Miracle-dz/UniFAR-FTUs huggingface dataset:
Underground coal gasification: issues in commercialisation

Back in 2007, it was expected that commercial gas production from underground coal gasification (UCG) technology would be in progress within the following 5 years. This has not occurred, particularly in Australia, where at the time three commercial projects were being aggressively pursued. This paper reviews each of five key issues that may be considered to have delayed UCG commercialisation. Of these, it is concluded that the primary factor is the use of government environmental policy to achieve its preferred energy outcomes, as in the development of the coal seam gas industry in Australia. It is concluded that the UCG industry must select appropriate markets and utilise small-scale financially viable projects to achieve its required commercial breakthrough.
SARS-CoV-2 wastewater surveillance in Germany: long-term PCR monitoring, suitability of primer/probe combinations and biomarker stability

In recent months, wastewater-based epidemiology (WBE) has been shown to be an important tool for early detection of SARS-CoV-2 circulation in the population. In this study, a detection methodology for SARS-CoV-2 RNA (wild-type and variants of concern) in wastewater was developed based on the detection of different target genes (E and ORF1ab) by PEG precipitation and digital droplet PCR. This methodology was used to determine the SARS-CoV-2 concentration and the proportion of N501Y mutation in raw sewage of the wastewater treatment plant of the city of Karlsruhe in southwestern Germany over a period of 1 year (June 2020 to July 2021). Comparison of SARS-CoV-2 concentrations with reported COVID-19 cases in the catchment area showed a significant correlation. Viral RNA titre trends appeared more than 12 days earlier than clinical data, demonstrating the potential of wastewater-based epidemiology as an early warning system. Parallel PCR analysis using seven primer and probe systems revealed similar gene copy numbers with E, ORF, RdRP2 and NSP9 assays. RdPP1 and NSP3 generally resulted in lower copy numbers, and in particular for N1 there was low correlation with the other assays due to outliers. The occurrence of the N501Y mutation in the wastewater of Karlsruhe was consistent with the occurrence of the alpha-variant (B.1.1.7) in the corresponding individual clinical tests. In batch experiments SARS-CoV-2 RNA was stable for several days under anaerobic conditions, but the copy numbers decreased rapidly in the presence of dissolved oxygen. Overall, this study shows that wastewater-based epidemiology is a sensitive and robust approach to detect trends in the spread of SARS-CoV-2 at an early stage, contributing to successful pandemic management.
Fiber laser hydrophone for low frequency signal detection

A fiber laser hydrophone (FLH) based on a flat diaphragm and an L shaped lever is presented. This hydrophone uses an L shaped lever to transfer the acoustic pressure induced defection of the flat diaphragm to the axial elongation of the fiber laser. The curve where the L shaped lever contacts the diaphragm is a segment of an Archimedes spiral, which is used to enhance the responsivity. To compensate the hydrostatic pressure, a capillary tube is fixed at the end of the hydrophone. Both theoretical and experimental investigations are presented in this paper. The result shows that the proposed design has a high sensitivity of a flat frequency response below 1 kHz.
Predictive Effect of Phubbing and Life Satisfaction on Depression Symptoms in Adults Yetişkinlerde Sosyotelizm (Phubbing) ve Yaşam Doyumunun Depresyon Belirtileri Üzerindeki Yordayıcı Etkisi

Objective: Phubbing, defined as being busy on the phone by ignoring people, and life satisfaction, which appears as a person's attitude to life, also manifest themselves as variables that affect our mental health. The aim of this study was to determine the predictive effect of phubbing and life satisfaction on the depression symptoms level of the individual. Method: The study group of the research consists of 756 adults (51.7% Female, 48.3% Male) living in Central Anatolia. The data of the study were collected using the Phubbing Scale, Beck Depression Scale, Life Satisfaction Scale and personal information form. Results: A significant negative relationship between phubbing and life satisfaction, a significant negative relationship between life satisfaction and depression symptoms, and a significant positive relationship between phubbing and depression symptoms were found. According to the preliminary analysis, depression symptoms scores do not significantly differentiate according to gender; differentiates significantly according to marital status, educational level and perceived personality traits. According to the results of hierarchical regression analysis, life satisfaction and phubbing behavior were found to be medium-level predictors of depression symptoms. Conclusion: Phubbing has been identified as a new descriptor for depression symptoms. Phubbing and life satisfaction are important predictors for depression symptoms.
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders

Variational Autoencoders (VAEs) are powerful probabilistic models to learn representations of complex data distributions. One important limitation of VAEs is the strong prior assumption that latent representations learned by the model follow a simple uni-modal Gaussian distribution. Further, the variational training procedure poses considerable practical challenges. Recently proposed regularized autoencoders offer a deterministic autoencoding framework, that simpliﬁes the original VAE objective and is signiﬁcantly easier to train. Since these models only provide weak control over the learned latent distribution, they require an ex-post density estimation step to generate samples comparable to those of VAEs. In this paper, we propose a simple and end-to-end trainable deterministic autoencoding framework, that efﬁciently shapes the latent space of the model during training and utilizes the capacity of expressive multi-modal latent distributions. The proposed training procedure provides direct evidence if the latent distribution adequately captures complex aspects of the encoded data. We show in experiments the expressiveness and sample quality of our model in various challenging continuous and discrete domains. An implementation is available at https://github.com/boschresearch/GMM_DAE .
Fault-Tolerant Control for 5L-HNPC Inverter-Fed Induction Motor Drives with Finite Control Set Model Predictive Control Based on Hierarchical Optimization

This paper proposes a fault-tolerant control strategy with finite control set model predictive control (FCS-MPC) based on hierarchical optimization for five-level H-bridge neutral-point-clamped (5L-HNPC) inverter-fed induction motor drives. Faulttolerant operation is analyzed, and the fault-tolerant control algorithm is improved. Adopting FCS-MPC based on hierarchical optimization, where the voltage is used as the controlled objective, called model predictive voltage control (MPVC), the postfault controller is simplified as a two layer control. The first layer is the voltage jump limit, and the second layer is the voltage following control, which adopts the optimal control strategy to ensure the current following performance and uniqueness of the optimal solution. Finally, simulation and experimental results verify that 5L-HNPC inverter-fed induction motor drives have strong fault tolerant capability and that the FCS-MPVC based on hierarchical optimization is feasible.
Prognostic Significance of PD-L1 and PTEN Expression in Prostatic Cancer

Background: Programmed deathligand 1(PD-L1) acts as an immune checkpoint inhibitor. Phosphatase and tensin homolog (PTEN) is a somatically mutated tumor suppressor gene in numerous types of human cancer. The current study aimed to assess the prognostic value of PD-L1 and PTEN expression in prostatic cancer patients, as well as their relationship with the clinicopathological features of the disease. Method: A total of 55 needle biopsy specimens were retrospectively diagnosed as prostatic adenocarcinoma. Immunohistochemical staining with PD-L1 and PTEN were evaluated in all the cases. The patients were followed up for 5 years in order to detect disease recurrence and survival. Results: PD-L1 expression in Prostate cancer was positively correlated with high PSA, higher Gleason score, advanced stage, higher tumor relapse, and worse disease-free and overall survival (P < 0.001). PTEN loss was significantly associated with high PSA, higher Gleason score ˃7, advanced tumor stage, tumor relapse, and worse disease-free and overall survival (P ˂ 0.001). We observed a significant negative correlation between PTEN and PD-L1. Conclusion: PDL-1 and PTEN are prognostic markers for prostate cancer, which can differentiate between the patients who are at a high risk of disease progression and may successively provide novel targeted therapies.
THE USE OF GAMIFICATION TO IMPROVE KNOWLEDGE SHARING PROCESS IN AN UTILITY COMPANY by USING ARCS MODEL: CASE STUDY IN AN UTILITY COMPANY

Knowledge is neither data nor information, but knowledge cannot exist without data and information. To manage a collection of knowledge on an ongoing basis, a Knowledge Management System (KMS) is required which is created to manage knowledge electronically and can be accessed by all employees so as to facilitate the knowledge creation process. PT PLN (Persero) has KMS to manage the knowledge creation process, one of which is in terms of knowledge sharing (KS) activities. Gamification can be used to motivate employees to participate in the knowledge creation process, especially in knowledge sharing, so that it can encourage the creation of new knowledge that can encourage the creation of new innovations for PT PLN (Persero). Motivational design ARCS model and MDA framework are used as the basis for the design of the user interface gamification in PT PLN (Persero) knowledge creation process so that it can provide a gamification system that can motivate employees' desire to share knowledge at PT PT PLN (Persero).
Effective visualization for interactive video exploration

In this thesis we introduce an innovative approach to visualisation and search results presentation for large video collection search and browsing. The general problem of video search is analysed and discussed in comparison with other current software tools and methods used for video search. A specific visualisation method and algorithm for its generation is then proposed and discussed. We evaluated the methods both, empirically and by a user study. Based on the results, we chose the best possible algorithm settings for interactive video search and applied them. A simple experimental software tool implementing the proposed methods is developed focusing on the visualisation components.
A Learner-Centered Approach

75 Findings from a study of undergraduate honors education introduce a new perspective into the debate over approaches to academic advising. Learner-centered advising emerged as a key attribute of high-quality honors programs. The learner-centered approach is consistent with a range of advising approaches and styles because through it advisors retain emphasis on studentlearning experiences and development. Insights on existing advising perspectives and recommendations for advising honors students are discussed. Advisors and administrators are encouraged to examine both practice and underlying philosophy while conducting further research to develop advising theory that will inform effective practice.
A COMPREHENSIVE STUDY OF BOTNETS ON INTERNET OF THINGS AND MOBILE DEVICES : DETECTION AND MITIGATION TECHNIQUES

Network formed by a group of internet-connected compromised devices is known as Botnet, which may include personal computers, servers, internet of things and mobile devices. The botnet has been one of the most common network security threat. Botnets have been used for stealing data, sending spam, and allows attackers to access the device for collecting personal information of the users and for conducting distributed denial of service attacks (DDoS attacks). Increasing popularity and recent advances in the Internet of Things (IoT) and mobile devices have made IoT devices and mobile devices an easy and alluring target for attackers. Various studies have proposed many sophisticated mechanisms for understanding and identifying botnets and how they creating security threats for IoT devices and Mobile devices. This survey work presents a comprehensive review that discusses about IoT and mobile botnets propagation, detection, and mitigation. In this work, we focus on various types of IoT and mobile botnets propagation, attack methodology, and how they exploited in DDoS attacks along with various technologies used to detect IoT and Mobile botnets. Also we introduce the structure and characteristics of basic botnets.
Frontline Health achievements in harmonizing measurement and generating evidence on community health system performance

As the global health community demonstrates an increasing commitment to investing in community health workers (CHWs) to achieve universal health coverage in lower- and middle-income countries, the need to effectively measure community health system performance is paramount. Embedded in the Integrating Community Health partnership (2017–2021), with support from the Bill & Melinda Gates Foundation, the Population Council and Last Mile Health co-led the Frontline Health (FLH) project, a four-year research, policy, and advocacy initiative aimed at developing core metrics and CHW reform processes, advancing their adoption, and promoting institutionalization of robust community health policies. This brief describes the Population Council’s notable achievements and recommendations under FLH regarding CHW performance measurement, as well the top five research findings in five diverse countries: Bangladesh, Haiti, Kenya, Mali, and Uganda.
A THEORETICAL DISCUSSION OF FACTORS AFFECTING THE ACCEPTANCE OF M-LEARNING BY INTEGRATING IS SUCCESS MODEL WITH TAM MODEL

The There have been tremendous developments in different industry fields, including the higher education sector. In fact, such sector has been considered as one of the sectors that attracted the special focus of the government. There are several benefits of M-learning that are attractive to both educator and learner circles, with the top advantage being its mobility. In other words, M-learning allows users to exchange information at any time and at any location, removing the issue of locality and traveling to access learning. However, M-learning in the institutions of higher learning is still in its infancy and tangible M-learning initiatives have yet to be set up in the sector. Added to this, the factors impacting the acceptance of such technology are still ambiguous. This study provides advanced knowledge by explaining the importance, adaption strategies and determinants of mobile Learning in the higher education. This in turn would play an important role in increasing the acceptance level of M-learning among universities.
Opposing effects of an F-box protein and the HSP90 chaperone network on microtubule stability and neurite growth in <italic>Caenorhabditis elegans</italic>

Molecular chaperones oftenwork collaboratively with the ubiquitylationproteasome system (UPS) to facilitate the degradation of misfolded proteins, which typically safeguards cellular differentiation and protects cells from stress. In this study, however, we report that the Hsp70/ Hsp90 chaperone machinery and an F-box protein, MEC-15, have opposing effects on neuronal differentiation, and that the chaperones negatively regulate neuronal morphogenesis and functions. Using the touch receptor neurons (TRNs) ofCaenorhabditis elegans, we find that mec-15(-) mutants display defects in microtubule formation, neurite growth, synaptic development and neuronal functions, and that these defects can be rescued by the loss of Hsp70/Hsp90 chaperones and co-chaperones.MEC-15 probably functions in aSkp-,CullinandF-boxcontaining complex to degrade DLK-1, which is an Hsp90 client protein stabilized by the chaperones. The abundance of DLK-1, and likely other Hsp90 substrates, is fine-tuned by the antagonism betweenMEC-15 and the chaperones; this antagonism regulates TRN development, as well as synaptic functions of GABAergic motor neurons. Therefore, a balance between the UPS and the chaperones tightly controls neuronal
Incentives and Defaults Can Increase COVID-19 Vaccine Intentions and Test Demand

Willingness to vaccinate and test are critical in the COVID-19 pandemic. We study the effects of two measures to increase the support of vaccination and testing: defaults and monetary compensations. Some organizations, such as restaurants, fire departments, hospitals, or governments in some countries, have used these measures. Yet there is the concern that compensations could erode intrinsic motivation and decrease vaccination intentions. We show that, in the early stages of the pandemic, both approaches, compensations and defaults, significantly increased COVID-19 test demand and vaccine intentions. Compensations for vaccines, however, need to be large enough because low compensations can backfire. We estimate heterogeneous treatment effects to document which groups are more likely to respond to these measures. The results show that defaults and avoidance of small compensations are especially important for individuals who are more skeptical of the vaccine, measured by their trust in the vaccine and their political views. Hence, both measures could be used in a targeted manner to achieve stronger results. This paper was accepted by Yan Chen, behavioral economics and decision analysis.
Integration of Ultrafiltration Unit Operations in Biotechnology Process Design

A stepwise process design approach is proposed to model membrane unit operations generally in combination with experimental model parameter determination in laboratory scale, in order to predict the purification performance a priori by simulations for multicomponent mixtures. The development of a rigorous model for an ultrafiltration membrane is described. In conceptual process design, the degree of comprehension of all unit operations integrated have to be almost identical to be able of any consistent process proposal taking equipment-related fluid-dynamical and kinetic nonidealities besides thermodynamical feasibility into account. Therefore, a process model, combining the most limiting factors within one mathematical model, is established and various filtrations are carried out with a binary solution for validation. Additionally, a standard laboratory equipment is instituted for logging time-dependent concentration profiles. The practicability of the proposed procedure is proven in order to design and integrate ultrafiltration membranes into total purification processes.
Experimental study on the performance of miniature heat pipes with woven-wire wick

The thermal density of electronic system has been increased continuously because high speed and high density are required for them. The heat dissipation of CPU for a notebook PC has been recently increased to be more than 10 W, but, on the other hand, the available packaging space has been decreased. Therefore, it has become inevitable to perform cooling by using miniature heat pipes (MHPs). In the present study, a new woven-wire-type wick for the MHP is developed, which has a large capillary limit and a high productivity. These MHPs with diameters of 3 mm or 4 mm are applicable to small-sized electronic parts such as CPU of a notebook PC. Because the operational characteristics of MHPs with the diameters of 3 mm or 4 mm are different from those of general medium-size heat pipes, performance tests have been conducted in order to review heat-transfer characteristics and effects of various factors on the performance of MHPs. The design factors under consideration are fill ratio of working fluid, length of heat pipe, length of evaporator and condenser, inclination angle of installation, number of wick strand and thermal load.
Underactuated Soft Hip Exosuit Based on Adaptive Oscillators to Assist Human Locomotion

Reproducing the mechanisms of human locomotion is a hard challenge. Assistive wearable devices in this context need to be lightweight, portable, and to adapt to the wearer’s walking pattern. Aiming to combine the aforementioned features, we developed a soft wearable exosuit to assist hip flexion during walking. The main feature of the device is underactuation, i.e., a single actuator is used to assist bilateral hip flexion. A control strategy based on Adaptive Oscillators and gait phase estimation is implemented to deliver flexible assistance and to adapt to changes in walking pattern. The system was tested on six healthy subjects. Preliminary results show good performance of the control algorithm to track human gait and to deliver symmetrical assistance to both legs. First kinematic and muscular assessments revealed promising results at walking speeds near to the natural human walking, where the device did not alter hip kinematics and decreased the effort required by muscles contributing to hip flexion. Once validated on a larger sample of subjects, the device can have the potentialities to be used in clinical and wellness applications.
The Moderating Role of Attachment in the Associations Between Group Variables and OCB

The current study expands previous knowledge by investigating the moderating role of attachment styles in the associations between perceived group cohesion, perceived collective efficacy, and changes in the individual report of organizational citizenship behavior (OCB). Data were collected from 180 employees, who took part in a 9-week organizational training course. Upon start of training, participants completed questionnaires assessing their attachment orientations and their individual-level OCB. Upon conclusion, participants completed questionnaires assessing their perceived group cohesion, perceived group efficacy, and OCB. Using hierarchical linear modeling, both group cohesion and efficacy explained the changes in the individual OCB. In addition, attachment anxiety moderated the associations between group efficacy, group cohesion and the changes in OCB. The results emphasize the joint effects of group-and individual-level variables in predicting OCB in a longitudinal design. Theoretical and practical implications are discussed.
High CM suppression balanced broadband BPF with hybrid hairpin-interdigital structure

A compact, high selectivity and good common-mode (CM) suppression balanced broadband bandpass filter (BPF) is proposed using hybrid hairpin-interdigital structure. Under the differential-mode (DM) excitation, the filtering topology is formed by n + 1 quarter-wavelength resonators (QWRs) and n hairpin resonators (HRs) instead of QWRs with coupled-line I/O coupling structure. But, the DM circuit still maintains high selectivity and broadband characteristics of the interdigital BPF. By reasonably choosing the coupling length and the length of the HR, the balanced BPF can not only obtain the desired DM frequency response, but the CM harmonic generated by the HR can be well suppressed by the CM transmission zero created by the coupling between the HR and half-wavelength resonator (HWR). No via-hole ground for the balanced broadband BPF is required, reducing the implementation complexity. Finally, the third-, fifth-, and seventh-order balanced broadband BPF prototypes are designed and fabricated, and the simulated and measured results show a good agreement. The CM signal for seventh-order case has been suppressed below −46.5 dB in the whole DM frequency band.