56 research outputs found
ADDON ALIGNMENT, COMPULSIVE PRINCIPLES, IN ADDITION INDICATOR BRUTALITY IN RESPONDENTS HAVING COMPULSIVE OBSESSIVE ILLNESS
No full textThe current research remained intended to regulate forecasters of thirteen indication magnitudes of Obsessive Compulsive Disorder (OCD). Subsequent cross-sectional study enterprise, 100 cases having Obsessive Compulsive Disorder (Men = 45; Women = 55) remained occupied through age assortment of 19-52 years finished nonprobability purposive sample method. The valuation actions comprised Demographic Survey, 2 subscales of OCD Sign Specification (Jabeen, 2009), Screening Form for Psychiatric Complaints (Kaiser, 2014), Urdu form of Studied Mature Addon Scale (Kausar, 2015) in addition Compulsive Confidence Questionnaire-45 (Compulsive Obsessive Thoughts Occupied Set, 2004). Outcomes exposed that addon concern in addition evasion had non-important association through OCD indicator magnitudes. Furthermore, compulsive principles of over reputation/ essential to control views in addition over accountability/overestimation of danger had momentous confident association through sexual also blasphemous passions also regulator forces. Completed responsibility/over approximation of danger certainty stayed substantial predictor of regulator pressure. Research results might aid mental analysts in documentation of compulsive principles fundamental precise indication scopes of OCD subsequently principal to enhanced action results.
Key Words: Compulsive obsessive illness, attachment nervousness, addon evasion, compulsive principles, indication magnitudes
The Reading Preferences of Primary School Children in Lahore
No full textThe scope of this study aims at investigating reading
preferences of children of Lahore city, which is the
capital of Punjab province
-
Pakistan. It was assumed
that proper attention towards providing
reading
opportunities to primary school students (First
-
Fifth
grade) in Pakistan is vital while inculcating reading
habits at that tender age. The study was conducted on
300 primary school students. A target group of 300
primary school students was select
ed for this study.
Mainly survey method based on administered
questionnaire was used to collect quantitative data
from young students. The findings suggested that the
children prefer to read locally published printed
material in English. Respondents were f
ound
interested in reading short stories. (Fiction books,
narrating adventure stories remained their favorite.
On basis of the findings, the study furnishes
suggestions for parents, teachers and school librarians,
along with the local publishers for playin
g their
effective role in developing reading habits and
addresses the barriers in this regard
Robust design of CAV-Dedicated lanes considering CAV demand uncertainty and lane reallocation policy
No full textReduced headways of connected and automated vehicles (CAV) provide opportunities to address traffic congestion and environmental adversities. This benefit can be utilized by deploying CAV-dedicated lanes (CAVDL). This paper presents a bi-level optimization model that captures CAV market size uncertainty. The upper level determines the links (and number of lanes) for CAVDL deployment to minimize emissions. It considers lane reallocation policies that account for the prospect of smaller width of CAV-dedicated lane due to the smaller lateral wander of CAV tire tracks. This can increase the total number of lanes on wide highway sections. At the lower level, equilibrium and demand diffusion models capture travelers’ route and vehicle-type choices. The bi-level model is formulated as a min–max mathematical program with equilibrium conditions and solved using the cutting-plane scheme and active-set algorithm. The computational experiments indicate that the robust plans have superior performance compared to the deterministic plan in pessimistic cases.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Transport and Plannin
Robust Design of Electric Charging Infrastructure Locations under Travel Demand Uncertainty and Driving Range Heterogeneity
No full textThe rising demand for electric vehicles (EVs), motivated by their environmental benefits, is generating an increased need for EV charging infrastructure. Also, it has been recognized that the adequacy of such infrastructure helps promote EV use. Therefore, to facilitate EV adoption, governments seek guidance on continued investments in EV charging infrastructure development. Such investment decisions, which include EV charging station locations and capacities, and the timing of such investments require robust estimates of future travel demand and EV battery range constraints. This paper develops and implements a framework to establish an optimal schedule and locations for new charging stations and decommissioning gasoline refueling stations over a long-term planning horizon, considering the uncertainty in future travel demand forecasts and the driving range heterogeneity of EVs. A robust mathematical model is proposed to solve the problem by minimizing not only the worst-case total system travel cost but also the total penalty for unused capacities of charging stations. This study uses an adaptation of the cutting-plane method to solve the proposed model. Based on two key decision criteria (travelers' cost and charging supply sufficiency), the results indicate that the robust scheme outperforms its deterministic counterpart. Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Transport and Plannin
New β-peptides for mimicking biomineralisation
No full textThis thesis was scanned from the print manuscript for digital preservation and is copyright the author.
Researchers can access this thesis by asking their local university, institution or public library to
make a request on their behalf. Monash staff and postgraduate students can use the link in the References field
Authorship attribution on Urdu corpus using lexical, syntactic and stylistic features
No full textAuthorship attribution has deep roots in linguistic Stylometry. Stylometry is the linguistic information to label documents whose authors are unknown by using the writing style of the possible suspects. Traditional authorship attribution systems rely on the specific vocabulary and writing style of the author.
In my study, I have performed two experiments and compare both the experiment and discuss the outcomes. Both experiments examine the performance of the model using the combination of lexical, syntactic and stylistic features. In experiment 1, the performance of Naïve Bayes, Support Vector Machine and Random Forest is examined and in experiment 2, the deep learning model is applied and its performance is judge using the traditional approaches in experiment 1
Enhancing Smart Grid Security and Efficiency: AI, Energy Routing, and T&D Innovations (A Review)
No full textThis paper presents an in-depth review of cybersecurity challenges and advanced solutions in modern power-generation systems, with particular emphasis on smart grids. It examines vulnerabilities in devices such as smart meters (SMs), Phasor Measurement Units (PMUs), and Remote Terminal Units (RTUs) to cyberattacks, including False Data Injection Attacks (FDIAs), Denial of Service (DoS), and Replay Attacks (RAs). The study evaluates cutting-edge detection and mitigation techniques, such as Cluster Partition, Fuzzy Broad Learning System (CP-BLS), multimodal deep learning, and autoencoder models, achieving detection accuracies of (up to 99.99%) for FDIA identification. It explores critical aspects of power generation, including resource assessment, environmental and climatic factors, policy and regulatory frameworks, grid and storage integration, and geopolitical and social dimensions. The paper also addresses the transmission and distribution (T&D) system, emphasizing the role of smart-grid technologies and advanced energy-routing strategies that leverage Artificial Neural Networks (ANNs), Generative Adversarial Networks (GANs), and game-theoretic approaches to optimize energy flows and enhance grid stability. Future research directions include high-resolution forecasting, adaptive optimization, and the integration of quantum–AI methods to improve scalability, reliability, and resilience
Removal of Fluoride from Aqueous Solution Using Biochar Derived from Brown Macroalgae (Sargassum polycystum) Impregnated with Fe3O4 Nanoparticles
No full textThis study explores the enhancement of fluoride adsorption using biochar derived from the brown macroalga Sargassum polycystum, which was treated with iron oxide (Fe3O4). The macroalgal biomass underwent pyrolysis at 400 °C, followed by Fe3O4 impregnation, to improve surface functionality and create active sites for fluoride ion binding. Various factors affecting fluoride removal were systematically examined. A maximum fluoride removal effectiveness of 90.2% was attained under ideal circumstances (pH 2, 60 mg adsorbent dose, 30 mg/L fluoride concentration, and 150 min contact duration). Adsorption isotherm analysis showed that the Langmuir model provided a better fit (R2 = 0.998) than the Freundlich model (R2 = 0.941), with a maximum adsorption capacity (qₘ) of 3.41 mg/g, indicating monolayer adsorption on a homogeneous surface. Kinetic modeling revealed that the pseudo-second-order model best described the adsorption process (R2 = 0.9943), suggesting chemisorption as the dominant mechanism, while the intraparticle diffusion model also showed a good fit (R2 = 0.9524), implying its role in the rate-limiting step. Surface complexation, facilitated by the enhanced surface area and porosity of the iron-modified biochar, was identified as the primary mechanism of fluoride ion interaction. This study highlights the potential of Fe3O4-modified macroalgal biochar as an effective and sustainable solution for fluoride remediation in contaminated water sources
PENERIMAAN DIRI DISABILITAS FISIK NON-BAWAAN DI UPT. REHABILITASI SOSIAL BINA DAKSA PASURUAN
No full textPeople with non-congenital physical disabilities tend to experience depression due to traumatic events that affect their physical changes. So there needs to be a process to accept one's condition so that individuals can overcome the depression they are experiencing and have a purpose in life. This research aims to determine the process of self-acceptance and the problems experienced by people with non-congenital physical disabilities at UPT RSBD Pasuruan. To obtain data for this research, the author used a descriptive qualitative approach which helped the author to explain in more detail the content of the research. In this research, researchers also used observation, interview and documentation techniques. The results of this research show that the process of self-acceptance experienced by the subject goes through the stages of Aversion, Curiosity, Tolerance, Allowing, and Friendship. Each individual has different stages. The factors that support self-acceptance include understanding themselves, realistic expectations, identification of people who are able to adapt, and supportive social behavior
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