Miracle-dz/UniFAR-FTUs huggingface dataset:
Lost in the socially extended mind: Genuine intersubjectivity and disturbed self-other demarcation in schizophrenia

Much of the characteristic symptomatology of schizophrenia can be understood as resulting from a pervasive sense of disembodiment. The body is experienced as an external machine that needs to be controlled with explicit intentional commands, which in turn leads to severe difficulties in interacting with the world in a fluid and intuitive manner. In consequence, there is a characteristic dissociality: Others become problems to be solved by intellectual effort and no longer present opportunities for spontaneous interpersonal alignment. This dissociality goes hand in hand with a progressive loss of the socially extended mind, which normally affords opportunities for co-regulation of cognitive and affective processes. However, at times people with schizophrenia report that they are confronted by the opposite of this dissociality, namely an unusual fluidity of the self-other boundary as expressed in experiences of ambiguous body boundaries, intrusions, and even merging with others. Here the person has not lost access to the socially extended mind but has instead become lost in it, possibly due to a weakened sense of self. We argue that this neglected aspect of schizophrenic social dysfunction can be usefully approached via the concept of genuine intersubjectivity: We normally participate in a shared experience with another person by implicitly co-regulating how our interaction unfolds. This co-regulation integrates our respective experience’s dynamical bases into one interpersonal process and gives the interaction an ambiguous second-person character. The upshot is that reports of abnormal self-other fluidity are not indicative of hallucinations without any basis in reality, but of a heightened sensitivity and vulnerability to processes of interpersonal alignment and mutual incorporation that form the normal basis of social life. We conclude by discussing implications of this view for both the science of consciousness as well as approaches to intervention and therapy.
Predictive CDN Selection for Video Delivery Based on LSTM Network Performance Forecasts and Cost-Effective Trade-Offs

Owing to increasing consumption of video streams and demand for higher quality content and more advanced displays, future telecommunication networks are expected to outperform current networks in terms of key performance indicators (KPIs). Currently, content delivery networks (CDNs) are used to enhance media availability and delivery performance across the Internet in a cost-effective manner. The proliferation of CDN vendors and business models allows the content provider (CP) to use multiple CDN providers simultaneously. However, extreme concurrency dynamics can affect CDN capacity, causing performance degradation and outages, while overestimated demand affects costs. 5G standardization communities envision advanced network functions executing video analytics to enhance or boost media services. Network accelerators are required to enforce CDN resilience and efficient utilization of CDN assets. In this regard, this study investigates a cost-effective service to dynamically select the CDN for each session and video segment at the Media Server, without any modification to the video streaming pipeline being required. This service performs time series forecasts by employing a Long Short-Term Memory (LSTM) network to process real time measurements coming from connected video players. This service also ensures reliable and cost-effective content delivery through proactive selection of the CDN that fits with performance and business constraints. To this end, the proposed service predicts the number of players that can be served by each CDN at each time; then, it switches the required players between CDNs to keep the (Quality of Service) QoS rates or to reduce the CP’s operational expenditure (OPEX). The proposed solution is evaluated by a real server, CDNs, and players and delivering dynamic adaptive streaming over HTTP (MPEG-DASH), where clients are notified to switch to another CDN through a standard MPEG-DASH media presentation description (MPD) update mechanism.
Blue‐Light‐Emitting Oligoquinolines: Synthesis, Properties, and High‐Efficiency Blue‐Light‐Emitting Diodes

The synthesis, photophysics, cyclic voltammetry, and highly efficient blue electroluminescence of a series of four new n‐type conjugated oligomers, 6,6′‐bis(2,4‐diphenylquinoline) (B1PPQ), 6,6′‐bis(2‐(4‐tert‐butylphenyl)‐4‐phenylquinoline) (BtBPQ), 6,6′‐bis(2‐p‐biphenyl)‐4‐phenylquinoline) (B2PPQ), and 6,6′‐bis((3,5‐diphenylbenzene)‐4‐phenylquinoline) (BDBPQ) is reported. The oligoquinolines have high glass‐transition temperatures (Tg ≥ 133 °C), reversible electrochemical reduction, and high electron affinities (2.68–2.81 eV). They emit blue photoluminescence with 0.73–0.94 quantum yields and 1.06–1.42 ns lifetimes in chloroform solutions. High‐performance organic light‐emitting diodes (OLEDs) with excellent blue chromaticity coordinates are achieved from all the oligoquinolines. OLEDs based on B2PPQ as the blue emitter give the best performance with a high brightness (19 740 cd m–2 at 8.0 V), high efficiency (7.12 cd A–1 and 6.56 % external quantum efficiency at 1175 cd m–2), and excellent blue color purity as judged by the Commission Internationale de L'Eclairage (CIE) coordinates (x = 0.15,y = 0.16). These results represent the best efficiency of blue OLEDs from neat fluorescent organic emitters reported to date. These results demonstrate the potential of oligoquinolines as emitters and electron‐transport materials for developing high‐performance blue OLEDs.
Influence of Spectral Peaks on EMG Parameter Estimation for Vibration-Exercise Analysis

Many studies have proposed vibration exercise (VE) as a novel training modality for neuromuscular conditioning and rehabilitation. Surface electromyography (sEMG) is widely used for effective measurement of muscle activity. Unfortunately, sharp spectral peaks (SSP) are usually present in the EMG signals recorded during VE. The explanation of these sharp peaks, as muscle activity or motion artifacts, is controversial, complicating EMG parameter extraction for the analysis of VE. The present study aims to quantify the impact of these SSP on the estimation of EMG parameters irrespective of their nature. High-density sEMG was therefore recorded from the biceps brachii muscle during VE with different vibration amplitudes (VA) and frequencies (VF). The power around (±0.5 Hz) VF and its first harmonic was calculated and normalized with the entire EMG power in order to obtain a relative power ( ${P}_{R}$ ) of these peaks. In addition, before and after excluding the SSP, three EMG parameters, i.e., mean frequency (MF), root mean square (RMS), and conduction velocity (CV), were estimated and compared. Our results reveal an average ${P}_{R}$ of 21.18± 15.68 %. The relative difference in EMG RMS and MF are 12.2± 3.8 % and 2.10± 1.04 %, respectively. In addition, the impact of these peaks on the MF and RMS seems also to be affected by vibration conditions, such as VA and VF. However, the CV estimation seems not to be significantly influenced by these peaks, indicating these peaks to be primarily reflecting muscle activity and therefore should be included in VE EMG analysis.
Association of bladder cancer risk and vascular endothelial growth factor gene +936 C/T polymorphism: A meta-analysis

Background: Vascular endothelial growth factor (VEGF) is a key mediator of angiogenesis and carcinogenesis of various malignancies. Several studies investigated the relationship between VEGF +936 C/T polymorphism and bladder cancer; however, their findings are inconclusive. Therefore, we performed a meta-analysis to evaluate the association between VEGF +936 C/T polymorphism and bladder cancer. Methods: PubMed and Embase databases were comprehensively searched for studies published before October 2018. A literature searching was applied to select eligible studies regarding the VEGF +936 C/T polymorphism and bladder cancer. The pooled effect sizes were estimated using odds ratio (OR) with 95% confidence interval (CI). Results: A significantly higher bladder cancer risk of 1.47 (95% CI=1.10- 1.96) was found for the recessive model (T/T vs. C/C+C/T) under the fixed effect and the random effects models. In the subgroup analysis, significantly higher bladder cancer risks of 1.18 (95% CI=1.02-1.37) and 1.47 (95% CI=1.08-2.01) were especially found for the Asian population under the dominant model (T/T+C/T vs. C/C) as well as the recessive model (T/T vs. C/T+C/C), respectively. Conclusions: Our findings suggest that VEGF +936 C/T polymorphism is significantly associated with bladder cancer, especially for the Asian population. Further studies with a larger sample size are needed to clarify the functional effects of VEGF polymorphisms on bladder cancer risk.
Management of distal tibial metaphyseal fracture by expert tibial nail using suprapatellar approach

Background: Distal tibial metaphyseal fractures are common lower limb injuries and results in extensive musculoskeletal damage due to paucity of soft tissue coverage. Fixation methods include open reduction and internal fixation (ORIF) with plates, minimally invasive percutaneous plate osteosynthesis (MIPPO) and intrameduallary nailing. Extensive exposure for ORIF leads to wound complications,nonunion and infection. Intramedullary nailing is the preferred for diaphyseal tibial fracture however conventional nailing is less suited for distal tibial metaphysis due to diameter mismatch between the nail and the bone leading to very little nail effect and impaired stability. Expert tibial nail with multiplanar locking options at the proximal and distal end allows for secure stabilization of the metaphyseal fragments. Infrapatellar approach is traditionally used for tibial nailing however suprapatellar approach is emerging as an alternative as semi-extended positioning makes it technically easier to nail the proximal and distal fractures. Materials and Methods: This is a prospective study conducted from February 2019 to February 2020. 14 patients fulfilling the inclusion criteria underwent intramedullary nailing using the suprapatellar approach. The functional outcomes were measured at 6 months using the Lysholm knee score and the SF-36 physical and mental score. The obtained data was analyzed using SPSSv16. Result: The average time of fracture union was 17.8 weeks. The mean SF-36 physical and mental score were 42.4 and 44.5 respectively. The average Lysholm score was 84. The mean arc of motion in the involved knee was 110ᵒ. Secondary procedure in the form of dynamization was done in 2 cases. Anterior knee pain was observed in 3 patients.Conclusion: Expert tibial nailing using suprapatellar approach appears to be a suitable fixation method for distal tibial metaphyseal injuries as it provides good functional and clinical outcome at the same time minimizing the violation of delicate soft tissue structures.
Differential response of proline metabolizing enzymes in drought tolerant and drought sensitive varieties of wheat (Triticum aestivum L.) during grain development

Wheat (Triticum aestivum L.) plants exposed to drought stress show unfavorable changes at the cellular and molecular level. Under draught stress plants adjust osmotic mechanism by production of proline in the cell. Proline metabolizing enzymes are crucial for selection of draught stress tolerance by accumulation of compatible osmolytes. The present study depicts the activities of two major proline metabolizing enzymes viz. ∆1 pyrroline-5-carboxylate synthetase and ∆1pyrroline -5-carboxylate reductase are increased under drought stress compared to irrigated condition in both leaves and developing grains of wheat varieties. Plants accumulate proline under drought stress condition which is normally catabolized to pyrroline-5-carboxylate by proline oxidase. The activity of proline oxidase is decreased under drought stress both in leaves and developing grains there by provides osmoprotection and made plants tolerant to drought.
Colloidal Fouling of Reverse Osmosis Membranes: Measurements and Fouling Mechanisms

The effect of chemical and physical interactions on the fouling rate of cellulose acetate and aromatic polyamide composite reverse osmosis (RO) membranes by silica colloids is investigated. Results of fouling experiments using a laboratory-scale unit demonstrate that colloidal fouling rate increases with increasing solution ionic strength, feed colloid concentration, and permeate water flux through the membrane. It is demonstrated that the rate of colloidal fouling is controlled by a unique interplay between permeation drag and electric double layer repulsion; that is, colloidal fouling of RO membranes involves inter relationship (coupling) between physical and chemical interactions. For solution chemistries typical of natural source waters, permeation drag under normal operating conditions plays a more significant role than chemical interactions and may ultimately control the rate and extent of colloidal fouling. In addition to permeation drag, it is shown that membrane surface morphology has a marked ef.
Experimental Determination and Modeling of Sorption Isotherms of Tropical Fruits: Banana, Mango, and Pineapple

Abstract Sorption isotherms of banana, mango, and pineapple have been experimentally found at 40, 50, and 60°C by use of the salt method for a range of water activities from 0.056 to 0.85. The sorption capacity of these fruits increases with the temperature for a given water activity. The experimental curves have been simulated by the GAB and BET models. The BET model ensures a better representation of the experimental results for water activity lower than 0.35 with maximum deviation of 1.0, 1.5, and 2.0 kgw · kgdm−1 for respectively banana, mango and pineapple. On the contrary, the GAB model enables the representation of the whole desorption isotherms and the estimation of the water content corresponding to monolayer saturation and of the isosteric heat of sorption. It also takes into account the temperature effect. The isosteric sorption heat of the three studied products are deduced from experimental results and empirical correlations are proposed leading to a satisfactorily representation.
A Computation-Efficient Decentralized Algorithm for Composite Constrained Optimization

This paper focuses on solving the problem of composite constrained convex optimization with a sum of smooth convex functions and non-smooth regularization terms (${\ell _1}$ norm) subject to locally general constraints. Motivated by the modern large-scale information processing problems in machine learning (the samples of a training dataset are randomly decentralized across multiple computing nodes), each of the smooth objective functions is further considered as the average of several constituent functions. To address the problem in a decentralized fashion, we propose a novel computation-efficient decentralized stochastic gradient algorithm, which leverages the variance reduction technique and the decentralized stochastic gradient projection method with constant step-size. Theoretical analysis indicates that if the constant step-size is less than an explicitly estimated upper bound, the proposed algorithm can find the exact optimal solution in expectation when each constituent function (smooth) is strongly convex. Concerning the existing decentralized schemes, the proposed algorithm not only is suitable for solving the general constrained optimization problems but also possesses low computation cost in terms of the total number of local gradient evaluations. Furthermore, the proposed algorithm via differential privacy strategy can effectively mask the privacy of each constituent function, which is more practical in applications involving sensitive messages, such as military affairs or medical treatment. Finally, numerical evidence is provided to demonstrate the appealing performance of the proposed algorithm.
Multitask Learning for Super-Resolution of Seismic Velocity Model

Full waveform inversion (FWI) is a powerful tool for estimating the underground velocity model. However, it is computationally expensive and the resulting models tend to be not accurate enough. Thus, to improve the efficiency and accuracy of FWI, we propose a super-resolution (SR) method based on deep learning to enhance the resolution of the seismic velocity model. Since the edge images of the seismic velocity model are also widely used in geophysics, a multitask learning (MTL) network with hard parameter sharing is applied to perform the SR of the seismic velocity model and its edge images. The proposed MTL model dubbed M-RUDSR includes a global residual skip connection, an encoder–decoder structure of U-Net, and a dense skip connection structure. Besides, two networks for comparison, namely, RUDSR and M-RUSR, are proffered. RUDSR is a single-task version of M-RUDSR, whereas M-RUSR is a simplified version of M-RUDSR without a dense skip connection structure. Compared with RUDSR and M-RUSR, M-RUDSR produced the best results for all kinds of blurring levels and achieved better visual details. We found that FWI followed by SR can help reduce the computational cost of FWI in the high-frequency part of the spectrum, as well as achieve better high-frequency details recovery. The experimental results show that M-RUDSR is a practical recovery scheme in SR of the seismic velocity model and can be applied to a real data set efficiently.
The Moderating Role of Ownership Concentration on the Relationship between Board Composition and Saudi Bank Performance

The main purpose of this study is to investigate the potential effect of ownership concentration on the relationship between board composition and bank performance. The study employs a sample of Saudi banks listed on Saudi stock exchange (TADAUWL) over the period from 2011 to 2018. To test the study hypotheses and control for endogeneity issues, the Ordinary Least Square (OLS) and the Two-Stage Least Squares (2SLS) techniques are used. The empirical results reveal a significant negative moderating effect of ownership concentration on the association between board composition and bank performance, which confirms the study argument and supports hypotheses. The results indicate that board composition in terms of independent board members, executive board members, and non-executive board members in banks with higher ownership concentration have a weaker positive influence on bank performance. For control variables, the results are almost consistent with theoretical perspectives and previous empirical evidence. The results of this study have important implications for regulatory authorities, companies, and market participants in Saudi Arabia and countries with high concentrated ownership to understand how ownership concentration could affect corporate governance and firm performance and to identify appropriate actions to protect board composition from the influence of ownership concentration.
Reaction of rhenium and carbon at high pressures and temperatures

Abstract A study of the reaction of rhenium with carbon at high-(P, T) conditions up to Pmax = 67 GPa and Tmax = 3800 K is presented. A hexagonal ReCx was identified as the stable phase at high-(P, T) conditions. A composition of ReC0.5 is proposed. No evidence for a cubic ReC polymorph with rocksalt structure, as suggested in the literature, or for any other phase was found at the P-T conditions explored. A preliminary P-T rhenium-carbon phase diagram has been derived and properties such as bulk moduli and elastic stiffness coefficients were obtained.
Molecular assisted TLCNDV resistant breeding in tomato (Solanum lycopersicon L.)

Low heterosis is an indication of least infestation of ToLCV thereby resistance/tolerance of F1s. In present study, it was observed that the most of the cross combinations belonging to P12, P13 and P14 used as a male parent exhibited low heterosis but higher resistant to ToLCV. The result indicated that cross P8 x P13 showed desirable negative heterosis over mid, better and top parent, cross P10 x P12, P11 x P12 over better and top parent at 30 and 60 DPI while, cross P6 x P13 over better and top parent at 60 DPI. It is find that among the line P10, P7, P8, P5 and P11 and tester P12 and P13 were found good general combiners as they exhibited negative and significant and low GCA effects which may be used as one of the parents while resistant breeding against ToLCV. Among the tested hybrid, none of them express negative significant SCA while all the crosses were at par with each other for SCA except P-7 x P-14, P-8 x P-14, P-9 x P-14 and P-11 x P-14.ce (б2 D) indicating preponderance of additive gene action for controlling ToLCV. Therefore, the ToLCD management programmes could beneﬁt from using the Ty-3 gene.
THE IMPACT OF INFLUENCER MARKETING AND INSTAGRAMMERS ON CONSUMER PURCHASE INTENTIONS AND BRAND ATTITUDE

In the last few years, we have noticed the emergence of influencer marketing (Lanz, Goldenberg, Shapira, & Stahl, 2019; Sokolova & Kefi, 2019), specifically of how some of this arising-stars in the social media spectrum have become sources of advice for other consumers, resulting in opinion leaders for the brands they advocate (Casaló, Flavián, & Ibáñez-Sánchez, 2018). As this trend is expected to continue in the near future, the current research focuses in one of the fastest-growing social media platforms - Instagram - (De Veirman, Cauberghe, & Hudders, 2017; Sheldon, Rauschnabel, Antony, & Car, 2017) to understand how Instagrammers and their posts have an impact on consumer’s purchase decisions for the young-adult audiences. Additionally, this study also aims to understand if this content creation influences consumer’s brand attitude (Faircloth, Capella, & Alford, 2016), that is, in the consumer’s opinion about a product or service of a specific brand. To put forward our research and be able to withdraw some conclusions, two studies with distinct research methods were used: first, we resort to a qualitative study based on in-depth interviews. In this, 30 female consumers with age-range between 19 and 30 years old where interviewed. From this first study, we are able not only to provide information about the impact of influencer’s posts To conclude, based on our two studies and in line with previous research (e.g., Chu & Kamal, 2008; Grewal & Stephen, 2019), it is noticeable that the digital influencers’ posts on Instagram have an impact on the consumer’s purchase intentions, especially concerning young female consumers. Regarding brand attitude, it is also clear that consumers tend to change their opinion towards a brand (positively or negatively) if a specific influencer promotes/demotes it.