scholarly journals THE IMPACTS OF SPOUSES’ EDUCATION AND MATERNAL HEALTH ON FERTILITY IN PAKISTAN: AN ECONOMETRIC ANALYSIS

2021 ◽  
Vol 9 (2) ◽  
pp. 556-571
Author(s):  
Qurra-tul-ain Ali Sheikh ◽  
Muhammad Meraj ◽  
Muhammad Asif Shamim ◽  
Sayma Zia
Keyword(s):  
Maternal Health ◽  
Data Model ◽  
Social Economic ◽  
Control Method ◽  
Data Sets ◽  
High Fertility ◽  
Fertility Rates ◽  
Children's Nutrition ◽  
Health Inputs

Purpose of the study: This paper primarily aims to recognize, develop, and examine the impacts of spouses’ education and maternal health status in cooperation with a variety of other covariates (demographic, social, economic, cultural, and attitudinal) on fertility in Pakistan. Methodology: This study mainly aimed to discover how spouse’s education and maternal health inputs help in controlling high fertility using four data sets of Pakistan Demographic and Health Survey (1990-91, 2006-07, 2012-13 and 2017-18) through count data model (Poisson regression). Main Findings: Our empirical results proved the hypotheses that educated spouses and healthy mothers practice family planning tools (contraceptives) to lower down the total fertility rates. Application of this study: Educated husband and wife will keep their family size smaller to devote more on children’s nutrition, health, and education. In general, rise in intentional birth control method make the education policy more helpful in reducing fertility. Findings draw government attention for embarking on public enlightenment campaigns to generate wakefulness regarding the long-term significance of fertility regulation in Pakistan. Novelty/Originality: The study is one of its kind because it attempted to explore the link among spouse’s education, maternal health inputs, and child’s health outcomes with fertility that could be used to benchmark for additional research in Pakistan.

ON-FARM FORESTRY DEVELOPMENT OPTIONS FOR NORTHLAND

1986 ◽  
pp. 27-32
Author(s):  
J.S. Clark
Keyword(s):  
Joint Ventures ◽  
Low Fertility ◽  
High Fertility ◽  
Financial Returns ◽  
Farm Forestry ◽  
Hill Country ◽  
Financial Position ◽  
On Farm

Agroforests and woodlots offer Northland hill country farmers investment and diversification opportunities. Agroforests have less effect on the "whole farm" financial position than woodlots, especially where a progressive planting regime is adopted and where no further borrowing is required. Establishment and tending costs for agro-forests are lower, and returns come much sooner. The proven opportunity for continued grazing under trees established in this manner, apart from a short post-planting period, further enhances the agroforesty option. Even where there is reluctance on a farmer's part to plant trees on high fertility land, the expected financial returns from agroforests on low and medium fertility land will increase the overall long-term profitability and flexibility of the whole farming operation. Woodlots may be more appropriate on low fertility areas where weed reversion is likely. Joint ventures may be worth considering where farm finances are a limited factor. Keywords: On-farm forestry development, Northland hill country, agroforestry, woodlots, diversification, joint ventures, progressive planting regimes, grazing availability.

Asian Americans and Pacific Islanders: Employment Issues in the United States

2011 ◽  
Vol 9 (1-2) ◽  
pp. 58-69
Author(s):  
Marlene Kim
Keyword(s):  
United States ◽  
Asian Americans ◽  
The United States ◽  
Current Data ◽  
Pacific Islanders ◽  
Native Hawaiians ◽  
Data Sets ◽  
High Poverty ◽  
Unemployment Rates

Asian Americans and Pacific Islanders (AAPIs) in the United States face problems of discrimination, the glass ceiling, and very high long-term unemployment rates. As a diverse population, although some Asian Americans are more successful than average, others, like those from Southeast Asia and Native Hawaiians and Pacific Islanders (NHPIs), work in low-paying jobs and suffer from high poverty rates, high unemployment rates, and low earnings. Collecting more detailed and additional data from employers, oversampling AAPIs in current data sets, making administrative data available to researchers, providing more resources for research on AAPIs, and enforcing nondiscrimination laws and affirmative action mandates would assist this population.

Epidemiological Evidence that Maternal Influenza Contributes to the Aetiology of Schizophrenia

1993 ◽  
Vol 163 (4) ◽  
pp. 522-534 ◽  
Author(s):  
W. Adams ◽  
R. E. Kendell ◽  
E. H. Hare ◽  
P. Munk-Jørgensen
Keyword(s):  
Data Sets ◽  
Time Lags ◽  
Epidemiological Evidence ◽  
Intrauterine Development ◽  
Increased Risk ◽  
Schizophrenic Patients ◽  
The Relationship ◽  
Monthly Incidence ◽  
Maternal Influenza

The epidemiological evidence that the offspring of women exposed to influenza in pregnancy are at increased risk of schizophrenia is conflicting. In an attempt to clarify the issue we explored the relationship between the monthly incidence of influenza (and measles) in the general population and the distribution of birth dates of three large series of schizophrenic patients - 16 960 Scottish patients born in 1932–60; 22 021 English patients born in 1921–60; and 18 723 Danish patients born in 1911–65. Exposure to the 1957 epidemic of A2 influenza in midpregnancy was associated with an increased incidence of schizophrenia, at least in females, in all three data sets. We also confirmed the previous report of a statistically significant long-term relationship between patients' birth dates and outbreaks of influenza in the English series, with time lags of - 2 and - 3 months (the sixth and seventh months of pregnancy). Despite several other negative studies by ourselves and others we conclude that these relationships are probably both genuine and causal; and that maternal influenza during the middle third of intrauterine development, or something closely associated with it, is implicated in the aetiology of some cases of schizophrenia.

scholarly journals Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2281
Author(s):  
Fatemeh Sarhaddi ◽  
Iman Azimi ◽  
Sina Labbaf ◽  
Hannakaisa Niela-Vilén ◽  
Nikil Dutt ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Maternal Health ◽  
Pregnant Women ◽  
Health Monitoring ◽  
Quality Care ◽  
Well Being ◽  
Pregnancy And Postpartum ◽  
Comprehensive Framework ◽  
Specific Health

Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its impacts on the fetus. High-quality care during pregnancy is needed to identify possible complications early and ensure the mother’s and her unborn baby’s health and well-being. Different studies have thus far proposed maternal health monitoring systems. However, they are designed for a specific health problem or are limited to questionnaires and short-term data collection methods. Moreover, the requirements and challenges have not been evaluated in long-term studies. Maternal health necessitates a comprehensive framework enabling continuous monitoring of pregnant women. In this paper, we present an Internet-of-Things (IoT)-based system to provide ubiquitous maternal health monitoring during pregnancy and postpartum. The system consists of various data collectors to track the mother’s condition, including stress, sleep, and physical activity. We carried out the full system implementation and conducted a real human subject study on pregnant women in Southwestern Finland. We then evaluated the system’s feasibility, energy efficiency, and data reliability. Our results show that the implemented system is feasible in terms of system usage during nine months. We also indicate the smartwatch, used in our study, has acceptable energy efficiency in long-term monitoring and is able to collect reliable photoplethysmography data. Finally, we discuss the integration of the presented system with the current healthcare system.

scholarly journals A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

2021 ◽  
Vol 13 (2) ◽  
pp. 164
Author(s):  
Chuyao Luo ◽  
Xutao Li ◽  
Yongliang Wen ◽  
Yunming Ye ◽  
Xiaofeng Zhang
Keyword(s):  
Short Term Memory ◽  
Weather Forecast ◽  
Vital Role ◽  
Data Sets ◽  
Short Term ◽  
Learning Techniques ◽  
Radar Echo ◽  
Hidden States ◽  
Better Than

The task of precipitation nowcasting is significant in the operational weather forecast. The radar echo map extrapolation plays a vital role in this task. Recently, deep learning techniques such as Convolutional Recurrent Neural Network (ConvRNN) models have been designed to solve the task. These models, albeit performing much better than conventional optical flow based approaches, suffer from a common problem of underestimating the high echo value parts. The drawback is fatal to precipitation nowcasting, as the parts often lead to heavy rains that may cause natural disasters. In this paper, we propose a novel interaction dual attention long short-term memory (IDA-LSTM) model to address the drawback. In the method, an interaction framework is developed for the ConvRNN unit to fully exploit the short-term context information by constructing a serial of coupled convolutions on the input and hidden states. Moreover, a dual attention mechanism on channels and positions is developed to recall the forgotten information in the long term. Comprehensive experiments have been conducted on CIKM AnalytiCup 2017 data sets, and the results show the effectiveness of the IDA-LSTM in addressing the underestimation drawback. The extrapolation performance of IDA-LSTM is superior to that of the state-of-the-art methods.

scholarly journals Rearing Trissolcus japonicus and Trissolcus mitsukurii for Biological Control of Halyomorpha halys

Insects ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 787
Author(s):  
Giuseppino Sabbatini-Peverieri ◽  
Christine Dieckhoff ◽  
Lucrezia Giovannini ◽  
Leonardo Marianelli ◽  
Pio Federico Roversi ◽  
...  
Keyword(s):  
Biological Control ◽  
Control Method ◽  
Egg Parasitoids ◽  
Halyomorpha Halys ◽  
Progeny Production ◽  
Asian Origin ◽  
Frequent Use ◽  
Trissolcus Japonicus ◽  
Cumulative Curves

Halyomorpha halys is a severe agricultural pest of Asian origin that has invaded many countries throughout the world. Pesticides are currently the favored control methods, but as a consequence of their frequent use, often disrupt Integrated Pest Management. Biological control with egg parasitoids is seen as the most promising control method over the long-term. Knowledge of the reproductive biology under laboratory conditions of the most effective candidates (Trissolcus japonicus and Trissolcus mitsukurii) for optimizing production for field releases is strongly needed. Rearing of these egg parasitoids was tested by offering three different host supply regimes using new emerged females and aged, host-deprived females in different combinations. Results showed a mean progeny per female ranging from 80 to 85 specimens for T. japonicus and from 63 to 83 for T. mitsukurii. Sex ratios were strongly female biased in all combinations and emergence rates exceeded 94% overall. Cumulative curves showed that longer parasitization periods beyond 10–14 days (under the adopted rearing regimes) will not lead to a significantly increase in progeny production. However, ageing females accumulate eggs in their ovaries that can be quickly laid if a sufficient number of host eggs are supplied, thus optimizing host resources. Our data showed that offering H. halys egg masses to host-deprived female Trissolcus once a week for three weeks allowed its eggs to accumulate in the ovary, providing the greatest number of offspring within a three week span.

scholarly journals LOWER BOUNDS OF CHARACTERISTIC SCALE OF TOPOLOGICAL MODIFICATION OF THE NEWTONIAN GRAVITATION

2012 ◽  
Vol 21 (05) ◽  
pp. 1250048
Author(s):  
L. IORIO
Keyword(s):  
Semimajor Axis ◽  
Data Sets ◽  
Orbital Elements ◽  
Dynamical Models ◽  
Spatial Direction ◽  
Newtonian Gravitation ◽  
Complementary Approach ◽  
Local Modification

We analytically work out the long-term orbital perturbations induced by the leading order of perturbing potential arising from the local modification of the Newton's inverse square law due to a topology ℝ2 × 𝕊1 with a compactified dimension of radius R recently proposed by Floratos and Leontaris. We neither restrict to any specific spatial direction [Formula: see text] for the asymmetry axis nor to particular orbital configurations of the test particle. Thus, our results are quite general. Nonvanishing long-term variations occur for all the usual osculating Keplerian orbital elements, apart from the semimajor axis which is left unaffected. By using recent improvements in the determination of the orbital motion of Saturn from Cassini data, we preliminarily inferred R ≳ 4-6 kau . As a complementary approach, the putative topological effects should be explicitly modeled and solved-for with a modified version of the ephemerides dynamical models with which the same data sets should be reprocessed.

Consistency of long-term marketable yield of carrot and onion cultivars in muck (organic) soil in relation to seasonal weather

2010 ◽  
Vol 90 (5) ◽  
pp. 755-765 ◽  
Author(s):  
M. T. Tesfaendrias ◽  
M. R. McDonald ◽  
J. Warland
Keyword(s):  
Allium Cepa ◽  
Daucus Carota ◽  
Organic Soil ◽  
Data Sets ◽  
Fresh Market ◽  
Marketable Yield ◽  
Daucus Carota L ◽  
Weather Patterns ◽  
The Mean

To identify carrot and onion cultivars that provide consistent marketable yields, we tracked the yields of five fresh market carrot [(Daucus carota L. subsp. sativus (Hoffm.) Arcang.] and six onion (Allium cepa L.) cultivars for at least 13 yr. Relationships between long-term weather variables and marketable yields were also investigated. The effects of cultivar, year and cultivar × year interactions on yield of carrots and onions were assessed. Cultivar and year had significant effects on carrot and onion yields, while the interaction was significant in only one of four data sets of carrot yield. Carrot cv. Cellobunch (95.4 t ha–1) and onion cv. Corona (74.1 t ha–1) had the highest mean marketable yields over the years studied. There was a slight positive correlation between mean yield of the assessed carrots and maximum temperatures in September (r = 0.44). Mean carrot yield was also somewhat negatively correlated with total rainfall in July (r = –0.43) and with number of days with rain in August (r = –0.43) and September (r = –0.44). Most onion cultivars showed stronger relationships between marketable yield and various weather patterns. Marketable yield of onions increased with an increase in the number of days with rainfall in June (r = 0.57). The mean marketable yield of the six onion cultivars decreased in relation to temperatures ≥30°C in June (r = –0.55) and August (r = –0.53). The mean yield of all the onions in the trials was negatively correlated (r = –0.78) with growing degree days (base 5°C, May to August). The results indicated that the data from long-term cultivar trials can be used to identify cultivars that yield well despite seasonal variations in weather. Key words: Daucus carota, Allium cepa, temperature, rainfall

scholarly journals Enhanced Care Assistant Training to Address the Workforce Crisis in Home Care: Changes Related to Job Satisfaction and Career Commitment

2007 ◽  
Vol 8 (2) ◽  
pp. 71-81 ◽  
Author(s):  
Constance L. Coogle ◽  
Iris A. Parham ◽  
Rita Jablonski ◽  
Jason A. Rachel
Keyword(s):  
Job Satisfaction ◽  
Home Care ◽  
Career Commitment ◽  
Management Training ◽  
Data Sets ◽  
Term Care ◽  
Training Models ◽  
Intrinsic Job Satisfaction

Changes in job satisfaction and career commitment were observed as a consequence of a geriatric case management training program focusing on skills development among personal care attendants in home care. A comparison of pretraining and posttraining scores uncovered a statistically significant increase in Intrinsic Job Satisfaction scores for participants 18–39 years of age, whereas levels declined among the group of middle aged participants and no change was observed among participants age 52 and older. On the other hand, a statistically significant decline in Extrinsic Job Satisfaction was documented over all participants, but this was found to be primarily due to declines among participants 40–51 years of age. When contacted 6–12 months after the training series had concluded, participants indicated that the training substantially increased the likelihood that they would stay in their current jobs and improved their job satisfaction to some extent. A comparison of pretraining and posttraining scores among participants providing follow-up data revealed a statistically significant improvement in levels of Career Resilience. These results are discussed as they relate to similar training models and national data sets, and recommendations are offered for targeting future educational programs designed to address the long-term care workforce shortage.

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