26 research outputs found
Applications of balance optimization subset selection
Full text linkBalance Optimization Subset Selection (BOSS) is a framework designed to be used for causal inference on observational data. The theoretical foundation for the BOSS framework has been provided in the literature; this thesis aims to provide some examples of the practical value of BOSS by using it on two problems. The first application is using BOSS to determine a subset of users who would be suitable targets for marketing efforts, and the second application is using BOSS to identify potential first-round upsets in the NCAA basketball tournament. Finally, this thesis delves into another area of college basketball and attempts to model the process of the NCAA tournament selection committee using a decision tree.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-08-01The student, Shouvik Dutta, accepted the attached license on 2016-07-19 at 12:51.The student, Shouvik Dutta, submitted this Thesis for approval on 2016-07-19 at 12:54.This Thesis was approved for publication on 2016-07-21 at 14:08.DSpace SAF Submission Ingestion Package generated from Vireo submission #10013 on 2016-11-10 at 12:21:00Made available in DSpace on 2016-11-10T18:27:07Z (GMT). No. of bitstreams: 2
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Previous issue date: 2016-07-21Embargo set by: Seth Robbins for item 95292
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A study to compare the mental health status and psychological impact of the COVID-19 pandemic on male and female undergraduate medical students
No full textBackground: During the COVID-19 pandemic, medical students and health-care professionals faced significant challenges, which had a negative impact on their mental health. Aims: This study aimed to assess the mental health of male and female undergraduate medical students and the psychological effects of the COVID-19 pandemic. Participants and the Methodologies: After receiving institutional ethical clearance and the informed consent of the participants, this study was carried out on 591 medical students from a peripheral medical college in West Bengal during the first and second waves of the COVID-19 pandemic. At intervals of 6 months, two surveys were conducted. The Depression Anxiety and Stress Scale-21 and Impact of Event Scale–Revised scale scores were evaluated in the Google Forms surveys. Using the t-test and the Chi-square test, the parameters of the two groups of students were compared. Results: On the initial assessment, neither group received a score that was significantly different from the other. Female students had significantly higher anxiety scores than male students on the second assessment. During the second pandemic wave, there was a significant gender difference in anxiety and stress levels (P = 0.001), with females experiencing higher levels of anxiety and stress. Conclusions: During the second wave of the COVID-19 pandemic, female undergraduate medical students had higher stress and anxiety levels than their male counterparts, according to the current study. Therefore, it is possible to draw the conclusion that the spread of the pandemic had a greater negative impact on the mental health of female undergraduate students
How language-specific and cross-linguistic factors affect speech rhythm
No full textThis study examined the durational aspects of speech rhythm in Bengali (L1) and English spoken by educated Bengali advanced English learners (L2) to represent the effect of language-specific and cross-linguistic factors on speech rhythm. Employing metrics such as rateSyl, ΔC, nPVI-C, nPVI-V, VarcoV, %V, and ΔPeakLn, the study revealed that L1 exhibited a faster tempo, shorter consonants, and longer vowels relative to consonants, while L2 speech demonstrated greater variability in consonant and vowel durations, which are language-specific factors of L1 being a syllable-timed language and L2 being a stress-timed language. However, sonority patterns between syllables seemed consistent across L1 and L2 suggesting the cross-linguistic impact of L1 on L2. Moreover, the results identified the proportion of vocalic intervals (%V) as the most effective metric for differentiating between L1 and L2 rhythms
How language-specific and cross-linguistic factors affect speech rhythm: Evidence from Bengali and English
No full textL’estudi examina el ritme de parla del bengalí (L1) i de l’anglès parlat per aprenents avançats bengalís (L2), i pretén representar l’efecte de factors específics de llengua i interlingüístics sobre el ritme de la parla. Utilitzant mètriques com rateSyl, ΔC, nPVI-C, nPVI-V, VarcoV, %V i ΔPeakLn, l’estudi revela que la L1 mostra un tempo més ràpid, consonants més curtes i vocals més llargues, mentre que la parla L2 presenta més variabilitat en la durada de consonants i vocals, que són factors específics d’idioma (L1 de ritme sil·làbic i L2 de ritme accentual). Els patrons de sonoritat entre síl·labes, al seu torn, semblen coherents entre L1 i L2, cosa que suggereix l’impacte interlingüístic de la L1 en la L2. Finalment, els resultats identifiquen la proporció d’intervals vocàlics (%V) com la mètrica més eficaç per diferenciar entre els ritmes L1 i L2.This study examined the durational aspects of speech rhythm in Bengali (L1) and English spoken by educated Bengali advanced English learners (L2) to represent the effect of language-specific and cross-linguistic factors on speech rhythm. Employing metrics such as rateSyl, ΔC, nPVI-C, nPVI-V, VarcoV, %V, and ΔPeakLn, the study revealed that L1 exhibited a faster tempo, shorter consonants, and longer vowels relative to consonants, while L2 speech demonstrated greater variability in consonant and vowel durations, which are language-specific factors of L1 being a syllable-timed language and L2 being a stress-timed language. However, sonority patterns between syllables seemed consistent across L1 and L2 suggesting the cross-linguistic impact of L1 on L2. Moreover, the results identified the proportion of vocalic intervals (%V) as the most effective metric for differentiating between L1 and L2 rhythms
2D materials based nanopore structures as single molecule sensors
Full text linkNanopores are impedance based bio-sensors. The principle of nanopore sensors is analogous to that of a Coulter counter. A nanoscale aperture (the nanopore) is formed in an insulating membrane separating two chambers filled with conductive electrolyte. Charged molecules are driven through the pore under an applied electric voltage (a process known as electrophoresis), thereby modulating the ionic current through the nanopore. The temporary modulation of ionic current due to translocation of the molecule provides useful information about the structure, length, orientation and sequence. This versatile approach permits the label-free, amplification-free analysis of charged biopolymers.
The major challenges facing nanopore based techniques for practical sequencing applications are the limitations on temporal and spatial resolution. The finite thickness of membranes limit the spatial resolution of the measurement as multiple nucleotides occupy the pore at a given instant, reducing the sensitivity of the signal making single nucleotide resolution difficult to achieve. Graphene and MoS¬2 as a single layer material of the same order of thickness as the nucleotide separation in a DNA strand presents an exciting alternative to commercial Silicon nitride membranes. These materials also provide potential for exploration of field effect mechanisms which can be an alternative mechanism detect the individual nucleotides in the DNA strand. The possibility and feasibility of using the unique electrical properties of embedded active layers of graphene and MoS2 in stacked membranes has been explored here. The embedded graphene layers presented unique insights into the electrochemical properties of graphene edges in an embedded nanopore structure. The lack of a bad gap in graphene (unless extremely narrow constrictions are fabricated, which is very challenging) makes MoS2 (monolayers have a direct band gap of 1.85 eV) the more favorable material for charge based detection. The electrical properties of both graphene and MoS2 channels are reported here. Additionally we also studied the DNA transport through nanopores in freely suspended MoS2 membranes as well as integration of MoS2 in our stacked architecture. The other major challenge is to control/slow down DNA transport to within bandwidth limitation of commercial instruments to ensure reliable nucleotide separation in the blockade signal. The application of graphene-DNA hydrophobic attractions as a method to reduce DNA translocation speed is reported. A final device with integrated graphene, MoS2 and dielectric layers could provide the required structure to achieve DNA sequencing.
In addition atomic layer thin membranes could also improve the diagnostic capabilities of nanopore detection. The atomic layer thickness of these membranes could enable spatial mapping of size differences of an individual molecule. We report the ability of MoS2 membrane to distinguish free DNA from DNA-protein complex molecules. The ability to detect the presence of methyl binding domain proteins on methylated sites of DNA is valuable to the field of cancer diagnostics and such thin membranes could provide a pathway for spatial mapping of individual methylated sites.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-05-01The student, Shouvik Banerjee, accepted the attached license on 2016-04-21 at 16:00.The student, Shouvik Banerjee, submitted this Dissertation for approval on 2016-04-21 at 16:13.This Dissertation was approved for publication on 2016-04-22 at 15:43.DSpace SAF Submission Ingestion Package generated from Vireo submission #9420 on 2016-07-07 at 14:17:49Made available in DSpace on 2016-07-07T21:17:58Z (GMT). No. of bitstreams: 14
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Previous issue date: 2016-04-22Embargo set by: Seth Robbins for item 93299
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 93299 on 2018-07-08T09:15:36Z
How language-specific and cross-linguistic factors affect speech rhythm:Evidence from Bengali and English
Full text linkThis study examined the durational aspects of speech rhythm in Bengali (L1) and English spoken by educated Bengali advanced English learners (L2) to represent the effect of language-specific and cross-linguistic factors on speech rhythm. Employing metrics such as rateSyl, ΔC, nPVI-C, nPVI-V, VarcoV, %V, and ΔPeakLn, the study revealed that L1 exhibited a faster tempo, shorter consonants, and longer vowels relative to consonants, while L2 speech demonstrated greater variability in consonant and vowel durations, which are language-specific factors of L1 being a syllable-timed language and L2 being a stress-timed language. However, sonority patterns between syllables seemed consistent across L1 and L2 suggesting the cross-linguistic impact of L1 on L2. Moreover, the results identified the proportion of vocalic intervals (%V) as the most effective metric for differentiating between L1 and L2 rhythms.</p
Robust Control of Pulsatile Ventricular Assist Devices for Patients with Advanced Heart Failure
Full text linkIn this work, a robust control scheme has been developed for pulsatile left ventricular assist devices (LVADs) used for advanced heart failure patients, utilizing the sliding mode control philosophy. A widely accepted model for the cardiovascular system along with baroreflex feedback is used as the system. Simulations in MATLAB/Simulink show promising results for the proposed control scheme
Evaluation of Fuzzy-Logic based Position Control Strategies for an Electrohydraulic Actuation System
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