120 research outputs found
Factors Predicting Uterine Rupture Following a Cesarean Section
Full text linkObjective: This study was conducted to evaluate factors that predict uterine rupture following a previous
cesarean section.
Study Design: A cross-sectional study.
Place and Duration of Study: The Study was conducted at the Department of Gynecology, Bakhtawar Amin
Hospital Multan, Pakistan from June 2022 to June 2023.
Methods: The study included 100 women who had previously given birth. Women who had a successful vaginal
birth after cesarean section (VBAC) were controls and who had rupture/scar dehiscence were considered
cases. Socio-demographic data and information related to delivery, labor, and pregnancy were collected.
Results: A total of 100 women (40 cases and 60 controls) were included in the study. All women had
spontaneous onset of labor. 12.5% (8) cases and 85% (51) controls had a successful vaginal birth after the
cesarean section (VBAC). 34.1% of all rupture cases happened during the second stage of labor and 41.4%
during the latent phase of labor. Upon arrival 30% (12) of cases had shock. Maternal complications in cases
included anemia (21 patients), death (2 patients), uterine artery involvement (3 patients), and bladder rupture
(4 patients). According to multivariate analysis factors including previous vagina delivery, duration of labor, fetal
weight, and number of ANC visits were significantly related to rupture of uterus after previous cesarean (P<.05).
Conclusion: Factors including prolonged labor, lesser antenatal care follows ups, and fetal weight > 3.8 kg
increase the likelihood of uterine rupture following a C-section. It is crucial to develop strict criteria, considering
intrapartum obstetric care, infrastructure, and referral system, for the selection of favorable candidates for trial
of labor.
How to cite this: Tabassum S, Khan B, Qureshi HZ, Imran H. Factors Predicting Uterine Rupture Following a Cesarean Section. Life and Science. 2024; 5(4): 446-451. doi: http://doi.org/10.37185/LnS.1.1.54
Correction to: A cell-cycle signature classifier for pan-cancer analysis
No full textIn the original published version, the list of authors was incomplete. Theodora A. Constantin was missing, and Neha Tabassum and Theodora A. Constantin share first authorship. The correct author list is given above. The original article has been corrected. DOI to original article: https://doi.org/10.1038/s41388-020-01426-
A statistical model of uplink inter-cell interference with slow and fast power control mechanisms
No full textUplink power control is in essence an interference mitigation technique that aims at minimizing the inter-cell interference (ICI) in cellular networks by reducing the transmit power levels of the mobile users while maintaining their target received signal quality levels at base stations. Power control mechanisms directly impact the interference dynamics and, thus, affect the overall achievable capacity and consumed power in cellular networks. Due to the stochastic nature of wireless channels and mobile users' locations, it is important to derive theoretical models for ICI that can capture the impact of design alternatives related to power control mechanisms. To this end, we derive and verify a novel statistical model for uplink ICI in Generalized-K composite fading environments as a function of various slow and fast power control mechanisms. The derived expressions are then utilized to quantify numerically key network performance metrics that include average resource fairness, average reduction in power consumption, and ergodic capacity. The accuracy of the derived expressions is validated via Monte-Carlo simulations. Results are generated for multiple network scenarios, and insights are extracted to assess various power control mechanisms as a function of system parameters. © 1972-2012 IEEE.Abdi A., 1998, IET ELECT LETT, V34, P1583; Al-Ahmadi S, 2010, IEEE T WIREL COMMUN, V9, P706, DOI 10.1109-TWC.2010.02.081266; Au C, 1999, AM STAT, V53, P270, DOI 10.2307-2686109; Bithas P., P 2011 IEEE SARN S, P1; Bithas PS, 2006, IEEE COMMUN LETT, V10, P353, DOI 10.1109-LCOMM.2006.05030; Castellanos CU, 2008, IEEE VTS VEH TECHNOL, P2517; Chandrasekhar V, 2009, IEEE T WIREL COMMUN, V8, P4316, DOI 10.1109-TWC.2009.081386; Chen ZM, 2012, IEEE T COMMUN, V60, P456, DOI 10.1109-TCOMM.2011.012012.100426; Ericsson, 2007, 3GPP TSG RAN WG1 M 5; Gao N, 2011, IEEE T WIREL COMMUN, V10, P2116, DOI 10.1109-TWC.2011.050511.100458; Gradshteyn I. S., 2000, TABLE INTEGRALS SERI; Haas H, 2004, IEEE COMMUN LETT, V8, P102, DOI 10.1109-LCOMM.2004.823431; Hamdi KA, 2010, IEEE T COMMUN, V58, P411, DOI 10.1109-TCOMM.2010.02.080117; Kostic IM, 2005, IEE P-COMMUN, V152, P821, DOI 10.1049-ip-com:20045126; Kusaladharma S., 2013, IEEE WIREL COMMUN, P1; Muhammad B., P 2009 IEEE VEH TECH, P1; Mullner R., P 2009 IEEE C COMM, P1; Papoutsis VD, 2011, IEEE COMMUN LETT, V15, P551, DOI 10.1109-LCOMM.2011.030911.110252; Rabbachin A, 2011, IEEE J SEL AREA COMM, V29, P480, DOI 10.1109-JSAC.2011.110219; Rao AM, 2007, IEEE VTS VEH TECHNOL, P1837, DOI 10.1109-VETECF.2007.387; Seol C, 2009, IEEE T COMMUN, V57, P3069, DOI 10.1109-TCOMM.2009.10.080152; Simonsson A., P 2008 IEEE VEH TECH, P1; Tabassum H., 2012, P 2012 IEEE VEH TECH; Tabassum H, 2013, IEEE T WIREL COMMUN, V12, P206, DOI 10.1109-TWC.2012.120412.112244; Tabassum H., 2012 IEEE WIR COMM N; Xiao W., P 2006 IEEE VEH TECH, P1; Zhang QT, 1996, IEEE T VEH TECHNOL, V45, P364, DOI 10.1109-25.492911; Zhu HL, 2012, IEEE T COMMUN, V60, P499, DOI 10.1109-TCOMM.2011.112811.110036; Zhu HL, 2009, IEEE T COMMUN, V57, P2734, DOI 10.1109-TCOMM.2009.09.080067; Zorzi M., 1997, IEEE T COMMUN, V4512
Students’ Attitude towards Patient-Centered Care: A Comparative Study between Traditional and Integrated Curriculum
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Resource allocation via sum-rate maximization in the uplink of multi-cell OFDMA networks
No full textIn this paper, we consider maximizing the sum rate in the uplink of a multi-cell orthogonal frequency-division multiple access network. The problem has a non-convex combinatorial structure and is known to be NP-hard. Because of the inherent complexity of implementing the optimal solution, firstly, we derive an upper bound (UB) and a lower bound (LB) to the optimal average network throughput. Moreover, we investigate the performance of a near-optimal single cell resource allocation scheme in the presence of inter-cell interference, which leads to another easily computable LB. We then develop a centralized sub-optimal scheme that is composed of a geometric programming-based power control phase in conjunction with an iterative subcarrier allocation phase. Although the scheme is computationally complex, it provides an effective benchmark for low complexity schemes even without the power control phase. Finally, we propose less complex centralized and distributed schemes that are well suited for practical scenarios. The computational complexity of all schemes is analyzed, and the performance is compared through simulations. Simulation results demonstrate that the proposed low complexity schemes can achieve comparable performance with that of the centralized sub-optimal scheme in various scenarios. Moreover, comparisons with the UB and LB provide insight on the performance gap between the proposed schemes and the optimal solution. Copyright © 2011 John Wiley and Sons, Ltd.Abardo A., 2007, P IEEE INT C COMM IC, P5738; Chiang M, 2007, IEEE T WIREL COMMUN, V6, P2640, DOI 10.1109-TWC.2007.05960; Grant M., 2007, CVX MATLAB SOFTWARE; Huang JW, 2009, IEEE J SEL AREA COMM, V27, P226, DOI 10.1109-JSAC.2009.090213; Kiani SG, 2007, P IEEE WIR COMM NETW; Kim K, 2005, IEEE COMMUN LETT, V9, P526, DOI 10.1109-LCOMM.2005.06018; Kortanek KO, 1997, MATH PROGRAM, V76, P155, DOI 10.1007-BF02614382; Li GQ, 2006, IEEE T WIREL COMMUN, V5, P3451, DOI 10.1109-TWC.2006.03706; Ma Y., 2007, P IEEE MILCOM OCT, P1; Moretti M, 2007, IEEE T WIREL COMMUN, V6, P2807, DOI 10.1109-TWC.2007.06106; Ng CY, 2008, IEEE T WIREL COMMUN, V7, P1667, DOI 10.1109-TWC.2008.060723; Tabassum H, 2011; Yaacoub E, 2010, IET COMMUN, V4, P2217, DOI 10.1049-iet-com.2009.0722; Yaacoub E., 2010, P 17 INT C TEL 2010; Yang K., 2008, P GLOB COMM C GLOBEC11
جدید اُردو تنقید کا ایک معتبر حوالہ :تبسم کاشمیری
No full textDr. Tabassum Kashmiri earned fame in different capacities of Urdu literature. He contributed in Urdu literature multidimensionally with considerable multi aspects of the views and features. He highlighted issues of modern world attitudes of violation of traditionalism as social dilemma. He strongly supported the views that present criticism is unable to reflect, deliver and pointout the right direction. Author of the article is of the opinion that Tabassum Kashmiri is well aware of the art produced and contributed by the authors of present era. Author of the article is of the opinion that Tabassum Kashmiri not only well aware but also associated with the conclusion and functions of the present criticism.
Interference statistics and capacity analysis for uplink transmission in two-tier small cell networks: A geometric probability approach
No full textThis paper presents a novel framework to derive the statistics of the interference considering dedicated and shared spectrum access for uplink transmission in two-tier small cell networks such as the macrocell-femtocell networks. The framework exploits the distance distributions from geometric probability theory to characterize the uplink interference while considering a traditional grid-model set-up for macrocells along with the randomly deployed femtocells. The derived expressions capture the impact of path-loss, composite shadowing and fading, uniform and non-uniform traffic loads, spatial distribution of femtocells, and partial and full spectral reuse among femtocells. Considering dedicated spectrum access, first, we derive the statistics of co-tier interference incurred at both femtocell and macrocell base stations (BSs) from a single interferer by approximating generalized- K composite fading distribution with the tractable Gamma distribution. We then derive the distribution of the number of interferers considering partial spectral reuse and moment generating function (MGF) of the cumulative interference for both partial and full spectral reuse scenarios. Next, we derive the statistics of the cross-tier interference at both femtocell and macrocell BSs considering shared spectrum access. Finally, we utilize the derived expressions to analyze the capacity in both dedicated and shared spectrum access scenarios. The derived expressions are validated by the Monte Carlo simulations. Numerical results are generated to assess the feasibility of shared and dedicated spectrum access in femtocells under varying traffic load and spectral reuse scenarios. © 2014 IEEE.Adelantado F, 2007, IEEE T VEH TECHNOL, V56, P2902, DOI 10.1109-TVT.2007.900386; Al-Ahmadi S, 2010, IEEE T WIREL COMMUN, V9, P706, DOI 10.1109-TWC.2010.02.081266; Andrews JG, 2011, IEEE T COMMUN, V59, P3122, DOI 10.1109-TCOMM.2011.100411.100541; Baccelli F, 2009, IEEE J SEL AREA COMM, V27, P1105, DOI 10.1109-JSAC.2009.090908; Baltzis K. B., 2011, CELLULAR NETWORKSPOS, P103; Baltzis KB, 2011, PROG ELECTROMAGN RES, V114, P159, DOI 10.2528-PIER10122105; Barbieri A, 2012, IEEE J SEL AREA COMM, V30, P586, DOI 10.1109-JSAC.2012.120408; Bithas PS, 2006, IEEE COMMUN LETT, V10, P353, DOI 10.1109-LCOMM.2006.05030; Chandrasekhar V, 2009, IEEE T WIREL COMMUN, V8, P5314, DOI 10.1109-TWC.2009.090241; Chandrasekhar V, 2009, IEEE T WIREL COMMUN, V8, P3498, DOI 10.1109-TWC.2009.070475; Claussen H., 2007, P IEEE INT S PERS IN, P1; Dhillon HS, 2013, IEEE T WIREL COMMUN, V12, P1666, DOI 10.1109-TWC.2013.13.120485; Dhillon HS, 2012, IEEE J SEL AREA COMM, V30, P550, DOI 10.1109-JSAC.2012.120405; ElSawy H., IEEE T WIRE IN PRESS; ElSawy H, 2013, IEEE COMMUN SURV TUT, V15, P996, DOI 10.1109-SURV.2013.052213.00000; FAIRTHORNE D, 1964, BIOMETRIKA, V51, P275, DOI 10.2307-2334223; Fehske A., 2009, P IEEE GLOB COMM C G, P1; Gradshteyn I. S., 2000, TABLE INTEGRALS SERI; Guvenc I, 2008, IEEE COMMUN LETT, V12, P880, DOI 10.1109-LCOMM.2008.081273; Hamdi KA, 2010, IEEE T COMMUN, V58, P411, DOI 10.1109-TCOMM.2010.02.080117; Heath RW, 2013, IEEE T SIGNAL PROCES, V61, P4114, DOI 10.1109-TSP.2013.2262679; Hossain E., 2013, RADIO RESOURCE MANAG; Jo HS, 2012, IEEE T WIREL COMMUN, V11, P3484, DOI 10.1109-TWC.2012.081612.111361; Khakurel S., 2012, P NCC, P1; Le LB, 2013, IEEE T WIREL COMMUN, V12, P180, DOI 10.1109-TWC.2012.120412.120141; Mukherjee S, 2012, IEEE J SEL AREA COMM, V30, P575, DOI 10.1109-JSAC.2012.120407; Novlan TD, 2013, IEEE T WIREL COMMUN, V12, P2669, DOI 10.1109-TWC.2013.050613.120325; Pateromichelakis E., 2011, PERS IND MOB RAD COM, P122; Pirinen P., 2006, THESIS U OULU OULU F; Richter F., 2009, P IEEE VEH TECHN C V, P1, DOI DOI 10.1109-VETECF.2009.5379031; Solomon H., 1987, GEOMETRIC PROBABILIT; Tabassum H., 2012, P IEEE GLOBECOM 12 A, P1; TABASSUM H, 2012, P IEEE GLOBECOM, P529; Tabassum H, 2013, IEEE T WIREL COMMUN, V12, P206, DOI 10.1109-TWC.2012.120412.112244; Tao T., 2011, INTRO MEASURE THEORY, V126; Xia P, 2010, IEEE T WIREL COMMUN, V9, P3798, DOI 10.1109-TWC.2010.101310.100231; Xu ZK, 2012, IEEE T WIREL COMMUN, V11, P2776, DOI 10.1109-TWC.2012.061912.110655; ZHANG QT, 1995, IEEE T VEH TECHNOL, V44, P661, DOI 10.1109-25.4066351
A framework for uplink intercell interference modeling with channel-based scheduling
No full textThis paper presents a novel framework for modeling the uplink intercell interference (ICI) in a multiuser cellular network. The proposed framework assists in quantifying the impact of various fading channel models and state-of-the-art scheduling schemes on the uplink ICI. Firstly, we derive a semi-analytical expression for the distribution of the location of the scheduled user in a given cell considering a wide range of scheduling schemes. Based on this, we derive the distribution and moment generating function (MGF) of the uplink ICI considering a single interfering cell. Consequently, we determine the MGF of the cumulative ICI observed from all interfering cells and derive explicit MGF expressions for three typical fading models. Finally, we utilize the obtained expressions to evaluate important network performance metrics such as the outage probability, ergodic capacity, and average fairness numerically. Monte-Carlo simulation results are provided to demonstrate the efficacy of the derived analytical expressions. © 2013 IEEE.Al-Ahmadi S., P 2009 WIR COMM NETW, P1; Elayoubi SE, 2008, IEEE T WIREL COMMUN, V7, P1623, DOI 10.1109-TWC.2008.060458; Elliott R., P 2002 IEEE CAN C EL, P1583; Gradshteyn I. S., 2000, TABLE INTEGRALS SERI; Hamdi KA, 2010, IEEE T COMMUN, V58, P411, DOI 10.1109-TCOMM.2010.02.080117; Ko YC, 2000, IEEE T COMMUN, V48, P1783; Kwan R, 2011, IEEE COMMUN LETT, V15, P965, DOI 10.1109-LCOMM.2011.071211.110849; Novlan TD, 2011, IEEE T WIREL COMMUN, V10, P4294, DOI 10.1109-TWC.2011.100611.110181; Oh E, 2008, IEEE T VEH TECHNOL, V57, P2617, DOI 10.1109-TVT.2008.909310; Plass S., P 2006 IEEE S COMM V, P49; Romero-Jerez JM, 2009, IEEE T WIREL COMMUN, V8, P2006, DOI 10.1109-TWC.2009.080333; Seol C, 2009, IEEE T COMMUN, V57, P3069, DOI 10.1109-TCOMM.2009.10.080152; Sharma N, 2005, IEEE T INFORM THEORY, V51, P1804, DOI 10.1109-TIT.2005.846410; Spirito MA, 2001, IEEE T VEH TECHNOL, V50, P674, DOI 10.1109-25.933304; Sung K.W., 2010, EURASIP J WIRELESS C; Tabassum H., 2012, INTERCELL INTERFEREN; Viering I., EURASIP J WIRELESS C, V2010, P73; Viering I, 2006, IEEE ICC, P2095; Xu Z., P 2011 IEEE INT C CO, P1; Yilmaz F., P 2011 IEEE VEH TECH, P1; Zhang QT, 1996, IEEE T VEH TECHNOL, V45, P364, DOI 10.1109-25.492911; Zhao YL, 2002, IEEE COMMUN MAG, V40, P10886
The muffled accomplishments: South Asian digital learners’ invisible footsteps in MOOCS
Full text linkOnline education has become a popular tool for learning and it has gained incredible positive publicity with the emergence of Massive Open Online Courses (MOOCs). Learning through MOOCs has gained momentum over the last few years as prestigious universities and their esteemed faculty members offer more and more courses online. Millions have enrolled in MOOCs and they come not only from developed countries but also many developing countries. India has the second highest enrollment in MOOCs globally. It is imperative to understand the MOOCs user population from developing countries and more specifically, from South Asian countries. MOOCs have been touted as a plausible solution to the developing world’s lack of access to quality higher education because anyone can access the information, as long as they have access to the Internet. However, there have been limited research focused on how MOOCs has changed access and quality of education for students in the Global South.
The goal of this research was to understand, interpret and explain the expectations and experiences of the South Asian female learners who have enrolled in at least one MOOC. This study also examines how MOOCs have impacted their personal, academic, and professional lives. It was a qualitative study that incorporated three–phase data collection and triangulation of that data. The researcher’s observations from the MOOCs experience was a backdrop to the development of the data collection tools and the process of data gathering and data analysis. The use of three sources of data for analysis was one of the most significant aspects of this study as it showed how the incorporation of different data sources can provide a more holistic understanding of the online learners when data is collected through online means and there is no scope for in-person interaction or observations of informants.
The study findings show that MOOCs have reached a population in developing countries who are self-motivated to learn but do not have access to the most modern and useful tools and resources in their country or educational institutions. The study also shows that MOOCs although have not been able to reach the people who do not have access to higher education, it has greatly impacted and influenced actions and decisions of South Asian female learners who have actively participated in MOOCs in the past.
This study highlights the need to increase awareness of MOOCs platforms so that more self-motivated developing country learners with limited resources can access and learn from these extremely rich sources of knowledge and information. It also suggests that these learners can play the bridging role by internalizing the information from MOOCs and then becoming knowledge providers – by bringing the acquired knowledge to the learners in their own country who cannot directly benefit from MOOCs due to limited access to Internet and technology, inadequate computer skills and limited competency in English.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01The student, Tabassum Amina, accepted the attached license on 2018-11-21 at 01:19.The student, Tabassum Amina, submitted this Dissertation for approval on 2018-11-21 at 01:47.This Dissertation was approved for publication on 2018-11-26 at 12:04.DSpace SAF Submission Ingestion Package generated from Vireo submission #13108 on 2019-02-08 at 11:39:10Made available in DSpace on 2019-02-08T18:39:48Z (GMT). No. of bitstreams: 3
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A generic interference model for uplink OFDMA networks with fractional frequency reuse
No full textFractional frequency reuse (FFR) has emerged as a viable solution to coordinate and mitigate cochannel interference (CCI) in orthogonal frequency-division multiple-access (OFDMA)-based wireless cellular networks. The incurred CCI in cellular networks with FFR is highly uncertain and varies as a function of various design parameters that include the user scheduling schemes, the transmit power distribution among multiple allocated subcarriers, the partitioning of the cellular region into cell-edge and cell-center zones, the allocation of spectrum within each zone, and the channel reuse factors. To this end, this paper derives a generic analytical model for uplink CCI in multicarrier OFDMA networks with FFR. The derived expressions capture several network design parameters and are applicable to any composite fading-channel models. The accuracy of the derivations is verified via Monte Carlo simulations. Moreover, their usefulness is demonstrated by obtaining closed-form expressions for the Rayleigh fading-channel model and by evaluating important network performance metrics such as ergodic capacity. Numerical results provide useful system design guidelines and highlight the trade-offs associated with the deployment of FFR schemes in OFDMA-based networks. © 2013 IEEE.Al-Ahmadi S, 2010, IEEE T WIREL COMMUN, V9, P706, DOI 10.1109-TWC.2010.02.081266; Ali SH, 2009, IEEE T WIREL COMMUN, V8, P4286, DOI 10.1109-TWC.2009.081146; Bithas PS, 2006, IEEE COMMUN LETT, V10, P353, DOI 10.1109-LCOMM.2006.05030; Bjerke BA, 2011, IEEE WIREL COMMUN, V18, P4, DOI 10.1109-MWC.2011.6056684; Bonald T., 2009, P 7 INT S MOD OPT MO, P1; Elayoubi S.-E., 2007, P 15 IEEE INT C NETW, P537; Elayoubi SE, 2008, IEEE T WIREL COMMUN, V7, P1623, DOI 10.1109-TWC.2008.060458; Fujii H, 2008, IEEE VTS VEH TECHNOL, P1676; Ghaffar R., 2010, P 8 INT S MOD OPT MO, P273; Gradshteyn I. S., 2000, TABLE INTEGRALS SERI; Haipend X., 2007, P IEEE INT S PIMRC S, P1; Hamdi KA, 2010, IEEE T COMMUN, V58, P411, DOI 10.1109-TCOMM.2010.02.080117; Kim K, 2005, IEEE COMMUN LETT, V9, P526, DOI 10.1109-LCOMM.2005.06018; Ko YC, 2000, IEEE T COMMUN, V48, P1783; Ksairi N, 2011, IEEE T WIREL COMMUN, V10, P2101, DOI 10.1109-TWC.2011.051311.100393; Moretti M, 2013, IEEE T WIREL COMMUN, V12, P278, DOI 10.1109-TWC.2012.120412.120355; Moretti M, 2011, IEEE T VEH TECHNOL, V60, P1788, DOI 10.1109-TVT.2011.2119501; Novlan TD, 2011, IEEE T WIREL COMMUN, V10, P4294, DOI 10.1109-TWC.2011.100611.110181; Tabassum H, 2013, IEEE T WIREL COMMUN, V12, P206, DOI 10.1109-TWC.2012.120412.112244; Xu Z., 2011, P IEEE ICC, P11
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