Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing the harmful effects of perceived overqualification amongst students in China: the roles of student leader and extracurricular activities

ABSTRACT College students are currently facing various crises due to psychological issues, driving universities to prioritise their mental health. Perceived overqualification negatively affects students’ well-being. Drawing on the person-organisation fit theory, we propose that perceived overqualification reduces students’ organisational identification, study engagement, and personal accomplishment. Furthermore, serving as a student leader and the frequency of extracurricular activities (ECA) participation play moderating roles. We conducted a two-wave survey with 423 freshmen at a university in China. Results showed that perceived overqualification negatively affected all three outcomes. In addition, serving as a student leader mitigated the negative effects of perceived overqualification on organisational identification and personal accomplishment, whereas the moderating effect of the frequency of ECA participation was not significant. Nonetheless, a supplementary analysis found that when students participated in ECA related to social practice, their perceived overqualification enhanced their personal accomplishment. Finally, our theoretical contributions to the existing literature are discussed, and suggestions are proposed for universities to impede the harmful effects of students’ perceived overqualification.
Application of a convection‐permitting ensemble prediction system to quantitative precipitation forecasts over southern China: Preliminary results during SCMREX

As a preliminary attempt to cope with the low predictability of heavy rainfall over southern China in the pre‐summer rainy season, an experimental convection‐permitting ensemble prediction system (GM‐CPEPS) based on the Global/Regional Assimilation and Prediction System (GRAPES) is developed. GM‐CPEPS produces 12 h forecasts at 0.03° horizontal resolution based on 16 perturbed members. Perturbations from downscaling, ensemble of data assimilation, time‐lagged scheme and topography are combined to generate the initial perturbations. Sea‐surface temperature is perturbed and a combination of downscaling and balanced random perturbations is used to perturb the lateral boundary conditions. Stochastically perturbed parametrization tendencies, multi‐physics, and perturbed parameters are all implemented.
Quantum Microwave Radiation and its Interference Characterized by Correlation Function Measurements in Circuit Quantum Electrodynamics

Superconducting circuits provide an attractive architecture for quantum optics experiments in solid state systems. Microwave radiation interacts strongly with individual (macroscopic) quantum systems, and enables to realize emitters of single photons. The statistical property of emitting exactly a single photon as information carrier makes these emitters relevant for quantum communication and information processing protocols. To display statistical properties of a radiation source, their correlation functions are usually measured. In the optical frequency domain this is realized using photo detectors. At microwave frequencies linear amplifiers effectively measure the amplitude of propagating electromagnetic fields. However, noise necessarily added to the microwave signal in the process of amplification and inefficiencies of correlation function measurements prevented studies of the statistics of microwave-frequency quantum fields and their interference effects up to now. In this thesis I discuss the statistical characterization of continuous and pulsed single-photon sources, and investigate two-photon interference at an on-chip beam splitter. I demonstrate that even in the presence of a high noise level characteristic for conventional microwave amplifiers, the photon statistics of quantum radiation sources can be acquired. Correlation functions are extracted by recording the linearly amplified electromagnetic field and analyzing it using efficient digital signal processing. Field programmable gate array (FPGA) based electronics is developed to process and average these data continuously and in real-time. Through first-order correlations I investigate resonance fluorescence and Rayleigh scattering in Mollow-triplet-like spectra. Single-photon antibunching is clearly observed in second-order correlation function measurements. We fully characterize the coalescence of indistinguishable single photons at an on-chip beam splitter into a pair of photons, generating non-local entanglement in the beam splitter output modes. The measurement device developed within this thesis project has widely broadened microwave frequency signal analysis, and enables real-time feed-back in future experiments due to customizable signal processing. The presented experiments constitute a first step towards using single-photon sources and two-photon interference at microwave frequencies for quantum communication and information processing.
Investigation of new generator technologies for offshore wind turbines

The aim of this PhD report is the investigation of electrical generators dedicated to an offshore wind turbine application. The main goal is to find optimal solutions in a vast research domain containing between eight and eleven optimization variables, while respecting a the imposed constraints. In order to achieve this goal, a multi-physics model was developed allowing the determination of the electromagnetic and temperature fields distributions in the selected topologies. Lumped models coupled to the interpolation functions were chosen as a solution offering a good computation time / precision ratio, thus taking into consideration the characteristics of the materials (thermal and magnetic). The developed model was coupled to a genetic optimization algorithm, NSGAII, allowing at first; the investigation of the necessary permanent magnets weight and the active parts one of two permanent magnet synchronous generator topologies where in the first the magnets are mounted in surfaces and in the second inserted in order to have flux concentration, three different powers have been investigated 5, 8 and 15 [MW]. Second, the integration of a magnetic gear in the wind energy conversion chain was studied using the same optimal approach previously used, while comparing the weight required of permanent magnets for this type of training with that of direct drive topologies (without gearbox).
A survey on exact algorithms for the maximum flow and minimum‐cost flow problems

Network flow problems form an important and much‐studied family of combinatorial optimization problems, with a huge array of practical applications. Two network flow problems in particular have received a great deal of attention: the maximum flow and minimum‐cost flow problems. We review the progress that has been made on exact solution algorithms for these two problems, with an emphasis on worst‐case running times.
Numerical investigation of the influence of gravity on the Rayleigh–Plateau jet instability

Controlled jet breakup processes are commonly used in many fields of industrial applications, such as inkjet printing, spray painting, and fuel injection. Most of these applications rely on the accurate prediction of the size of droplets resulting from breakup. While many parameters influence the droplets’ size, the present study focuses on the influence of the Bond number. This dimensionless number measures the influence of body forces compared with surface tension, which usually drives the Rayleigh–Plateau instability. The present work uses numerical simulation to assess the influence of the Bond number on both main droplets and satellites issuing from the Rayleigh–Plateau instability jet.
Awareness of the spectrum condition of autism among pre-primary school teachers in Western Kenya

BACKGROUND Autism is a spectrum of neurodevelopmental disorders exhibited in early childhood with variable manifestations as children grow up. However, the level of awareness of the condition is poorly understood among pre-primary school teachers. This study, therefore, assessed the awareness of the spectrum condition of autism among pre-primary school teachers in western Kenya. MATERIALS AND METHODS A descriptive cross-sectional study design was employed and data collected from 321 participants using semi-structured questionnaires and Key Informant interviews. The participants were selected using purposive sampling. The quantitative data were analyzed using SPSS version 20 and qualitative data analyzed thematically RESULTS The response rate was 76.9% with 16.8% (41) males and 83.2% (203) females. A total of 41.5% (n=110) of the teachers had never heard of autism. Of all teachers who had heard of autism, 100% (7) were from special needs schools, and 64.4% (67) and 45.1% (60) were from public and private schools, respectively. About 78.8% (105) of teachers perceived autism as a neurodevelopmental disability and academically challenged children, 15% (20) as a psychiatric illness similar to madness, 4.5% (6) as spiritual affliction/demon-possessed children and 1.5% (2) as parental neglected children. CONCLUSIONS AND RECOMMENDATIONS This study shows that pre-primary school teachers have inadequate awareness of the spectrum condition of autism, and this limits educational service delivery. This study therefore recommends special training for pre-primary school teachers and improvement of the curriculum and training to include the spectrum condition of autism.
Hippocampal Sparing in Stereotactic Radiotherapy for Multiple Brain Metastases: A Comparison of Intensity-modulated Arc Therapy, CyberKnife, and Helical Radiotherapy

OBJECTIVE In this study, we performed a plan study to evaluate brain and hippocampal doses with hippocampal sparing in the treatment of multiple brain metastases with stereotactic radiosurgery (SRS). For this purpose, treatment plans prepared using intensity-modulated arc therapy (IMAT), CyberKnife radio-surgery
Utilization of artificial intelligence technology in an academic writing class: How do Indonesian students perceive?

Research shows that artificial intelligence (AI) technology positively influences students’ writing skills, but this area has yet to be touched by Indonesian researchers. This study aims to map perception, obstacles, and recommendations for optimizing use of AI in teaching academic writing in Indonesian. This article focuses on a case study of three senior high schools in Central Java, Indonesia. It employs quantitative and qualitative data. The researcher collected the data using questionnaires presented with Likert scale, followed by an in-depth interview through mobile instant messaging interview. Findings show that (1) AI-based learning tools help students to do academic research, especially in the planning step, to identify and develop the topics, as well as in the drafting step, to develop a paper draft, (2) AI-based learning tools are deemed flexible in accessibility despite not being able to cover all necessities required by students in writing process, (3) students are interested in using AI technology in academic writing class so that learning process will not be boring. Although AI has been used in academic writing classes, tools have not positively impacted quality of students’ academic papers in all indicators. There are several obstacles to using AI, namely (1) need for more available feature, especially in editing Indonesian text, and (2) in contrast, the features still need to be optimized. These are the recommendations for the optimization of AI-based learning tools, which are (1) adding features to edit Indonesian text, including spelling, diction, and sentence structure, and (2) enhancing AI literacy to be able to explore and leverage the existing features optimally. This research has yet to accommodate the possible coverage in checking the originality and accuracy of the written product assisted by AI-based learning tools, which could become a focus for future researchers.
Three-Dimensional Thermoelastic Problem Under Two-Temperature Theory

The present paper deals with the problem of thermoelastic interactions in a homogeneous, isotropic three-dimensional medium whose surface suffers a time dependent thermal loading. The problem is treated on the basis of three-phase-lag model and dual-phase-lag model with two temperatures. The medium is assumed to be unstressed initially and has uniform temperature. Normal mode analysis technique is employed onto the non-dimensional field equations to derive the exact expressions for displacement component, conductive temperature, thermodynamic temperature, stress and strain. The problem is illustrated by computing the numerical values of the field variables for a copper material. Finally, all the physical fields are represented graphically to analyze the difference between the two models. The effect of the two temperature parameter is also discussed.
Tukey quotients, pre-ideals, and neighborhood filters with calibre (omega 1, omega)

This work seeks to extract topological information from the order-properties of certain pre-ideals and pre-filters associated with topological spaces. In particular, we investigate the neighborhood filter of a subset of a space, the pre-ideal of all compact subsets of a space, and the ideal of all locally finite subcollections of an open cover of a space. The class of directed sets with calibre (omega 1, omega) (i.e. those whose uncountable subsets each contain an infinite subset with an upper bound) play a crucial role throughout our results. For example, we prove two optimal generalizations of Schneider's classic theorem that a compact space with a G_delta diagonal is metrizable. The first of these can be stated as: if X is (countably) compact and the neighborhood filter of the diagonal in X^2 has calibre (omega 1, omega) with respect to reverse set inclusion, then X is metrizable. Tukey quotients are used extensively and provide a unifying language for expressing many of the concepts studied here.
Derived A-infinity algebras : combinatorial models and obstruction theory

Let R be a commutative ring, and let A be a derived A_\infty-algebra over R with structure maps m_{ij} for all i\geq 0, j \geq 1. In this thesis we construct a collection of based topological spaces V_{ij} which give rise to the notion of a DA_\infty-space. The structure of these spaces gives new insight into the structure of a derived A_\infty-algebra. We study the cell structure of these spaces via a combinatorial model using partitioned trees. We will prove that the singular chain complex on a DA_\infty-space gives rise to a derived A_\infty-algebra. We go on to consider obstruction theories to the existence of the structure maps of a derived A_\infty-algebra. The bigrading on A leads to choices of the order in which we develop the derived A_\infty-structure. We give three diﬀerent deﬁnitions of a “partial” derived A_\infty-structure and in light of these deﬁnitions provide two diﬀerent obstruction theories to extend a dA´_{ij}-structure to a dA_{ij} structure, plus an obstruction theory to extend a dA_{r-1}-structure to a dA_{r+1}-structure. In each case, the obstruction lies in a particular class of the Hochschild cohomology of the homology of A.
On basins of attraction for a predator-prey model via meshless approximation

In this work an epidemiological predator-prey model is studied. It analyzes the spread of an infectious disease with frequency-dependent and vertical transmission within the predator population. In particular we consider social predators, i.e. they cooperate in groups to hunt. The result is a three-dimensional system in which the predator population is divided into susceptible and infected individuals. Studying the dynamical system and bifurcation diagrams, a scenario was identified in which the model shows multistability but the domain of attraction of one equilibrium point can be so small that it is almost the point itself. From a biological point of view it is important to analyze this effect in order to understand under which conditions the population goes extinct or survives. Thus we present a study to analyze the basins of attraction of the stable equilibrium points. This paper addresses the question of finding the point lying on the surface which partitions the phase plane. Therefore a meshless app.
Implementation Of Employee Work Discipline At BPR NBP 32 Karawang

This study aims to determine how to apply employee work discipline at BPR NBP 32 Karawang. This research was conducted at BPR NBP 32 Karawang which is located at Komplek Johar Indah Block A-3. This study used a qualitative descriptive method with a population of 39 employees with a triangulation data collection technique through interviews, literature studies and portfolio documents resulting from research activities. The results of this study indicate that every month many employees do not come to work, besides that there are still employees who do not attend on time or are late. Based on the results of the study it can be concluded that all employees and leaders of BPR NBP 32 Karawang are required to take attendance through the SISCHA application. Every employee who commits a violation in both light categories will be subject to sanctions in the form of a supervisor's warning, for moderate categories will be subject to salary deductions and severe categories will be subject to sanctions with warning letters and termination of employment.
Investigation of Expression Profile of Placenta-specific 1 (PLAC1) in Acute Myeloid and Lymphoid Leukemias

Background: Placenta-specific 1 (PLAC1) is one of the cancer-testis-placenta antigens that has no expression in normal tissue except placenta trophoblast and testicular germ cells, but is overexpressed in a variety of solid tumors. There is a lack of studies on the expression of PLAC1 in leukemia. We investigated expression of PLAC1 in Acute Myeloid Leukemia (AML) and Acute Lymphoblastic Leukemia (ALL). Methods: In this study, we investigated expression pattern of PLAC1 gene in peripheral blood and bone marrow mononuclear cells of newly-diagnosed patients with AML (n=31) and ALL (n=31) using quantitative real-time PCR. Normal subjects (n=17) were considered as control. The PLAC1 protein expression in the samples were also detected using western blotting. Results: Our data demonstrated that PLAC1 transcripts had 2.7 and 2.9 fold-change increase in AML and ALL, respectively, compared to normal samples. PLAC1 transcript expression was totally negative in all studied normal subjects. Level of PLAC1 mRNA expression in ALL statistically increased compared to normal samples (p=0.038). However, relative mRNA expression of PLAC1 in AML was not significant in comparison to normal subjects (p=0.848). Furthermore, relative mRNA expression of PLAC1 in AML subtypes was not statistically significant (p=0.756). PLAC1 gene expression showed no difference in demographical clinical and para-clinical parameters. Western blotting confirmed expression of PLAC1 in the ALL and AML samples. Conclusion: Considering PLAC1 expression profile in acute leukemia, PLAC1 could be a potential marker in leukemia which needs complementary studies in the future.
Diagnosis and treatment of Combined Pulmonary Fibrosis and Emphysema (CPFE)

Combined pulmonary fibrosis and emphysema (CPFE) is a syndrome of combination pulmonary fibrosis and emphysema which is now widely found. Clinical characteristics of the CPFE are current or former heavy smoker, predominantly male, and symptom of shortness of breath on exertion. The standard diagnosis of CPFE is based on high resolution computed tomography (HRCT) with emphysema in the upper lung zone and fibrosis in the lower lung zone. The lung function profile in CPFE is different from patients with emphysema or pulmonary fibrosis alone. The lung volumes in CPFE is preserved, but there is significant reduction in lung diffusion capacity. CPFE has a poor prognosis. The presence of pulmonary hypertension in CPFE is a poor prognostic factor. Because there is no current standard treatment of CPFE, the focus of management is supportive therapy, management of complications, and management of exacerbation CPFE.
Social services as critical infrastructure – conceptualising and studying the operational core of the social investment state

‘Social investment’ as an idea to justify social policy reforms has become more and more accepted in recent years and has decisively shaped agenda setting and policy formulation in European welfare states. The effectiveness of this new welfare state model, however, depends highly on the capacity to provide social services. Social services – job training, counselling and support for care work – are a key component of the social investment model. Drawing on the policy capacity approach, the article provides an analytical framework to study the ‘operational core’ of the social investment state. This implementation perspective allows us to assess whether governance actors actually have the resources to fulfil the social investment idea of enhancing citizens’ freedom to act. Empirically, the article concentrates on two selected European welfare states, Germany and France, countries with similar welfare systems but very different politico-administrative systems, and on two fields of social service provision that are addressed differently in the social investment debate: early childhood education and care (ECEC) and elderly care. Empirically, we use systematic content analysis to intensively study policy documents and secondary analyses. We show that both countries (still) lack policy capacities in these two sectors as a basis for resilient implementation of the social investment paradigm.
The Effects of Student–Teacher Ethnoracial Matching on Exclusionary Discipline for Asian American, Black, and Latinx Students: Evidence From New York City

Although Black and Latinx students disproportionately face exclusionary school discipline, prior research finds that the likelihood of suspension for Black students decreases when they are taught by greater proportions of Black teachers. Little prior work, however, has examined whether these effects generalize to large, diverse, urban school districts or to Asian American or Latinx students and teachers. Using student fixed-effects models and 10 years of data from New York City, we find that assignment to greater proportions of ethnoracially matched teachers decreases the likelihood of suspension for Black and Latinx students. The magnitudes of these effects are small but suggest that diversifying the teacher workforce could lead to significant decreases in exclusionary discipline in urban districts.
Study on lift enhancement of a flapping rotary wing by a bore-hole design

A novel design of a micro air vehicle with flapping rotary wings was recently proposed. In this paper, the investigation is focused on aerodynamic enhancement of a bore-hole and an elastic cover added onto an intact flapping rotary wing. The aerodynamic force and the pitching motion of the perforated wing are both acquired in experiments. In comparison with an intact wing, a typical perforated wing shows a significant decrement in negative lift and thus a higher mean lift. As a supporting process, the computational fluid dynamics method is then employed to analyze the flow around the wing and the hole, and thereby make clear the underlying physical mechanism. It is found the hole opens due to the cover deflection in a passive manner and produces a secondary starting vortex on the wing lower surface of the cover during upstrokes. Together with the tip vortex around the lateral edges of the cover, the resulting vortex significantly reduces the magnitude of the negative lift, and thus explains the mean-lift enhancement in a flapping cycle. Additionally, the mean-lift enhancement correlates with the geometric parameters of the hole. An increment up to 40% in maximum mean lift is identified for a perforated wing in comparison with an intact wing. These results indicate that a bore-hole design could be a promising approach to enhance the aerodynamic lift of a flapping rotary wing.