Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Work-Life Balance Effect on Employee Performance of Nurses in Type B Hospital in Batam City

This research was conducted with the aim of knowing the effect of independent variables on employee performance variables mediated by two mediating variables. The independent variable used in this study is Work-Conflict Priority Family and Employee Assistant Program, then the mediation variables used are Competence and Training. The method in this study uses primary data by distributing questionnaires manually and using a google form that is distributed to nurses inpatient type B hospitals in Batam City.175 data sets of this study were processed using Smart Pls 3.0 and SPSS. The results show that there are significant differences between work-family priority conflicts and employee assistant programs on employee performance mediated by competence and training.
Quantification of nutrient and phytoconstituent in fresh and dehydrated Piper betel Leaf

Piper betel leaf of its green heart shaped leaves belongs to the family Piperaceae rich in macro and micro nutrients, vitamins, phytochemicals, antioxidant and anticancer activity. In this study macro and micronutrients of fresh and dehydrated betel leaves were analyzed. Carbohydrate content of fresh and dehydrated Piper betel leaf ranged from 6g to 12g, protein had 2.63g to 3.21g and fat ranged from 1g to 1.8g of fresh and dehydrated Piper betel leaf. Fiber composition in dehydrated and fresh Piper betel leaf ranged from 7.64g to 9.7g. Micronutrients include calcium, phosphorus, β carotene possess higher activity in dehydrated than fresh Piper betel leaf and iron showed identical results that is 3mg.Quantification of phytochemical analysis are done using aqueous and ethanolic extract of fresh and dehydrated Piper betel leaf. Total antioxidant activity of aqueous and ethanolic extract of fresh and dehydrated Piper betel leaf were analyzed.
Privacy of IoT-Enabled Smart Home Systems

Digital ecosystems are going through a period of change due to the advancement in technologies such as Internet of Things (IoT) as well as proliferation of less expensive hardware sensors. Through this chapter, we present current emerging trends in IoT in different industry sectors as well as discuss the key privacy challenges impeding the growth of IoT to reach its potential in the smart home context. The majority of the existing literature on IoT smart home platforms focuses on functionalities provided by smarter connected devices; however, it does not address the concerns from a consumer’s viewpoint. Thus, the key questions are: What are the privacy concerns related to IoT, particularly from a “smart home device” consumer viewpoint? What are the existing remedial approaches for privacy management? This chapter proposes a framework to assist smart home user and IoT device manufacturer to make informed privacy management decisions. The findings of this research intend to help practitioners and researchers interested in the privacy of IoT-enabled smart systems.
Molecular characterization and functional analysis of two new β‐1,4‐endoglucanase genes (Ha‐eng‐2, Ha‐eng‐3) from the cereal cyst nematode Heterodera avenae

Parasitism genes encoding secretory proteins expressed in the pharyngeal glands of plant-parasitic nematodes play a crucial role in nematode parasitism of plants. Two new β-1,4-endoglucanase genes (Ha-eng-2 and Ha-eng-3) expressed in the pharyngeal glands of the sedentary cyst nematode, Heterodera avenae, were cloned. Both of the predicted proteins have a putative signal peptide for secretion and a catalytic domain. Neither peptide linkers nor cellulose binding domains were present. In situ hybridization showed that the transcripts of Ha-eng-2 and Ha-eng-3 accumulated specifically in the two subventral gland cells of H. avenae. RT-PCR analysis confirmed that their transcriptions were strong in the preparasitic and early parasitic second-stage juveniles, and were undetectable at the late parasitic stages of the nematode. Cellulase activities of the recombinant proteins HA-ENG-2 and HA-ENG-3 were confirmed in vitro. Knocking down Ha-eng-2 using RNA interference reduced nematode infectivity by 40%. The results indicate that these β-1,4-endoglucanases can be secreted into plant tissues and play an important role in the wall degradation of plant cells during penetration and the migration of second-stage juveniles in host roots.
Mixing and Matching: Complementary Research Methods to Study Regulatory Arrangements Case Studies of Multilevel Regulatory Arrangements: Energy and Telecommunication in Belgium Panel: “Regulatory Governance in Network Industries” ECPR Standing Group on Regulatory Governance, 17-19 June 2010, Dublin

In the post-liberalisation area, utility companies operate in a context of multilevel regulation, involving a wide set of authorities with general or sector-based competencies. The literature points out that the presence of a multitude of regulatory actors may have disadvantages, such as a lack of transparency, redundancy in interventions, high administrative burdens for companies, risk of blame shifting between regulatory actors, and blind spots in rule enforcement. Previous research has tempered these predictions, and pointed out that coordination mechanisms limit the amount of overlaps and blind spots in the multilevel regulatory arrangements. To understand a regulatory arrangement, it is therefore necessary for researchers to ascertain both the level of proliferation and of coordination between all regulatory actors. Classic research tools can identify structural and procedural coordination instruments, but this gives only a partial view of the interactions amongst these actors, and between public actors and private companies. Social network analysis has the potential to be a powerful new research instrument, complementing data on procedural and structural coordination instruments, thus providing us with a more complete picture of how the different actors 1 This paper has been prepared within the framework of the ongoing REGUNET-project. This research project of the Belgian Federal Science Office is realised in execution of the Research Programme “Society and Future”. Several public and private organisations, among which the Belgian sector regulators, are participating willingly in the REGUNET-project, and have been quite forthcoming with information. However, the authors would like to stress that all data gathering and conclusions reached in this paper are their sole responsibility. The aforementioned organisations have never authorized or have been asked to authorize in any way the content of this paper.
Bridging the gaps: Improving First Year Experience and the quality of engagement for all students at the University of Newcastle

It is widely acknowledged that students who have a positive transition into University are more likely to succeed academically and less likely to withdraw from their studies and university. Accordingly, First Year Experience (FYE) initiatives have been implemented across Universities to assist in the transitional phase. However, despite the success of these programs, in many instances they have at best been fragmented and/or dependent on individual staff members. As noted by Craig McInnes (2003) one of the greatest challenges in engaging students will involve “[B]ridging the gaps between academic, administrative and support programs. ” This paper traces the way in which the University of Newcastle is building bridges across those gaps resulting in an enhanced engagement for all students. In 1999 one of the co‐authors of this paper introduced a peer‐mentoring program named SOS (initially ‘Students for Other Students’ later changed to ‘Supporting Other Students’) at the Ourimbah campus of the University of Newcastle (Stone, 2000). The success of this program and the closer integration between the two campuses in 2006 prompted an initiative to extend it to the larger Callaghan campus at Newcastle. The marked differences between the two campuses particularly with respect to student numbers (Callaghan with over 20,000 students and Ourimbah with under 4,000 students) presented some challenges. To ensure a successful introduction of the SOS program, in 2007 it was trialled in two Faculties; Business and Law and Science and Information Technology as well as in one other degree program; Bachelor of Nursing. While it could be expected that this would enhance the transitional experience for the First Year students, a survey undertaken by the mentors provides evidence that, in addition, the mentors’ participation in the program greatly increased their engagement with the University, staff and their studies. This paper also explores the other ways in which an integrated approach between academic, administrative and support programs is being developed at the University of Newcastle, in order to achieve quality outcomes for the FYE and the wider University community.
Finite element modelling of asphalt concrete microstructure

Little progress has been achieved in the past relating the mechanical behaviour of asphalt concrete (AC) to its microscopic structure. The significant influence of microstructure on the response of asphalt composite material to traffic and thermal stresses, explains the difficulties encountered in attempting to predict AC performance, based on laboratory test results. This fact is a consequence of the vast differences between the microstructure of AC constructed in the field and that produced in the laboratory (e.g., rotational position, location of aggregates, and boundary characteristics of cores or laboratory samples). The same applies to AC field performance compared to the results of laboratory testing. For these reasons, no widely accepted relationships between laboratory test results and actual field performance have emerged. Few numerical attempts have been reported in the literature to model the geometry of AC microstructure, due to the complex fabric of the material and its complicated internal material behaviour. This paper describes a numerical approach to modelling and analyzing microstructure geometry and the characteristics of AC. This 2-D qualitative finite element (FE) model based on micro structure mesh, proved to be a very useful analytical tool for a better understanding of AC material response to various climatic and loading conditions. Examples of 2-D FE analyses are presented along with a laboratory test example.
Activation of Hippocampal Nuclear Factor-κB by Retrieval Is Required for Memory Reconsolidation

Initially, memory is labile and requires consolidation to become stable. However, several studies support that consolidated memories can undergo a new period of lability after retrieval. The mechanistic differences of this process, termed reconsolidation, with the consolidation process are under debate, including the participation of hippocampus. Up to this point, few reports describe molecular changes and, in particular, transcription factor (TF) involvement in memory restabilization. Increasing evidence supports the participation of the TF nuclear factor-κB (NF-κB) in memory consolidation. Here, we demonstrate that the inhibition of NF-κB after memory reactivation impairs retention of a hippocampal-dependent inhibitory avoidance task in mice. We used two independent disruptive strategies to reach this conclusion. First, we administered intracerebroventricular or intrahippocampal sulfasalazine, an inhibitor of IKK (IκB kinase), the kinase that activates NF-κB. Second, we infused intracerebroventricular or intrahippocampal κB decoy, a direct inhibitor of NF-κB consisting of a double-stranded DNA oligonucleotide that contains the κB consensus sequence. When injected immediately after memory retrieval, sulfasalazine or κB decoy (Decoy) impaired long-term retention. In contrast, a one base mutated κB decoy (mDecoy) had no effect. Furthermore, we also found NF-κB activation in the hippocampus, with a peak 15 min after memory retrieval. This activation was earlier than that found during consolidation. Together, these results indicate that NF-κB is an important transcriptional regulator in memory consolidation and reconsolidation in hippocampus, although the temporal kinetics of activation differs between the two processes.
Quality Assessment and Knowledge Discovery for Chinese Systematic Review/Meta-analysis of Hypertension Prevention and Control

Systematic Review/Meta-analysis is the essential source of best evidence in medical research and its quality is necessary to assess due to the difference among researchers. The AMSTAR, PRISMA, cited frequency and downloads were used to assess the quality of domestic systematic review/meta-analysis about hypertension prevention and control from three perspectives including methodology, reporting and usage, and then discovered the evidence from the high methodologically quality literature. The current domestic systematic review/metaanalysis research counters different problems in the quality of methodology, reporting and usage, and further improvement of the methodological and standardization of the publication are needed to provide achievements and recommendations with a high evidence level. Keywords—Hypertension, Systematic Review, Meta-analysis, Quality assessment, Knowledge Discovery
Enhancing rural teachers’ instructional decision making: An application of the SOLO model1)

This paper reports on the underlying theory base and implications for practice of two large-scale research projects carried out in rural and regional schools in Australia by teams of academics associated with the SiMERR National Centre. The research was a collaborative effort with funding provided by the Australian Quality Teacher Project and the Australian Research Council. The two research projects ran for a two-year and three-year period with the Catholic Schools Office in the Diocese of Armidale and the New South Wales Department of Education, respectively. Both projects aimed at empowering groups of teachers in rural areas to develop and use theoretically-based knowledge about assessment to improve teaching in ways that best fit their students’ needs. To achieve this, teachers were required to assess the quality of their students’ learning, and to use the information obtained to inform where teaching might start and in what direction to best proceed. The driving philosophy of the research was that student learning and, consequently, well-being is enhanced when instructional decision making involves teachers understanding what knowledge their students posses, and the nature/quality of that knowledge in order to build upon students’ understanding. This paper (i) describes briefly the background to the projects and rationale; (ii) explores the theoretical framework, referred to as the SOLO model; and (iii) discusses some findings and implications associated with the use of the SOLO model by rural teachers.
Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics

A challenge in digital learning games is assessing students’ learning behaviors, which are often intertwined with game behaviors. How do we know whether students have learned enough or needed more practice at the end of their game play? To answer this question, we performed post hoc analyses on a prior study of the game Decimal Point , which teaches decimal numbers and decimal operations to middle school students. Using Bayesian Knowledge Tracing, we found that students had the most diﬃculty with mastering the number line and sorting skills, but also tended to over-practice the skills they had previously mastered. In addition, using students’ survey responses and in-game measurements, we identiﬁed the best feature sets to predict test scores and self-reported enjoyment. Analyzing these features and their connections with learning outcomes and enjoyment yielded useful insights into areas of improvement for the game. We conclude by highlighting the need for combining traditional test measures with rigorous learning analytics to critically evaluate the eﬀectiveness of learning games.
Recursive Least-Squares Algorithm for Blind ISI Cancelation in Multiuser Systems

:- This paper proposes a new blind ISI cancelation method that involves the use of two RLS-based adaptive (cid:12)lters. By minimizing the distance between the output of the (cid:12)lter and a reference signal for both (cid:12)lters, the output of one (cid:12)lter turns out to be exactly equal to the ISI component of the output of the other (cid:12)lter. The di(cid:11)erence between the output of these (cid:12)lters is an ISI-free estimate of the signal. Computer simulation has been conducted to illustrate the performance of this new method.
COMPETITIVENESS IMPROVEMENT STRATEGY FORMULATION ON INDIVIDUAL HOTEL: CASE OF XYZ HOTEL AT CITY OF BOGOR

Proportional to the growth of tourism industry in Indonesia, the city of Bogor has experienced an increase in the number of tourists, where it is followed by the growing number of hotels, including the brand-affiliated hotels. As a result, the independent hotels are at risk to experience a decrease in occupancy rate, including Hotel XYZ. Therefore, it is important for independent hotels to increase their performance thus their priceremains competitive in the market. This study aims to identify the internal and external factors of Hotel XYZ, and to formulate the strategy to increase Hotel XYZ’s competitiveness. The methods employed in this study are as follows: VRIO, PESTLE, Five Forces Porter, IFE, EFE, TOWS, and Strategic Architecture. IFE analysis shows that the employees’ loyalty and the wide area (land) have the same weighted value of 0.451. The main weakness of Hotel XYZ is the low level of education of the employees, with the weighted value of 0.223. EFE demonstrated that the main opportunity of Hotel XYZ is the technology advancement that has improved the business process to be easier, with the weighted value of 0.465. In the other hand, the main threat of Hotel XYZ is the growth of similar business thus leaving consumer with many options, with weighted value of 0.223. TOWS Matrix produced 10 alternative strategies, which then developed to the Strategic Architecture. The strategic architecture isdivided into four periods with each duration of one and a half year.
The Impressive Effects of Tutoring on Prek-12 Learning: A Systematic Review and Meta-Analysis of the Experimental Evidence

Tutoring—defined here as one-on-one or small-group instructional programming by teachers, paraprofessionals, volunteers, or parents—is one of the most versatile and potentially transformative educational tools in use today. Within the past decade, dozens of preK-12 tutoring experiments have been conducted, varying widely in their approach, context, and cost. Our study represents the first systematic review and meta-analysis of these and earlier studies. We develop a framework for considering different types of programs to not only examine overall effects, but also explore how these effects vary by program characteristics and intervention context. We find that tutoring programs yield consistent and substantial positive impacts on learning outcomes, with an overall pooled effect size estimate of 0.37 SD. Effects are stronger, on average, for teacher and paraprofessional tutoring programs than for nonprofessional and parent tutoring. Effects also tend to be strongest among the earlier grades. While overall effects for reading and math interventions are similar, reading tutoring tends to yield higher effect sizes in earlier grades, while math tutoring tends to yield higher effect sizes in later grades. Tutoring programs conducted during school tend to have larger impacts than those conducted after school.
Towards Suggesting Actionable Interventions for Wheel Spinning Students

In some computerized educational systems, there is evidence of students wheel-spinning , where a student tries and re-peatedly fails at an educational task for learning a skill. This may be particularly concerning in low resource settings. Prior research has focused on predicting and modeling wheel-spinning, but there has been little work on how to best help students stuck in wheel-spinning. We use past student system interaction data and a minimal amount of expert input to automatically inform individualized interventions, without needing experts to label a large dataset of interventions. Our method trains a model to predict wheel-spinning and utilizes a popular tool in interpretable machine learning, Shapley values, to provide individualized credit at-tribution over the features of the model, including actionable features like possible gaps in prerequisites. In simulation on two diﬀerent statistical student models, our approach can identify a correct intervention with over 80% accuracy before the simulated student begins the activity they will wheel spin on. In our real dataset we show initial qualitative re-sults that our proposed interventions match what an expert would prescribe.
OPTIMUM LOUDSPEAKER ARRANGEMENT OF DYNAMIC CROSSTALK CANCELLATION SYSTEM FOR TWO LISTENERS

Crosstalk cancellation (CTC) allows binaural reproduction through loudspeakers using inverse filter so called CTC filter which cancels transfer functions between loudspeakers and listener’s ears. A CTC system for single listener has been studied from various viewpoints, however CTC systems for multiple listeners has not been studied much yet. The authors have developed dynamic CTC system for multiple listeners and found that the sound localization performance greatly differs depending on the position of the listener relative to loudspeakers. Therefore, for development of multi-listener CTC system, it is necessary to clarify the influence of existence of other listeners and loudspeaker arrangement in dynamic CTC system. In this paper, we investigate the optimum loudspeaker arrangement of dynamic CTC system for two listeners by employing two dummy head microphones and 122ch loudspeaker array.
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication

In this work, we propose a goal-driven collaborative task that combines language, perception, and action. Specifically, we develop a Collaborative image-Drawing game between two agents, called CoDraw. Our game is grounded in a virtual world that contains movable clip art objects. The game involves two players: a Teller and a Drawer. The Teller sees an abstract scene containing multiple clip art pieces in a semantically meaningful configuration, while the Drawer tries to reconstruct the scene on an empty canvas using available clip art pieces. The two players communicate with each other using natural language. We collect the CoDraw dataset of ~10K dialogs consisting of ~138K messages exchanged between human players. We define protocols and metrics to evaluate learned agents in this testbed, highlighting the need for a novel “crosstalk” evaluation condition which pairs agents trained independently on disjoint subsets of the training data. We present models for our task and benchmark them using both fully automated evaluation and by having them play the game live with humans.