Miracle-dz/UniFAR-FTUs huggingface dataset:
AN ANALYSIS OF STUDENTS’ SPEECH ANXIETY IN PUBLIC SPEAKING SUBJECT AT THE SECOND SEMESTER OF ENGLISH EDUCATION DEPARTMENT IAIN SURAKARTA

ABSTRACT Narko Wahyu Wahono. 2018. An Analysis of Students’ Speech Anxiety in Public Speaking Subject at the Second Semester of English Education Department IAIN SURAKARTA. Thesis, English Education Department, Islamic Education and Teacher Training Faculty. Advisor : Dr. Rochmat Budi Santoso, S.Pd. , M.Pd. The Key Words : Anxiety, Speech, Speech Anxiety The objectives of this research were to know the kinds of students’ speech anxiety, the causes of students’ speech anxiety occur and the ways students reduce or overcome speech anxiety in the pubic speaking subject at the second semester of English Education Department IAIN Surakarta. The researcher used the descriptive qualitative research. It is part of qualitative research. The researcher takes some data from observation, interview, questionnaire and document analysis. The researcher considers the event, informant and document as the source of the research. In drawing conclusion, the researcher analyzes the research findings with the Bippus & Dally theories. To avoid the bias of data, the researcher used the method triangulation. The results of the research showed as follow : (1) There are six kinds of speech anxiety encountered by students in the public speaking subject, they are humiliation, physical appearance, rigid rules, audience interest, mistakes and negative result. The most kinds of students' speech anxiety come from mistakes and humiliation. Students are afraid of making mistakes and feel their mistakes will be noticed by everyone are the kinds of students' speech anxiety most dominant encountered by the students. (2) The causes of speech anxiety encountered by students of the second semester are preparation, personality traits, and unfamiliar role. The most causes of students’ speech anxiety come from preparation. students have not had enough practice is the cause of students’ speech anxiety most dominant encountered by the students. (3) The ways students do to reduce or overcome speech anxiety in the public speaking subject are preparation, relaxation, positive thinking, peer seeking, and resignation. The most way used by students in the second semester to reduce or overcome their anxiety is by preparation. Finally, the researcher has a suggestion to the lecturer and students. The lecturer could build a friendly situation in a class and create a relax situation to the students to make a good interaction among all of member of the class. Motivation from the lecturer also needed to make students more active and bravely and also confident to learn the material. For the students, the best way to reduce or overcome anxiety during speaking in front of the classroom is students should be believed in themselves. Students can decrease their anxieties through practice and prepare the material well before perform. With this, students will know their own weaknesses and strengths.
Interference-aware multipath routing protocol for video transmission over ZigBee wireless sensor networks

The IEEE 802.15. 4/ZigBee technology is emerging as an important wireless sensor networking solution for short and medium range communication due to its numerous advantages. On the other hand, multimedia applications have gained increasing popularity that gives us the opportunity to improve this technology to support video transmission. In limited bandwidth ZigBee networks (250 kbps at 2.4 GHz), how to increase the throughput in constrained environments has become the main challenge. Multi-path becomes a crucial feature in supporting video transmission. Using simultaneous multiple paths provides the bandwidth requirements of multimedia applications. Unfortunately, concurrent transmission creates the problem of inter-path interference mainly due to the broadcast nature of the underlying medium. In this paper, we propose an interference-minimized multipath routing to facilitate MPEG-4 video transmission over ZigBee-based WSNs. This latter is evaluated using comparison with an interfering multipath routing version and the single path routing under different video frame rates. Results show that the proposed interference-aware multipath routing for ZigBee-based WSNs can dramatically reduce the level of interference and thus maximize the overall throughput and improve the received video quality.
Software Defined Privacy

Cloud Computing has been one of the most fascinating and influential technologies in recent years and has literally revolutionised the way we access computing resources by providing a virtually unlimited amount of resources instantaneously. Despite this seemingly amazing breakthrough, there are still some clouds on the horizon, preventing the paradigm from an even greater impact: While most technological issues are solved or nearly solved, two major areas still not only lack appropriate mitigations, but even a thorough understanding: Fear of privacy and security issues as well as a lack of control over own data remain the biggest obstacles towards a wider adoption of Cloud Computing. In this paper, we argue that existing solutions to protect users' privacy are not enough as they only focus on a single aspect at a time while being too complex. Instead, we present a novel concept called "Software Defined Privacy" which allows easy orchestration of existing tools to describe and enforce privacy requirements of an IaaS Cloud Customer.
Wireless Sensor Network Application for Environmental Impact Analysis and Control

Traditional Wireless Sensor Networks (WSNs) applications take advantage of the new low cost low power consuming integrated sensors that appear with the evolution of Micro Electromechanical Systems (MEMS). This kind of sensors is suitable for WSNs, due to the reduced size, their interfaces and their low power consumption. However, during the last years, WSNs have found new niches of application where such sensors are not usable, due to the nature of the parameter to be measured. In these scenarios, new approaches must be taken in order to satisfy the requirements. But new problems appear, like cost and size increase. In this paper, an application where parameters like gas concentration, conductivity or pH have to be measured in a coffee factory is presented. The drawbacks of such a solution are highlighted, and the solution in the field of the wireless sensor networks adopted is detailed.
OPTIMAL CONTROL DESIGN FOR POLYNOMIAL NONLINEAR SYSTEMS USING SUM OF SQUARES TECHNIQUE WITH GUARANTEED LOCAL OPTIMALITY

This paper deals with a computational approach to find the optimal control for nonlinear systems with polynomial vector fields. The approach involves four steps to find global optimality. First, local optimal control is found for the linearized part of the system and the quadratic part of the given performance index. Second, the density function method is used to find a stabilizing polynomial control for the nonlinear system. Third, the corresponding Lyapunov function is found for the control. Finally, the pair of control and its Lyapunov function are iteratively updated, using SOSTOOLS, for global optimal control. Numerical examples illustrate the effectiveness of the design approach. Keywords—nonlinear systems, optimal control, sum of squares
A Graph-Based Approach to Symmetry Detection

Symmetry detection aims at discovering redundancy in the form of reoccurring structures in geometric objects. In this paper, we present a new symmetry detection algorithm for geometry represented as point clouds that is based on analyzing a graph of surface features. We combine a general feature detection scheme with a RANSAC-based randomized subgraph searching algorithm in order to reliably detect reoccurring patterns of locally unique structures. A subsequent segmentation step based on a simultaneous region growing variant of the ICP algorithm is applied to verify that the actual point cloud data supports the pattern detected in the feature graphs. We apply our algorithm to synthetic and real-world 3D scanner data sets, demonstrating robust symmetry detection results in the presence of scanning artifacts and noise. The modular and flexible nature of the graph-based detection scheme allows for easy generalizations of the algorithm, which we demonstrate by applying the same technique to other data modalities such as images or triangle meshes.
Antiproliferative and Antiestrogenic Activities of Bonediol an Alkyl Catechol from Bonellia macrocarpa

The purpose of this study was to investigate antiproliferative activity of bonediol, an alkyl catechol isolated from the Mayan medicinal plant Bonellia macrocarpa. Bonediol was assessed for growth inhibition of androgen-sensitive (LNCaP), androgen-insensitive (PC-3), and metastatic androgen-insensitive (PC-3M) human prostate tumor cells; toxicity on normal cell line (HEK 293) was also evaluated. Hedgehog pathway was evaluated and competitive 3H-estradiol ligand binding assay was performed. Additionally, antioxidant activity on Nrf2-ARE pathway was evaluated. Bonediol induced a growth inhibition on prostate cancer cell lines (IC50 from 8.5 to 20.6 µM). Interestingly, bonediol binds to both estrogen receptors (ERα (2.5 µM) and ERβ (2.1 µM)) and displaces the native ligand E2 (17β-estradiol). No significant activity was found in the Hedgehog pathway. Additionally, activity of bonediol on Nrf2-ARE pathway suggested that bonediol could induce oxidative stress and activation of detoxification enzymes at 1 µM (3.8-fold). We propose that the compound bonediol may serve as a potential chemopreventive treatment with therapeutic potential against prostate cancer.
Managing Organizational Effectiveness through Talent Management and Career Development: The Mediating Role of Employee Engagement

Considerable research has performed to link the individual development strategies into organizational performance, but less is known about the role of talent management and career development in enhancing the organizational effectiveness. In the current study, we investigate how talent management and career development direct or indirect effect organizational effectiveness. Moreover, the present study also pursues to test the mediating role of employee engagement in the association between talent management and organizational effectiveness, and career development and organizational effectiveness. Using the survey method, data was collected from permanent employees of commercial banks and the proposed model was tested through structural equation modeling in AMOS. The results suggest that talent management has a substantial effect on employee engagement and organizational effectiveness. Career development has a significant effect on employee engagement and organizational effectiveness. Moreover, employee engagement significantly mediates the relationship between individual development practices (talent management and career development) and organizational effectiveness. The present study guides the bank's management to focus on individual development practices and offer development opportunities to their employees for creating competitive advantage and boosting organizational performance. Finally, the study implications and future research directions are discussed.
A review on developing status of stereo video technology

The paper focuses on the production, coding, transfer and receiving display of 3D video technology and mainly describes the mainstream and hot issue of disparity estimation of two way light signals. Coding technology of two ways video streaming is also deeply described. Pointing out that multi-view video and coding is the developing direction. The combination of sports/parallax estimation and fast algorithm such as fractal video coding and wavelet video coding is applied to the most advanced coding standard. Passive glasses style is the transition of 3D television for current period of time. The holographic stereo technology will be deeply developed in the future.
Mediating the Mediator: The Indirect Effect of Short-Term Hostility on the Past Reactive Criminal Thinking–Future Reactive Criminal Thinking Relationship

ABSTRACT The current study sought to determine whether short-term hostility mediated reactive criminal thinking (RCT) just as RCT mediates the past crime‒future crime relationship. Using the first four waves of data from the Pathways to Desistance study, a series of three causal mediation analyses were performed on all 1,354 (1,170 males, 184 females) members of the Pathways study. Findings from the first analysis revealed that while short-term hostility mediated the relationship between past and future RCT, it did not mediate the past proactive criminal thinking (PCT)‒future PCT relationship. The outcome of the second analysis revealed that the effect was specific to hostility in that an alternate affective state (depression) had no mediating effect on the past‒future RCT relationship. A third analysis generated support for a mediation-within-mediation effect whereby RCT mediated crime continuity and was, in turn, mediated by short-term hostility in a five-wave serial multiple mediation model.
Size-Effect Testing of Cohesive Fracture Parameters and Nonuniqueness of Work-of-Fracture Method

The cohesive crack model has been widely accepted as the best compromise for the analysis of fracture of concrete and other quasibrittle materials. The softening stress-separation law of this model is now believed to be best described as a bilinear curve characterized by four parameters: the initial and total fracture energies Gf and GF, the tensile strength ft′, and the knee-point ordinate σ1. The classical work-of-fracture test of a notched beam of one size can deliver a clear result only for GF. Here it is shown computationally that the same complete load-deflection curve can be closely approximated with stress-separation curves in which the ft′ values differ by 77% and Gf values by 68%. It follows that the work-of-fracture test alone cannot provide an unambiguous basis for quasibrittle fracture analysis. It is found, however, that if this test is supplemented by size-effect testing, all four cohesive crack model parameters can be precisely identified and the fracture analysis of structures becomes una.
Behaviour generation in humanoids by learning potential-based policies from constrained motion

Movement generation that is consistent with observed or demonstrated behaviour is an efficient way to seed movement planning in complex, high-dimensional movement systems like humanoid robots. We present a method for learning potential-based policies from constrained motion data. In contrast to previous approaches to direct policy learning, our method can combine observations from a variety of contexts where different constraints are in force, to learn the underlying unconstrained policy in form of its potential function. This allows us to generalise and predict behaviour where novel constraints apply. We demonstrate our approach on systems of varying complexity, including kinematic data from the ASIMO humanoid robot with 22 degrees of freedom.
Ovarian Mature Cystic Teratoma: Challenges of Surgical Management

Although ovarian mature cystic teratomas are the commonest adnexal masses occurring in premenopausal women, there are many challenges faced by gynecologists on deciding upon the best surgical management. There is uncertainty, lack of consensus, and variation in surgical practices. This paper critically analyzes various surgical approaches and techniques used to treat these cysts in an attempt to outline a unified guidance. MEDLINE and EMBASE databases were searched in January 2015 with no date limit using the key words “ovarian teratoma” and “ovarian dermoid. ” The search was limited to articles in English language, humans, and female. The two authors conducted the search independently. The laparoscopic approach is generally considered to be the gold standard for the management. Oophorectomy should be the standard operation except in younger women with a single small cyst. The risk of chemical peritonitis after contents spillage is extremely rare and can certainly be overcome with thorough peritoneal lavage using warmed fluid. There is a place for surveillance in some selected cases.
Annotation of Heterogeneous Database Content for the Semantic Web

This paper discusses the problem of annotating semantically inter- linked data that is distributed in heterogeneous databases. The proposed solution is a semi-automatic process that enables annotation of database contents with shared ontologies with little adaptation and human intervention. A technical so- lution to the problem based on semantic web technologies is proposed and its demonstrational implementation is discussed. The process has been applied in creating the content for the semantic portal MUSEUMFINLAND, a deployed Se- mantic Web application.
Aspects of Lyee Configuration Management

Based on the static structure of Lyee programs, a configuration management concept for Lyee software projects is presented. After describing a modularization concept which is vital for configuration management, the configuration management concept itself is elaborated by showing the involved elements and procedures. Finally, the structure of the actual configuration management tool is presented and discussed.
Some Classes Containing a Fork Algebra Equivalent Variety Involving Projections

Some varieties that are extensions of relational algebras with two constants that play the role of projections are studied. The classes have as a subvariety the abstract fork algebra (AFA) equivalent variety involving projections. They are obtained by weakening some laws valid in AFA. Some applications of the varieties in the literature and in the specification of abstract data types are exhibited. For each of the classes obtained, an answer is given to the question: “Is the relational reduct of the class representable? ”. For the subvarieties formed with the models that have a repressentable relational reduct, a repressentation theorem is proved. For them the finitization problem is studied. Next the varieties presented are compared by means of the inclusion order. For each class the problem of characterizing finite models is considered. Simple models in the varieties are studied. Finally, the existence of equivalent classes with a binary operation like fork is studied.
DCD-RLS Adaptive Filters With Penalties for Sparse Identification

In this paper, we propose a family of low-complexity adaptive filtering algorithms based on dichotomous coordinate descent (DCD) iterations for identification of sparse systems. The proposed algorithms are appealing for practical designs as they operate at the bit level, resulting in stable hardware implementations. We introduce a general approach for developing adaptive filters with different penalties and specify it for exponential and sliding window RLS. We then propose low-complexity DCD-based RLS adaptive filters with the lasso, ridge-regression, elastic net, and penalties that attract sparsity. We also propose a simple recursive reweighting of the penalties and incorporate the reweighting into the proposed adaptive algorithms to further improve the performance. For general regressors, the proposed algorithms have a complexity of operations per sample, where is the filter length. For transversal adaptive filters, the algorithms require only operations per sample. A unique feature of the proposed algorithms is that they are well suited for implementation in finite precision, e.g., on FPGAs. We demonstrate by simulation that the proposed algorithms have performance close to the oracle RLS performance.
PINK1 Deficiency Attenuates Astrocyte Proliferation Through Mitochondrial Dysfunction, Reduced AKT and Increased p38 MAPK Activation, and Downregulation of EGFR

PINK1 (PTEN induced putative kinase 1), a familial Parkinson's disease (PD)‐related gene, is expressed in astrocytes, but little is known about its role in this cell type. Here, we found that astrocytes cultured from PINK1‐knockout (KO) mice exhibit defective proliferative responses to epidermal growth factor (EGF) and fetal bovine serum. In PINK1‐KO astrocytes, basal and EGF‐induced p38 activation (phosphorylation) were increased whereas EGF receptor (EGFR) expression and AKT activation were decreased. p38 inhibition (SB203580) or knockdown with small interfering RNA (siRNA) rescued EGFR expression and AKT activation in PINK1‐KO astrocytes. Proliferation defects in PINK1‐KO astrocytes appeared to be linked to mitochondrial defects, manifesting as decreased mitochondrial mass and membrane potential, increased intracellular reactive oxygen species level, decreased glucose‐uptake capacity, and decreased ATP production. Mitochondrial toxin (oligomycin) and a glucose‐uptake inhibitor (phloretin) mimicked the PINK1‐deficiency phenotype, decreasing astrocyte proliferation, EGFR expression and AKT activation, and increasing p38 activation. In addition, the proliferation defect in PINK1‐KO astrocytes resulted in a delay in the wound healing process. Taken together, these results suggest that PINK1 deficiency causes astrocytes dysfunction, which may contribute to the development of PD due to delayed astrocytes‐mediated repair of microenvironment in the brain.
Kar9p Is a Novel Cortical Protein Required for Cytoplasmic Microtubule Orientation in Yeast

kar9 was originally identified as a bilateral karyogamy mutant, in which the two zygotic nuclei remained widely separated and the cytoplasmic microtubules were misoriented (Kurihara, L.J., C.T. Beh, M. Latterich, R. Schekman, and M.D. Rose. 1994. J. Cell Biol. 126:911–923.). We now report a general defect in nuclear migration and microtubule orientation in kar9 mutants. KAR9 encodes a novel 74-kD protein that is not essential for life. The kar9 mitotic defect was similar to mutations in dhc1/dyn1 (dynein heavy chain gene), jnm1, and act5. kar9Δ dhc1Δ, kar9Δ jnm1Δ, and kar9Δ act5Δ double mutants were synthetically lethal, suggesting that these genes function in partially redundant pathways to carry out nuclear migration. A functional GFP-Kar9p fusion protein localized to a single dot at the tip of the shmoo projection. In mitotic cells, GFP-Kar9p localized to a cortical dot with both mother–daughter asymmetry and cell cycle dependence. In small-budded cells through anaphase, GFP-Kar9p was found at the tip of the growing bud. In telophase and G1 unbudded cells, no localization was observed. By indirect immunofluorescence, cytoplasmic microtubules intersected the GFP-Kar9p dot. Nocodazole experiments demonstrated that Kar9p's cortical localization was microtubule independent. We propose that Kar9p is a component of a cortical adaptor complex that orients cytoplasmic microtubules.
Asymptotic behavior of a stochastic combustion growth process

We study a continuous time growth process on the d-dimensional hypercubic lattice Zd , which admits a phenomenological interpretation as the combustion reaction A + B → 2A, where A represents heat particles and B inert particles. This process can be described as an interacting particle system in the following way: at time 0 a simple symmetric continuous time random walk of total jump rate one begins to move from the origin of the hypercubic lattice; then, as soon as any random walk visits a site previously unvisited by any other random walk, it creates a new independent simple symmetric random walk starting from that site. Let Pd be the law of such a process and S0 d (t) the set of sites visited at time t . We prove that there exists a bounded, nonempty, convex set Cd ⊂ Rd such that for every > 0, Pd -a.s. eventually in t , the set S0 d (t) is within an t distance of the set [Cd t], where for A ⊂ Rd we define [A] := A ∩ Zd . Furthermore, answering questions posed by M. Bramson and R. Durrett, we prove that the empirical density of particles converges weakly to a product Poisson measure of parameter one, and moreover, for d large enough, we establish that the set Cd is not a ball under the Euclidean norm.