Miracle-dz/UniFAR-FTUs huggingface dataset:
Course of maternal anxiety disorders and their impact on child development in toddlers: a study with young mothers

ABSTRACT This study aimed to verify the course of maternal anxiety disorders and its impact on child development of toddlers. This is a cohort study that followed 497 pregnant adolescents who received antenatal care in the public health service in a southern city in Brazil. We assessed maternal anxiety disorders during gestation, postpartum, and when children were 2–3 years old and we evaluated child development in toddlerhood. We performed a structured modelling approach to compare the effect of three different hypothesized life course models (accumulation, critical period, and mobility) of maternal anxiety on child development. The course of maternal anxiety manifests in different ways in each dimension of child development. However, only child cognitive development was directly impacted by maternal anxiety disorders (B −4.05; 95%CI −7.16; −0.93). Research on the impact of life course models of anxiety disorders is needed to help the implementation of interventions to prevent future negative outcomes.
Dynamics of Water Accounting Balance for Assessing Water Stress Vulnerability Considering Social Aspects

To advance proper planning, water accounting (WA) could provide the possibility of linking physical and operational data to their interdisciplinary attributes. In its new form, WA, combined with a dynamic model considering socio-economic aspects, is a valuable tool for rectifying today's water issues. The social water-accounting-based system dynamics (SWA-SD) provides a feedback-based platform to better support flexible decision-making. Analyzing the indicators that correspond to water security in the context of DPSIR (driving force-pressure-state-impact-response) and SWA-SD combined with principal component analysis (PCA) for identifying data patterns is applied to a generic study area suffering from water stress to assess the environmental, economic, and social vulnerabilities. The water accounting has to be based on water balance data (called water accounting balance). As a practical solution to generate water balance data, a time series by the use of basic climatic and hydrologic data is synthesized. According to the results, the water stress and urbanization index were increased by a factor of 43% and 64% in 2020 during a 20-year time horizon, respectively, which is alarming for the region. Moreover, the economic and social water resources vulnerability shows an upward trend, and the environmental component shows many highs (as much as 2.24) and lows (as low as 0.73) due to different supply measures responded to the increasing demands. This study provides a basis that can be replicated for other developing regions to quantify this type of important planning information and for implementing different socially sensitive triggers and technically feasible to measure water vulnerabilities.
ENGAGEMENT AND INVOLVEMENT OF PERSONNEL DURING REMOTE WORK

The COVID-19 pandemic has altered the majority of the world’s organisations through making remote work a part and parcel of everyday life. The number of people working remotely has increased substantially creating a challenge for the organisations to manage and involve their personnel. Engagement and involvement of the personnel are major factors contributing to a positive outcome of the remote work processes. The aim of this research paper is to establish what the engagement and involvement of the personnel are while practising remote work in the Latvian financial institutions. This research paper put forward the following issues for exploration: what is the engagement of the financial institutions’ personnel in their work while working remotely? What is the involvement of the financial institutions’ personnel in their work while working remotely? Is there a link between engagement and involvement of the financial institutions’ personnel during remote work? This paper explores the definitions of engagement and involvement by various authors and many forms of remote work putting emphasis on expansion of remote work due to the pandemic. The research made use of 3 surveys: a survey on the engagement of personnel during remote work, a survey on involvement of the personnel during remote work and a survey on the personnel’s opinion on remote work compiled by the authors of this research paper. There were 98 full-time employees of financial institutions participating in the research who were transferred from office jobs to a form of remote work during the COVID-19 pandemic. The results of the research demonstrate that only a fraction of the financial institutions’ personnel were engaged and involved during their remote work and that institutions had to resort to additional measures in order to promote involvement and engagement of the rest of the personnel and attain better operational results. The major problems highlighted by the results of the research are: insufficient internal information exchange and co-operation. The personnel feel responsible for the performance of their work, but admit to lacking inspiration that would foster their engagement. They also acquired negative experiences while working remotely. The results of the research identify a need for further research on the significance of the internal culture and communication of financial organisations for the promotion of involvement and engagement of personnel during remote work.
Reproduction of artificial head recordings through loudspeakers

Good results are obtained with artificial-head recording techniques when the directional aspects are considered. Unfortunately the system is traditionally restricted to reproduction through headphones, since reproduction through loudspeakers introduces detrimental crosstalk between channels. Different analog approaches have been made to the can- cellation of crosstalk. However, digital signal processing opens up new opportunities. A system has been constructed in which a digitally filtered combination of the two channels is fed to each loudspeaker in a traditional stereo setup. The crosstalk is effectively canceled while the good imaging properties of headphone reproduction are preserved. The effect is unexpectedly independent of head position as long as the distances to the loudspeakers are equal. The system is shown to work in an anechoic room, but it is not formally limited to this. For use in a normal living room, more computing power is needed.
The ‘de-territorialisation of closeness’ - a typology of international successful R&D projects involving cultural and geographic proximity

Although there is a considerable amount of empirical evidence on inter-firm collaborations within technology-based industries, there are only a few works concerned with R&D cooperation by low-tech firms, especially SMEs. Providing further and new evidence based on a recently built database of CRAFT projects, this study analyzes the relationship between technology and proximity in international R&D networks using Homogeneity Analysis by Means of Alternating Least Squares (HOMALS) and statistical cluster techniques. The resulting typology of international cooperative R&D projects highlights that successful international cooperative R&D projects are both culturally/geographically closer and distant. Moreover, and quite interestingly, geographically distant projects are technologically more advanced whereas those located near each other are essentially low tech. Such evidence is likely to reflect the tacit-codified knowledge debate boosted recently by the ICT “revolution” emphasized by the prophets of the “Death of Distance” and the “End of Geography”.
Burn-in discussion group minutes

Bum-In is an integral part of IC production. It serves to screen weak parts and improve the failure rate during early life. On the other hand, this benefit is expensive and might degrade intrinsic properties by the high stress conditions or introduce additional fails due to EOS, ESD, or handling problems. Considerations on how to reduce Burn-In cost and increase screen efficiency lead to concepts like wafer level Bum-In or IDDQ measurements. The goal of the discussion group is to sample the experience with Burn-In among the participants, evaluate recent developments and discuss possible strategy changes to address future needs.
MAINTENANCE CHALLENGES OF MULTI-OWNER MULTI-STOREY RESIDENTIAL BUILDINGS IN LAGOS, NIGERIA

It is noted that in Nigeria, buildings begin to demand for maintenance almost immediately after completion and handing over to users. As a single building belongs to several owners, corporate decision is required in maintaining it. The process of arriving at a workable decision remains a problem in the maintenance of such buildings due to protracted consultation and individual differences. This paper analytically investigates the frequency of maintenance of multi storey buildings compared with single owned building within the area Lagos, Nigeria. This paper examines these processes, the challenges and possible resolution for meeting point of ideas in order to sustain the commonwealth without jeopardizing the interest of any through a field survey. Structured questionnaire and non-participant case study were adopted in collecting quantitative and qualitative data. This study adopted quantitative analysis in form of tables to evaluate the attitude of respondents towards the maintenance of external surface of buildings vis-a-vis painting in the area. Three hundred and eighty four structured questionnaires were administered in six randomly selected Local Government Areas within the study area in April-May, 2012. The findings show that buildings that belong to single owners are better maintained than buildings that belong to multi-owners due to sense of ownership and ability to take decision on maintenance issues swiftly. Multi ownership system requires some level of enlightenment and thorough education in the area. The primary culture of the people in the selected area supports the compound system which multi ownership denies. KEYWORDS: multi- storey, maintenance, multi-owner, residential building, materials, single owner
The barriers to acceptance of statistical methods of quality control in UK manufacturing industry

The work described in this paper is part of a large investigation of the usage of statistical methods of quality control (SQC) in British manufacturing industry. The introduction provides a review of previous work, which revealed that industry in the UK makes surprisingly little use of SQC techniques. These results were so striking that a further investigation was initiated to discover: (i) the ‘barriers to acceptance’ of SQC (ii) a methodology for its successful implementation This paper describes the first phase of this work, which was aimed at discovering the reasons for the low usage of SQC. In summary, the major barrier preventing companies from introducing SQC is lack of knowledge. Whilst this was often not the first reason given, much circumstantial evidence from questionnaires and direct evidence from interviews suggests that decisions are often taken on the basis of very little or no knowledge. Clearly, there is an urgent need to increase awareness and knowledge of SQC.
Envisioning Improved Work Practices and Associated Technology Requirements in the Context of the Broader Socio-technical System

Work practice and technology innovation presents a number of challenges for Human Computer Interaction (HCI) designers. Chief among them is the question of devising suitable HCI methods, for future process and task envisionment and related technology design. Methods must facilitate work practice re-engineering/envisionment and the development of user friendly work tools. Despite the future oriented nature of this activity, and its associated outputs, research must be predicated on a clear model of existing processes, task practices and tools usage. HCI research in both commercial and technology research settings, is undertaken in the context of the broader software development process. As such, HCI methods must deliver clear user requirements for use by Software Developers. Nonetheless, HCI resources may be limited, or the research subject to time constraints impacting on the scope of HCI research. As such, a valid research design which delivers on the core research brief, while taking into account project constraints, is required. HCI design methodologies are used at different points in the software development lifecycle to design new technologies or re-design existing technologies, in the context of both open and closed systems. Typically, open systems involve the performance of a series of work processes requiring both individual and/or group task activities. Usually, these activities require operator interaction with a range of technical (e.g. IT systems) and human agents. Further, such interactions are subject to external influences. In contrast, closed systems are characterized by one to one user interaction with simple software packages in office or home computing settings. These interactions are unaffected by external influences. This chapter focuses on the use of HCI methods in the context of open systems (or sociotechnical systems). Specifically, it investigates methodologies for the envisionment of new or improved task practices and associated technology requirements, taking into account the broader socio-technical context for human machine interaction. First, an overview of the methodological implications of a range of conceptual frameworks, relevant to an understanding of human interaction with computer systems in socio-technical settings is
A Deep Learning Post-Discharge Mortality Prediction Method Considering Diagnosis Information for ICU Patients

Background and Objective: Mortality prediction is widely used to stratify patients into different risk categories and to provide prognosis evaluation. Nowadays, scoring systems, which predict mortality with some scores reflecting the severity of diseases and physiological states of patients in ICU, have been widely applied for in-hospital mortality prediction. Many research works which focus on designing better machine learning models and algorithms for mortality prediction also have achieved great performance. However, it is not enough to make post-discharge prognosis of mortality only with the aid of better models and algorithms while richer patient related information can make big differences. In this study, we propose a deep learning method considering patient diagnosis information for post-discharge prognosis of mortality. This method can help to significantly improve the performance of prediction. Further more, we propose a method of calculating disease Shapley values to evaluate the mortality risk brought by disease factors. Methods: Deep learning models including long short-term memory (LSTM) and temporal convolutional network (TCN) are trained with patient physiological time series data and diagnosis information of different prevalence to predict post-discharge mortality risk of different time windows. Disease Shapley values to evaluate the mortality risk brought by disease factors are the weighted average of marginal contributions of diseases to patient mortality. Experiments of several post-discharge mortality prediction tasks of different time windows are conducted on the large freely accessible MIMIC-III dataset. To provide more sufficient comparison, the diagnosis information is also introduced for traditional machine learning models. Results: In our experiment, LSTM achieves highest AUROC and the improvements of which are 8.67%, 9.68%, 13.33%, 12.32% and 12.25% with the help of diagnosis information for five post-discharge mortality prediction tasks of different time window. Several patient examples are shown to present the mortality risk brought by disease factors, of which the analysis results are in line with clinical experiences. Conclusions: In general, our proposed method can improve performance of ICU patient post-discharge mortality prediction and help to evaluate how much do different kinds of diseases which a patient suffers from increase his mortality, thus providing support for clinical decisions.
Projecting the Potential Distribution of Glossina morsitans (Diptera: Glossinidae) under Climate Change Using the MaxEnt Model

Simple Summary Glossina morsitans is a species of tsetse flies and a vector for Human African Trypanosomiasis, which is a severe parasitic infectious illness that can lead to death unless treated. At present, the G. morsitans are mainly found in sub-Saharan Africa. But modifications of its distribution undergoing as a result of climate change is still unknown. In order to provide scientific basis for effective monitoring and G. morsitans control, this study aimed to collect the distribution and to explore the potentially suitable habitat for G. morsitans under various scenarios. We downloaded the major data of G. morsitans occurrence from the Global Biodiversity Information Facility. Maxent software and R language were employed to analyze the relationship between occurrence records and climatic variables and project the potentially suitable habitat for G. morsitans in historical and future periods. The results showed that Isothermality contributed most to the distribution of G. morsitans. The predicted potentially suitable areas for G. morsitans under historical climate conditions include a large area of Africa near and below the equator, small equatorial regions of southern Asia, America, and Oceania. Under the future climate conditions, the potentially suitable areas would decline about −5.38 ± 1.00% as a whole under all SSPs compared with 1970–2000. Abstract Glossina morsitans is a vector for Human African Trypanosomiasis (HAT), which is mainly distributed in sub-Saharan Africa at present. Our objective was to project the historical and future potentially suitable areas globally and explore the influence of climatic factors. The maximum entropy model (MaxEnt) was utilized to evaluate the contribution rates of bio-climatic factors and to project suitable habitats for G. morsitans. We found that Isothermality and Precipitation of Wettest Quarter contributed most to the distribution of G. morsitans. The predicted potentially suitable areas for G. morsitans under historical climate conditions would be 14.5 million km2, including a large area of Africa which is near and below the equator, small equatorial regions of southern Asia, America, and Oceania. Under future climate conditions, the potentially suitable areas are expected to decline by about −5.38 ± 1.00% overall, under all shared socioeconomic pathways, compared with 1970–2000. The potentially suitable habitats of G. morsitans may not be limited to Africa. Necessary surveillance and preventive measures should be taken in high-risk regions.
A Study on Product Materials Mental Imagery Perception of User Experience Design

Why are the product design of the Apple Inc. are so successful in the dog-eat-dog market One of the most important reasons is that the mental imageries of product user experience design of Apple Inc. are close to the user's expectant material mental imageries.In this study, we want to gain the main mental imageries of information product materials user experience design of the target users (18-28 years old university students or the recent graduates in the east of China) in the near future of the next 1-2 years. We used Culture Scan, Contextual Inquiry, Semantic Differential Method, and the Coordinate of Mental Imagery to study. We discovered that the main mental imageries of information product materials user experience design of the target users in the near future of the next 1-2 years are high-technological and fashionable. We built a bridge from the the material mental imagery of the user to the material mental imagery of the designer. The actual demand of the consumers could be more easily understood by the company.
Emergency Rapid Response to Epileptic Seizures - A Novel IOT Framework for Smart Cities

Epilepsy is a common neurological disorder that results in seizures in patients of all ages. The frequency of seizure episodes can be controlled by prescribing anti-seizure drugs. Drug-resistant epilepsy is a condition where the seizures are uncontrolled by strong medications. Such patients are at a high risk of getting seizures frequently and prone to injuries due to sudden falls. Many countries prohibit epileptic patients from driving as sudden seizure attacks can cause loss of lives and property. In the past decades immense work has been carried out in the to monitor the seizure activity in patients and alert caregivers to extend help in emergencies. The study proposes a smart health care Internet of things framework to provide immediate help to the epileptic patient during an episode while travelling in a self-driving car. In the proposed framework, the seizure alert from a wearable device of the patient is transmitted to the control application via cloud. The control application also receives data from the vision, ultrasonic, and radar sensors. The critical information of seizure alert and the sensor data commands the car to force stop. The seizure google map location of the car is sent to the patient’s caregiver as well as the registered hospital. Many applications are being developed to provide luxury and comfort to fully automated car drivers. Far from providing luxury to the driver Emergency Rapid Response to Epileptic Seizure aims to propose a solution that could save the life of an epileptic patient who is drug-resistant or prone to frequent attacks despite severe medications. The experimental results on synchonization of clouds show that the minimum time is 30 sec 30 ms and maximum time is 31 sec 63 ms. The experimental results prove that its recommended to alert the patient's caregiver directly from control application rather than alerting via cloud.
RETRACTED: Design Guidelines For Recycling AC Induction Motors

This paper describes the design guidelines of an A C induction motors based on recycling. This explains the detail description of the inducti on motor or machine parts how to reuse. Technological issues arising from following machine components are covered: stator insulation, rotor insulation, stator core, rotor core, stator winding s, rotor windings, bearings, shaft and frame. The d esign guidelines applied to induction motors and investig ated in this manner should have: higher reliability and availability, lower initial and operating costs , smaller losses and environmental advantages. Keyword : Recycle induction motors, AC machines, Motors