Web-based Database Research Articles

Occupational Exposure Assessment Tools in Europe: A Comprehensive Inventory Overview.

ObjectivesThe Network on the Coordination and Harmonisation of European Occupational Cohorts (OMEGA-NET) was set up to enable optimization of the use of industrial and general population cohorts across Europe to advance aetiological research. High-quality harmonized exposure assessment is crucial to derive comparable results and to enable pooled analyses. To facilitate a harmonized research strategy, a concerted effort is needed to catalogue available occupational exposure information. We here aim to provide a first comprehensive overview of exposure assessment tools that could be used for occupational epidemiological studies.MethodsAn online inventory was set up to collect meta-data on exposure assessment tools. Occupational health researchers were invited via newsletters, editorials, and individual e-mails to provide details of job-exposure matrices (JEMs), exposure databases, and occupational coding systems and their associated crosswalks to translate codes between different systems, with a focus on Europe.ResultsMeta-data on 36 general population JEMs, 11 exposure databases, and 29 occupational coding systems from more than 10 countries have been collected up to August 2021. A wide variety of exposures were covered in the JEMs on which data were entered, with dusts and fibres (in 14 JEMs) being the most common types. Fewer JEMs covered organization of work (5) and biological factors (4). Dusts and fibres were also the most common exposures included in the databases (7 out of 11), followed by solvents and pesticides (both in 6 databases).ConclusionsThis inventory forms the basis for a searchable web-based database of meta-data on existing occupational exposure information, to support researchers in finding the available tools for assessing occupational exposures in their cohorts, and future efforts for harmonization of exposure assessment. This inventory remains open for further additions, to enlarge its coverage and include newly developed tools.

Sistem Pakar Mendiagnosa Penyakit Ayam Kampung Dengan Menggunakan Metode Certainty Factor Berbasis Web

Poultry farming in Indonesia is still not successful in meeting some of the domestic needs, including being vulnerable to attacks by dangerous animal diseases. People are also restless because of dangerous diseases from chickens that can be transmitted to humans due to consuming chicken meat that has been infected with the disease. The case study in conducting research to diagnose free-range chicken disease was carried out at the Bang Ari Chicken Farm on Jalan Jamin Ginting Pamen Complex No.14 Padang Bulan, Medan Baru District, Medan City. The required criteria data is the type of disease and symptoms of the disease that attacks native chickens as well as the treatment actions that will be taken against the diseased chickens according to the disease experienced. This study aims to build a web-based expert system in diagnosing free-range chicken diseases using the certainty factor method. From the case example, the results of the calculation of certainty factor on the symptoms of free-range chickens, the disease that has the largest percentage value is P 7, namely Chronic Cough Disease of 97.50%. The system for diagnosing free-range chicken disease was built using a web-based programming language and MySQL database.

Anti-Asian Sentiments During the COVID-19 Pandemic Across 20 Countries: Analysis of a 12-Billion-Word News Media Database

BackgroundUS president Joe Biden signed an executive action directing federal agencies to combat hate crimes and racism against Asians, which have percolated during the COVID-19 pandemic. This is one of the first known empirical studies to dynamically test whether global societal sentiments toward Asians have become more negative during the COVID-19 pandemic.ObjectiveThis study aimed to investigate whether global societal sentiments toward Asians across 20 countries have become more negative, month by month, from before the pandemic (October 2019) to May 2020, along with the pandemic (incidence and mortality rates) and cultural (Hofstede’s cultural dimensions) predictors of this trend.MethodsWe leveraged a 12-billion-word web-based media database, with over 30 million newspaper and magazine articles taken from over 7000 sites across 20 countries, and identified 6 synonyms of “Asian” that are related to the coronavirus. We compiled their most frequently used descriptors (collocates) from October 2019 to May 2020 across 20 countries, culminating in 85,827 collocates that were rated by 2 independent researchers to provide a Cumulative Asian Sentiment Score (CASS) per month. This allowed us to track significant shifts in societal sentiments toward Asians from a baseline period (October to December 2019) to the onset of the pandemic (January to May 2020). We tested the competing predictors of this trend: pandemic variables of incidence and mortality rates measured monthly for all 20 countries taken from the Oxford COVID-19 Government Response Tracker, and Hofstede’s Cultural Dimensions of Individualism, Power Distance, Uncertainty Avoidance, and Masculinity for the 20 countries.ResultsBefore the pandemic in December 2019, Jamaica and New Zealand evidenced the most negative societal sentiments toward Asians; when news about the coronavirus was released in January 2020, the United States and Nigeria evidenced the most negative sentiments toward Asians among 20 countries. Globally, sentiments of Asians became more negative—a significant linear decline during the COVID-19 pandemic. CASS trended neutral before the pandemic during the baseline period of October to November 2019 and then plummeted in February 2020. CASS were, ironically, not predicted by COVID-19’s incidence and mortality rates, but rather by Hofstede’s cultural dimensions: individualism, power distance, and uncertainty avoidance—as shown by mixed models (N=28,494). Specifically, higher power distance, individualism, and uncertainty avoidance were associated with negative societal sentiments toward Asians.ConclusionsRacism, in the form of Anti-Asian sentiments, are deep-seated, and predicated on structural undercurrents of culture. The COVID-19 pandemic may have indirectly and inadvertently exacerbated societal tendencies for racism. Our study lays the important groundwork to design interventions and policy communications to ameliorate Anti-Asian racism, which are culturally nuanced and contextually appropriate.

SugarDrawer: A Web-Based Database Search Tool with Editing Glycan Structures.

In life science fields, database integration is progressing and contributing to collaboration between different research fields, including the glycosciences. The integration of glycan databases has greatly progressed collaboration worldwide with the development of the international glycan structure repository, GlyTouCan. This trend has increased the need for a tool by which researchers in various fields can easily search glycan structures from integrated databases. We have developed a web-based glycan structure search tool, SugarDrawer, which supports the depiction of glycans including ambiguity, such as glycan fragments which contain underdetermined linkages, and a database search for glycans drawn on the canvas. This tool provides an easy editing feature for various glycan structures in just a few steps using template structures and pop-up windows which allow users to select specific information for each structure element. This tool has a unique feature for selecting possible attachment sites, which is defined in the Symbol Nomenclature for Glycans (SNFG). In addition, this tool can input and output glycans in WURCS and GlycoCT formats, which are the most commonly-used text formats for glycan structures.

Effectiveness of Information and Communication Technology on Obesity in Childhood and Adolescence: Systematic Review and Meta-analysis.

BackgroundInternet or mobile device use as a form of information and communication technology (ICT) can be more effective in weight loss and weight maintenance than traditional obesity interventions.ObjectiveThe study aims to assess the effectiveness of child-centered ICT interventions on obesity-related outcomes.MethodsArticles were retrieved from the Cochrane Central Register of Controlled Trials, Embase, and PubMed web-based databases. We selected randomized controlled trials in which the participants were aged <18 years. The primary outcomes were BMI, body weight, BMI z-score, waist circumference, and percentage body fat.ResultsIn total, 10 of the initial 14,867 studies identified in the databases were selected according to the inclusion criteria. A total of 640 participants were included in the intervention group and 619 in the comparator group. Meta-analyses were conducted considering various subgroups (intervention type, comparator type, target participants, mean age, sex, BMI status, and follow-up period). Overall, ICT interventions demonstrated no significant effect on BMI, body weight, BMI z-score, waist circumference, and percentage body fat. Subgroup analyses revealed that the effect of the intervention was statistically significant for the following: web intervention (weighted mean difference [WMD]=−1.26 kg/m2, 95% CI −2.24 to −0.28), lifestyle modification comparator (WMD=−1.75, 95% CI −2.76 to −0.74), intervention involving both boys and girls (WMD=−1.30, 95% CI −2.14 to −0.46), and intervention involving obesity only (WMD=−1.92, 95% CI −3.75 to −0.09).ConclusionsThe meta-analysis results for children with obesity who used the web intervention program confirmed significant effects on BMI reduction compared with lifestyle modification. Evidence from the meta-analysis identified internet technology as a useful tool for weight loss in children with obesity.

CicerSpTEdb: A web-based database for high-resolution genome-wide identification of transposable elements in Cicer species.

Recently, Cicer species have experienced increased research interest due to their economic importance, especially in genetics, genomics, and crop improvement. The Cicer arietinum, Cicer reticulatum, and Cicer echinospermum genomes have been sequenced and provide valuable resources for trait improvement. Since the publication of the chickpea draft genome, progress has been made in genome assembly, functional annotation, and identification of polymorphic markers. However, work is still needed to identify transposable elements (TEs) and make them available for researchers. In this paper, we present CicerSpTEdb, a comprehensive TE database for Cicer species that aims to improve our understanding of the organization and structural variations of the chickpea genome. Using structure and homology-based methods, 3942 C. echinospermum, 3579 C. reticulatum, and 2240 C. arietinum TEs were identified. Comparisons between Cicer species indicate that C. echinospermum has the highest number of LTR-RT and hAT TEs. C. reticulatum has more Mutator, PIF Harbinger, Tc1 Mariner, and CACTA TEs, while C. arietinum has the highest number of Helitron. CicerSpTEdb enables users to search and visualize TEs by location and download their results. The database will provide a powerful resource that can assist in developing TE target markers for molecular breeding and answer related biological questions.Database URL: http://cicersptedb.easyomics.org/index.php

Bibliometrics of Machine Learning Research Using Homomorphic Encryption

Since the first fully homomorphic encryption scheme was published in 2009, many papers have been published on fully homomorphic encryption and its applications. Machine learning is one of the most interesting applications and has drawn a lot of attention from researchers. To better represent and understand the field of Homomorphic Encryption in Machine Learning (HEML), this paper utilizes automated citation and topic analysis to characterize the HEML research literature over the years and provide the bibliometrics assessments for this burgeoning field. This is conducted by using a bibliometric statistical analysis approach. We make use of web-based literature databases and automated tools to present the development of HEML. This allows us to target several popular topics for in-depth discussion. To achieve these goals, we have chosen the well-established Scopus literature database and analyzed them through keyword counts and Scopus relevance searches. The results show a relative increase in the number of papers published each year that involve both homomorphic cryptography and machine learning. Using text mining of articles titles, we have found that cloud computing is a popular topic in this field, which also includes neural networks, big data, and the Internet of Things. The analysis results show that China, the US, and India have generated almost half of all the research contributions in HEML. The citation statistics, keyword statistics, and topic analyses give us a quick overview of the development of the field, which can be of great help to new researchers. It is also possible to apply our methodology to other research areas, and we see great value in this approach.

Sistem Pendukung Keputusan Penentuan Kesesuaian Lahan Tanaman Cengkeh Dengan Metode Profile Matching

Clove is a type of spice plant that has many benefits. The part that is often used from the clove plant is the flower bud. Usually it will go through a drying process before it is finally consumed or used. The method used to determine land suitability for clove plants is the profile matching method. The data used in determining the suitability of land for clove plants was obtained by using observation and interviews with employees at the address of Kuta Galuh Village, Tiga Ndreget District, Karo Regency. The system for determining land suitability for clove plants was built using a web-based programming language and MySQL database. The purpose of this study was to determine the suitability of land for clove plants in Tiga Ndreget District, Karo Regency. Calculation of ranking determination The final result of the profile matching process is ranking. Determination of ranking refers to the results of certain calculations. The results of the calculation of the profile matching method include Kuta Galuh Village with a Final Score of 5.02 Ranking 1, Nari Gunung Village with a Final Score of 4.98 Ranking 2, Tanjung Belang Village with a Final Score of 4.56 Ranking 3.

1201 The Impact of a Spinal Best Practice Tariff on Compliance with The British Spine Registry

Abstract Aim The British Spine Registry (BSR) was introduced in May 2012 to be used as a web-based database for spinal surgeries carried out across the UK. In 2019 NHS England and NHS Improvement introduced a new Best Practice Tariff (BPT) to encourage input of spinal surgical data on the BSR. The aim of our study was to assess the impact of the spinal BPT on compliance with the recording of surgical data on the BSR. Method A retrospective review of data was performed at a tertiary spinal centre, Royal Orthopaedic Hospital Birmingham, between 2018-2020. 3587 patients were included in our study. Data was collated from electronic patient records, theatre operating lists and trust specific BSR data. Results 1684 patients were eligible for BPT. In 2018-19 269/974 (28%) records were complete on the BSR for those that would be eligible for BPT. Following introduction of BPT in 2019, 671/710 (95%) records were complete having filled in the mandatory data (P &amp;lt; 0.01). Patient consent to data collection also improved from 62% to 93%. Email details were present in 43% of patients compared with 68% following BPT introduction. Conclusions Our study found that following the introduction of a BPT, there was a statistically significant improvement in BSR record completion compliance in our unit. The BPT offers a financial incentive which can help generate further income for trusts. National data input into the BSR is vitally important to assess patient outcome following spinal surgery. The BSR can also aid future research in spinal surgery.

ToxDP2 Database: Toxicity prediction of dietary polyphenols

Polyphenols are bioactive substances that minimize the risk of a variety of chronic diseases. Exposure to polyphenol bioactive compounds in our diet has increased across the globe, with amplified expectations from consumers, industry, and regulators centered on the potential benefits and essential safety of these compounds. Several data resources for beneficial properties of dietary polyphenols are present; however, toxicological information remains partial. We present a dynamic web-based database to assess dietary polyphenols' safety and fulfill the toxicity data gaps in the domain of food safety. The database (ToxDP2) comprises 415 dietary polyphenolic compounds, distributed into 15 subclasses with 25,792 collected and predicted data points. This web server facilitates the exploration of polyphenols for divergent applications. The data-driven approach on the ToxDP2 provides researchers with an understanding of polyphenols structure–function-toxicity relationships beneficial for developing nutraceuticals, pharmaceuticals, herbal supplements, and formulations.

Cannabis sativa: From Therapeutic Uses to Micropropagation and Beyond.

The development of a protocol for the large-scale production of Cannabis and its variants with little to no somaclonal variation or disease for pharmaceutical and for other industrial use has been an emerging area of research. A limited number of protocols have been developed around the world, obtained through a detailed literature search using web-based database searches, e.g., Scopus, Web of Science (WoS) and Google Scholar. This article reviews the advances made in relation to Cannabis tissue culture and micropropagation, such as explant choice and decontamination of explants, direct and indirect organogenesis, rooting, acclimatisation and a few aspects of genetic engineering. Since Cannabis micropropagation systems are fairly new fields, combinations of plant growth regulator experiments are needed to gain insight into the development of direct and indirect organogenesis protocols that are able to undergo the acclimation stage and maintain healthy plants desirable to the Cannabis industry. A post-culture analysis of Cannabis phytochemistry after the acclimatisation stage is lacking in a majority of the reviewed studies, and for in vitro propagation protocols to be accepted by the pharmaceutical industries, phytochemical and possibly pharmacological research need to be undertaken in order to ascertain the integrity of the generated plant material. It is rather difficult to obtain industrially acceptable micropropagation regimes as recalcitrance to the regeneration of in vitro cultured plants remains a major concern and this impedes progress in the application of genetic modification technologies and gene editing tools to be used routinely for the improvement of Cannabis genotypes that are used in various industries globally. In the future, with more reliable plant tissue culture-based propagation that generates true-to-type plants that have known genetic and metabolomic integrity, the use of genetic engineering systems including “omics” technologies such as next-generation sequencing and fast-evolving gene editing tools could be implemented to speed up the identification of novel genes and mechanisms involved in the biosynthesis of Cannabis phytochemicals for large-scale production.

The Risk of Infective Endocarditis among COVID-19 Patients with Non-Medical Opioid Use

Patients with opioid use disorder are more likely to get coronavirus disease 2019 (COVID-19). Cardiovascular diseases frequently present in COVID-19 patients and can increase their susceptibility to invasive infectious diseases, such as infective endocarditis (IE). This study examines the difference in IE incidence following COVID-19 diagnosis between individuals with and without non-medical opioid use. De-identified electronic medical records data were retrieved from TriNetX, a web-based database. Patients in the U.S., aged 18-60 years, with a diagnosis of COVID-19 during January 2020 - January 2021 were included in this study. Development of IE was determined within three months after COVID-19 diagnosis. Logistic regression was conducted to estimate the risk of developing IE between COVID-19 patients with and without opioid use after propensity score matching. COVID-19 patients with non-medical opioid use had 6.8 times the risk of developing IE compared with COVID-19 patients without opioid use (95% CI: 5.44, 8.56; p&lt;0.0001) after propensity score matching. Findings suggest a significant risk of IE among COVID-19 patients with a history of non-medical opioid use. It provides objective evidence to account for baseline opioid use in the risk assessment of IE among COVID-19 patients.

The Role of Citizen Science and Deep Learning in Camera Trapping

Camera traps are increasingly one of the fundamental pillars of environmental monitoring and management. Even outside the scientific community, thousands of camera traps in the hands of citizens may offer valuable data on terrestrial vertebrate fauna, bycatch data in particular, when guided according to already employed standards. This provides a promising setting for Citizen Science initiatives. Here, we suggest a possible pathway for isolated observations to be aggregated into a single database that respects the existing standards (with a proposed extension). Our approach aims to show a new perspective and to update the recent progress in engaging the enthusiasm of citizen scientists and in including machine learning processes into image classification in camera trap research. This approach (combining machine learning and the input from citizen scientists) may significantly assist in streamlining the processing of camera trap data while simultaneously raising public environmental awareness. We have thus developed a conceptual framework and analytical concept for a web-based camera trap database, incorporating the above-mentioned aspects that respect a combination of the roles of experts’ and citizens’ evaluations, the way of training a neural network and adding a taxon complexity index. This initiative could well serve scientists and the general public, as well as assisting public authorities to efficiently set spatially and temporarily well-targeted conservation policies.

A Cohort Study on the Prognosis of Patients with Urothelial Carcinoma Using the Miyazaki Urological Cancer Database (MUCD)

Miyazaki Urological Cancer Database (MUCD) is a web-based database containing background, treatment, and prognosis of patients with prostate, renal, and urothelial cancers diagnosed in Miyazaki. We entered information on patients diagnosed with urothelial carcinoma from 2014 to 2018 at 4 of the 17 facilities that diagnose urothelial carcinoma in Miyazaki Prefecture. We analyzed the overall survival for bladder cancer and upper urinary tract cancer, and examined its correlation with the presence of symptoms, urine cytology, and clinical TNM classification. There were 487 patients with urothelial carcinoma, comprising 372 (76%) with bladder cancer and 115 (24%) with upper tract urinary cancer. In the bladder cancer group, 301 (81%) patients had symptomatic disease and 119 (32%) had positive urine cytology. The stage according to the TNM classification was Ta-1N0, T2-4N0, N1-2M0 and M1 in 248 (67%), 94 (26%), 19 (5%) and 11 (3%) patients, respectively. In the upper urinary tract cancers group, 89 (76%) had symptomatic disease and 41 (36%) had positive urine cytology. The stage according to the TNM classification was Ta-1N0, T2-4N0, N1-2M0 and M1 in 45 (39%), 37 (32%), 11 (10%) and 22 (19%) patients, respectively. The 3-year survival rates for bladder and upper urinary tract cancer were 83.4% and 67.8%, respectively. TNM classification (≤T1 vs ≥T2≥) was significantly associated with overall survival (bladder cancer : HR＝7.07, 95% CI＝3.13-16.0, p＜0.0001 ; upper tract urinary cancer : HR＝6.33, 95% CI＝2.13-18.8, p＝0.0009). The prognosis of patients with urothelial carcinoma diagnosed in multiple institutions could be evaluated using MUCD. The clinical T stage was significantly associated with overall survival in patients with bladder cancer and patients with upper urinary tract cancer.

Antioxidant Properties of Ferulic Acid on cardiovascular diseases

Background: As a dietary phytochemical, Ferulic acid (FA) is caused by metabolism between phenylalanine and tyrosine with physiological functions like anti-inflammatory, anti-diabetic, anticancer, antioxidant, antimicrobial and cardioprotective properties. This study aims to investigate FA protective effects on cardiovascular diseases.Methods: We covered references like these, web-based scientific databases, PubMed publications, ScienceDirect and Springer. Recent patent on FA therapeutic function in treatment of cardiovascular diseases potential was evaluated.Results: Studies showed that foods rich in FA prevent hypertension. FA, a free radical scavenger, is an enzyme inhibitor which catalyzes free radical generation and enhances scavenger enzyme activity. As a potent scavenger of free radicals, it dilutes oxidative stress, and reduces elevated blood-pressure by improving endothelial function and increasing bioavailability of this oxide in arterial vasculature. FA can enhance angiogenesis and wound healing.Conclusion: In this review, protective function of FA, an antioxidant compound in some nutrition such as fruits, vegetables, and grains, was discussed in terms of its relationship with cardiovascular diseases. Despite numerous data on FA, its effects on human is not recognized; further clinical studies about therapeutic effects of FA on patients with vascular diseases are required.

Working life, health and well-being of parents: a joint effort to uncover hidden treasures in European birth cohorts.

ObjectiveBirth cohorts collect valuable and under-utilized information on employment and health of parents before and during pregnancy, at birth, and sometimes after birth. In this discussion paper, we examine how these data could be exploited to study the complex relationships and interactions between parenthood, work, and health among parents themselves.MethodsUsing a web-based database of birth cohorts, we summarize information on maternal employment and health conditions and other potentially related variables in cohorts spread throughout Europe. This provided information on what data are available and could be used in future studies, and what was missing if specific questions are to be addressed, exploiting the opportunity to explore work–health associations across heterogenous geographical and social contexts.ResultsWe highlight the many potentialities provided by birth cohorts and identify gaps that need to be addressed to adopt a life-course approach and investigate topics specific to the peri-pregnancy period, such as psychosocial aspects. We address the technical difficulties implied by data harmonization and the ethical challenges related to the repurposing of data, and provide scientific, ecological and economic arguments in favor of improving the value of data already available as a result of a serious investment in human and material resources.ConclusionsThere is a hidden treasure in birth cohorts that deserves to be brought out to study the relationships between employment and health among working parents in a time when the boundaries between work and life are being stretched more than ever before.

Characterization and management of neurological adverse events during immune-checkpoint inhibitors treatment: an Italian multicentric experience.

Neurological immune-related adverse events (nirAEs) are rare toxicities of immune-checkpoint inhibitors (ICI). With the increase of ICI oncological indications, their incidence is growing. Their recognition and management remain nevertheless challenging. A national, web-based database was built to collect cases of neurological symptoms in patients receiving ICI and not attributable to other causes after an adequate workup. We identified 27 patients who developed nirAEs (20 males, median age 69years). Patients received anti-PD1/PDL1 (78%), anti-CTLA4 (4%), or both (19%). Most common cancers were melanoma (30%) and non-small cell lung cancer (26%). Peripheral nervous system was mostly affected (78%). Median time to onset was 43.5days and was shorter for peripheral versus central nervous system toxicities (36 versus 144.5days, p = 0.045). Common manifestations were myositis (33%), inflammatory polyradiculoneuropathies (33%), and myasthenia gravis (19%), alone or in combination, but the spectrum of diagnoses was broad. Most patients received first-line glucocorticoids (85%) or IVIg (15%). Seven patients (26%) needed second-line treatments. At last follow-up, four (15%) patients were deceased (encephalitis, 1; myositis/myasthenia with concomitant myocarditis, 2; acute polyradiculoneuropathy, 1), while seven (26%) had a complete remission, eight (30%) partial improvement, and six (22%) stable/progressing symptoms. ICI treatment was discontinued in most patients (78%). Neurological irAEs are rare but potentially fatal. They primarily affect neuromuscular structures but encompass a broad range of presentations. A prompt recognition is mandatory to timely withheld immunotherapy and administrate glucocorticoids. In corticoresistant or severely affected patients, second-line treatments with IVIg or plasmapheresis may result in additional benefit.

PERANCANGAN SISTEM INFORMASI RESEP PULANG FARMASI RAWAT INAP DENGAN METODE E-PRESSCRIBING PADA RS XYZ

The Hospitals are one of the industries engaged in health services where hospitals are always required to have good, efficient, and quality services. Pharmacy services are one of the activities in hospitals that support quality health services, including affordable clinical pharmacy services for all levels of society, in this case the patient queue at the registration section because registration is done manually. because the dose must be calculated first before being formulated, so the waiting time for the prescription to go home is long. There is duplication of prescriptions or there is drug interaction in one prescription, so we have to confirm with the doctor first, there is a vacancy in the drug stock at the Inpatient Pharmacy, so we have to borrow drugs from another department first, if the other pharmacies don't have the stock of the drug, we have to call the doctor first to change the drug with the same indication, if the doctor doesn't want to change we are forced to buy medicine from outside, in a previous study by Dian Rakasiwi (JKOMA; 2018) in his journal mentioning the design of an e-prescribing system (electronic prescribing) or prescription electronically by using the codeigniter framework in the manufacture of drug prescriptions so that the drug redemption time is more effective and efficient. So that with the Design of Information Systems Waiting Time for Inpatient Pharmacy Discharge Prescriptions with the E-Presscribing Method at XYZ Hospital using the Waterfall method to describe the system, UML (Unified Modeling System) and MySQL are used as Web-based information data storage databases with Codeigniter as a framework, so that Hospitals can improve pharmacy services in terms of minimizing waiting time for prescriptions.

Current status of the environmental monitoring database on the accident at Fukushima Daiichi Nuclear Power Plant

An enormous amount of environmental monitoring data has been acquired by various organisations for the evaluation and implementation of countermeasures to mitigate the effects of the accident at the Fukushima Daiichi Nuclear Power Plant. However, it is difficult to collate, compare, and analyse this data because it was published in different formats at different sites according to the respective objectives of the publishing organisations. Moreover, these organisations have been accumulating data in large volumes for over nine years after the accident. We established procedures to collect this data, convert them into a unified format, classify them according to categories, and make the data accessible on a web-based database system. The database contains environmental monitoring data on air dose rates, ground deposition densities, and concentrations in various environmental samples such as soil, water, and food. This data is being provided not only in numerical format for quantitative analysis but also as distribution maps and time-series graphs for visual understanding. The database system enabled us to spatially and temporally compare large volumes of monitoring data. By using the database functions, characteristics of some representative data in the database was clarified.

Medical device’s regulation in South-East Asian countries: Current status and gap areas

As Medical device application in disease prevention, diagnosis or treatment is evolving to a greater extent; there is a need for regulation to monitor its quality, safety and efficacy. The present article attempts to study the medical device regulation available in eleven South-East Asian World Health Organization (WHO) member countries. The information searched from the available sources reveals that medical device regulation exists in seven countries. Most of the countries follow the International Organization for Standardization (ISO) 13485 for their quality standards in medical devices. Most countries also specified the time frame and authority to which adverse event is to be reported. Countries like India and Thailand have separate Adverse Event reporting forms for the medical device. The present study reveals that there is no separate web-based database for adverse event reporting of medical devices. Therefore, WHO South-East Asian Regulators Network (SEARN) under South East Regulatory Office (SERO) office may provide handholding support to these regions in developing a common software or tool for the management and analysis of signals arising from the adverse events.