Miracle-dz/UniFAR-FTUs huggingface dataset:
Carcass and meat quality characteristics of lambs reared in different seasons

Abstract. Thirty-six Kivircik male lambs were used to determine the effects of rearing season (winter rearing – WR; spring–summer rearing – SSR; and autumn rearing – AR) on carcass and meat quality characteristics. Average daily gain in the period 0–134 days, final weight, cold carcass weight and real dressing percentage were higher in WR lambs than lambs from SSR and AR groups. Furthermore, SSR and AR lambs did not show significant differences for these traits (P > 0.05). WR lambs had the highest values in terms of back fat thickness, subjective carcass fatness score and fat percentage in pelvic limb, which gives information about the carcass fatness. Final meat pH, expressed juice and meat lightness 1 h after cutting were higher for SSR lambs than for WR and AR lambs. SSR lambs had the lowest scores in terms of flavour intensity, flavour quality and overall acceptability in the sensory evaluation panel. In conclusion, WR lambs yielded better carcass quality than SSR and AR lambs. When the rearing season is to be decided, the higher carcass quality of WR lambs and the lesser appreciation of meat of SSR lambs by consumers should be considered.
An Data Analytics Applied for Crime Identification over IOT

: Data mining is the quest for knowledge in databases to uncover previously unimagined relationships in the data. This paper proposes to apply Decision tree in suspected e-mail detection (e-mails about criminal activities). Deception theory suggests that deceptive writing is characterized by reduced frequency of first person pronouns and exclusive words and elevated frequency of negative emotion words and action verbs. We applied this model of deception to the set of e-mail dataset, then applied ID3 algorithm to generate the decision tree. The decision tree that is generated is used to test the e-mail as suspicious or not. In particular, we are interested in detecting fraudulent and possibly criminal activities from such data.
Photometric Observations of a Very Young Family-Member Asteroid (832) Karin

Asteroid (832) Karin is the largest member of the Karin family which was re- cently identified and estimated to be 5.8 Myr old by Nesvorny et al. (2002) with a sophisticated numerical integration technique. The Karin family is regarded as an outcome of a collision in such recent times. In order to make clear the physical aspect of this family-forming event, we performed photometric observations of Karin from July to September, 2003. We report here its lightcurve and colors in optical bands. The rotational period of asteroid Karin was determined to be 18.346 ± 0.096 hr. Its absolute magnitude (H) and the slope parameter (G) of the phase curve at R-band are 11.49 ± 0.02 and 0.19 ± 0.04, respectively. Based on our color observations, we confirmed that this asteroid belongs to the S-type asteroid group. Moreover, we prob- ably found that there is a color variation over the surface of Karin. We infer that the color variation is due to the difference between the fresh surface excavated by the family-forming disruption and the weathered surface exposed to the space radiation and particle bombardment for a long time.
Predictive value of baseline C-reactive protein for periprocedural myocardial infraction of higher risk stratifications: A retrospective cohort clinical study

Objective: It is controversial whether preprocedural elevated high sensitivity C-reactive protein (CRP) could increase the incidence of periprocedural myocardial infraction (PMI) of higher risk stratifications. The primary aim of this study was to evaluate whether preoperative elevated CRP level was related to the incidence of PMI in patients who underwent percutaneous coronary intervention (PCI). Methods: A total of 4.426 patients [66 y (59, 75); 72.3% males] with normal preprocedural cardiac enzymes were prospectively divided into two groups; the elevated CRP group was defined as CRP >3 mg/L, which was approximately 30.4% of the patients. The relationship between CRP and the incidence of PMI was established by multivariate logistic regression analysis, and multivariate linear regression analysis was used to assess the correlation between CRP and the severity of myocardial injury. Results: The incidence rates were similar between the two groups with periprocedural myocardial minor necrosis (34.23% versus 32.74%, p=0.607), but significantly differed based on the 2007 (defined as cardiac enzymes >3-fold elevations), 31.25% in high CRP group versus 26.25% in low group [odds ratio (OR) 1.19; p=0.046] and the 2012 universal PMI (defined as cardiac enzymes >5-fold elevations with at least one clinical evidence, such as chest pain, ECG changes or imaging diagnosis of heart ischemia), 19.79% versus 15.35% (OR 1.26, p=0.023); besides, the PMI ratios increased in line with the elevation of CRP (p=0.006 for the 2007 and p=0.011 for the 2012 universal PMI). However, no significant linear relationship was found between CRP and high sensitivity cardiac troponin I peak post-PCI. Conclusion: Elevated baseline CRP was an independent risk factor for the incidence of the 2007 and the 2012 universal PMI rather than minor necrosis. However, CRP may not correlate with the severity of minor myocardial necrosis in patients with PMI.
Applications of Oxygen-Carrying Micro/Nanobubbles: a Potential Approach to Enhance Photodynamic Therapy and Photoacoustic Imaging

Microbubbles and nanobubbles can be prepared using various shells, such as phospholipids, polymers, proteins, and surfactants. They are echogenic and can be used as contrast agents for ultrasonic and photoacoustic imaging. These bubbles can be engineered in various sizes as vehicles for gas and drug delivery applications with novel properties and flexible structures. Hypoxic areas in tumors develop owing to an imbalance of oxygen supply and demand. In tumors, hypoxic regions have shown more resistance to chemotherapy, radiotherapy, and photodynamic therapies. The efficacy of photodynamic therapy depends on the availability of oxygen in the tumor to generate reactive oxygen species. Micro/nanobubbles have been shown to reverse hypoxic conditions and increase tissue oxygen levels. This review summarizes the synthesis methods and shell compositions of micro/nanobubbles and methods deployed for oxygen delivery. In addition, the shortcomings and prospects of engineering micro/nanobubbles are discussed for their potential use in photodynamic therapy.
A Train Integrity Solution Based on GNSS Double-Difference Approach

BIOGRAPHIES Alessandro NERI is Full Professor in Telecommunications at the Engineering Department of the ROMA TRE University. In 1977 he received the Doctoral Degree in Electronic Engineering from “Sapienza” University of Rome. In 1978 he joined the Research and Development Department of Contraves Italiana S.p.A. where he gained a specific expertise in the field of radar signal processing and in applied detection and estimation theory, becoming the chief of the advanced systems group. In 1987 he joined the INFOCOM Department of “Sapienza” University of Rome as Associate Professor in Signal and Information Theory. In November 1992 he joined the Electronic Engineering Department of ROMA TRE University as Associate Professor in Electrical Communications, and became full professor in Telecommunications in September 2001. His research activity has mainly been focused on information theory, signal theory, and signal and image processing and their applications to both telecommunications systems and remote sensing. Since December 2008, Prof. Neri is the President of the RadioLabs Consortium, a non-profit Consortium created in 2001 to promote tight cooperation on applied research programs between universities and industries.
Optimal Reasoning About Referential Expressions

The iterated best response (IBR) model is a game-theoretic approach to formal pragmatics that spells out pragmatic reasoning as back-and-forth reasoning about interlocutors’ rational choices and beliefs (Franke, 2011; Jager, 2011). We investigate the comprehension and production of referential expressions within this framework. Two studies manipulating the complexity of inferences involved in comprehension (Exp. 1) and production (Exp. 2) of referential expressions show an intriguing asymmetry: comprehension performance is better than production in corresponding complex inference tasks, but worse on simpler ones. This is not predicted by standard formulations of IBR, which makes categorical predictions about rational choices. We suggest that taking into account quantitative information about beliefs of reasoners results in a better fit to the data, thus calling for a revision of the game-theoretic model.
SurgeryThe Efficacy of Liposomal Bupivacaine in Lumbar Spine

Background: Postoperative pain management in spine surgery holds unique challenges. The purpose of this study is to determine if the local anesthetic liposomal bupivacaine (LB) reduces the total opioid requirement in the first 3 days following posterior lumbar decompression and fusion (PLDF) surgery for degenerative spondylosis. Methods: Fifty patients underwent PLDF surgery in a prospective randomized control pilot trial between August 2015 and October 2016 and were equally allocated to either a treatment (LB) or a control (saline) group. Assessments included the 72-hour postoperative opioid requirement normalized to 1 morphine milligram equivalent (MME), visual analog scale (VAS), and hospital length of stay. Results: LB did not significantly alter the 72-hour postoperative opioid requirement compared to saline (11.6 vs. 13.4 MME, P ¼ .40). In a subgroup analysis, there was also no significant difference in opioid consumption among narcotic-naive patients with either LB or saline. Among narcotic tolerant patients, however, opioid consumption was higher with saline than LB (20.6 MME vs. 13.3 MME, P ¼ .048). Additionally, pre-and postoperative VAS scores and hospital length of stay were not significantly different with either LB or saline. Conclusions: In the setting of PLDF surgery, LB injections did not significantly reduce the consumption of opioids in the first 3 postoperative days, nor did the hospital length of stay or VAS pain scores, compared to saline. However, LB could be beneficial in reducing the consumption of opioids in narcotic-tolerant populations.
Trusting Robots in Teams: Examining the Impacts of Trusting Robots on Team Performance and Satisfaction

Despite the widespread use of robots in teams, there is still much to learn about what facilitates better performance in these teams working with robots. Although trust has been shown to be a strong predictor of performance in all-human teams, we do not fully know if trust plays the same critical role in teams working with robots. This study examines how to facilitate trust and its importance on the performance of teams working with robots. A 2 (robot identification vs. no robot identification) × 2 (team identification vs. no team identification) between-subjects experiment with 54 teams working with robots was conducted. Results indicate that robot identification increased trust in robots and team identification increased trust in one’s teammates. Trust in robots increased team performance while trust in teammates increased satisfaction.
MODIFIED INTRA PREDICTION METHOD FOR DEPTH VIDEO CODING USING MEDIAN FILTER

This paper presents a modified intra prediction method for depth video coding using a median filter. The intra prediction method of H.264/AVC utilizes reconstructed neighbor pixels using the 3-tap interpolation filter to predict the current block. Since depth values are monotonic except for depth discontinuity, we can detect coding errors in the reference pixels. Moreover, when the intra prediction modes predict current block using the conventional interpolation filter, unwanted residual data is induced at the depth discontinuity region. In order to improve the prediction accuracy, we determine neighboring reference pixels using the 5-tap median filter. Then, we predict the current block using modified intra prediction modes with the 3-tap median filter. Using this method, we saved the bits as much as 1.6 to 5.8 %.
The Challenges of Implementing Packaged Hospital Electronic Prescribing and Medicine Administration Systems in UK Hospitals: Premature Purchase of Immature Solutions?

Citation for published version: Mozaffar, H, Williams, R, Cresswell, K, Pollock, N, Morrison, Z & Sheikh, A 2017, The challenges of implementing packaged hospital electronic prescribing and medicine administration systems in UK hospitals: Premature purchase of immature solutions? in M Aanestad, M Grisot, O Hanseth & P Vassilakopoulou (eds), Information Infrastructures within European Health Care: Working with the Installed Base. vol. VI, Health Informatics, Springer, pp. 129-149. https://doi.org/10.1007/978-3-319-51020-0
COMPARATIVE ANALYSIS OF GAUSSIAN AND LINEAR SPECTRAL MODELS FOR COLOUR CONSTANCY

The present work considers the features and advantages of a Gaussian model of spectral functions approximation for solving the colour constancy problem. The peculiarities and advantages of the Gaussian model, as compared with traditional linear approximation models, are examined. The possibility of stable numerical estimation of the reflectance features of object surfaces on the basis of the spectral stimulus captured by a camera at different conditions of scene illumination is demonstrated. The efficiency of colour constancy algorithms that use the Gaussian model is estimated.
Decision-making through evidence integration at long timescales

When multiple pieces of information bear on a decision, the best approach is to integrate the evidence provided by each one. Signatures of evidence integration have been identified in neuronal responses during decision formation, leading many investigations of how the brain produces complex behavior to focus on these computations. Yet, because evidence integration has most often been studied in simple tasks with short timescales of deliberation, it is unknown whether these models can provide a general account of decision-making. Here, we introduce a novel psychophysical paradigm with a long and discontinuous timescale of evidence availability. We show that choice behavior in this task reflects an evidence integration process that can extend over tens of seconds without loss of information due to memory leak or noise. Our results reveal that temporally-extended decisions approximate the normative computations used for rapid sensory discrimination, validating the generality of the evidence integration framework for modeling human cognition.
Applying the Kill Chain and Diamond Models to Microsoft Advanced Threat Analytics

Rapidly evolving cyber attacks and inadequate traditional methods of intrusion detection have increased the need for sophisticated threat detection methods. A new generation of intrusion detection methods, including the Kill Chain and Diamond models, have been introduced to detect Advanced Persistent Threats (APT). These models divide the intrusion process into phases and study the connections between the victim, adversary, infrastructure, and capabilities to provide a greater understanding of the nature of the intrusions. Microsoft has introduced Microsoft Advanced Threat Analytics (MS ATA) as a solution for intrusion detection. In this paper, it is observed how MS ATA detects intrusions using the phases outlined by the Kill Chain and Diamond models. It is shown that MS ATA can successfully detect intrusions in both early and late phases of the Kill Chain model.
Intra-Annual Xylem Production in Aleppo Pine By Means of Periodic Micro-Cores Sampling in the Kroumirie

Climatic factors may have an effect on the production of Mediterranean forests. The radial stem growth is an outstanding process to understand the ecology of a species and the study of the production of cambium cells provides a way to test this hypothesis in natural environment. Histological analysis of stem growth based on periodic wood micro-cores sampling will help building up a chronology of cell production during the growing season. The data used in this study come from four Aleppo pine stands located in the northwestern Tunisia (Kroumirie Forest). This study led to the establishment of a training calendar of the xylem's cells related with meso-climate of 2014 and 2015. This work allowed identifying the concordances between the dynamics of intra annual cambial activity, and the weather data. The construction of cambial cells of Aleppo pine is characterized by a spring growth phase, a summer rest period and winter dormancy. The reaction of a population to the climate and site conditions simulates a decrease in productivity of the radial cells linked to an increase in summer drought.
Architecting Safety Supervisors for High Levels of Automated Driving

The complexity of automated driving poses challenges for providing safety assurance. Focusing on the architecting of an Autonomous Driving Intelligence (ADI), i.e. the computational intelligence, sensors and communication needed for high levels of automated driving, we investigate so called safety supervisors that complement the nominal functionality. We present a problem formulation and a functional architecture of a fault-tolerant ADI that encompasses a nominal and a safety supervisor channel. We then discuss the sources of hazardous events, the division of responsibilities among the channels, and when the supervisor should take over. We conclude with identified directions for further work.
Association Mapping from 1 Sequencing Reads using k-mers 2

Genome wide association studies (GWAS) rely on microarrays, or more recently 11 mapping of sequencing reads, to genotype individuals. The reliance on prior sequencing of a 12 reference genome limits the scope of association studies, and also precludes mapping associations 13 outside of the reference. We present an alignment free method for association studies of 14 categorical phenotypes based on counting k-mers in whole-genome sequencing reads, testing for 15 associations directly between k-mers and the trait of interest, and local assembly of the statistically 16 significant k-mers to identify sequence differences. An analysis of the 1000 genomes data show 17 that sequences identified by our method largely agree with results obtained using the standard 18 approach. However, unlike standard GWAS, our method identifies associations with structural 19 variations and sites not present in the reference genome. We also demonstrate that population 20 stratification can be inferred from k-mers. Finally, application to an E. coli dataset on ampicillin 21 resistance validates the approach. 22
esource-aware MPC for constrained linear systems : Two rollout pproaches

In systems with resource constraints, such as actuation limitations in sparse control applications or limited bandwidth in networked control systems, it is desirable to use control signals that are either sparse or sporadically changing in time. Motivated by these applications, in this paper we propose two resourceaware MPC schemes for discrete-time linear systems subject to state and input constraints. The two MPC schemes exploit ideas from rollout strategies to determine simultaneously the new (continuous) control inputs and the (discrete) time instants at which the control actions are updated. The first scheme provides performance guarantees by design, in the sense that it allows the user to select a desired suboptimal level of performance, where the degree of suboptimality provides a trade-off between the guaranteed closedloop control performance on the one hand and the utilization of (communication/actuation) resources on the other hand. The second scheme provides a guaranteed (average) resource utilization, while cleverly allocating these resources in order to maximize the control performance. By means of numerical examples, we demonstrate the effectiveness of the proposed strategies. © 2017 Elsevier Ltd. All rights reserved.
Fast Inter / Intra Mode Decision based on Cost and Temporal Correlations in P Frames

In this paper, we aim to reduce the encoding complexity in H.264/AVC. We focus on the rate-distortion cost (RD cost) and temporal correlations to reduce the complexity. We apply the proposed algorithm in inter modes: SKIP, 16×8, 8×16, and P8×8 and intra modes: Intra 4×4 and Intra 16×16 which the occurrence ratios are low. Experimental results show the proposed method provides approximately 50% encoding time savings on average with slightly increased bit-rate and with negligible loss of peak signal-to-noise ratio (PSNR), compared to the H.264/AVC fast high complexity mode. Keywords-component; H.264/AVC, Video coding, Ratedistortion optimization, Mode decision, Temporal correlation, Ratedistortion cost
Subjective Well-Being, Psychological Well-Being, and Islamic Religiosity

Attention and study of the problem of happiness and prosperity in the field of psychology are specifically motivated by the positive psychology movement. Positive psychology is a new movement in the disciplines of psychology that emphasizes on the exploration of potentials in human beings. Well-being in the context of positive psychology evolved in two different approaches – hedonic and eudemonic approaches – also referred to as SWB and psychological well-being. Research on the development of well-being has entered the discourse of whether the two approaches are of identical or distinct constructs. This study aims to investigate whether the SWB and psychological well-being are indistinguishable constructs, and to scrutinize the relationship between these two constructs with religiosity. Data were collected from questionnaires filled out by 159 students of IAIN Kendari. The results indicate that both constructs of well-being are completely different and are not even related. Of the two constructs of well-being, only psychological wellbeing has a significant correlation with religiosity.
Computational and Symbolic Anonymity in an Unbounded Network

We provide a formal model for protocols using ring signatures and prove that this model is computationally sound: if there is an attack in the computational world, then there is an attack in the formal (abstract) model. Our original contribution is that we consider security properties, such as anonymity, which are not properties of a single execution trace, while considering an unbounded number of sessions of the protocol.
Bootstrapping both Product Properties and Opinion Words from Chinese Reviews with Cross-Training

We investigate the problem of identifying both product properties and opinion words for sentences in a unified process when only a much small labeled corpus is available. Naive Bayesian method is used in this process. Specifically, considering the fact that product properties and opinion words usually co-occur with high frequency in product review articles, a cross- training method is proposed to bootstrap both of them, in which the two sub-tasks are boosted by each other iteratively. Experiment results show that with a much small labeled corpus cross-training could produce both product properties and opinion words which are very close to what Naive Bayesian Classifiers could do with a large labeled corpus.