Reviewerly/exHarmony huggingface dataset:
P-PLE: Practical Product Line Qualification

Abstract Traditional casing connection qualification programs provide confidence in performance, but at a high price. Manufacturer driven evaluations can be overly conservative in order to minimize development costs and allow the results to be applied to a wide range of applications. Evaluations by operators, either independent or in collaboration with manufacturers, can be customized to achieve the minimum amount of risk possible unique to design. Either option may limit the application of the data and can be costly to supplement. Utilizing prior data to compliment an evaluation will reduce scope, minimizing time and cost, but little formal guidance exists as to how to do this. Workgroups, such as the Product Line Evaluation (PLE) for Thermal Well Connections have created extensive guidance as to how to apply previous work to connection families, yet this remains confidential to the work group. Standards, such as ISO/PAS 12835 formally address the use of previous data in an evaluation, but do not offer guidance as to how to apply it. EVRAZ NA has experience working with clients to develop programs that combine existing data with benchtop/FEA based testing to minimize cost and risk. In this paper, examples of these evaluations will be discussed with the techniques used. This will demonstrate how confidence was built while not only saving time, but critically, cost to achieve an acceptable level of risk.
PENGARUH MODEL PROBLEM BASED LEARNING TERHADAP KETERAMPILAN MENULIS TEKS FABEL SISWA KELAS VII SMP NEGERI 19 PADANG

ABSTRACTThe purpose of this study is (1) to determine the level of skill of writing disscusion text of grade VIII of SMP Negeri 19 Muara Padang before using problem based learning model. (2) to determine the level of writing’s skill on fable text of grade VII of SMP Negeri 19 Padang after using problem based learning model. (3) analyze the effect application problem based learning model assisted to the skill of writing fable text in grade VII students of SMP Negeri 19 Padang. This type of research is quantitative experimental method. Based on data analysis, using problem based learning model toward students writing’s skill on fable text in grade VII students of SMP Negeri 19 Padang.Kata Kunci: Pengaruh Model Problem Based Solving, Keterampilan Menulis Teks Tabel
Pengembangan Instrumen Keterlibatan Orangtua Dalam Menumbuhkan Minat Baca

The considerations for this research are (1) growing interest in reading is the duty of parents, but what forms of parental involvement are not widely understood. (2) the dynamics of the problem of parenting skills are very interesting, progressive and urgent to continue to be studied because the acceleration of the digital era requires parents to be more responsive and literate (3) there are still few studies that discuss the development of parental involvement instruments in fostering reading interest both quantitatively and qualitatively. So that developing an instrument that can provide information on the extent of parental involvement in fostering reading interest is the aim of this study. The research stages are carried out by (1) affirming the measuring area; (2) writing items; (3) testing; and (4) psychometric analysis using quantitative methods. Therefore, this research instrument uses a questionnaire prepared based on the literature review process that supports the research variables. Furthermore, the questionnaire is tested for content validity by an expert (Expert Judgment) to conduct a study and selection of items for each indicator. In this process, 40 items from 82 items were selected, as a result of this study. The trial was carried out on the research subjects, namely parents who have children aged from early childhood to elementary school with a total of 521 respondents. While the reliability test of this questionnaire shows the Cronbach Alpha coefficient = 0.941, which means that in psychomoteric analysis this instrument has perfect internal consistency. Based on these data, it can be concluded that the instrument developed can measure the extent to which parents are involved in fostering children's reading interest.
Mineral-Resource Analysis in Canada

In Canada, mineral statistics are collected and mineral resources are analyzed by both government and private organizations. Published mineral-resource reports of Canada's Department of Energy, Mines and Resources and of the Centre for Resource Studies in Kingston, Ontario illustrate the types of analyses that provide essential information about mineral-industry activities from exploration through refined materials. International comparisons of the types of information available to policymakers may provide some insight into the nature of national mineral policies. Reasons for the high quality of and emphasis given to mineral resource analysis in Canada include the importance of the mineral industry to the national economy, the constitutional framework that encourages provincial interest in policy-oriented research, and the rapport between government officials and researchers with their counterparts in industry. 38 references, 8 figures.
2. Investigating crime

‘Investigating crime’ explains how the police investigate criminal activity, setting out some of the principles and procedures involved and how forensic science provides them with answers. Radical changes in English law and forensic science practices resulted in the introduction of formal quality assurance systems to standardize laboratory practices and the Police and Criminal Evidence Act (1984), which specifies how police deal with accused persons, go about their investigations, and are accountable for their actions. The ‘trace, interview, eliminate’ (TIE) method of systematic elimination of individuals from an investigation is described, as well as the role of digital forensics to extract and interpret data from a wide range of devices.
Style and Software Documentation: A Central Concern

Style, the linguistic expression of thought for presentation to an audience, while figuring centrally in the formal, academic study of rhetoric and communication, seldom enjoys the same status in software documentation. While juggling multiple documentation projects for new products, product revisions, and product updates, communicators are frequently pressured to let stylistic concerns take a back seat to getting the project out. The term “usability” is found less frequently in these texts than is “readability.” As a result, the “how to” books surveyed here give fewer examples of how to make stylistic decisions based on usability information or findings. “Usability” is a second area of scholarship that suggests the central importance of stylistic decisions in software documentation. The concept of usability is intriguing to scholars of technical communication and to software documentation practitioners because it provides both broadly descriptive data and productive design information.
Guidelines for Autonomic Service Agents

This document proposes guidelines for the design of Autonomic ServiceAgents for autonomic networks. It is based on the Autonomic NetworkInfrastructure outlined in the ANIMA reference model, making use ofthe Autonomic Control Plane and the Generic Autonomic SignalingProtocol.
Developing a State-Wide Energy Assurance Plan: Course + Work = Success

Abstract Developing a State-Wide Energy Assurance Plan: Course + Work = Success The Department of Energy (DOE) mandates that each state prepare an energy assuranceplan (EAP), which consolidates energy snapshots for the state along with procedures andstrategies to be employed to address a wide range of energy emergencies. _____ University wascontracted by the State of ____ to develop an EAP. In the spring of 2011, a multidisciplinarystudent team was formed as part of a project-based course to begin the EAP development. Theresult of the semester effort was a compilation of other state EAPs, an outline of the document,and initial development of portions of the EAP. During the summer of 2011, fourteen studentswere hired to work on the EAP and related energy monitoring systems. A significant portion ofthe draft EAP was completed; the following two semesters had smaller teams continue refiningthe document. The paper reports on general aspects of the EAP in order to provide the context, and thenfocuses on the important relationship between project-based coursework and studentemployment opportunities. Some of the challenges in the academic environment include thesometimes competing goals of (1) providing relevant projects based on industry need, and (2) theaccompanying expectations of deliverables, which are often well beyond the scope of a one- ortwo-semester project. Projects that provide sufficient funding for students (undergraduate andgraduate) offer the best way to provide the sophisticated results that many sponsors expect.Having students continue the momentum developed in their class project means that there is acorresponding step increase in their productivity when the summer begins. The EAP teamaccomplished a significant amount of work as measured by the number of chapters, appendixes,and references completed, and the responses of the sponsor during regular project reviews. This approach to the key project-based portion of our curriculum has become a model forhow we solicit and scope projects from outside sponsors. The paper will address other strengthsand weaknesses of the approach.
Telemetry Options for LDB Payloads

The Columbia Scientific Balloon Facility provides Telemetry and Command systems necessary for balloon operations and science support. There are various Line-Of-Sight (LOS) and Over-The-Horizon (OTH) systems and interfaces that provide communications to and from a science payload. This presentation will discuss the current data throughput options available and future capabilities that may be incorporated in the LDB Support Instrumentation Package (SIP) such as doubling the TDRSS data rate. We will also explore some new technologies that could potentially expand the data throughput of OTH communications.
SISTEM KEAMANAN JARINGAN KOMPUTER MENGGUNAKAN SNORT

Network security is an aspect that is always enhanced by the network administrator, the efforts both by optimizing hardware or software. Snort is a detection sensor against abuse on the network, this system functioned as a snort NIDS (Network intrusion  Detection System), which works to detect any attempted intrusion (intrusions). The detection is done based on the rule that has been described by the administrator in the directory rule contained in the configuration file. Snort will analyze every packet and can record every activity performed on a network and report them if there is a potential intrusion on the network. Merging snort with SMS gateway can make the system more responsive to the potential for abuse, the log of alerts will be forwarded to the admin via SMS media, so that administrators can determine the condition of the managed network.
Virtual Simulation Curriculum Integration

Manufacturing simulation is being used extensively to model, analyze, and optimize complex manufacturing operations by many major corporations, including Boeing, Lockheed-Martin, Daimler-Chrysler and Toyota.Companies are utilizing these advanced 3D digital manufacturing tools as a component of their product life-cycle management.In many cases a simulation is mandatory prior to any significant new operation, project or process implementation.Manufacturing technologists and engineers will increasingly need familiarity with these tools and their applications.This becomes even more significant as manufacturing engineering programs evolve to satisfy the increasing demand for engineers to design and implement continuously improving industrial systems and programs.At Ohio Northern University (ONU) this technology is being taught as virtual simulation (VS).This paper explains how VS has been integrated into our curriculum, and has established effective partnerships with local manufacturing companies.
Pembelajaran kubus dan balok dengan penerapan penggunaan model dan kontribusi siswa di kelas VIII SMP Islam Al-Ma'arif 01 Singosari / Ukhti Raudhatul Jannah

PEMBELAJARAN KUBUS DAN BALOK DENGAN PENERAPAN PENGGUNAAN MODEL DAN KONTRIBUSI SISWADI KELAS VIII SMP ISLAM AL-MA’ARIF 01 SINGOSARIUkhti Raudhatul JannahAbstract: To improve students’ mastery or understanding about cubes and blocks subject, this study formulates the problem into “How the learning using the application of the use of model and students’ contribution as one of the effort in improving students’ mastery or understanding concept cubes and blocks subject for the eight graders of SMP Islam Al –Ma’arif 01 Singosari?”.The learning using model and students’ contribution can make the students happy and active in joining the class so that they can construct their own knowledge. Therefore students will find the concept by themselves. The learning stage or phase consists of three, namely the beginning phase, the main phase, and the closing phase. The result of the study is gained from the observation, students’ test result, and interview. The observation shows that the learning of the research are categorized as good and very good respectively. Key words: learning, the use of model, students’ contribution, cubes and blocks
Two proposals to protect a qubit using CQED techniques: Inequality between atomic velocity dispersion and losses of a quantum memory

We present in this paper an analysis of the damage imposed by the atom in the field state inside a lossy superconducting cavity. To access such effects, we propose two procedures to preserve a qubit from the decay effects of an imperfect quantum memory: the first by means of a quasi-instantaneous phase kick applied to the atom and the second by means of controlled resonant and dispersive interactions. We immediately demonstrate that, in both procedures, the qubit dwell time in the cavity increases significantly, being expressively higher for the second. A relationship between the imprecision of the atomic beam preparation and the quality of the cavity emerges naturally from our calculations for each procedure. This result establishes the rules for increasing the qubit dwell time inside the cavity.
Transferring Bulk Data over the GeneRic Autonomic Signaling Protocol (GRASP)

This document describes how bulk data may be transferred betweenAutonomic Service Agents via the GeneRic Autonomic Signaling Protocol(GRASP).
A Systematic Evaluation of Transient Execution Attacks and Defenses

Research on transient execution attacks including Spectre and Meltdown showed that exception or branch misprediction events might leave secret-dependent traces in the CPU's microarchitectural state. This observation led to a proliferation of new Spectre and Meltdown attack variants and even more ad-hoc defenses (e.g., microcode and software patches). Both the industry and academia are now focusing on finding effective defenses for known issues. However, we only have limited insight on residual attack surface and the completeness of the proposed defenses. In this paper, we present a systematization of transient execution attacks. Our systematization uncovers 6 (new) transient execution attacks that have been overlooked and not been investigated so far: 2 new exploitable Meltdown effects: Meltdown-PK (Protection Key Bypass) on Intel, and Meltdown-BND (Bounds Check Bypass) on Intel and AMD; and 4 new Spectre mistraining strategies. We evaluate the attacks in our classification tree through proof-of-concept implementations on 3 major CPU vendors (Intel, AMD, ARM). Our systematization yields a more complete picture of the attack surface and allows for a more systematic evaluation of defenses. Through this systematic evaluation, we discover that most defenses, including deployed ones, cannot fully mitigate all attack variants.
Parasitism – Predation algorithm (PPA): A novel approach for feature selection

Maximizing the classification accuracy and minimizing the number of selected features are the two main incompatible objectives for using feature selection to overcome the curse of dimensionality. “Classification accuracy highly dependents on the nature of the features in a dataset which may contain irrelevant or redundant data. The main aim of feature selection is to eliminate these types of features to enhance the classification accuracy.” This work presents a new meta-heuristic optimization approach, called Parasitism-Predation Algorithm (PPA), which mimics the interaction between the predator (cats), the parasite (cuckoos) and the host (crows) in the crow–cuckoo–cat system model to overcome the problems of low convergence and the curse of dimensionality of large data. The proposed hybrid framework combines the relative advantages of cat swarm optimization (CSO), cuckoo search (CS) and crow search algorithm (CSA) to attain a combinatorial set of features to boost up the classification accuracy. Nesting, parasitism, and predation phases are supposed to help exploration ability and balance in the context of solving classification problems. In addition, Levy flight distribution is applied to help better diversity of conventional CSA and improve ability of exploration. Meanwhile, an effective fitness function is utilized to enable the proposed PPA-based feature selector using K-Nearest Neighbors algorithm (KNN) to attain a combinatorial set of features. The proposed PPA and four standard heuristic search algorithms are looked at to gauge how efficient the proposed option is. Additionally, eighteen classification datasets are deployed to gauges its efficacy. The results highlight that the algorithm proposed is both effective and competitive in terms of performance of classification and dimensionality reduction as opposed to other heuristic options.
Students’ motivational beliefs and strategies, perceived immersion and attitudes towards science learning with immersive virtual reality: A partial least squares analysis

Abstract Researchers have been devoted to exploring the impacts of immersive virtual reality (IVR) on education in recent years. However, efforts to probe the role of students’ learning traits such as motivated strategies for learning in their IVR learning have been limited. Most studies commonly analyzed learners’ perceptions of immersion with a single construct rather than with multiple constructs. Therefore, this study implemented immersive virtual field trips for science learning in three elementary classes (a total of 76 students) for understanding how students’ inherent self‐efficacy, intrinsic value and self‐regulation for science learning related to their perceived immersion (ie, basic attention, temporal dissociation, transportation, emotional involvement, enjoyment) and attitudes (ie, perceived usefulness and behaviors of IVR learning) when engaging in IVR learning environments. The reliability and validity of the constructs in the PLS‐SEM path modeling were first confirmed. This study further identified that motivation of intrinsic value and self‐regulation may play a dominant role in the students’ learning attitudes in IVR environments for science education. It was also verified that the students’ immersive experiences of attention and enjoyment significantly mediated their IVR learning. Notably, the students with lower levels of self‐efficacy may have been more immersed in IVR environments and further held positive learning attitudes. The findings of this study have implications for practicing IVR‐related learning activities in elementary classrooms with considerations of learners’ psychological characteristics and perceived immersion when confronting IVR technology. Practitioner Notes What is already known about this topic Students’ motivational characteristics influences their learning in online environments. Students’ perceived immersion in VR learning context is related to their learning perceptions and predict positive affection. What this paper adds Understanding the structural relationships among young students’ motivational characteristics, perceived immersion, and learning attitudes towards their IVR learning. Identifying a dominant role of motivation of intrinsic value and self‐regulation in students’ learning attitudes in IVR environments for science education. Verifying the mediating effects of immersion on the relationships between motivational characteristics for science learning and learning attitudes. Implications for practice and/or policy IVR‐related learning activities in classrooms may benefit the students with low level of self‐efficacy for science learning. Scaffolding approaches (e.g., prompts for observing virtual elements) might be considered to support those students with limited self‐regulatory skills to learn science in the context of IVR. The immersion factors of basic attention and enjoyment were highlighted when designing or implementing IVR learning activities in classrooms.
An Overview of the Attention Mechanisms in Computer Vision

Abstract Deep convolutional neural network (CNN) plays an important role in the field of computer vision and image processing. In order to further improve the performance of CNN, scholars have conducted a series of new explorations, such as the improvement of activation functions, the construction of new loss functions, the regularization of parameters and the development of new network structures. However, every breakthrough of CNN comes from the innovation of network structure, whose design can be inspired by exploring the cognitive process of human brain. As one of the important features of human visual system, visual attention mechanism is essential in image generation, scene classification, target detection and tracking when applied in the field of computer vision. Focusing on the models of attention mechanisms commonly used in computer vision, their categorizations, principles, and outlook are summarized in this overview.
Augmenting human innovation teams with artificial intelligence: Exploring transformer‐based language models

Abstract The use of transformer‐based language models in artificial intelligence (AI) has increased adoption in various industries and led to significant productivity advancements in business operations. This article explores how these models can be used to augment human innovation teams in the new product development process, allowing for larger problem and solution spaces to be explored and ultimately leading to higher innovation performance. The article proposes the use of the AI‐augmented double diamond framework to structure the exploration of how these models can assist in new product development (NPD) tasks, such as text summarization, sentiment analysis, and idea generation. It also discusses the limitations of the technology and the potential impact of AI on established practices in NPD. The article establishes a research agenda for exploring the use of language models in this area and the role of humans in hybrid innovation teams. (Note: Following the idea of this article, GPT‐3 alone generated this abstract. Only minor formatting edits were performed by humans.)