Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH LINGKUNGAN KERJA DAN SELF EFFICACY TERHADAP KOMITMEN ORGANISASIONAL DOSEN POLITEKNIK NEGERI SEMARANG

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh lingkungan kerja dan self-efficacy terhadap komitmen organisasi. Penjabaran tujuan penelitian (1). Memeriksa dan menganalisis pengaruh lingkungan kerja terhadap komitmen organisasi, (2). Memeriksa dan menganalisis pengaruh self-efficacy terhadap komitmen organisasi.Penelitian ini merupakan studi kuantitatif untuk menganalisis dan membuktikan hipotesis penelitian. Analisis data menggunakan analisis regresi berganda dilakukan melalui softwareSPSS. Hasil regresi memberikan bukti bahwa self-efficacy memiliki pengaruh yang dominan terhadap komitmen organisasi dengan koefisien regresi 0.358, sedangkan variabel lingkungan kerja dengan koefisien regresi 0,313. Kedua variabel independen, yaitu lingkungan kerja, self-efficacy memiliki pengaruh positif terhadap komitmen organisasi.
Indoor Solar Thermal Energy Saving Time with Phase Change Material in a Horizontal Shell and Finned-Tube Heat Exchanger

An experimental as well as numerical investigation was conducted on the melting/solidification processes of a stationary phase change material (PCM) in a shell around a finned-tube heat exchanger system. The PCM was stored in the horizontal annular space between a shell and finned-tube where distilled water was employed as the heat transfer fluid (HTF). The focus of this study was on the behavior of PCM for storage (charging or melting) and removal (discharging or solidification), as well as the effect of flow rate on the charged and discharged solar thermal energy. The impact of the Reynolds number was determined and the results were compared with each other to reveal the changes in amount of stored thermal energy with the variation of heat transfer fluid flow rates. The results showed that, by increasing the Reynolds number from 1000 to 2000, the total melting time decreases by 58%. The process of solidification also will speed up with increasing Reynolds number in the discharging process. The results also indicated that the fluctuation of gradient temperature decreased and became smooth with increasing Reynolds number. As a result, by increasing the Reynolds number in the charging process, the theoretical efficiency rises.
OSDM 2005 Proceedings of the First International Workshop on Open Source Data Mining

Pattern discovery typically explores a massive space of potential patterns to identify those that satisfy some user-specified set of criteria. This process entails a huge risk (in many cases a near certainty) that many patterns will be false discoveries. These are patterns that satisfy the specified criteria with respect to the sample data but do not satisfy those criteria with respect to the population from which those data are drawn. This talk discusses the problem of false discoveries, and presents techniques for avoiding them.
Secure Overlay Routing Using Key Pre-Distribution: A Linear Distance Optimization Approach

Key pre-distribution algorithms have recently emerged as efficient alternatives of key management in today's secure communications landscape. Secure routing techniques using key pre-distribution algorithms require special algorithms capable of finding optimal secure overlay paths. To the best of our knowledge, the literature of key pre-distribution systems is still facing a major void in proposing optimal overlay routing algorithms. In the literature work, traditional routing algorithms are typically used twice to find a NETWORK layer path from the source node to the destination and then to find required cryptographic paths. In this paper, we model the problem of secure routing using weighted directed graphs and propose a Boolean linear programming (LP) problem to find the optimal path. Albeit the fact that the solutions to Boolean LP problems are of much higher complexities, we propose a method for solving our problem in polynomial time. In order to evaluate its performance and security measures,we apply our proposed algorithm to a number of recently proposed symmetric and asymmetric key pre-distribution methods. The results show that our proposed algorithm offers great network performance improvements as well as security enhancements when augmenting baseline techniques.
PENGARUH DISKUALITAS PELAYANAN TERHADAP NEGATIVE WORD OF MOUTH (WOM) DENGAN KETIDAKPUASAN PASIEN SEBAGAI VARIABEL INTERVENING (STUDI PADA PUSKESMAS NGESREP DI KOTA SEMARANG)

This research was motivated by a lot of medical patient complaints after visiting to Puskesmas Ngesrep in form of critics and suggestions. It indicates there are unsatisfactory feelings after their visit to Puskesmas Ngesrep that could be because of disquality services from the management. This research is aiming to analyze the effect of disquality service medic and non-medic toward patient disatisfaction and negative WOM. This research using descriptive and quantitative for data analyze. The samples for this research are 400 patients that visited Puskesmas Nngesrep. Data was collected using questionnaires which tested the validity and reliability. The data was analyzed using multiple regression. The result of descriptive analysis shown that disquality service medic, disquality services non-medic, patient’s disatisfaction, and negative WOM Puskesmas Ngesrep classified as low. Statistical tests shown patient’s disatisfaction variable is affecting positively toward negatif WOM variable (hypothesis 1 is accepted), disquality service medic variable is affecting positively toward patient’s disatisfaction (hypothesis 2 is accepted), disquality services medic variable is affecting positively toward negatif WOM (hypothesis 3 is accepted), disquality service non-medic is affecting positively toward disatisfaction patient’s (hypothesis 4 is accepted), and disquality services non-medic variable is affecting positively toward intention to negative WOM (hypothesis 5 is accepted).
The issue of saturation in control systems using a model function with delay

This paper deals with the issue of input saturation of controller with a more complicated dynamics using complex structure with both integration and time-delays included. The effect of control input saturation on process control is shown using simulation model in Simulink. Methods used to deal with this issue for conventional controllers are mentioned and tested suggestions for modification of control algorithms for meromorphic functions are introduced.
Radar shadow detection in SAR images using DEM and projections

Synthetic aperture radar (SAR) images are widely used in target recognition tasks nowadays. In this letter, we propose an automatic approach for radar shadow detection and extraction from SAR images utilizing geometric projections along with the digital elevation model (DEM) which corresponds to the given geo-referenced SAR image. First, the DEM is rotated into the radar geometry so that each row would match that of a radar line of sight. Next, we extract the shadow regions by processing row by row until the image is covered fully. We test the proposed shadow detection approach on different DEMs and a simulated 1D signals and 2D hills and volleys modeled by various variance based Gaussian functions. Experimental results indicate the proposed algorithm produces good results in detecting shadows in SAR images with high resolution.
Fault-free vertex-pancyclicity in faulty augmented cubes

The n-dimensional augmented cube, denoted as AQn, a variation of the hypercube, possesses some properties superior to those of the hypercube. In this paper, we show that every vertex in AQn lies on a fault-free cycle of every length from 3 to 2, even if there are up to n − 1 link faults. We also show that our result is optimal.
Development of RF energy harvesting technique for Li-Fi application

This work aims to improve the power generation by applying and experimenting a new technique of Radio Frequency (RF) energy harvesting using products of Powercast. This energy is used to activate a Light-Fidelity (Li-Fi) sample device and charge an energy storage system simultaneously. The final outcome of the system is now able to activate the Li-Fi sample device and charge a battery system at the same time. With the project being improved on a wider scale, many power problems can be solved in such a way that will help all humankind.
Design of a modular and mixed neuromimetic ASIC

This paper presents a new specific integrated circuit (ASIC) that emulates neurons electrical activity using a biophysical model (neuromimetic ASIC). Such ASICs form the computation core of a complete simulation system dedicated to the investigation of the dynamics of biomimetic neural networks. The circuits were designed using a modular approach. Simulations were realized by mixing the behavioral and the transistor-level description of modules. We present in this paper the ASICs specifications and architecture, together with simulation results.
AGILE: Boon for today's Software Industry-A Review

Agile software development or agility is a sound concept of today's scenario which comprises the methods like scrum, Kanban, pair programming, extreme programming etc.Agile methods work with collaboration, competence, predictive planning and achievement and so that they let a project to be completed in its optimum state i.e. within time and cost and with producing best results. Agile methods are not bound to apply only in field of software development but they can be used in each and every field for getting best results in least efforts. This paper is an attempt to provide a study on agile methods as well as the chances to use them in other fields of engineering.
Alternating Locking Ratios in Imperfect Phase Synchronization

In periodically driven chaotic dynamical systems with a broad distribution of intrinsic time scales,perfect phase synchronization cannot be reached. Long segments of evolution during which the phaseof a chaotic variable follows the phase of the driving force are interrupted by short segments of phasedrift. We demonstrate that this drift is another short-lived synchronized state; its onset is caused by thepassage near the long unstable periodic orbits whose frequencies are locked by external force in ratiosdifferent from 1:1. [S0031-9007(99)09190-5]
Comparative Analysis of Discrimination Power of the Vocal Source and Vocal Tract Features for Speaker Verification

The paper comparatively analyzes the speaker discrimination power of the vocal source and vocal tract related features and present a speaker verification system optimally utilizing the source and tract related speaker specific information. A pitchsynchronous wavelet transform is adopted to capture the speaker specific information from the vocal source signal, particularly the Linear Prediction (LP) residual signal. This new feature, named Wavelet Octave Coefficients of Residues (WOCOR), can be used complementarily to the vocal tract feature, particularly the Linear Predictive Cepstral Coefficients (LPCC). Analysis of these two features with a Cantonese database reveals that different digits have different source and tract related speaker discrimination power. Digit-dependent weights are derived for the optimally usage of the complementary source and tract information for speaker recognition. Experimental results show that speaker recognition system with such optimally weighted source and tract information fusion further improves the performance.
Affordance matching from the shared information in multi-robot

Affordances encode the relationships between the robot and environment, in terms of actions that the robot is able to perform. The essence is that each object is perceived by its affordances (graspable, moveable, etc), instead of its properties (color, size, etc). Previous work mainly associates an affordance to a primitive or reactive action of single robot, and the whole task is finished after that action has been executed. However, robots often need to cooperate in tasks such as rescue and exploration, where the perceived information could be shared to match affordances between the robots and objects. As far as we are concerned, this paper is the first one to carry out affordance research in multi-robot. This paper proposes a new definition and formalization for the affordance in multi-robot, and describes a robot in terms of its capabilities which are more affordance-oriented. In the simulation experiment, two robots with different capabilities could share the perceived information to match affordances, and the work efficiency is higher than the non-affordance approach.
Hidden Markov Model Search of PiggyBAC Transposons : Insights and Analysis

In this paper we describe our approach to tracing the evolution of several piggyBAC transposons, starting from a phylogenetic tree through building a Hidden Markov Model, finally arriving with a group of potentially related sequences that shows the conservation of this group of piggyBAC transposons across a wide range of organisms.
Identification of BCAR3 by a random search for genes involved in antiestrogen resistance of human breast cancer cells

The antiestrogen tamoxifen is important in the treatment of hormone‐dependent breast cancer, although development of resistance is inevitable. To unravel the molecular mechanisms of antiestrogen resistance, a search for involved genes was initiated. Retrovirus‐mediated insertional mutagenesis was applied to human ZR‐75‐1 breast cancer cells. Infected cells were subjected to tamoxifen selection and a panel of resistant cell clones was established. Screening for a common integration site resulted in the identification of a novel gene designated BCAR3. Transfer of this locus by cell fusion or transfection of the BCAR3 cDNA to ZR75‐1 and MCF‐7 cells induces antiestrogen resistance. BCAR3 represents a putative SH2 domain‐containing protein and is partly homologous to the cell division cycle protein CDC48.
Deletion of the Tetrahymena thermophila rDNA replication fork barrier region disrupts macronuclear rDNA excision and creates a fragile site in the micronuclear genome

During macronuclear development the Tetrahymena thermophila ribosomal RNA gene is excised from micronuclear chromosome 1 by site-specific cleavage at chromosome breakage sequence (Cbs) elements, rearranged into a ‘palindromic’ 21 kb minichromosome and extensively amplified. Gene amplification initiates from origins in the 5′ non-transcribed spacer, and forks moving toward the center of the palindrome arrest at a developmentally regulated replication fork barrier (RFB). The RFB is inactive during vegetative cell divisions, suggesting a role in the formation or amplification of macronuclear rDNA. Using micronuclear (germline) transformation, we show that the RFB region facilitates Cbs-mediated excision. Deletion of the RFB inhibits chromosome breakage in a sub-population of developing macronuclei and promotes alternative processing by a Cbs-independent mechanism. Remarkably, the RFB region prevents spontaneous breakage of chromosome 1 in the diploid micronucleus. Strains heterozygous for ΔRFB and wild-type rDNA lose the ΔRFB allele and distal left arm of chromosome 1 during vegetative propagation. The wild-type chromosome is subsequently fragmented near the rDNA locus, and both homologs are progressively eroded, suggesting that broken micronuclear chromosomes are not ‘healed’ by telomerase. Deletion of this 363 bp segment effectively creates a fragile site in the micronuclear genome, providing the first evidence for a non-telomere cis-acting determinant that functions to maintain the structural integrity of a mitotic eukaryotic chromosome.
Scalable Methods for Random Walk with Restart and Tensor Factorization

Big data” has received considerable interests from both academia and industry in the last decade. It turned out that mining large-scale data enables us to obtain machine learning models with higher accuracy and extend our knowledge about large complex systems such as Web and social media. However, the enormous volume of data prevents us from simply using previous machine learning or data mining algorithms and requires new approaches. One approach for tackling big data is to exploit the structural properties of data. As the first part of this thesis, we utilize hub-and-spoke structure of real-world graphs to design scalable computation methods for random walk with restart (RWR), a widely-used measure of the relevance between two nodes in a graph. The hub-and-spoke structure enables us to divide a given RWR computation problem into smaller problems, and our methods significantly outperform state-of-the-art methods in terms of speed, space-efficiency, and accuracy. Another approach is to exploit parallelism. As the second part of this thesis, we design tensor factorization methods for collaborative filtering that run in parallel in distributed environments. Owing to their high scalability with regard to all aspects of data (the dimension, mode length, and rank of tensors), our methods successfully solved tensor factorization with 50 billion parameters, while all other methods failed. We also discuss the limitations of MapReduce, the most widely-used programming model for distributed computing, we experienced during the development of the methods. These limitations of previous programming models led to the last part of this thesis, the design of a programming model for distributed machine learning and data mining. Our multi-stage BSP model supports not only iteration and rich communication methods but also the retainment of computing resources and intermediate data. We show the expressiveness and convenience of our model through distributed machine learning examples and also discuss its implementation on a distributed system. The algorithms and programming model proposed in this thesis will be available as parts of opensource projects, PEGASUS and Apache REEF, respectively.
Reduced Exercise Tolerance and Pulmonary Capillary Recruitment with Remote Secondhand Smoke Exposure

Rationale Flight attendants who worked on commercial aircraft before the smoking ban in flights (pre-ban FAs) were exposed to high levels of secondhand smoke (SHS). We previously showed never-smoking pre-ban FAs to have reduced diffusing capacity (Dco) at rest. Methods To determine whether pre-ban FAs increase their Dco and pulmonary blood flow () during exercise, we administered a symptom-limited supine-posture progressively increasing cycle exercise test to determine the maximum work (watts) and oxygen uptake () achieved by FAs. After 30 min rest, we then measured Dco and at 20, 40, 60, and 80 percent of maximum observed work. Results The FAs with abnormal resting Dco achieved a lower level of maximum predicted work and compared to those with normal resting Dco (mean±SEM; 88.7±2.9 vs. 102.5±3.1%predicted ; p = 0.001). Exercise limitation was associated with the FAs' FEV1 (r = 0.33; p = 0.003). The Dco increased less with exercise in those with abnormal resting Dco (mean±SEM: 1.36±0.16 vs. 1.90±0.16 ml/min/mmHg per 20% increase in predicted watts; p = 0.020), and amongst all FAs, the increase with exercise seemed to be incrementally lower in those with lower resting Dco. Exercise-induced increase in was not different in the two groups. However, the FAs with abnormal resting Dco had less augmentation of their Dco with increase in during exercise (mean±SEM: 0.93±0.06 vs. 1.47±0.09 ml/min/mmHg per L/min; p<0.0001). The Dco during exercise was inversely associated with years of exposure to SHS in those FAs with ≥10 years of pre-ban experience (r = −0.32; p = 0.032). Conclusions This cohort of never-smoking FAs with SHS exposure showed exercise limitation based on their resting Dco. Those with lower resting Dco had reduced pulmonary capillary recruitment. Exposure to SHS in the aircraft cabin seemed to be a predictor for lower Dco during exercise.
Managing Benefits from IS/IT Investments: An Empirical Investigation into Current Practice

In 1996 Ward et al reported the results of their UK study into the state of practice in evaluating and realizing benefits from IS/IT investments. This paper presents new empirical evidence from a survey performed in the Benelux and the UK on the state of practice in managing benefits from IS/IT investments. The paper revisits the background and concepts of the benefits management process model introduced by Ward et al, assesses the current state of practice, and compares it to ten years ago. The results show some positive evolutions in the adoption of formal methodologies and certain structured practices. Nevertheless, the results point towards ample room for improvement for most organizations. The findings also support the claims of the benefits management process model that organizations which are more successful at delivering benefits from their IS/IT investment projects are more likely to have a comprehensive approach to managing benefits from them
SemEval-2010 Task 12: Parser Evaluation Using Textual Entailments

Parser Evaluation using Textual Entailments (PETE) is a shared task in the SemEval-2010 Evaluation Exercises on Semantic Evaluation. The task involves recognizing textual entailments based on syntactic information alone. PETE introduces a new parser evaluation scheme that is formalism independent, less prone to annotation error, and focused on semantically relevant distinctions.
Robust Parsing

Robust parsing is introduced as a form of bounded context parsing. As such, the process of parsing deenes a continuous mapping of symbol strings to parse trees, a mapping where small changes (errors) in the symbol string will cause only small changes in the resulting trees. The diierences between robust parsing and LR(k) parsing are explored. A method of generating robust parsers is presented and complemented by the description of an implementation of a parser-generator and its output. Included are some examples to illustrate the results of robust parsing.
Carboxy terminal modifications of the P0 protein reveal alternative mechanisms of nuclear ribosomal stalk assembly

The P0 scaffold protein of the ribosomal stalk is mainly incorporated into pre-ribosomes in the cytoplasm where it replaces the assembly factor Mrt4. In analyzing the role of the P0 carboxyl terminal domain (CTD) during ribosomal stalk assembly, we found that its complete removal yields a protein that is functionally similar to Mrt4, whereas a chimeric Mrt4 containing the P0 CTD behaves more like P0. Deleting the P0 binding sites for the P1 and P2 proteins provoked the nuclear accumulation of P0ΔAB induced by either leptomycin B-mediated blockage of nuclear export or Mrt4 deletion. This effect was reversed by removing P1/P2 from the cell, whereas nuclear accumulation was restored on reintroduction of these proteins. Together, these results indicate that the CTD determines the function of the P0 in stalk assembly. Moreover, they indicate that in cells lacking Mrt4, P0 and its stalk base partner, the L12 protein, bind to pre-ribosomes in the nucleus, a complex that is then exported to the cytoplasm by a mechanism assisted by the interaction with P1/P2 proteins. Furthermore, in wild-type cells, the presence of nuclear pre-ribosome complexes containing P0 but not L12 is compatible with the existence of an alternative stalk assembly process.
FROM PRINCIPAL CHIRAL MODEL TO SELF-DUAL GRAVITY

It is demonstrated that the action of SU(N) principal chiral model leads in the limit N→∞ to the action for the Park-Husain (P-H) heavenly equation. The principal chiral model in the Hilbert space L2(ℝ1) is considered and it is shown, that in this case the chiral equation is equivalent to the Moyal deformation of the P-H heavenly equation. A new method of searching for solutions to this latter equation, via Lie algebra representations in L2(ℝ1) is given.