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The booster stage of a plant for compressing a gaseous medium to 1 GPa is described, which is a thin-walled bellows chamber immersed in a hydrostatically compressed medium. This design allows for creating the required pressure in the working volume of more than 1.5 cm3, which is sufficient for both optical studies and accurate pressure measurements in the working chamber. [ABSTRACT FROM AUTHOR]

Purpose: To examine the movement and physiological demands of rugby union officiating in elite competition. Methods: Movement demands of 9 elite officials across 12 Super Rugby matches were calculated, using global positioning system devices. Total distance (in m), relative distance (in m·min−1), and percentage time spent in various speed zones were calculated across a match. Heart-rate (HR) responses were also recorded throughout each match. Cohen d effect sizes were reported to examine the within-match variations. Results: The total distance covered was 8030 (506) m, with a relative distance of 83 (5) m·min−1 and with no differences observed between halves. Most game time was spent at lower movement speeds (76% [2%]; <2.0 m·s−1), with large effects for time spent >7.0 m·s−1 between halves (d = 2.85). Mean HR was 154 (10) beats·min−1 (83.8 [2.9]%HRmax), with no differences observed between the first and second halves. Most game time was spent between 81%HRmax and 90%HRmax (40.5% [7.5%]) with no observable differences between halves. Distances covered above 5.1 m·s−1 were highest during the first 10 min of a match, while distance at speeds 3.7 to 5 m·s−1 decreased during the final 10 min of play. Conclusions: These findings highlight the highly demanding and intermittent nature of rugby union officiating, with only some minor variations in physical and physiological demands across a match. These results have implications for the physical preparation of professional rugby union referees. [ABSTRACT FROM AUTHOR]

This paper presents the development and proof of concept of a tool to predict worker and system performance using inputs of work element descriptions and hand locations from a seated, light assembly workstation layout. Tool inputs can be obtained in the design stage. Tool outputs include human factors (shoulder load, hand movement, reach zone acceptability) and system (element time and cycle time) information. Shoulder loads are predicted from two-dimensional shoulder models created from a digital human model. The tool is demonstrated on a previous observation-based assessment of a workstation redesign. Results reflected the findings of the observation assessment, but also provided more work cycle information as well as cumulative, work shift information. The tool enables prediction of workload and task performance times from design stage parameters without the need of an ergonomist. It can be used to predict critical components of the layout and plan workflow based on worker, workstation and task information. The tool is available for free downloaded at: www.researchgate.net/project/Workstation-Efficiency-Evaluator-WEE-Tool. [ABSTRACT FROM AUTHOR]

Purpose: Recent studies have shown that soccer players' responses are similar on natural grass (NG) and artificial turf (AT), but they did not control the mechanical properties of these surfaces. This work aimed to analyze the influence of the game surface on amateur soccer players' physical and physiological responses using a soccer simulation protocol. Methods: A total of 16 amateur players performed 3 bouts of the soccer simulation protocol on AT, and, on another day, 3 bouts on NG. The mechanical properties of both surfaces were recorded. The order of surfaces was randomly established for each participant. Physiological responses of players were assessed before and after the 6-repeated-sprints test existing at the midpoint of each bout. Fatigue (% best; % diff) and general variables (total time; best time, mean time; maximum speed) for both the repeated sprint test (RST) and the agility tests (nonlinear actions at maximum speed) incorporated into the soccer simulation protocol were also analyzed. Results: The 2 surfaces displayed different mechanical properties. Physical responses were found similar for both surfaces (P > .05) before and after the RST. There were no surface differences in sprint times or fatigue variables for the RST (P > .05). The agility test was faster on AT than on NG in bout 1 (average speed [+1.17 km/h;P = .037]; agility test cut time [-0.31 s; P = .027] and best time [-0.52 s; P = .042]). Conclusions: The differences in the mechanical properties of the 2 surfaces are not sufficient to cause differences in the physiological and physical responses of soccer players, although they may affect turns and cuts. [ABSTRACT FROM AUTHOR]

Time--motion analysis is a valuable data-collection technique used to quantify the physical match performance of elite soccer players. For over 40 years, researchers have adopted a "traditional" approach when evaluating match demands by simply reporting the distance covered or time spent along a motion continuum of walking through to sprinting. This methodology quantifies physical metrics in isolation without integrating other factors, and this ultimately leads to a 1-dimensional insight into match performance. Thus, this commentary proposes a novel "integrated" approach that focuses on a sensitive physical metric such as high-intensity running but contextualizes this in relation to key tactical activities for each position and collectively for the team. In the example presented, the integrated model clearly unveils the unique high-intensity profile that exists due to distinct tactical roles, rather than 1-dimensional "blind" distances produced by traditional models. Intuitively, this innovative concept may aid coaches' understanding of the physical performance in relation to the tactical roles and instructions given to the players. In addition, it will enable practitioners to effectively translate match metrics into training and testing protocols. This innovative model may well aid advances in other team sports that incorporate similar intermittent movements with tactical purpose. Evidence of the merits and application of this new concept is needed before the scientific community accepts this model as it may well add complexity to an area that conceivably needs simplicity. [ABSTRACT FROM AUTHOR]

Purpose: Investigations into the specificity of rugby union training practices in preparation for competitive demands have predominantly focused on physical and physiological demands. The evaluation of the contextual variance in perceptual strain or skill requirements between training and matches in rugby union is unclear, yet holistic understanding may assist to optimize training design. This study evaluated the specificity of physical, physiological, perceptual, and skill demands of training sessions compared with competitive match play in preprofessional, elite club rugby union. Methods: Global positioning system devices, video capture, heart rate, and session ratings of perceived exertion were used to assess movement patterns, skill completions, physiologic, and perceptual responses, respectively. Data were collected across a season (training sessions n = 29; matches n = 14). Participants (n = 32) were grouped in playing positions as: outside backs, centers, halves, loose forwards, lock forwards, and front row forwards. Results: Greater total distance, low-intensity activity, maximal speed, and meters per minute were apparent in matches compared with training in all positions (P < .02; d > 0.90). Similarly, match heart rate and session ratings of perceived exertion responses were higher than those recorded in training (P < .05; d > 0.8). Key skill completions for forwards (ie, scrums, rucks, and lineouts) and backs (ie, kicks) were greater under match conditions than in training (P < .001; d > 1.50). Conclusion: Considerable disparities exist between the perceptual, physiological, and key skill demands of competitive matches versus training sessions in preprofessional rugby union players. Practitioners should consider the specificity of training tasks for preprofessional rugby players to ensure the best preparation for match demands. [ABSTRACT FROM AUTHOR]

A key requirement for network management is the accurate and reliable monitoring of relevant network characteristics. In today's large-scale networks, this is a challenging task due to the scarcity of network measurement resources and the hard constraints that this imposes. This paper proposes a new framework, called SNIPER, which leverages the flexibility provided by Software-Defined Networking (SDN) to design the optimal observation or measurement matrix that can lead to the best achievable estimation accuracy using Matrix Completion (MC) techniques. To cope with the complexity of designing large-scale optimal observation matrices, we use the Evolutionary Optimization Algorithms (EOA) which directly target the ultimate estimation accuracy as the optimization objective function. We evaluate the performance of SNIPER using both synthetic and real network measurement traces from different network topologies and by considering two main applications for per-flow size and delay estimations. Our results show that SNIPER can be applied to a variety of network performance measurements under hard resource constraints. For example, by measuring only 8.8% of all per-flow path delays in Harvard network [1], congested paths can be detected with probability of 0.94. To demonstrate the feasibility of our framework, we also have implemented a prototype of SNIPER in Mininet.

Background: Throughout the psychotherapeutic and coaching literature, the client-therapist or coach-coachee working alliance has been highlighted as key force driving positive outcome. The Working Alliance Inventory Short form (WAI-S) for coaching charts the quality of working alliance throughout coaching sessions and is broadly applied in coaching research. Due to a shortfall in research on psychometric properties of the WAI-S, the purpose of this study was to examine (a) if the theorized three-factor structure of the 12-item WAI-S forms a solid representation of the dimensions of working alliance in coaching, and (b) longitudinal measurement invariance (LMI) of the WAI-S. Method: Data were collected in a two-wave study design comprising a main study sample of N = 690 Dutch coachees that completed the questionnaire at the first measurement, of which N = 490 also completed the questionnaire at the second measurement. Post hoc sensitivity analysis was performed based on the original sample, lacking additional information on covariates, and included both completers and dropouts, comprising N = 1986 respondents at T1, and N = 1020 respondents at T2. Results: Confirmatory factor analyses evidenced best fit of the three-factor model in comparison to one-, and two-factor models at both time points. Despite the fact that multigroup confirmatory factor analysis detected non-invariant intercepts, our findings overall supported measurement invariance across coaching sessions. Conclusions: As decisions in both clinical and scientific practices generally rely on outcome assessment of interpersonal change in scores on the same measure over time, we believe our findings to be of contributing value to the consolidation of interpretation and accuracy of scorings on the WAI-S in coaching. [ABSTRACT FROM AUTHOR]

The narrow cross-section of cloud and aerosol properties retrieved by L2-algorithms that operate on data from EarthCARE's nadir-pointing sensors gets "broadened" across-track by an algorithm that is described and demonstrated here. This Scene Construction Algorithm (SCA) consists of four sub-algorithms. At its core is a radiance-match10 ing procedure that works with measurements made by EarthCARE's Multi-Spectral Imager (MSI). In essence, an offnadir pixel gets filled with retrieved profiles that are associated with a (nearby) nadir pixel whose MSI radiances best match those of the off-nadir pixel. The SCA constructs a 3D array of cloud and aerosol (and surface) properties for entire frames that measure ~6,000 km along-track by 150 km across-track (i.e., the MSI's full swath). Constructed domains out to ~15 km on both sides of nadir are used explicitly downstream as input for 3D radiative transfer models that predict top-of-atmosphere (TOA) broadband solar and thermal fluxes and radiances. These quantities are compared to commensurate measurements made by EarthCARE's BroadBand Radiometer (BBR), thus facilitating a continuous closure assessment of the retrievals. Three 6,000 km x 200 km frames of synthetic EarthCARE observations were used to demonstrate the SCA. The main conclusion is that errors in modelled TOA fluxes that stem from use of 3D domains produced by the SCA are expected to be less than W m-2 and rarely larger than W m-2. As such, the SCA, as purveyor of information needed to run 3D radiative transfer models, should help more than hinder the radiative closure ±5 ±10 As such, the SCA, as 20 purveyor of information needed to run 3D radiative transfer models, should help more than hinder the radiative closure assessment of EarthCARE's L2 retrievals. [ABSTRACT FROM AUTHOR]

Aim: This study examined the effect on pediatric nursing handover quality and efficiency when a standardized e‐handover system was implemented. Background: Handover quality is an important aspect of nursing quality management; however, handover quality among nursing staff is poor. Methods: A prospective interventional study was carried out in a general pediatrics ward from December 2019 to November 2020. The tools included a standardized e‐handover system. The intervention strategies included workflow remodeling and employee training on oral handover using the standardized e‐handover system. Results: The omission frequency of critical handover elements decreased from 47.32% to 2.94% (p <.01), among which the omission frequencies of nine out of 16 key elements significantly decreased. Integrity also showed improvement. Specifically, the integrity of five types of critical information was significantly improved, including vital signs, signs and symptoms, laboratory test results, radiologic examination results, and treatment regimen (2.00 vs. 5.00, p <.01; 3.00 vs. 5.00, p <.01; 3.00 vs. 5.00, p <.01; 5.00 vs. 5.00, p =.009; 3.00 vs. 4.00, p <.01, respectively). Information accuracy was 100%. Workflow and efficiency significantly improved, communication duration with patient/family during work hours significantly increased (24.00 vs. 56.00, p <.01), and prehandover preparation duration significantly decreased (32.00 vs. 2.50, p <.01). Nurse handover satisfaction showed improvement (56.88 ± 15.08 vs. 74.31 ± 9.22, p <.01). Conclusion: The standardized e‐handover system effectively improved nurse handover quality, optimized workflow, increased work efficiency, and promoted teamwork. Implications for Nursing Management: Standardized e‐handover systems have great potential for ensuring the safety of pediatric patients and improving the quality of handover. [ABSTRACT FROM AUTHOR]

Copyright of Railway Investigation & Surveying is the property of Railway Investigation & Surveying Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This work tackles the measurement invariance of the social cognition construct when different observers, age and participant's age are considered. This is a prior question that needs to be answered before attributing discrepancies in information coming from diverse sources just to the varying behavior occurring across setting, and mainly interpret the discrepancies as indicative of cross-contextual variability. The article also studies the link between discrepancies and source-specific information and the validity of that information to predict several outcomes. The measurement invariance across sex, time and informant of a social cognition measure applied to children's parents and teachers was longitudinally tested in a Spanish general population sample, at ages 5 (N = 581) and 10 (N = 438). Full or partial metric and scalar equivalence were found across sex and over time within informants. Partial scalar invariance was not obtained across informants. Latent class analysis identified 2 classes of difficulties in social cognition for both informants at both ages: low social cognition and high social cognition. Comparison of classes resulting predicting outcomes yielded differential predictions due not only to varying context but also to a different concept of social cognition across informants. In general, significant differences between raters were informant dependent. We conclude that it is important to consider both teachers' and parents' observations to fully understand the construct of social cognition. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Xi'an Polytechnic University is the property of Editorial Department of Journal of Xi'an Polytechnic University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: Two-dimensional (2D) measurement technology has become more popular than before, thanks to the widespread availability of smartphones and smart devices. However, most existing 2D body measurement systems have background constraints and may raise privacy concerns. The purpose of this research was to test the idea of designing a 2D measurement system that works with a color-coded measurement garment for background removal and privacy protection. Clothing consumers can use the proposed system for daily apparel shopping purposes. Design/methodology/approach: A 2D body measurement system was designed and tested. The system adopted a close-fitted color-coded measurement garment and used neural network models to detect the color-code in the garment area and remove backgrounds. In total, 78 participants were recruited, and the collected data were split into training and testing sets. The training dataset was used to train the neural network and statistical prediction models for the 2D system. The testing dataset was used to compare the performance of the 2D system with a commercial three-dimensional (3D) body scanner. Findings: The results showed that the color-coded measurement garment worked well with the neural network models to process the images for measurement extraction. The 2D measurement system worked better at close-fitted areas than loose-fitted areas. Originality/value: This research combined a color-coded measurement garment with neural network models to solve the privacy and background challenges of the 2D body measurement system. Other researchers have never studied this approach. [ABSTRACT FROM AUTHOR]

Objectives: To prospectively assess the reliability and accuracy of high-resolution, dental MRI (dMRI) for endodontic working length (WL) measurements of premolars and molars under clinical conditions. Materials and methods: Three-Tesla dMRI was performed in 9 subjects who also had undergone cone-beam computed tomography (CBCT) (mean age: 47 ± 13.5 years). A total of 34 root canals from 12 molars (4/8, upper/lower jaw; 22 root canals) and 11 premolars (2/9 upper/lower jaw; 12 root canals) were included. CBCT and dMRI datasets were reconstructed to visualize the root canal in one single slice. Subsequently, two radiologists measured the root canal lengths in both modalities twice in blinded fashion. Reliability and accuracy for both modalities were assessed using intraclass correlation coefficients (ICCs) and Bland–Altman analysis, respectively. Results: Reliability (intra-rater I/II; inter-rater) of dental MRI measurements was excellent and comparable to CBCT for premolars (0.993/0.900; 0.958 vs. 0.993/0.956; 0.951) and for molars (0.978/0.995; 0.986 vs. 0.992/0.996; 0.989). Bland–Altman analysis revealed a mean underestimation/bias (95% confidence interval) of dMRI measurements of 0.8 (− 1.44/3.05) mm for premolars and 0.4 (− 1.55/2.39) mm for molars. In up to 59% of the cases, the accuracy of dMRI for WL measurements was within the underestimation margin of 0 to 2 mm short of the apical foramen AF. Conclusions: In vivo demonstration and measurement of WL are feasible using dMRI. The reliability of measurements is high and equivalent to CBCT. Nonetheless, due to lower spatial resolution and longer acquisition time, the accuracy of dMRI is inferior to CBCT, impeding its current use for clinical treatment planning. Clinical relevance: dMRI is a promising radiation-free imaging technique. Its reliability for endodontic working length measurements is high, but its accuracy is not satisfactory enough yet. [ABSTRACT FROM AUTHOR]

A key requirement for network management is the accurate and reliable monitoring of relevant network characteristics. In today's large-scale networks, this is a challenging task due to the scarcity of network measurement resources and the hard constraints that this imposes. This paper proposes a new framework, called SNIPER, which leverages the flexibility provided by Software-Defined Networking (SDN) to design the optimal observation or measurement matrix that can lead to the best achievable estimation accuracy using Matrix Completion (MC) techniques. To cope with the complexity of designing large-scale optimal observation matrices, we use the Evolutionary Optimization Algorithms (EOA) which directly target the ultimate estimation accuracy as the optimization objective function. We evaluate the performance of SNIPER using both synthetic and real network measurement traces from different network topologies and by considering two main applications for per-flow size and delay estimations. Our results show that SNIPER can be applied to a variety of network performance measurements under hard resource constraints. For example, by measuring only 8.8% of all per-flow path delays in Harvard network [1], congested paths can be detected with probability of 0.94. To demonstrate the feasibility of our framework, we also have implemented a prototype of SNIPER in Mininet.

There are few studies evaluating the workforce and the time allocated to tasks performed by clinical specialty pharmacists in Australia. The aim of this study was to quantify the time that clinical specialty pharmacists spend on various activities. A Work Observation Method by Activity Timing (WOMBAT) time and motion study was conducted at a tertiary‐referral metropolitan health service with comprehensive unit‐based clinical pharmacy services. Direct observations of clinical pharmacists were conducted by researchers during weekdays. Tasks and times observed were categorised into domains of 'What, Who, How, and Where', accounting for interruptions and multitasking. Eighteen clinical cardiology, respiratory, and geriatric pharmacists were observed over 171.2 h. The majority of time involved direct patient care activities (76.1% [95% confidence interval 72.6–79.6%]), including admission‐related (7.6%), discharge‐related (16.2%), and inpatient clinical tasks (52.5%). Activities were undertaken independently (55.9%) with doctors (26.2%), with nurses (10.5%), or with patients (9.6)%; 19.1% of the pharmacist's day involved multitasking. The tasks most frequently performed together were inpatient clinical activities, including rounding and daily medicine review. This study quantified the typical task allocation of clinical pharmacists in cardiology, respiratory, and geriatric units. It demonstrated that in a hospital setting supported by comprehensive operational pharmacy services, clinical pharmacists working in acute and subacute clinical specialities, predominately undertake direct patient care tasks that have been shown to improve patient safety. [ABSTRACT FROM AUTHOR]

To eliminate the unfavorable effect of the accumulation of end-of-life car tires on the environment, many studies have been conducted to recycle those tires in concrete as a partial or full replacement of its natural aggregates. However, the produced rubberized concrete suffers from low compressive strength due to low adhesion at the rubber/cement interface. Pre-treating of rubber surfaces before use in concrete is the most effective way to overcome this adverse effect on the concrete strength. Several studies introduced different methods to enhance rubberized-concrete strength through pre-treating rubber particles, especially when using a high content of rubber in concrete. This study presents the results of experimental work on the effect of heat treatment on crumb-rubber–concrete mechanical performance. Rubber contents of 40%, 60% and 80% of sand volume were the variables in this study. Workability, density, compressive strength, and impact resistance were the measurements in this experimental work. The results showed that using saturated-surface dry (SSD) rubber can eliminate the adverse effect on concrete slump when using a high rubber volume or the heat-treated rubber. Using heat-treated rubber at 200 °C for 2 h as 40%, 60%, and 80% displayed compressive strength recoveries of 14.9%, 10.4% and 9.7%, respectively. Heat treatment of 40%, 60%, and 80% rubber contents increased the impact resistance for ultimate failure by 57%, 28%, and 7%, respectively, compared with those of the control mix. The thermal treatment enhanced the impact resistance at ultimate failure by 37%, 28%, and 15%, respectively, for mixes containing 40%, 60%, and 80% rubber contents compared with those of as-received rubber. [ABSTRACT FROM AUTHOR]

The millimeter-wave frequency band provides abundant frequency resources for the development of beyond 5th generation mobile network (B5G) mobile communication, and its relative bandwidth of 1% can provide a gigabit-level communication bandwidth. In particular, the D-band (110–170 GHz) has received much attention, due to its large available bandwidth. However, certain bands in the D-band are easily blocked by obstacles and lack penetration. In this paper, D-band millimeter-wave penetration losses of typical materials, such as vegetation, planks, glass, and slate, are investigated theoretically and experimentally. The comparative analysis between our experimental results and theoretical predictions shows that D-band waves find it difficult to penetrate thick materials, making it difficult for 5G millimeter waves to cover indoors from outdoor macro stations. The future B5G mobile communication also requires significant measurement work on different frequencies and different scenarios. [ABSTRACT FROM AUTHOR]

The electrical properties of many biological tissues are freely available from the INRC and the IT'IS databases. However, particularly in lower frequency ranges, few studies have investigated the optimal measurement protocol or the key confounders that need to be controlled, monitored, and reported. However, preliminary work suggests that the contact force of the measurement probe on the tissue sample can affect the measurements. The aim of this paper is to investigate the conductivity change due to the probe contact force in detail. Twenty ex vivo bovine heart samples are used, and conductivity measurements are taken in the Left Atrial Appendage, a common target for medical device developments. The conductivity measurements reported in this work (between 0.14 S/m and 0.24 S/m) align with the literature. The average conductivity is observed to change by −21% as the contact force increases from 2 N to 10 N. In contrast, in conditions where the fluid concentration in the measurement area is expected to be lower, very small changes are observed (less than 2.5%). These results suggest that the LAA conductivity is affected by the contact force due to the fluid concentration in the tissue. This work suggests that contact force should be controlled for in all future experiments. [ABSTRACT FROM AUTHOR]

Nonunion is one of the most dreaded complications after operative treatment of mandible fractures or after mandible reconstruction using vascularized and non-vascularized bone grafts. Often diagnosis is made at advanced stage of disease when pain or complications occur. Devices that monitor fracture healing and bone regeneration continuously are therefore urgently needed in the craniomaxillofacial area. One promising approach is the strain measurement of plates. An advanced prototype of an implantable strain measurement device was tested after fixation to a locking mandible reconstruction plate in multiple compression experiments to investigate the potential functionality of strain measurement in the mandibular region. Compression experiments show that strain measurement devices work well under experimental conditions in the mandibular angle and detect plate deformation in a reliable way. For monitoring in the mandibular body, the device used in its current configuration was not suitable. Implant strain measurement of reconstruction plates is a promising methodical approach for permanent monitoring of bone regeneration and fracture healing in the mandible. The method helps to avoid or detect complications at an early point in time after operative treatment. [ABSTRACT FROM AUTHOR]

Public blockchains, like Ethereum, rely on an underlying peer-to-peer (P2P) network to disseminate transactions and blocks between nodes. With the rise of blockchain applications and cryptocurrencies values, they have become critical infrastructures which still lack comprehensive studies. In this paper, we propose to investigate the reliability of the Ethereum P2P network. We developed our own dependable crawler to collect information about the peers composing the network. Our data analysis regarding the geographical distribution of peers and the churn rate shows good network properties while the network can exhibit a sudden and major increase in size and peers are highly concentrated on a few ASes. In a second time, we investigate suspicious patterns that can denote a Sybil attack. We find that many nodes hold numerous identities in the network and could become a threat. To mitigate future Sybil attacks, we propose an architecture to detect suspicious nodes and revoke them. It is based on a monitoring system, a smart contract to propagate the information and an external revocation tool to help clients remove their connections to suspicious peers. Our experiment on Ethereum’s Test network proved that our solution is effective. [ABSTRACT FROM AUTHOR]

Copyright of Problemas del Desarrollo. Revista Latinoamericana de Economía is the property of Universidad Nacional Autonoma de Mexico. Instituto de Investigaciones Economicas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Despite widespread LTE deployment, coverage does not necessarily translate to usable service. Even in well-provisioned urban networks, unusually high usage (such as during a public event or after a natural disaster) can lead to congestion that makes the LTE service difficult, if not impossible, to use, even if the user is solidly within the coverage area. A typical approach to detect and quantify congestion on LTE networks is to secure the cooperation of the network provider for access to internal metrics. An alternative approach is to deploy multiple mobile devices with active subscriptions to each network operator. Both approaches are resource and time intensive. In this work, we propose a novel method to estimate congestion from overloaded LTE networks using only passive measurements, and without requiring provider cooperation. We analyze packet-level traces for four commercial LTE service providers, from several locations during both typical levels of usage and during public events that yield large, dense crowds. This study presents the first look at congestion detection through overload estimation by examining unencrypted broadcast messages. We show that an upsurge in broadcast reject and cell barring messages, leading to overload, can accurately detect an increase in network congestion. [ABSTRACT FROM AUTHOR]

The access to full performance of state‐of‐the‐art Li‐ion batteries (LIBs) is hindered by the mysterious lithium plating behavior. A rapid quantified lithium plating determination method compatible with actual working conditions is an urgent necessity for safe working LIBs. In this contribution, the relationship between electrical double layer (EDL) capacitance and electrochemical active surface area (ECSA) of graphite anodes during the Li‐ion intercalation and Li plating processes is unveiled. We propose an operando lithium plating determination method based on the dynamic capacitance measurement (DCM) test. Reasonable selection of alternating current (AC) frequency protects the anodic responses from the interference of cathodic responses, which allows DCM to be applied in practical LIBs. The onset of lithium plating can be quantitatively traced, demonstrating the promise for real‐time operando determination for lithium plating in a working battery. [ABSTRACT FROM AUTHOR]

Objective: We assessed the measurement properties of the German Work Role Functioning Questionnaire (WRFQ) after its cross-cultural adaptation of the Dutch version. The WRFQ is a generic role-specific instrument that measures how a particular health status influences the ability to meet work demands.Methods: We performed an observational study among German employees assessing the following measurement properties: 1) structural, 2) convergent and 3) discriminant validity, 4) floor and ceiling effects, 5) internal consistency, 6) reproducibility and 7) responsiveness. Participants were recruited from an online access panel sample aged 18 to 64 years having worked more than 12 hours in the last 4 weeks prior to study enrollment (n(T0) = 653, n(T1) = 66, n(T2) = 95).Results: Measurement properties proved to be good except for structural validity and responsiveness. An exploratory factor analysis showed limited replicability of three of the four original subscales.Conclusion: With the WRFQ German version, the extent can be measured, to which employees with a certain health level experience problems can meet their work demands. This widely used health-related work outcome measurement tool, that helps to identify employees with decreasing work functioning, is now also available in German. This gives researchers and practitioners the opportunity to address work functioning in practice, e.g. in intervention studies in occupational health or rehabilitation. Further research to examine valid subscales is needed. [ABSTRACT FROM AUTHOR]

The present paper aims to present entropy and fuzzy degrees of the truth‐based framework to handle the group conflict under moderate evaluative, partial mediation. For group conflict handling, the present work considers Thomas and Kilmann's five conflict‐handling modes: competing, collaborating, avoiding, accommodating, and compromising. A methodology proposed in the current work systemically formalizes decision‐making on deploying a conflict‐handling method with mediators' opinions. The formalization of decision‐making elucidated in the present work involves measurements based on entropy and fuzzy degrees of truth. The current work applies the developed formal quantitative framework to a well‐known case of group conflict that involves conflict among a group of engineering students. The case supports the proposed formal framework. Behavioral, psychological, and cognitive facts about engineers come in handy for validation of the proposed framework. The case shows that the proposed approach can be highly generalized, interpretable, and replicable. [ABSTRACT FROM AUTHOR]

The machining of hard particle reinforced metal matrix composite material is always challenging. The machining behaviour of aluminium-based metal matrix composites (Al-MMCs) can be entirely different from conventional materials. This paper presents an experimental study of the effect of cutting parameters like cutting speed on surface quality and tool wear. Even the matrix material can be ductile, but hard particles and their binding with matrix material can bring a difference in the machinability of composite materials, specially MMCs. Three different MMC compositions, i.e. MMC reinforced with 15%, 20% and 25% SiC, were machined at various cutting speeds and feed rates. Tool wear and surface roughness of the machined surface of MMC were examined. Increased content of SiC increases the mechanical properties like hardness and compressive strength but was found detrimental to tool and surface quality. Tool wear was found increasing with both increasing feed rate and cutting speed. Application of image processing for measurement and prediction of tool wear is attempted by capturing the images of tool insert and processing using a MATLAB® based algorithm. Results are in line with many other research and establish the scope of future work for non-contact measurement of tool wear in real-time. [ABSTRACT FROM AUTHOR]

Two series of measurements of the equatorial currents in the Atlantic based on the shipborne acoustic Doppler current velocity profiler (SADCP) over a meridional section across the equator at 26° W are considered. The measurements were carried out in December 2021 and March 2022. Based on the profiling results, a detailed structure of the high-resolution velocity field section is presented. The novelty of the work is the measurement of the fine structure of currents by latitude and depth by measuring the current using a shipborne profiler with high spatial (500 m) and vertical (16 m) resolutions. This is the original result of our study. The flow parameters over the section in March 2022 indicate a high probability that the equatorial Lomonosov Undercurrent outcrops to the ocean surface. [ABSTRACT FROM AUTHOR]

Precise measurements of electrostatic fields in harsh environments are required in fields ranging from particle accelerators to industrial installations. Many techniques disrupt the field distribution due to the presence of conductors. We present a fully dielectric sensor for very harsh environmental conditions, that exploits the Pockels effect manifested by electro-optic crystals. This system is designed to allow DC measurements to be performed in the frequency domain. The paper discusses an analytical model and simulations of the system, validated with experimental results. The working principle of the measurement technique is explained in detail along the known limitations and possible solutions to further increase the performance. [ABSTRACT FROM AUTHOR]

Due to the complexity of the network structure and the high growth of the transmission speed, the measurement and management of the network are facing serious challenges. The traditional bottom-up network telemetry methods are no longer applicable to complex network scenarios. To bridge this gap, we propose IntStream, a flexible, expressive and scalable network telemetry framework to allow network operators to measure and analyze network through passive stream processing and active probing. However, there are three key challenges to building an intent-based telemetry system: (1) The diversity of network data sources. (2) The complexity of the measurement tasks. (3) The low overhead requirements of the telemetry system. IntStream introduces a lightweight component to extract and parse data from various data sources and divides the data stream processing into local and global stages. IntStream provides a set of rich expressive primitives to support operators to write telemetry tasks based on intent. By performing part of the telemetry task on the local stage, the transmission overhead of intermediate data can be effectively reduced. The evaluation results conducted on a large campus network show that IntStream can support a wide range of telemetry tasks while reducing the intermediate data transmission overhead by 99.31% on average. [ABSTRACT FROM AUTHOR]

Background: In addition to cognitive changes, motor impairments have been observed in patients with dementia and are present early in the disease, even at the preclinical stage. Although it is difficult to assess motor function in this population, it is critical for monitoring disease progression and determining the efficacy of therapeutic interventions. However, the best measurement tools for assessing motor function in dementia patients have yet to be determined.Objective: We aimed to summarize and critically evaluate the measurement tools used to assess motor function indementia.Methods: A systematic review was conducted using the databases CENTRAL, MEDLINE, Embase, and PEDro from their inception to June 2021 to identify all experimental studies conducted in patients with dementia and that included an assessment of motor function. Two reviewers independently screened citations, extracted data, and assessed clinimetric properties.Results: We included 200 studies that assess motor function in dementia patients. Motor function was assessed using a total of 84 different measurement tools. Only nine (12%) were used in over ten studies. The Timed-Up-and-Go test, 6MWT, Berg Balance Scale, and the Short Physical Performance Battery are all suggested.Conclusion: Currently, a wide variety of measurement instruments are used to assess motor performance in people with dementia, most instruments were not designed for this population and have not been validated for this use. We propose the development of an assessment protocol tailored to the different disease stages. We also recommend that future research continues to develop technological devices that can assist with this task. [ABSTRACT FROM AUTHOR]

Mechanical and Electrical (M&E) services account for 10-70% of the total cost of projects, depending on the project type. Sadly, the complex nature of the design of M&E services among other peculiar attributes has led to an enormous challenge in the cost management of M&E services in the construction industry. This study examined the knowledge areas required to effectively cost-manage M&E services in construction projects. Data for the study were collected by administering copies of a carefully designed questionnaire among experts in M&E services after a pilot study with a team of experts. The variables outlined in the questionnaire were extracted from relevant literature. In selecting the M&E services experts that participated in the survey, purposive and snowballing sampling techniques were used. The professionals involved include electrical, mechanical engineers, and quantity surveyors. Data analysis was done using mean item score, gap analysis, Spearman rank correlation, and Kendall coefficient of concordance. Findings revealed that knowledge in Bill of Quantities (BOQ) preparation, valuation, measurement of M&E works, estimating, and quality management were ranked as the most important knowledge areas and a statistically significant agreement among the experts was recorded. Gap analysis revealed that the ability of cost managers/QSs in the knowledge areas is currently below expectation while a moderate relationship was observed between the importance and performance of QSs/cost managers in the knowledge areas. The study concludes that there is a need for cost managers/quantity surveyors to enhance their knowledge in the identified knowledge areas and strive hard to close the gap between importance and performance in the knowledge areas. [ABSTRACT FROM AUTHOR]

A recent experiment on 12C + 24Mg sub-barrier fusion was performed. Standard coupled-channels calculations clearly over-estimated the low energy cross sections and there was indication of a maximum of the astrophysical S factor vs energy. In the present work further measurements have been performed on the same system, and we extended the excitation function to lower energies down to σ ≃ 4 ÎĽ b, confirming the existence of the hindrance phenomenon. Additional energy points near the barrier were added as well. In agreement with the result of previous experiment, the hindrance energy threshold is observed to correspond to a remarkably large cross section. The present new data allow to better define the S -factor maximum, that is well fitted using two parametrizations of either the hindrance or the adiabatic model. We also performed coupled-channels calculations using a Woodsâ€"Saxon potential. Far below the barrier we observe that the coupling strengths decrease and tend to vanish, indeed one-dimensional tunnelling calculations well reproduce the excitation function. Further precise cross section measurements at slightly lower energies are needed to discriminate between the adiabatic and hindrance models. This would give a reliable guidance for the extrapolation to the systems of astrophysical interest, like 12C + 12C and 16O + 16O. [ABSTRACT FROM AUTHOR]

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Cyber mimic defense is designed to ensure endogenous security, effectively countering unknown vulnerabilities and backdoors, thereby addressing a significant challenge in cyberspace. However, the immense scale of real-world networks and their intricate topology pose challenges for measuring the efficacy of cyber mimic defense. To capture and quantify defense performance within specific segments of these expansive networks, we embrace a partitioning approach that subdivides large networks into smaller regions. Metrics are then established within an objective space constructed on these smaller regions. This approach enables the establishment of several fine-grained metrics that offer a more nuanced measurement of cyber mimic defense deployed in complex networks. For example, the common-mode index is introduced to highlight shared vulnerabilities among diverse nodes, the transfer probability computes the likelihood of risk propagation among nodes, and the failure risk assesses the likelihood of cyber mimic defense technology failure within individual nodes or entire communities. Furthermore, we provide proof of the convergence of the transfer probability. A multitude of simulations are conducted to validate the reliability and applicability of the proposed metrics.

Background: Systematic reviews demonstrated that gait variables are the most reliable predictors of future falls, yet are rarely included in fall screening tools. Thus, most tools have higher specificity than sensitivity, hence may be misleading/detrimental to care. Therefore, this study aimed to determine the validity, and reliability of the velocity field diagram (VFD -a gait analytical tool), and the Timed-up-and-go test (TUG)-commonly used in Nigeria as fall screening tools, compared to a gold standard (known fallers) among community-dwelling older adults.Method: This is a cross-sectional observational study of 500 older adults (280 fallers and 220 non-fallers), recruited by convenience sampling technique at community health fora on fall prevention. Participants completed a 7-m distance with the number of steps and time it took determined and used to compute the stride length, stride frequency, and velocity, which regression lines formed the VFD. TUG test was simultaneously conducted to discriminate fallers from non-fallers. The cut-off points for falls were: TUG times ≥ 13.5 s; VFD's intersection point of the stride frequency, and velocity regression lines (E1) ≥ 3.5velots. The receiver operating characteristic (ROC) area under the curves (AUC) was used to explore the ability of the E1 ≥ 3.5velots to discriminate between fallers and non-fallers. The VFD's and TUG's sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were determined. Alpha was set at p < 0.05.Results: The VFD versus TUG sensitivity, specificity, PPV and NPV were 71%, 27%, 55%, and 42%, versus 39%, 59%, 55%, and 43%, respectively. The ROC's AUC were 0.74(95%CI:0.597,0.882, p = 0.001) for the VFD. The optimal categorizations for discrimination between fallers/non-fallers were ≥ 3.78 versus ≤ 3.78 for VFD (fallers versus non-fallers prevalence is 60.71% versus 95.45%, respectively), with a classification accuracy or prediction rate of 0.76 unlike TUG with AUC = 0.53 (95% CI:0.353,0.700, p = 0.762), and a classification accuracy of 0.68, and optimal characterization of ≥ 12.81 s versus ≤ 12.81 (fallers and non-fallers prevalence = 92.86% versus 36.36%, respectively).Conclusion: The VFD demonstrated a fair discriminatory power and greater reliability in identifying fallers than the TUG, and therefore, could replace the TUG as a primary tool in screening those at risk of falls. [ABSTRACT FROM AUTHOR]

The current paper focuses on the research of Dr. R. Gohar and in particular on his impacting ball and pressure spike measurement work. Its scope then expands to discuss contributions from other researchers concerning these two fields. The authors combined the two themes in a numerical study of an impacting contact. This study shows the detailed position of the pressure spike as a function of time. Then, the pressure spike position velocity is derived, and it is demonstrated that this velocity varies with time. As such, the paper concludes that the pressure spike shape itself must vary with time. [ABSTRACT FROM AUTHOR]