Pengaruh Komposisi Glass Fiber Non Dental dan Penambahan Silane terhadap Kekuatan Geser Fiber Reinforced Composite sebagai Retainer Ortodonsi

Retainer dibutuhkan untuk membantu menstabilkan posisi gigi geligi selama proses reorganisasi jaringan periodontal berlangsung. Retainer FRC ortodonsi dikembangkan sebagai alternatif material estetika serta aman bagi pasien alergi terhadap nikel. E-glass fiber lebih sering digunakan sebagai retainer ortodonsi. Penelitian ini bertujuan untuk mengkaji pengaruh komposisi glass fiber non dental dan penambahan silane terhadap kekuatan geser FRC sebagai retainer ortodonsi. Subjek penelitian terdiri dari 9 kelompok perlakuan dengan 3 jenis glass fiber yang berbeda yaitu glass fiber non dental A (LT, Cina), B (CMAX, Cina) dan C (HJ, Cina). Masing-masing glass fiber diberi perlakuan yang bervariasi yaitu tanpa penambahan silane, penambahan silane 1x dan 2x. Subjek penelitian direndam dalam akuades dan disimpan pada suhu 37ºC selama 24 jam sebelum dilakukan uji kekuatan geser dengan menggunakan alat Universal Testing Machine. Hasil penelitian dianalisis variansi dua jalur dan post hoc Tukey untuk mengetahui perbedaan statistik masing-masing kelompok. Hasil penelitian menunjukkan bahwa glass fiber non dental A dengan penambahan 2x silane memiliki rerata kekuatan geser tertinggi (12,72±2,02 MPa) sedangkan glass fiber non dental B tanpa penambahan silane memiliki rerata kekuatan geser terendah (6,96±1,69 MPa). Terdapat perbedaan bermakna antara komposisi fiber maupun penambahan silane terhadap kekuatan geser FRC (p0,05). Berdasarkan hasil penelitian dapat disimpulkan bahwa komposisi SiO2 dan Al2O3 yang tinggi pada glass fiber non dental serta penambahan silane dapat meningkatkan kekuatan geser FRC. The Effect of Non Dental Glass Fiber Composition and Silane Addition on The Shear Bond Strength of Fiber Reinforced Composite as An Orthodontic Retainer. Retainers are required to stabilize the position of the teeth to permit reorganization of periodontal tissue. FRC orthodontic retainer was developed as an alternative material aesthetic and safe for nickel allergic patients. E-glass fiber is commonly used as an orthodontic retainer. The purpose of this study was to assess the effect of non dental glass fiber composition and silanes addition on the shear bond strength of the FRC as an orthodontic retainer. This study consisted of 9 treatment groups with three different types of non dental glass fiber, namely non dental glass fiber A (LT, China), B (CMAX, China) and C (HJ, China). Each glass fiber was given a variation treatment, without silanes, one time and two times of silanes addition. All the samples were stored in distilled water at 37ºC for 24 hours and subsequently tested for shear strength by using Universal Testing Machine.The groups were submitted to two way ANOVA analysis of variance with Tukey post test to verify the statictical difference between groups. The results showed that a non dental glass fiber A with two times of silanes addition has the highest shear bond strength (12,72±2,02 MPa), meanwhile a non dental glass fiber B without silane addition has the lowest shear bond strength (6,96±1,69 MPa). There were significant differences between the composition of glass fiber and the addition of silane toward the shear bond strength of FRC (p0,05). Based on the results of this study concluded that the composition of the high SiO2 and Al2O3 in the non dental glass fiber and the silanes addition can increase the shear bond strength FRC

Standar Ukuran dan Fungsi Ruang Bersama pada Rusunawa Cimindi

STANDAR UKURAN DAN FUNGSI RUANG BERSAMA PADA RUSUNAWA CIMINDI ARFAN FAUZI SUJANA, TEGUH PRASETIA, IMAM AYITURI PRIMADI, LUTHFAN NAZIRA ALKHAIRI, dian duhita Jurusan Teknik Arsitektur, Fakultas Teknik Sipil dan Perencanaan Institut Teknologi Nasional Email : [email protected] ABSTRAK Konsep hunian vertikal seperti apartemen, kondominium dan rumah susun terbentuk akibat meningkatnya kebutuhan tempat tinggal di kota, namun lahan yang tersedia semakin terbatas. Pada konsep hunian vertikal sering sekali ditemukan permasalahan akibat Perubahan pola hunian dari bentuk horisontal menjadi bentuk vertikal, salah satunya adalah penggunaan ruang bersama. Ruang bersama adalah ruang yang dipergunakan bersama, dapat berupa koridor, tangga, ruang terbuka hijau, parkir, dan jalan. Metoda observasi digunakan pada penelitian ini untuk membandingkan ukuran dan fungsi ruang bersama pada Rumah Susun Sederhana Sewa Cimindi dengan standar yang ditetapkan. Ruang bersama sering kali mengalami ketidak sesuaian, baik standar maupun fungsinya yang diakibatkan oleh perbedaan karakter sosial dan budaya penghuni yang berbeda-beda. Hal tersebut mengakibatkan perbedaan cara pandang terhadap penggunaan ruang bersama yang direncanakan untuk memenuhi kebutuhan penghuni rumah susun. Pada Kenyataannya ruang bersama memiliki lebih dari satu fungsi tidak hanya untuk kepentingan publik tapi juga digunakan untuk kepentingan pribadi. Peran seorang Arsitek sangat diperlukan untuk dapat membuat solusi bagaimana ruang bersama dapat digunakan sesuai dengan fungsinya. Kata Kunci : Ruang Bersama, Rumah Susun, Standar dan Fungsi Abstract The concept of vertical housing such as apartments, condominiums, and flats are formed due to the housing needs in the city that is growing but with limited land available. Problems that often found on the concept of vertical housing arising from changes in the occupancy pattern of horizontal formed into a flat shape, one of them is shared space. The shared space is a public space that is used together, in the vertical housing its may include corridors, staircases, open green spaces, parking and roads. Observation method used in this study to compare the shared space at Rusunawa Cimindi with established standards. The shared space often experience a discrepancy, both standard and function caused by social and cultural character different. This resulted in differences in the perception of the use of the shared space planned to meet the needs of residents in the end have more than one function. In fact, the shared space have many function not only for the public interest, but also used for private purposes. The role of an architect is needed to be able to offer a solution how the shared space can be functional according to its function

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Addition of Rice Husk Nanocellulose to the Impact Strength of Resin Base Heat Cured

Background: One of the materials for denture bases is heat-cured acrylic resin (PMMA). This material still lacks impact strength as a mechanical strength property. The addition of reinforcing material is known to increase the mechanical strength of PMMA. One of the reinforcing materials added to PMMA is nano cellulose from rice husks, one of the wastes from agricultural products. Purpose: This study aims to determine rice husk nano cellulose's addition to the PMMA denture base's impact strength. Method: The research sample consisted of six groups, each group consisting of 8 samples selected by simple random. The PI, P2, P3, P4, P5, and K groups were PMMA with 1%, 2%, 3%, 4%, 5% nano cellulose, and without nano cellulose. Result: Mean impact strength test results were 41.50 x 10-3 ± 3.891 J / mm2 for P1, 44.13 x 10-3 ± 3,980 J / mm2 for P2, 45.63 x 10-3 ± 4,438 J / mm2 for P3, 46.87 x 10-3 ± 4,824 J / mm2 for P4, 49.12 x 10-3 ± 4.016 J / mm2 for P5 and 36.25 x 10-3 ± 1.982 J / mm2 for K. One way Anova test results with p-value of 0.000 indicates differences in the six groups (p<0.05). Conclusion: This study concludes that the impact strength value of PMMA with the addition of rice husk nano cellulose has increased compared to the control group without the addition of rice husk nano cellulose

Problematika Ekonomi dan Pandemi Covid-19

Indonesia mengonfirmasi kasus pertama infeksi virus corona penyebab Covid-19 pada awal Maret 2020. Sejak itu, berbagai upaya penanggulangan dilakukan pemerintah untuk meredam dampak dari pandemi Covid-19 di berbagai sektor. Hampir seluruh sektor terdampak, tak hanya kesehatan. Sektor ekonomi juga mengalami dampak serius akibat pandemi virus corona. Pembatasan aktivitas masyarakat berpengaruh pada aktivitas bisnis yang kemudian berimbas pada perekonomian

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundRegular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations.MethodsThe Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model—a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates—with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality—which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds.FindingsThe leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2–100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1–290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1–211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4–48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3–37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7–9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles.InterpretationLong-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere

Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges