harvest. It is envisaged that a detailed understanding of tannin interactions with other components in the grape would lead to a predictive model for extractability of condensed tannins into wine.
Load Frequency Control Optimization using PSO Based Integral Controller

This paper presents Automatic Generation Control (AGC) of a power system using integral controller. In the present day power systems, it has become absolutely essential to maintain the quality of the power generated indicating the need of a robust system that can handle parameter uncertainties neglecting disturbances. Although,extensive research has been done in thisarea, design of an efficient and robust system still remains one of the important issues that need to be addressed. Hence in this paperan integral controller has been designed for a singlearea thermal power system without reheat turbine. The optimum controller gain is obtained by Particle Swarm Optimization (PSO) based on Integral of Absolute Error (IAE) and Integral of Square Error (ISE) criterion. The second part of the investigation includes robustness testing of the designed controller against different load conditions and plant parameter variations. The results obtained are compared to those obtained by other control methodologies presented in the recent literature. The results of the simulation validate the superiority of the approach in terms of improvement in the transient response and robustness to plant parameter variations.
Hybrid Optimization Driven Technique for Malicious Javascript Detection Based on Deep Learning Classifier

The growth of the web users and thecontents are increasing in a daily basis. In all these webpages the implementation of javascripts are a common factor. These scripts are used for the simplicity and achieve interaction with the user, but, also could be used to harm the end user by stealing information, redirecting to phishing pages and installing harmful softwares. This alarms an immediate look into the security concerns of the javascript. There exist many machine learningbased malicious script detection approaches, but majority of them follow a shallow discriminating models where manual definition of features are constructed with artificial rules. In this paper, a deep learning framework for detecting malicious JavaScript code is proposed combing the optimization power of Bird Swarm Algorithm. To extract high-level features from JavaScript code Stacked denoising auto-encoders are implemented and BSA is used to optimise the features and identify the malicious codes. The theoretical model [2] have an accuracy of 94% in identifying the malicious codes.
Workload evaluation of effects of a lane keeping assistance system with physiological and performance measures

The present study investigated the mental workload associated with driving a vehicle equipped with Lane Keeping Assistance System (LKAS). Specifically, an experiment was carried out with 16 participants driving with LKAS in four real-world scenarios. Effects on mental workload were evaluated with psychophysiological measures such as heart rate and skin conductance response (SCR). The driving performance, which is also a measure of evaluating mental workload, was assessed by measures such as steering reversal rate, variation of lateral position and steering effort. The result suggested that LKAS has reduced physical workload in the steering task. However, the lane keeping performance was not improved. Moreover, the NASA-TLX showed that participants perceived higher mental workload while driving with LKAS. This effect was mirrored in the SCR. The objective data showed that LKAS was associated with higher steering reversal rate, which might explain the reason of participants perceiving higher mental workload. Overall, it was suggested that the mental workload was higher with the tested LKAS.
Semantic Drift Compensation for Lifelong Learning

The results presented in Table. 1 in the main paper are based on ResNet18 pre-trained from the ImageNet dataset. As some of the categories of birds are present in the ImageNet, we conducted additional experiments. We removed 59 classes in total form the original dataset, including birds (e.g. macaw, flamingo, black swan) and similar species (e.g. cock, hen, king penguin), and then trained ResNet18 network on the constrained dataset. Table. 2 shows the average incremental accuracy results pre-trained from ImageNet without birds. It can be seen that there is no significant difference with fine-tuning, while slightly worse with the other three methods compared to Table. 1, where bird categories were used in the pre-trained network.
Supplementary Materials for Unsupervised Domain Adaptation with Hierarchical Gradient Synchronization

Lanqing Hu Meina Kan Shiguang Shan Xilin Chen 1 Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, 200031, China lanqing.hu@vipl.ict.ac.cn {kanmeina,sgshan,xlchen}@ict.ac.cn
AMYOTROPHIC LATERAL SCLEROSIS: A REVIEW

Amyotrophic lateral sclerosis is a disorder especially affecting motor neuron and generally characterized by degeneration of upper and lower motor neuron. It even leads to death within 3 to 5 years causing respiratory failure. There are number of factors which are responsible for causing a neuron disease. It mainly affects older age group i.e. above 60 years. Men are highly at risk as compared to women. The overall ratio is about 1.5 men to every woman. The clinical history of the patients helps in diagnosis. Primarily it affects the control muscles which we needed to speak, move, eat and breathe. In this review the diagnosis, pathogenicity, therapies, current scenario has been discussed. The understanding of pathological physiology of ALS will help in development of rapid and improved diagnostic tools and effective therapies for recovery. This review will help the readers and scientist to gain broad information regarding ALS disease.
Design and Analysis of a Low Power Binary Counter-based Approximate Multiplier Architecture

Multiplication has become the fundamental arithmetic operation in modern electronic world. Many researches in Signal processing and image processing applications are looking for energy efficient architectures. These applications exhibit error tolerance thus laying foundation for approximation techniques. The proposed work utilizes a new binary counter for partial product accumulation in a segmentation based approximate multiplication technique. The fundamental building block of the counter is a 3-bit stack circuit, which combines each of “Logic 1” bits collectively, after which a stacking process is done to convert two 3-bit modules into a 6-bit stack module. The counter circuit is obtained by converting the bit stacks to binary counts, without any XOR gates on the critical line of operation. This leads to design of binary counters with effective yield of power and delay. Moreover, applying these counters for partial product accumulation in the approximate multipliers found to be more effective when compared with conventional techniques. In future, these counter based approximate multipliers can be utilized to design energy efficient filters for image processing and signal processing applications.