Political and social determinants of life expectancy in less developed countries: A longitudinal study

EstE livro corrEspondE à primeira experiência didática do Grupo de trabalho desenvolvimento Urbano do conselho latinoamericano de ciências sociais (clAcso), que reúne cerca de quarenta pesquisadores de diferentes instituições da região. Esta experiência tornou-se possível, graças ao fato da proposta deste curso ter sido aprovada no âmbito da cátedra Florestan Fernandes do conselho. completamente desenvolvida através do campus virtual do clAcso, teve, por principal objetivo, estimular a reflexão sobre alguns dos principais eixos teórico-conceituais e empíricos orientadores da análise da urbanização latino-americana

Implementasi Model Pola Asuh Orangtua Untuk Meningkatkan Kemandirian Anak

Penelitian ini mengkaji implementasi Model Pola Asuh Orangtua untuk Meningkatkan Kemandirian Anak (PAO-MKA) di SMP Makassar. Model PAO-MKA dikembangkan oleh Sunarty (2014), dan telah melalui uji validitas ahli dan praktisi/Guru BK, dan hasilnya valid, dan siap diimplemantasikan. Permasalahan penelitian adalah apakah Model PAO-MKA efektif meningkatkan kemandirian anak?. Tujuan penelitian adalah untuk mengetahui keefektifan Model PAO-MKA dalam upaya meningkatkan kemandirian anak. Penelitian ini menggunakan pendekatan kuantitatif, dengan jenis penelitian pra-experimental, model one group pretest-posttes design. Eksperimen dilaksanakan di SMPN 8 Makassar. Subyek penelitian terbagi ke dalam dua kelompok, yakni kelompok anak dan orangtuanya, masing-masing berjumlah 30 orang. Subyek anak diperlukan dalam kaitannya dengan pengukuran tingkat kemandirian anak. Sementara subyek orangtua diperlukan dalam kaitannya dengan implementasi Model PAO-MKA. Data dianalisis dengan uji statistik inferensial, yakni uji t atau uji perbedaan mean. Hasil penelitian menunjukkan bahwa terdapat perbedaan yang positif dan signifikan antara tingkat kemandirian anak sebelum (pretest) dan sesudah (posttest) pelatihan dan penerapan model PAO-MKA. Dengan adanya perbedaan tersebut maka Model PAO-MKA dinyatakan efektif meningkatkan kemandirian anak

Effects of Ambient Ozone Exposure on Mail Carriers’ Peak Expiratory Flow Rates

The extent to which occupational exposure to ozone in ambient air can affect lung function remains unclear. We conducted a panel study in 43 mail carriers by measuring their peak expiratory flow rates (PEFRs) twice daily for 6 weeks in 2001. The daily exposure of each mail carrier to O(3), particulate matter < 10 μm in aerodynamic diameter (PM(10)), and nitrogen dioxide was estimated by one air monitoring station in the center of the mail carrier’s delivery area. Hourly concentrations of air pollutants during their exposure periods were 6–96 ppb for O(3), 11–249 μg/m(3) for PM(10), and 14–92 ppb for NO(2). Linear mixed-effects models were used to estimate the association between air pollution exposures and PEFR after adjusting for subject’s sex, age, and disease status and for temperature and humidity. We found that night PEFR and the deviation in night PEFR were significantly decreased in association with 8-hr O(3) exposures with a lag 0–2 days and by daily maximum O(3) exposures with a lag of 0–1 day in our multipollutant models. By contrast, neither PM(10) nor NO(2) was associated with a PEFR reduction. Daily 8-hr mean concentrations of O(3) had greater reduction effects on PEFR than did daily maximum concentrations. For a 10-ppb increase in the 8-hr average O(3) concentration, the night PEFR was decreased by 0.54% for a 0-day lag, 0.69% for a 1-day lag, and 0.52% for a 2-day lag. We found that an acute lung function reduction occurs in mail carriers exposed to O(3) concentrations below current ambient air quality standards and occupational exposure limits

Suppressor of K+ transport growth defect 1 (SKD1) interactswith RING-type ubiquitin ligase and sucrose non-fermenting1-related protein kinase (SnRK1) in the halophyte ice plant

SKD1 (suppressor of K+ transport growth defect 1) is an AAA-type ATPase that functions as a molecular motor. It was previously shown that SKD1 accumulates in epidermal bladder cells of the halophyte Mesembryanthemum crystallinum. SKD1 knock-down Arabidopsis mutants showed an imbalanced Na+/K+ ratio under salt stress. Two enzymes involved in protein post-translational modifications that physically interacted with McSKD1 were identified. McCPN1 (copine 1), a RING-type ubiquitin ligase, has an N-terminal myristoylation site that links to the plasma membrane, a central copine domain that interacts with McSKD1, and a C-terminal RING domain that catalyses protein ubiquitination. In vitro ubiquitination assay demonstrated that McCPN1 was capable of mediating ubiquitination of McSKD1. McSnRK1 (sucrose non-fermenting 1-related protein kinase) is a Ser/Thr protein kinase that contains an N-terminal STKc catalytic domain to phosphorylate McSKD1, and C-terminal UBA and KA1 domains to interact with McSKD1. The transcript and protein levels of McSnRK1 increased as NaCl concentrations increased. The formation of an SKD1–SnRK1–CPN1 ternary complex was demonstrated by yeast three-hybrid and bimolecular fluorescence complementation. It was found that McSKD1 preferentially interacts with McSnRK1 in the cytosol, and salt induced the re-distribution of McSKD1 and McSnRK1 towards the plasma membrane via the microtubule cytoskeleton and subsequently interacted with RING-type E3 McCPN1. The potential effects of ubiquitination and phosphorylation on McSKD1, such as changes in the ATPase activity and cellular localization, and how they relate to the functions of SKD1 in the maintenance of Na+/K+ homeostasis under salt stress, are discussed

降雨對南橫公路 50至110K 沿線山崩潛勢之影響

本研究蒐集中央地質調查所製作之2004 年敏督利颱風、2009 年莫拉克颱風及2011 年7 月19 日豪雨三場事件的事件型山崩目錄作為分析山崩組樣本，運用統計方法中的羅吉斯迴歸法建立潛在因子之山崩潛勢分析模式，首先初選高程類因子、坡度類因子、坡向、全坡高、岩性、地形粗糙度、坡度粗糙度、平面曲率、剖面曲率、總曲率、道路距、水系距等潛在因子，投入因子複選流程，篩選出不同事件下對於山崩鑑別能力較好的潛在因子。再加入各事件不同延時下的平均降雨強度作為誘發因子，將道路沿線之山崩潛勢值分為穩定、低、中及高崩塌潛勢區四個等級，探討降雨對於山崩潛勢分析的影響。整體結果顯示，於本研究山崩潛勢分析流程下，誘發因子的加入可增進模式對長延時高強度降雨型態 (如：莫拉克颱風事件) 的預測能力，針對中延時高強度與短延時中強度降雨型態模式，模式以潛在因子便足以維持一定的預測水準，誘發因子的加入對預測能力的提生並無顯著影響。This study uses the inventories of landslides during typhoon Mindulle, Morakot, and the 07/19 rainfall event established by Central Geological Survey as landslide data. The elevation, slope, slope aspect, slope high, lithology, terrain roughness, slope roughness, plan curvature, profile curvature, total curvature, distance from the road, and distance from the river are first chosen as the landslide causative factors, based on previous studies. Secondly, calibration and selection procedures are performed to efficiently select the factors. Logistic regression method is used to establish the landslide susceptibility model. Furthermore, the rainfall intensities of different rainfall durations are used as a landslide triggering factor in different rainfall events. The maps of potential landslides are delineated to discuss the influence of rainfall on landslide susceptibility analysis. The landslide susceptibilities are separated into four levels, including high, medium, low, and steady. According to the results, the model adopting the proposed rainfall factor increased the landslide predictive capability for long-duration and high-intensity rainfall events, such as the Morakot event. For the other two events, similar landslide predictive capabilities are obtained with and without applying the landslide causative factor in the model

ZigBee Wireless Sensor Nodes with Hybrid Energy Storage System Based on Li-Ion Battery and Solar Energy Supply

Most ZigBee sensor networks to date make use of nodes with limited processing, communication, and energy capabilities. Energy consumption is of great importance in wireless sensor applications as their nodes are commonly battery-driven. Once ZigBee nodes are deployed outdoors, limited power may make a sensor network useless before its purpose is complete. At present, there are two strategies for long node and network lifetime. The first strategy is saving energy as much as possible. The energy consumption will be minimized through switching the node from active mode to sleep mode and routing protocol with ultra-low energy consumption. The second strategy is to evaluate the energy consumption of sensor applications as accurately as possible. Erroneous energy model may render a ZigBee sensor network useless before changing batteries. In this paper, we present a ZigBee wireless sensor node with four key modules: a processing and radio unit, an energy harvesting unit, an energy storage unit, and a sensor unit. The processing unit uses CC2530 for controlling the sensor, carrying out routing protocol, and performing wireless communication with other nodes. The harvesting unit uses a 2W solar panel to provide lasting energy for the node. The storage unit consists of a rechargeable 1200 mAh Li-ion battery and a battery charger using a constant-current/constant-voltage algorithm. Our solution to extend node lifetime is implemented. Finally, a long-term sensor network test is used to exhibit the functionality of the solar powered system

ZigBee Wireless Sensor Nodes with Hybrid Energy Storage System Based on Li-Ion Battery and Solar Energy Supply

Most ZigBee sensor networks to date make use of nodes with limited processing, communication, and energy capabilities. Energy consumption is of great importance in wireless sensor applications as their nodes are commonly battery-driven. Once ZigBee nodes are deployed outdoors, limited power may make a sensor network useless before its purpose is complete. At present, there are two strategies for long node and network lifetime. The first strategy is saving energy as much as possible. The energy consumption will be minimized through switching the node from active mode to sleep mode and routing protocol with ultra-low energy consumption. The second strategy is to evaluate the energy consumption of sensor applications as accurately as possible. Erroneous energy model may render a ZigBee sensor network useless before changing batteries. In this paper, we present a ZigBee wireless sensor node with four key modules: a processing and radio unit, an energy harvesting unit, an energy storage unit, and a sensor unit. The processing unit uses CC2530 for controlling the sensor, carrying out routing protocol, and performing wireless communication with other nodes. The harvesting unit uses a 2W solar panel to provide lasting energy for the node. The storage unit consists of a rechargeable 1200 mAh Li-ion battery and a battery charger using a constant-current/constant-voltage algorithm. Our solution to extend node lifetime is implemented. Finally, a long-term sensor network test is used to exhibit the functionality of the solar powered system

Modeling Typhoon Event-Induced Landslides Using GIS-Based Logistic Regression: A Case Study of Alishan Forestry Railway, Taiwan

This study develops a model for evaluating the hazard level of landslides at Alishan Forestry Railway, Taiwan, by using logistic regression with the assistance of a geographical information system (GIS). A typhoon event-induced landslide inventory, independent variables, and a triggering factor were used to build the model. The environmental factors such as bedrock lithology from the geology database; topographic aspect, terrain roughness, profile curvature, and distance to river, from the topographic database; and the vegetation index value from SPOT 4 satellite images were used as variables that influence landslide occurrence. The area under curve (AUC) of a receiver operator characteristic (ROC) curve was used to validate the model. Effects of parameters on landslide occurrence were assessed from the corresponding coefficient that appears in the logistic regression function. Thereafter, the model was applied to predict the probability of landslides for rainfall data of different return periods. Using a predicted map of probability, the study area was classified into four ranks of landslide susceptibility: low, medium, high, and very high. As a result, most high susceptibility areas are located on the western portion of the study area. Several train stations and railways are located on sites with a high susceptibility ranking

ZigBee Wireless Sensor Nodes with Hybrid Energy Storage System Based on Li-Ion Battery and Solar Energy Supply

Most ZigBee sensor networks to date make use of nodes with limited processing, communication, and energy capabilities. Energy consumption is of great importance in wireless sensor applications as their nodes are commonly battery-driven. Once ZigBee nodes are deployed outdoors, limited power may make a sensor network useless before its purpose is complete. At present, there are two strategies for long node and network lifetime. The first strategy is saving energy as much as possible. The energy consumption will be minimized through switching the node from active mode to sleep mode and routing protocol with ultra-low energy consumption. The second strategy is to evaluate the energy consumption of sensor applications as accurately as possible. Erroneous energy model may render a ZigBee sensor network useless before changing batteries. In this paper, we present a ZigBee wireless sensor node with four key modules: a processing and radio unit, an energy harvesting unit, an energy storage unit, and a sensor unit. The processing unit uses CC2530 for controlling the sensor, carrying out routing protocol, and performing wireless communication with other nodes. The harvesting unit uses a 2W solar panel to provide lasting energy for the node. The storage unit consists of a rechargeable 1200 mAh Li-ion battery and a battery charger using a constant-current/constant-voltage algorithm. Our solution to extend node lifetime is implemented. Finally, a long-term sensor network test is used to exhibit the functionality of the solar powered system

Factors associated with mobile health information seeking among Singaporean women

This study examined effects of age and social psychological factors on women’s willingness to be mobile health information seekers. A national survey of 1,878 Singaporean women was conducted to obtain information on women’s mobile phone usage, experiences of health information seeking, and appraisals of using mobile phones to seek health information. Results showed that young, middle-aged, and older women exhibited distinct mobile phone usage behaviors, health information-seeking patterns, and assessments of mobile health information seeking. Factors that accounted for their mobile information-seeking intention also varied. Data reported in this study provide insights into mobile health interventions in the future