Miracle-dz/UniFAR-FTUs huggingface dataset:
Contrary to Red, Blue Monochromatic Light Improves the Bioactive Compound Content in Broccoli Sprouts

Broccoli sprouts are rich in health-promoting bioactive compounds. Their content depends on both cultivation light quality and temperature. However, these effects have been previously addressed in isolation. Here, the dual inputs of cultivation light quality [blue (B), red (R), mixture of R and B (R+B), mixture of R and UVA (R+UVA)] and air temperature (15, 19, and 23 °C) on determining growth, external quality, and the cotyledon and hypocotyl content of five major bioactive compounds were investigated. The carbohydrate status at harvest and postharvest ratio of variable to maximum fluorescence (Fv/Fm) were also assessed. Hypocotyl length was generally enhanced under monochromatic light (R or B) and elevated temperature. Total phenolic, total flavonoid, and glucoraphanin contents were generally higher in cotyledon as compared to hypocotyl. Hypocotyl anthocyanin, total phenolic, total flavonoid, and ascorbic acid contents were generally enhanced by R+B, and were decreased by R. Cotyledon content in these metabolites was generally stimulated by B, and reduced under R or R+UVA. Temperature affected metabolite content depending on the metabolite, organ, and light quality. Lower temperatures, R (23 °C) or R+UVA (15, 19, and 23 °C) were associated with decreased postharvest Fv/Fm. In conclusion, low cultivation temperature (<23 °C), as well as R or R+UVA ought to be avoided. Instead, B and R+B are suitable, with B being preferable, owing to better external quality and enhanced metabolite content in cotyledon which generally holds higher content than hypocotyl.
A new reliability‐based task scheduling algorithm in cloud computing

In the last decade, the scale of heterogeneous computing (HC) systems such as heterogeneous cloud computing environments was growing like never before. So network failures are unavoidable in such systems, which affect system reliability. Since the task scheduling algorithm in HC is challenging, we investigate a new reliability‐aware task scheduling algorithm (RATSA) in this paper. RATSA is designed to schedule tasks on directed acyclic graphs (DAGs) by using the shuffled frog‐leaping algorithm (SFLA) and genetic algorithm (GA) as evolutionary algorithms. The population‐based SFLA‐GA is applied to optimize makespan in the RATSA as an NP‐complete problem. Moreover, the proposed algorithm exploits a new heuristic‐based earliest finish time technique for task mapping to virtual machines (VMs) section to decrease the failure rate. Experimental results on random DAGs indicate that RATSA improves some current algorithms in terms of reliability and has acceptable performance in makespan. The results reveal that the RATSA decreases the overall failure rate by 43% compared to some current task scheduling algorithms.
Defect Engineering in Photocatalytic Methane Conversion

With the rapid increase in the discovered reserves of methane, tremendous efforts have been devoted to the conversion of methane into value‐added chemicals. However, current methane conversion technologies require extensive energy consumption (i.e., high temperature and pressure) due to the high stability of methane molecules. Recently, photocatalytic methane conversion has emerged as a potential answer for the above limitation because it can produce reactive intermediates for C—H bond activation by utilizing solar energy as the sole energy input and allow the methane conversion to proceed under mild conditions. Yet, its conversion efficiency remains relatively low mainly due to scarce active sites and rapid photogenerated charge carrier recombination. In this regard, defect engineering, which can create enormous active sites for methane activation and modulate the electronic structure of photocatalyst, has been extensively utilized for photocatalytic methane conversion. In this review, the fundamentals and advantages of various defects along with their preparation strategies are first summarized. Then, recent advances in defect‐mediated photocatalytic methane conversion are highlighted. Finally, the challenges and opportunities on defect‐mediated photocatalytic methane conversion are presented. This review is expected to provide a timely overview of the state‐of‐the‐art development of the defect‐mediated photocatalytic methane conversion toward its practical application.
Human Resource Management Practices Perception and Career Success: The Mediating Roles of Employability and Extra-Role Behaviors

Over the last decades, growing interest has been devoted to employees’ perceptions of Human Resource Management Practices because of their positive influence on individual attitudes and behaviors as well as on organizational performance. Furthermore, assuming the mutual benefits coming from a people-based management of the human capital in organizations, both in terms of employees’ increased motivation, engagement and commitment, and consequently enhanced performance and competitive advantage, recent research in the field concentrated on the impact of HRM practices perceptions on some distinctive individual attitudes and behaviors driving the success of organizations especially in times of radical change like the present ones. Moving from these assumptions, the aim of the present study was to examine the relationship between HRM practices perception and objective career success, considering the mediating role played by employability and extra-role behaviors. Participants were 960 Italian employees who filled an online self-report questionnaire available through the web platform Google Forms. The questionnaire encompassed socio-demographic information and self-report scales assessing the study variables. Results showed that HRM practices perception was positively related to employability, objective career success, and extra-role behaviors. Implications for theory and practice, limitations, and future research directions were also discussed.
Experimental Study on Thermal Comfort Towards Increasing Temperature Set-Points in Air-Conditioned Office Spaces in a Tropical Region: A Case Study in Thailand

Many countries propose indoor temperature set-points of air-conditioned offices to be comfortably sustainable and to reduce energy consumption. Even though there are recommendations for the optimum temperatureset-points, it is questionable how those values could be applied to the actual situation in a tropical region. This study aims to survey thermal performance and estimate thermal comfort in different set-points. In 2019, two air-conditioned office buildings were tested by increasing set-points from the actual value between 23 °C and 25 °C. Data loggers measuring thermal variables were installed in the offices and the questionnaire was distributed to evaluate human response. Considering the ASHRAE psychometric chart, thermal environments of both cases on the day of a normal set-point were low; falling inside in the 1.0 clo zone. Thermal environments gradually moved from the 1.0 clo zone to the 0.5 clo zone, however, some of them were out of both comfort zones due to high absolute humidity. The predicted mean vote (PMV) and the thermal sensation vote (TSV) show that the votes changed from the cold side to the neutral side, and the higher acceptance rate was at warmer temperatures. The comfort temperature calculated from Griffith’s method was found to be 23.6–25.1 °C which was lower than the measured operative temperature. Adaptive clothing behavior is described to confirm a better condition at warmer temperatures. A possibility of increasing cooling set-points at 24–25 °C is applicable to office buildings in the tropics to remain comfortable.
Decision-Making and the Alternative Five Factor Personality Model: Exploring the Role of Personality Traits, Age, Sex and Social Position

This study explores the relationship between decision-making style, as measured by the Melbourne Decision Making Questionnaire, and personality based on alternative five-factor model along with effect of age, sex and social position on such styles. A large sample of community and undergraduate students (n = 1,562; Mage = 40.03, SD = 18.43) was analyzed. The results showed that Neuroticism and Extraversion were significantly related to the non-vigilant styles Hypervigilance, Buck-passing and Procrastination. Women scored significantly lower in Vigilance and higher in Hypervigilance, Buck-passing and Procrastinations than men. Age was significantly related to decision-making style in a U-shaped fashion. The Social Position Index was significantly related to all decision-making styles. The most predictive personality domains regarding decision-making scales were Aggressiveness (negatively) and Activity for Vigilance, and Neuroticism for Hypervigilance, Buck-passing and Procrastination. Age, sex and social position had a small/medium overall effect on the four dimensions of Melbourne Decision Making Questionnaire (p < 0.001) with a η2 of 0.038, 0.068, 0.050, and 0.031 for Vigilance, Hypervigilance, Buck-passing and Procrastination, respectively. Based on scores on a single factor dimension of the MDMQ, the profile of participants with higher scores was characterized by lower age, more likely to be females, lower social position, higher levels of Aggressiveness, less Activity, less Extraversion, and higher Neuroticism.
Biomineralization: Integrating mechanism and evolutionary history

Calcium carbonate (CaCO3) biomineralizing organisms have played major roles in the history of life and the global carbon cycle during the past 541 Ma. Both marine diversification and mass extinctions reflect physiological responses to environmental changes through time. An integrated understanding of carbonate biomineralization is necessary to illuminate this evolutionary record and to understand how modern organisms will respond to 21st century global change. Biomineralization evolved independently but convergently across phyla, suggesting a unity of mechanism that transcends biological differences. In this review, we combine CaCO3 skeleton formation mechanisms with constraints from evolutionary history, omics, and a meta-analysis of isotopic data to develop a plausible model for CaCO3 biomineralization applicable to all phyla. The model provides a framework for understanding the environmental sensitivity of marine calcifiers, past mass extinctions, and resilience in 21st century acidifying oceans. Thus, it frames questions about the past, present, and future of CaCO3 biomineralizing organisms.
A Progressive Review: Emerging Technologies for ADAS Driven Solutions

Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved significantly. ADAS involves several technologies such as automotive electronics, vehicle-to-vehicle (V2V) vehicle-to-infrastructure (V2I) communication, RADAR, LIDAR, computer vision, and machine learning. Of these, computer vision and machine learning based solutions have mainly been effective that have allowed real-time vehicle control, driver aided systems, etc. However, most of the existing works deal with the deployment of ADAS and autonomous driving functionality in countries with well-disciplined lane traffic. Nevertheless, these solutions and frameworks do not work in countries and cities with less-disciplined/chaotic traffic. This paper identifies the research gaps, reviews the state-of-the-art looking at the different functionalities of ADAS and its levels of autonomy. Importantly, it provides a detailed description of vision intelligence and computational intelligence for ADAS. The eye-gaze and head pose estimation in vision intelligence is detailed. Notably, the learning algorithms such as supervised, unsupervised, reinforcement learning and deep learning solutions for ADAS are considered and discussed. Significantly, this would enable developing a real-time recommendation system for system-assisted/autonomous vehicular environments with less-disciplined road traffic.
Was There Land on the Early Earth?

The presence of exposed land on the early Earth is a prerequisite for a certain type of prebiotic chemical evolution in which the oscillating activity of water, driven by short-term, day–night, and seasonal cycles, facilitates the synthesis of proto-biopolymers. Exposed land is, however, not guaranteed to exist on the early Earth, which is likely to have been drastically different from the modern Earth. This mini-review attempts to provide an up-to-date account on the possibility of exposed land on the early Earth by integrating recent geological and geophysical findings. Owing to the competing effects of the growing ocean and continents in the Hadean, a substantial expanse of the Earth’s surface (∼20% or more) could have been covered by exposed continents in the mid-Hadean. In contrast, exposed land may have been limited to isolated ocean islands in the late Hadean and early Archean. The importance of exposed land during the origins of life remains an open question.
Kinematic Compatibility of a Wrist Robot With Cable Differential Actuation: Effects of Misalignment Compensation via Passive Joints

We present the UDiffWrist (UDW), a low-impedance 2-DOF wrist exoskeleton featuring a cable-differential transmission. To investigate the effect of different design strategies for achieving kinematic compatibility, we developed two versions of this robot: One version (UDW-C) achieves kinematic compatibility only in the case of perfect alignment between human and robot joints. The second version (UDW-NC) connects the human and robot via passive joints to achieve kinematic compatibility regardless of alignment between human and robot joints. Through characterization experiments, we found that the UDW-NC was more robust to misalignments than the UDW-C: the increase in maximum interaction torque associated with misalignments was greater for the UDW-C than the UDW-NC robot (p = 0.003). However, the UDW-NC displayed greater Coulomb friction (p < 0.001). Further, Coulomb friction increased more for the UDW-NC than the UDW-C in the presence of misalignments between the human and robot axes (p < 0.001). We also found that torque transfer was more accurate in the UDW-C than in the UDW-NC. These results suggest that for the small (10 deg) 2-DOF wrist movements considered, the advantages of the UDW-NC in terms of kinematic compatibility are likely overshadowed by the negative effects in friction and torque transfer accuracy.
DR D2 polymorphism in Egyptian with Attention-Deficit Hyperactivity Disorder Children sample

Background: ADHD is a highly heritable disorder. Several genes were found to be involved; one of the commonest genes is dopamine D2 gene which was found to be associated with ADHD. Objectives: The purpose of this study was the correlation of the children with ADHD DRD2 gene polymorphism. We hypothesized a positive correlation of DRD2 polymorphisms in ADHD patients. Methodology: Our research sample included 100 children aged between 4 and 12 years (8.1 ± 1.8). The ADHD group consisted of 50 cases; diagnosed by Diagnostic and Statistical Manual of Mental Disorders, fourth Edition TR (DSM-IV-TR), and the 50 control of comparable age and sex. PCR-RFLP analysis was done for the detection of the DRD2 polymorphism Results: A1 allele was more encountered in cases compared to controls, while the A2 allele was significantly more prevalent among controls. A2 allele was statistically insignificant more encountered among mildly inattentive cases, and mild and moderate hyperactivity. Conclusion: ADHD was significantly associated with dopamine D2 TaqI A Alleles polymorphism in the current study.
Recent developments in vibrothermography

Due to the sensitivity of fluorescent penetrant inspection to surface roughness of the inspected material, researchers have been investigating alternative inspection methods. Vibrothermography is one of the contactless non- destructive testing methods in which vibration pulses with high frequencies (typically 20-40 kHz) are used in a part for a short period of time to produce thermal gradient at the defect. In this technique, thermographic or infra-red cameras are used for radiation detection due to thermal gradient in the range of 0.9- 14 µm electromagnetic spectrum. This paper focuses on the recent developments in vibrothermography. It covers basics, history, equipments used, types, materials, probability of detection, principle of heat generation mechanism and factors that affect detectability in vibrothermography. surfaces and the challenge of inspecting internal features with no line of sight in AM parts.
Focal adhesion membrane is dotted with protein islands and partitioned for molecular hop diffusion

Using the ultrafast camera system and new theories for hop diffusion described in the companion paper, we for the first time demonstrated that membrane molecules undergo hop diffusion among the compartments in the bulk basal plasma membrane (PM), with virtually the same compartment sizes (108 nm) as those in the bulk apical PM and the same dwell lifetimes within a compartment (10 and 24 ms for the phospholipid and transferrin receptor, respectively), suggesting that the basic structures and molecular dynamics are very similar in the bulk regions of the apical and basal PMs. Ultrafast PALM and single-molecule imaging revealed that the focal adhesion (FA) is mostly a fluid membrane, partitioned into ∼74-nm compartments where transferrin receptor and β3 integrin undergo hop diffusion, and that the FA membrane is sparsely dotted with 51-nm diameter paxillin islands, where many other FA proteins probably assemble (compartmentalized archipelago model). β3 integrin intermittently associates with the paxillin islands, dynamically linking them to the extracellular matrix. Summary An ultrafast camera with single fluorescent-molecule sensitivities developed by Fujiwara et al. reveals that the focal adhesion membrane is dotted with protein islands and partitioned for molecular hop diffusion, and integrin β3 molecules become temporarily immobilized at the islands.
Authentic leadership and follower trust in the leader: The effect of precariousness

Orientation: In a business context characterised by precariousness and uncertainty, the importance of trusting leader-follower relationships is becoming critical to navigate imminent challenges preventing organisational sustainability and progress. The potential negative impact of related challenges could be reduced by encouraging leaders to adopt an authentic leadership style, culminating in various positive employee and organisational outcomes.Research purpose: This study investigated the impact of authentic leadership (AL) on follower trust in the leader (TL), while considering the possible indirect influence of perceived precariousness in the form of job insecurity.Motivation for the study: Establishing a high level of trust among the followers and their leaders employed by a manufacturing organisation under operational and financial pressure might contribute to a more effective functioning of the entity.Research approach/design and method: A quantitative cross-sectional survey design was applied. The Authentic Leadership Inventory, Workplace Trust Survey, and Job Insecurity Scale were administered.Main findings: Authentic leadership was a significant predictor of TL. Job insecurity did not moderate the relationship between AL and TL.Practical/managerial implications: Promoting an AL style will benefit manufacturing organisations as it will elevate the trustful relationship between leaders and followers, despite precarious working conditions.Contribution/value-add: The study emphasises AL’s critical role in cultivating a trustful relationship between followers and their leaders. The non-significant influence of job insecurity on a trustful relationship in a precarious work context was also highlighted.
The Pivotal Immunomodulatory and Anti-Inflammatory Effect of Histone-Lysine N-Methyltransferase in the Glioma Microenvironment: Its Biomarker and Therapy Potentials

Enhancer of zeste homolog 2 (EZH2) is a histone-lysine N-methyltransferase that encrypts a member of the Polycomb group (PcG) family. EZH2 forms a repressive chromatin structure which eventually participates in regulating the development as well as lineage propagation of stem cells and glioma progression. Posttranslational modifications are distinct approaches for the adjusted modification of EZH2 in the development of cancer. The amino acid succession of EZH2 protein makes it appropriate for covalent modifications, like phosphorylation, acetylation, O-GlcNAcylation, methylation, ubiquitination, and sumoylation. The glioma microenvironment is a dynamic component that comprises, besides glioma cells and glioma stem cells, a complex network that comprises diverse cell types like endothelial cells, astrocytes, and microglia as well as stromal components, soluble factors, and the extracellular membrane. EZH2 is well recognized as an essential modulator of cell invasion as well as metastasis in glioma. EZH2 oversecretion was implicated in the malfunction of several fundamental signaling pathways like Wnt/β-catenin signaling, Ras and NF-κB signaling, PI3K/AKT signaling, β-adrenergic receptor signaling, and bone morphogenetic protein as well as NOTCH signaling pathways. EZH2 was more secreted in glioblastoma multiforme than in low-grade gliomas as well as extremely secreted in U251 and U87 human glioma cells. Thus, the blockade of EZH2 expression in glioma could be of therapeutic value for patients with glioma. The suppression of EZH2 gene secretion was capable of reversing temozolomide resistance in patients with glioma. EZH2 is a promising therapeutic as well as prognostic biomarker for the treatment of glioma.
Energy-efficient ultra-dense 5G networks: Recent Advances, Taxonomy and Future Research Directions

The global surge of connected devices and multimedia services necessitates increased capacity and coverage of communication networks. One approach to address the unprecedented rise in capacity and coverage requirement is deploying several small cells to create ultra-dense networks. This, however, exacerbates problems with energy consumption and network management due to the density and unplanned nature of the deployment. This review discusses various approaches to solving energy efficiency problems in ultra-dense networks, ranging from deployment to optimisation. Based on the review, we propose a taxonomy, summarise key findings, and discuss operational and implementation details of past research contributions. In particular, we focus on popular approaches such as machine learning, game theory, stochastic and heuristic techniques in the ultra-dense network from an energy perspective due to their promise in addressing the issue in future networks. Furthermore, we identify several challenges for improving energy efficiency in an ultra-dense network. Finally, future research directions are outlined for improving energy efficiency in ultra-dense networks in 5G and beyond 5G networks.