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PurposeBecause new-age technologies are gaining a broader interest among service scholars and practitioners, it is critical to identify these technologies and examine the roles they play. The examination needs to be conducted to design engaging customer and service experiences in new phygital settings that connect physical and digital environments. This review article aims to provide researchers with a new comprehensive and integrative extended reality technology (ERT) framework. The framework serves as the basis for an all-inclusive view of ERT types in order to explore the different types of technology used to design phygital customer and service experiences.Design/methodology/approachThis article reviews prior works on the role technology plays in terms of customer experiences across various fields of research, including consumer, marketing and service literature. Adopting an experiential and phygital perspective as well as considering a consumer standpoint, this article defines the scope of the ERT framework by identifying categories of new-age technologies and their effects related to the design of phygital customer and service experiences.FindingsThe ERT framework proposed in this article offers directions for future research by adopting an experiential approach to technologies in order to categorize additional technological devices, platforms and tools that can be considered in the design of phygital experiences following several extension processes. These processes can enhance the cognitive, social, sensory and contextual dimensions of the phygital experience and thus create a continuum in terms of customer value from physical to digital settings and vice versa.Research limitations/implicationsCompanies and service providers may benefit from a new, comprehensive, focused framework that assembles different types of technology. The technologies can be utilized to design engaging customer and service experiences that deliver customer value from physical to digital spaces and inversely.Originality/valueNo prior works have proposed a comprehensive ERT framework for service research following an experiential perspective and a consumer view of the experience occurring in a new setting: phygital. By embracing the ERT framework provided in this article, future service scholars can examine the dynamics and types of technologies that can positively or negatively affect the design of consumption and service experiences in phygital settings.

IntroductionThe relationship between behavioral changes and the menstrual cycle in women at a reproductive age has been investigated in several studies; women during every menstrual cycle experience noticeable changes in levels of sex hormones which are consequently reflected on their mood and behavior. The relationship between the menstrual cycle and the emotion recognition processing has been also studied.ObjectivesThe aim of this study was to examine if differences exist between women with Premenstrual Dysphonic Disorder (PMDD) and women without PMDD in Emotion recognition processing across menstrual cycle.MethodsWe examined 26 women with a PMDD and 30 women without PMDD, who have both visited the Mental Health Centre (aged 18-35 y.o., right handed, educational level >9 y., regular cycle duration). Women were clinically interviewed (DSM-V); also the Emotion Recognition Task (ERT) was administered in the luteal and the follicular phase.ResultsWomen with PMDD showed significant differences in emotion recognition depending on the the luteal and the follicular phase (according to estradiol and progesterone level) whereas women without PMDD did not present significantly different responses to the emotional stimuli.ConclusionsOur findings suggest that there is an effect of PMDD on emotional facial recognition across the two phases of the menstrual cycle. Thus, the importance of incorporating ERT in the formal clinical examination of PMDD is highlighted.DisclosureNo significant relationships.

Electrical resistance tomography (ERT) has been investigated in monitoring conductive flows due to its high speed, non-intrusive and no radiation hazard advantages. Recently, we have developed an ERT system for the novel application of smart wastewater metering. The dedicated low cost and high-speed design of the reported ERT device allows for imaging pipes with different flow constituents and monitoring the sewer networks. This work extends the capability of such a system to work with partially filled lateral pipes where the incomplete data issue arises due to the electrodes losing contact with the conductive medium. Although the ERT for such a limited region has been developed for many years, there is no study on imaging content within these limited regions. For wastewater monitoring, this means imaging the wastewater and solid inclusions at the same time. This paper has presented a modified ERT system that has the capacity to image inclusions within the conductive region using limited data. We have adjusted the ERT hardware to register the information of the non-contact electrodes and hence the valid measurements. A limited region image reconstruction method based on Jacobian reformulation is applied to gain robustness when it comes to inclusion recovery in limited data ERT. Both simulation and experimental results have demonstrated an enhanced performance brought by the limited region method in comparison to the global reconstruction.

Flash flooding is considered one of the most dynamic natural disasters for which measures need to be taken to minimize economic damages, adverse effects, and consequences by mapping flood susceptibility. Identifying areas prone to flash flooding is a crucial step in flash flood hazard management. In the present study, the Kalvan watershed in Markazi Province, Iran, was chosen to evaluate the flash flood susceptibility modeling. Thus, to detect flash flood-prone zones in this study area, five machine learning (ML) algorithms were tested. These included boosted regression tree (BRT), random forest (RF), parallel random forest (PRF), regularized random forest (RRF), and extremely randomized trees (ERT). Fifteen climatic and geo-environmental variables were used as inputs of the flash flood susceptibility models. The results showed that ERT was the most optimal model with an area under curve (AUC) value of 0.82. The rest of the models’ AUC values, i.e., RRF, PRF, RF, and BRT, were 0.80, 0.79, 0.78, and 0.75, respectively. In the ERT model, the areal coverage for very high to moderate flash flood susceptible area was 582.56 km2 (28.33%), and the rest of the portion was associated with very low to low susceptibility zones. It is concluded that topographical and hydrological parameters, e.g., altitude, slope, rainfall, and the river’s distance, were the most effective parameters. The results of this study will play a vital role in the planning and implementation of flood mitigation strategies in the region.

Grotto rock structure detection is precondition of the grotto protection and restoration. As a stable and non-destructive geophysical method, electrical resistivity tomography (ERT) is extensively used to detect the geological structure of the grottoes. However, the traditional ERT measurement scheme is challenging to satisfy the requirements of high accuracy and high resolution in the cliff region. Therefore, we propose a new borehole-to-surface-to-cliff ERT (BSC-ERT) scheme for grotto detection. The sensitivity patterns of five ERT schemes using three configurations (A-MN array, AB-MN array, and AM-BN array) are tested to show the detection capability of different configurations. Two numerical experiments show that the combination of borehole-to-surface ERT (BS-ERT) and surface-to-cliff ERT (SC-ERT) schemes using AM-BN array have better imaging effects and a more reasonable detection range, which is recommended to be implemented for future work. In addition, the numerical experiment also proves that the symmetric effect generated in the AM-BN array in BS-ERT scheme can be suppressed with the combination of the SC-ERT scheme.

In this paper, we discuss the necessity of mapping of characterisation of unapproachable underground mine workings by electrical resistivity tomography (ERT). Initially, numerical forward modelling is conducted for considering the possibilities of water fill and air fill void in old workings using Wenner–Schlumberger (WS), dipole–dipole (DD) and inversion of joint of both arrays (WS+DD). Considerable accuracy of cavities dimension, depth and extensions could be recovered from data inversion of joint of both arrays (WS+DD). In field, 2D ERT survey was conducted along three parallel profiles using said configurations over Jharia coalfield, India. Inversion of joint of both arrays was introduced during data analysis for propensities of better demarcation of underground mine workings characterisations under complex geological formations. Furthers, pseudo-3D model was also done by merging 2D ERT parallel profile data for improved visualisation of 3D resistivity distributions of surveyed area. High resistivity contrast in 2D ERT model and 3D volumetric iso-resistivity model provided comfortable guidance in the investigation of possible continuity of barrier between caved panels of XVIA seam. Moderately low resistivity indicated anticipation of XVII seam working filled with water and also validated through the existing mine plan. Thus, interpretation of 3D data eventually helped in convincing outcomes.

There is a gap between lab experiments where resistivity–soil moisture relations are generally very good and field studies in complex environmental settings where relations are always less good and complicated by many factors. An experiment was designed where environmental settings are more controlled, the best outside laboratory, to assess the transferability from lab to outdoor. A field experiment was carried out to evaluate the use of electric resistivity tomography (ERT) for monitoring soil moisture dynamics over a period of 67 days. A homogeneous site in the central part of The Netherlands was selected consisting of grass pasture on an aeolian sand soil profile. ERT values were correlated to gravimetric soil moisture samples for five depths at three different dates. Correlations ranged from 0.43 to 0.73 and were best for a soil depth of 90 cm. Resistivity patterns over time (time-lapse ERT) were analyzed and related to rainfall events where rainfall infiltration patterns could be identified. Duplicate ERT measurements showed that the noise level of the instrument and measurements is low and generally below 3% for the soil profile below the mixed layer but above the groundwater. Although the majority of the measured resistivity patterns could be well explained, some artefacts and dynamics were more difficult to clarify, even so in this homogeneous field situation. The presence of an oak tree with its root structure and a ditch with surface water with higher conductivity may have an impact on the resistivity pattern in the soil profile and over time. We conclude that ERT allows for detailed spatial measurement of local soil moisture dynamics resulting from precipitation although field experiments do not yield accuracies similar to laboratory experiments. ERT approaches are suitable for detailed spatial analyses where probe or sample-based methods are limited in reach or repeatability.

Plants contain numerous glycoconjugates that are metabolized by specific glucosyltransferases and hydrolyzed by specific glycosidases, some also catalyzing synthetic transglycosylation reactions. The documented value of plant-derived glycoconjugates to beneficially modulate metabolism is first addressed. Next, focus is given to glycosidases, the central theme of the review. The therapeutic value of plant glycosidases is discussed as well as the present production in plant platforms of therapeutic human glycosidases used in enzyme replacement therapies. The increasing knowledge on glycosidases, including structure and catalytic mechanism, is described. The novel insights have allowed the design of functionalized highly specific suicide inhibitors of glycosidases. These so-called activity-based probes allow unprecedented visualization of glycosidases cross-species. Here, special attention is paid on the use of such probes in plant science that promote the discovery of novel enzymes and the identification of potential therapeutic inhibitors and chaperones.

Adenosine deaminase deficiency (ADA) is a purine salvage pathway deficiency that results in buildup of toxic metabolites causing death in rapidly dividing cells, especially lymphocytes. The most complete form of ADA leads to severe combined immune deficiency (SCID). Treatment with enzyme replacement therapy (ERT) was developed in the 1970s and became the treatment for ADA SCID by the 1980s. It remains an option for some infants with SCID, and a stopgap measure for others awaiting curative therapy. For some infants with ADA SCID who have matching family donors hematopoietic stem cell transplant (HSCT) is an option for cure. Gene therapy for ADA SCID, approved in some countries and in trials in others, is becoming possible for more infants with this disorder. This review covers the history of ADA SCID, the treatment options to date and particularly the history of the development of gene therapy for ADA SCID and the current state of the risks and benefits of the gene therapy option. Keywords: adenosine deaminase deficiency, ADA, severe combined immunodeficiency, SCID, enzyme replacement therapy, ERT, gene therapy

Enzyme replacement therapy (ERT) is available for mucopolysaccharidosis (MPS) I, MPS II, MPS VI, and MPS IVA. The efficacy of ERT has been evaluated in clinical trials and in many post-marketing studies with a long-term follow-up for MPS I, MPS II, and MPS VI. While ERT is effective in reducing urinary glycosaminoglycans (GAGs) and liver and spleen volume, cartilaginous organs such as the trachea and bronchi, bones and eyes are poorly impacted by ERT probably due to limited penetration in the specific tissue. ERT in the present formulations also does not cross the blood–brain barrier, with the consequence that the central nervous system is not cured by ERT. This is particularly important for severe forms of MPS I and MPS II characterized by cognitive decline. For severe MPS I patients (Hurler), early haematopoietic stem cell transplantation is the gold standard, while still controversial is the role of stem cell transplantation in MPS II. The use of ERT in patients with severe cognitive decline is the subject of debate; the current position of the scientific community is that ERT must be started in all patients who do not have a more effective treatment. Neonatal screening is widely suggested for treatable MPS, and many pilot studies are ongoing. The rationale is that early, possibly pre-symptomatic treatment can improve prognosis. All patients develop anti-ERT antibodies but only a few have drug-related adverse reactions. It has not yet been definitely clarified if high-titre antibodies may, at least in some cases, reduce the efficacy of ERT.