Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a model of giftedness in programming: an investigation of programming characteristics of gifted students at University of Warwick

This study investigates characteristics related to learning programming for gifted first year computer science students. These characteristics include mental representations, knowledge representations, coding strategies, and attitudes and personality traits. This study was motivated by developing a theoretical framework to define giftedness in programming. In doing so, it aims to close the gap between gifted education and computer science education, allowing gifted programmers to be supported. Previous studies indicated a lack of theoretical foundation of gifted education in computer science, especially for identifying gifted programmers, which may have resulted in identification process concerns and/or inappropriate support. The study starts by investigating the relationship between mathematics and programming. We collected 3060 records of raw data of students’ grades from 1996 to 2015. Descriptive statistics and the Pearson product-moment correlation test were used for the analysis. The results indicate a statistically significant positive correlation between mathematics and programming in general and between specific mathematics and programming modules. The study evolves to investigate other programming-related characteristics using case study methodology and collecting quantitative and qualitative data. A sample of n=9 cases of gifted students was selected and was interviewed. In addition, we collected the students’ grades, code-writing problems and project (Witter) source codes and analysed these data using specific analysis procedures according to each method. The results indicate that gifted student programmers might possess a single or multiple characteristics that have large overlaps. We introduced a model to define giftedness in programming that consists of three profiles: mathematical ability, creativity and personal traits, and each profile consists of sub-characteristics.
Convection-Enhanced Delivery of Antiangiogenic Drugs and Liposomal Cytotoxic Drugs to Heterogeneous Brain Tumor for Combination Therapy

Simple Summary Although developed anticancer drugs have shown desirable effects in preclinical trials, the clinical efficacy of chemotherapy against brain cancer remains disappointing. One of the important obstacles is the highly heterogeneous environment in tumors. This study aims to evaluate the performance of an emerging treatment using antiangiogenic and cytotoxic drugs. Our mathematical modelling confirms the advantage of this combination therapy in homogenizing the intratumoral environment for better drug delivery outcomes. In addition, the effects of local microvasculature and cell density on this therapy are also discussed. The results would contribute to the development of more effective treatments for brain cancer. Abstract Although convection-enhanced delivery can successfully bypass the blood-brain barrier, its clinical performance remains disappointing. This is primarily attributed to the heterogeneous intratumoral environment, particularly the tumor microvasculature. This study investigates the combined convection-enhanced delivery of antiangiogenic drugs and liposomal cytotoxic drugs in a heterogeneous brain tumor environment using a transport-based mathematical model. The patient-specific 3D brain tumor geometry and the tumor’s heterogeneous tissue properties, including microvascular density, porosity and cell density, are extracted from dynamic contrast-enhanced magnetic resonance imaging data. Results show that antiangiogenic drugs can effectively reduce the tumor microvascular density. This change in tissue structure would inhibit the fluid loss from the blood to prevent drug concentration from dilution, and also reduce the drug loss by blood drainage. The comparisons between different dosing regimens demonstrate that the co-infusion of liposomal cytotoxic drugs and antiangiogenic drugs has the advantages of homogenizing drug distribution, increasing drug accumulation, and enlarging the volume where tumor cells can be effectively killed. The delivery outcomes are susceptible to the location of the infusion site. This combination treatment can be improved by infusing drugs at higher microvascular density sites. In contrast, infusion at a site with high cell density would lower the treatment effectiveness of the whole brain tumor. Results obtained from this study can deepen the understanding of this combination therapy and provide a reference for treatment design and optimization that can further improve survival and patient quality of life.
Effect of Natural Antioxidants from Fruit Leaves on the Oxidative Stability of Soybean Oil during Accelerated Storage

Plant by-products are safe, sustainable, and abundant natural antioxidant sources. Here we investigated the antioxidant activity of a mixture of lyophilized pomegranate, guava, and grape (PGG) leaves water extract (1:1:1) and examined its ability to retard the rancidity of soybean oil during accelerated storage at 65 °C for 30 days. To achieve this, we evaluated the oxidative stability of soybean oil enriched with PGG extract at 200, 400, and 800 ppm. We also compared the effect of PGG extract with butylated hydroxytoluene (BHT) (400/100 ppm) with that of only BHT (200 ppm). We observed that 8.19 and 1.78 µg/mL of the extract could scavenge 50% of DPPH• and ABTS•, respectively, indicating its enhanced antioxidant activity. Enriching soyabean oil with the extract at 800 ppm improved its oxidative stability by reducing the acid value to 1.71 mg/g and the total oxidation to 99.87 compared to 2.27 mg/g and 150.32 in the raw oil, respectively. Moreover, PGG-800 ppm inhibited oxidation by 46.07%. Similarly, PGG-400 ppm reinforced BHT (100 ppm) to provide oxidative stability as BHT (p > 0.05), with TOTOX values of 87.93 and 79.23, respectively. PGG-800 ppm and PGG/BHT mix potently inhibited the transformation of polyunsaturated fatty acids into saturated ones. Therefore, the PGG extract might be an efficient substitute for BHT (partially or totally) during industrial processes.
Comparative analysis of differential gene expression in two species of crucian carps in response to Cyprinid herpesvirus 2 (CyHV-2) infection

We assessed the expressions of MHCI, LYZC, keratin8, MPO, DUSP1, IκBα, Rab21, and Rac2 between two species of carps (Erqisi river crucian carp and allogynogenetic crucian carp) after Cyprinid herpesvirus 2 (CyHV-2) infection. The relative expressions of MHCI, LYZC, and keratin8 in the virus-challenged groups were significantly higher than control groups. Moreover, the expression of IκBα in the virus-challenged groups was significantly lower than in the control groups. Compared with the virus-challenged ERO group, the expression of IκBα in the virus-challenged ZHO group decreased. The expression of Rab21 in the virus-challenged groups gradually increased and was significantly higher than in the control groups, and then its expression began to decrease after 24 h. At 72 h, the expression of IκBα in both virus-challenged groups was significantly lower than in the control groups. In addition, the expression of Rab21 in the virus-challenged ZHO group was significantly higher than the virus-challenged ERO group at all time points except for 72 h. Before 24 h, the expression of Rac2 remained unchanged in these four groups, and its expression in the virus-challenged ZHO group was significantly higher than in the other three groups. Nevertheless, its expression began to decrease after 24 h but was still slightly higher than the control group at 72 h. MPO showed a similar expression pattern as Rac2. The expression of DUSP1 in the four groups was the same at 0 h. However, its expression in the virus-challenged ZHO group was significantly higher than in the other three groups at other time points.
Identifying Key Nodes in Complex Networks Based on Local Structural Entropy and Clustering Coefficient

Key nodes have a significant impact, both structural and functional, on complex networks. Commonly used methods for measuring the importance of nodes in complex networks are those using degree centrality, clustering coefficient, etc. Despite a wide range of application due to their simplicity, their limitations cannot be ignored. The methods based on degree centrality use only first-order relations of nodes, and the methods based on the clustering coefficient use the closeness of the neighbors of nodes while ignore the scale of numbers of neighbors. Local structural entropy, by replacing the node influence on networks with local structural influence, increases the identifying effect, but has a low accuracy in the case of high clustered networks. To identify key nodes in complex networks, a novel method, which considers both the influence and the closeness of neighbors and is based on local structural entropy and clustering coefficient, is proposed in this paper. The proposed method considers not only the information of the node itself, but also its neighbors. The simplicity and accuracy of measurement improve the significance of characterizing the reliability and destructiveness of large-scale networks. Demonstrations on constructed networks and real networks show that the proposed method outperforms other related approaches.
The psychological therapy preferences of patients who hear voices

ABSTRACT Background Voice-hearing is a common, phenomenologically diverse, experience across different mental health diagnoses. Patient preferences for psychological therapies are helpful in informing treatment commissioning and provision, especially in the context of complex and variable experiences like voice-hearing. There is, however, very limited evidence as to the psychological therapy preferences of transdiagnostic voice-hearers. Methods Three-hundred and thirty-five voice hearers were recruited from secondary care NHS mental health services across England, between 2020 and 2022. Participants completed a questionnaire battery, involving a psychological therapy preference survey. Participants ranked their preferences across categories of practical, technical and relational therapy elements. Therapy preferences were examined using non-parametric ANOVAs and the significance of pairwise comparisons between different therapy elements. Results There were significant differences in all categories of preference elements. Clear hierarchies of preference were observed in therapy location, timing, delivery, and therapy approach. Preferences were evident, albeit with less clear vertical hierarchies, for number of sessions, mode, therapist qualities, and therapy focus, tasks and outcomes. Discussion Overall, participants expressed a preference for individual, face-to-face intervention of at least nine sessions, with a highly experienced therapist and a core focus on enhancing coping strategies for voice-hearing experiences.
Compensation of Second Harmonic Current Based on Bus Voltage Ripple Limitation in Single-Phase Photovoltaic Grid-Connected Inverter

In the two-stage single-phase photovoltaic (PV) grid-connected inverter, the flying-capacitor-clamped boost three-level converter is adopted to achieve maximum power point tracking of the PV panel. To restrain the second harmonic current (SHC) in the PV panel and remove the undesired electrolytic capacitors, the flying capacitor is employed to compensate the SHC. To achieve this goal, the flying capacitor average voltage control incorporated bus voltage ripple limitation scheme is proposed in this letter. The closed-loop parameters design for the bus voltage ripple limitation loop is given. Finally, a prototype of 3-kVA PV grid-connected inverter is fabricated and tested in the lab, and the experimental results verify the validity of the proposed scheme.
Demographics, Radiological Findings, and Clinical Outcomes of Klebsiella pneumonia vs. Non-Klebsiella pneumoniae Pyogenic Liver Abscess: A Systematic Review and Meta-Analysis with Trial Sequential Analysis

Pyogenic liver abscess (PLA) is a common cause of hepatobiliary sepsis. Klebsiella pneumoniae (KP) is the most common organism causing PLA. Evidence is scarce on the demographics, radiological findings, and outcomes of KPPLA versus non-KPPLA (N-KPPLA). PubMed, Embase, The Cochrane Library, and Scopus were systematically searched until 14 May 2022 for studies comparing KPPLA and N-KPPLA. Exclusion criteria were single-arm studies. Primary outcomes were mortality (30-day/in-hospital) and metastatic complications. There were 16 studies, including 5127 patients (KPPLA n = 3305, N-KPPLA n = 1822). Patients with KPPLA were younger (mean difference: −2.04 years, p = 0.02). History of hepatobiliary disease (Odds ratio (OR) 0.30, 95% CI: 0.20, 0.46) and malignancy (OR 0.26, 95% CI: 0.16, 0.42) were less common in KPPLA. KPPLA was associated with lower incidence of multiple abscesses (OR 0.52, 95% CI: 0.35, 0.76, p < 0.001) and bilobar abscesses (OR 0.60, 95% CI: 0.49, 0.74, p < 0.001). KPPLA has higher overall metastatic complications (KPPLA 9.7% vs. N-KPPLA 4.8%, OR 3.16, 95% CI: 2.00, 4.99, p < 0.001), but lower mortality (KPPLA 3.9% vs. N-KPPLA 7.6%, OR 0.51, 95% CI: 0.34, 0.78, p < 0.001). Trial sequential analysis showed conclusive evidence that KPPLA has lower mortality than N-KPPLA. In conclusion, KPPLA has lower mortality than N-KPPLA.
Robust control for a class of uncertain nonlinear systems with input quantization

In this paper, we propose a robust tracking control scheme for a class of uncertain strict‐feedback nonlinear systems. In these systems, the control signal is quantized by a class of sector‐bounded quantizers including the well‐known hysteresis quantizer and logarithmic quantizer. Compared with the existing results in input‐quantized control, the proposed scheme can control systems with non‐global Lipschitz nonlinearities and unmatched uncertainties caused by model uncertainties and external disturbances. It is shown that the designed robust controller ensures global boundedness of all the signals in the closed‐loop system and enables the tracking error to converge toward a residual, which can be made arbitrarily small. Copyright © 2015 John Wiley & Sons, Ltd.
Perception of cyberbullying among students: the study of a developing country

Purpose This study aims to investigate students’ perceptions regarding the causes and effects of cyberbullying among university students. The study also establishes whether or not there would be statistically significant differences among cyberbullying victims, perpetrators, victim-perpetrators and bystanders in their thoughts on the causes and effects of cyberbullying on students’ social lives from a developing country perspective. Design/methodology/approach This study uses quantitative approach and cross-sectional survey design to collect primary data from 1,374 undergraduate students sampled from selected public universities in Ghana. Descriptive statistics and analysis of variance analyses were carried out using statistical package for the social sciences. Findings The study reports popularity among friends, extortion, retaliation, stress, trauma and low self-esteem as causes of cyberbullying. Also, cyberbullying resulted in difficulty trusting people, low self-esteem and increased stress. The study also found statistically significant differences among cyberbullying victims, perpetrators, victim-perpetrators and bystanders in their thoughts on the causes and effects of cyberbullying on students’ social lives. Practical implications The study’s findings imply that cyberbullying has some fairly significant negative effects on students’ lives in Ghana and must be taken more seriously. Conditions must be created to ensure that perpetrators and victims are given the support needed to curb this menace. Detailed remediating measures are provided in the study. Originality/value This paper contributes to the existing literature by studying cyberbullying perceptions among students from a relatively bully-tolerant culture.
Technological Pedagogical Content Knowledge, Commitment and Motivation of Physics Teachers to Implement Online Teaching and Learning during COVID-19 Pandemic

Most educational institutions were closed as one of the measures to deal with the COVID-19 pandemic. Teachers are mobilized to adapt online teaching and learning (OTL) methods to continue the educational process. However, previous studies have found that teacher motivation is affected due to this pandemic. Therefore, a quantitative study using questionnaire was conducted to examine the influence of Technological Pedagogical Content Knowledge (TPACK) and commitment on Physics teachers' motivation to implement OTL. A total of 77 male and 109 female Physics teachers in Sabah were selected using a stratified random sampling method. Descriptive analysis using SPSS found that teachers' level of TPACK, commitment, and motivation in implementing OTL is high. Multiple regression analysis found that the constructs of Content Knowledge and Technological Pedagogical Content Knowledge in TPACK have a significant relationship and influence on the motivation to implement OTL. The commitment constructs: Commitment to School, Commitment to Teaching, and Commitment to Profession, were also found to have a significant relationship and influence on the motivation to implement OTL. This study is helpful to stakeholders in understanding the situation of Physics teachers while carrying out essential tasks in the context of the Covid-19 pandemic to formulate relevant policies and programs for the survival of the national education system.
Walking in the Absence of Anterior Cruciate Ligament: The Role of the Quadriceps and Hamstrings

The actual need for surgical reconstruction of an injured anterior cruciate ligament (ACL) is still a matter of debate. The aim of this study was to quantify and analyze the knee kinematics and the ligament force redistribution resulting from the ACL sacrifice and the consequent effects of changing the quadriceps and hamstring activity during walking. A three-dimensional musculoskeletal model was used to simulate the behavior of the knee joint during the gait cycle, in different testing conditions: an ACL-deficient knee, an ACL-deficient knee with hamstrings inactivated and an ACL-deficient knee with quadriceps inactivated. Our results showed that in the ACL-deficient knee, the medial collateral ligament (MCL) was the main passive stabilizer of the anterior translation of the tibia. Furthermore, the compensation effects produced by the hamstrings and quadriceps in the ACL-deficient knee during walking were quantified and analyzed. In the case of ACL sacrifice, reducing the quadriceps activity would allow for relieving all ligaments in general, except for the posterior cruciate ligament, which required more consistent recruitment in the support phase. Meanwhile, hamstring activity was crucial not only to compensate for the absence of ACL in limiting the anterior tibial displacement but also to reduce the risk of MCL injury.
Review on structural design of underwater manipulator

Underwater manipulator plays an important role in underwater operation, and structural design is of great significance to the function and underwater operation of underwater manipulator. At present, the structural design lacks systematic summary. This paper attempts to illustrate the structure of underwater manipulator according to its carrier, operation and function, clarify the matters needing attention in the design of underwater manipulator, and provide summary experience for the design of underwater manipulator.
Measurement of plasma flows using Mach probe arrays

A rectangular array of three-dimensional Mach probes is constructed and installed in the plasma vessel of the Versatile Toroidal Facility (VTF) at MIT in order to measure ion flow velocity on the cross section of the VTF. The probes are tested using wellcharacterized toroidal plasma 'blobs' in order to determine the array's functionality and applicability to measuring ion flow during reconnection events in the VTF. The Mach probe is used to infer the radial speed of the blobs, and the blob speeds are measured independently by a Langmuir probe array. Using the blob velocity dataset from the Langmuir array as a reference with which to compare the Mach probe data, the theory of unmagnetized Mach probes is be tested. Additionally, the inverse proportionality between blob speed and neutral pressure shown to exist in a previous study of blobs in the VTF is confirmed by Mach probe data. Finally, data from the array show that the blobs are rotating clockwise with Mach numbers of between 0.1 and 0.2, although the mechanism driving this rotation is unknown. Thesis Supervisor: Jan Egedal Title: Assistant Professor
Triassic stratigraphy and biostratigraphy in Socorro County, New Mexico

A BSTRACT — The Triassic outcrops in Socorro County, New Mexico have received relatively little study compared to correla- tive strata in the north-central and east-central parts of the state. Triassic sections to the north of Carthage, Socorro County (T5S, R2E), encompass the Middle Triassic Moenkopi Formation and Upper Triassic Chinle Group (Shinarump and San Pedro Arroyo formations). The Moenkopi Formation (Anton Chico Member) disconformably overlies the siltstone-dominated Middle Permian Artesia Formation and is mostly cross-bedded sandstones and less common beds of mudstone, siltstone and intraformational conglomerate. Fragmentary capitosauroid amphibian identiﬁable fossils from (Anisian) member-rank siltstones, thinly pebble conglomerates. Huelos lime pisolitic member calcrete complex. Cañon m) mudstone micaceous sandstone ledges. Late tetrapod faunas metoposaur- and phytosaur-dominated. metoposaurid amphibians recovered from the Araya Well and the Ojo Huelos members, “metoposaurid acme the Chinle, Ojo
Sport Prosumer Networks: Capital and Value of American Sports During Covid-19

Prosumption capital is underexplored within social media sites, especially within sports. This article explores how the Covid-19 disruptions were used to extract prosumption capital from Twitter. Adopting an economic sociology perspective to measure prosumption capital, 2.3 million tweets were analyzed across the National Basketball Association, Major League Baseball, National Hockey League, and Major League Soccer sports properties. This article applies social network analysis measures, indegree, domain, and proximity prestige to measure prosumption capital and shows how media organizations and other public figures capitalized on the Covid-19 disruptions. It also shows how the structure and those capitalizing through prosumption on Twitter are similar across the sports properties.
Tetraspanin 8 Subfamily Members Regulate Substrate-Specificity of a Disintegrin and Metalloprotease 17

Ectodomain shedding is an irreversible process to regulate inter- and intracellular signaling. Members of the a disintegrin and metalloprotease (ADAM) family are major mediators of ectodomain shedding. ADAM17 is involved in the processing of multiple substrates including tumor necrosis factor (TNF) α and EGF receptor ligands. Substrates of ADAM17 are selectively processed depending on stimulus and cellular context. However, it still remains largely elusive how substrate selectivity of ADAM17 is regulated. Tetraspanins (Tspan) are multi-membrane-passing proteins that are involved in the organization of plasma membrane micro-domains and diverse biological processes. Closely related members of the Tspan8 subfamily, including CD9, CD81 and Tspan8, are associated with cancer and metastasis. Here, we show that Tspan8 subfamily members use different strategies to regulate ADAM17 substrate selectivity. We demonstrate that in particular Tspan8 associates with both ADAM17 and TNF α and promotes ADAM17-mediated TNF α release through recruitment of ADAM17 into Tspan-enriched micro-domains. Yet, processing of other ADAM17 substrates is not altered by Tspan8. We, therefore, propose that Tspan8 contributes to tumorigenesis through enhanced ADAM17-mediated TNF α release and a resulting increase in tissue inflammation.