• Title/Summary/Keyword: Activity Support

Search Result 2,242, Processing Time 0.032 seconds

The Impact of Supervisory Communication Apprehension on Subordinates' Job Performance: An Empirical Study in Pakistan

  • ASAD, Muhammad;ZAFAR, Mueen Aizaz;SAJJAD, Aymen
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.9 no.2
    • /
    • pp.437-448
    • /
    • 2022
  • The impact of supervisory communication apprehension (SCA) on subordinates' job performance was investigated in this study. We also examined the impact of task-related uncertainty in mediating the relationship between SCA and subordinate work performance, as well as the role of information-seeking behavior in moderating the relationship between task-related uncertainty and subordinate job performance. A sample of subordinates and their supervisors from public and private sector enterprises in Pakistan were used in the study. The concept of communication apprehension is not limited to a single organization or industry, and the conditions suggest that apprehensive supervisors are likely to exist in different organizations and industries in Pakistan, including banks, telecommunications, and development sector organizations. Company directors and leaders of human resources departments were contacted to reach out to possible respondents. SmartPLS software was used to evaluate the data using a structural equation modeling technique which is commonly used in explanatory studies (Atta et al., 2021). We found evidence to support ideas predicting the association between SCA and subordinate job performance, as well as the mediating role of task-related ambiguity in the relationship. Furthermore, the findings show that information-seeking activity has a moderating effect on the link between task-related ambiguity and subordinate job performance. This is one of the first studies to look at major mediating and moderating mechanisms in the link between SCA and subordinate job performance.

Comparative Study of Nickel and Copper Catalysts Using Al2O3 and Hydrotalcite in Methanol Steam Reforming (메탄올 수증기 개질반응에서 알루미나 및 하이드로탈사이트를 이용한 니켈 및 구리 촉매 비교 연구)

  • Lee, Jae-hyeok;Jang, Seung Soo;Ahn, Ho-Geun
    • Journal of the Korean Institute of Gas
    • /
    • v.26 no.2
    • /
    • pp.14-20
    • /
    • 2022
  • In this study, the catalytic reaction characteristics for producing hydrogen using methanol steam reforming were investigated. Nickel and copper are frequently used in steam reforming reaction and methanol synthesis, were used as main active metals. As a support, hydrotalcite has a high specific surface area, excellent porosity and thermal stability, and has weak Lewis acid sites and basic properties. Hydrotalcite was used to identify catalysts of methanol steam reforming with catalytic activity and their properties. In this research, high reactivity was shown in the catalyst of copper metal with high reducibility. And increasing of active metal loading showed the higher the methanol conversion and hydrogen selectivity.

Information & Analytical Support of Innovation Processes Management Efficience Estimations at the Regional Level

  • Omelyanenko, Vitaliy;Pidorycheva, Iryna;Voronenko, Viacheslav;Andrusiak, Nataliia;Omelianenko, Olena;Fyliuk, Halyna;Matkovskyi, Petro;Kosmidailo, Inna
    • International Journal of Computer Science & Network Security
    • /
    • v.22 no.6
    • /
    • pp.400-407
    • /
    • 2022
  • Innovations significantly affect the efficiency of the socioeconomic systems of the regions, acting as a system-forming element of their development. Modern models of economic development also consider innovation activity, intellectual potential, knowledge as the basic factors for stimulating the economic growth of the region. The purpose of the study is to develop methodological foundations for evaluating the effectiveness of a regional innovation system based on a multidimensional analysis of its effects. To further study the effectiveness of RIS, we have used one of the methods of multidimensional statistical analysis - canonical analysis. The next approach allows adding another important requirement to the methodological provision of evaluation of the level of innovation development of industries and regions, namely - the time factor, the formalization of which is realized in autoregressive dynamic economic and mathematical models and can be used in our research. Multidimensional Statistical Analysis for RIS effectiveness estimation was used to model RIS by typological regression. Based on it, multiple regression models were built in groups of regions with low and relatively high innovation potential. To solve the methodological problem of RIS research, we can also use the approach to the system as a "box" with inputs and outputs.

Experimental study on modified low liquid limit silt for abutment backfill in bridge-embankment transition section

  • Shu-jian Wang;Yong Sun;Zhen-bao Li;Kai Xiao;Wei Cui
    • Geomechanics and Engineering
    • /
    • v.32 no.6
    • /
    • pp.601-613
    • /
    • 2023
  • Low liquid limit silt, widely distributed in the middle and down reaches of Yellow River, has the disadvantages of poor grading, less clay content and poor colloidal activity. It is very easy to cause vehicle jumping at the bridge-embankment transition section when the low liquid limit silt used as the backfill at the abutment back. In this paper, a series of laboratory tests were carried out to study the physical and mechanical properties of the low liquid limit silt used as back filling. Ground granulated blast furnace slag (GGBFS) was excited by active MgO and hydrated lime to solidify silt as abutment backfill. The optimum ratio of firming agent and the compaction and mechanical properties of reinforced soil were revealed through compaction test and unconfined compressive strength (UCS) test. Scanning electron microscope (SEM) test was used to study the pore characteristics and hydration products of reinforced soil. 6% hydrated lime and alkali activated slag were used to solidify silt and fill the model of subgrade respectively. The pavement settlement regulation and soil internal stress-strain regulation of subgrade with different materials under uniformly distributed load were studied by model experiment. The effect of alkali activated slag curing agent on curing silt was verified. The research results can provide technical support for highway construction in silt area of the Yellow River alluvial plain.

ESTABLISHMENT OF DECISION MAKING FRAMEWORK FOR SUPPORTING COOPERATION AMONG STAKEHOLDERS IN MEGA PROJECT

  • Jee Hee Lee;June Seong Yi;Seung Woo Shin;Kyung Rog Park
    • International conference on construction engineering and project management
    • /
    • 2009.05a
    • /
    • pp.1288-1293
    • /
    • 2009
  • Performing 'Mega Project' in which various stakeholders are involved is difficult to control due to the respective conflicting objectives. Urban regeneration which is being challenged issue in various ways can be defined as the mega project. Since the mega project like urban regeneration a long-continued project and includes a lot of participants whose benefits conflict, cooperation among stakeholders is essential. Moreover, as the project goes, diverse decision making situations which require collaboration happen, and if proper decision making cannot be given at that time, the whole project would have critical effects. Also, since each activity concerns numerous stakeholders, prompt decision making is difficult in the mega project. Therefore, the objective of this study is to support stakeholder's cooperative decision making in order for conducting successful project. For the purpose of the paper, the concept of cooperation in mega project is redefined and a cooperative decision making framework is suggested. Also, the term of governance, which means cooperative mechanism based on the mutual trust, information sharing and partnership, is applied to the newly defined cooperation. The suggested cooperative decision making framework contains the structure of stakeholders in urban regeneration project which enables participants to understand the relationship among bodies and checklists for supporting decision making appropriately. The application of the framework proposed in this research is expected to contribute subjects' suitable decision making by providing proper information in a timely manner.

  • PDF

An Investigation of the Terahertz Absorption Characteristics of a Graphene Oxide Aqueous Solution Using Microfluidic Technology

  • Ningyi Cai;Boyan Zhang;Qinghao Meng;Siyu Qian;Bo Su;Hailin Cui;Shengbo Zhang;Cunlin Zhang
    • Current Optics and Photonics
    • /
    • v.7 no.2
    • /
    • pp.119-126
    • /
    • 2023
  • The vibratory and rotational levels of many biological macromolecules lie in the terahertz (THz) band, which means that THz techniques can be used to identify and detect them. Moreover, since the biological activity of most biomolecules only becomes apparent in aqueous solution, we use microfluidic technology to study the biological properties of these biomolecules. THz time-domain spectroscopy was used to study the THz absorption characteristics of graphene oxide (GO) aqueous solution at different concentrations and different exposure times in fixed electric or magnetic fields. The results show that the spectral characteristics of the GO solution varied with the concentration: as the concentration increased, the THz absorption decreased. The results also show that after placing the solution in an external electric field, the absorption of THz first increased and then decreased. When the solution was placed in a magnetic field, the THz absorption increased with the increase in standing time. In this paper, these results are explained based on considerations of what is occurring at the molecular scale. The results of this study provide technical support for the further study of GO and will assist with its improved application in various fields.

Development of Creative Economy Innovation and Digital Entrepreneurial Ability for Distribution Strategy by using Design Thinking

  • Siwaporn NAKUDOM;Sor sirichai NAKUDOM;Panita WANNAPIROON
    • Journal of Distribution Science
    • /
    • v.21 no.4
    • /
    • pp.11-20
    • /
    • 2023
  • Purpose: 1) develop a learning model involving design thinking to develop creative economy innovation and the characteristics of digital entrepreneurs. 2) evaluate the impact of design thinking on creative economy innovation 3) evaluate the impact of design thinking on digital entrepreneurial ability. Research design, data and methodology: 1) develop a learning model involving design thinking in order to develop creative economy innovation and the characteristics of digital entrepreneurs. 2) Evaluating creative economy innovation involving design thinking. 3) Assessing the characteristics of digital entrepreneurs based on design concepts. Results: 1) the development of a learning model involving design thinking to develop creative economy innovation and digital entrepreneurial competency 2) The students who studied using the learning model involving a design thinking process had the highest overall scores in terms of creative economy innovation 3) The scores for the assessment of digital entrepreneurial activity for the students who studied by using the design thinking learning model were at a high level. Conclusions: The development of the design thinking learning model can encourage students to be able to develop creative economy innovations and to empower digital entrepreneurs' ability for distribution strategy. Educational institutions that would like to succeed in developing creative economy innovative and digital entrepreneurship characteristics with the support of design thinking.

Automated detection of panic disorder based on multimodal physiological signals using machine learning

  • Eun Hye Jang;Kwan Woo Choi;Ah Young Kim;Han Young Yu;Hong Jin Jeon;Sangwon Byun
    • ETRI Journal
    • /
    • v.45 no.1
    • /
    • pp.105-118
    • /
    • 2023
  • We tested the feasibility of automated discrimination of patients with panic disorder (PD) from healthy controls (HCs) based on multimodal physiological responses using machine learning. Electrocardiogram (ECG), electrodermal activity (EDA), respiration (RESP), and peripheral temperature (PT) of the participants were measured during three experimental phases: rest, stress, and recovery. Eleven physiological features were extracted from each phase and used as input data. Logistic regression (LoR), k-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) algorithms were implemented with nested cross-validation. Linear regression analysis showed that ECG and PT features obtained in the stress and recovery phases were significant predictors of PD. We achieved the highest accuracy (75.61%) with MLP using all 33 features. With the exception of MLP, applying the significant predictors led to a higher accuracy than using 24 ECG features. These results suggest that combining multimodal physiological signals measured during various states of autonomic arousal has the potential to differentiate patients with PD from HCs.

Mitochondria in reproduction

  • Min-Hee Kang;Yu Jin Kim;Jae Ho Lee
    • Clinical and Experimental Reproductive Medicine
    • /
    • v.50 no.1
    • /
    • pp.1-11
    • /
    • 2023
  • In reproduction, mitochondria produce bioenergy, help to synthesize biomolecules, and support the ovaries, oogenesis, and preimplantation embryos, thereby facilitating healthy live births. However, the regulatory mechanism of mitochondria in oocytes and embryos during oogenesis and embryo development has not been clearly elucidated. The functional activity of mitochondria is crucial for determining the quality of oocytes and embryos; therefore, the underlying mechanism must be better understood. In this review, we summarize the specific role of mitochondria in reproduction in oocytes and embryos. We also briefly discuss the recovery of mitochondrial function in gametes and zygotes. First, we introduce the general characteristics of mitochondria in cells, including their roles in adenosine triphosphate and reactive oxygen species production, calcium homeostasis, and programmed cell death. Second, we present the unique characteristics of mitochondria in female reproduction, covering the bottleneck theory, mitochondrial shape, and mitochondrial metabolic pathways during oogenesis and preimplantation embryo development. Mitochondrial dysfunction is associated with ovarian aging, a diminished ovarian reserve, a poor ovarian response, and several reproduction problems in gametes and zygotes, such as aneuploidy and genetic disorders. Finally, we briefly describe which factors are involved in mitochondrial dysfunction and how mitochondrial function can be recovered in reproduction. We hope to provide a new viewpoint regarding factors that can overcome mitochondrial dysfunction in the field of reproductive medicine.

The Moderating Effect of COVID-19 on the Promotion, Distribution and Sales of Dairy Products in Western India: An Exploratory Study

  • SINGH, Sanjit;KOTALA, Siva Sai Madhumitha;SINGH, Prakash;V, Sai Krishna;YAMALA, Karthik
    • Journal of Distribution Science
    • /
    • v.20 no.6
    • /
    • pp.11-19
    • /
    • 2022
  • Purpose: This study aims at exploring and understanding the effect of four independent variables related to dairy retail marketing and distribution (deep freezers, promotions, company support and distributor-retailer relationship) and one moderating variable Covid-19 lockdown on sales of dairy product during the Covid 19 pandemic situation. Research design and methodology: Personal interviews and door-to-door surveys and promotional tools were designed to publicise and collect data from the retailers. The sale data before, during and after promotion activity were all recorded and evaluated to draw an inferential conclusion. Factor analysis and multiple regression methods were adopted to analyses the data collected. Results: The research shows that four out of the five factors studied was found having significant impact on dairy retail sales. The highest impact on sales was contributed by promotions, secondly by the deep freezer impact followed by distributor-retailer relationship during the study period and lastly but not the least due to influence of Covid-19 lockdown. Conclusions: The study contributes to the body of knowledge in cold chain distribution process through utilization of right mix of tools and tactics for effective marketing and distribution of dairy products in developing countries especially during a pandemic situation.