Miracle-dz/UniFAR-FTUs huggingface dataset:
TspanC 8 tetraspanins regulate ADAM 10 / Kuzbanian trafficking and promote Notch activation in flies and mammals

The Rockefeller University Press $30.00 J. Cell Biol. Vol. 199 No. 3 481–496 www.jcb. org/cgi/doi/10.1083/jcb.201201133 481 E. Dornier, F. Coumailleau, and J.-F. Ottavi contributed equally to this paper. Correspondence to Eric Rubinstein: eric.rubinstein@inserm.fr; or François Schweisguth: fschweis@pasteur.fr Abbreviations used in this paper: ADAM, a disintegrin and metalloprotease; Ig, immunoglobulin; LNR, Lin12-Notch repeat; NICD, notch intracellular domain; PDI, protein disulfide isomerise; SOP, sensory organ precursor cell. Introduction
Design and Gait Control of an Active Lower Limb Exoskeleton for Walking Assistance

In the development of assistive lower-limb exoskeletons, both exoskeleton design, and gait control are critical for their successful applications. This paper introduces an assistive lower-limb exoskeleton (ALEXO) for active walking assistance. The development of the ALEXO including mechanical design, sensors and gait control is described. The exoskeleton adopts a hierarchical control. A 2-link model is built for dynamic analysis and lower-level control purposes. A trajectory tracking control method based on the computed torque control is proposed, in which physical interaction between the exoskeleton and the user is included. Simulations were conducted for different levels of interaction forces to verify the feasibility of the gait control. Moreover, walking trials of a healthy subject were performed, with muscle activities measured through EMG systems. Both simulation and system test results demonstrated the effectiveness of the developed exoskeleton with the proposed control method for walking assistance.
Generating Polyphonic Symbolic Emotional Music in the Style of Bach Using Convolutional Conditional Variational Autoencoder

In times of increasing human-machine interaction, the implementation of emotional intelligence in machines should not only recognize and track emotions during human interaction, but also respond with appropriate emotional content. Machines should be able to react and respond to human emotions. Music generation with a specific emotion is part of this task. This article presents the process of building a system generating polyphonic music content of a specified emotion using a conditional variational autoencoder and convolutional layers. The process of preparing a database of training examples with compositions by Johann Sebastian Bach, selecting and conducting transformations of musical examples was described. Annotation with emotion labels was done by music experts with a university music education. The four emotion labels - happy, angry, sad, relaxed - corresponding to the four quadrants of Russell’s model were used. The process of coding symbolic music examples into a time-pitch matrix representation, but also the structure of the built variational autoencoder, was described. Experiments on the implementation of different convolutional layers intended for visual analysis of the representation of music examples were presented. The generated emotional music files were evaluated using metrics and expert opinions.
Adoption of blockchain technology in hospitality and tourism industry and sustainability performance: impact of technological turbulence and senior leadership support

PurposeThe rapid increase of use of online platforms by the customers in the hospitality and tourism industry has invited the needs for using digital platforms by the concerned industry. In such a scenario, the purpose of this study is to examine how adoption of blockchain technology in hospitality and tourism industry could impact the sustainability performance of the organizations under the moderating influence of technological turbulence and senior leadership support.Design/methodology/approachWith the help of existing literature, stakeholder theory and dynamic capability view (DCV), a theoretical model is proposed. It was validated using the PLS-SEM technique with 311 respondents who have different managerial positions in the hospitality and tourism industry. The proposed theoretical model is unique and effective as it has high explanatory power.FindingsThe study demonstrates the importance of adopting BCT in the hospitality and tourism sector and how it could improve the sustainability performance of organizations in that sector. This study also finds that there is a significant moderating impact of technological turbulence and senior leadership support on such organizations that adopt BCT.Research limitations/implicationsThis study provides valuable inputs to practitioners in the industry by showing how adopting BCT can improve their sustainability performance. The study also demonstrates that leaders and the managers should support adopting BCT in their organizations and they can help to overcome any technological challenges that might come up while adopting it.Originality/valueThe present study proposes a unique theoretical model which was also validated using a statistical approach. Moreover, both stakeholder theory and dynamic capability view were integrated to propose the theoretical model, which is a novel attempt so far as adoption of BCT in hospitality and tourism industry is concerned.
Relationships Between Characteristics of Design Activities and Working Memory

two methods that are used in cognitive psychology both to study cognitive effort and to determine "time processing," i.e., the evolution of cognitive processes while performing a specific task; and to illustrate the use of these methods in design areas which require the use of a computational tool, as it is the case in computer graphics and in web site design. First, relationships between characteristics of design activities and working memory are evoked. Then, we present the two methods we chose to use to both measure cognitive effort and analyze time processing, and we illustrate the use of these methods in the case of two design activities.
Drug-eluting beads versus conventional transarterial chemoembolization for the treatment of unresectable hepatocellular carcinoma: A meta-analysis

Background: Transarterial chemoembolization (TACE) consists of conventional TACE (cTACE) and drug-eluting beads TACE (DEB-TACE). The benefits of the 2 treatments remain controversial. We conduct this meta-analysis to assess the efficacy and safety of the 2 methods for the patients with unresectable hepatocellular carcinoma. Methods: In order to get a sound conclusion, we did thorough search all relevant studies with clear and stringent keyword criteria on the main databases. Objective tumor response rate, overall survival (OS) rate and adverse events were calculated and analyzed by RevMan 5.3 software. The random-effects or fixed-effects model was applied to pool the estimates according to Cochran Q test and I2 statistics. Results: Twenty-four studies involving 2987 patients were eligible. DEB-TACE significantly improved objective tumor response rate (OR) (risk ratio [RR] = 1.27, 95% confidence interval [CI] [1.08, 1.48]; P = .003). While as for 1-year, 2-year, 3-year, 5-year OS rates, there were no evidences to indicate that DEB-TACE was significantly better than cTACE (RR = 1.05, 95% CI [0.99, 1.11]; P = .08), (RR = 1.02, 95% CI [0.93, 1.11]; P = .68), (RR = 0.92, 95% CI [0.77, 1.10]; P = .37), (RR = 0.92, 95% CI [0.47, 1.80]; P = .81), respectively. Adverse events rate (AE) was also similar in both groups (RR = 1.11, 95% CI [0.99,1.26]; P = .08). Conclusion: This meta-analysis demonstrates that DEB-TACE is not superior than cTACE regarding to OS and AE. However, DEB-TACE still be considered to provide a better objective tumor response rate for patients with unresectable hepatocellular carcinoma.
Multi-objective Optimization with QoS Constraints in WSNs

One of the most active research areas in wireless sensor networks are coverage and improving QoS parameters. This paper focuses on the deployment optimization problem of WSNs dedicated to the monitoring area of interest. In this kind of networks, nodes are classified into two classes: Sensor Nodes (SNs) deployed within the area of interest for targets coverage and Relay Nodes (RNs) which relay sensed messages generated by the sensor nodes up to the sink node. In this study, we propose a Multi-Objective Throughput and Lifetime Optimization (MOThLO) which maximizes simultaneously the throughput and lifetime of sensor nodes, while ensuring network energy, latency and sensors lifetime. In order to evaluate the performance of our proposal, we have conducted many tests.
Interplay Between Capsule Expression and Uracil Metabolism in Streptococcus pneumoniae D39

Pyrimidine nucleotides play an important role in the biosynthesis of activated nucleotide sugars (NDP-sugars). NDP-sugars are the precursors of structural polysaccharides in bacteria, including capsule, which is a major virulence factor of the human pathogen S. pneumoniae. In this work, we identified a spontaneous non-reversible mutant of strain D39 that displayed a non-producing capsule phenotype. Whole-genome sequencing analysis of this mutant revealed several non-synonymous single base modifications, including in genes of the de novo synthesis of pyrimidines and in the −10 box of capsule operon promoter (Pcps). By directed mutagenesis we showed that the point mutation in Pcps was solely responsible for the drastic decrease in capsule expression. We also demonstrated that D39 subjected to uracil deprivation shows increased biomass and decreased Pcps activity and capsule amounts. Importantly, Pcps expression is further decreased by mutating the first gene of the de novo synthesis of pyrimidines, carA. In contrast, the absence of uracil from the culture medium showed no effect on the spontaneous mutant strain. Co-cultivation of the wild-type and the mutant strain indicated a competitive advantage of the spontaneous mutant (non-producing capsule) in medium devoid of uracil. We propose a model in that uracil may act as a signal for the production of different capsule amounts in S. pneumoniae.
International Journal of

Duloxetine (SNRI) and Escitalopram (most selective SSRI) were compared to evaluate the efficacy in mild to moderate depressive disorder. This was a 6-week, double blind, randomized, parallelgroup study in collaboration with Departments of pharmacology and psychiatry, E.L. M.C. Lucknow. Patients suffering from depression single episode, recurrent depressive disorder were included for the study. Scoring on Montgomery-Asberg depression rating scale (MADRS) was kept as primary end point. Subjects were randomly assigned into two different groups (Duloxetine 40-60 mg/day and to escitalopram 10-20mg/day). The primary efficacy variable was assessed by the change from baseline at week 6 in MADRS total score. A significantly greater proportion of escitalopram-treated patients completed the 6-week study compared with duloxetine-treated patients. At week 6, duloxetine treatment resulted in lesser improvement, more drop outs as compared to escitalopram treated patients. However the differences were not statistically significant. These findings suggest that Escitalopram is at least as effective as the Duloxetine in the treatment of major depressive disorder with mild to moderate severity.
Factors Influencing University Students' Adoption of digital educational technologies in Higher Education

Digital tools, social media, video, pre-recorded video, and conferences are used by both students and lecturers to facilitate learning. However, on the students' intention to use digital tools during the educational process, there are still unexplored topics. An online survey was used to compile a sample of 385 students from the University of Jordan's academic degree programs. Regression is used to assess the data. To measure perceived usefulness, perceived ease of use, attitude, and behavior intention to use, one external component of: student access to use digital technologies is now included in the technology acceptance model (TAM). The study's findings revealed important understanding of how students accept using digital tools or technology in education to process information for better decision-making and student support. Therefore, this study helps us anticipate the potential need for courses in successfully carrying out educational processes in the future.
Applying A* Search Algorithm in Mobile Game-Based Learning for Malay Proverbs

Malay Proverbs are an important aspect of cultural heritage that reflect the values, beliefs, and wisdom of a particular society, and mobile game-based learning is an innovative approach that has gained increasing attention as a means of engaging learners and improving their motivation to learn. This research paper presents the design and implementation of a mobile game-based learning platform for Malay proverbs, which utilizes the A* algorithm to provide an optimal path-finding mechanism for the game. The platform is aimed at providing an interactive and engaging learning experience for students to improve their understanding and retention of Malay proverbs. The paper provides insights into the design process of the platform and highlights the potential benefits of utilizing the A* algorithm in mobile game-based learning. The proposed platform has the potential to enhance the learning of Malay proverbs and promote the use of technology in education. By providing a gamified learning experience that utilizes an effective path-finding algorithm, the platform offers an innovative and engaging way to improve students' understanding and retention of Malay proverbs. The study employs an experimental research design and involves the development of a mobile game-based learning application that uses the A* search algorithm to create challenging and interactive game scenarios where players which are represented by an avatar, must navigate through a maze of obstacles and challenges to reach the proverb goal. The findings of the study will contribute to the understanding of how technology can be used to enhance language and cultural education and provide insights into the effectiveness of game-based learning and the A* search algorithm as a pedagogical tool.
The Eocene-Oligocene turnover of Deep-Water Agglutinated Foraminifera at ODPSite 647, Southern Labrador Sea (North Atlantic)

We present a new record of deep-water agglutinated foraminifera (DWAF) across the Eocene-Oligocene Transition (EOT) in the southern Labrador Sea (ODP Site 647). We studied 82 samples from Cores 647A-37R to -27R, and recovered over 100 species and generic groups. The EOT represents an interval of rapid climatic change connected with global cooling, Antarctic glaciation, a substantial decrease in atmospheric CO2, and concurrent changes in the composition of deep waters in the world ocean. Our high-resolution quantitative study of the DWAF faunal succession in abyssal Hole 647A confirms earlier findings that the EOT was an interval of significant faunal turnover. The faunal succession in Hole 647A is subdivided into two assemblages based on the stratigraphic ranges of characteristic benthic foraminiferal species: late Eocene Spiroplectammina trinitatensis-Reticulophragmium amplectens Zone and early Oligocene Ammodiscus latus-Turrilina alsatica Zone. The boundary between these zones, i.e., the Eocene/Oligocene (E/O) boundary, is characterized by the disappearance of 11 DWAF taxa, most of them organically-cemented taxa. The boundary interval was also characterized by a striking sharp decrease in DWAF abundance and diversity. Organically-cemented DWAF taxa increased in abundance in the early Oligocene, but their diversity and abundance never recovered to Eocene values. These data suggest a deepening of the calcite compensation depth and associated changes, such as more vigorous ocean circulation in coincidence with the E/O boundary interval. The analysis of DWAF morphogroups reveals an acme in robust suspension-feeding tubular forms previous to the extinction, suggesting increased bottom water activity. The E/O boundary interval is characterized by an increase in DWAF infaunal taxa and Spiroplectammina species, probably related to increased productivity, as already suggested by the analysis of benthic elongate-cylindrical foraminifera at the same locality. The faunal turnover across the EOT at Hole 647A suggests more vigorous deep-ocean circulation in the latest Eocene and across the E/O boundary interval in the Labrador Sea. It seems reasonable to link the disappearance of DWAF at the E/O boundary at Site 647 to more than one mechanism, including inferred higher productivity, possible competition from calcareous benthic foraminifera, changes in the CO2 content of the atmosphere and ocean, the deepening of the calcite compensation depth, and concurrent changes in taphonomic conditions caused by changes in the water masses in the North Atlantic.
Effects of perioperative intravenous glucocorticoids on perioperative neurocognitive disorders in adults after surgery: A PRISMA-compliant meta-analysis of randomized controlled trials

Background: Randomized controlled trials (RCTs) have shown uncertain clinical benefits from perioperative intravenous glucocorticoids for perioperative neurocognitive disorders (PND). Thus, this meta-analysis was performed to evaluate whether perioperative intravenous glucocorticoids can decrease the occurrence of PND among adults undergoing surgery. Methods: We searched 4 databases (MEDLINE, Embase, CENTRAL and Web of Science) for RCTs that assessed the incidence of PND in adults (aged ≥ 18 years old) after surgery. Two reviewers independently assessed the studies for eligibility, extracted data, and assessed the risk of bias in each study. We assessed the certainty of evidence using GRADEpro software. Results: A total of 10 studies (N = 14,967) were eligible. Compared with controls, glucocorticoids were not associated with reducing the risk of postoperative cognitive dysfunction (POCD) (risk ratio [RR]: 0.79 95% confidence interval [CI]: 0.41–1.55, P = .50, I2 = 85%), risk of postoperative delirium (POD) (RR: 0.87 95% CI: 0.74–1.03, P = .10, I2 = 36%), the length of stay in intensive care unit (ICU) (mean difference [MD] −0.21 95% CI: −1.20 to 0.79, P = .68, I2 = 84%), 30-day mortality (RR: 0.92 95% CI: 0.59–1.46, P = .73, I2 = 0%), or postoperative atrial fibrillation (RR: 0.94 95% CI: 0.86–1.01, P = .11, I2 = 25%). However, there was significant difference between glucocorticoids and control group in the length of hospital stay (LOS) (MD: −0.39 95% CI: −0.62 to −0.16, P = .001, I2 = 0%), and postoperative infections (RR: 0.65 95% CI: 0.56–0.76, P < .00001, I2 = 0%). Conclusions: Perioperative intravenous glucocorticoids did not reduce the risk of PND in adults after surgery but might be associated with shorter the LOS and lower the incidence of postoperative infections. More, larger, higher-quality RCTs including neurological surgery or hip fracture surgery and different doses of glucocorticoids compared with placebos are needed to explore the intervention effects.
Developmental Disabilities Network

This study is about parents of kids with autism (ASD). It looks at parent health and how child health insurance affects parents. Parents of kids with ASD report poorer health than parents of kids without ASD. Kids’ health insurance affects parents of kids with ASD. Parents of kids with ASD who used private insurance, public insurance, or were uninsured had poorer health. Future research and impacts on policy and practice are discussed. Abstract This study aims to understand the health outcomes of parents with children with autism spectrum disorder (ASD) and the interactive effect of child health insurance status. The study utilized 2014-2018 pooled National Health Interview Survey data to construct weighted national estimates and assess main and interaction effect logistic regression models. Findings show parents of children with ASD experienced significantly poorer health compared to parents of children without autism. Insurance status was found to significantly interact with child ASD status. Compared to parents of children without ASD who used private insurance, parents who had a child with ASD who used private insurance, public insurance, or were uninsured were found to have 1.5, 3.2-, and 2.1-times higher odds of poorer health, respectively. Future research and implications on policy and practice are discussed.
EEG Neuro-markers to Enhance BCI-based Stroke Patients Rehabilitation

Stroke is the second largest cause of death worldwide and one of the most common causes of disability. However, several approaches have been proposed to deal with stroke patient rehabilitation like robotic devices and virtual reality systems, researchers have found that the brain-computer interfaces (BCI) approaches can provide better results. In this study, the electroencephalography (EEG) dataset from post-stroke patients were investigated to identify the effects of the motor imagery (MI)-based BCI therapy by investigating sensorimotor areas using frequency and time-domain features and to select particular methods that help in enhancing the MI-based BCI systems for stroke patients using EEG signal processing. Therefore, to detect the imagined movements that are typically required within conventional rehabilitation therapy with good identification accuracies, the conventional filters and wavelet transform (WT) denoising technique was used in the first stage. Next, attributes from frequency and entropy domains were computed. Finally, support vector machine (SVM) classification techniques were utilized to test the motor imagery (MI)-based BCI rehabilitation. The results demonstrate the capability of the WT denoising technique together with the used features and SVM classifier to discriminate the tested classes of the left hand, right hand and foot MI-based BCI rehabilitation. This study will help medical doctors, clinicians, physicians and technicians to introduce a good rehabilitation program for post-stroke patients.
A nonparametric test for residual seasonality

Peaks in the spectrum of a stationary process are indicative of the presence of stochastic periodic phenomena, such as a stochastic seasonal effect. This work proposes to measure and test for the presence of such spectral peaks via assessing their aggregate slope and convexity. Our method is developed nonparametrically, and thus may be useful during a preliminary analysis of a series. The technique is also useful for detecting the presence of residual seasonality in seasonally adjusted data. The diagnostic is investigated through simulation and an extensive case study using data from the U.S. Census Bureau and the Organization for Economic Co-operation and Development (OECD).
The Aftermath of Partition in South Asia

1. Introduction 2. Partition and the making of South Asian boundaries: disruptions and displacements 3. Rememberances of 14-15 August 1947: rituals of independence, realities of nationhood 4. A community in crisis: partition and the Sikhs, 1940-48 5. From displacement to development: partition and the East Punjab countryside, 1947-67 6. Divided landscapes, fragmented identities: East Bengal refugees and their rehabilitation in India, 1947-79 7. Capital landscapes: the imprint of partition on South Asian capital cities 8. Punjab and the making of the Pakistani state 9. 'Beyond homelands': partition and the South African diaspora