NUST Institutions Library Catalogue Search for 'kw,wrdl: (su-br:"ACT Assessment")'

China's emergence as a defense technological power /

[S.l.] : Routledge, 2012 . 232 p. ; 24 cm.. 0415519845 (hardcover) | 9780415519847 (hardcover)

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Afghan endgames : strategy and policy choices for america's longest war /

By Rothstein, Hy.. [S.l.] : Foundation Books, . 248 p. 9382993029 (hardcover) | 9789382993025 (hardcover)

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Damage and Fracture Mechanics Failure Analysis of Engineering Materials and Structures /

Dordrecht, The Netherlands: Springer Verlag, 2009 9789048126682 (alk. paper)

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Unmanned Aerial Vehicles /

By Valavanis, Kimon P.. 2011 9789400711099

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Renewable energy /

By Boyle, Godfrey. Oxford ; | New York : Oxford University Press in association with the Open University, 2004 . xi, 452 p. : 27 cm.. 9780199261789

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Knowing the adversary : leaders, intelligence, and assessment of intentions in international relations /

By Yarhi-Milo, Keren,. . xi, 355 pages : 25 cm.. 9780691159157 (hardcover : acidfree paper) | 9780691159164 (softcover)

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Biomedical Engineering (E-Book)

By Carlos Alexandre Barros de Mello. India In-Teh 2009 . x,658 P;

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Service learning :linking library education and practice(E-BOOK)

Chicago : American Library Association, 2009 . xii, 220 p. : 23 cm.. 0838909817 (alk. paper) | 9780838909812 (alk. paper)

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The connectors (E-BOOK) how the world's most successful businesspeople build relationships and win clients for life /

By Kuzmeski, Maribeth.. Hoboken, N.J. : Wiley, 2009 . xiv, 258 p. ; 24 cm.. 0470488182 (cloth) | 9780470488188 (cloth) | 9781118156285 (pbk.

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Cyber infrastructure protection (E-Book)

Carlisle, PA : Strategic Studies Institute, U.S. Army War College, 2011 . vi, 315 p. : , "May 2011." 23 cm.. 1-58487-468-6 | 978-1-58487-468-3

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The connectors :(E-BooK) how the world's most successful businesspeople build relationships and win clients for life /

By Kuzmeski, Maribeth.. Hoboken, N.J. : Wiley, 2009 . xiv, 258 p. ; 24 cm.. 0470488182 (cloth) | 9780470488188 (cloth) | 9781118156285 (pbk.

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Understanding psychology and crime : perspectives on theory and action /

By McGuire, James.. [S.l.] : Open University Press, 2004 . 296 p. ; , Paperback. 24 cm.. 0335211194 | 9780335211197

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Supply chain management : strategy, planning, and operations, second edition /

By Chopra, Sunil.. [S.l.] : Prentice Hall, 2003 . 592 p. ; , Hardcover. 26 cm.. 013101028X | 9780131010284

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Theories of psychotherapy and counseling : concepts and cases /

By Sharf, Richard S.. [S.l.] : Wadsworth Publishing Company, 1999 . 750 p. ; , Hardcover. 24 cm.. 0534364853 | 9780534364854

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Contemporary marketing : plus /

By Boone, Louis E.. [S.l.] : Harcourt Brace College Publishers, 1994 . 700 p. ; , Hardcover. 29 cm.. 0030976014 | 9780030976018

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How great decisions get made : 10 easy steps for reaching agreement on even the toughest issues /

By Maruska, Don.. [S.l.] : AMACOM, 2003 . 208 p. ; 24 cm.. 0814407935 (hardcover) | 9780814407936 (hardcover)

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Comparison of Quantitative Proxemics to measure trust in HRI /

By Ahmad, Fatima . . 45p. ; 30cm..

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Life Cycle Impact Assessment of Glass Manufacturing In Pakistan /

By Khan, Muhammad Usman Ali . . 76p. , The production of glass packaging requires a lot of energy and resources, and as the world's population rises, particularly in emerging nations, so does the demand for glass packaging. Although developing nations are also suffering from the effects of climate change, there is relatively little study on environmental impact assessment and analysis, notably the environmental impacts brought on by the activities related to glass manufacturing. This work conducted a thorough life cycle assessment (LCA) for the production of glass packaging in Pakistan in order to close this research gap of quantification of the environmental impacts of glass packaging production. The LCA was carried out for three distinct types of glass packaging solutions (amber, flint, and green), considering 1-ton of glass as the functional unit. The creation of several scenarios allowed for the analysis of the effects and the generation of ideas for ways to lessen the negative effects of glass manufacture on the environment. The study's methodology used a cradle-to-gate approach. From the perspective of the life cycle inventory, the main data were gathered from a renowned glass industry situated in one of Pakistan's designated industrial zones, and the secondary data were obtained from the Ecoinvent database. Environmental impacts were measured at midpoint and endpoint levels utilizing the ReCiPe 2016 approach and SimaPro V 9.2 as the software tool. Results indicated that the extraction and processing of raw material had worse impacts on the environment. At plant level the consumption of natural gas for the melting purposes and electricity consumed from national grid had highest impacts on the environment. The comparison of three packaging solutions indicated that the production of green glass was more harmful to the environment, followed by the production of amber glass and flint glass came out to be more environmentally friendly among the three packaging solutions. The alternative scenarios were generated by changing the energy-mix and the cullet ratios and the results were compared with the baseline scenarios for different midpoint and endpoint impact categories. The alternative scenarios for the energy mix were also compared for different kinds of emissions to air especially the greenhouse gas emissions. The report also identified a number of significant implications. This study may serve as a guide for future research on the environmental impact of the glass packaging industry, particularly in Pakistan and other developing nations. In this sense, developing nations would work toward net-zero emissions and sustainable development goals 30cm.

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Therapeutic Potential of Galantamine for Managing the Complications Associated with Ischemic Stroke /

By Ahsan, Mehwish . . 104p. , Ischemic stroke remains the leading cause of illness and second leading cause of death worldwide. Previous research has shown that galantamine has neuroprotective properties, reducing neuronal death and damage in neurodegenerative conditions and improving cognitive function in Alzheimer's disease patients. The investigation looked into the possible mechanisms by which this medication could reduce cell death. Wistar rats were subjected to a temporary 30-minute occlusion of the right middle cerebral artery (MCA) and given an oral dose of 5mg/kg for three weeks. After 18 days of surgery, behavioral assessments were carried out. Galantamine enhanced grip strength, motor function, and muscle strength in rats. Spatial memory and object recognition examinations revealed cognitive improvements, thus indicating enhanced cognitive abilities and memory retention. Moreover, rats subjected to galantamine treatment displayed increased sociability and heightened locomotor activity during social interaction and open-field assessments. Molecular analysis of galantamine treatment in rats showed an upregulation of SOD2 expression, suggesting enhanced antioxidant defense, and a downregulation of TLR4 expression, suggesting a reduction in neuroinflammation, supporting the anti-inflammatory properties of galantamine. The histological analysis done with H&E staining of brain tissue revealed enhanced tissue morphology in the galantamine-treated group, signifying the neuroprotective effects of galantamine. The reduction in neuronal damage, edema, and inflammatory cell infiltration further supported this observation. The results demonstrate that galantamine, potentially through the preservation of a functional cholinergic system, mitigated the impairments caused by stroke in a basic learning and memory test by decreasing cellular death. 30cm.

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Fixed-Value MBLL based Cognitive Hemodynamic response assessment using P-fNIRS system: Applications to Deep Learning Brain Machine Interface (BMI) /

By Asgher,Umer . . 172p. , Humans in the modern systems not only interact with other humans but also have to interact with intelligent machines, robots in form of cyber physical systems to collaborate in order to carry out different tasks in real working environment. The modern Industrial system comprises of humans, machines, and cyber systems with a collective aim of optimized industrial manufacturing objectives, human factors, and ergonomics goals. Different macrohuman factors are considered while designing and formulating human work safety of such systems and one of the important neuroergonomic factors in is the Cognitive and Mental Workload (C-MWL). The mental workload (MWL) in the human’s brain is measured with difference non-invasive neuroimaging techniques. Most of the cognitive load measuring methods either require massive system protocols like fMRI (functional magnetic resonance imagining), positron-emission tomography (PET) or strict human anatomical movements restrictions like electroencephalogram (EEG) and magnetoencephalography (MEG). To address these limitations, fNIRS (functional Near infrared Spectroscopy) is used in this research to measure the hemodynamic changes in the human brain’s tissues as a measure of the brain activity. The brain’s hemodynamic signals are measured using a light weight portable fNIRS system (P-fNIRSSyst) that is designed to measure relative change in concentration of chromophores (oxy and deoxy hemoglobin) in brain tissues. In this study a novel variant of MBLL (Modified Beer-lambert Law) is designed by keeping the previous intensity value as a reference by taking the average from initial four seconds activity stimuli in optical density. The four second stimuli average in novel and important in calculation the changes in concentration of chromophores. This novel variant of MBLL is Fixed Value - Modified Beer-lambert Law (FV-MBLL). In this research, MWL is measured and classified in different real time working environments. The two-state cognitive load is measured with fNIRS system and classified using FV-MBLL using machine learning techniques like k-nearest neighbors (k-NN), support vector machines (SVM), and artificial neural networks (ANN). The classification accuracies of FV-MBLL are better than MBLL. The research further explores the classification capabilities of deep neural networks (DNN) such as convolutional neural network s (CNN) and Long short-term memory (LSTM) for the first time in assessment and classification of four- iv state MWL. The classification accuracies of LSTM outperform not only ML algorithms (SVM, KNN and ANN) but CNN as well in classification of multi-state MWL. The research experimental validation is performed using the accuracies with MWL that are further utilized in neurorehabilitation as neurofeedback to operate bionic systems using Brain Machine Interface (BMI). 30cm.

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Cyber Anomaly Detection using ML with Wazuh/ELK (CADM) /

By Ashiq, Hussain . MCS, NUST Rawalpindi 2024 . 58 p

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Proteomic Analysis of Alzheimer’s Disease Models Administered with Rutin and Rutin-Bound Nanoparticles /

By Muti ,Alveena. . 86p. ; , Alzheimer’s disease is a progressive neurodegenerative disease leading to cognitive impairment and memory loss. The presence of amyloid ß deposition and neurofibrillary tangles remain the neuropathologic criteria for AD diagnosis. The BBB which is necessary for proper neuronal activity prevents solutes from the bloodstream getting into the brain. Unfortunately, there is no effective therapy for the treatment of AD due to low drug potency and various drug delivery issues, such as limited bioavailability and the blood-brain barrier's obstructions. Recently nanotechnology has demonstrated encouraging advancements in the treatment of AD. Many different types of nano-carriers have been modified to provide effective new therapeutic approaches. This study investigated therapeutic effect of Rutin and compared them with those of Rutin-bound nanoparticles, NCDs-Rutin and CDs-Rutin in AD rat model. AD was induced in Wistar Han rats using AlCl3 and D-galactose. The rats were then treated with Rutin and Rutin-bound nanoparticles and the effects were assessed using different parameters. Behavior assessment showed that NCDs-Rutin gave significant results in MWM, Y-maze and NOR test, while CDs-Rutin exhibited better result in open field test. Histological analysis using H & E staining revealed that NCDs-Rutin group prevented brain tissue better than CDs-Rutin and Rutin group, however, Rutin group had more effective amyloid plaque reduction in ThT staining. Moreover, molecular analysis of treatment groups showed an upregulation of SOD2 expression, among them NCDs-Rutin and Rutin group showed significant results suggesting enhanced antioxidant defense. While, CDs-Rutin group showed significant reduction in TLR4 expression, suggesting a reduced neuroinflammation. Proteomic analysis through SDS-PAGE indicated differences protein expression across the groups. The Rutin-bound nanoparticles significantly outperformed Rutin in terms of efficacy, most likely as a result of their focused administration and increased bioavailability. 30cm..

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Therapeutic Effects of Sound-Mediated Stimulation in a Mouse Model of Depression - A Comparative Study /

By Reemaz, Tooba . . 90p. , Depression is a prevalent neuropsychiatric disorder characterized by mood disturbances, cognitive impairment, and behavioral deficits. While pharmacological treatments such as Fluoxetine are widely used, they often represent limitations including delayed onset of action and side effects, highlighting the need for alternative, non-invasive therapeutic strategies. One promising approach is neuromodulation through gamma entrainment using auditory stimulation, aimed at restoring disrupted neuronal synchronization. This study evaluates the effects of 40 Hz sound stimulation compared to fluoxetine in a chronic restraint stress-induced mouse model of depression, hypothesizing that sound therapy will yield superior recovery outcomes. Mice were divided into control, depressed, fluoxetine-treated, and sound stimulation-treated groups. Behavioral assessments, including the Tail Suspension Test, Forced Swim Test, Social Interaction Test, Sucrose Preference Test, Open Field Test, and Light-Dark Box Test, revealed that 40 Hz sound therapy significantly alleviated depressive-like behaviors, often outperforming fluoxetine. Histopathological analysis focused on the hippocampus and prefrontal cortex showed that sound stimulation preventing neuronal loss and parvalbumin-expressing interneurons, which are crucial for inhibitory circuit function and gamma oscillatory activity. Molecular evaluation through qPCR for pavlb and brain-derived neurotrophic factor; BDNF supported these findings, displaying increased expression levels indicating enhanced interneuron integrity and neuroplasticity. This neuromodulatory treatment encourages the molecular and functional repair of brain circuitry implicated in depression. The findings demonstrated 40 Hz sound entrainment's ability to change brain oscillations and ameliorate cellular and behavioral deficiencies linked to depression, indicating that it may be a novel supplement or substitute for traditional antidepressant treatments. 30cm.

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High-Density Surface Electromyography for the Assessment and Evaluation of Low Back Pain /

By Shabbir, Nida . . 94p. , Low back pain (LBP) is one of the most prevalent musculoskeletal disorders worldwide, with diagnosis often relying on subjective evaluation rather than objective physiological measures. This thesis introduces a data-driven framework for quantitative assessment of LBP using high-density surface electromyography (HD-sEMG). As a non-invasive technique, HD-sEMG provides insight into spinal neuromuscular behavior, enabling spatial and temporal characterization of muscle activity patterns associated with dysfunction. The study recruited 39 participants, divided into three groups that are healthy, sub-clinical, and LBP based on chiropractic evaluation. In the first study, machine learning classifiers including Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), and Artificial Neural Network (ANN) were trained on time and frequencydomain features to discriminate between groups. The SVM model achieved the highest accuracy, effectively distinguishing subtle neuromuscular differences between healthy and dysfunctional subjects. In the second study, a regression-based framework was developed to predict vertebral joint dysfunction scores (C1-Sacral) derived from chiropractic assessment. ANN and Convolutional Neural Network (CNN) models were trained under a CORAL (Consistent Rank Logits) ordinal regression framework, preserving the ordinal nature of dysfunction severity. The ANN model demonstrated superior predictive performance, capturing non-linear relationships between HD-sEMG activity and graded dysfunction levels. Overall, this research bridges the gap between clinical assessment and computational diagnostics, showing that HD-sEMG signatures can objectively quantify spinal dysfunction and support data-driven LBP diagnosis. The proposed framework establishes a foundation for personalized rehabilitation, automated dysfunction mapping, and AI-assisted musculoskeletal diagnostics, advancing the integration of biomedical signal processing with clinical neurophysiology. 30cm.

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