SEMINAR NASIONAL INOVASI TEKNOLOGI DAN ILMU KOMPUTER ( 2021 ) TEMA: “Prospek Menjadi Technopreneur Dimasa Pandemi”

Kegiatan Seminar Nasional Inovasi Teknologi dan Ilmu Komputer (SNITIK 2021) merupakan kegiatan yang rutin diadakan Fakultas Teknologi dan Ilmu Komputer, Universitas Prima Indonesia (FTIK UNPRI). Pada awalnya seminar ini dinamakan Semnas FTIK dan dilaksanakan selama 4 tahun, setelah itu namanya diubah menjadi SNITIK dengan ruang lingkup yang lebih luas. Di tahun ketujuh dilaksanakannya Seminar ini, diangkat tema “Prospek Menjadi Technopreneur Dimasa Pandemi.”. Dampak Pandemi Covid-19 sangat mempengaruhi beberapa sektor industri dan usaha global. Selama masa pandemi Covid-19, kebanyakan Customer lebih sering belanja secara online karena dianggap lebih mudah dan praktis. Hal ini yang menunjukkan lapangan usaha sekarang sangat berhubungan erat dengan teknologi. Sehingga perlunya memanfaatkan teknologi dalam mengembangkan model bisnis baru untuk menciptakan peluang usaha. Kondisi ini mendorong industri menggunakan sumber daya manusia lulusan perguruan tinggi yang kompeten dan memiliki jiwa techopreneur

Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021.

BACKGROUND: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS: In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. FUNDING: Bill & Melinda Gates Foundation

MS 117 Guide to Joseph Merrill, MD Papers (1968-2010)

The Joseph Merrill, MD papers consists of meeting minutes, real estate negotiations, surveys, biographical information, and interview transcripts that document the career of Dr. Merrill in internal medicine and pediatrics. Collection totals 1 box and equals cubic foot. Materials are in good condition. See more at MS 117

Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990–2021 : findings from the Global Burden of Disease Study 2021

Funding Information: This project was supported by the Bill & Melinda Gates Foundation. S Afzal acknowledges support from the Department of Community Medicine and Epidemiology, King Edward Medical University, Lahore, Pakistan. A Ahmad acknowledges Shaqra University, Shaqra, Saudi Arabia for supporting this work. A Badawi is supported by the Public Health Agency of Canada. L Belo acknowledges the support from Fundação para a Ciência e a Tecnologia in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. A Fatehizadeh acknowledges support from the Department of Environmental Health Engineering, Isfahan University of Medical Sciences, Isfahan, Iran. S Gaihre acknowledges the Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK for their institutional support. J C Glasbey is supported by a National Institute for Health and Care Research Doctoral Research Fellowship (NIHR300175). V K Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. S Hussain was supported by Operational Program Research, Development and Education project Postdoc2MUNI (number CZ.02.2.69/0.0/0.0/18_053/0016952). S M S Islam is funded by the NHMRC and has received funding from the National Heart Foundation of Australia. N Joseph acknowledges support from the Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India. H Kandel is supported by a Kornhauser Research Fellowship at The University of Sydney, Sydney, NSW, Australia. Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia, Sepang, Malaysia (grant numbers XMUMRF/2020-C6/ITCM/0004]. S L Koulmane Laxminarayana acknowledges institutional support from Manipal Academy of Higher Education, Manipal, India. K Krishan acknowledges non-financial support from UGC Centre of Advanced Study, CAS II, Department of Anthropology, Panjab University, Chandigarh, India. I Landires acknowledges support from Sistema Nacional de Investigación, which is supported by Panama's Secretaría Nacional de Ciencia, Tecnología e Innovación. K Latief acknowledges funding from Taipei Medical University, Taipei, Taiwan for doctoral education during the conduct of this review. D C Malta acknowledges support from Conselho Nacional de Pesquisas (CNPq), Brazil. L Monasta received support from the Italian Ministry of Health (Ricerca Corrente 34/2017) as payments made to the Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy. A Ortiz was supported by Instituto de Salud Carlos III RICORS programme to RICORS2040 (RD21/0005/0001) funded by European Union – NextGenerationEU, Mecanismo para la Recuperación y la Resiliencia and SPACKDc PMP21/00109, FEDER funds. J R Padubidri, A Shetty, B S K Shetty, P H Shetty, and B Unnikrishnan acknowledge the support given by Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India. T Palicz acknowledges support from the National Research, Development and Innovation Office in Hungary (RRF-2.3.1-21-2022-00006, Data-Driven Health Division of National Laboratory for Health Security). G Pereira was supported with funding from NHMRC Project and Investigator Grants (1099655 and 1173991). Z Z Piracha acknowledges the International Center of Medical Sciences Research, Islamabad, Pakistan. Z Quazi Syed acknowledges support from the South Asia Infant Feeding Research Network and Datta Meghe Institute of Higher Education and Research, Wardha, India. A Rahman acknowledges Charles Sturt University, Wagga Wagga, NSW, Australia. U Saeed acknowledges the International Center of Medical Sciences Research, Islamabad, Pakistan. A M Samy acknowledges the support from Ain Shams University, Cairo, Egypt and the Egyptian Fulbright Mission Program. P A Shah acknowledges the support from Bangalore Medical College and Research Institute, part of the Rajiv Gandhi University of Health Sciences, Bangalore, India. M R Tovani-Palone acknowledges support from Saveetha Institute of Medical and Technical Sciences, Chennai, India. D Vervoort is supported by the Canadian Institutes of Health Research Vanier Canada Graduate Scholarship. X Xu is supported by a postdoctoral fellowship funded by the Heart Foundation of Australia (award number 102597) and Scientia Program at the University of New South Wales, Sydney, NSW, Australia. C Yu acknowledges support from the National Natural Science Foundation of China (grant number 82173626). Funding Information: This project was supported by the Bill & Melinda Gates Foundation. S Afzal acknowledges support from the Department of Community Medicine and Epidemiology, King Edward Medical University, Lahore, Pakistan. A Ahmad acknowledges Shaqra University, Shaqra, Saudi Arabia for supporting this work. A Badawi is supported by the Public Health Agency of Canada. L Belo acknowledges the support from Fundação para a Ciência e a Tecnologia in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. A Fatehizadeh acknowledges support from the Department of Environmental Health Engineering, Isfahan University of Medical Sciences, Isfahan, Iran. S Gaihre acknowledges the Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK for their institutional support. J C Glasbey is supported by a National Institute for Health and Care Research Doctoral Research Fellowship (NIHR300175). V K Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. S Hussain was supported by Operational Program Research, Development and Education project Postdoc2MUNI (number CZ.02.2.69/0.0/0.0/18_053/0016952). S M S Islam is funded by the NHMRC and has received funding from the National Heart Foundation of Australia. N Joseph acknowledges support from the Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India. H Kandel is supported by a Kornhauser Research Fellowship at The University of Sydney, Sydney, NSW, Australia. Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia, Sepang, Malaysia (grant numbers XMUMRF/2020-C6/ITCM/0004]. S L Koulmane Laxminarayana acknowledges institutional support from Manipal Academy of Higher Education, Manipal, India. K Krishan acknowledges non-financial support from UGC Centre of Advanced Study, CAS II, Department of Anthropology, Panjab University, Chandigarh, India. I Landires acknowledges support from Sistema Nacional de Investigación, which is supported by Panama's Secretaría Nacional de Ciencia, Tecnología e Innovación. K Latief acknowledges funding from Taipei Medical University, Taipei, Taiwan for doctoral education during the conduct of this review. D C Malta acknowledges support from Conselho Nacional de Pesquisas (CNPq), Brazil. L Monasta received support from the Italian Ministry of Health (Ricerca Corrente 34/2017) as payments made to the Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy. A Ortiz was supported by Instituto de Salud Carlos III RICORS programme to RICORS2040 (RD21/0005/0001) funded by European Union – NextGenerationEU, Mecanismo para la Recuperación y la Resiliencia and SPACKDc PMP21/00109, FEDER funds. J R Padubidri, A Shetty, B S K Shetty, P H Shetty, and B Unnikrishnan acknowledge the support given by Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India. T Palicz acknowledges support from the National Research, Development and Innovation Office in Hungary (RRF-2.3.1-21-2022-00006, Data-Driven Health Division of National Laboratory for Health Security). G Pereira was supported with funding from NHMRC Project and Investigator Grants (1099655 and 1173991). Z Z Piracha acknowledges the International Center of Medical Sciences Research, Islamabad, Pakistan. Z Quazi Syed acknowledges support from the South Asia Infant Feeding Research Network and Datta Meghe Institute of Higher Education and Research, Wardha, India. A Rahman acknowledges Charles Sturt University, Wagga Wagga, NSW, Australia. U Saeed acknowledges the International Center of Medical Sciences Research, Islamabad, Pakistan. A M Samy acknowledges the support from Ain Shams University, Cairo, Egypt and the Egyptian Fulbright Mission Program. P A Shah acknowledges the support from Bangalore Medical College and Research Institute, part of the Rajiv Gandhi University of Health Sciences, Bangalore, India. M R Tovani-Palone acknowledges support from Saveetha Institute of Medical and Technical Sciences, Chennai, India. D Vervoort is supported by the Canadian Institutes of Health Research Vanier Canada Graduate Scholarship. X Xu is supported by a postdoctoral fellowship funded by the Heart Foundation of Australia (award number 102597) and Scientia Program at the University of New South Wales, Sydney, NSW, Australia. C Yu acknowledges support from the National Natural Science Foundation of China (grant number 82173626).Peer reviewedPublisher PD

Production of biogas using biomass

There is a great deal of environment pressure in many parts of the world to as certain how livestock waste can best be handled. Livestock manure, like cow dung, food waste, kitchen waste in the absence of appropriate disposal methods can cause adverse environmental and health problems such as pathogen contaminants, odor, air borne ammonia, greenhouse gases. Anaerobic digestion has been considered as waste to energy technology, and is widely used in the treatment of different organic wastes for example: organic fraction of municipal solid waste, sewage sludge, food waste, animal manure. Anaerobic treatment comprises of decomposition of organic material in the absence of free oxygen and production of methane, carbon dioxide, ammonia and traces of other gases and organic acids of low molecular weight