Web Material Research Articles

Composite Beams Made of Waste Wood-Particle Boards, Fastened to Solid Timber Frame by Dowel-Type Fasteners

To increase the sustainability of prefabricated timber buildings and constructions, composite timber beams with "box" cross-sections were developed in collaboration with an industry partner. They were constructed from a solid timber frame and from webs made of residual waste wood-particle boards from prefabricated timber buildings production. The developed beams' design concepts presented in this paper were governed by architectural features of prefabricated timber buildings, geometrical limitations, available production technology, and structural demand related to various possible applications. The paper presents the results of experimental bending tests of six variations of the developed composite timber beams constructed by mechanical fasteners only. The developed design concept of composite timber beams without adhesives is beneficial compared to glued beams in terms of design for deconstruction and lower VOC emissions. The tests were conducted to study the influence of the following parameters on the beams' mechanical behavior: (i) web material (oriented strand boards (OSBs) vs. cement-particle boards); (ii) the influence of beam timber frame design (flanges and web stiffeners vs. flanges, web stiffeners, and compressive diagonals), and (iii) the influence of stiffener-flange joint design. Besides the beams' load-bearing capacities, their linear and non-linear stiffness characteristics were the main research interest. While adding compressive timber diagonals did not prove to significantly increase the stiffness of the beams in the case of cement-particle board webs, it increased their load-bearing capacity by enabling the failure of flanges instead of prior webs and stiffener-flange joints failure. For beams with OSB webs, failure of the bottom flange was achieved already with the "basic" timber frame design, but timber diagonals proved beneficial to increase the stiffness characteristics. Finally, mechanical characteristics of the developed beams needed in structural design for their application are provided together with further development guidelines.

An Adaptive Sliding Mode Control for Multi-Span Nonlinear Web Material Linkage Systems

This study presents an adaptive controller for multi-span nonlinear web material linkage systems with the characteristic of a variable moment of inertia and operating radius of rolls. Sliding mode control is used to control web tensions as well as velocities of the system due to its robustness against modeling imprecision. In addition, an adaptive law combined with sliding mode control is proposed to estimate the moment of inertia. As a result, the adaptive sliding mode control structure takes advantage of nonlinear sliding mode control and adaptation algorithm to deal with parameter changes. To verify the controller, the stability of the whole system is proved based on Lyapunov’s stability theory. The simulation results illustrate reliable performance by comparing several nonlinear controllers.

Speed and tensile force control of the pulling devices of the continuous line

In cable production, it is imperative to control speed and tension. This paper proposes a web tensile force regulation between input and output pulling caterpillar devices. The web tensile force is controlled indirectly using a PI controller based on feedback information about tensile force using a tensile observer. This paper also deals with the regulation speed of the input-pulling caterpillar device and the speed and torque (current) of output pulling caterpillar device and deals with the effect of line speed on the temperature change at the extruder zones. The input and output-pulling caterpillar devices are connected by the web material that is processed on them. The input and output-pulling caterpillar devices are connected by the web material that is processed on them. The task was realized using a programmable logic controller Micrologix 1200 controller and SIMOREG DC drives, which regulate the input caterpillar's speed and output caterpillar's torque. The identification of separately excited DC motors parameters was made. Models for the input, output caterpillars and web zone were simulated in MATLAB and SIMULINK. The controllers of the current loop, velocity loop, and tension loop are all integral isolated PI regulators. Speed signal is obtained by tacho generator. In practical realization, tensile force is observed directly from the Simoreg DC converter, eliminating the tension sensor. The tensile force controller is realized with the PI controller, which was realized with programmable logic controller. Setting optimal parameters is performed using ITAE criteria. The ITAE function is calculated using a complex Simpson's quadrature formula.

The Goldwater Rule at 50 and its relevance in Europe: Examining the positions of National Psychiatric Association Members of the European Psychiatric Association.

Fifty years after its introduction, the American Psychiatric Association's (APA) Goldwater Rule remains contentious, prohibiting member-psychiatrists from providing mental health commentary on individuals they have not treated and where they lack consent. Whilst its resonance extends beyond the United States, there is limited awareness about the Goldwater Rule's applicability elsewhere, notably within Europe. In 2022, we investigated whether the European Psychiatric Association's (EPA) forty-four National Psychiatric Association Members (NPAs) had similar guidelines to the Goldwater Rule or comparable ethical positions around media and public commentary. We initially searched NPA websites and subsequently contacted NPAs via email and phone. Findings were coded to four categories: "NPA-level rules or position", "No NPA-level rules orposition but noted country-level rules", "No NPA-level rules or position and did not note country-level rules", and "No response". n=27 NPAs had relevant web materials or replied to our correspondence (61.3% of total NPAs). From these 27, based on our interpretation, n=6 (22.2%) had rules or positions, n=6 (22.2%) indicated that country-level rules existed, and n=15 (55.5%) did not have applicable NPA-level or country-level regulations. A sizeable proportion of NPAs included in our study have not yet formally developed or considered ethical issues addressed by the Goldwater Rule and psychiatric commentary on an individual's psychopathology. Accordingly, the EPA could consider broader discussions about this, accounting for national traditions and sociocultural aspects of clinical practice. These could integrate the advantages and disadvantages of the APA's rubric towards an evolved ethical debate.

Big Data Maturity Assessment Models: A Systematic Literature Review

Big Data and analytics have become essential factors in managing the COVID-19 pandemic. As no company can escape the effects of the pandemic, mature Big Data and analytics practices are essential for successful decision-making insights and keeping pace with a changing and unpredictable marketplace. The ability to be successful in Big Data projects is related to the organization’s maturity level. The maturity model is a tool that could be applied to assess the maturity level across specific key dimensions, where the maturity levels indicate an organization’s current capabilities and the desirable state. Big Data maturity models (BDMMs) are a new trend with limited publications published as white papers and web materials by practitioners. While most of the related literature might not have covered all of the existing BDMMs, this systematic literature review (SLR) aims to contribute to the body of knowledge and address the limitations in the existing literature about the existing BDMMs, assessment dimensions, and tools. The SLR strategy in this paper was conducted based on guidelines to perform SLR in software engineering by answering three research questions: (1) What are the existing maturity assessment models for Big Data? (2) What are the assessment dimensions for Big Data maturity models? and (3) What are the assessment tools for Big Data maturity models? This SLR covers the available BDMMs written in English and developed by academics and practitioners (2007–2022). By applying a descriptive qualitative content analysis method for the reviewed publications, this SLR identified 15 BDMMs (10 BDMMs by practitioners and 5 BDMMs by academics). Additionally, this paper presents the limitations of existing BDMMs. The findings of this paper could be used as a grounded reference for assessing the maturity of Big Data. Moreover, this paper will provide managers with critical insights to select the BDMM that fits within their organization to support their data-driven decisions. Future work will investigate the Big Data maturity assessment dimensions towards developing a new Big Data maturity model.

Astoundingly Smart System Furnishing Ranking of Big Data in Search Engines

The abruptly escalating internet is sensational. It inculcates a humungous volume of big data, which is obsolete and tedious to manage, scrutinize, analyze and perform operations upon them in conventional ways. Big data has thus expedited the search and retrieval of information, necessitating the development of contemporary search algorithms to aid this process. However, the primary hindrance for the first and second generations of conventional search engines was the syntax of keywords devoid of semantic meaning and the lack of a knowledge base that linked disparate web material. This article presents a framework based on trendy technologies, specifically Extracting, Transforming and Integrating (ETI) processes, ontology graphs, and indexing Resource Description Framework (RDF) using the wide-column Not only Structured Query Language (NoSQL) method. The most significant contribution in this regard is developing a mathematical model to compute the similarity score between a query and stored RDF documents using semantic relations. Numerous operations were carried out to evaluate the effectiveness of the proposed methodology in installing data sources, such as DBpedia and YAGO dataset. Insofar as experimental results are concerned, the suggested model achieves greater precision than other comparable systems.

Smart Watch System

Wearable technology used in daily life is the smartwatch (SW). It has features akin to those of a smartphone and is comparable to a traditional wristwatch. Access to the internet, calling, weather updates, text or video communications, GPS navigation, health and fitness data, etc. are some of these functions. The market for wearable technology and SWs is expanding daily. Smartwatches have a variety of advantages and disadvantages in medical settings. Reviewing the literature on smart watch applications in the biomedical field is the goal of this essay. This document gathers all the data about SW technology in the biomedical industry, as well as relevant journal papers, conference proceedings, web materials, market survey reports, and historical information, in one location. The analysis demonstrates that India has lower SW demand than other nations. Although it is growing over time, the total rate of demand is not what was anticipated. depending on the user's preference. The index keywords and the crucial author keyword have already been supplied. Vosviewer 1.6.16 software is also used to examine the terms in the abstract and title. The characteristics/criteria related to SWs are also included, which aids in the purchase of them. The essay also discusses the issues and flaws that need to be fixed in the current circumstance and various potential solutions for future research projects.

Evaluation of a Web-based learning system for skills in removing personal protective equipment for highly infectious diseases-A randomized controlled trial.

Which educational method is best for 3-month retention of proper skills in removing personal protective equipment (PPE) in the setting of highly infectious diseases is unclear. We evaluated the effectiveness of a Web-based learning system after 3 months of use. One general hospital in Japan. We conducted a randomized, nonblinded, parallel-group trial with 35 nurses using the substitution block method. At baseline, both groups received face-to-face training in putting on and removing PPE. The intervention group was given access to the Web-based learning system we developed using Modular Object-Oriented Dynamic Learning Environment (Moodle). After 3 months, we assessed both groups regarding knowledge and skills in removing PPE using a 34-point test, fluorescent markers, and video recordings. Overall, 34 participants completed the trial: 16 in the intervention group and 18 in the control group. Postintervention knowledge test scores (1.3 vs -0.8; P = .013; effect size r = .42) and deviations from the required procedure (-5.4 vs 1.9; P = .001; effect size r = .55) were significantly better in the intervention group than in the control group. The number of contaminated sites (-0.5 vs 0.4; P = .128; effect size r = .26) and contaminated participants (-18.7% vs 11.1% decreased in the intervention group, and increased in the control group, although this was not significant (P = .242; effect size ϕ = .47). This learning system was an effective educational method in maintaining and improving knowledge of proper PPE removal skills. The number of deviations from the required procedure decreased, and this reduction continued after 3 months. Evaluation of the Web materials for learning PPE removal skills in the setting of highly infectious diseases. University Hospital Medical Information Network, UMIN000042725: https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000048767.

Data synthesis for environmental management: A case study of Chesapeake Bay

Synthesizing large, complex data sets to inform resource managers towards effective environmental stewardship is a universal challenge. In Chesapeake Bay, a well-studied and intensively monitored estuary in North America, the challenge of synthesizing data on water quality and land use as factors related to a key habitat, submerged aquatic vegetation, was tackled by a team of scientists and resource managers operating at multiple levels of governance (state, federal). The synthesis effort took place over a two-year period (2016–2018), and the results were communicated widely to a) scientists via peer review publications and conference presentations; b) resource managers via web materials and workshop presentations; and c) the public through newspaper articles, radio interviews, and podcasts. The synthesis effort was initiated by resource managers at the United States Environmental Protection Agencys’ Chesapeake Bay Program and 16 scientist participants were recruited from a diversity of organizations. Multiple short, immersive workshops were conducted regularly to conceptualize the problem, followed by data analysis and interpretation that supported the preparation of the synthetic products that were communicated widely. Reflections on the process indicate that there are a variety of structural and functional requirements, as well as enabling conditions, that need to be considered to achieve successful outcomes from synthesis efforts.

Keeping it under lock and keywords: exploring new ways to open up the web archives with notebooks

The UK Government Web Archive (UKGWA) has been archiving government websites since 1996 and now holds regular snapshots of over 5000 sites. Currently, this material can be accessed through browsing or a simple keyword search interface on their website and has also been catalogued in The National Archives’ online catalogue, Discovery. However, the scale of the UKGWA exposes the limits of the current search interface, and there is no facility to understand the archive in aggregate. This article seeks to go beyond the simple keyword search by exploring the data sources available, from APIs to web crawling, for computational analysis of the UKGWA. The article is accompanied by two Python Notebooks which present examples of analysis using each data source. Notebooks lower the technical barriers for the reader to explore and interpret the UKGWA as data, while surfacing the challenges around making web material computationally accessible.

Forensic Accounting: An innovative tool for Corporate Fraud Risk Management

“Forensic accounting is a dynamic and purposeful weapon that aids in the combat against corruption, fraud, and financial crimes. This paper discusses the role of forensic accounting as an innovative tool in corporate fraud risk management, describes the concept of corporate fraud and spells out the techniques and processes used while performing forensic accounting. Data from the secondary sources like reports, journals, books and web materials related to the forensic accounting and fraud has been reviewed and synthesized for this purpose” Key Words: Forensic Accounting, Fraud, Red Flags, Corporate Fraud.

Shear Property and Uniform Vertical Load Capacity of Bamboo I-Beams

Bamboo oriented strand boards (BOSB) are very suitable for application in construction structures because of their excellent mechanical properties. This research investigated the shear performance of bamboo I-beams composed of BOSB to verify the structural performance of I-beams. Short beam shear tests and uniform vertical load capacity tests were performed to investigate the effects of various factors on the properties of bamboo I-beams. The results showed that shear bearing capacity and uniform vertical load capacity of bamboo I-beams exceeded the requirements for performance-rated I-Joists in APA PRI-400-2021. The shear bearing capacity, stiffness, and failure types of bamboo I-beams were determined by the web materials, flange–web joint type, and beam depth. Increasing the bamboo I-beam depth without changing the flange dimensions had no significant effect on the shear bearing capacity and stiffness of bamboo I-beams. The shear bearing capacity and stiffness of wooden orientated strand board webbed I-beams were almost half of those of bamboo I-beams with the same depth. The shear bearing capacities of specimens calculated based on the shear bearing capacity calculation formula of I-beams recommended in the Canadian standard were reasonably close to the experimental results. The uniform vertical load capacity of bamboo I-beams gradually decreased as the depth of the bamboo I-beam increased from 300 mm to 500 mm.

Comparing the Performance of SOM with Traditional Methods for Document Clustering Using Wordnet Ontologies

Abstract: Retrieving useful information has become challenging due to the rapid expansion of web material. To improve the retrieval outcomes, efficient clustering methods are required. Document clustering is the process of identifying similarities and differences among given objects and grouping them into clusters with comparable features. We used WordNet lexical as an addition to compare several document clustering techniques in this article. The suggested method employs WordNet to determine the relevance of the concepts in the text, and then clusters the content using several document clustering algorithms (K-means, Agglomerative Clustering, and self-organizing maps). We wish to compare alternative ways for making document clustering algorithms more successful. Keywords: Document clustering, Clustering technique, Self-organizing maps, WordNet, K-means, Hierarchical Clustering.

Critical care for the early web: ethical digital methods for archived youth data

PurposeThis paper aims to provide a brief overview of the ethical challenges facing researchers engaging with web archival materials and demonstrates a framework and method for conducting research with historical web data created by young people.Design/methodology/approachThis paper’s methodology is informed by the conceptual framing of data materials in research on the “right to be forgotten” (Crossen-White, 2015; GDPR, 2018; Tsesis, 2014), data afterlives (Agostinho, 2019; Stevenson and Gehl, 2019; Sutherland, 2017), indigenous data sovereignty and governance (Wemigwans, 2018) and feminist ethics of care (Cifor et al., 2019; Cowan, 2020; Franzke et al., 2020; Luka and Millette, 2018). It demonstrates a new method called an archive promenade, which builds on the walkthrough and scroll-back methods (Light et al., 2018; Robards and Lincoln, 2017).FindingsThe archive promenades demonstrate how individual attachments to digital traces vary and are often unpredictable, which necessitates further steps to ensure that privacy and data sovereignty are maintained through research with web archives.Originality/valueThis paper demonstrates how the archive promenade methodological intervention can lead to better practices of care with sensitive web materials and brings together previous work on ethical fabrications (Markham, 2012), speculation (Luka and Millette, 2018) and thick context (Marzullo et al., 2018), to yield new insights for research on the experiences of growing up online.

Acoustics instruction in a pandemic world

COVID-19 has required a change in instruction at all levels. Fortunately, the technology exists to enable us to give quality education to our students. In acoustics, the wealth of existing online materials makes it practicable to motivate and enlighten our students to the beauty of our subject. Some of the key elements used in our courses can be presented effectively using auxiliary materials and web technology. Like many instructors, I provide PowerPoints with sound bites, text readings with discussion topics, and detailed supplements. Regular discussions are important to keep up motivation. “In class” labs can be done either live or online via Zoom or equivalent. Analysis and reports are done as homework. Exam security is an issue that can be minimized by alternate means. Assessments include short and frequent quizzes, essays and discussion writeups, lab reports, homework for practice, and a final project combining musical and physical aspects of the course. This project has been a more accurate assessment than a final exam. There is a wealth of web materials that are available on various sites. This talk will provide an overview of these elements as they apply to musical acoustics courses and strategies used to implement them.

Development and validation of an educational information web page for family members with relatives in the Intensive Care Unit (ICU)

AimThis paper describes the development and validation of an educational information web page designed for family members who have relatives in the Intensive Care Unit (ICU). BackgroundFamily members with relatives in the ICU always encounter a stressful experience. Hence, healthcare providers play a crucial in educating and alleviating the psychological distress experienced by family members with relatives in the ICU. Design and methodsThis study was a methodology research design. The educational information material was conducted in three stages: 1. Bibliographic survey; 2. Design and development of educational material; and 3. Validation of those materials by experts in the subject and representatives of the target audience and evaluation. The validation was performed by nine experts and 30 representatives of the target audience. A minimum value of 0.78 was recommended for Content Validation Index while a standard usability score value of 0.68 indicates good app usability. ResultThe educational information material achieved acceptable CVI values (0.83) and the usability score of the web material was higher than 0.68. Meanwhile, the experts proposed changes to the educational information, which were accepted and updated for the final edition of the content. ConclusionThe educational information material was validated in terms of content and relevance and should be used by nurses to fulfil the needed information. Based on the knowledge given, healthcare providers can support, provide comfort, assurance and proximity to family members or relatives in the ICU. Future studies with this application are necessary to assess educational information effectiveness to reduce the psychological distress experienced by family members in the ICU.

Why Fidelity Bank survived the banking crises in Ghana, but UT Bank collapsed: an explanation from strategic management

The question of why some firms succeed whilst others fail even though they operate in the same industry, have similar sizes and face the same market conditions continue to attract research attention. Strategic management addresses this question in part and contends that the explanatory factors for such phenomenon is accounted for by how firms strategically align their internal capacity to the changing trends from their external environment especially political and competitive forces. The paper draws on two strategic management frameworks (i.e., PESTLE and Porter's five forces) to explain why Fidelity survived, but UT failed in the recent environmental turbulence which bedeviled the banking sector of Ghana though both started just about the same time and had similar size. In line with the assumptions of the two frameworks above, the present paper argues that the failure of UT bank and the survival of Fidelity Bank is accounted for by how each bank aligned its internal capacity to the regulatory and competitive forces that hit the banking industry. The paper employs secondary information (e.g., financial reports, web materials, newspaper articles), coupled with the PESTLE and Porter's five forces frameworks to explain the issue. The findings are that whilst the internal capacity of Fidelity Bank (e.g., its capital adequacy) was aligned to the regulatory demands of the Bank of Ghana, UT's internal conditions were so fragile that they failed to satisfy the regulator's demands in the deregulation. Following from the results of the study, implications on theory, practice and public policy are suggested.

Piezoelectric sensor based on electrospun poly(vinylidene fluoride)/sulfonated poly(1,4‐phenylene sulfide) blend nonwoven fiber mat

AbstractElectrospun poly(vinylidene fluoride) (PVDF)/sulfonated poly(1,4‐phenylene sulfide) (sPPS) blend nanofiber webs are prepared to investigate the changes in piezoelectric behavior of PVDF as a function of sPPS content using spectral and electrical measurements. Initial fourier transform infrared (FTIR) spectral analysis carried out using PVDF/sPPS as‐cast films provides useful information about the preferential formation of the β‐crystalline phase in PVDF. Even with the addition of 10 wt% of sPPS, β‐crystalline absorbance increases significantly in as‐cast PVDF film at the expense of a corresponding decrease in α‐crystalline absorbance. Cyclic–voltammetric analysis confirms the redox behavior of sPPS and its influence on improving the performance of PVDF/sPPS blend‐based piezoelectric sensor through hydrogen bonding and ion‐dipole interactions. The piezoelectric output signal recorded using PVDF/sPPS blend (95:5) nanofiber web shows ~4.4 times increase in output signal amplitude compared to that of neat PVDF based sensor, which is an evidence that the PVDF/sPPS nanofiber web material can be used as a commercially viable flexible pressure sensor.

Analyzing Newspaper Articles for Text-Related Data for Finding Vulnerable Posts Over the Internet That Are Linked to Terrorist Activities

One of the most critical activities of revealing terrorism-related information is classifying online documents.The internet provides consumers with a variety of useful knowledge, and the volume of web material is increasingly growing. This makes finding potentially hazardous records incredibly difficult. To define the contents, merely extracting keywords from records is inadequate. Many methods have been studied so far to develop automatic document classification systems, they are mainly computational and knowledge-based approaches. due to the complexities of natural languages, these approaches do not provide sufficient results. To fix this shortcoming, we given approach of structure dependent on the WordNet hierarchy and the frequency of n-gram data that employs word similarity. Using four different queries terms from four different regions, this approach was checked for the NY Times articles that were sampled. Our suggested approach successfully removes background words and phrases from the document recognizes connected to terrorism texts, according to experimental findings.

Adaptive Control for Multi-Shaft with Web Materials Linkage Systems

In this paper, a fuzzy disturbance observer and a high-gain disturbance observer based on a variable structure controller are applied to deal with imprecise multi-shaft with web materials linkage systems taking into account the variation of the moment of inertia. Specifically, a high-gain disturbance observer and an adaptive fuzzy algorithm are separately applied to estimate system uncertainties and external disturbances. The high-gain disturbance observer is designed with auxiliary variables to avoid the amplification of the measurement disturbance, and the fuzzy disturbance observer has the advantage that it does not depend on model information. The convergence properties of the tracking error are analytically proven using Lyapunov’s theory. The obtained numerical results demonstrate the validity and the adaptive performance of the proposed control law in case the system is exposed to uncertainties and disturbances. Important remarks on the design process and performance benchmarks of the two observers are also demonstrated.