Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Investigation Of Surface Roughness Effects On The Flow Field In A Swirl Flow

Bu cal i s man i n amac i , bir siklondaki girdapl i ak i s ta yuzey puruz yukseklik de g erinin etkisinde eksenel ve te g etsel h i z profilleri, turbulans yay i n i m oran i , turbulans enerjisi ve bas i nc kay i plar i n i n ara s t i r i lmas i d i r. Bu ak i s icin korunum denklemleri Fluent CFD kodu kullan i larak cozulmu s tur. I lk olarak say i sal model ve cozum alan i n i n do g rulanmas i icin elde edilen veriler deneysel sonuclarla kar s i la s t i r i larak modelin do g rulamas i yap i lm i s t i r. Giri s h i z i 10-20 m/s aras i nda ve puruz yuksekli g i 0 ile 4 mm aras i nda de g i s tirilerek, h i z profilleri, turbulans parametreleri ve bas i nc kay i plar i uzerindeki etkileri incelenmi s tir. Analiz sonucunda puruz yuksekli g i artt i kca bas i nc kay i plar i n i n azald i g i ve h i z alan i n i n onemli derecede etkilendi g i gorulmu s tur.
Metabolic stress induces modifications in the epigenetic program of preimplantation bovine embryos

The mammalian embryo is sensitive to and adapts to its metabolic environment. The mother's metabolic health and nutrient availability, for example, can modulate the oviductal fluid composition and thus embryo development. In this project, we induced energetic stress in bovine embryos during early culture to observe the epigenetic responses associated with metabolic stress, using a treatment paradigm known to decrease blastocyst rates. Embryos were generated using oocytes from slaughtered cows, and then exposed to an elevated glucose concentration (5 vs. 0.2 mM in control conditions) for the first 3 days post‐fertilization, followed by normal media until the blastocyst stage. The EmbryoGENE platform was then used to identify DNA methylation differences between the two treatments. Probes (450,000) were then analyzed based on their genome location and methylation differences. Our results revealed that elevated glucose led to hypomethylation close to telomeric regions and methylation changes on genomic regions associated with energy metabolism.
The Impact of Nursing Protocols on Continuous Special Observation

BACKGROUND: Continuous Special Observation (CSO) is commonly ordered for patients at risk to injure themselves or others and involves assigning staff to monitor one patient at all times. CSO is intrusive, costly, and often has deleterious effects on patient care. Two nursing protocols were developed as alternative interventions to CSO. The first protocol, Psychiatric Nursing Availability (PNA), was designed to treat patients having suicidal or self-injurious thoughts. The second protocol, Psychiatric Monitoring and Intervention (PMI), was designed to prevent violent and impulsive behavior. These protocols had their genesis in a model that encourages nursing autonomous decision making. OBJECTIVE: Identify the impact PNA and PMI had on the number of CSO and their duration. STUDY DESIGN: Nine-year descriptive retrospective analysis of CSO, PNA, and PMI. The data were collected from the unit 15-minute rounding sheets. Descriptive analyses were performed. Interrupted time series analysis was used to determine how the protocols affected frequency and duration of CSO. RESULTS: PNA did not significantly affect CSO; however, PMI did affect its use. There was a downward trend in the number of CSOs after PMI was implemented by 0.07 episodes per month (p = .0111). The median duration of CSO dropped from 66 hours to 33 hours after PMI was implemented (p = .0004). CONCLUSION: PMI had the greatest impact on CSO. PMI had a secondary effect of increasing staff availability on the unit that affected CSO’s use. The model of nursing care may have influenced this reduction in CSO.
Efficient Interference Mitigation Algorithm using co-operative localization for cognitive radio networks

The efficient spectrum utilization in the modern era has become the most important aspect because most of the licensed users underutilize the spectrum available. However, this cannot be compromised with the freedom of the licensed user. In this paper, an efficient algorithm, Efficient Interference Mitigation algorithm using CoOperative Localization (EIMCOL) has been proposed to reduce the interference at the primary receiver caused due to the cognitive users. In this proposed algorithm, cooperative localization technique like trilateration is used to find the coordinates of the primary users assuming the positions of the cognitive users are already known. The distance between the primary receiver and the secondary transmitter based on the localized coordinates is compared with the transmission range of the secondary transmitter. When the distance between the primary receiver and secondary transmitter is less than the transmission range of the secondary transmitter, the power of the secondary transmitter is adaptively varied to mitigate the interference of the primary user. In this algorithm, RSS information is also used to adjust the secondary transmitter power. Simulation results show that the proposed algorithm provides better capacity and EVM reduction than the existing algorithms.
Narrowcasting in social media: Effects and perceptions

Narrowcasting refers to the targeted segmentation of media dissemination, and has been proposed as a counterpart to broadcasting. We present an explorative study that evaluates narrowcasting as an approach to sharing in online social media. We test a narrowcasting prototype for Facebook with 54 participants over a four-week period. We outline the various strategies that participants used to appropriate narrowcasting, and report on participants' use and perceptions. We also report on the effects of default sharing options and gender on sharing behavior. Our work provides implications for online sharing, suggesting that narrowcasting is an effective strategy for online social platforms.
Vanity, cracks and malware: insights into the anti-copy protection ecosystem

Today, a large amount of software products include mechanisms to counter software piracy. However, most protection mechanisms can be easily circumvented by applying software patches (cracks) or license key generators (keygens) with seemingly no financial incentives. Our research shows that the distribution of cracks and keygens not only allows miscreants to generate revenue (e.g. through advertising or malware infections), but it also leads to high risks for the end-users of pirated software. We collected more than 43,900 download links and analyzed more than 23,100 (3,551 unique) real-world cracks, showing that these tools are heavily used by criminals to spread malware. Our results indicate that even state of the art virus scanners can not fully protect users from these threats. Moreover, we conducted a manual analysis, showing how many cracks and keygens actually work and how much effort is necessary to acquire them. In addition, we made our data-set publicly available to the research community.
Fine-Grained Replication and Scheduling with Freshness and Correctness Guarantees

Lazy replication protocols provide good scalability properties by decoupling transaction execution from the propagation of new values to replica sites while guaranteeing a correct and more efficient transaction processing and replica maintenance. However, they impose several restrictions that are often not valid in practical database settings, e.g., they require that each transaction executes at its initiation site and/or are restricted to full replication schemes. Also, the protocols cannot guarantee that the transactions will always see the freshest available replicas. This paper presents a new lazy replication protocol called PDBREP that is free of these restrictions while ensuring one-copy-serializable executions. The protocol exploits the distinction between read-only and update transactions and works with arbitrary physical data organizations such as partitioning and striping as well as different replica granularities. It does not require that each read-only transaction executes entirely at its initiation site. Hence, each read-only site need not contain a fully replicated database. PDBREP moreover generalizes the notion of freshness to finer data granules than entire databases.
Fault-Tolerant Sensorless Control of a Five-Phase FTFSCW-IPM Motor Based on a Wide-Speed Strong-Robustness Sliding Mode Observer

This paper presents a fault-tolerant sensorless control strategy based on a wide-speed strong-robustness sliding mode observer (SMO) for a new five-phase fault-tolerant fractional-slot concentrated-winding interior-permanent-magnet (FTFSCW-IPM) motor, in which the motor drive system has a high reliability. The designed motor possesses a high fault-tolerant capacity. Also, the fault-tolerant space vector pulse width modulation (SVPWM) strategy and the sensorless control are adopted to further improve the fault tolerance of the control system. Moreover, unlike the existing SMO, the proposed SMO algorithm can achieve enhanced low system chattering, estimated accuracy at low speed, as well as strong robustness to motor parameters, fault and load disturbance. Numerical simulations and experiments with a 2-kW five-phase FTFSCW-IPM motor are carried out. The results verify the feasibility and effectiveness of the proposed fault-tolerant sensorless method adopted by the FTFSCW-IPM motor.
Resolution-based proof for multi-modal temporal logics of knowledge

Temporal logics of knowledge are useful in order to specify complex systems in which agents are both dynamic and have information about their surroundings. We present a resolution method for propositional temporal logic combined with multi-modal S5 and illustrate its use on examples. This paper corrects a previous proposal for resolution in multi-model temporal logics of knowledge.
Attribute-Based Keyword Search Efficiency Enhancement via an Online/Offline Approach

Searchable encryption is a primitive, which not only protects data privacy of data owners but also enables data users to search over the encrypted data. Most existing searchable encryption schemes are in the single-user setting. There are only few schemes in the multiple data users setting, i.e., encrypted data sharing. Among these schemes, most of the early techniques depend on a trusted third party with interactive search protocols or need cumbersome key management. To remedy the defects, the most recent approaches borrow ideas from attribute-based encryption to enable attribute-based keyword search (ABKS). However, all these schemes incur high computational costs and are not suitable for mobile devices, such as mobile phones, with power consumption constraints. In this paper, we develop new techniques that split the computation for the keyword encryption and trapdoor/token generation into two phases: a preparation phase that does the vast majority of the work to encrypt a keyword or create a token before it knows the keyword or the attribute list/access control policy that will be used. A second phase then rapidly assembles an intermediate ciphertext or trapdoor when the specifics become known. The preparation work can be performed while the mobile device is plugged into a power source, then it can later rapidly perform keyword encryption or token generation operations on the move without significantly draining the battery. We name our scheme Online/Offline ABKS. To the best of our knowledge, this is the first work on constructing efficient multi-user searchable encryption scheme for mobile devices through moving the majority of the cost of keyword encryption and token generation into an offline phase.
Reversal of chlorpyrifos neurobehavioral teratogenicity in mice by allographic transplantation of adult subventricular zone‐derived neural stem cells

Neurobehavioral teratogenicity can be reversed with transplantation of neural stem cells. However, the usefulness of this therapy would be greatly enhanced by employing adult stem cells. In pursuit of this this goal, we developed a model that uses subventricular zone (SVZ) cells. HS/Ibg mice were exposed prenatally to chlorpyrifos on gestational days 9–18 (3 mg/kg/day, SC) in order to induce deficits in their performance in the Morris water maze test. Both the control and the exposed offspring were transplanted with SVZ cells (or vehicle) on postnatal day 35; this actually represents an allogenic transplantation, because the HS/Ibg strain is a heterogeneous stock. The transplanted cells were later observed in the host brain by DiI tracing, and their initial differentiation to cholinergic neurons and astrocytes was ascertained. On postnatal day 80, animals that had been exposed prenatally to chlorpyrifos displayed impaired Morris water maze performance, requiring more time to reach the platform. Transplantation of adult SVZ‐derived neural stem cells (NSC) reversed the deficits. Applying autologous transplantation provides an important demonstration that the methodological obstacles of immunological rejection and the ethical concerns related to using embryonic stem cells may be successfully bypassed in developing stem cell therapies for neurodevelopmental disorders. © 2011 Wiley‐Liss, Inc.
Explicit Diversification of Event Aspects for Temporal Summarization

During major events, such as emergencies and disasters, a large volume of information is reported on newswire and social media platforms. Temporal summarization (TS) approaches are used to automatically produce concise overviews of such events by extracting text snippets from related articles over time. Current TS approaches rely on a combination of event relevance and textual novelty for snippet selection. However, for events that span multiple days, textual novelty is often a poor criterion for selecting snippets, since many snippets are textually unique but are semantically redundant or non-informative. In this article, we propose a framework for the diversification of snippets using explicit event aspects, building on recent works in search result diversification. In particular, we first propose two techniques to identify explicit aspects that a user might want to see covered in a summary for different types of event. We then extend a state-of-the-art explicit diversification framework to maximize the coverage of these aspects when selecting summary snippets for unseen events. Through experimentation over the TREC TS 2013, 2014, and 2015 datasets, we show that explicit diversification for temporal summarization significantly outperforms classical novelty-based diversification, as the use of explicit event aspects reduces the amount of redundant and off-topic snippets returned, while also increasing summary timeliness.
Evaluation of the ‘Ladder to the Moon, Culture Change Studio Engagement Programme’ staff training: Two quasi‐experimental case studies

AIM To evaluate the impact of the CCSEP on care home staff in two care settings for older people in one nursing home and one residential home. BACKGROUND Care homes provide personal care and accommodation for older people. The English Dementia Strategy aims to improve the quality of service provision for people with dementia. This includes specific mention of improving the quality of life in care homes and as such includes objectives related to developing the workforce knowledge and skills. The Ladder to the Moon Culture Change Studio Engagement Programme (CCSEP) is a staff training approach based on the Positive Psychology framework that uses theatre- and film-based activities. METHODS This study used a wait-list controlled design. However, the data analysis plan was amended to reflect difficulties in data collection, and a quasi-experimental case study approach was consequently utilised. Outcome measures for staff attitudes and beliefs were as follows: Sense of Competence in Dementia Care Staff; Approaches to Dementia Questionnaire; Job Satisfaction Index; Brief Learning Transfer System Inventory; and Scale of Positive and Negative Experience. The Quality of Interaction Schedule (QUIS) was used to observe changes in staff-resident interaction. RESULTS Fifty staff in two care homes completed the questionnaires and forty-one undertook formal CCSEP training. In Home A (nursing home), there was no significant change in any of the measures. In Home B (residential home), the QUIS showed an increase in positive interactions post intervention; a significant increase in the Building Relationship subscale of Sense of Competence; and a significant increase in staff sense of hopefulness towards people with dementia. The Brief Learning Transfer System Inventory showed a significant decrease post-intervention. The intervention did not significantly affect the happiness or job satisfaction of care home staff. CONCLUSION The results of this study provide tentative evidence about the efficacy of this staff training programme. Some significant improvement in staff attitudes to people with dementia, staff sense of competence and positive staff-resident interactions were found in one of two homes. It is likely that the organisational problems affecting the other care home limited the implementation and therefore efficacy of the intervention there. The results therefore suggest that when a supportive management structure is in place, CCSEP may be more effective in improving staff attitudes, sense of competence and interactions with residents.
Process modelling and optimization of keyhole plasma arc welding of thin Ti-6Al-4V

This article presents a comprehensive piece of research work focused on the development, validation and application of finite element modelling capability for the prediction and optimization of robotic keyhole plasma arc welding of Ti-6Al-4V thin structures. Experimental and computational investigations were carried out to characterize, develop, optimize and validate various aspects of the finite element modelling. The experimental investigations cover the determination of welding parameter envelopes using a robotic welding cell and the measurements of thermal history, distortion, residual stress and weld pool profile. The computational investigations include the development and validation of finite element models as well as the development and validation of a fully automated welding sequence optimization tool using a genetic algorithm approach. The work provides useful guidance and generic methodologies for optimum design of thin and complex lightweight structures and has formed a basis for the development of a framework on structural integrity assessment and component lifing of thin structures fabricated by welding. The optimization tool has significant potential to be conveniently modified to suit other optimization objectives and/or welding processes.
The compression of pulp before and during brown stock washing – Its influence on fibre properties

This work investigated the ways in which strength properties were influenced when paper pulp was subjected to compression, at different dry contents and with variations in pH and temperature, before brown stock washing in order to examine which conditions are acceptable from a strength point of view. The incentive behind this study was to decrease the energy demand in the evaporator plant by increasing the dry content of the black liquor through the removal of as much liquor as possible before the start of the washing process (i.e. decrease the overall dilution factor). After an initial screening experiment, three experimental setups were chosen: A (high compression pressure, low temperature and residual alkali concentration), B (high compression pressure, temperature and residual concentration) and C (low compression pressure and high temperature and residual alkali concentration), which were compared to a reference sample that had not been compressed. The finding was that if the alkali concentration and the temperature were kept low, the compression did not cause any permanent damage (Case A), even though the compression pressure was high. The single fibre strength (as measured by the re-wetted zero span tensile index) and the shape of the fibre (measured as shape factor and number of kinks/mm) for Case A were, in fact, virtually identical with those of the reference sample. However, when the temperature and the alkali concentration were high (Cases B and C), both fibre strength and shape were significantly reduced compared to the reference sample (and A). The tensile index was, however, the same for Case A as for B and C since the WRV and the density were, unexpectedly, higher for Cases B and C. However, the fact that the WRV is higher for B and C than for A at the same tensile index is actually a drawback, since this indicates that Cases B and C will be more difficult to dewater at a given strength.
Music-evoked emotion classification using EEG correlation-based information

The relation between music and emotions has been investigated for decades. Most of the studies focused on short clips and were designed with specific tasks. This paper investigated the emotional states from electroencephalogram (EEG) activities during music appreciation. An emotion evoked experiment paradigm was designed during music appreciation. The EEG signals were recorded in 15 healthy adults during the entire process of music listening. The band power change (BPC) and higher order crossing (HOC) features were extracted from the EEG signals. A correlation-based feature analysis approach was proposed to find the most relevant features in time, frequency and channel space domains. From the results, this method achieved the average accuracy of 67.2% for the classification of high and low valence in the combination of BPC and HOC features. A deeper understanding of the brain emotional patterns could be helpful in building an intelligent and friendly affective application.
Design and Performance of a Segmented Stator Permanent Magnet Alternator for Aerospace

In this paper, a permanent magnet alternator which presently relies on magnetic slot wedges is redesigned to give lower iron loss. The new segmented stator design is used as the basis for a validated loss study—comparing bonded lamination stacks with those held together with a punched notch. Segmentation is shown to improve the production process, reduce losses, and remove the need for wedges, while not significantly altering the acoustic performance. In the first series of prototypes, however, where notching is used to secure lamination packs, the process is shown to have adversely affected material properties of the nickel iron laminations and overall measured losses increased. In the second prototype, with thinner laminations and glued stacks, iron loss predictions and measurement agree and are less than the present slot wedge design.
Switching PID control for an underactuated flying object through model-based prediction

This paper explores switching PID controller for an underactuated flying object through model-based prediction. Helicopter is applied in large field because of flight ability such as vertical ascent, vertical descent and hovering. However the helicopter, which is one of the underactuated flight objects, is complex and has nonlinear dynamics. In this research, controlled target is an underactuated flight object with two inputs and three outputs. The proposed method predicts the system outputs using the model of controlled target, and the control inputs are calculated by using their values. That is, PID gains are switched at each sampling time by the model-based controlled result with time passing virtually. A numerical example is shown to verify the validity of the proposed method.