Miracle-dz/UniFAR-FTUs huggingface dataset:
How do forensic inpatients’ interpersonal sensitivity to dominance and perceptions of staff coercion impact upon self -reported anger and aggression and rates of aggression?

Coercive practices which are used as means in secure forensic settings have come under scrutiny in recent years due to their paradoxical effects on provoking further service user aggression and violence. Previous research has found relationships between increased service user aggression with both service users interpersonal styles and perceptions of staff coercion (i.e. staff limit setting). In this paper, we aim to investigate whether forensic service users levels of interpersonal sensitivity to dominance increases levels of self-reported anger and rates of aggression towards staff through perceptions of staff coercion.
The Influence of Electronic Service Quality and Electronic Word of Mouth (eWOM) toward Repurchase Intention (Study on E-Commerce in Indonesia)

Customer satisfaction is a vital component of service organisations that are significantly related to service quality. One of the electronic service quality that has to be prioritised, is website quality. Therefore, this study will determine the influence of electronic service quality and electronic word of mouth (eWOM) toward repurchase intention on e-commerce in Indonesia. Data were obtained from Google Form Online Questionnaires which were distributed through a short-link in WhatsApp, LINE, and Twitter applications during April 2019. This study applied the purposive sampling method where 458 qualified samples were matched to the specific criteria. Structural Equation Model (SEM) supported by LISREL software was used to analyse the data. The findings show that there are positive and significant influences of electronic service quality of pleasant and utilitarian dimensions to eWOM construction and repurchase intention. This research suggests managerial implication to e-commerce industry practitioners to reduce Tokopedia and also Instagram as the benchmark of electronic-based service quality. The managerial implication covers observing and adopting mobile application service quality aspects, service online review, and virtual communities. Besides, it is significantly suggested for future studies to explore more specific contexts of pleasant and utilitarian electronic service quality dimensions as in the B2B e-commerce, B2C e-commerce, and G2C e-commerce. Keywords: Electronic service quality, eWOM, repurchase intention, e-commerce, tokopedia.
Bio-Based Value Chains Potential in the Management of Cacao Pod Waste in Colombia, a Case Study

Agriculture generates 11.4 billion tons of biomass worldwide, including residues from crop production and industrial processing. Improper disposal of agricultural residues results in environmental pollution and the waste of valuable biomass resources. Management of agricultural waste is particularly suboptimal in developing countries where low added-value traditional practices to manage the residues are commonplace. A bioeconomy approach to better manage agricultural waste is to use renewable biological resources from land and sea to produce new materials and energy, allowing the development of bio-based value chains (BBVC). This study explored the potential of BBVC in the management of cacao pod husk (CPH), the primary residual biomass generated from the production of cacao in Colombia. Thus, a literature review on cacao pod husk (CPH) management strategies and a survey for farmers from Caldas State in Colombia between August and November of 2020 were performed to identify the potentials and limitations of BBVC in the management of CPH. Assessment of CPH management strategies suggested variable uses for CPH categorized in energy, food, and miscellaneous. Analysis of surveys indicated farmers are keen to implement strategies to better manage their agricultural waste, but that information is not available to them. Finally, an approach to develop a BBVC from cacao was proposed, which we plan to implement as a future research direction. We expect to impact the economic growth positively in the region with bio-based products in the market.
Wealth from poultry waste: an overview

SUMMARY Poultry production generates a huge volume of wastes from hatchery, poultry farm, processing plant, etc., which carry potential health hazards as they lead to air, water and land pollution. Disposal of these wastes by processing and recycling offers greater scope. Hatchery waste meal contains up to 44.63% of crude protein and 26.46% of crude fat and hence can be profitably used as an animal feed source. Appropriately processed dried poultry manure/litter would help in reducing the dependence on chemical fertilisers. India produces about 38.33 million tonnes of poultry manure annually sufficient to fertilise about 3.56 million hectares of farmland. While composting and combustion of poultry litter have been tried, biogas production could also be a good alternative. Poultry by-product meal (PBPM) obtained by rendering showed very high protein (63.7%) and fat (24.5%) contents and could be a cost-effective feed ingredient for monogastric animals that would also ensure efficiency of production. Biodiesel production from chicken fat by the transesterification process also offers good potential and India is keen on taking advantage by incorporating 5% of biodiesel in diesel to bring down its dependence on crude oil imports. Effective and efficient disposal of poultry waste will ensure sustainability of poultry production in developing countries.
Reconstructing an ancient mining landscape: a multidisciplinary approach to copper mining at Skouriotissa, Cyprus

Abstract Extensively worked in antiquity, Skouriotissa remains the only active copper mine on the island of Cyprus. The modern, open-cast operation, however, has almost completely obliterated the earlier mining landscape. Here the authors report the results of investigations, including dating, of the ancient topography of the mine. They incorporate spatial data derived from archival sources, recent fieldwork and absolute dating into a geographical information system to reconstruct the ancient mining landscape around Skouriotissa. Their approach holds promise for understanding other mining regions in Cyprus and beyond, by providing an example of how diverse source material can be used to reconstruct landscapes now destroyed or buried by open-cast mining operations.
A primer on the application of neural networks to covering array generation

In the past, combinatorial structures have been used only to tune parameters of neural networks. In this work, we employ neural networks in the form of Boltzmann machines and Hopfield networks for the construction of a specific class of combinatorial designs, namely covering arrays (CAs). In past works, these neural networks were successfully used to solve set cover instances. For the construction of CAs, we consider the corresponding set cover instances and use neural networks to solve such instances. We adapt existing algorithms for solving general set cover instances, which are based on Boltzmann machines and Hopfield networks and apply them for CA construction. Furthermore, for the algorithm based on Boltzmann machines, we consider newly designed versions, where we deploy structural changes of the underlying Boltzmann machine, adding a feedback loop. Additionally, one variant of this algorithm employs learning techniques based on neural networks to adjust the various connections encountered in the graph representing the considered set cover instances. Culminating in a comprehensive experimental evaluation, our work presents the first study of applications of neural networks in the field of covering array generation and related discrete structures and may act as a guideline for future investigations.
A Comprehensive Analysis of M-ary PSK and M-ary QAM Schemes

In the last few decades, data communication has recorded massive improvements. These improvements were brought about by advancement in digital circuitry, its availability and persistent reduction in cost. Before the advancement of digital communication technology, analogue communication was the dominant means of transmitting data. As the internet expands across the globe, the need to transfer data over long distances increases. However, the major problem with analogue communication is that the quality of signals is lost with distance. Also, it has minimal security and does not support data integration. Digital communications provided an alternative to analogue communication. Today, digital modulations have become part and parcel of the present and future communication technologies. Despite the advantages of these schemes, the traditional channel impairments, such as noise, can affect their performance. Moreover, data transmission is mostly done over wireless channels, which are very unpredictable and are characterised by multipath fading effects. This paper presents a short research article that presents a study of digital modulation schemes (M-ary QAM and M-ary PSK) using MATLAB/Simulink under Additive White Gaussian Noise (AWGN). The result shows that, among the three modulation schemes compared, QAM has the best BER performance with minimal energy consumption.
Tunable low-coherence light source with high spectral brightness

Operation of a tunable tandem-type low-coherence light source with high spectral brightness based on commercially available optical elements (superluminescent diode, semiconductor optical amplifier, and bulk dwiffraction grating) is studied experimentally. A unique combination of the output source characteristics, namely, a spectral power density of 36 mW nm−1, a wavelength tuning range of 35 nm (834 – 869 nm), and a more than 20-dB excess of the central peak intensity over the superluminescent pedestal, is experimentally obtained. It is shown that the output radiation spectrum with a width of 1.4 nm has a smooth bell-shaped profile with side lobes lying below the superluminescent pedestal. It is proved that such a light source is of practical interest for various applications.
Subclavian Artery Injury Following Central Venous Catheter Placement

Mechanical complications following central venous catheterization are not uncommon. We discuss a case of iatrogenic intra-arterial central venous catheter placement requiring neck exploration in a 93-year-old woman. The catheter was inadvertently passed through the jugular vein and into the right subclavian artery by a junior surgical resident. Adequate technique and supervision, ultrasound guidance, and immediate diagnostic workup in the event of suspected arterial injury are factors necessary for physicians to minimize complications and provide safe medical treatment.
Co‐packaged datacenter optics: Opportunities and challenges

Cyriel Minkenberg, Rockley Photonics Ltd., 57 Woodstock Road, Oxford, OX2 6HJ, UK Email: cyriel.minkenberg@rockleyphotonics.com Abstract High‐capacity, high‐density, power‐, and cost‐efficient optical links are undoubtedly of critical importance for datacenter infrastructure. However, the optics roadmap has come to a fork in the road: Is it right to continue on the tried and proven path of pluggable modules or is it time to adopt a new deployment model that involves co‐packaged optics? Herein, we aim to shed light on the trade‐offs involved, enabling technologies, paths to adoption, and potential impact on datacenter network architecture.
Role of glabridin in maintaining residual kidney function in dialysis patients

Purpose: To demonstrate the effect of glabridin on peritoneal function and residual renal function (RRF) in peritoneal dialysis (PD) patients. Methods: Twenty five patients (age range, 24 - 58 years) with a glomerular filtration rate of above 2 mL/min/1.73 m2 and on PD were subjected to glabridin therapy. The patients were treated daily with glabridin (30 mg) for 6 months. The baseline parameters for serum high-sensitivity C-reactive protein (hs-CRP), vascular endothelial growth factor (VEGF), and transforming growth factor β (TGF-β) were compared with those found after 6 months of glabridin treatment. In addition, end-to-initial dialysate concentration of glucose (D4/D0 glucose), dialyzer clearance of urea (K), dialysis time (t), volume of distribution of urea (V), peritoneal transport status as well as dialysate cancer antigen 125 (CA125) were also compared. Results: The results revealed a significant increase in mean dialysate CA125 after glabridin treatment (25.6 ± 2.7 U/mL) compared with baseline value (19.7 ± 3.2 U/mL). However, serum hs-CRP, VEGF, TGF-β, CTGF, daily ultrafiltration, D4/D0 glucose, Kt/V, and peritoneal transport status remained unaffected. Residual glomerular filtration rate in all the patients decreased. Glabridin treatment also led to a decrease in the decline of peritoneal function, suppression of elevation of profibrotic markers, and increased mesothelial cell mass in PD patients. Conclusion: Thus, glabridin is a potent candidate for the treatment of residual kidney function in dialysis patients. Keywords: Glabridin, Residual renal function, Peritoneal function, Dialysate, Profibrotic markers, Mesothelial cell mass, Glomerular filtration rate
Cutoff Wavenumbers of Multilayered Gyrotropic Circular Waveguides

A coupled-field volume integral equation (CFVIE) method is developed for the calculation of the normalized cutoff wavenumbers of circular metallic walled waveguides having concentric continuously varying highly inhomogeneous gyrotropic (i.e., gyroelectric and gyromagnetic) infill. The normalized cutoff wavenumbers are obtained as the roots of a determinantal equation formed by solving the CFVIEs using the cylindrical Dini series expansion (CDSE) method where the unknown fields inside the waveguide are expanded by entire domain orthogonal Dini-type vectorial basis functions. To account for the electric boundary condition (BC) on waveguide’s circular perfect electric conducting (PEC) surface, two modified 2-D tensorial Green’s functions (GFs), expanded in cylindrical vector wave functions (CVWFs), are employed in the kernels of the CFVIEs. These modified 2-D tensorial GFs are constructed by enforcing, on their dyadic form, the satisfaction of the electric BC. The CDSE, along with the modified 2-D tensorial GFs, allow for the analytical integration of the volumetric-type integrals and the reduction of the CFVIEs to a set of algebraic equations. We exhaustively demonstrate the validity of the CFVIE-CDSE by a series of comparisons on the normalized cutoff wavenumbers: we first construct the solutions for obtaining the normalized cutoff wavenumbers in homogeneous gyrotropic waveguides by the separation of variables method (SVM), and second, we employ HFSS commercial software for two-layered isotropic and three-layered gyroelectric loaded waveguides. We characterize the type of modes, i.e., TE/TM or hybrid HE/EH, for each configuration presented, and discuss the efficiency of the CFVIE-CDSE method.
Superior Electrochemical Performance of Graphene via Carboxyl Functionalization and Surfactant Intercalation

Superior capacitance of carboxyl functionalized and surfactant-intercalated graphene were prepared by a relatively simple with two-step solution-based processing technique. In comparison to pristine graphene, surface car- boxyl functionalization and surfactant intercalation can tailor its specific capacitance from 50 F/g to 230 F/g. Mean- while, the modified materials retain more than 95% of their capacitance after 800 charge-discharge cycles, demon- strating good cyclic stability. Surfactant itself cannot improve the performance of pristine graphene as graphene inter- calated with surfactant has a specific capacitance of 45 F/g, however, carboxyl groups can dramatically enhance spe- cific capacitance to 130 F/g. The excellent performance of functionalized graphene emphasizes the importance of con- trolling its surface chemistry.
Evaluation of emergency driving behaviour and vehicle collision risk in connected vehicle environment: A deep learning approach

In the latest connected vehicle (CV) message standards, including SAE J2735-2016 and T-CASE 53–2017, the basic safety messages (BSMs) are designed speciﬁcally as effective measures for trafﬁc safety management and applications. In this study, a testbed on the Nanchang-Jiujiang Intelligent Highway in Jiangxi, China is illustrated as an example, and the basic architecture and key technologies is introduced for a proactive trafﬁc safety util-isation, where the core basic safety message (BSM) data are sorted and implemented to perceive and predict risky driving behaviours in a ﬁeld environment. On this basis, an accurate insight into time-critical driving safety issues can be achieved by investigating raw BSM data, such as the inter-vehicle distance, driver manipulation, vehicle speed, and acceleration/deceleration. Furthermore, to effectively take advantage of connected vehicle information and perceive the high uncertainty of driving behaviours during an emergency situation and evaluate the driving safety in mixed trafﬁc scenarios, a long short-term memory (LSTM) based deep learning framework is introduced to build a multi-horizon vehicle crash risk prediction model using continuous BSMs as the inputs. The experimental results demonstrate the signiﬁcance of connected vehicle data and deep learning algorithms for improving driving safety and promoting widespread deployment and application of connected vehicles.
Voluntary carbon offsetting and consumer choices for environmentally critical products—An experimental study

Purchases of voluntary carbon offsets (VCOs) are growing tremendously. At the same time, the number of activities and products for which VCOs are available is increasing. Experts discuss whether offering VCOs is exclusively associated with positive effects on the environment or if it instead may lead to increased consumption of environmentally critical products. To date, empirical evidence on such adverse effects is scarce. Therefore, this study uses a randomized controlled trial design to investigate how the availability of VCOs affects consumers' choices for environmentally critical products. The results suggest that when VCOs are available, the likelihood of environmentally critical consumption increases. From a mental accounting perspec-tive, our findings support the theoretical rationale of VCOs as an instrument for moral licensing. Additionally, our results indicate that individuals tend to trivialize the harmfulness of the environmentally critical product and overestimate the effectiveness of VCOs for environmental protection, which we consider strategies for reducing cognitive dissonance and guilt.
Earnings and Liquidity Factors

Abstract A model with factors for earnings, liquidity, their respective growth, and the market can offer a consumption rationale with low pricing error. It also subsumes one-year momentum and momentum net of reversal, the factor commonly known as ‘momentum. ’ These earnings and liquidity factors are all significant and combine for a model without factor redundancy. Motivated by investors’ ability to establish positions, we construct portfolios based on volume, and reconcile liquidity into reduced form characteristics-based factor models that compliment firm-based factors.
A model of humidity sensor with a Mg-based ferrite

The microstructure and the humidity sensitivity of MgFe 2 O 4 + CaO, Mg 0 , 5 Cu 0 , 5 Fe 1 , 8 Ga 0 , 2 O 4 , Mg 0 . 5 Zn 0 . 5 Fe 2 O 4 + KCl and MgMn 0 . 2 Fe 1 . 8 O 4 ferrites were investigated. We have found that the humidity sensitivity largely depends on composition, crystallite size, surface area and porosity. The best results concerning humidity sensitivity were obtained for MgMn 0 . 2 Fe 1 . 8 O 4 ferrite. The Mn ions enhance the humidity sensitivity of the Mg ferrite and assure a fine granulation of ferrite.
Superresolution Imaging With a Deep Multipath Network for the Reconstruction of Satellite Cloud Images

Satellite cloud images play an important role in weather analysis and forecast. High‐resolution satellite images play a significant role in the study of mesoscale weather systems such as typhoons. With the increasing demands of locating and tracking techniques, the resolution of satellite images is no longer satisfactory. Enhancing their resolution with superresolution (SR) methods can help in identifying and locating weather systems. In this paper, we propose a multipath network model, called SRCloudNet, that involves joint training of a back‐projection network and a local residual network. SRCloudNet integrates features extracted from back‐projection units and residual dense blocks to achieve more accurate image reconstruction. We also developed a novel natural‐color cloud and contrail image data set, constituting the first‐ever satellite cloud image data set established for SR research. Because of the special features, contrail images were first used to test the performance of SRCloudNet. Extensive experiments demonstrated that SRCloudNet achieves superior performance.
Human Factor Issues in Remote Ship Operations: Lesson Learned by Studying Different Domains

The idea of remote controlling ships for operational and commercial uses has developed beyond concepts. Controlling and monitoring vessels from a distant location requires updating the concept and requirements of shore control centers (SCCs), where human operators control the fleet via cameras, GPS, and many other types of sensors. While remote ship operation promises to reduce operational and maintenance costs, while increasing loading capacity and safety, it also brings significant uncertainty related to both the human-machine and human-human interactions which will affect operations. Achieving safe, reliable, and efficient remote ship operations requires consideration of both technological, cultural, social and human factor aspects of the system. Indeed, operators will act as captain and crew remotely, from the SCC, introducing new types of hardware and software interactions. This paper provides an overview of human factor issues that may affect human-machine and human-human interactions in the course of remote ship operations. In doing so, the literature related to remote operations in the domains of shipping, aerial vehicles, cranes, train transportation, automobiles, and mining is reviewed. Findings revealed that human factor issues are likely to fall into 13 distinct groups based on the type of human interactions that take place in SCCs.
Passivity in the face of distant others’ suffering: an integrated model to explain behavioral (non-)response

ABSTRACT When media users are exposed to the suffering of distant others, they are often deeply moved and feel the urge to help. Yet, they tend to stay passive. Communication scholars have not produced a sufficient and succinct understanding of this gap between media-induced awareness and behavioral non-response. Our knowledge is dispersed across (a) interpretative audience reception studies on mediated distant suffering and (b) post-positivist media effects research on persuasion processes and attitude-action-gaps. By synthesizing work from both traditions, I develop an integrated model and provide an explanation for passivity despite media-induced awareness. I demonstrate how cross-fertilization between these two bodies of literature can instigate theory development within both fields. Finally, my model can catalyze future interdisciplinary research on the subject.