scholarly journals Data Migration Technique Options on Reforming Jiwasraya's Existing Database

2021 ◽  
Vol 3 (3) ◽  
pp. 137-142
Author(s):  
Vellyne Tjiam ◽  
William Chrisandy ◽  
Hanna Nadia Savira ◽  
Karel Alexander
Keyword(s):  
High Risk ◽  
Data Migration ◽  
Insurance Policy ◽  
Worst Case ◽  
Bottom Up ◽  
Applied Technology ◽  
Migration Technique

PT Asuransi Jiwasraya has been facing a crisis since 2020, which later probably demand them to reconstruct their insurance policy. Nothing is decided aside from the reconstruction idea. This is a hard task to deal with as there is a high risk to be borne along. In the worst case, bankruptcy awaits. As technology has taken over most industries, including insurance, it is only normal for the company to take advantage of the applied technology. However, it is still unknown whether the database used could help fulfill the mission. Considering loads of data might be higher by year, it will be more efficient to use the integrated database to transfer the whole data into a new-adapted database rather than creating a new one and manually adapt then add the data. This could be done by doing a Bottom-up approach that occurs in two big steps. This is the safest choice now which is handy and possible.

scholarly journals Assessing Diazinon Pollution in the Three Major Rivers Flowing into the Caspian Sea (Iran)

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 335
Author(s):  
Reza Dahmardeh Behrooz ◽  
Abbas Esmaili-sari ◽  
Magdalena Urbaniak ◽  
Paromita Chakraborty
Keyword(s):  
High Risk ◽  
Organophosphorus Pesticides ◽  
Aquatic Organisms ◽  
The United States ◽  
The Caspian Sea ◽  
Worst Case ◽  
Pollution Levels ◽  
Haraz River ◽  
Significant Difference ◽  
Medium Risk

The aim of this study was to investigate the seasonal and spatial variations in the concentrations of a widely used organophosphorous pesticide (OPP), diazinon, and the associated risk posed by this OPP in the surface water from the three largest rivers located in the northern province of Iran: the Haraz, the Talar and the Babolrood rivers. These rivers are located in the agriculture province of Mazandaran, and are exposed to high doses of organophosphorus pesticides, especially diazinon. The concentration of diazinon was determined using gas chromatography, while the potential risk posed by diazinon was elucidated using a Risk Quotient (RQ) calculated for general (RQm) and worst-case (RQex) scenarios. The obtained results demonstrated that the average diazinon concentrations ranged from 41 ± 76 ng/L in the Talar River and 57 ± 116 ng/L in the Haraz River, to 76.5 ± 145 ng/L in the Babolrood River, with a significant difference noted between summer and autumn seasons for all three rivers. For some stations, the concentration of diazinon is higher than the standard guidelines of Australian/New Zealand Guidelines for Fresh and Marine Water Quality (FMWQ) and the United States Criteria Maximum Concentration (CMC). The calculated RQs indicated a medium risk of diazinon, RQm = 0.73 and RQex = 2.27, in the Talar River; RQm = 1.02 and RQex = 2.49 in the Haraz River; and RQm = 1.35 and RQex = 4.54 in the Babolrood River. The overall exposure of diazinon was defined to have a high risk (RQm and RQex > 1); however, the summer sampling revealed a high risk (RQm and RQex > 1), while the autumn had a medium risk (RQm and RQex < 1). The obtained results revealed not only elevated concentrations of diazinon in the studied rivers but most importantly the high risk posed by this OPP for the aquatic organisms and the wellbeing of the whole river ecosystem. The current study showed that development and implementation of appropriate standards and regulations toward diazinon in countries such as Iran are required to reduce the pollution levels and risks related to elevated concentrations of the studied pesticide.

scholarly journals Dissecting autism and schizophrenia through neuroimaging genomics

Brain ◽  
2021 ◽  
Author(s):  
Clara A Moreau ◽  
Armin Raznahan ◽  
Pierre Bellec ◽  
Mallar Chakravarty ◽  
Paul M Thompson ◽  
...  
Keyword(s):  
High Risk ◽  
Psychiatric Symptoms ◽  
Clinical Manifestations ◽  
Autism Spectrum ◽  
Case Control ◽  
Effect Sizes ◽  
Case Control Studies ◽  
Top Down ◽  
Bottom Up ◽  
Genomic Variants

Abstract Neuroimaging genomic studies of autism spectrum disorder and schizophrenia have mainly adopted a ‘top-down’ approach, starting with the behavioural diagnosis, and moving down to intermediate brain phenotypes and underlying genetic factors. Advances in imaging and genomics have been successfully applied to increasingly large case-control studies. As opposed to diagnostic-first approaches, the bottom-up strategy starts at the level of molecular factors enabling the study of mechanisms related to biological risk, irrespective of diagnoses or clinical manifestations. The latter strategy has emerged from questions raised by top-down studies: Why are mutations and brain phenotypes over-represented in individuals with a psychiatric diagnosis? Are they related to core symptoms of the disease or to comorbidities? Why are mutations and brain phenotypes associated with several psychiatric diagnoses? Do they impact a single dimension contributing to all diagnoses? In the review, we aimed at summarizing imaging genomic findings in autism and schizophrenia as well as neuropsychiatric variants associated with these conditions. Top-down studies of autism and schizophrenia identified patterns of neuroimaging alterations with small effect-sizes and an extreme polygenic architecture. Genomic variants and neuroimaging patterns are shared across diagnostic categories suggesting pleiotropic mechanisms at the molecular and brain network levels. Although the field is gaining traction; characterizing increasingly reproducible results, it is unlikely that top-down approaches alone will be able to disentangle mechanisms involved in autism or schizophrenia. In stark contrast with top-down approaches, bottom-up studies showed that the effect-sizes of high-risk neuropsychiatric mutations are equally large for neuroimaging and behavioural traits. Low specificity has been perplexing with studies showing that broad classes of genomic variants affect a similar range of behavioral and cognitive dimensions, which may be consistent with the highly polygenic architecture of psychiatric conditions. The surprisingly discordant effect sizes observed between genetic and diagnostic first approaches underscore the necessity to decompose the heterogeneity hindering case-control studies in idiopathic conditions. We propose a systematic investigation across a broad spectrum of neuropsychiatric variants to identify putative latent dimensions underlying idiopathic conditions. Gene expression data on temporal, spatial and cell type organization in the brain have also considerable potential for parsing the mechanisms contributing to these dimensions phenotypes. While large neuroimaging genomic datasets are now available in unselected populations, there is an urgent need for data on individuals with a range of psychiatric symptoms and high-risk genomic variants. Such efforts together with more standardized methods will improve mechanistically informed predictive modeling for diagnosis and clinical outcomes.

scholarly journals Data Consolidation: A Task Scheduling and Data Migration Technique for Grid Networks

2008 ◽  
Author(s):  
P. Kokkinos ◽  
K. Christodoulopoulos ◽  
A. Kretsis ◽  
E. Varvarigos
Keyword(s):  
Task Scheduling ◽  
Data Migration ◽  
Grid Networks ◽  
Data Consolidation ◽  
Migration Technique

Outcomes in MAGE+ cutaneous squamous cell carcinoma with perineural invasion treated with surgery followed by postoperative radiation therapy.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e21043-e21043
Author(s):  
Mary Stevenson ◽  
Alexis Santana ◽  
Nicole Adell Doudican ◽  
Theresa N Canavan ◽  
Anna C. Pavlick ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Radiation Therapy ◽  
High Risk ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Perineural Invasion ◽  
Cutaneous Squamous Cell Carcinoma ◽  
Postoperative Radiation Therapy ◽  
Worst Case ◽  
Potential Biomarker

e21043 Background: Perineural invasion (PNI) is associated with a high risk for recurrence and metastasis from cutaneous squamous cell carcinoma (cSCC). Recommendations vary regarding use of post-operative radiation therapy (PORT). Biomarkers for poor outcome from cSCC with PNI are lacking. We aimed to evaluate outcomes in high-risk cSCC with PNI treated surgically +/- PORT and to evaluate tissue from the primary tumor to identify biomarkers for highest risk. Methods: We conducted a retrospective chart review of PNI SCC patients seen between 2005 and 2014. We compared outcomes for surgery vs. surgery plus PORT. Gene expression from tumor debulk was evaluated via Nanostring. MAGEA3 function was evaluated using PAM 212 SCC cells in a BALB/c mouse model. CRISPR-Cas9 MAGEA3 PAM 212 knockouts were developed to assess role of MAGEA3 in SCC growth. Results: Thirty-two patients with PNI SCC were identified. All were treated surgically, and 18/32 elected to undergo PORT. Nodal metastases were noted in 5/14 patients who did not undergo PORT, whereas no metastases were noted in any patient who underwent PORT. Thus, surgery plus PORT was associated with better outcome than surgery alone (P < 0.01). Local recurrence was not observed in any patients treated by surgery, including 30 patients treated by Mohs micrographic surgery (MMS). MAGEA3 was highly expressed in PNI SCC. MAGEA3 expression in PAM 212 SCC was associated with tumor growth and increased expression of cyclins A, B, and E. CRISPR-Cas9 MAGEA3 PAM 212 knockouts exhibited reduced growth in BALB/c mice. Conclusions: MAGEA3 expression is increased in human PNI SCC. We can mitigate against worst case outcome with surgery plus PORT. MAGEA3 merits further investigation as a potential biomarker for best candidates for surgery plus PORT.

Huthi crisis will weaken central government in Yemen

2015 ◽  
Keyword(s):  
Saudi Arabia ◽  
Civil War ◽  
High Risk ◽  
Central Government ◽  
Failed State ◽  
Case Scenario ◽  
Worst Case ◽  
Content Type ◽  
International Support ◽  
Wide Scale

Significance The situation in Yemen has deteriorated rapidly after January's takeover of central government by the northern rebel group Ansar Allah, also known as the Huthi movement, and the subsequent resignations of Hadi and Bahah. With tribes and local groups in Sunni-majority areas preparing to resist the Huthi coup, Yemen faces a high risk of wide-scale conflict that could lead towards civil war and failed state status. Impacts In a worst-case scenario, violence would escalate into civil war that assumes a sectarian character and draws in Iran and Saudi Arabia. Al-Qaida will seek to capitalise on the vacuum, increasing attacks on the Huthis to position itself as the defender of Sunni Islam. The Southern Movement would push for secession while other regions could also try to break from Sana'a's control. Foreign powers have limited leverage influence over the Huthis and thus also over the outcome of negotiations. The Huthis may moderate their position due to Yemen's fragile economy, which depends on substantial international support.

Operational State Complexity of Subtree-Free Regular Tree Languages

2016 ◽  
Vol 27 (06) ◽  
pp. 705-724
Author(s):  
Sang-Ki Ko ◽  
Hae-Sung Eom ◽  
Yo-Sub Han
Keyword(s):  
The State ◽  
Tree Automaton ◽  
Top Down ◽  
Tree Language ◽  
Worst Case ◽  
Bottom Up ◽  
State Complexity ◽  
Regular Tree ◽  
Tree Languages

We introduce subtree-free regular tree languages that are closely related to XML schemas and investigate the state complexity of basic operations on subtree-free regular tree languages. The state complexity of an operation for regular tree languages is the number of states that are sufficient and necessary in the worst-case for the minimal deterministic ranked tree automaton that accepts the tree language obtained from the operation. We establish the precise state complexity of (sequential, parallel) concatenation, (bottom-up, top-down) star, intersection and union for subtree-free regular tree languages.

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