bluuebunny/crossref_metadata_2025 huggingface dataset:
Doctors Dealing With COVID-19 in Pakistan: Experiences, Perceptions, Fear, and Responsibility
Authors: Ali Inayat , Sadique Salma , Ali Shahbaz
Published: December 2021

This study aimed to describe the dealings of 20 biomedical doctors with coronavirus disease-19 (COVID-19) in the Sindh province of Pakistan. Focusing on physicians from three different hospitals, we describe their challenges, emotions, and views concerning the pandemic. Many regarded the virus from a biomedical standpoint. Yet some also perceived it as a “tool of a proxy war” and a “plot,” without giving agency to anyone for that “plot.” Furthermore, these care providers faced a great fear of infection and an even greater fear of transmitting the virus to their families and friends. A few also feared stigmatization as viral carriers. Whether they experienced fear or not, all of our physician interlocutors emphasized their sense of responsibility to “serve humanity,” yet some also expressed a strong belief in the inevitability of the will of Allah. Some were satisfied with the role of the government in containing the virus, while others expressed concerns and felt that the government should be doing much more. All expressed confidence in the use of personal protective equipment (PPE), viewing it as an effective buffer against viral contagion. We conclude with a call for further research especially ethnographic studies on dealings of physicians with COVID-19 across Pakistan as frontline care providers.
The Burden of Anemia in Pregnancy Among Women Attending the Antenatal Clinics in Mkuranga District, Tanzania
Authors: Ngimbudzi Evelyine B. , Massawe Siriel N. , Sunguya Bruno F.
Published: December 2021

Introduction: The burden of anemia in pregnancy is of global health importance. Tanzania is no exception. Its effects vary from one region to another due to the differing causes. Overall, it is a significant cause of maternal mortality. This study sought to assess the prevalence and factors associated with anemia among pregnant women attending the antenatal clinic (ANC) in the Mkuranga district of the Pwani region of Tanzania.

Methodology: This cross sectional study was conducted among 418 pregnant women aged 15–49 years attending the Mkuranga District Hospital and Kilimahewa Health Center. The outcome variable of interest was anemia in pregnancy defined as a hemoglobin concentration of 11 g/dl or less. Data was collected using face-to-face interviews with a standardized pretested questionnaire, and through blood samples collected for hemoglobin testing. Descriptive analysis was used to determine the prevalence of anemia while multiple logistic regression was used to determine factors associated with anemia in pregnancy.

Results: Anemia was prevalent among 83.5% of pregnant women attending the two major ANCs in Mkuranga district. Categorically, the hemoglobin of 16.3% of the included women was normal, 51.9% had moderate anemia, 24.4% had mild anemia, and 7.2% had severe anemia. Factors associated with anemia included being in the third trimester (AOR = 2.87, p = 0.026), not consuming vegetables (AOR = 2.62, p = 0.008), meat (AOR = 2.71, p = 0.003), eggs (AOR = 2.98, p = 0.002), and fish (AOR = 2.38, p = 0.005). The finding of unadjusted analysis revealed that women with inadequate minimum dietary diversity were having significantly greater odds of being anemic as compared with those with adequate dietary diversity (OR = 1.94, P = 0.016).

Conclusion: More than 80% of pregnant women attending ANC in Mkuranga districts were anemic. Such unprecedented burden of anemia is associated with several factors, which include poor dietary practices such as not consuming iron-rich foods, for example vegetables, meat, eggs, and fish. Women in their third trimester were also more likely to suffer from anemia. This unprecedented burden of anemia in pregnancy can be addressed if efforts to improve feeding practices and early monitoring at the ANCs are sustained.
Digital Health Value Realization Through Active Change Efforts
Authors: Bhyat Rashaad , Hagens Simon , Bryski Katie , Kohlmaier Jocelyn Fausto
Published: December 2021

Digital health has massive potential in health care but has been slow to evolve in comparison to other information-intensive industries, which have more readily taken advantage of new technology. One of the key barriers has been the complex relationship between the perceived return on investment for the investor and the resulting value to patients and caregivers. Those actors who pay for technologies do not always see an appreciable return for themselves, while those actors who must apply the technology to generate value are not always incentivized to do so. This misalignment across health system payers and administrators, clinicians and patients must be better understood and addressed to help accelerate digital health. This paper will examine this challenge through the clinician experience, using empirical case examples from Canada to illustrate opportunities for change. While many factors may influence digital health adoption, this paper specifically aims to explore the shifts in the balance of the perceived value of implementing digital health tools, vs. the efforts required to adopt them. It will explore two contrasting case examples: clinical adoption of EMRs in Canada from 2009 to 2015, and clinical adoption of virtual care technologies during the COVID-19 pandemic from 2020 to 2021. In 2006, Canada lagged peer countries significantly in the adoption of electronic medical records (EMR) in community-based care. Financial support and cooperation of multiple levels of government and clinical stakeholders were required to address the misaligned incentives, which led to significant uptake by care providers. The rapid adoption of virtual care in Canada in response to the pandemic provides another relevant example of the importance of alignment among the factors of clinical workflows, clinical appropriateness, technology integration and payment models. Experts have highlighted the need for standardization, regulation, and clear policy to ensure sustainable, high quality virtual care that complements in-person care. In both cases, the costs and effort of adopting new technologies outweighed direct clinician value, requiring change initiatives to catalyze progress. This imbalance could be unique to these examples in Canada, and may not be globally generalizable to the adoption of all digital health tools. However, how change efforts can be tailored to adjust to a rapidly evolving health care workforce, spanning diverse jurisdictions and stakeholder groups will be critical to the sustainability of virtual care adoption. Furthermore, what key elements must be considered to guide change initiatives for successful implementation, designed to influence change while adding value for patients, clinicians and Canada's health care systems? Using insights from successful change initiatives past and present, this paper aims to answer these questions to enable a smoother transition to digital health innovations of the future.
The Intersectionality Toolbox: A Resource for Teaching and Applying an Intersectional Lens in Public Health
Authors: Sabik Natalie J.
Published: December 2021

Intersectionality is a theoretical framework that was developed to address the ways in which people's experiences are shaped based on their intersecting social identities (e. g., race/ethnicity, gender, class, age, etc.). This approach focuses on the importance of considering power, privilege, and social structures in relation to people's access to resources, experiences of discrimination, and interpersonal interactions. An intersectional approach in public health is critical for research and teaching to illuminate health disparities and the underlying structures that create and maintain disparities. While scholars have focused primarily on how to integrate an intersectional perspective into research methods, there is a need for a clear framework for applying intersectionality effectively in public health teaching. The Intersectionality Toolbox (ITB) is a framework developed from a variety of interdisciplinary resources designed to apply an intersectional perspective to public health issues. This article describes the Intersectionality Toolbox and details how it can be utilized in public health classes. Following a course where the ITB was implemented, student feedback was sought to determine the appropriateness and effectiveness of the design, and metrics were aligned with the learning outcomes. The ITB was refined and retained to integrate into courses and assignments focused on teaching about the intersecting nature of the social determinants of health.
Teleoperation and Visualization Interfaces for Remote Intervention in Space
Authors: Kazanzides Peter , Vagvolgyi Balazs P. , Pryor Will , Deguet Anton , Leonard Simon , Whitcomb Louis L.
Published: December 2021

Approaches to robotic manufacturing, assembly, and servicing of in-space assets range from autonomous operation to direct teleoperation, with many forms of semi-autonomous teleoperation in between. Because most approaches require one or more human operators at some level, it is important to explore the control and visualization interfaces available to those operators, taking into account the challenges due to significant telemetry time delay. We consider one motivating application of remote teleoperation, which is ground-based control of a robot on-orbit for satellite servicing. This paper presents a model-based architecture that: 1) improves visualization and situation awareness, 2) enables more effective human/robot interaction and control, and 3) detects task failures based on anomalous sensor feedback. We illustrate elements of the architecture by drawing on 10 years of our research in this area. The paper further reports the results of several multi-user experiments to evaluate the model-based architecture, on ground-based test platforms, for satellite servicing tasks subject to round-trip communication latencies of several seconds. The most significant performance gains were obtained by enhancing the operators’ situation awareness via improved visualization and by enabling them to precisely specify intended motion. In contrast, changes to the control interface, including model-mediated control or an immersive 3D environment, often reduced the reported task load but did not significantly improve task performance. Considering the challenges of fully autonomous intervention, we expect that some form of teleoperation will continue to be necessary for robotic in-situ servicing, assembly, and manufacturing tasks for the foreseeable future. We propose that effective teleoperation can be enabled by modeling the remote environment, providing operators with a fused view of the real environment and virtual model, and incorporating interfaces and control strategies that enable interactive planning, precise operation, and prompt detection of errors.
Analysis of Ionospheric and Geomagnetic Response to the 2020 Patagonian Solar Eclipse
Authors: Meza Amalia , Eylenstein Bernardo , Natali María Paula , Bosch Guillermo , Moirano Juan , Chalar Elfriede
Published: December 2021

Total solar eclipses are unique opportunities to study how the ionospheric and external geomagnetic field responds to fast changes in the ionizing flux as the moon’s shadow travels through its path over the ionosphere at an average speed of 3,000 km/h. In this contribution, we describe our observing campaign in which we set up GNSS and geomagnetic stations at the city of Valcheta, Río Negro, Argentina (which was located right under the path of totality). We also describe the results obtained from the analysis of the combination of on-site data together with publicly available observations from geodetic and geomagnetic observatories. The large span in latitude of our data allowed us to analyze the different magnitudes of the drop in vertical total electron content (ΔVTEC) with varying occultation percentages. We found an expected reduction in this drop as we move away from totality path but we also detected a new increment in ΔVTEC as we got closer to Earth’s Magnetic Equator. We also compared our observations of the geomagnetic field variations with predictions that were based on the Ashour-Chapman model and we find an overall good agreement, although a ≈20 min delay with the eclipse maximum is evident beyond observing uncertainties. This suggests the presence of processes that delay the response of the lower ionosphere to the loss of the photoionization flux.
Correlative Analysis Between Adverse Events of Preoperative Chemotherapy and Postoperative Complications of Gastric Cancer
Authors: Wu Zhouqiao , Wang Yiding , Hou Shiyang , Wang Qi , Li Bailong , Ying Xiangji , Li Shuangxi , Li Ziyu , Ji Jiafu
Published: December 2021

Background and Objectives: This study aims to explore the safety of preoperative chemotherapy and clarify whether preoperative chemotherapy with oxaliplatin + S-1 (SOX) regimen and its adverse events are associated with higher risks of postoperative complications.

Methods: We included consecutive patients with gastric cancer who underwent gastrectomy in our department between July 1 2018, and January 31 2020. Patients with preoperative SOX regimen chemotherapy were included in the analysis.

Results: In the 343 included patients, 77 cases underwent preoperative chemotherapy. In total, surgical complications were found in 117 patients (34.1%), and there was no significant difference between the patients with and without preoperative chemotherapy before and after propensity score matching (p > 0.05, respectively). Multivariate analysis showed that preoperative comorbidities (p = 0.026) and the preoperative cT4b (p = 0.028) were independent risk factors in postoperative complications. In patients with preoperative chemotherapy, neither the occurrence of adverse events nor their severity was associated with postoperative complications (p > 0.05). However, the patients who received five to six cycles were more prone to postoperative complications than those who received three to four cycles (62.5 vs. 27.9%, OR = 4.306, 95% Cl = 1.282–14.464, p = 0.018).

Conclusions: Occurrence of postoperative complications was not influenced by preoperative SOX chemotherapy. However, increased cycles of chemotherapy may lead to higher incidence of postoperative complications.
Unpacking the Theory Behind One Health Food Safety Programs: A Vietnam Case Study
Authors: Lam Steven , Nguyen Huyen Thi Thu , Tuan Hai Ngo Hoang , Nguyen Luong Thanh , Nguyen-Viet Hung , Toribio Jenny-Ann , Thanh Huyen Le Thi , Pham-Van Hung , Grace Delia , Unger Fred
Published: December 2021

Many One Health programs are inherently complex, characterized by multiple perspectives from multiple sectors, delivery across various scales, and a focus on complex problems at the convergence of people, animals, and the environment. This complexity makes them difficult to conceptualize, requiring frameworks to organize the different program components. Evaluation frameworks that unpack the sequence of events linking program activities to outcomes (e.g., Theory of Change) and track outcomes (e.g., Outcome Mapping) show promise in supporting the development of One Health programs. While widely used in international development and health contexts, there has been little reflection on the use of Theory of Change and Outcome Mapping within One Health efforts. This paper reflects on the process of applying these frameworks to conceptualize a One Health food safety program in Vietnam. We find Theory of Change fostered the characterization of a change pathway toward safer pork, while Outcome Mapping kept us informed of where along the change pathway we were. One Health programs considering evaluation frameworks should adopt elements that make sense to them, be intentional about co-designing the evaluation, and view evaluation as a process, not a product.
Hospitality Industry Employees’ Intention to Stay in Their Job after the COVID-19 Pandemic
Authors: Chen Chien-Liang , Chen Mei-Hui
Published: December 2021

The COVID-19 pandemic had a devastating effect on the tourism and hospitality industries in Taiwan, causing some small companies to cease trading and large companies to place their employees on unpaid leave. Placing employees on unpaid leave may have negatively affected the intention of hospitality employees to remain in their jobs. This study examined whether employees’ job insecurity and organizational identification affected their intention to stay in their job during the COVID-19 pandemic. Previously developed scales were adopted to develop items measuring job insecurity, organizational identification, and intention to stay in a job. Responses to 515 returned questionnaires were examined. The results revealed that job insecurity significantly affects organizational identification. Both job insecurity and organizational identification significantly affected intention to stay. Few studies have used path analyses to investigate the relationships among intention to stay, job insecurity, and organizational identification. The indirect effect of organizational identification was analyzed, and evidence supporting a total effect and total indirect effect was obtained. This implies that hospitality companies seeking to retain staff during crises should promote organizational identification among staff.
VISmaF: Synthetic Tree for Immersive Virtual Visualization in Smart Farming. Part I: Scientific Background Review and Model Proposal
Authors: Crimaldi Mariano , Cartenì Fabrizio , Giannino Francesco
Published: December 2021

Computer-Generated Imagery (CGI) has received increasing interest in both research and the entertainment industry. Recent advancements in computer graphics allowed researchers and companies to create large-scale virtual environments with growing resolution and complexity. Among the different applications, the generation of biological assets is a relevant task that implies challenges due to the extreme complexity associated with natural structures. An example is represented by trees, whose composition made by thousands of leaves, branches, branchlets, and stems with oriented directions is hard to be modeled. Realistic 3D models of trees can be exploited for a wide range of applications including decision-making support, visualization of ecosystem changes over time, and for simple visualization purposes. In this review, we give an overview of the most common approaches used to generate 3D tree models, discussing both methodologies and available commercial software. We focus on strategies for modeling and rendering of plants, highlighting their accordance or not with botanical knowledge and biological models. We also present a proof of concept to link biological models and 3D rendering engines through Ordinary Differential Equations.
Assessment of the Antibacterial Efficacy of Halicin against Pathogenic Bacteria
Authors: Booq Rayan Y. , Tawfik Essam A. , Alfassam Haya A. , Alfahad Ahmed J. , Alyamani Essam J.
Published: December 2021

Artificial intelligence (AI) is a new technology that has been employed to screen and discover new drugs. Using AI, an anti-diabetic treatment (Halicin) was nominated and proven to have a unique antibacterial activity against several harmful bacterial strains, including multidrug-resistant bacteria. This study aims to explore the antibacterial effect of halicin and microbial susceptibility using the zone of inhibition and the minimum inhibition concentration (MIC) values while assessing the stability of stored halicin over a period of time with cost-effective and straightforward methods. Linear regression graphs were constructed, and the correlation coefficient was calculated. The new antibacterial agent was able to inhibit all tested gram-positive and gram-negative bacterial strains, but in different concentrations—including the A. baumannii multidrug-resistant (MDR) isolate. The MIC of halicin was found to be 16 μg/mL for S. aureus (ATCC BAA-977), 32 μg/mL for E. coli (ATCC 25922), 128 μg/mL for A. baumannii (ATCC BAA-747), and 256 μg/mL for MDR A. baumannii. Upon storage, the MICs were increased, suggesting instability of the drug after approximately a week of storage at 4 °C. MICs and zones of inhibition were found to be high (R = 0.90 to 0.98), suggesting that halicin has a promising antimicrobial activity and may be used as a wide-spectrum antibacterial drug. However, the drug’s pharmacokinetics have not been investigated, and further elucidation is needed.
Genetic Algorithms: A Practical Approach to Generate Textual Patterns for Requirements Authoring
Authors: Poza Jesús , Moreno Valentín , Fraga Anabel , Álvarez-Rodríguez José María
Published: December 2021

The writing of accurate requirements is a critical factor in assuring the success of a project. Text patterns are knowledge artifacts that are used as templates to guide engineers in the requirements authoring process. However, generating a text pattern set for a particular domain is a time-consuming and costly activity that must be carried out by specialists. This research proposes a method of automatically generating text patterns from an initial corpus of high-quality requirements, using genetic algorithms and a separate-and-conquer strategy to create a complete set of patterns. Our results show this method can generate a valid pattern set suitable for requirements authoring, outperforming existing methods by 233%, with requirements ratio values of 2.87 matched per pattern found; as opposed to 1.23 using alternative methods.
Altered Dynamic Functional Connectivity of Cuneus in Schizophrenia Patients: A Resting-State fMRI Study
Authors: Nyatega Charles Okanda , Qiang Li , Adamu Mohammed Jajere , Younis Ayesha , Kawuwa Halima Bello
Published: December 2021

Objective: Schizophrenia (SZ) is a functional mental condition that has a significant impact on patients’ social lives. As a result, accurate diagnosis of SZ has attracted researchers’ interest. Based on previous research, resting-state functional magnetic resonance imaging (rsfMRI) reported neural alterations in SZ. In this study, we attempted to investigate if dynamic functional connectivity (dFC) could reveal changes in temporal interactions between SZ patients and healthy controls (HC) beyond static functional connectivity (sFC) in the cuneus, using the publicly available COBRE dataset. Methods: Sliding windows were applied to 72 SZ patients’ and 74 healthy controls’ (HC) rsfMRI data to generate temporal correlation maps and, finally, evaluate mean strength (dFC-Str), variability (dFC-SD and ALFF) in each window, and the dwelling time. The difference in functional connectivity (FC) of the cuneus between two groups was compared using a two-sample t-test. Results: Our findings demonstrated decreased mean strength connectivity between the cuneus and calcarine, the cuneus and lingual gyrus, and between the cuneus and middle temporal gyrus (TPOmid) in subjects with SZ. Moreover, no difference was detected in variability (standard deviation and the amplitude of low-frequency fluctuation), the dwelling times of all states, or static functional connectivity (sFC) between the groups. Conclusions: Our verdict suggest that dynamic functional connectivity analyses may play crucial roles in unveiling abnormal patterns that would be obscured in static functional connectivity, providing promising impetus for understanding schizophrenia disease.
Experimental Investigation of the Fatigue Lifespan of Anchor Bolts with Consideration of Loading History
Authors: Pástor Miroslav , Lengvarský Pavol , Hagara Martin , Sapietová Alžbeta , Šarga Patrik
Published: December 2021

Preloaded bolted connections are one of the most used approaches for anchoring steel structures and equipment. Preload is induced by a mechanical tightening of the nut with the required torque. In the case of anchor bolts embedded in a concrete base, the prescribed tightening procedure has to be followed for safe and reliable operation. The present paper addresses the problem of anchoring a new casting pedestal using the original anchor bolts. The aim was to verify the original anchoring system’s reliable and safe operation, taking into account the current condition of the bolts. The analysed anchoring bolts are subjected to cyclic (disappearing) stress during the rotation of the casting pedestal. If the interplays between the anchor bolt and the concrete foundation were damaged, production would shut down, resulting in high economic losses. For this reason, the authors used a modified nut with a lightened first thread when investigating the actual state of the anchoring and setting the required preload. The shape and dimensions of the nut were determined based on the results of numerical modelling. The experimental measurements consisted of two phases. In the first phase, the values of axial forces in the anchor bolts at the required preload were set using the designed dynamometers. The second phase was focused on the operational measurements. The methodology of measuring the axial forces and the interpretation of the results obtained, including a comprehensive view of the anchoring safety, provides relevant evidence of the functionality and effectiveness of the proposed solution. Based on the results of the operational measurement and the prescribed handling of the casting pedestal, the lifespan of the anchoring was determined to be 3650 days under the loading cycles to date.
A Short-Time Approach for Fatigue Life Evaluation of AISI 347 Steel for Nuclear Power Energy Applications
Authors: Bill Tobias , Acosta Ruth , Boller Christian , Donnerbauer Kai , Lücker Lukas , Walther Frank , Heckmann Klaus , Sievers Jürgen , Schopf Tim , Weihe Stefan , Starke Peter
Published: December 2021

AISI 347 austenitic steel is, as an example, used in nuclear energy piping systems. Piping filled with superheated steam or cooled water is particularly exposed to high stresses, whereupon local material properties in the pipes can change significantly, especially in the case of additional corrosive influences, leading to aging of the material. In the absence of appropriate information, such local material property variations are currently covered rather blanketly by safety factors set during the design of those components. An increase in qualified information could improve the assessment of the condition of such aged components. As part of the collaborative project “Microstructure-based assessment of the maximum service life of core materials and components subjected to corrosion and fatigue (MiBaLeB)”, the short-time procedure, StrainLife, was developed and validated by several fatigue tests. With this procedure, a complete S–N curve of a material can be determined on the basis of three fatigue tests only, which reduces the effort compared to a conventional approach significantly and is thus ideal for assessing the condition of aged material, where the material is often rare, and a cost-effective answer is often very needed. The procedure described is not just limited to traditional parameters, such as stress and strain, considered in destructive testing but rather extends into parameters derived from non-destructive testing, which may allow further insight into what may be happening within a material’s microstructure. To evaluate the non-destructive quantities measured within the StrainLife procedure and to correlate them with the aging process in a material, several fatigue tests were performed on unnotched and notched specimens under cyclic loading at room and elevated temperatures, as well as under various media conditions, such as distilled water and reactor pressure vessel boiling water (BWR) conditions.
Eigenstate Transition of Multi-Channel Time Series Data around Earthquakes
Authors: Okada Akihisa , Kaneda Yoshiyuki
Published: December 2021

To decrease human and economic damage owing to earthquakes, it is necessary to discover signals preceding earthquakes. We focus on the concept of “early warning signals” developed in bifurcation analysis, in which an increase in the variances of variables precedes its transition. If we can treat earthquakes as one of the transition phenomena that moves from one state to the other state, this concept is useful for detecting earthquakes before they start. We develop a covariance matrix from multi-channel time series data observed by an observatory on the seafloor and calculate the first eigenvalue and corresponding eigenstate of the matrix. By comparing the time dependence of the eigenstate to some past earthquakes, it is shown that the contribution from specific observational channels to the eigenstate increases before earthquakes, and there is a case in which the eigenvalue increases as predicted in early warning signals. This result suggests the first eigenvalue and eigenstate of multi-channel data are useful to identify signals preceding earthquakes.
Evolution of Hemodynamic Parameters Simulated by Means of Diffusion Models
Authors: Walczak Andrzej , Moszczyński Paweł , Krzesiński Paweł
Published: December 2021

Diffusion is a well-known physical phenomenon governing such processes as movement of particles or transportation of heat. In this paper, we prove that a close analogy to those processes exists in medical data behavior, and that changes in the values of medical parameters measured while treating patients may be described using diffusion models as well. The medical condition of a patient is usually described by a set of discrete values. The evolution of that condition and, consequently, of the disease has the form of a transition of that set of discrete values, which correspond to specific parameters. This is a typical medical diagnosis scheme. However, disease evolution is a phenomenon that is characterized by continuously varying, temporal characteristics. A mathematical disease evolution model is, in fact, a continuous diffusion process from one discrete slot of the diagnosed parameter value to another inside the mentioned set. The ability to predict such diffusion-related properties offer precious support in diagnostic decision-making. We have examined several hundred patients while conducting a medical research project. All patients were under treatment to stabilize their hemodynamic parameters. A diffusion model relied upon simulating the results of treatment is proposed here. Time evolution of thoraric fluid content (TFC) has been used as the illustrative example. The objective is to prove that diffusion models are a proper and convenient solution for predicting disease evolution processes. We applied the Fokker-Planck equation (FPE), considering it to be most adequate for examining the treatment results by means of diffusion. We confirmed that the phenomenon of diffusion explains the evolution of the heart disease parameters observed. The evolution of TFC has been chosen as an example of a hemodynamic parameter.
On the Design of a Decision Support System for Robotic Equipment Adoption in Construction Processes
Authors: Marcher Carmen , Giusti Andrea , Matt Dominik T.
Published: December 2021

The construction sector is one of the major global economies and is characterised by low productivity and high inefficiencies, but could highly benefit from the introduction of robotic equipment in terms of productivity, safety, and quality. As the development and the availability of robotic solutions for the construction sector increases, the evaluation of their potential benefits compared to conventional processes that are currently adopted on construction sites becomes compelling. To this end, we exploit Bayesian decision theory and apply an axiomatic design guideline for the development of a decision-theoretic expert system that: (i) evaluates the utility of available alternatives based on evidence; (ii) accounts for uncertainty; and (iii) exploits both expert knowledge and preferences of the users. The development process is illustrated by means of exemplary use case scenarios that compare manual and robotic processes. A use case scenario that compares manual and robotic marking and spraying is chosen for describing the development process in detail. Findings show how decision making in equipment selection can be supported by means of dedicated systems for decision support, developed in collaboration with domain experts.
Unconditionally Secure Relativistic Quantum Qubit Commitment
Authors: Liu Houquan , Yuan Libo
Published: December 2021

Quantum qubit commitment is a stronger version of the quantum bit commitment. It is impossible to realize unconditionally secure quantum qubit commitment in nonrelativistic domain. In this paper, we propose an unconditionally secure relativistic quantum qubit commitment protocol for the first time, which will have some unique applications in the upcoming era of quantum network.
Digital Twin-Enabled Decision Support Services in Industrial Ecosystems
Authors: Meierhofer Jürg , Schweiger Lukas , Lu Jinzhi , Züst Simon , West Shaun , Stoll Oliver , Kiritsis Dimitris
Published: December 2021

The goal of this paper is to further elaborate a new concept for value creation by decision support services in industrial service ecosystems using digital twins and to apply it to an extended case study. The aim of the original model was to design and integrate an architecture of digital twins derived from business needs that leveraged the potential of the synergies in the ecosystem. The conceptual framework presented in this paper extends the semantic ontology model for integrating the digital twins. For the original model, technical modeling approaches were developed and integrated into an ecosystem perspective based on a modeling of the ecosystem and the actors’ decision jobs. In a service ecosystem comprising several enterprises and a multitude of actors, decision making is based on the interlinkage of the digital twins of the equipment and the processes, which is achieved by the semantic ontology model further elaborated in this paper. The implementation of the digital twin architecture is shown in the example of a manufacturing SME (small and medium-sized enterprise) case that was introduced in. The mixed semantic modeling and model-based systems engineering for this implementation is discussed in further detail in this paper. The findings of this detailed study provide a theoretical concept for implementing digital twins on the level of service ecosystems and integrating digital twins based on a unified ontology. This provides a practical blueprint to companies for developing digital twin based services in their own operations and beyond in their ecosystem.
Beam-Plasma Stabilizer for the New Type of Nuclear Power Energy Systems
Authors: Mustafaev Alexander , Grabovskiy Artem , Krizhanovich Alexander , Sukhomlinov Vladimir
Published: December 2021

In this paper the electrokinetic characteristics of helium low-voltage beam discharge plasma in operating conditions of a three-electrode device with a hot cathode are studied. A method and a device are proposed to ensure effective voltage stabilization in a range up to 110 V by controlling the electron velocity distribution function using the plasma channel external boundaries.
Intercultural Differences in the Perception of HVAC Sound Quality in Car Cabins: From Conventional to Electric Vehicles
Authors: Masullo Massimiliano , Yamauchi Katsuya , Dan Minori , Cioffi Federico , Maffei Luigi
Published: December 2021

In electric-powered cars, the production of which is increasing, the HVAC system is responsible for most of the noise inside the car’s cabin, causing significant discomfort for passengers. Moreover, the noise produced by the HVAC affects the perceptible sound inside the car cabin, significantly impacting the perceived quality of the vehicle. It is thus essential to investigate and quantify people’s preferences concerning HVAC noise. Our previous research revealed differences in the HVAC noise between hybrid electric (HEV) and internal combustion engine (ICEV) vehicles. A subsequent factor analysis revealed that the adjectives used to describe the sounds can be grouped into two main dimensions: Aesthetic and Loudness. The present paper highlights the results of a listening test that aimed to identify possible differences in the perception of HVACs’ sound quality between Italian and Japanese subject groups, for ICEV and HEV, in different functioning conditions. Results revealed that the most remarkable difference emerges at high air flow rates, where the Japanese group perceived the quality of sound and annoyance, respectively, to be significantly lower and significantly higher than the Italian group.
Lightning Modeling and Its Effects on Electric Infrastructures
Authors: Brignone Massimo , Mestriner Daniele
Published: December 2021

Infrastructure security and people’s safety are the first objectives when it comes to dealing with high voltages or high currents issues [...]
Development of a Proton-Frequency-Transparent Birdcage Radiofrequency Coil for In Vivo 13C MRS/MRSI Study in a 3.0 T MRI System
Authors: Yoon Jun-Sik , Kim Jong-Min , Chung Han-Jae , Jeong You-Jin , Jeong Gwang-Woo , Park Ilwoo , Kim Gwang-Won , Oh Chang-Hyun
Published: December 2021

A proton-frequency-transparent (PFT) birdcage RF coil that contains carbon-proton switching circuits (CPSCs) is presented to acquire 13C MR signals, which, in turn, enable 1H imaging with existing 1H RF coils without being affected by a transparent 13C birdcage RF coil. CPSCs were installed in the PFT 13C birdcage RF coil to cut the RF coil circuits during 1H MR imaging. Finite-difference time-domain (FDTD) electromagnetic (EM) simulations were performed to verify the performance of the proposed CPSCs. The performance of the PFT 13C birdcage RF coil with CPSCs was verified via phantom and in vivo MR studies. In the phantom MR studies, 1H MR images and 13C MR spectra were acquired and compared with each other using the 13C birdcage RF coil with and without the CPSCs. For the in vivo MR studies, hyperpolarized 13C cardiac MRS and MRSI of swine were performed. The proposed PFT 13C birdcage RF coil with CPSCs led to a percent image uniformity (PIU) reduction of 1.53% in the proton MR images when compared with the case without it. FDTD EM simulations revealed PIU reduction of 0.06% under the same conditions as the phantom MR studies. Furthermore, an SNR reduction of 5.5% was observed at 13C MR spectra of corn-oil phantom using the PFT 13C birdcage RF coil with CPSCs compared with that of the 13C birdcage RF coil without CPSCs. Utilizing the PFT 13C birdcage RF coil, 13C-enriched compounds were successfully acquired via in vivo hyperpolarized 13C MRS/MRSI experiments. In conclusion, the applicability and utility of the proposed 16-leg low-pass PFT 13C birdcage RF coil with CPSCs were verified via 1H MR imaging and hyperpolarized 13C MRS/MRSI studies using a 3.0 T MRI system.
Learning Arts Organisations: Innovation through a Poetics of Relation
Authors: Gulari Melehat Nil , Fremantle Chris
Published: December 2021

Arts organisations have had to reimagine their ways of working, as a result of the COVID-19 pandemic. The pandemic has severely challenged the venue-based sectors and exposed the fragility of the existing business model of the ‘receiving house’. We use a specific example to address the following question: In what sense can artists lead organisational innovation, learning and change? We analyse Riffing the Archive: Building a Relation by MARIE ANTOINETTE (MA), an artist duo from Portugal, and their collaboration with the Barn, a multi-art centre in Banchory, Scotland, during the coronavirus pandemic in 2021. Édouard Glissant, a Martinique-born poet and philosopher, underpins both MA’s practice and our analysis. We draw on the key concepts of his relational philosophy, including archipelago, opacity, and disaffiliation, to clarify how MA work, what they have offered the Barn and what they can offer to other art organisations seeking innovation and organisational learning. MA’s nuanced approach, informed by Glissant, reconfigures the relationship between the artists and the art organisation and challenges existing assumptions through discontinuous and new thinking, while building a non-confrontational relationship with the Barn. It contributes to both organisational studies and arts research by highlighting the significance of MA’s approach to organisational innovation.
Tissue Engineering Strategies for Treating Avascular Necrosis of the Femoral Head
Authors: Murab Sumit , Hawk Teresa , Snyder Alexander , Herold Sydney , Totapally Meghana , Whitlock Patrick W.
Published: December 2021

Avascular necrosis (AVN) of the femoral head commonly leads to symptomatic osteoarthritis of the hip. In older patients, hip replacement is a viable option that restores the hip biomechanics and improves pain but in pediatric, adolescent, and young adult patients hip replacements impose significant activity limitations and the need for multiple revision surgeries with increasing risk of complication. Early detection of AVN requires a high level of suspicion as diagnostic techniques such as X-rays are not sensitive in the early stages of the disease. There are multiple etiologies that can lead to this disease. In the pediatric and adolescent population, trauma is a commonly recognized cause of AVN. The understanding of the pathophysiology of the disease is limited, adding to the challenge of devising a clinically effective treatment strategy. Surgical techniques to prevent progression of the disease and avoid total hip replacement include core decompression, vascular grafts, and use of bone-marrow derived stem cells with or without adjuncts, such as bisphosphonates and bone morphogenetic protein (BMP), all of which are partially effective only in the very early stages of the disease. Further, these strategies often only improve pain and range of motion in the short-term in some patients and do not predictably prevent progression of the disease. Tissue engineering strategies with the combined use of biomaterials, stem cells and growth factors offer a potential strategy to avoid metallic implants and surgery. Structural, bioactive biomaterial platforms could help in stabilizing the femoral head while inducing osteogenic differentiation to regenerate bone and provide angiogenic cues to concomitantly recover vasculature in the femoral head. Moreover, injectable systems that can be delivered using a minimal invasive procedure and provide mechanical support the collapsing femoral head could potentially alleviate the need for surgical interventions in the future. The present review describes the limitations of existing surgical methods and the recent advances in tissue engineering that are leading in the direction of a clinically effective, translational solution for AVN in future.
Review on the Lymphatic Vessels in the Dental Pulp
Authors: Wiśniewska Kamila , Rybak Zbigniew , Szymonowicz Maria , Kuropka Piotr , Dobrzyński Maciej
Published: December 2021

Despite many studies, opinions on the lymphatic system of the teeth are still incompatible. Studies using light and electron microscopy and directly using methods such as a radioisotope (radionuclide) scan and interstitial fluid pressure measurement reported incomplete results. Immunohistochemistry (IHC) plays the main role in investigating presence of the lymphatic system in dental tissues. This method uses labeled antibodies against antigens typical of lymphatic vessels. The use of appropriate staining enables the detection of antigen-antibody reaction products using a light (optical), electron or fluorescence microscope. However, these studies do not show the system of vessels, their histologic structure under physiological conditions and inflammation as well as the lymphangiogenesis process in the dental pulp. Unfortunately, there is a lack of studies associating the presence of lymphatic vessels in the dental pulp with local lymphatic nodes or large vessels outside the tooth. In the scientific and research environment, the evaluation of the lymphatic system of the teeth is problematic because it is quite difficult to clearly distinguish lymphatic vessels from small blood vessels. Despite many indications of the presence of lymphatic vessels in the pulp chamber, this problem remains open and needs further research.
Molecular Aspects of Cellular Dysfunction in Alzheimer’s Disease: The Need for a Holistic View of the Early Pathogenesis
Authors: Merlo Sara , Spampinato Simona Federica , Lim Dmitry
Published: December 2021

Alzheimer’s disease (AD) is the most common cause of dementia in the elderly, a socio-economic burden destined to worsen with increased population aging [...]
Novel Approaches in Biomolecule Labeling
Authors: Sabot Cyrille , Kele Péter
Published: December 2021

The selective functionalization of biomolecules such as proteins, nucleic acids, lipids or carbohydrates is a focus of persistent interest due to their widespread use, ranging from basic chemical biology research to gain insight into biological processes to the most promising biomedical applications, including the development of diagnostics or targeted therapies [...]
The Role of Estrogens and Vitamin D in Cardiomyocyte Protection: A Female Perspective
Authors: Crescioli Clara
Published: December 2021

Women experience a dramatical raise in cardiovascular events after menopause. The decline in estrogens is pointed to as the major responsible trigger for the increased risk of cardiovascular disease (CVD). Indeed, the menopausal transition associates with heart macro-remodeling, which results from a fine-tuned cell micro-remodeling. The remodeling of cardiomyocytes is a biomolecular response to several physiologic and pathologic stimuli, allowing healthy adaptation in normal conditions or maladaptation in an unfavorable environment, ending in organ architecture disarray. Estrogens largely impinge on cardiomyocyte remodeling, but they cannot fully explain the sex-dimorphism of CVD risk. Albeit cell remodeling and adaptation are under multifactorial regulation, vitamin D emerges to exert significant protective effects, controlling some intracellular paths, often shared with estrogen signaling. In post-menopause, the unfavorable association of hypoestrogenism-D hypovitaminosis may converge towards maladaptive remodeling and contribute to increased CVD risk. The aim of this review is to overview the role of estrogens and vitamin D in female cardiac health, speculating on their potential synergistic effect in cardiomyocyte remodeling, an issue that is not yet fully explored. Further learning the crosstalk between these two steroids in the biomolecular orchestration of cardiac cell fate during adaptation may help the translational approach to future cardioprotective strategies for women health.
Epigenomics and Lipidomics Integration in Alzheimer Disease: Pathways Involved in Early Stages
Authors: Peña-Bautista Carmen , Álvarez-Sánchez Lourdes , Cañada-Martínez Antonio José , Baquero Miguel , Cháfer-Pericás Consuelo
Published: December 2021

Background: Alzheimer Disease (AD) is the most prevalent dementia. However, the physiopathological mechanisms involved in its development are unclear. In this sense, a multi-omics approach could provide some progress. Methods: Epigenomic and lipidomic analysis were carried out in plasma samples from patients with mild cognitive impairment (MCI) due to AD (n = 22), and healthy controls (n = 5). Then, omics integration between microRNAs (miRNAs) and lipids was performed by Sparse Partial Least Squares (s-PLS) regression and target genes for the selected miRNAs were identified. Results: 25 miRNAs and 25 lipids with higher loadings in the sPLS regression were selected. Lipids from phosphatidylethanolamines (PE), lysophosphatidylcholines (LPC), ceramides, phosphatidylcholines (PC), triglycerides (TG) and several long chain fatty acids families were identified as differentially expressed in AD. Among them, several fatty acids showed strong positive correlations with miRNAs studied. In fact, these miRNAs regulated genes implied in fatty acids metabolism, as elongation of very long-chain fatty acids (ELOVL), and fatty acid desaturases (FADs). Conclusions: The lipidomic–epigenomic integration showed that several lipids and miRNAs were differentially expressed in AD, being the fatty acids mechanisms potentially involved in the disease development. However, further work about targeted analysis should be carried out in a larger cohort, in order to validate these preliminary results and study the proposed pathways in detail.