Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation on the Effect of Fishery Insurance Policy: Evidence Based on Text Mining

As a quasi-public product, fishery insurance has become an important starting point for the construction of the modern fishery industry chain, supply chain and value chain risk management mechanism. We used visual data processing methods and text mining technology to screen policy samples. We then built a fishery insurance policy evaluation system based on the Policy Modeling Consistency (PMC) index model. We combined the PMC index score and PMC surface to quantitatively analyze the policy samples. This paper has four important findings: (1) After three adjustments and developments, the fishery insurance policy has grown in terms of initial attention, changes, and development and gradually matured. (2) A gap exists between the content of the fishing insurance policy text and the actual demand. The scoring results of the policy samples are concentrated in the acceptable range, the policy effects are not satisfactory, and the formulation of fishery insurance policies has weak links that need to be improved. (3) The consistency and effectiveness of fishery insurance policies have developed simultaneously with fishery insurance research, and the practical effects of high-quality fishery insurance policies are conducive to the development of theoretical research. (4) The policy text of fishery insurance has major problems, such as missing joint force of issuing institutions, low professionalism of the text, inadequate subdivision guidance of fishery insurance, weak social effectiveness, high dependence on financial subsidies, lack of incentive sustainability and corresponding laws and regulations and reduction in policy feasibility among others. Considering the above issues, this paper puts forward relevant policy optimization paths and safeguard measures on the basis of giving priority to greater absolute value.
Germanium Quantum-Dot Array with Self-Aligned Electrodes for Quantum Electronic Devices

Semiconductor-based quantum registers require scalable quantum-dots (QDs) to be accurately located in close proximity to and independently addressable by external electrodes. Si-based QD qubits have been realized in various lithographically-defined Si/SiGe heterostructures and validated only for milli-Kelvin temperature operation. QD qubits have recently been explored in germanium (Ge) materials systems that are envisaged to operate at higher temperatures, relax lithographic-fabrication requirements, and scale up to large quantum systems. We report the unique scalability and tunability of Ge spherical-shaped QDs that are controllably located, closely coupled between each another, and self-aligned with control electrodes, using a coordinated combination of lithographic patterning and self-assembled growth. The core experimental design is based on the thermal oxidation of poly-SiGe spacer islands located at each sidewall corner or included-angle location of Si3N4/Si-ridges with specially designed fanout structures. Multiple Ge QDs with good tunability in QD sizes and self-aligned electrodes were controllably achieved. Spherical-shaped Ge QDs are closely coupled to each other via coupling barriers of Si3N4 spacer layers/c-Si that are electrically tunable via self-aligned poly-Si or polycide electrodes. Our ability to place size-tunable spherical Ge QDs at any desired location, therefore, offers a large parameter space within which to design novel quantum electronic devices.
A novel polymeric micelle-decorated Fe3O4/Au core–shell nanoparticle for pH and reduction-responsive intracellular co-delivery of doxorubicin and 6-mercaptopurine

Cancer is one of the most common health problems which leads to death in the world, and an impressive approach to clinical cancer treatment is combination chemotherapy. To address this concern, multi-anticancer agents have been used simultaneously to achieve synergistic effects with decreasing toxic side effects of drugs owing to the administration of low drug dose. Moreover, nanosized drug delivery systems (DDS) have been proposed for targeting tumor tissue because of their enhanced permeability and retention (EPR) effect, improved drug bioavailability and long circulation time. For this purpose, we designed novel Au-coated Fe3O4 nanoparticles (NPs) capped with pH/redox dual-responsive nanomicelles (NMs) for intracellular co-delivery of 6-mercaptopurine (MP) and doxorubicin (DOX). The developed nanocarrier exhibited many favorable capabilities such as a narrow size distribution range (96 nm), high drug loading capacities (31% for DOX and 14% for MP), and stimuli-responsive drug release. The high loading capacity of MP was due to the covalent grafting of a disulfide agent to the polymeric segment as a redox-responsive platform for loading of MP. The anticancer performance of the nanocarrier was also assessed by various apoptosis tests and a cellular uptake study. According to the obtained results, we anticipate that the developed smart nanocarrier can be applied for co-delivery of multi-anticancer drugs to minimize the side effects of drugs.
Phytochemical and mineral content in leaves, stem and bark of Pterocarpus santalinoides (nturukpa) from Afikpo, Ebonyi State, Nigeria

The study assessed the phytochemical and mineral content in leaves, stem and bark of Pterocarpus santalinoides sampled from three (3) stands at Itim Autonomous Community in Afikpo, Ebonyi State. Qualitative and quantitative determination of the phytochemical (alkaloids, flavonoids, tannins, saponins and Phenols) content was carried out using standard methods while the mineral content were determined using Atomic Absorption Spectrometry (AAS 210 VGP, Buck Scientific, Inc., East Norwalk, USA). The result of the qualitative analysis revealed that the bark extract had the highest alkaloid with high degree of precipitation (++) compared to all other extracts. The result of the quantitative analysis showed that the highest values of alkaloids (2.24%), flavonoids (4.40%), saponins (10.51%), and tannins (0.13%) were obtained in the leaves of Pterocarpus santalinoides and these values were significantly (P<0.05) higher than values recorded in bark (1.82, 3.33, 8.21 and 0.05%), and stem (1.56, 3.12, 6.97 and 0.03%). Similarly, the results of mineral content showed that Fe (35.93 mg/100 g), Na (23.37 mg/100 g), Ca (1.48 mg/100 g), Mg (17.47 mg/100 g) and P (10.11mg/100 g) were highest in the leaves. The values of phytochemicals and minerals present in the leaves of Pterocarpus santalinoides indicate that the plant has immense health benefit, thus, it can be explored for manufacturing of drugs in pharmaceutical industries. Keywords: Phytochemical, mineral, leaves, bark, stem
Prognostic Gene Signature for Squamous Cell Carcinoma with a Higher Risk for Treatment Failure and Accelerated MEK-ERK Pathway Activity

Simple Summary Squamous cell carcinoma (SCC) is the most prevalent type of human cancer worldwide and represents the majority of head and neck tumors. As SCC from aerodigestive or genitourinary tracts share not only common etiology and histological features but also molecular patterns, the major objectives of this study were the establishment of a pan-SCC-related prognostic gene signature by an integrative analysis of multi-omics data and the elucidation of underlying oncogenic pathway activities as potential vulnerabilities for a more efficient and less toxic therapy. Our approach delivers a reliable molecular classifier to identify HNSCC and other SCC patients at higher risk for treatment failure with tumors characterized by a more prominent MAPK activity, who might benefit from a targeted treatment with MEK inhibitors. Abstract Squamous cell carcinoma (SCC) is the most prevalent histological type of human cancer, including head and neck squamous cell carcinoma (HNSCC). However, reliable prognostic gene signatures for SCC and underlying genetic and/or epigenetic principles are still unclear. We identified 37 prognostic candidate genes by best cutoff computation based on survival in a pan-SCC cohort (n = 1334) of The Cancer Genome Atlas (TCGA), whose expression stratified not only the pan-SCC cohort but also independent HNSCC validation cohorts into three distinct prognostic subgroups. The most relevant prognostic genes were prioritized by a Least Absolute Shrinkage and Selection Operator Cox regression model and were used to identify subgroups with high or low risks for unfavorable survival. An integrative analysis of multi-omics data identified FN1, SEMA3A, CDH2, FBN1, COL5A1, and ADAM12 as key nodes in a regulatory network related to the prognostic phenotype. An in-silico drug screen predicted two MEK inhibitors (Trametinib and Selumetinib) as effective compounds for high-risk SCC based on the Cancer Cell Line Encyclopedia, which is supported by a higher p-MEK1/2 immunohistochemical staining of high-risk HNSCC. In conclusion, our data identified a molecular classifier for high-risk HNSCC as well as other SCC patients, who might benefit from treatment with MEK inhibitors.
Microstructure through an Ice Sheet

Ice cores through an ice sheet can be regarded as a sample of a unique natural deformation experiment lasting up to a million years. Compared to other geological materials forming the earth‘s crust, the microstructure is directly accessible over the full depth. Controlled sublimation etching of polished ice sections reveals pores, air bubbles, grain boundaries and sub-grain boundaries at the surface. The microstructural features emanating at the surface are scanned. A dedicated method of digital image processing has been developed to extract and characterize the grain boundary networks. First preliminary results obtained from an ice core drilled through the Greenland ice sheet are presented. We discuss the role of small grains in grain size analysis and derive from the shape of grain boundaries the acting driving forces for grain boundary migration.
Unmanned Aerial Vehicles (UAVs) for Integrated Access and Backhaul (IAB) Communications in Wireless Cellular Networks

OF THE THESIS UNMANNED AERIAL VEHICLES (UAVS) FOR INTEGRATED ACCESS AND BACKHAUL (IAB) COMMUNICATIONS IN WIRELESS CELLULAR NETWORKS by Abdurrahman Fouda Florida International University, 2019 Miami, Florida Professor Ahmed S. Ibrahim, Major Professor An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of next-generation cellular networks. However, mutual interference between access and backhaul links, small inter-site distance and spatial dynamics of user distribution pose major challenges in the practical deployment of IAB networks. To tackle these problems, we leverage the flying capabilities of unmanned aerial vehicles (UAVs) as hovering IAB-nodes and propose an interference management algorithm to maximize the overall sum rate of the IAB network. In particular, we jointly optimize the user and base station associations, the downlink power allocations for access and backhaul transmissions, and the spatial configurations of UAVs. We consider two spatial configuration modes of UAVs: distributed UAVs and drone antenna array (DAA), and show how they are intertwined with the spatial distribution of ground users. Our numerical results show that the proposed algorithm achieves an average of 2.9× and 6.7× gains in the received downlink signal-to-interference-plus-noise ratio (SINR) and overall network sum rate, respectively. Finally, the numerical results reveal that UAVs cannot only be used for coverage improvement but also for capacity boosting in IAB cellular networks.
How Clan Culture Impairs Functions of Instructional Leadership: The Case of Israel

ABSTRACT Clan culture is a family-like work environment with strong bonds of loyalty and close relationships. The current study seeks to understand how this organizational culture, prevalent in the Israeli education system, influences instructional leadership implementation. Participants of this qualitative study were 36 Israeli school principals. Data were collected through semi-structured interviews. Findings identified three functions of instructional leadership that were weakened when Israeli principals were influenced by clan culture: supervising and evaluating instruction, protecting instructional time, and providing teachers incentives. This study fills a gap by exploring educational leadership’s application in different societies through the prism of the national context.
Perceiver Effects in Person Perception Reflect Acquiescence, Positivity, and Trait-Specific Content: Evidence From a Large-Scale Replication Study

Person judgments reflect perceiver effects: differences in how perceivers judge the average person. The factorial structure of such effects is still discussed. We present a large-scale, preregistered replication study using over 1 million person judgments (different groups of 200 perceivers judged 200 targets in one of 20 situations, using 30 personality items). Results unanimously favored a model comprising three systematic components: acquiescence (endorsing all items more than other perceivers), positivity (endorsing positive over negative items), and trait specificity (endorsing items reflecting a specific trait more). The latter two factors each accounted for approximately a quarter of the variance in perceiver effects, and acquiescence accounted for less than 10%. Positivity was more influential for evaluative items and was strongly associated with how likable perceivers found their targets to be (r = .55). With considerable statistical power and generalizability, our findings significantly improve the knowledge base regarding the structure of perceiver effects.
Psychological entitlement and organizational citizenship behaviors: the roles of employee involvement climate and affective organizational commitment

Abstract The present study develops and tests an overreaching theoretical framework based on social exchange theory to examine the situations under which individuals with high levels of psychological entitlement are more or less likely to exhibit positive work attitudes and behaviors. In particular, we integrate perspectives from the team climate literature to analyze the moderating effects of employee involvement climate at the workgroup level on the relationship between psychological entitlement and organizational citizenship behaviors (OCBs) through the mediating mechanism of affective commitment (a first-stage moderated mediation model). To test our hypotheses, we collected data from 231 supervisor-subordinate dyads across 41 work teams at a large Chinese automobile manufacturer. We find that when the employee involvement climate level is high, the effects of psychological entitlement on OCBs through affective commitment are positive and significant. In contrast, when the employee involvement climate level is low, the relationship is negative and significant. The present study makes a theoretical contribution to the literature by examining the frequently neglected positive side of psychological entitlement. It demonstrates that a high employee involvement climate helps to engage psychologically entitled employees by circumventing previously unbalanced social exchange relationships. We also discuss the practical implications of our findings and provide suggestions for human resource managers to maximize the contributions of entitled employees and foster their organizational commitment and OCBs.
Parental Internalizing Psychopathology and PTSD in Offspring after the 2012 Earthquake in Italy

Post-traumatic stress disorder (PTSD) is common in youths after earthquakes, with parental psychopathology among the most significant predictors. This study investigated the contribution and the interactional effects of parental internalizing psychopathology, the severity of exposure to the earthquake, and past traumatic events to predict PTSD in offspring, also testing the reverse pattern. Two years after the 2012 earthquake in Italy, 843 children and adolescents (9–15 years) living in two differently affected areas were administered a questionnaire on traumatic exposure and the UCLA PTSD Reaction Index. Anxiety, depression, and somatization were assessed in 1162 parents through the SCL-90-R. General linear model showed that, for offspring in the high-impact area, predictors of PTSD were earthquake exposure, past trauma, and parental internalizing symptoms, taken individually. An interaction between earthquake exposure and parental depression or anxiety (not somatization) was also found. In the low-impact area, youth PTSD was only predicted by earthquake exposure. The reverse pattern was significant, with parental psychopathology explained by offspring PTSD. Overall, findings support the association between parental and offspring psychopathology after natural disasters, emphasizing the importance of environmental factors in this relationship. Although further research is needed, these results should be carefully considered when developing mental health interventions.
A sexual superpower or a shame? Women’s diverging experiences of squirting/female ejaculation in Sweden

Squirting, or female ejaculation, is the expulsion of fluid during sexual stimulation. The limited scientific literature has focused primarily on clarifying what this fluid contains, while women’s own voices on the experience have received scant attention. This study explores 28 women’s experiences and applies a thematic analysis. The sensation of squirting is individual and sometimes conflicting. Descriptions range from considering it amazing, a superpower and feminist statement to an unpleasant and/or shameful event. Across the board, there is a wish for nuanced information and for the current taboo and mystification surrounding the subject to be broken.
Factors Determining the Revisit Intentions of the Tourists: A Case Study of Bhutan

Bhutan is an important tourist destination in South Asia, and its tourism industry has emerged as the second highest revenue generator next to hydropower. Retaining and enticing first-time tourists to revisit their country is an important policy adopted by many countries of the world. However, the growth trajectory of tourists’ flow to Bhutan changed with a sharp decline in the repeat tourists over the past straight 8 years (2011–2018) with an annual negative growth of 19.1%. Against this backdrop and the non-availability of any meaningful study on tourists’ revisit dynamics, this study investigates the factors associated with the Bhutan revisit intentions of regional and international tourists by using both quantitative and qualitative data. The quantitative data are analysed using multinomial logistic regression and are triangulated with qualitative findings. Factors such as perceived value of money, safety and control variables, viz. gender, age, category of tourists and employment are found significantly affecting tourists’ Bhutan revisit intentions. Eventually, this study also discusses policy implications at the level of the state and tour operators.
Hydrate Formation on Marine Seep Bubbles and the Implications for Water Column Methane Dissolution

Methane released from seafloor seeps contributes to a number of benthic, water column, and atmospheric processes. At seafloor seeps within the methane hydrate stability zone, crystalline gas hydrate shells can form on methane bubbles while the bubbles are still in contact with the seafloor or as the bubbles begin ascending through the water column. These shells reduce methane dissolution rates, allowing hydrate-coated bubbles to deliver methane to shallower depths in the water column than hydrate-free bubbles. Here, we analyze seafloor videos from six deepwater seep sites associated with a diverse range of bubble-release processes involving hydrate formation. Bubbles that grow rapidly are often hydrate-free when released from the seafloor. As bubble growth slows and seafloor residence time increases, a hydrate coating can form on the bubble's gas-water interface,
Hybrid Evolutionary Algorithm Based Relevance Feedback Approach for Image Retrieval

Searching images from the large image databases is one of the potential research areas of multimedia research. The most challenging task for nay CBIR system is to capture the high level semantic of user. The researchers of multimedia domain are trying to fix this issue with the help of Relevance Feedback (RF). However existing RF based approaches needs a number of iteration to fulfill user’s requirements. This paper proposed a novel methodology to achieve better results in early iteration to reduce the user interaction with the system. In previous research work it is reported that SVM based RF approach generating better results for CBIR. Therefore, this paper focused on SVM based RF approach. To enhance the performance of SVM based RF approach this research work applied Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) before applying SVM on user feedback. The main objective of using these meta-heuristic was to increase the positive image sample size from SVM. Firstly steps PSO is applied by incorporating the user feedback and secondly GA is applied on the result generated through PSO, finally SVM is applied using the positive sample generated through GA. The proposed technique is named as Particle Swarm Optimization Genetic AlgorithmSupport Vector Machine Relevance Feedback (PSO-G A-SVMRF). Precisions, recall and F-score are used as performance metrics for the assessment and validation of PSO-GA-SVM-RF approach and experiments are conducted on coral image dataset having 10908 images. From experimental results it is proved that PSO-GA-SVM-RF approach outperformed then various well known CBIR approaches.
Novel Psychoactive Drugs

s excluded, with reasons (n = 38): Duplicates (n = 31) Not written in English (n = 7) Full-text articles excluded, with reasons (n = 198): Reviews/commentaries/letters/meta-analysis (n = 6) Full-text articles assessed Animal studies (n = 139) for eligibility (n = 222) Unavailable (n = 6) unrelated to topic (n = 47) Full-text articles included in qualitative synthesis (n =24) FigURe 1 | Selection of retrieved studies. for the aims of our papers (due to the lack of an English abstract). Of the remaining 222 studies, further 186 studies were excluded because they did not meet the inclusion criteria or because they were non-human studies. Of the remaining 36 papers, 6 papers were excluded because they were reviews, letters to editors, or metanalyses; however, 6 papers were not included here due to the lack of an available full text or an abstract useful for collecting relevant data. Finally, a total of 24 papers were included and accounted for in our analysis. Table 2 shows the main characteristics (study design, sample size, main outcomes, and findings) of all studies reviewed here.
Ammonia Volatilization, Forage Accumulation, and Nutritive Value of Marandu Palisade Grass Pastures in Different N Sources and Doses

The reduction in ammonia (NH3) losses from volatilization has significant implications in forage production. The objective of this study was to evaluate the impact of N fertilizers (urea, ammonium nitrate, and ammonium sulfate) and four doses (0, 90, 180 and 270 kg N ha−1) on N losses by NH3 volatilization, accumulation, and forage chemical composition of Urochloa brizantha cv Marandu. Two field experiments were conducted to measure NH3 losses using semi-open chambers. The forage accumulation and chemical composition were evaluated in the third experiment; the response variables included forage accumulation, crude protein (CP), and neutral detergent fiber (NDF). Compared to urea, ammonium nitrate and ammonium sulfate reduced NH3 losses by 84% and 87% and increased total forage accumulation by 14% and 23%, respectively. Forage accumulation rate and CP increased linearly with the N levels, while NDF contents decreased linearly with the N levels. In both experiments, NH3 losses and forage characteristics were different according to the rainfall pattern and temperature variations. Our results indicate that the use of nitric and ammoniacal fertilizers and the application of fertilizer in the rainy season constitute an efficient fertilizer management strategy to increase forage yield and decrease losses from volatilization of NH3.