303 research outputs found
sj-docx-1-opp-10.1177_10781552231218999 - Supplemental material for Use of venetoclax in t(11;14) positive relapsed/refractory multiple myeloma: A systematic review
Supplemental material, sj-docx-1-opp-10.1177_10781552231218999 for Use of venetoclax in t(11;14) positive relapsed/refractory multiple myeloma: A systematic review by Wardah Javed Khan, Mubeen Ali, Sana Hashim, Huma Nawaz, Syeda Nafeesa Hashim, Danish Safi, and Arslan Inayat in Journal of Oncology Pharmacy Practice</p
sj-docx-2-opp-10.1177_10781552231218999 - Supplemental material for Use of venetoclax in t(11;14) positive relapsed/refractory multiple myeloma: A systematic review
Supplemental material, sj-docx-2-opp-10.1177_10781552231218999 for Use of venetoclax in t(11;14) positive relapsed/refractory multiple myeloma: A systematic review by Wardah Javed Khan, Mubeen Ali, Sana Hashim, Huma Nawaz, Syeda Nafeesa Hashim, Danish Safi, and Arslan Inayat in Journal of Oncology Pharmacy Practice</p
Teachers' acquaintance with the developmental of pre-school students: a pilot study
Development of a child’s learning begins at home. Parents are the main person to start and to help the physical, social, emotional, language skills and cognitive development of children (Children, 2005; Saturia Amiruddin, Sombuling, & Kiong, 2014; (Nor Hashimah Hashim & Yahya Che Lah, 2007). The developments of these five aspects in accordance with nature are by genes and environment. Psychologists have recognized that no individual has the same rate of growth (Aliza Ali, Sharifah Nor Puteh, & Zamri Mahamod, 2013; Atan Long, 1980; Azizi Yahaya, Halimah Ma’alip, & Zuhaimy Ismail, 2012; Nor Hashimah Hashim & Yahya Che Lah, 2007). (Shahrin Hashim & Yusof Boon, 2008) enhances that the development of each individual is unique and also have stages. Although there development are the same but they have the different levels from each other based on genetic, environment, education and nutrition
Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal
Irrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal
Intercomparison and Assessment of Stand-Alone and Wavelet-Coupled Machine Learning Models for Simulating Rainfall-Runoff Process in Four Basins of Pothohar Region, Pakistan
The science of hydrological modeling has continuously evolved under the influence of rapid advancements in software and hardware technologies. Starting from simple rational formulae for estimating peak discharge and developing into sophisticated univariate predictive models, accurate conversion of rainfall into runoff and the assessment of inherent uncertainty has been a prime focus for researchers. Therefore, alternative data-driven methods have gained widespread attention in hydrology. Moreover, scientists often couple conventional machine learning models with data pre-processing techniques, i.e., wavelet transformation (WT), to enhance modelling accuracy. In this context, this research work attempts to explore the latent linkage between rainfall and runoff in Pothohar region of Pakistan by developing a novel linkage of five streamline techniques of machine learning, including single decision tree (SDT), decision tree forest (DTF), tree boost (TB), multilayer perceptron (MLP), and gene expression modeling (GEP), with a more sophisticated variant of WT, i.e., maximal overlap discrete wavelet transformation (MODWT), for boundary correction of the transformed components of timeseries data. This study also implements these machine learning models in a stand-alone mode for a more comprehensive comparative analysis of performances. Furthermore, the study uses a combined-basin approach that divides Pothohar region into two basins to compensate for the complex topographic division of the study area. The results indicate that MODWT-based DTF outperformed other stand-alone and hybrid models in terms of modeling accuracy. In the first scenario, considering the Bunha-Kahan River basin, MODWT-DTF yielded the highest NSE (0.86) and the lowest RMSE (220.45 mm) and R2 (0.92 at lag order 3 (Lo3)) when transformed with daubechies4 (db4) at level three. While in the Soan-Haro River basin, MODWT-DTF produced the highest accuracy modeling at lag order 4 (Lo4) (NSE = 0.88, RMSE = 21.72 m(3)/s, and R2 = 0.91). The highly accurate performance of 3- and 4-days lagged models reflects the temporal consistency in hydrological response of the study area. The comparison of simple and hybrid model performance indicates up to a 55% increase in modeling accuracy due to data pre-processing with wavelet transformation
Zinc and Potassium Fertilizer Synergizes Plant Nutrient Availability and Affects Growth, Yield, and Quality of Wheat Genotypes
The growth and productivity of wheat crops depend on the availability of essential nutrients such as zinc (Zn) and potassium (K2O), which play critical roles in the plant’s physiological and biochemical processes. This study aimed to investigate the synergizing effect of zinc and potassium fertilizers on uptake of both the nutrients, growth, yield, and quality of the Hashim-08 cultivar and local landrace, during the 2019–2020 growing season in Dera Ismail Khan, Pakistan. The experiment was designed using a split plot pattern in a randomized complete pattern, with main plots for the wheat cultivars and subplots for the fertilizer treatments. Results indicated that both cultivars responded positively to the fertilizer treatments, with the local landrace exhibiting maximum plant height and biological yield, and improved Hashim-08, showing increased agronomic parameters, including the number of tillers and grains and spike length. Application of Zn and K2O fertilizers significantly enhanced agronomic parameters, such as the number of grains per plant, spike length, thousand-grain weight, grain yield, harvest index, Zn uptake of grain, dry gluten content, and grain moisture content, while crude protein and grain potassium remained relatively unchanged. The soil’s Zn and K content dynamics were found to vary among treatments. In conclusion, the combined application of Zn and K2O fertilizers proved beneficial in improving the growth, yield, and quality of wheat crops, with the local landrace exhibiting lower grain yield but greater Zn uptake through fertilizer application. The study’s findings highlight that the local landrace showed good response to the growth and qualitative parameter when compared with the Hashim-08 cultivar. Additionally, the combined application of Zn and K showed a positive relation in terms of nutrient uptake and soil Zn and K content
Benign Cavum Septum Pellucidum Cystic Lesions: A Case Series
A cavum Septum Pellucidum is a cerebrospinal fluid-filled (CSF) cavity between the lateral ventricles and is considered a normal anatomic variant sporadically seen on neuroimaging. While a cavum septum pellucidum is a relatively uncommon incidental neuro-imaging finding, symptomatic cysts of the cavum septum pellucidum are very rare, with only a few cases reported in the literature so far. This study comprises of 6 patients 1 female and 5 males, age ranging from 1-70 years old treated at 2 clinics between 2021-2024 who were being managed by an ongoing process of monitoring through follow-ups and medical measures. These cases would guide future diagnosticians who come across this pathology in patients with limited resources and reluctance for non-pharmacological interventions since it can be difficult to treat something with very little evidenced literature
A study of the priorities selected by public health staff nurses for making home visits to antepartal patients
Thesis (M.S.)--Boston Universit
Safety of the recombinant cholera toxin B subunit, killed whole-cell (rBS-WC) oral cholera vaccine in pregnancy
INTRODUCTION: Mass vaccinations are a main strategy in the deployment of oral cholera vaccines. Campaigns avoid giving vaccine to pregnant women because of the absence of safety data of the killed whole-cell oral cholera (rBS-WC) vaccine. Balancing this concern is the known higher risk of cholera and of complications of pregnancy should cholera occur in these women, as well as the lack of expected adverse events from a killed oral bacterial vaccine. METHODOLOGY/PRINCIPAL FINDINGS: From January to February 2009, a mass rBS-WC vaccination campaign of persons over two years of age was conducted in an urban and a rural area (population 51,151) in Zanzibar. Pregnant women were advised not to participate in the campaign. More than nine months after the last dose of the vaccine was administered, we visited all women between 15 and 50 years of age living in the study area. The outcome of pregnancies that were inadvertently exposed to at least one oral cholera vaccine dose and those that were not exposed was evaluated. 13,736 (94%) of the target women in the study site were interviewed. 1,151 (79%) of the 1,453 deliveries in 2009 occurred during the period when foetal exposure to the vaccine could have occurred. 955 (83%) out of these 1,151 mothers had not been vaccinated; the remaining 196 (17%) mothers had received at least one dose of the oral cholera vaccine. There were no statistically significant differences in the odds ratios for birth outcomes among the exposed and unexposed pregnancies. CONCLUSIONS/SIGNIFICANCE: We found no statistically significant evidence of a harmful effect of gestational exposure to the rBS-WC vaccine. These findings, along with the absence of a rational basis for expecting a risk from this killed oral bacterial vaccine, are reassuring but the study had insufficient power to detect infrequent events. TRIAL REGISTRATION: ClinicalTrials.gov NCT0070941
Lagged Effect Of Macroeconomic Variables On Stock Returns: A Case Of Firm Size
The evidence of lagged effect regarding firm size between macroeconomic factors and stock returns is found with GARCH model for the UAE firms. More precisely, the exchange rate significantly affected stock returns irrespective of size group and lag level. However, a positive effect is observed at lag four and a negative impact on lag five and two for small and large firms. For the majority of the firms in small size, the risk-free rate showed a negative lagged effect on stock returns; however, for the majority of the firms in large size, it showed a positive lagged effect on stock returns. Inflation also showed a significant effect on stock returns on each lag level except for large firms where at lag fiveit is insignificant. Moreover, as the lags increase from 1- 4 and size from small to large, the negative effect of inflation converts to a positive effect on stock returns. The lag effect of real activity showed both positive and
negative impacts on small firms’ relatively larger stock returns than big firms. Money supply showed a significant positive impact on stock returns of all firms irrespective of the size group; however, this relationship is even more prominent at lag five. Finally, the oil prices showed a positive effect on stock returns (large size) which further maximizes at lag two; whereas, a negative maximization takes place at lag three. Hence, investors can make informed and effective decisions, and UAE policymakers developed effective measures to control and promote macroeconomic growth and stability
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