SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Behavioural Investigative Advice: Assistance to Investigative Decision-making in Difficult-to-detect Murder

This paper considers the role of a Behavioural Investigative Adviser (BIA) in assisting with the decision-making of a Senior Investigating Officer (SIO) in difficult-to-detect murder investigations. It outlines the need for transparent evidence-based decision-making from both the SIO and the BIA. The paper then details a piece of relevant, applied research that can assist in this end. The research utilised a pragmatic psychology approach to analyse 312 detected murder cases from the Serious Crime Analysis Section database. Some significant patterns relating what is known about the offence at different stages of an investigation and inferences regarding the offender were found, indicating that certain offence information can lead to some reliable predictions and these can be refined as more information becomes available. However, the findings also indicate that base rate frequencies and a 'best-guess' methodology may be as, if not more, useful than more complex statistical techniques when providing advice to investigations.
Factors influencing users to use unsecured wi-fi networks

Security experts often question why some users take actions that could expose them to security and privacy risks. Using unsecured Wi-Fi networks is one common example. Even though mobile data is now a more secure means to connect to the Internet, and is becoming faster and more affordable, many users continue to use unsecured Wi-Fi. To identify risk mitigating strategies, the research community first needs to understand the underlying factors driving users' decisions. Previous studies examined stated preferences --- what people said they have done or think they would do --- but that may not truly reflect real-life behavior. This study is the first to examine revealed preferences --- what people actually do in naturalistic settings. Specifically, we investigated how users' desire to save mobile data and battery power influenced their decisions at the time when they connected to open unsecured Wi-Fi in the wild. We also examined whether the decision to use unsecured Wi-Fi networks could be driven by demographic factors and the user's perception of the risk associated with using these networks. We recruited 71 participants in the UK to install My Wi-Fi Choices, our own Android app, on their mobile device, and run it for three months in the background. The app captured details of mobile data allowance and battery power on participants' devices whenever they used open unsecured Wi-Fi networks. We found that depleting mobile data significantly drove participants to use these networks, especially when their remaining allowance reached approximately 30%. Battery level, however, did not play a significant role. The perceived risks of unsecured Wi-Fi did not affect the decision-making either. Age, education, and income level were also correlated with increased use of unsecured Wi-Fi.
From biopigments to bioelectronics: modelling semiconducting eumelanin-based interfaces

The overall aim of this proposal is to build a comprehensive model of ionic and electronic transport in organic bioelectronics considering a prototypical material, eumelanin, as a proof of concept. Bioelectronic devices are used in nanomedicine for implantable, wearable and sensing applications. Eumelanin is a natural biocompatible semiconductor with great potential in bioelectronics due to its joint electronic and ionic conductivity. However, a full picture of its interactions with water and electrolytes and how these influence its semiconducting properties is still missing, thus holding back a systematic improvement of eumelanin-based devices. This project will provide the first unified picture of eumelanin’s mixed conduction by simulating electronic and ionic charge transport at device-relevant scales and combining them in a numerical model. This will be achieved through four innovative steps towards eumelanin characterisation:  i) reactive molecular dynamics (MD) simulations will capture the details of water-eumelanin interactions;  ii) a classical MD approach will describe ionic conduction in hydrated eumelanin;  iii) electronic structure methods will relate eumelanin’s morphology to its electronic conductivity.  iv) The previous insight will be combined in a model describing mixed conduction in eumelanin-based devices, allowing the formulation of general design rules for the development of new bioelectronic materials. Planned collaborations with leading groups in eumelanin bioelectronics will provide experimental data to build and validate the model, resulting in high-impact publications and contributing to European competitiveness in bioelectronics. The complementary nature of the researcher and host’s research profiles is instrumental in fulfilling the complex, interdisciplinary aims of the project. The Fellowship will allow the researcher to expand her knowledge beyond her existing skills, enabling her transition  towards an independent academic career.
A feasibility study on the ocean higher altitude strong wind energy utilization system

In the aftermath of the severe tsunamis that followed the Great East Japan earthquake of March 11, 2011, operations at nuclear power plants in Japan were severely curtailed and ocean wind energy utilization began attracting keen interest. Ocean wind utilization currently takes numerous forms worldwide, and fixed or floating type wind turbines with diameters up to 120 m are now in commercial operation in many countries. In this paper, we propose a new approach and discuss the feasibility of using high strong altitude ocean winds to power a simple kite-based generator system. The average high altitude wind speed over ocean areas is between 12 to 14 m/sec depending on the season and region, but stronger and more consistent average wind speeds can be expected at high altitudes in comparison to surface level winds. Our proposal is based on a kite towing system operating at high altitudes that is connected to a ship hull equipped with a propeller, electric generator, and an energy storage system. After calculations aimed at optimization, our estimates indicate this system holds promise as a method for converting constantly blowing high altitude strong ocean winds into useful electric energy.
Regional branch observatories of intelligent markets in Central Europe monitoring technology trends and market developments in the area of smart specializations

Common  challenge faced by all PPs is a missing link between the Regional Innovation Strategies(RIS) monitoring and real needs of smart specialisations(SmartS) of end users. There is no methodical support on national level and no tools for benchmarking. Each region gathers data but in different structure,sometimes not having any monitoring institution.
Main objective of the projects is to fill in this gap and build a link between the RIS and end users.
This can be done by elaborating model for Regional Branch Observatories(RO),equipped with a set of monitoring and benchmarking tools, available to all RIS stakeholders and intelligent markets’ actors.
As the project will coincide with mid-term evaluation of RIS, PPs will elaborate policy recommendations for EU commission, based on international pilot projects and research results; a network of RO will enable national and EU authorities to monitor RIS implementation across EU. Based on SmartS in PPs regions specific technology areas were  selected, for which tools and knowledge management services for RO will be elaborated -health, life science, ICT, future services, sustainable production technics and Industry 4.0. Project approach ensures defining needs of all RIS stakeholders, as representatives of target groups(TG) from each PP region will be involved in the process(participatory approach). Involvement of those TGs will ensure results elaborated cover all RIS markets in CE.
The RIS and SmartS topics were already tackled by several projects within Interreg frames and outside, however none of them was concentrated and dealt with monitoring. This missing part becomes a significant problem concerning the mid-term evaluation of RIS and need for changes in direction EU policy is heading. This steps can be done only within the frames of international actions. CE regions involved in this project cover 32% of EU member states,which gives significant probe that can be used as a benchmark for the entire EU.
Defining care products to finance health care in the Netherlands

A case-mix project started in the Netherlands with the primary goal to define a complete set of health care products for hospitals. The definition of the product structure was completed 4 years later. The results are currently being used for billing purposes. This paper focuses on the methodology and techniques that were developed and applied in order to define the casemix product structure. The central research question was how to develop a manageable product structure, i.e., a limited set of hospital products, with acceptable cost homogeneity. For this purpose, a data warehouse with approximately 1.5 million patient records from 27 hospitals was build up over a period of 3 years. The data associated with each patient consist of a large number of a priori independent parameters describing the resource utilization in different stages of the treatment process, e.g., activities in the operating theatre, the lab and the radiology department. Because of the complexity of the database, it was necessary to apply advanced data analysis techniques. The full analyses process that starts from the database and ends up with a product definition consists of four basic analyses steps. Each of these steps has revealed interesting insights. This paper describes each step in some detail and presents the major results of each step. The result consists of 687 product groups for 24 medical specialties used for billing purposes.
Improved Poly(vinyl alcohol) (PVA) based matrix as a potential solid electrolyte for electrochemical energy conversion devices, obtained by gamma irradiation

Abstract PVA (Poly(vinyl alcohol)) matrixes were developed for potential application in electrochemical energy conversion devices, like batteries, alkaline fuel cells and electrolyzers. They were prepared by ɣ-irradiation of aqueous PVA solutions, followed by different post irradiation treatments. By immersion in an electrolyte they become membranes with high ionic conductivities. The treatments were shown as the key factor determining the conductivity, through affecting their structure. An improved structure has large fractional free volume, and allows high electrolyte uptake and thus high conductivity (0.30 S cm −1 –0.34 S cm −1 ). The structure, as well as the conductivity , has not been changed even after a period of 14 months, although the membranes have been exposed to strong alkaline medium. Besides high and long-term conductivity of the KOH doped membranes, other important properties for application in the devices were investigated, like thermal stability and gas crossover through the membranes. The 10%PVA 25kGy membrane doped with saturated LiNO 3 solution was tested in a rechargeable aqueous Li-ion battery. Due to its high conductivity it allowed an electrode material to have the same coulombic efficiency as it would have in liquid LiNO 3 , showing good compatibility with the material. All these properties make the memebranes attractive candidates for possible application in the electrochemical devices.
Diterpenoid phytoalexin factor, a <scp>bHLH</scp> transcription factor, plays a central role in the biosynthesis of diterpenoid phytoalexins in rice

Rice (Oryza sativa) produces diterpenoid phytoalexins (DPs), momilactones and phytocassanes as major phytoalexins. Accumulation of DPs is induced in rice by blast fungus infection, copper chloride or UV light. Here, we describe a rice transcription factor named diterpenoid phytoalexin factor (DPF), which is a basic helix-loop-helix (bHLH) transcription factor. The gene encoding DPF is expressed mainly in roots and panicles, and is inducible in leaves by blast infection, copper chloride or UV. Expression of all DP biosynthetic genes and accumulation of momilactones and phytocassanes were remarkably increased and decreased in DPF over-expressing and DPF knockdown rice, respectively. These results clearly demonstrated that DPF positively regulates DP accumulation via transcriptional regulation of DP biosynthetic genes, and plays a central role in the biosynthesis of DPs in rice. Furthermore, DPF activated the promoters of COPALYL DIPHOSPHATE SYNTHASE2 (CPS2) and CYTOCHROME P450 MONOOXYGENASE 99A2 (CYP99A2), whose products are implicated in the biosynthesis of phytocassanes and momilactones, respectively. Mutations in the N-boxes in the CPS2 upstream region, to which several animal bHLH transcription factors bind, decreased CPS2 transcription, indicating that DPF positively regulates CPS2 transcription through the N-boxes. In addition, DPF partly regulates CYP99A2 through the N-box. This study demonstrates that DPF acts as a master transcription factor in DP biosynthesis.
Reliability and validity of the Thai version of the Pediatric Quality of Life Inventory 4.0

The study aimed to evaluate the reliability and validity of the Thai version of the Pediatric Quality of Life Inventory™ 4.0 Core Scales (PedsQL) as a measure of health-related quality of life (HRQOL).The PedsQL items were completed by 2,086 pupils aged 8-15 years and 1,914 parents from four schools, and 100 pediatric outpatients and 100 parents from a University Hospital. Test-retest reliability was conducted in a randomly selected of 150 pupils at a 1-month interval.Internal consistency reliability for the Total Scale score (α = 0.84 self-report, 0.88 proxy-report), Physical Health Summary score (α = 0.76 self-report, 0.79 proxy-report), and Psychosocial Health Summary score (α = 0.74 self-report, 0.85 proxy-report) exceeded the minimum reliability standard of 0.70. School children had significantly higher mean HRQOL scores compared to those with chronic health conditions for all subscales with the mean differences of 3.1-12.4 for self-report (p < 0.03) and 7.7-15.6 for proxy-report (p < 0.001). Test-retest reliability showed intraclass correlation coefficients above 0.60 in all subscales (p < 0.001).The Thai version of PedsQL had adequate reliability and validity and could be used as an outcome measure of HRQOL in Thai children aged 8-15 years.
METHOD AND APPARATUS FOR MACHINING WORK PIECES

A method and apparatus are provided to machine a curved surface such as an inner or outer peripheral surface of a pipe. The pipe (12) is held stationary during machining and a rotatable spindle of a machine head (16) moves along multiple orthogonal axes to align the rotational axis of the spindle with the longitudinal pipe axis. Preferably, the pipe axis is located by using a touch probe to engage the curved surface at multiple spots for calculating the location of the pipe axis. The cutting tool, which is preferably a cutting tool insert, is rotated by the spindle to machine the curved surface.
METHODS OF REMOVING A WELLBORE ISOLATION DEVICE USING A EUTECTIC COMPOSITION

A wellbore isolation device comprises: a first composition, wherein the first composition comprises: (A) a first substance; and (B) a second substance, wherein the first composition has a solid-liquid phase transformation temperature less than the solid-liquid phase transformation temperatures of at least the first substance or the second substance at a specific pressure. A method of removing a wellbore isolation device comprises: increasing the temperature surrounding the wellbore isolation device; and allowing at least a portion of the first composition to undergo a phase transformation from a solid to a liquid. A method of inhibiting or preventing fluid flow in a wellbore comprises: decreasing the temperature of at least a portion of the wellbore; positioning the wellbore isolation device in the at least a portion of the wellbore; and increasing the temperature of the at least a portion of the wellbore.
Design and Analysis of a Novel Parallel Metamorphic Mechanism

3-UPU parallel mechanisms, whose axes of hooke joint on base plate and moving plate fit different geometric constraints, can have translational or orientational output. A configuration-switch mechanism for 3-UPU parallel mechanism is designed based on the theory of metamorphic that change the orientations of kinematic pairs can lead to configuration transformation. This mechanism consists of two identical kinematic chains fixed on base plate and moving plate respectively. In order to change output and design a novel parallel metamorphic mechanism, the joint of two identical kinematic chains transforms to make axes of hooke joints change between parallel and jointed. A proper configuration-switch position affects the working performance of consequent configuration, since metamorphic mechanisms have multigroup couple relationship. Screw theory is adopted to calculate the DOF of this parallel metamorphic mechanism in different configuration respectively. Taking the mechanisms' workspace for example, the effect of the configuration-switch position on working performance of mechanisms in different configuration is analyzed.
A spatially explicit model to identify suitable sites to establish dedicated woody energy crops

Abstract Biomass has gained considerable attention in the southern United States (US) mainly because of its potential to partially replace fossil fuels and develop a sustainable bioenergy industry. Dedicated energy crops could offer a reliable and sustainable biomass supply, but there is limited research identifying suitable sites and evaluating their economic feasibility. This study developed a model to identify potential sites to establish dedicated energy crops based on the economic feasibility of short rotation woody crops. Site suitability was based on site-specific woody biomass yield, production costs, and delivered biomass prices. Transportation costs including off-road and on-road transportation costs were based on travel time from each potential plantation site to the nearest conversion facility. Break-even biomass amounts were obtained by considering production costs and biomass price, and potential biomass yield was estimated based on site index. Break-even biomass amounts were then compared with potential biomass yields to determine suitable sites to establish dedicated energy crops. To illustrate the applicability of the model, it was applied to a four-county test area in northern Kentucky with a diverse land cover and ownership, relatively extensive transportation network, and presence of existing conversion facilities, conditions which are common in the Ohio River Valley region and much of the southern US.
Quantification of hearing loss in patients with posterior semicircular canal dehiscence

Patients with posterior semicircular canal dehiscence (PSCD) have low frequency conductive hearing loss similar to patients with superior semicircular canal dehiscence (SSCD) secondary to a pathologic third window.PSCD can result in conductive hearing loss, but the magnitude of this hearing loss remains to be quantified. Patients with SSCD have been shown to have low frequency conductive hearing loss. The underlying pathophysiology of hearing loss from PSCD and SSCD is similar and related to a pathologic third window.A PubMed search was completed for a meta-analysis of patients with PSCD. Articles with quality audiograms were obtained. Air conduction thresholds for ears with posterior semicircular canal dehiscence were compared to the opposite ear as well as normal control data.Eight articles with 21 patients with PSCD and quality audiograms were included. Two patients had bilateral PSCD and one of those was excluded because hearing thresholds were at the limit of the audiometer. Patients with posterior semicircular canal dehiscence have statistically significant lower air conduction thresholds in frequencies at and below 2000 Hz.
A set of experiments on renewable energy for elementary schools in Lebanon

Ages are passing and the world is consuming nonrenewable energy sources at an exponential rate. Luckily, humans have started to raise the alert bit by bit in the world of adults, officials, and even universities. However, the world of teenagers seems to be off the alerting map. This is a huge mistake considering that young minds are more capable than any adult to understand and raise a certain cause. This is why aiming out for these youngsters should be the primary concern on the agenda of any “Go Green” movement or organization. There is primordial need to integrate the renewable energy concept in a very simplified way to elementary school students who, with the correct education, could turn into a powerful green weapon for the crude black future. Hence, in this work, several alteration propositions are made to update and reshape the book chapters on electricity given to students by adding the components of renewable energy as energy sources for a better future. The end product of this research is a toolbox, a “Go Green” box, that contains a booklet consisting of a wide spectrum of renewable energy experiments. This box can be used at schools for a pair of partners and would guide them in the protocol step by step to reach the conclusion. It would therefore make them understand by themselves the benefits of the investigated renewable energy source.
Progress in Study on Predicting Binding Affinity between Ligand and Protein

The prediction of protein-ligand binding affinity is one of the most important tasks in Computer-Aided Drug Design.Researchers have undertaken extensive experiments to obtain better tools for prediction since 1980s,and many new methods have been developed in compliance with the progress of novel theories and techniques in recent years.Now researchers have been allowed to choose a method more suitabe for the required task,due to the diversity of the prediction tools.However,most of the methods have their limitations and there aren't any so-called universal methods.At the same time,their accuracy need to be further improved also.With the appearance of such a huge amount of structural information,developing methods with efficiency and accuracy has become an imperative and interesting field of research.This paper focuses on the methods used in prediction of binding affinity and their applications in Computer-Aided Drug Design,hoping to promote the development of researches and applications in these new algorithms.