Miracle-dz/UniFAR-FTUs huggingface dataset:
Clarifying the role of officer coping on turnover in corrections

ABSTRACT Correctional officers are at high risk of exposure to workplace violence, and many report experiencing severe mental health symptoms, including post-traumatic stress disorder, anxiety, and depression. Despite growing concern for these issues, however, we do not yet fully understand the coping mechanisms correctional officers employ to manage work-related stress, or how coping mechanisms affect workplace outcomes. To address these questions, we utilize original survey data about California correctional officers. We draw on the Stress Process Paradigm to model the relationship between exposure to violence and mental health, the impact of occupational stress on the development of coping mechanisms, and whether differential coping mechanism utilization impacts officers’ levels of cynicism and desire to leave corrections. Our findings suggest that emotion-focused coping (e.g. having someone to talk to) is associated with lower intention to leave correctional employment, while the opposite is true for avoidant coping (i.e. alcohol abuse). These insights shed light on the problem of officer turnover and retention, and provide potential direction to policymakers and practitioners seeking to create an effective, healthy workforce.
Touch Magnifying Instrument Applied to Minimally Invasive Surgery

The MicroTactus is an instrument designed to detect signals arising from the interaction of a tip with soft or hard objects and to magnify them for haptic and auditory reproduction. An enhanced arthroscopic surgical probe was developed using an accelerometer and a custom-designed actuator for haptic feedback. Measurements were made to characterize the device and the results showed that numerous factors such as gripping method and gripping force influenced the system response in a complicated manner. The device was tested with the task of detecting surface defects of a cartilage-like material. Subjects were asked to detect the cuts of different depths under four conditions: no amplification, with haptic feedback, with sound feedback, and with passive touch. Both haptic and auditory feedback was found to significantly improve detection performance, which demonstrated that an enhanced arthroscopic probe provided useful information for the detection of small cuts in tissue-like materials.
Design of low-loss tapered waveguides using the telescope structure compensation

A low-loss tapered waveguide is achieved by telescope structure compensation. The configuration of this design is similar to the Galilean telescope based on bulk geometrical optics. We numerically calculate the transmission efficiency in the use of the beam propagation method (BPM) and the finite-difference time-domain method. The BPM simulation results reveal that the normalized transmission efficiency is more than 95%, even if the tapered angle is as large as 10/spl deg/.
Characterisation of the Function of a SINE-VNTR-Alu Retrotransposon to Modulate Isoform Expression at the MAPT Locus

SINE-VNTR-Alu retrotransposons represent one class of transposable elements which contribute to the regulation and evolution of the primate genome and have the potential to be involved in genetic instability and disease progression. However, these polymorphic elements have not been extensively analysed when addressing the missing heritability of neurodegenerative diseases, including Parkinson’s disease (PD) and amyotrophic lateral sclerosis (ALS). SVA_67, a retrotransposon insertion polymorphism, is located in a 1.8 Mb region of high linkage disequilibrium, called the MAPT locus, which is known to contribute to increased risk of developing PD, frontotemporal dementia and other tauopathies. To investigate the role of SVA_67 in directing differential gene expression at this locus, we characterised the impact of SVA_67 allele dosage on isoform expression of several genes in the MAPT locus using the datasets from both the Parkinson’s Progression Markers Initiative and New York Genome Center Consortium Target ALS cohort. The Parkinson’s data was from gene expression in the blood and the ALS data from a variety of CNS regions and allowed us to demonstrate that SVA_67 presence or absence correlated with both isoform- and tissue-specific expression of multiple genes at this locus. This study highlights the importance of addressing SVA polymorphism in disease genetics to gain insight into a better understanding of the role of these regulatory domains to a variety of neurodegenerative diseases.
Conceptualizing Corporate Sustainability Reporting and Risk Management Towards Green Growth in the Malaysian Oil and Gas Industry

Recently, there have been many reports of catastrophic accidents in the oil and gas (O&G) industry which led to huge financial losses and hazards to humans and the environment. Apart from the primary operational (technical) risks, there exist numerous non-technical risk factors such as workforce protection, climate change, ecosystem, biodiversity, health and safety, governing compliance, and other environmental, and social issues. These risks if left without intervention could affect the green growth and eco-friendly resilience of the O&G companies. Thus, this work offers a conceptual framework on how corporate sustainability practices along with risk management implementation are stimulating green growth in the O&G industry. The presented theoretical and conceptual framework underpinned by the stakeholder theory proposed in this paper provides a foundation for empirical validation of the intertwined relationship between the pertinent variables. The measurement of the variables such as corporate sustainability performance, enterprise risk management and green growth is proposed to be drawn from earlier research and developed frameworks and guidelines by prominent organizations. The significance of this paper is to lend guidance to Malaysian oil and gas players to embrace green growth through sustainability and risk management implementation.
The hysterical symptom: A proposal of articulation of the Freudian theory and the Bayesian account

ABSTRACT The Freudian theory of the hysterical symptom conceives it as a form of symbolic solution to an unresolved psychic conflict that has been repressed. A large section of Freud's early psychological writings is dedicated to the theoretical discussion of how a part of the body can be used as a symbol. This theory establishes a correlation between bodily experience and the experience of psychic conflict. This correlation can be contingent or metaphoric, and makes the bodily experience the symbol of the conflict. This theory fits the proposal of the Bayesian brain approach to the conversion symptoms (or Functional Motor and Sensory Symptom, FMSS). The precision of prior beliefs and prediction errors in the generation of what we perceive is modulated by attention. The cause of the FMSS can be considered as produced by abnormal priors to which excessive precision is given, thus leading to false perceptual inferences to explain the emergence of belief at the intermediate level. In the psychic conflict, too much precision is given to the sensory evidence coming from the desire, increasing uncertainty. As this fact results in the impossibility of experiencing the conflict and managing the affective overload, the attention is directed to the organic symptom that was available concomitantly to which the excessive precision is transferred. This paper intends to approximate the Freudian view of the conversion symptom and the Bayesian approach, showing that the articulation between symbolic reading and neuroscientific reading complement and clarify each other.
A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications

With the rapid progress of hardware and software, a wireless sensor network has been widely used in many applications in various fields. However, most discussions for the WSN node deployment mainly concentrated on the two-dimensional plane. In such a case, some large scale applications, such as information detection in deep space or deep sea, will require a good three dimensional (3D) sensor deployment scenario and also attract most scientists’ interests. Excellent deployment algorithms enable sensors to be quickly deployed in designated areas with the help of unmanned aerial vehicles (UAVs). In this paper, for the first time, we present a three dimensional network deployment algorithm inspired by physical dusty plasma crystallization theory in large-scale WSN applications. Four kinds of performance evaluation methods in 3D space, such as the moving distance, the spatial distribution diversion, system coverage rate, and the system utilization are introduced and have been carefully tested.Furthermore, in order to improve the performance of the final deployment, we integrated the system coverage rate and the system utilization to analyze the parameter effects of the Debye length and the node sensing radius. This criterion attempts to find the optimal sensing radius with a fixed Debye length to maximize the sensing range of the sensor network while reducing the system redundancy. The results suggest that our 3D algorithm can quickly complete an overall 3D network deployment and then dynamically adjust parameters to achieve a better distribution. In practical applications, engineers may choose appropriate parameters based on the sensor’s hardware capabilities to achieve a better 3D sensor network deployment. It may be significantly used in some large-scale 3D WSN applications in the near future.
The Modular Modeling System (MMS): A Toolbox for Water- and Environmental-Resources Management

Increasing demands for limited fresh-water supplies, and increasing complexity of environmental resource-management issues, present resource managers with the difficult task of achieving an equitable balance of resource allocation among a diverse group of users. Achieving such a balance is most difficult in arid and semi-arid regions. Hydrological and ecosystem models are often the tools being employed to address these resource-allocation issues.
Prototyping a Mobile App for Pregnancy During the COVID-19 Pandemic: Using Information Design to Strengthen Information Landscapes

When the COVID-19 pandemic struck the United States in early 2020, pregnant people faced challenges unlike what would be expected while pregnant during “normal times. ” Studies found this population to be overwhelmed by rampant misinformation or a lack of information, decreased access to health care, and uncertain social support. This project investigates and addresses the preferences of pregnant people by designing a prototype of a mobile application that seeks to increase both accessibility and availability of credible information about pregnancy and postpartum during the COVID-19 pandemic. Methods include a literature review, questionnaires, interviews, personas, current app research, wireframing, and prototyping. They identify a gap in the mobile app toolbox for navigable, credible information on COVID-19 for pregnant and recently pregnant people. They also find that, contra to the goals of the project, it isn’t feasible to incorporate into the app a social support feature, due to the potential for misinformation. The project also concludes that a successful mobile application employs information design to lessen the cognitive load of users and to integrate their geographic confines; elements that support a user’s agency also strengthen the user’s information landscape. Further research ascertaining the specifics of what might be needed to make an app usable for particular marginalized or underserved populations is still needed. Finally, one of the more intriguing questions raised by this project might be how to integrate the social support identified as an important need by pregnant people into an app that values the integrity of information.
New Neutrosophic Scale System Framework

: Scaling system can be considered as range-base measurement system, it’s a fatal tool used in all human activities in daily-bases, also, all business domains and sectors heavily use scaling systems in all business process specially in decisions-making as one of the main critical business activities, despite the fact that, there is no scientific base for calculate an unified scale system ranges, all provided scales or ranges are determined based on expert opinions’, an enhanced scale system using single-valued neutrosophic set SVNS is offered that suggest a scientific methods for defining ranges in scaling systems, in addition, a new crisp value functions “De-neutrosophication” for converting both Simplified Neutrosophic Number SNN, and SVNS to them equivalent crisp values using distance measure based on Euclidean space are proposed, Finally, the offered framework and methods are implemented with numerical examples for best prove and validate of the framework and proposed methods.
Frequency of irrigation for subsurface drip-irrigated corn

Four time-based treatments and four soil water depletion-based treatments were used to evaluate the effect of irrigation frequency on the production of subsurface drip-irrigated corn. Cumulative soil water depletion was calculated and replenished every 1, 3, 5, and 7 days for the time-based treatments. Cumulative soil water depletion was applied to soil water depletion-based treatments when depletion reached 12.7, 25.4, 38.1, and 50.8 mm. No significant differences were found among yields or soil water contents. Significant differences did occur in the irrigation water use efficiency and drainage. The treatments with longer intervals between irrigations had higher irrigation water use efficiencies because rainfall was used more effectively.
Field Performance of RAS Test Sections and Laboratory Investigation of Impact of Rejuvenators on Engineering Properties of RAP/RAS Mixes

In the last several years, recycled asphalt shingles (RAS), in addition to reclaimed asphalt pavement (RAP), have been widely used in Texas. The use of RAS can significantly reduce the cost of asphalt mixtures, conserve energy, and protect the environment. However, one of the major concerns is poor cracking resistance of RAS mixes due to super stiff asphalt binder in the RAS. This research focused on field performance of RAS test sections and the benefit of using rejuvenators in improving cracking resistance of RAS(/RAP) mixes. In addition, a simple cost analysis was performed to investigate the cost-benefits of using rejuvenators. It was found that both increasing design density (leading to higher virgin binder content) and using soft virgin binders (e.g. PGXX-28) can improve cracking resistance. With respect to improving cracking resistance of RAS mixes, the three rejuvenators evaluated in this research are all effective. Furthermore, the incorporation of rejuvenators also improved the moisture susceptibility and rutting resistance of the mixtures containing recycled materials. Apparently, additional tests and analyses are necessary. Specifically, field test sections with different types of rejuvenators should be constructed for further evaluation. Additionally, the observed field performance indicated that cracking performance is influenced by many factors, such as traffic, climate, existing pavement conditions for asphalt overlays, and pavement structure and layer thickness. It is extremely difficult to propose a single cracking requirement for all applications. There is a need to develop a RAP/RAS mix design and performance evaluation system for project-specific service conditions, including traffic, climate, existing pavement conditions, etc.
Investigation on anomalous leakage currents in poly-TFTs including dynamic effects

Field-enhanced off-currents are an important limiting factor of polycrystalline-silicon thin-film transistors (TFTs) which still prevents a wider use of such devices in active-matrix liquid crystal displays (AMLCDs) as switching elements within the pixel matrix. The purpose of this work is that of investigating the anomalously-large leakage currents in poly-TFTs by numerical simulation, taking into account for the effects of energy distributed traps and field-enhanced generation mechanisms. The investigation is carried out both in steady-state and in transient conditions in accordance with the typical timing of the driving circuitry, and accounts for the kinetics of trapped carriers. Furthermore, the influence of material quality and device geometry is investigated. This study shows that the electric field increases by 30% during the off-transition with respect to steady-state. However, drain engineering using either LDD or active-gate structures allows for a substantial decrease of the peak electric-field value in dynamic conditions.
Towed array shape estimation using multimodel partitioning filters

The problem of towed array shape estimation is reformulated and shown to be mathematically equivalent to the problem of state estimation with abruptly changing bias of the plant noise process. An algorithm belonging to the family of adaptive multimodel partitioning algorithms is subsequently applied to this problem, and its performance is comparatively evaluated with that of nonadaptive algorithms previously proposed through simulation experiments.
Computer Data Structure for Geological Entities Modelling Based on OO-Solid Model

In the long evolution of the earth formation often form a complex geological structure, modeling for these complex geological entities (such as thinning-out, bifurcation, reverse, etc.) still require in-depth 3D modeling study. Because of discontinuity, complexity and uncertainty of distribution of 3D geo-objects, some models only are suitable for regular, continuous and relatively simple spatial objects, and some are suitable for discontinue, complex and uncertain geo-objects, but some improvements on these models, such as, updating of model, maintenance of topological and seamless integration between models, are still to be made. OO-Solid model, put forward by writer in 2002, is an object- oriented topological model based on sections. The OO-Solid Model is an object-oriented 3D topologic data model based on component for geology modeling with fully considering the topological relations between geological objects and its geometric primitives, Comparatively, it accords with the actual requirements of three-dimensional geological modeling . The key issue of 3D geology modeling is the 3D data model. Some data models are suitable for discontinue, complex and uncertain geo-objects, but the OO-Solid model is an object-oriented 3D topologic data model based on component for geology modeling with fully considering the topological relations between geological objects and its geometric primitives. OO-Solid model and data structure are designed. At last, 3D complex geological entities modeling based on OO-Solid are studied in this paper. These study is important and one of the core techniques for the 3DGM.
An efficient method of designing dual‐ and wide‐band power dividers with arbitrary power division

Capability of microstrip nonuniform transmission lines (MNTLs) for construction of dual‐band and broadband unequal Wilkinson power dividers with arbitrary‐way, arbitrary frequency band operations, and arbitrary power divisions is evaluated. Also, the MNTL transformers are introduced for dual‐band/broadband matching of the unequal output impedances of the MNTL power divider with arbitrary output terminal impedances. The strip width of MNTLs is considered variable and is written as a truncated Fourier series expansion. To show the validity of the design procedure, three experimental MNTL Wilkinson power dividers, which are dual‐band two‐ and three‐way power dividers with different power divisions working at 1 and 3.4 GHz and one broadband equal power divider working from 0.4 to 1.8 GHz, have been designed and fabricated. In the first ones with power division of 1.5, outputs isolation and ports matching of less than −30 dB are achieved. Next, an extended recombinant structure is presented for achieving three‐way MNTL power dividers with dual‐band operation. The measured isolation between outputs and ports matching are better than 30 dB and measured forward transmissions are between −4.87 and −5.45 in two passbands of the divider. Also, for the proposed broadband divider, the measured isolation between the outputs is better than 13 dB in 127% desired bandwidth. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2013.
Performance of nonceramic insulators under tropical field conditions

This paper presents the results of investigations on the performance of nonceramic insulators in tropical field conditions. Six different types of 33 kV insulators (silicone rubber, EPDM composite, porcelain, and RTV coated porcelain) were installed at six different test sites exposed to marine, industrial and clean environments in Sri Lanka and Tanzania. The visual scrutiny, hydrophobicity class (HC) and surface conductivity were used for the evaluation of the field performance. The silicone rubber and RTV coated insulators preserved the hydrophobic properties although some biological growth was found on them. The EPDM insulators showed distinct surface changes. At the same time, damage due to dry-band arcing appeared on the porcelain insulators exposed to marine pollution.
Forecasting Multiple-Period Freeway Link Travel Times Using Modular Neural Networks

With the advent of route guidance systems (RGS), the prediction of short-term link travel times has become increasingly important. For RGS to be successful, the calculated routes should be based on not only historical and real-time link travel time information but also anticipatory link travel time information. An examination is conducted on how realtime information gathered as part of intelligent transportation systems can be used to predict link travel times for one through five time periods (of 5 minutes’ duration). The methodology developed consists of two steps. First, the historical link travel times are classified based on an unsupervised clustering technique. Second, an individual or modular artificial neural network (ANN) is calibrated for each class, and each modular ANN is then used to predict link travel times. Actual link travel times from Houston, Texas, collected as part of the automatic vehicle identification system of the Houston Transtar system were used as a test bed. It was found that the modular ANN outperformed a conventional singular ANN. The results of the best modular ANN were compared with existing link travel time techniques, including a Kalman filtering model, an exponential smoothing model, a historical profile, and a real-time profile, and it was found that the modular ANN gave the best overall results.
Optimizing the Power Take Off of a Wave Energy Converter With Regard to the Wave Climate

Considered as a source of renewable energy, wave is a resource featuring high variability at all time scales. Furthermore wave climate also changes significantly from place to place. Wave energy converters are very often tuned to suit the more frequent significant wave period at the project site. In this paper we show that optimizing the device necessitates accounting for all possible wave conditions weighted by their annual occurrence frequency, as generally given by the classical wave climate scatter diagrams. A generic and very simple wave energy converter is considered here. It is shown how the optimal parameters can be different considering whether all wave conditions are accounted for or not, whether the device is controlled or not, whether the productive motion is limited or not. We also show how they depend on the area where the device is to be deployed, by applying the same method to three sites with very different wave climate.