Influence Of Characteristics Research Articles

Experiment and simulation for the effect of window opening behavior on indoor air status points in wuhan area in summer

Abstract Changes in the final air status points caused by unreasonable window opening patterns can result in wasted energy from intermittently operating air conditioning systems. To grasp the influential characteristics of indoor air state point changes, the influence of weather conditions, window opening rate, and intermittent window opening time on indoor air state points were comparatively analyzed through experimental and simulation studies. The results show that there is no significant correlation between the final indoor air state point and weather conditions under the closed window condition. Under open window conditions, the size of the outdoor humidity determines the upper limit of indoor humidity at the final moment. It is not recommended to open windows on rainy days with high humidity, and it is more appropriate to open 1/6 of windows on sunny days with high temperature and low humidity. Different window opening ratios have little effect on the change of the final air state point, with indoor temperature fluctuating within 1 °C and humidity fluctuating within 0–5% RH. The length of intermittent window opening should be controlled within 10 h. This study hopes to provide preliminary assistance for subsequent intermittent operation of air handling systems.

Donating Health Data to Research: Influential Characteristics of Individuals Engaging in Self-Tracking.

Health self-tracking is an ongoing trend as software and hardware evolve, making the collection of personal data not only fun for users but also increasingly interesting for public health research. In a quantitative approach we studied German health self-trackers (N = 919) for differences in their data disclosure behavior by comparing data showing and sharing behavior among peers and their willingness to donate data to research. In addition, we examined user characteristics that may positively influence willingness to make the self-tracked data available to research and propose a framework for structuring research related to self-measurement. Results show that users’ willingness to disclose data as a “donation” more than doubled compared to their “sharing” behavior (willingness to donate = 4.5/10; sharing frequency = 2.09/10). Younger men (up to 34 years), who record their vital signs daily, are less concerned about privacy, regularly donate money, and share their data with third parties because they want to receive feedback, are most likely to donate data to research and are thus a promising target audience for health data donation appeals. The paper adds to qualitative accounts of self-tracking but also engages with discussions around data sharing and privacy.

Analysis of several factors influencing the effect of induction magnetic levitation

PurposeThe purpose of this paper is to analyze the characteristics of the factors influencing the effect of magnetic levitation, including the impedance angle of the levitated coil, number of turns, material parameter, frequency of excitation and geometric parameters. The final purpose is to provide approaches to increasing the levitation effect.Design/methodology/approachSome design principles and strategies for levitation systems are suggested, such as selecting the number of turns of the levitated coil, choosing the frequency of excitation considering the saturation phenomenon of levitation force against frequency and deciding the section area of the excitation coil and its ratio of height and thickness.FindingsThe magnetic force is not always repulsive in a cycle. Therefore, the key approach to increasing the levitation is to increase the period when the force is repulsive and decrease the time when attractive. The impedance angle of the equivalent circuit of the levitated coil determines the ratio of the two periods, and the larger the angle, the longer the repulsion period. A valuable finding is that a saturation situation exists between the levitation force and frequency; that is, when the frequency increases to a certain value, the increasing degree of force tends to decrease as the frequency increases.Originality/valueSome influential characteristics were found in some factors against the effect of the levitation system, which is beneficial for improving the efficiency of systems. For example, owing to the saturation phenomenon of the frequency, it is useless to continue increasing the frequency and the copper-levitated coil does not bring much greater force effectiveness than the aluminum coil.

Local people's “sense of place” toward cultural heritage sites: correlation with demographic and socio-economic characteristics

PurposeThe paper aims at identifying the underlying factors that differentiate the local people's demographic and socio-economic characteristics, which influence their sense of place (SoP) toward different types of cultural heritage sites in different urban regions.Design/methodology/approachThe paper draws on the sequential explanatory design, using quantitative and qualitative methods, respectively, to investigate the research themes in-depth. A total of 201, 207 and 228 questionnaires were collected on religious, non-religious/memorial and historic commercial buildings, respectively, at two different quarters in Historic Cairo, followed by 20 semi-structured interviews with a representative sample of local people in each quarter.FindingsThe authors found an apparent similarity in the significant characteristics that influence the local people's SoP levels toward the different historic buildings at the same quarter and a notable variation between both quarters. Also, many factors determine the local people's influential characteristics on their SoP toward the different cultural heritage sites (e.g. the sites’ distance from the person's residence/workplace, economic value, people's awareness about its history, type of activities and targeted gender, feeling of stability and regions' characteristics)Practical implicationsIdentifying these underlying factors and priority local groups can assist policymakers in ensuring a sustainable management/conservation of the different cultural heritage sites.Originality/valueThe paper demonstrates the causality of a significant correlation between local people's characteristics and their SoP levels toward the different types of historic buildings, apart from their religious symbolism or historical value, using the sequential explanatory design.

Impacts of Learning Orientation on the Modeling of Programming Using Feature Selection and XGBOOST: A Gender-Focused Analysis

In programming, modeling is a generalized explanatory system that organizes key characteristics of a specific matter or object of interest using computer science concepts. Modeling is integral for both automation design in programming education and communication in the collaborative process. This study investigates the effect of learning orientation on the modeling stage based on gender. The study includes 756 male and 688 female elementary-school students. We analyzed the results of XGBOOST by extracting the influential characteristics from feature selection along with the basic statistics. As a result of the study, it was confirmed that learners, regardless of gender, had the largest gap in modeling and that this was the stage at which differences occurred in programming education. For male students, the process of collecting data for modeling or devising a solution was found to be an important learning method. This shows that it is necessary to create an environment to focus on activities that derive solutions from the collected data along with strengthening information retrieval education. Although female students showed a similar tendency to male students, the process of cooperating with friends as a differentiating factor was found to be an important learning method. It seems necessary to apply teaching and learning methods that can strengthen team projects that can collaborate with friends. The findings could serve as a reference for teaching and learning design and operation for effective programming education.

Violent Media in Childhood and Seriously Violent Behavior in Adolescence and Young Adulthood

PurposeTo quantify the relative odds of self-reported seriously violent behavior in adolescence and young adulthood given one’s self-reported violent media diet in childhood. MethodsBaseline data were collected nationally online from 1,586 youth 10–15 years of age in 2006. Follow-up data were collected in 2010–2011 and 2016. Children reported the amount of music, video games, television, websites with real people, and cartoons that depicted “physical fighting, hurting, shooting, or killing.” Seriously violent behavior was assessed 5 and 10 years later. Results887 adolescents completed the survey at baseline and 5-year follow-up. The relative odds of reporting seriously violent behavior over time were 2.45-fold higher (p < .001) with each incremental increase in one’s baseline violent media diet. After adjusting for other potentially influential characteristics, results persisted (aOR = 1.70, p = .01). The relative odds also were elevated for those frequently exposed to violence in music (aOR = 3.28, p = .03), television (aOR = 3.51, p < .001), and video games (aOR = 3.27, p = .02). 760 young adults completed measures at baseline and 10-year follow-up. The relative odds of seriously violent behavior increased 2.18-fold (p = .001) with each incremental increase in one’s baseline violent media diet. After adjusting for other factors, the association persisted (aOR = 1.72, p = .03). Frequent exposure to violence in video games (aOR = 3.28, p = .03) and television (aOR = 3.14, p = .02) also were implicated. DiscussionExposure to violent media in childhood may be one modifiable influence on seriously violent behavior in adolescence and adulthood, even for those who have other risk factors.

The effects of nest location and beach environment on hatching success for leatherback (Dermochelys coriacea) and green (Chelonia mydas) sea turtles on Bioko Island, Equatorial Guinea

Hatching success of sea turtle eggs can be reduced by a variety of biotic and abiotic factors. This study of the nesting ecology of leatherback (Dermochelys coriacea) and green (Chelonia mydas) sea turtles, investigated how several environmental factors and beach characteristics on Bioko Island, Equatorial Guinea influence sea turtle reproductive success. Average hatching success was 40.4% for green turtles and 41.73% for leatherback turtles. For leatherback turtles, clutch elevation relative to the high tide line (HTL) was found to be the most influential factor in determining hatching success, highlighting the sensitivity of this species to sea-level rise (SLR). Multiple linear regression analysis demonstrated that nest distance to vegetation, temperature, sand grain size, location on the beach, and sand conductivity also played significant roles in leatherback clutch hatching success. For leatherback clutches, 33% percent of nests were affected by inundation and 17% by predation. An optimum clutch elevation range for leatherback turtles was identified, where a distinct increase in hatching success was observed between − 0.286 and − 0.0528 m above the HTL. For green sea turtles, 64% of experimental nests were affected by predation, confounding conclusions about the roles of environmental characteristics in green turtle hatching success. We propose further investigation into influential characteristics in green turtle nests and confirmation of the observed optimum elevation range on Bioko Island and other nesting grounds. Identified sensitivities of each species to SLR and beach characteristics will be used to encourage the government of Equatorial Guinea to consider the vulnerability of their resident turtle populations when planning for future coastal development.

Heterogeneous Trimetallic Nanoparticles as Catalysts.

The development and application of trimetallic nanoparticles continues to accelerate rapidly as a result of advances in materials design, synthetic control, and reaction characterization. Following the technological successes of multicomponent materials in automotive exhausts and photovoltaics, synergistic effects are now accessible through the careful preparation of multielement particles, presenting exciting opportunities in the field of catalysis. In this review, we explore the methods currently used in the design, synthesis, analysis, and application of trimetallic nanoparticles across both the experimental and computational realms and provide a critical perspective on the emergent field of trimetallic nanocatalysts. Trimetallic nanoparticles are typically supported on high-surface-area metal oxides for catalytic applications, synthesized via preparative conditions that are comparable to those applied for mono- and bimetallic nanoparticles. However, controlled elemental segregation and subsequent characterization remain challenging because of the heterogeneous nature of the systems. The multielement composition exhibits beneficial synergy for important oxidation, dehydrogenation, and hydrogenation reactions; in some cases, this is realized through higher selectivity, while activity improvements are also observed. However, challenges related to identifying and harnessing influential characteristics for maximum productivity remain. Computation provides support for the experimental endeavors, for example in electrocatalysis, and a clear need is identified for the marriage of simulation, with respect to both combinatorial element screening and optimal reaction design, to experiment in order to maximize productivity from this nascent field. Clear challenges remain with respect to identifying, making, and applying trimetallic catalysts efficiently, but the foundations are now visible, and the outlook is strong for this exciting chemical field.

Associations of Multimodal Analgesia With Postoperative Pain Trajectories and Morphine Consumption After Hepatic Cancer Surgery.

BackgroundThis study aimed to investigate the influential factors of postoperative pain trajectories and morphine consumption after hepatic cancer surgery with a particular interest in multimodal analgesia.MethodsPatients receiving hepatic cancer surgery at a tertiary medical center were enrolled between 2011 and 2016. Postoperative pain scores and potentially influential factors like patient characteristics and the analgesic used were collected. Latent curve analysis was conducted to investigate predictors of postoperative pain trajectories and a linear regression model was used to explore factors associated with postoperative morphine consumption.Results450 patients were collected, the daily pain scores during the first postoperative week ranged from 2.0 to 3.0 on average. Male and higher body weight were associated with more morphine consumption (both P < 0.001) but reduced morphine demand was noted in the elderly (P < 0.001) and standing acetaminophen users (P = 0.003). Longer anesthesia time was associated with higher baseline pain levels (P < 0.001). In contrast, male gender (P < 0.001) and standing non-steroidal anti-inflammatory drugs (NSAIDs) use (P = 0.012) were associated with faster pain resolution over time.ConclusionsMultimodal analgesia with standing acetaminophen and NSAIDs had benefits of opioid-sparing and faster pain resolution, respectively, to patients receiving hepatic cancer surgery.

Sustainability Reporting by State Universities in Indonesia: An Examination of Influential Characteristics

The aim of this study was to analyze the characteristics of sustainability information of higher education institutions in Indonesia. The population and research sample were all state universities in Indonesia, as many as 125. The method used was logistic regression analysis. The results showed that 29.6% of state universities in Indonesia had disclosed sustainability information and the remaining 70.4% had not disclosed sustainability information. The logistic regression results show that college size has a significant effect on sustainability information disclosure. The bigger the university, the more likely it is that the university will disclose its sustainability information. On the other hand, age and reputation did not significantly influence the disclosure of sustainability information.

Relationship between explosive strength characteristics with change of direction speed in junior and cadet karate athletes

BACKGROUND: Explosive strength and change of direction speed (CODS) are relevant physical abilities in karate. OBJECTIVE: To examine the relationship between the characteristics of explosive strength and the 5-m linear sprint (5M) with CODS performance and ii) to examine the influential characteristics of explosive strength on CODS performance. METHODS: Eighteen cadet and junior karate athletes, eight females and ten males were evaluated. The physical abilities assessments included: squat jump (SJ), countermovement jump (CMJ), 5M and CODS. Also, pre-stretch percentage increase (PSA), eccentric utilization index (EUR) reactive strength index (RSI) were calculated. RESULTS: Superior performance (p&lt; 0.05) was documented in SJ, CMJ and CODS in male vs. female. Also, significant correlations between CODS with SJ and CMJ (r=-0.70 to -0.80; R2=-0.51 to -0.73; p&lt; 0.05, respectively) and correlations (r=-0.14 to -0.22; R2= 0.01 to 0.04; p&gt; 0.05) between CODS with RSI, EUR and PSA. Multiple regression model documented that only SJ significantly influenced CODS performance in male (R2= 60%; p= 0.009) and female (R2= 71%; p= 0.001). CONCLUSION: CODS correlate with SJ and CMJ. In particular, SJ influence CODS independently of gender.

When Preferential Voting Really Matters: Explaining the Surprising Results of Parties in Electoral Coalitions

Preferential voting in a proportional list system is an essential means by which voters can significantly influence which particular politician will represent them. However, preferential voting takes on a new dimension when several parties run on the same list as a coalition. In this case, the intra-party competition may become inter-party competition, where one or more parties may gain significantly from preferential voting at the expense of their partners. Despite this, research on this topic has been significantly neglected. Using the case of the 2021 Czech general election, where two newly formed electoral coalitions (SPOLU and PIRSTAN) run, we examine the nature of preferential voting in this different context of electoral coalitions. In the first part of the analysis, when we analyzed the characteristics of all candidates of both coalitions, we first confirmed that the candidate effect commonly observed in the case of conventional candidate lists also exists in this context. At the same time, we found that the candidate effect (through the adequate distribution of influential characteristics across parties in a coalition) can also affect the inter-party competition (as was the case of the PIRSTAN coalition). In the second part of the analysis, we found that in the context of electoral coalitions, party characteristics can also have a substantial effect on preferential voting (as was the case of the SPOLU coalition). Thus, both of these categories of effects can exist in the case of coalition lists, and both can affect inter-party competition. Nevertheless, future research is needed to confirm whether these findings are generally valid or whether the Czech case is somehow deviant. Existing research on this topic does not allow for a comparison.

Learning Scenario to Promote Comprehension of the Meaning of Subtraction

The integration of virtual manipulatives in classroom practices facilitates student learning processes. For this, the teacher must understand how to support students in establishing mathematical connections between the manipulation and their interpretations of the representations. We present a learning scenario that integrates the use of virtual manipulatives in mathematical modelling tasks. It was designed and implemented during initial teacher training, with the aim of helping a group of first-year elementary school students to overcome difficulties identified in their comprehension of the meaning of subtraction. The research, following the principles of design-based research, included three distinct moments: an individual written pre-test, an intervention phase with six micro-cycles, and an individual written post-test. The analysis of the collected data—audio, screen recordings, and written productions—allowed us to identify the most influential structural characteristics of the learning scenario: mathematical communication, collaborative learning, self-regulation, and co-regulation of learning. Our results suggest that differentiated instruction, minimal guidance, and scaffolding played an important role in the support provided by the pre-service teacher to students in the mathematical modelling activities that integrated virtual manipulatives.

Supply chain risk factors in green construction of residential mega projects – interactions and categorization

PurposeGreen construction has begun implementing sustainable and environmentally friendly practices, but there has not yet been an assessment for green construction supply chain risks in the literature. Identification and assessment of potential risks will result in more appropriate risk mitigation strategies to overcome disruptions affecting higher performance. Thus, this study aims to identify green construction supply chain risks of residential mega-projects.Design/methodology/approachInterpretive structural modeling (ISM) provided a hierarchical model composed of seven layers that elucidated the driving influences between the elements. Matrice d’impacts croises-multiplication appliqúe an classement (MICMAC) analysis classified the elements into the driver, linkage and dependent variables based on their dependence and driving powers, providing a clearer understanding of risk factors and their influential characteristics. Using experts' knowledge and experience is compatible with the subjective nature of ‘supply chain risks’ and is more suitable while collecting pertinent quantitative data which is far more challenging.FindingsTenable output, using an international expert group, addressed key risk factors. Technical expertise and skilled labor, key customers, and corporate culture are found as elements with most driving power, and the final product and logistics coordination and supply chain configuration found as the most dependent risk factors. Managerial implications addressed the most fundamental risk sources and suggested practical proactive risk management approaches to maximize green supply chain performance.Originality/valueIdentified supply chain oriented key risk factors of the residential green mega projects add novelty to the context of green construction projects' supply chain management. And eliciting the influential relations of the key risk factors provide a bigger picture of key risks in green residential mega projects that can be extended by sub-risks related to process activities. Assessing supply chain risks' interactions in the context of green residential mega projects is a novel contribution to mega construction-project management's body of knowledge. Also, the key risk factors were categorized based on the characteristics known as driving power and dependence.

Changes to cigarette packaging influence US consumers' choices: Results of two discrete-choice experiments to inform regulation.

INTRODUCTIONWhile plain packaging of tobacco products has emerged as a policy intervention to reduce smoking, regulators in the US have limited ability to implement plain packaging. We sought to identify the impact of subtle changes to cigarette packaging (Study 1) and how packaging design influenced participant choices based on appeal, harm, and style (Study 2).METHODSWe conducted two discrete-choice experiments with US adult smokers online in 2018. In Study 1 (n=285), we assessed participants’ selections based on subtle changes to pack design features (dimensions, color saturation, logo size). In Study 2 (n=284), we assessed three choices in which participants selected packs based on appeal, harmfulness, and best match to their personal style. Study 2 packs varied by color hue, design with different levels of organic labeling and natural imagery, and color saturation.RESULTSPack designs influenced smokers’ choices. In Study 1, pack dimensions and color saturation emerged as the most important features, and, in Study 2, design and color hue were the most influential characteristics.CONCLUSIONSRegulators should consider how the design of cigarette packages may influence consumers’ perceptions and choices.

Development of a video analysis protocol and assessment of fall characteristics in equestrian cross-country eventing.

Cross-country eventing is one of the highest-risk sporting activities for serious injury outcomes. This study investigated relationships between fall characteristics and high-risk falls at jumps in cross-country eventing. A video analysis protocol was systematically developed to analyze 87 video recordings of high-risk rider falls; defined as when the rider's head impacted the ground and/or where there was potential horse impact with the rider. Falls were classified according to competition type, jump type, horse-related, and rider-related factors. At least one high-risk fall characteristic was observed in 45 of 87 examined falls. Multivariable best subsets regression identified five independent variables explaining 38.4% of the variance in the number of high-risk falls. Increased likelihood of high-risk falls was associated with continuation of horse direction or speed upon rider ground impact, higher jump approach speed, changes in rider body posture upon landing, rider air jacket usage, and reduced rider fall time. The Eventing Fall Assessment Instrument (EFAI) video analysis protocol (attached as supplementary material) facilitated systematic examination of multiple characteristics associated with high-risk falls and identified likely influential characteristics. Based on EFAI and subsequent data analyses, findings suggest optimized approach speed for correct striding and take-off; jump design to enable run-out; and rider training could help reduce the occurrence of high-risk falls. Air jacket usage and their design characteristics warrant further investigation.

Development and Characterization of Fenugreek Protein-Based Edible Film.

The present investigation studied the physicochemical, mechanical, structural, thermal, and morphological attributes of a novel edible film formed from fenugreek protein concentrate. Films were produced at different pH—9, 10, 11, and 12—and the effect of the pH on the films was studied. As the pH increased, tensile strength increased while water vapor absorption decreased, which is interrelated to the surface morphological properties; as the pH increased, the surface became smoother and compact without any cavities. The films produced were darker in color. Fenugreek protein films exhibited good thermal stability. Fourier transform infrared spectroscopy (FTIR) revealed the presence of strong bonding for the films made at alkaline pH. X-ray diffraction analysis (XRD) indicated the major structure of the film was amorphous. The study demonstrated that the fenugreek protein concentrate film has influential characteristics and can be used as an edible packaging film.

Effect of Coronavirus Disease 2019–Related Delays of Scheduled Operations for Patients With Chronic Limb Threatening Ischemia

The goal of the VASCC (vascular surgery COVID-19 [coronavirus disease 2019] collaborative) study was to determine the influential characteristics of a population with severe peripheral artery disease (PAD) and/or chronic limb threatening ischemia (CLTI) during the COVID-19 pandemic for whom postponement of scheduled procedures could have affected the outcomes.

Luminous efficiency of meteors derived from ablation model after assessment of its range of validity

Context.The luminous efficiency,τ, can be used to compute the pre-atmospheric masses of meteoroids from corresponding recorded meteor brightnesses. The derivation of the luminous efficiency is non-trivial and is subject to biases and model assumptions. This has led to greatly varying results in the last decades of studies.Aims.The present paper aims to investigate how a reduction in various observational biases can be achieved to derive (more) reliable values for the luminous efficiency.Methods.A total of 281 meteors observed by the Fireball Recovery and InterPlanetary Observation Network (FRIPON) are studied. The luminous efficiencies of the events are computed using an ablation-based model. The relations ofτas a function of the pre-atmospheric meteoroid velocity,ve, and mass,Me, are studied. Various aspects that could render the method less valid, cause inaccuracies, or bias the results are investigated. On this basis, the best suitable meteors were selected for luminous efficiency computations.Results.The presented analysis shows the limits of the used method. The most influential characteristics that are necessary for reliable results for theτcomputation were identified. We study the dependence ofτon the assumed meteoroid’s density,ρ, and include improvedρ-values for objects with identified meteoroid stream association. Based on the discovered individual biases and constraints we create a pre-debiased subset of 54 well-recorded events with a relative velocity change &gt;80%, a final height &lt;70 km, and a Knudsen number Kn &lt; 0.01; this last value indicates that the events were observed in the continuum-flow regime. We findτ-values in the range between 0.012% and 1.1% for this pre-debiased subset and relations ofτtoveandMeof:τ=7.33⋅ve−1.10andτ=0.28⋅Me−0.33.Conclusions.The derived luminous efficiency of meteoroids depends on the assumed material density. Our results indicate that the applied debiasing method improves the analysis ofτfrom decelerated meteoroids. The underlying method is only valid for meteors in the continuum-flow regime. These events tend to have low end heights, large masses, and high deceleration.

The Characterization of high school students in the department of Risaralda using the Chi-Square metric

The education is a fundamental law that promotes the social and economic development of a nation. Also, it is how a country can achieve its sustainable development objectives. Because of this, various international organizations (Unicef-UNESCO- Banco Mundial -OECD) are promoting the coverage of education in underdeveloped countries. On the other hand, projects such as PISA that aim to carry out annual evaluations in more than 30 countries that serve as a reference of the educational level and encourages nations to improve the quality of education. Therefore, the objective of this work is to implement a methodology to predict the results of ICFES tests SABER 11 °. that can correct the educational problems that Colombia has presented in secondary education. For the development of this methodology, the ICFES repository database was used. Data were pre-processed using MATLAB software. Also, combined tests were carried out with the new Chi-Square metric developed by the researchers of the automation group of the Technological University of Pereira, obtaining results that were 20% higher compared with conventional classification techniques. In this project, the most influential characteristics were found in the students, who are responsible for the loss of the ICFES SABER 11° exam in Risaralda.