Study of Flood Impact Handling in Pekalongan District

The flood disaster that occurred in Pekalongan district in February 2021 was caused by the high intensity of rain for one week with rainfall >50 mm/day and the ebb and flow of sea water due to tides reaching 0.9-1.1 meters. Other problems due to flooding in Pekalongan district are change in land use, land subsidence, waste, erosion-sedimentation, as well as operation and maintenance factors. Losses due to floods cause material and building losses and traffic conditions are paralyzed. The method used in this research is primary and secondary data collection, descriptive qualitative data processing by describing understanding, research approach with field observations. Flood handling that has been carried out is by adding an emergency sliding door to the drainage, procuring a mobile water pump with a capacity of 250 liters/second, a CCSP (Corrugated Concrete Sheet Pile) embankment, rehabilitation of the Bremi River floodgate, construction of a Mrican pump house with a capacity of 8×2 m3/second, and construction of a 2,200 meter long Silempeng earthen embankment. The emergency handling that was carried out during the floods of February 2021 was the opening of the Long Storage Silempeng-Sengkarang and the preparation of sandbags and large sacks for emergency handling.

Development and Initial feasibility of an Online Cognitive Behavioral Group Intervention for COVID-19 Related Distress

Objective: The COVID-19 pandemic has resulted in an increase in adverse psychological outcomes world-wide. This paper discusses the development of a manualised online group Cognitive Behavioral Therapy intervention in a secondary care setting targeting the maintenance factors of COVID-19 related distress. Method: This paper details (i) the development of the intervention using the six steps in quality intervention development (6SQuID; Wight, Wimbush, Jepson & Doi, 2016) methodology (ii) a mixed-method feasibility study exploring a manualised online group Cognitive Behavioral Therapy intervention targeting the maintenance factors of COVID-19 related distress.Results: Using the 6SQuID methodology, a theoretical coherent, novel intervention, which did not replicate existing treatment designs, was developed. In relation to feasibility, engagement with this remote group program was poor. There were low levels of engagement in online data-gathering, making it difficult to ascertain indicators of effectiveness. In relation to acceptability, retention rates of participants were high. Participants described a high level of treatment appropriateness and positive post-intervention change.Conclusion: A theoretically coherent manualised treatment was developed. It did not meet initial assessments of feasibility, though it did meet qualitative and quantitative measures of acceptability.

Epigenetic machinery is functionally conserved in cephalopods

Epigenetic regulatory mechanisms are divergent across the animal kingdom, yet little is known about the epigenome in non-model organisms. Unique features of cephalopods make them attractive for investigating behavioral, sensory, developmental and regenerative processes, but using molecular approaches in such studies is hindered by the lack of knowledge about genome organization and gene regulation in these animals. We combined bioinformatic and molecular analysis of Octopus bimaculoides to identify gene expression signatures for 12 adult tissues and a hatchling, and investigate the presence and pattern of DNA methylation and histone methylation marks across tissues. This revealed a dynamic gene expression profile encoding several epigenetic regulators, including DNA methylation maintenance factors that were highly conserved and functional in cephalopods, as shown by detection of 5-methyl-cytosine in multiple tissues of octopus, squid and bobtail squid. WGBS of octopus brain and RRBS from a hatchling revealed that less than 10% of CpGs are methylated, highlighting a non-random distribution in the genome of all tissues, with enrichment in the bodies of a subset of 14,000 genes and absence from transposons. Each DNA methylation pattern encompassed genes with distinct functions and, strikingly, many of these genes showed similar expression levels across tissues. In contrast to the static pattern of DNA methylation, the histone marks H3K27me3, H3K9me3 and H3K4me3 were detected at different levels in diverse cephalopod tissues. This suggests the methylome and histone code cooperate to regulate tissue specific gene expression in a way that may be unique to cephalopods.

Clinical Case of a Child with Algoneurodystrophy

A clinical case of a 12-year-old female child with anxiety symptoms and a diagnosis of Algoneurodystrophy in the left hand is presented. The psychological assessment was carried out using the following instruments: observation, psychological interview, Wechsler Intelligence Scale for Children (WISC-III), State/Trait Anxiety Questionnaire for children, and Conners Scales for parents and teachers. The intervention aimed to reduce anxiety levels, promote self-esteem, and alleviate the child's grief. For this purpose, a cognitive-behavioral intervention was carried out with the child and their parents. Through education, the child's parents were alerted to the need to express the feeling of loss, providing an environment for the resolution of the grieving process of all family members. Furthermore, they were also warned about the maintenance factors of the child's anxiety symptoms, such as the issue of high parental demand. As a result, it can be concluded that good therapeutic gains were seen, translating into the resolution of the child's problems and, consequently, increasing their psychological well-being.

The analysis of the impact of environmental factors on turbine performance, develpoment of the models relating the periods between maintenances with selected maintenance factors

There are currently around 18,000 commissioned Gas Turbines in use worldwide, with almost 7,500 long-term service agreements[1]. At the same time, orders for new units increase year by year, and after a decrease in production in 2020 from 353 to 328 new units, from 2022 onwards, the level is planned to rise to the previous level of growth. Gas turbines operate worldwide and are exposed to variations in environmental conditions, such as changes in humidity, temperature, and salinity, which can significantly affect the efficiency and faster degradation of individual components. Based on the unit's maintenance report, there are more than 1,940 event alerts annually. A need exists to create a more dynamic analytical and numerical model that determines the impact of environmental variables on gas turbine stability. It is necessary to analyze and improve existing reliability models, which vary due to configurations and the impact of working conditions. The first step should be an analysis of the impact of environmental factors on turbine performance. This paper describes how the maintenance and inspection model developed from an average value over time model to a model tracking the actual degradation of gas turbines. It includes a comparison ofthree models used in the research, considering the developed methodology for selecting input parameters, their correlation, and their appropriateness for use in further analyses.

Targeting Indoleamine 2,3-Dioxygenase 1: Fighting Cancers via Dormancy Regulation

The connection between indoleamine 2,3-dioxygenase 1 (IDO1) and tumour dormancy – a quiescent state of tumour cells which has been consistently linked to metastasis and cancer recurrence – is rarely discussed despite the pivotal role of IDO1 in cancer development and progression. Whilst the underlying mechanisms of IDO1-mediated dormancy are elusive, we summarize the IDO1 pathways which potentially contribute to dormancy in this review. Critically, distinct IDO1 activities are involved in dormancy initiation and maintenance; factors outside the well-studied IDO1/kynurenine/aryl hydrocarbon receptor axis, including the mammalian target of rapamycin and general control nonderepressible 2, appear to be implicated in dormancy. We also discuss various strategies for cancer treatment via regulating IDO1-dependent dormancy and suggest the application of nanotechnology to deliver effective treatment.

Predictive Maintenance for Aircraft Engine Using Machine Learning: Trends and Challenges

This article aims to prove that Machine Learning (ML) methods are effective for Predictive Maintenance (PdM) and to obtain other developing methods that suitable applied on PdM, especially for aircraft engine, and potential method that can apply on future research, and also compared between articles in International and Indonesia institution. Maintenance factors are important to prognostic the states of a machine. PdM is one of the factor strategies based on realtime data to diagnosis a failure of the machine through forecasting remaining useful life (RUL), especially on aircraft machine where the safety is priority due to enormous cost and human life. ML is the technique that accurately prediction through the data. Applied ML on PdM is the huge contribution for saving cost and human life guarantee of safety. This work provides the literature survey for recent research which trends and challenges on PdM of aircraft engine using ML that compared the research from international and Indonesia from 2016 to 2021. Result of this work shows that ML method, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) are the best method to calculate PdM with more than 99% on rate accuracy, and low level of Indonesia institution research which focused on PdM on aircraft engine using ML