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Impact of Religiosity On Travel Intentions and Behaviors
No full textTravel is a unique activity to seek solace, break monotony, and at times to find
purpose. It is a journey that takes us not only across the world but also into the depths of
our own souls. This research delves into the complex interplay between religiosity,
personality, and the quest for meaning in life, examining their impact on travel intentions
and behaviors. It employs a two-phase approach: an initial comparative study of travellers
to religious (Prayagraj) versus non-religious (Agra) sites revealing distinct psychological
profiles, followed by a comprehensive analysis of 610 working professionals to assess
how these factors influence travel decisions. The study introduces two new scales for
measuring travel intentions and behaviors, addressing a gap in extant literature. Key
findings indicate that different aspects of religiosity, viz., intellectual, ideological, private
practice, and religious experience, each uniquely shape travel preferences, with
personality dimensions like negative emotionality and conscientiousness, and the search
for or presence of meaning in life, serving as significant moderators. Intellectual
religiosity increases intentions to visit religious sites, while ideological religiosity
expands interest in new and beautiful destinations. Moreover, seeking life's meaning
enhances the influence of ideological religiosity on the desire to visit religious as well as
new destinations. In contrast, having a defined sense of life's purpose influences travel
intentions driven by religious and intellectual motivations. By exploring the roles of
religiosity, personality, and meaning in life, this research yielded important insights for
both academia and the travel industry, emphasizing personalized tourism based on
individual predilections, laying a foundation for future research and practical applications
Leveraging AI-Driven Approach for Innovating IO Characterization
No full textStandard cell modelling requires library characterization as an essential design procedure which generates
precise and dependable models that detail their timing performance in addition to their power
consumption and other functional parameters. System-on-Chip (SoC) implementation requires this
process to make sure digital chip designs achieve specified performance power area (PPA) targets
successfully. The characterization technique operated by Siemens' Kronos depends on Eldo analog
simulations, but this method leads to long development cycles and high computational resource
utilization. The established techniques experience reduced accuracy effectiveness when used for multiple
electrical specifications while the industry moves towards manufacturing denser designs.
Siemens introduced Solido Characterization Suite through advanced machine learning-based algorithms
to optimize characterization processes. The innovative suite decreases the requirement for large-scale
simulations to cut down on computational expenses and reduce characterization periods. The Solido
Generator stands among the principal elements of the suite by quickly analysing design characteristics
across selected Process, Voltage and Temperature (PVT) regions to establish new PVT data points with
high precision.
The report analyses problems with conventional library characterization approaches then describes how
Solido Characterization Suite offers advanced solutions to these issues. The report uses detailed
examinations and specific case examples to show how machine learning transforms characterization
processing into a quick and correct method of library development. The Solido Characterization Suite
emerges as a fundamental tool in present-day semiconductor design because it shows great potential for
enhancing design efficiency together with reliability improvements
Critical Factors of Strategic Planning Process of Mergers and Acquisitions: A Comparative Study of Indian Banking and Information Technology Sector
No full text(i) Problem statement: Frequent high failures due to the lack of connectedness among
various independent research schools, underline the significance of acquiring a deep
understanding of the complexities related to the Mergers and Acquisitions (M&As)
process. This emphasizes the essential requirement to conduct a comprehensive
analysis of the factors impacting the overall performance of M&A.
(ii)Research objectives: The current study advocates that a strategic M&A plan
emphasizing the different phases and their critical factors will facilitate an
understanding of the M&A, and reduce failures. The present study examines the
impact of three phases of the strategic planning process- M&A intentions, the Pre
M&A planning phase, and the Post-M&A planning phase on the Post-M&A
performance of Indian banks and IT companies. The study also identifies the
motivating intentions and the critical factors of the Pre- and Post-M&A planning
phases of the Indian banking and IT sectors.
(iii) Research objectives: The current study examined the horizontal M&A deals in the
Indian banking and IT sectors for five years (2015-2019). A self-structured
questionnaire was used to collect data from in-house full-time professionals in
different managerial positions in the acquirer banks and IT companies in the Punjab,
Chandigarh, and the National Capital Region (NCR), Mumbai, and Bengaluru regions
of India. M&A consultants in the respective sectors were also contacted.
(iv) Research findings: Exploratory factor analysis (EFA) identified critically motivating
intentions, and various critical factors of the Pre- and Post-M&A planning phases of
the Indian banking and IT sectors. Furthermore, the developed models using the
Partial Least Squares-Structured Equation Modelling (PLS-SEM) revealed significant
impacts of the M&A intentions, the Pre- and the Post-M&A planning phases on the
Post-M&A performance of the banks. For the IT companies, only the Pre- and Post
M&A planning phases were found to be significantly impacting the Post-M&A
performance. The indirect effect of the Pre-M&A planning phase significantly
mediates the relationship between the M&A intentions and the Post-M&A
performance of IT companies.
v
(v)
Discussion and conclusion: Significant gaps were identified between the impact of the
different phases of the strategic planning process on the Post-M&A performance of
the banks and IT companies. This study recommends that a multi-factor, multi-phasic,
and multi-disciplinary integrative planning-based approach is essential to overcome
significant methodological roadblocks identified by previous studies and understand
the intricate M&A phenomena. It integrates the critical predictor factors of different
research schools to build a well-organized strategic plan, ensuring effective deal
planning to make the M&A succeed
Comparative Study of RC Column with RC Jacketing and FRP Jacketing
No full textThis study evaluates two prevalent methods for retrofitting RC columns RC Jacketing and FRP
Wrapping focusing on their application to columns, excluding shear walls, beams, and slabs.
The evaluation considers factors such as cost, site feasibility, labour requirements, strength
enhancement, aesthetic impact, durability and compliance with seismic design codes IS
1893:2016 part-I and FRP code ACI 440.2R-17 Guide for the Design and Construction of
Externally Bonded FRP Systems for Strengthening Concrete Structures.
Cost Analysis: RC Jacketing typically incurs lower costs due to material expenses and labour-
intensive processes. In contrast, FRP Wrapping offers a high cost especially for retrofitting
existing structures.
Site Feasibility: FRP Wrapping is advantageous in scenarios with limited access or where
minimal disruption is desired, as it requires less space and can be applied without extensive
structural modifications.
Labour Requirements: RC Jacketing demands skilled labour for formwork, concrete pouring,
and curing processes. FRP Wrapping, while requiring specialized knowledge for material
handling and application, can be less labour intensive and quicker to implement, reducing
downtime and associated costs.
Strength Enhancement: Both methods effectively enhance the axial load capacity and ductility
of RC columns. However, the extent of strength improvement may vary based on the quality of
execution and material properties.
Spatial Constraints: FRP wrapping is preferable in confined spaces due to its minimal increase
in column dimensions, whereas RC Jacketing may not be feasible if the additional thickness
exceeds 250 mm and FRP should not exceeds 8 raps
Durability: FRP materials offer superior resistance to corrosion and environmental degradation,
enhancing the longevity of retrofitted columns.
The selection between RC Jacketing and FRP Wrapping for column retrofitting depends on
various factors, including cost, site conditions, labour availability, and seismic considerations.
While both methods offer significant improvements in structural performance, FRP Wrapping
presents advantages in terms of cost-effectiveness, ease of application, and minimal disruption,
particularly in regions with high seismic activity as per IS 1893:1984 and IS 1893:2016.
Keywords: RC Jacketing, FRP Wrapping, Column Retrofitting, IS 1893:2016 part-I, 440.2R-
17, Seismic Design and Structural Rehabilitation
Automated Power Switch Stiching Using Daisy Chain Methodology
No full textPower switch stitching is a critical aspect of power management in modern VLSI
design, ensuring efficient power distribution across various power domains within an
integrated circuit. This report explores the methodology of power switch stitching
using a daisy chain approach within the Cadence Automatic Placement and Routing
(APR) construction flow, which is essential for achieving robust power management
in complex designs. The flow leverages Cadence's Genus tool for design elaboration
and Design-for-Test (DFT) insertion, followed by Innovus for detailed physical
implementation, including stages such as floorplanning, power planning, clock tree
synthesis (CTS), post-CTS optimization, routing, and sign-off verification.
A key focusis placed on the power planning stage in Innovus, where the Unified Power
Format (UPF) file plays a crucial role in defining the power intent, specifying the
power domains, voltage levels, and power switches that manage the transition between
on and off states. The UPF-based power plan guides the placement of power switches
and the subsequent stitching of these switches into a coherent network that ensures
reliable power distribution throughout the chip.
The daisy chain methodology is employed in the stitching of power switches to
simplify the control and management of multiple power switches across different
power domains. This method reducesthe complexity of wiring by connecting switches
in a sequential manner, ensuring proper timing and control over the power delivery.
The report delves into the intricacies of implementing this approach, examining how it
enhances the efficiency of power gating and ensures consistency in power distribution
across the integrated circuit. By integrating the daisy chain approach into the power
switch stitching process, this methodology offers a streamlined solution for managing
power transitions in advanced VLSI designs, ensuring a balance between performance
and power efficiency
The Relationship between Materialistic Values,Compulsive Buying and Fear of Negative Evaluation
No full textThis study explores the psychological predictors of compulsive buying behavior (CBB),
focusing on materialistic values and fear of negative evaluation (FNE) across two demographic
groups—university students and working adults. Drawing from existing theoretical
frameworks on emotional regulation, social anxiety, and consumer behavior, two correlational
studies were conducted using standardized psychometric instruments: the Materialistic Values
Scale (MVS), Brief Fear of Negative Evaluation Scale (BFNE), and the Compulsive Buying
Scales(CBS). The Study 1, involving 150 working adults, examined the relationship between
self-esteem, FNE, and CBB. Results showed that FNE was a significant predictor of
compulsive buying, whereas self-esteem had a weaker predictive value. Study 2, conducted
among 105 university students, found that materialistic values—especially the dimension of
success—were significant predictors of compulsive buying behavior, while FNE was not a
significant predictor in this group. Regression analyses revealed that different psychological
constructs drive compulsive buying across age and occupational groups, with FNE more
relevant for working individuals and materialistic values more impactful for students.
The findings underscore the multifaceted nature of compulsive buying and suggest the need
for differentiated intervention strategies. These could include emotional regulation training,
value reorientation programs, and social anxiety reduction techniques. The study highlights the
relevance of demographic factors in understanding consumer vulnerabilities and calls for
context-sensitive mental health and consumer education interventions
Screening of Microalgae and Diatoms from Jayanti K Rao Drain and their Role in Wastewater Remediation
No full textThe microalgal flora of the Jayanti K Rao drain in Kharar was studied in untreated wastewater
sample (A) collected at the start point, and the treated sample (B) collected at the end of the
drainage. In the untreated sample, no specific algae were dominant, the total cell count of unicellular microalgae, including diatoms, was 4×10⁶cells/mL, whereas in the treated sample,
Scenedesmus sp., Chlorella sp., and diatoms were found to be dominant, with a total cell count
of 2.5×10⁷ cells/mL. Principal component analysis (PCA) analysis clearly showed a biological
shift from untreated to treated wastewater. Pure culture isolation of Chlorella sp. and Scenedesmus sp., were done after enrichment in BG-11 media, whereas Navicula sp. was isolated in F/2
media specific for diatoms. A mixed culture of Chlorella sp., Scenedesmus sp., and diatoms
was grown in 3 different media supplemented with 3 different silica sources, with and without
CO2 sparging. DM medium with Na2SiO3 and CO₂ sparging gave the maximum biomass
(37.08mg), followed by WC Na2SiO3 plus CO₂ sparging (28.67 mg). Minimum biomass was
in F/2 media Na2SiO3 (2.02mg), followed by WC media SiO₂ G (2.33mg). CO₂ sparging successfully enhanced algal growth and biomass production under pure culture conditions. Parameters like pH, Dissolved Oxygen (DO), Total Dissolved Solids (TDS), and Electrical Conductivity were measured in samples A and B. The pH value changed from 7.46 to 7.43, while TDS
changed from 1108 to 1027 mg/L, and conductivity changed from 781 to 730 µS/cm. The increase in DO from 5% in sample A to 13% in sample B clearly shows improvement of water
quality and its remediation by dominant microalgal species such as Scenedesmus sp., Chlorella
sp., and diatoms
Co-occurrence of Anxiety and Depression in Cannabis Use Disorder: A Comparative Study
No full textBackground and Aim: The relationship between mental health disorders like anxiety and
depression and substance use is a significant area of research, particularly in the context of
cannabis use disorder (CUD). This study aims to understand the co-occurrence between the
same across both the genders, males and females.
Methodology: Total Participants (N= 160) took part in the study and were divided into two
groups including General Population (N= 80, M= 40, F=40) and Cannabis Use Disorder
Population (N= 80, M=40, F=40)
Tools: They were administered using the Brief Psychiatric Rating Scale (for CUD patients
only), Cannabis Abuse Screening Test (CUD Patients), The Hamilton Anxiety Rating Scale,
Beck’s Depression Inventory for studying the severity of cannabis abuse and their anxiety and
depression scores.
Results & Conclusions: The results indicate that
Keywords: Anxiety; depression; cannabis use disorder; general population; gende
