Effect Of Different Settings Research Articles

Band selection for mapping chromophores of skin tissue.

A numerical approach has been proposed to identify bands for optimally estimating the concentration of three types of viable chromophores within biological tissue. The bands are determined according to the condition number of absorption matrix associated with the attenuation coefficients of chromophores. The effectiveness of different sets of selected band combination was verified by using the spectral reflectance images of skin tissue acquired from standard forearm vascular occlusion tests via a spectroradiometer. Experimental results demonstrated that the concentration of chromophores within skin tissue could be estimated correctly and robustly only when the bands were deliberately selected.

Why is manufacturing not more sustainable? The effects of different sustainability practices on sustainability outcomes and competitive advantage

Over the last decades, there has been growing worldwide concern for the notable contribution of manufacturing activities to environmental damages. In this context, there is an open debate regarding the incentives of companies to move from mere compliance strategies towards voluntary adoption of environmental responsibility strategies, simultaneously considering economic, environmental and social objectives. This paper aims to analyse the effect of different sets of sustainability practices on sustainability outcomes and the competitive advantage of manufacturing firms. The study distinguishes between internal, external monitoring and external collaborative sustainability practices and considers their effect on regulatory, environmental and manufacturing sustainability outcomes in order to identify their contribution to the competitive advantage of firms. Drawing on natural resource-based view theory, social exchange theory and transaction cost theory, and recent evidence in the field, the study tests several hypotheses using data from the fourth round of the High-Performance Management (HPM) project. Through structural equation modelling with partial least square methodology (PLS-SEM), this study shows the existence of differential effects of sustainability practices on sustainability outcomes and competitive advantage using a sample of 263 manufacturing plants located in 15 countries from three industry sectors. The findings of this study indicate that there are many reasons to be more sustainable. The adoption and effective implementation of both internal sustainability practices and external collaborative approaches boost sustainability outcomes. Manufacturing sustainability outcomes contribute the most to competitive advantage of manufacturing companies compared with regulatory or environmental ones. For practitioners, this study highlights the challenge of well-implemented internal sustainability practices that give support for effective collaborations, both determinants to achieve operational performance and competitive advantage. For the academia, this study shows that the interplay of different theories helps to understand the differential effects of sustainability in manufacturing.

In the aftertimes, breathe: Rhetorical technologies of suffocation and an abolitionist praxis of (breathing in) relation

ABSTRACT This essay advances racial respiratory philosophy and calls for an abolitionist rhetorical studies as a response to Ersula Ore and my call for “cultivating otherwise worlds and breathable futures” in the Aftertimes. I draw from respiratory philosophy and communication and transdisciplinary scholarship on the constitutive nature of white violence, cruelty, and antiblackness, their relation to breathing/suffocation, and how the university is implicated therein. I then offer a cross-institutional analysis of the state’s dismissive, violent response to Eric Garner’s cry of “I can’t breathe” and the social atmospheres of antiblackness that saturate the university. I read these institutions through a racial respiratory lens to demonstrate how what I call technologies of suffocation work through similar logics and parallel effects in different settings to loot Black breath and sustain white supremacy. Following this analysis, I discuss abolition as a productive force of societal transformation that also demands an embodied, world-breaking/making praxis grounded in an ethical, affective, and collective reorientation around the living and breathing relations at the core of the modern world, a thorough ontic-epistemic dismantling that could create space-times for imagining a new society and new forms of relationality. I conclude by thinking toward abolitionist futures, radical humanism, and disciplinary transformation.

A framework for dynamic modeling of legged modular miniature robots with soft backbones

In this work, the dynamics of ”n” legged modular miniature robots with a soft body is modeled. The dynamic formulation is obtained using Newton–Euler formulation that depends on the contact parameters and the feet closed-chain kinematic analysis. The dynamic model determines the locomotion parameters of each module as an individual system as well as the dynamics of the whole robot in a 3D space; i.e., the robot is modeled as one system, and modules are considered to be sets of flexible links connected within this system. Kinematic constraints among these modules are obtained by considering the type of backbone integrated into the modular robot. Various types of backbones are used that are classified into three groups: rigid, only torsional, and soft. The model is verified using SMoLBot, an origami-inspired miniature robot made of multiple modules and soft/rigid backbones. Additional to the dynamic model, the effect of different sets of design parameters on the locomotion of the legged soft-bodied modular miniature robots is studied. Analyses comparing the velocity of SMoLBot with a different number of modules and various types of backbones are presented using the proposed dynamic model. Our results show the existence of an optimum backbone torsional stiffness for legged miniature modular robots and an optimum number of legs for a given backbone stiffness that maximizes the robot’s velocity. In this research, presented results and locomotion study show that the robot’s design should be iteratively improved based on specific optimum goals for exclusively defined task to satisfy the operational needs.

Peak Speeds of Professional Football Players During Bouts of Non-curved, Manual Treadmill Sprints

Purpose: Speed training and short distance sprints have become an essential component of preparation for professional football players. Current trends in speed training have included the application of non-curved, manual treadmills, as they may enhance peak speeds with less biomechanical stress. A lack of data currently exists in regards to the effectiveness of different settings and peak speed response. Therefore, we proposed to compare peak speeds during different settings of non-curved, manual treadmills. It was hypothesized that as resistance/incline increased, peak sprinting speeds would decrease and vice versa. Methods: Fourteen male professional football players (27.14 ± 3.11 yrs., 183.93 ± 8.52 cm, 100.36 ± 15.60 kg) sprinted at peak speeds during four different incline/resistance bouts. Paired samples T-tests examined differences between bouts, and significance was set at p ≤ 0.008. Results: A significant difference (p < 0.001) existed for peak speeds between each incline/resistance bout (i.e. INC15R8, INC15R5, INC20R3, INC20R1). Conclusions: The observed data differences existed between all bouts, indicating that as resistance and/or incline increased, peak speed decreased. This also indicated that as resistance and/or incline decreased, peak speed increased during sprint bouts in professional football players.

An intelligent feature selection approach based on moth flame optimization for medical diagnosis

In this work, an enhanced moth flame optimization (MFO) algorithm is proposed as a search strategy within a wrapper feature selection (FS) framework. It aims mainly to improve the classification tasks in medical applications. FS is an NP-hard problem because the run time of its procedure grows exponentially. The persistent necessity for a powerful FS system and the promising results of swarming behavior in various optimization scenarios motivated our attempts to develop a new FS approach. This paper uses a recently developed methodology inspired by the moth movement style in searching for a near-optimal feature subset for reliable disease diagnosis. The proposed modification strategy is based on two stages of enhancement. In the first stage, eight binary variants are produced using eight transfer functions. In the second stage, the Levy flight operator is integrated into the structure of MFO in combination with transfer functions. The main target is to increase the diversity of the algorithm and support the exploration of the search space. Twenty-three medical data sets downloaded from UCI, Keel, Kaggle data repositories are used to validate the proposed approaches. It has been demonstrated that the proposed approach significantly outperforms other well-known wrapper approaches across 83% of data sets. Furthermore, the proposed approach outperforms other methods in the literature across 75% of the data sets. The comparisons with filter-based approach reveal superior performance across 70% of the data sets. This work also conducts an extensive investigation of the parameters and studies the effects of different settings on the performance of the FS process. The empirical results and various comparisons reveal a remarkable effect of the Levy flight operator and transfer functions on the performance of MFO. This can be achieved through improving the diversity, achieving a greater exploration/exploitation trade-off, and enhancing the convergence trends of the optimizer.

Experimental Study of Disc Fertilizer Spreader Performance

We report the experimental results of tests aimed at assessing the effects of different settings on the mean radius of mineral fertilizer distribution using a disc fertilizer spreader. Our aim was to improve the performance of fertilizer distribution in sustainable agriculture. Three types of mineral fertilizers with different physical characteristics, commonly used in agriculture, were considered: urea, calcium ammonium nitrate and ammonium sulfate. A complete randomization method based on a four-factor experimental model was used to study the influence of the functional and operational parameters on the mean radius of fertilizer spread. Fixed model analysis of variance showed that fertilizer type, vane configuration and disc angular velocity explained 91.74% of the variance of the spread mean radius, while linear multiple regression analysis highlighted that the fertilizer dust fraction and disc angular velocity had an overall effect of 82.72%, the former showing an inverse correlation as high as 72.77%.

EHR application portfolio and hospital performance: Effects across hospitals with varying administrative scale and clinical complexity

Electronic Health Record (EHR) has the potential to transform the work required to create and deliver healthcare services. This has triggered large-scale adoption across hospitals. However, whether all hospitals obtain a similar effect from their EHR implementations remains an important question because there are significant differences differences in characteristics of hospitals adopting these systems. To examine differences in effects across hospitals, we examine whether the impacts of EHR applications are contingent on work domains, by assessing performance effects across hospitals with varying administrative scale and clinical complexity. Because EHRs constitute a suite of applications with different functionalities, examining the effects of different sets of applications is challenging due to nonlinear interdependencies between applications. Therefore, we use an archetype approach, identifying synergistic EHR (EHRSYN) archetype as an ideal portfolio—a conceptual anchor for a hospital’s EHR portfolio. We test contingencies by combining this technology archetype with the work domains—administrative scale and clinical complexity. We test our hypotheses using empirical data from 137 hospitals in California, hypothesizing the differences in effects of EHRs on financial, operational, and clinical performances across hospitals with different administrative scales (size) and clinical complexities (case-mix) of work. While hospitals gain the most by implementing a portfolio close to the EHRSYN archetype, our nuanced models reveal that the benefits of such portfolios increase for large hospitals and are greater for hospitals treating less complex cases. These findings underscore how variations in applications used and work domains demarcate boundaries related to the performance effects of EHRs. We present a detailed discussion of the theoretical contributions and practical implications of our findings.

Using Transportability to Understand Differences in Mediation Mechanisms Across Trial Sites of a Housing Voucher Experiment.

Randomized trials may have different effects in different settings. Moving to Opportunity (MTO), a housing experiment, is one such example. Previously, we examined the extent to which MTO's overall effects on adolescent substance use and mental health outcomes were transportable across the sites to disentangle the contributions of differences in population composition versus differences in contextual factors to site differences. However, to further understand reasons for different site effects, it may be beneficial to examine mediation mechanisms and the degree to which they too are transportable across sites. We used longitudinal data from MTO youth. We examined mediators summarizing aspects of the school environment over the 10-15 year follow-up. Outcomes of past-year substance use, mental health, and risk behavior were assessed at the final timepoint when participants were 10-20 years old. We used doubly robust and efficient substitution estimators to estimate (1) indirect effects by MTO site and (2) transported indirect effects from one site to another. Differences in indirect effect estimates were most pronounced between Chicago and Los Angeles. Using transport estimators to account for differences in baseline covariates, likelihood of using the voucher to move, and mediator distributions partially to fully accounted for site differences in indirect effect estimates in 10 of the 12 pathways examined. Using transport estimators can provide an evidence-based approach for understanding the extent to which differences in compositional factors contribute to differences in indirect effect estimates across sites, and ultimately, to understanding why interventions may have different effects when applied to new populations.

Two-Photon-Induced Fluorescence Study of Rhodamine-6G Dye in Different Sets of Binary Solvents.

This study deals with the effects of different sets of binary solvents on the Two-Photon Induced Fluorescence (TPIF), a non-linear process, of the Rhodamine-6G (Rh6G) dye, which is a well-known xanthene dye. This work examines the importance of inter-molecular interactions, which results in the modulation of the TPIF of the Rh6G. In this work, we have investigated three binary solvent mixtures representing varying polarity and intermolecular interactions. Specific solvent mixtures used are methanol-water, methanol-dimethyl formamide, and methanol-chloroform. Since the solvent polarity across these binary solvents differs, there are significant intermolecular interactions in the binary mixture solvents, which modulate the two-photon process of Rh6G when irradiated with high-intensity laser light at 780nm. In our studies, we find that Rh6G in the MeOH-H2O binary solvent has maximum red-shift and minimum intensity as compared to other pairs of binary liquids when the volume fraction of methanol decreases due to more extensive hydrogen bonding between the two components. Additionally, at 1:1 ratio of binary mixtures, Rh6G is found to have the highest TPEACS value for methanol-chloroform binary solvent and reason for that is related to the formation of weak H-bond networks between proton donor chloroform and proton acceptor methanol.

Effects of different variable sets on the potential distribution of fish species in the Amazon Basin

AbstractEstimating species’ potential distribution is one of the main objectives of macroecology, especially when sampling biases can affect knowledge on how environmental variables affect species distribution. Ecological niche models estimate species’ environmental niches from different variables and their occurrences. Using the presence‐only data from eight Amazonian fish species, which inhabit rivers and streams, we aimed to (a) explore the effect of different sets variables on the spatial distributions of target species and (b) evaluate the predictive responses of MaxEnt to sets of variables with different degrees of complexity. MaxEnt has high flexibility in relation to the input data and its performance is influenced by a moderate number of adjustable parameters, allowing for high precision results when balancing underestimation and overestimation errors. We used environmental predictors in MaxEnt the principal components of climatic, topographic and edaphic variables as inputs. The combination of topographic and edaphic variables produced more precise and spatially restricted distribution ranges for all species when compared to those generated with climatic variables. All models reached high AUC values, especially for stream species. Modelled range sizes were broader for the river species, suggesting different tolerance thresholds and habitat preferences when compared to stream species. The complexity of the different variables sets did not affect MaxEnt's prediction capacity. However, for stream species, MaxEnt showed a greater predictive power. This work increases the knowledge with regards to the influence of different environmental predictors on the spatial patterns of the distribution of Amazonian fish.

Forward elastic scattering: dynamical gluon mass and semihard interactions

The role of low-x parton dynamics in dictating the high-energy behavior of forward scattering observables at LHC energies is investigated using a QCD-based model with even-under-crossing amplitude dominance at high-energies. We explore the effects of different sets of pre- and post-LHC fine-tuned parton distributions on the forward quantities sigma _{tot} and rho , from pp and {bar{p}}p scattering in the interval 10 GeV–13 TeV. We also investigate the role of the leading soft contribution, the low-energy cuttoff, and the energy dependence of the semihard form factor on these observables. We show that in all cases investigated the highly restrictive data on rho parameter at sqrt{s}=13 TeV indicate that a crossing-odd component may play a crucial role in forward elastic scattering at the highest energies, namely the Odderon contribution.

A system dynamics model to quantify the impacts of restoration measures on the water-energy-food nexus in the Urmia lake Basin, Iran

Water scarcity exacerbated by growing demand in different sectors has created environmental, social, and economic challenges in the Urmia Lake Basin, Iran. Tackling this problem requires an integrated approach considering the basin as an interconnected system where a change in one sector affects others. Here, a System Dynamics Model is developed to simulate the water-energy-food nexus in the Urmia Lake Basin as a holistic multi-sectoral system and to assess the impacts of proposed lake restoration measures, especially looking for trade-offs. Besides considering climate change impacts, the effect of different sets of measures including increasing irrigation efficiency, increasing return flows, inter-basin water transfers, crop land retirement, and reviving a portion of the lake on the natural resources and socio-economic state of the basin are analysed. Results show that Urmia Lake level is sensitive to climate change scenarios. A holistic restoration approach could be effective in increasing the lake level to the proposed ecological level by 2040. However, in doing so, electricity demand in the agricultural sector could grow significantly. It is shown that a 20% retirement of irrigated wheat lands to curb water demand, if coupled with a 20% increase in yield on 80% and 50% of irrigated and rain-fed fields respectively, will not reduce wheat production in the basin. The effectiveness of water demand management measures is highly dependent on continuous monitoring and enforcement, particularly in restricting growth in agricultural water consumption. This study considered all nexus sectors in a holistic way to assess the total impact of proposed measures which on paper look positive, but may have unexpected consequences such as increasing energy demand for electric pumps. In dialogue with Urmia Lake restoration practitioners, this work can feed in to inform effective decisions for the restoration of Urmia Lake.

A Hybrid Modeling of the Physics-Driven Evolution of Material Addition and Track Generation in Laser Powder Directed Energy Deposition.

Directed Energy Deposition (DED) is one of the most promising additive manufacturing technologies for the production of large metal components and because of the possibility it offers of adding material to an existing part. Nevertheless, DED is considered premature for industrial production, because the identification of the process parameters may be a very complex task. An original hybrid analytic-numerical model, related to the physics of laser powder DED, is presented in this work in order to evaluate easily and quickly the effects of different sets of process parameters on track deposition outcomes. In the proposed model, the volume of the deposited material is modeled as a function of process parameters using a synergistic interaction between regression-based analytic models and a novel element activation strategy. The model is implemented in a Finite Element (FE) software, and the forecasting capability is assessed by comparing the numerical results with experimental data from the literature. The predicted results show a reasonable correlation with the experimental dimensions of the melt pool and demonstrate that the proposed model may be used for prediction purposes, if a specific set of process parameters that guarantees adequate adhesion of the deposited track to the substrate is introduced.

Human Papillomavirus Genome based Detection and Typing: A Holistic Molecular Approach.

Human Papillomavirus (HPV) is a species specific double-stranded DNA virus infecting human cutaneous or mucosal tissues. The genome structure of HPV is extremely polymorphic hence making it difficult to discriminate between them. HPV exhibits numerous dissimilar types that can be subdivided into high-risk (HR), probably high-risk and low-risk (LR), causing numerous types of cancers and warts around the genital organs in humans. Several screening methods are performed in order to detect cytological abnormalities and presence or absence of HPV genome. Currently available commercial kits and methods are designed to detect only a few HR/LR-HPV types, which are expensive adding to the economic burden of the affected individual and are not freely available. These gaps could be minimized through Polymerase Chain reaction (PCR) method, which is a gold standard and a cost-effective technique for the detection of most HPV (both known and unknown) types by using specific consensus primers in minimal lab setup. In this context, numerous studies have validated the effectiveness of different sets of consensus primers in the screening of HPVs. Numerous consensus primers, such as E6, E6/E7, GP-E6/E7, MY09/11, GP5+/GP6+, SPF10, and PGMY09/11 have been developed to detect the presence of HPV DNA. In addition, HPV detection sensitivity could be achieved through consensus primer sets targeting specific ORF regions like L1 and E6, which may finally assist in better diagnosis of several unknown HR-HPVs. The present review, provides a summary of the available methods, kits and consensus primer sets for HPV genome based detection, their advantages and limitations along with future goals to be set for HPV detection.

Experimental development of apparatus to measure piston assembly friction in an eco-mileage vehicle engine

Apparatus was developed to measure piston assembly friction with a floating cylinder liner against crank angle, using components of an eco-mileage vehicle engine as much as possible. This apparatus was then used to investigate the effect of different sets of piston rings on piston assembly friction in an eco-mileage vehicle engine. Results indicated that, compared to the piston with all three rings (a top ring, a second ring and an oil ring), the piston with two rings (a top ring and an oil ring) reduced piston assembly friction at all engine temperatures and engine speeds. Another configuration of two rings, with the top ring and the second ring, but without the oil ring, reduced friction at a lower engine temperature and speed, but was almost the same as the three-ring set at a higher engine temperature and speed. Finally, a one-ring set, with only the top ring, further reduced friction, except at a higher temperature and speed, where friction was greater than the two-ring set without the second ring.

ONYA—The Wellbeing Game: How to Use Gamification to Promote Wellbeing

The Wellbeing Game uses game design elements to promote wellbeing. Players document their daily activities in the game and categorize them to one or more of five wellbeing-related factors. The users join teams and can create team events to work together and improve their wellbeing status. The present study aims to review the application and the theoretical base of ‘The Wellbeing Game’, to adapt it to the German context, and to evaluate its health effects in different settings. Additional aims are to analyze the current state of research regarding the links between health, wellbeing, and gamification and to identify crucial game design elements that have to be implemented in the application in order to address the needs of competence, autonomy, and social relatedness according to the self-determination theory.

The financial crisis as a wake-up call: corporate governance and bank performance in an emerging economy

Purpose This paper aims to investigate the effects of different sets of corporate governance (CG) practices on bank performance before, during and after the financial crisis. The study proposes some policy measures for improved CG practices to protect banks from the detrimental effects of future financial crises and economic meltdowns in the context of emerging markets such as Kazakhstan. Design/methodology/approach The study analyses data from all commercial banks listed in Kazakhstan Stock Exchange for the pre-economic crisis, during the crisis and after the economic crisis periods. The study uses the panel regression model to control unobserved time-constant heterogeneity. Findings The study found that better CG practices led to better operating performance of the banks after the financial crisis periods. The changes in CG codes, board structures, disclosure requirements and board members’ competencies over time had a significant influence on CG practices and subsequently improved operating performance of the banks. Originality/value This is one of the first studies to examine the effects of CG practices on bank performance in central Asian transition economies, which are still heavily influenced by Soviet heritage and legacy.

Effects of different settings for 940 nm diode laser on expanded suture in rats.

To evaluate the effects of the Indium Gallium Arsenide Phosphoride (InGaAsP) diode laser at different energy levels on orthopedically expanded midpalatal sutures of rats. Eighty Wistar rats were randomly divided into four groups: a control group and low-, moderate-, and high-level laser groups with amounts of energy irradiated at 0 J, 18 J, 42 J, and 60 J, respectively. Each group was divided into two subgroups (n = 10) according to the schedule of sacrifice (7 and 21 days). Laser application (940 ± 10 nm, 0.1 W) was completed twice weekly until sacrifice. The number of osteoblasts (OB), osteocytes (OC), and vessels (V); area of connective tissue (CT); inflammation (IN); and newly formed bone (NB); as well as the ratio of newly formed bone to the total bone area (N/T) were evaluated statistically at a significance level of P < .05. For the low-level laser group, OB, NB, and N/T were significantly higher, and CT was lower, on both the 7th and 21st days. The amount of OC was significantly higher in the low-level laser group compared with the control group on the 7th day and the control and high-level laser groups on the 21st day. The IN was significantly higher for the high-level group on the 21st day compared with other groups. Both the moderate-level and high-level laser groups possessed fewer vessels than the low-level laser group on the 21st day. The InGaAsP laser at the low dosage induced a favorable effect on bone formation in the orthopedically expanded midpalatal suture of rats.

Study of Power Consumption of Timepix3 Detector

The Timepix3 readout chip—the latest member of the Medipix family of hybrid pixel detectors—brought several new functionalities in comparison with the older Timepix, i.e. a high hit-rate, a time granularity of 1.5625 ns, a data-driven readout scheme (with a per pixel dead time of approximately 475 ns), and the capability of measuring Time-over-Threshold (ToT) and Time-of-Arrival (ToA) in each pixel at the same time. However, the high power consumption of the Timepix3 in the standard setting prevents its use in applications with limited power budget. Moreover, the high power consumption poses the risk of overheating the sensor so that proper cooling is crucial. The presented work investigates the effect of different settings in the analogue and a digital part of the Timepix3 detector on its power consumption. Measurements were performed with the Timepix3 chipboard. The firmware of the Katherine readout was modified so that the user can monitor the power consumptions of analogue and digital part “on-line” (directly in the control software). In standard settings, a power consumption of approximately 1.3 W was found. By changes of internal DACs, the consumption could be reduced to 650 mW. Further reduction was achieved by the change of the clock management in the digital part of the Timepix3. In result, a power consumption of 216 mA could be achieved. In these low power settings, the ToA clock was reduced to 10 MHz and thus the time binning was 100 ns. The energy resolution was not affected significantly. The pixel dead time is also negatively affected when the matrix clock is reduced. In the case of 10 MHz, the minimal per pixel dead time is 1.9 μs.