Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Cognition: Theory and Neuroscience in Fetal Alcohol Spectrum Disorders

Children with fetal alcohol spectrum disorders (FASD) have deficits across many cognitive, behaviour and social domains. However, despite social difficulty being proposed as a main deficit following prenatal alcohol exposure, the nature of their deficient social behaviour is largely unknown. One process that may underlie difficulties in social functioning is poor social cognition, which refers to one’s understanding of the self, others and social world. The primary goal of this dissertation was to determine whether social cognitive deficits represent a core disability underlying the socio-behavioural problems of FASD using a bottom-up approach. The first level of this approach is represented by face processing. Global and independent face feature processing was compared between FASD and normal controls (NC) using experimental and clinical measures. Eye gaze processing was investigated next using experimental and clinical tasks. At the highest level of the bottom-up approach, social perspective taking, including theory of mind and empathy were examined, along with how these abilities related to parent-rated behaviour. Finally, the lowest level consisted of specific aspects of the social neural network. White matter in three limbic pathways was investigated using diffusion tensor imaging (DTI).
The Role of Memory Traces Quality in Directed Forgetting: A Comparison of Young and Older Participants

A reduced directed-forgetting (DF) effect in normal aging has frequently been observed with the item method. These results were interpreted as age-related difficulties in inhibiting the processing of irrelevant information. However, since the performance of older adults is usually lower on items to remember, the age effect on DF abilities could also be interpreted as reflecting memory problems. Consequently, the present study aimed at investigating the influence of memory traces quality on the magnitude of the DF effects in normal aging. We predicted that increasing the quality of memory traces (by increasing presentation times at encoding) would be associated with attenuated DF effects in older participants due to the increased difficulty of inhibiting highly activated memory traces. A classical item-method DF paradigm was administered to 48 young and 48 older participants under short and long encoding conditions. Memory performance for information to memorize and to suppress was assessed with recall and recognition procedures, as well as with a Remember/Know/Guess (RKG) paradigm. The results indicated that, when memory traces are equated between groups, DF effects observed with the recall, recognition and RKG procedures are of similar amplitude in both groups (all ps>0.05). This suggests that the decreased DF effect previously observed in older adults might not actually depend on their inhibitory abilities but may rather reflect quantitative and qualitative differences in episodic memory functioning.
Analytic Hierarchy Process aided Key Management Schemes Evaluation in Wireless Sensor Network

Wireless sensor networks (WSNs) have been widely used in various applications. Since their sensor nodes are resource-constrained and their security primitives need to store a set of security credentials to share a secure channel, key management is one of the most challenging issues in the design of WSN. Currently, various efficient lightweight key management schemes (KMs) have been proposed to enable encryption and authentication in WSN for different application scenarios. According to different requirements, it is important to select the trustworthy key management schemes in a WSN for setting up a fully trusted WSN mechanism. In this context, adaptive methods are required to evaluate those schemes. In this paper, we exploit Analytic Hierarchy Process (AHP) to help with the complex decision. Specifically, we consider the following performance criteria: scalability, key connectivity, resilience, storage overhead, processing overhead and communication overhead. Two case studies are added for verifying our proposal. Via the two case studies, it is verified that our method is able to help selecting a suitable scheme for given requirements.
PRICING AND HEDGING OF PORTFOLIO CREDIT DERIVATIVES WITH INTERACTING DEFAULT INTENSITIES

We consider reduced-form models for portfolio credit risk with interacting default intensities. In this class of models default intensities are modeled as functions of time and of the default state of the entire portfolio, so that phenomena such as default contagion or counterparty risk can be modeled explicitly. In the present paper this class of models is analyzed by Markov process techniques. We study in detail the pricing and the hedging of portfolio-related credit derivatives such as basket default swaps and collaterized debt obligations (CDOs) and discuss the calibration to market data.
Management accounting system for hospitals: a research framework

Purpose – The purpose of this paper is to propose a framework to examine the relationship between contextual factors, management accounting system (MAS) and managerial performance within the health care industry. In particular, it aims to uncover the contextual factors influencing the design of MAS that would enhance managerial performance in Egyptian hospitals.Design/methodology/approach – The premise of contingency theory is utilized to identify the contextual factors that may influence the use of MAS; namely organizational strategy, technology, structure, external environment, and size. The mediating role of MAS on the impact of managerial performance is examined through the extent to which managers use the four information characteristics associated with the design of MAS: scope, timeliness, aggregated, and integrated.Findings – This framework provides clarity in linking the perceived usefulness of MAS information characteristics to managerial performance that has been viewed as problematic by past st.
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle

While machine learning has proven to be a powerful data-driven solution to many real-life problems, its use in sensitive domains has been limited due to privacy concerns. A popular approach known as **differential privacy** offers provable privacy guarantees, but it is often observed in practice that it could substantially hamper learning accuracy. In this paper we study the learnability (whether a problem can be learned by any algorithm) under Vapnik's general learning setting with differential privacy constraint, and reveal some intricate relationships between privacy, stability and learnability. In particular, we show that a problem is privately learnable **if an only if** there is a private algorithm that asymptotically minimizes the empirical risk (AERM). In contrast, for non-private learning AERM alone is not sufficient for learnability. This result suggests that when searching for private learning algorithms, we can restrict the search to algorithms that are AERM. In light of this, we propose a conceptual procedure that always finds a universally consistent algorithm whenever the problem is learnable under privacy constraint. We also propose a generic and practical algorithm and show that under very general conditions it privately learns a wide class of learning problems. Lastly, we extend some of the results to the more practical $(\epsilon,\delta)$-differential privacy and establish the existence of a phase-transition on the class of problems that are approximately privately learnable with respect to how small $\delta$ needs to be.
Guilt and Shame: Environmental Message Framing Effects

The authors examine how two negative emotions—guilt and shame—influence responses to environmental ad messages framed as gains or losses. In Study 1, participants primed with guilt express higher intention to conserve water after they view a gain-framed water conservation ad; participants primed with shame express higher conservation intention after they view a loss-framed ad. Study 2 replicates and supports the proposed matching hypothesis using nonstudent adults. In Study 3, participants react to a recycling ad as they did in Studies 1 and 2 when they expend high effort by transcribing the recycle pledge before they view the ad, but not when they expend low effort by reading the pledge first. The findings overall provide converging evidence for the interplay between negative emotions and message framing. Theoretical and practical implications are discussed for developing environmental advertising message strategies.
QoE-driven bandwidth allocation method based on user characteristics

Network providers are nowadays facing with a big question in allocating network resources due to the constantly increasing of Internet services. While the network resource is not unlimited, users always desire the best quality of experience (QoE) with the huge information exchange. Therefore, finding a justice of network resource allocation based on the user experience is mandatory. In previous studies, network resources were allocated to all users by using a specific utility function without considering the user characteristics. In fact, the network resource consumptions are very different among individual users and directly depend on users' behavior. For instance, the network demands of relax users are usually lower than those of busy users. Thus, allocating the same amount of resources to all users might not meet their expectations. In this paper, we propose two bandwidth allocation methods by classifying users into different groups based on their characteristics such as relax, short-time busy, and long-time busy users. To allocate the bandwidth in each group, specific utility functions are applied. By using these methods, the obtained results show that users get the different allocated bandwidth while they still experience the same level of QoE. On the other hand, the allocation considers users' behavior to allocate suitable bandwidth based on the real resource consumption of users. As a result from these analyses, our proposal tends toward a fair allocation as well as an efficient management of the network resources.
An Observational Determination of the Bolometric Quasar Luminosity Function

We combine a large set of quasar luminosity function (QLF) measurements from the rest-frame optical, soft and hard X-ray, and near- and mid-IR bands to determine the bolometric QLF in the redshift interval z = 0-6. Accounting for the observed distributions of quasar column densities and variation of SED shapes, as well as their dependence on luminosity, makes it possible to integrate the observations in a reliable manner and provides a baseline in redshift and luminosity larger than that of any individual survey. We infer the QLF break luminosity and faint-end slope out to z ~ 4.5 and confirm at high significance (≳10 σ) previous claims of a flattening in both the faint- and bright-end slopes with redshift. With the best-fit estimates of the column density distribution and quasar SED, which both depend on luminosity, a single bolometric QLF self-consistently reproduces the observed QLFs in all bands and at all redshifts for which we compile measurements. Ignoring this luminosity dependence does not yield a self-consistent bolometric QLF and there is no evidence for any additional dependence on redshift. We calculate the expected relic black hole mass function and mass density, cosmic X-ray background, and ionization rate as a function of redshift and find that they are consistent with existing measurements. The peak in the total quasar luminosity density is well constrained at z = 2.15 ± 0.05. We provide a number of fitting functions to the bolometric QLF and its manifestations in various bands, as well as a script to return the QLF at arbitrary frequency and redshift from these fits.
Is Development of a Vaccine against Cryptococcus neoformans Feasible?

Cryptococcus neoformans, the predominant etiological agent of cryptococcosis, is an encapsulated fungal pathogen that can cause fungal pneumonia and life-threatening infections of the central nervous system (CNS) [1]. C. neoformans can be found ubiquitously throughout the environment [1]. Inhalation of airborne yeast or desiccated basidiospores typically results in asymptomatic disease or dormant infections; however, progression towards clinical disease commonly occurs in persons with severely compromised immune responses. Global estimates suggest that 1 million cases of cryptococcal meningitis occur each year, resulting in approximately 625,000 deaths [2]. Morbidity and mortality rates due to cryptococcosis are significantly higher in resource-limited settings and in individuals with impaired CD4+ T cell-mediated immune responses (reviewed in [3–5]). Current therapies are often rendered ineffective because of the development of drug resistance by C. neoformans, drug toxicity, and treatment cost. Thus, a need remains for a cost-effective approach to prevent cryptococcosis.
Approximation algorithms for secondary spectrum auctions

We study combinatorial auctions for the secondary spectrum market. In this market, short-term licenses shall be given to wireless nodes for communication in their local neighborhood. In contrast to the primary market, channels can be assigned to multiple bidders, provided that the corresponding devices are well separated such that the interference is sufficiently low. Interference conflicts are described in terms of a conflict graph in which the nodes represent the bidders and the edges represent conflicts such that the feasible allocations for a channel correspond to the independent sets in the conflict graph. In this paper, we suggest a novel LP formulation for combinatorial auctions with conflict graph using a non-standard graph parameter, the so-called inductive independence number. Taking into account this parameter enables us to bypass the well-known lower bound of Ω(n1-ε) on the approximability of independent set in general graphs with n nodes (bidders). We achieve significantly better approximation results by showing that interference constraints for wireless networks yield conflict graphs with bounded inductive independence number. Our framework covers various established models of wireless communication, e.g., the protocol or the physical model. For the protocol model, we achieve an O(√k)-approximation, where k is the number of available channels. For the more realistic physical model, we achieve an O(√k log2 n) approximation based on edge-weighted conflict graphs. Combining our approach with the LP-based framework of Lavi and Swamy, we obtain incentive compatible mechanisms for general bidders with arbitrary valuations on bundles of channels specified in terms of demand oracles.
Instruction practices in German driving lessons: Differential uses of declaratives and imperatives

Building on a corpus of 70 hours of German driving lessons, this paper studies the use of declaratives vs. imperatives for instruction. It shows how these linguistic resources are adapted to different praxeological, temporal and participant-related environments. Declaratives are used for first instructions, task-setting and post-trial discussions. They exhibit complex syntax and do not call for immediate compliance. Their high degree of explicitness conveys how the action is to be carried out. Imperative instructions overwhelmingly correct ongoing actions of students or respond to their failure to produce expected actions. They exhibit minimal argument structure. They are reminders which presuppose that the student monitors the scene and can perform the action unproblematically. They index that requests have to be complied with immediately or even urgently.
Chronic pulmonary aspergillosis as a sequel to lobectomy for lung cancer.

OBJECTIVES Chronic pulmonary aspergillosis (CPA) is an emerging complication after lobectomy for lung cancer. This retrospective study aimed to determine the incidence, main risk factors and clinical features of postoperative CPA in lung cancer patients. METHODS This study included lung cancer patients treated by lobectomy and with no previous history of thoracic surgery or coexistent aspergillosis at the time of surgery. The cumulative incidence of CPA was determined using death as a competing risk. Furthermore, the identified lung cancer patients were divided into CPA and non-CPA groups to compare their preoperative clinical features and to identify the risk factors of postoperative CPA by univariable and multivariable analyses. We also analysed the clinical features of CPA patients after diagnosis. RESULTS We included 475 lung cancer patients. Of these, 17 patients (3.6%) developed CPA after the lobectomy. The cumulative postoperative incidence rate of CPA was 2.3% [95% confidence interval (CI), 0.8-3.8%] at 5 years and 7.9% (95% CI, 3.0-13.0%) at 10 years. There were significantly more men (P = 0.007), smokers (P = 0.002) and comorbid chronic obstructive pulmonary disease (COPD) (P = 0.008) and interstitial lung disease (ILD) (P = 0.009) patients in the CPA group than in the non-CPA group. Multivariable analysis identified comorbid COPD (P = 0.0019) and ILD (P = 0.0003) as significant risk factors. An antifungal treatment response was obtained in 6 patients (35%). The 1-year survival rate was 47% (follow-up periods, interquartile range: 3-78 months), and 5 of the total of 11 deaths were due to CPA. CONCLUSIONS Through the present retrospective study, CPA seems to be a common sequel to lobectomy in lung cancer patients, and COPD and ILD represent strong risk factors of postoperative CPA. Because of the poor clinical outcome of lung cancer patients who develop CPA after lobectomy, careful follow-up using several examinations and chest radiographs to make CPA diagnosis may be essential.
Amount trumps timing in bilingual vocabulary acquisition: Effects of input in simultaneous and sequential school-age bilinguals

Objectives: This study examined the extent to which the language performance of school-age bilingual children is impacted by the amount of language exposure they have received in each language versus the timing of this exposure in terms of the age of first exposure (AoE). Methods: Receptive and expressive vocabulary and word morphology measures were administered in both languages to school-age simultaneous and sequential learners of French (other language English), and to their monolingual counterparts. Data and analysis: The study included 64 children in first grade and 68 children in third grade in French schools in Montreal. Within each grade level, simultaneous bilinguals, sequential bilinguals, and monolinguals were equivalent in age, nonverbal cognition and socio-economic status (maternal education). Detailed information on previous language exposure was gathered by parent report. Conclusions: Simultaneous bilinguals performed somewhat better than sequential bilinguals; however both groups overall performed significantly more poorly than monolinguals. Differences in performance between simultaneous and sequential bilinguals were mediated by differences in amount, not timing, of exposure. Sequential learners in grade 1 required lower amounts of input to reach high French scores than did their simultaneous counterparts; sequential and simultaneous learners in grade 3 did not differ in this respect. This finding suggests that the recency of bilingual exposure is a significant determiner of the rate of second language learning. The amount of exposure to each language since birth predicted performance in each language of the bilingual children. Originality: Bilingual children with different AoEs were compared while also controlling for differences in amount of exposure. Significant implications: The results call into question the traditional separation between simultaneous and sequential bilinguals and shows that an early start of bilingualism does not in and of itself predict better performance or performance within the monolingual range. Better performance was more strongly related to amount than timing of exposure.
Different kinetics of HBV and HCV during haemodialysis and absence of seronegative viral hepatitis in patients with end-stage renal disease.

BACKGROUND Hepatitis C virus (HCV) and hepatitis B virus (HBV) infections are common in haemodialysis units. Moreover, some studies reported seronegative cases of viral hepatitis. We and others have previously shown an HCV RNA decline during haemodialysis; however, limited data on HBV viraemia during haemodialysis are available. METHODS A total of 142 haemodialysis patients participated in this study, 11 were anti-HCV positive and 7 were HBsAg positive. HCV RNA and HBV DNA were determined in all patients irrespective of hepatitis serology. HBV DNA, HCV RNA, HBsAg and HCV core antigen (HCVcoreAg) were quantified repeatedly in anti-HCV- and HBsAg-positive patients before and after haemodialysis. RESULTS No case of seronegative viral hepatitis could be identified. HCV RNA was detected in 9 of the 11 anti-HCV-positive patients, while HBV DNA tested positive in all 7 HBsAg-positive patients. A decrease of HCVcoreAg was observed during four dialysis sessions in 8/9 patients (-24.4 ± 22.7%, P < 0.001) parallelled by HCV RNA decline in most individuals (-10.1 ± 48.6%, P = 0.22). In contrast, HBV DNA and HBsAg declined only in 1/7 patients during all four independent measurements. The remaining six patients showed heterogeneous patterns of HBV DNA and HBsAg before and after haemodialysis without a significant change in mean HBV DNA and HBsAg levels (+14 ± 60.6% and -0.2 ± 25.3%, P > 0.05, respectively). HCVcoreAg correlated strongly with HCV RNA (r = 0.937; P < 0.001, n = 72), while there was no correlation between HBV DNA and HBsAg (r = -0.234; P = 0.131, n = 43). CONCLUSIONS Seronegative viral hepatitis is rare in German maintenance haemodialysis patients. HCV RNA and HCVcoreAg decline during haemodialysis indicating a potential beneficial effect of haemodialysis during antiviral therapy of hepatitis C, which does not apply to HBV infection.
Antioxidants protect from atherosclerosis by a heme oxygenase-1 pathway that is independent of free radical scavenging

Oxidative stress is implicated in atherogenesis, yet most clinical trials with antioxidants, particularly vitamin E, have failed to protect against atherosclerotic diseases. A striking exception is probucol, which retards atherosclerosis in carotid arteries and restenosis of coronary arteries after angioplasty. Because probucol has in vitro cellular-protective effects independent of inhibiting lipid oxidation, we investigated the mode of action of probucol in vivo. We used three models of vascular disease: apolipoprotein E–deficient mice, a model of atherosclerosis; rabbit aortic balloon injury, a model of restenosis; and carotid injury in obese Zucker rats, a model of type 2 diabetes. Unexpectedly, we observed that the phenol moieties of probucol were insufficient, whereas its sulphur atoms were required for protection. Probucol and its sulphur-containing metabolite, but not a sulphur-free phenolic analogue, protected via cell-specific effects on inhibiting macrophage accumulation, stimulating reendothelialization, and inhibiting vascular smooth muscle cell proliferation. These processes were mediated via induction of heme oxygenase-1 (HO-1), an activity not shared by vitamin E. Our findings identify HO-1 as the molecular target of probucol. They indicate 2-electron rather than radical (1-electron) oxidants as important contributors to atherogenesis, and point to novel lead compounds for therapeutic intervention against atherosclerotic diseases.