Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Parent–Child Attachment, Belief in a Just World, School Climate and Cyberbullying: A Moderated Mediation

The present study investigated the relationship between parental attachment and cyberbullying, with the just world belief of the mediator and school climate being the moderator. We collected survey data from 750 middle school students and analyzed the data through mediation and moderation models. The results indicated that after controlling for gender and age, parent–child attachment was negatively related to cyberbullying, with a just world belief significantly mediating this relationship. What is more, school climate moderated the second half of this relationship, as we predicted. We offered possible reasons for the results. Limitations and direction for future studies were discussed.
The Effect of Exercise and Nutritional Interventions on Body Composition in Patients with Advanced or Metastatic Cancer: A Systematic Review

Advanced and metastatic cancers significantly alter body composition, leading to decreased lean mass and variable effects on fat mass. These effects on body composition are associated with significant physical dysfunction and poor prognosis in patients with cancer. Whilst exercise and nutritional interventions are likely to be of benefit in counteracting these effects, relatively little is known about using such interventions in patients with advanced or metastatic cancer. Therefore, in this systematic review we examine the effect of exercise and combined exercise and nutritional interventions on lean mass and fat mass among patients diagnosed with advanced or metastatic cancer. Following PRISMA guidelines, we identified 20 articles from PubMed, EMBASE, CINAHL, Cochrane CENTRAL, PEDro, SPORTDiscus, and REHABDATA. Overall, advanced or metastatic cancer populations comprising of mixed cancer types were most commonly examined (n = 8) with exercise or combined exercise and nutritional interventions being well-tolerated with few adverse effects. Both intervention approaches may preserve lean mass, while only combined interventions may lead to alterations in fat mass. However, further exercise and nutritional studies are needed to definitively understand their effects on body composition. As exercise and nutrition-related research continues in this understudied population, the knowledge gained will help guide supportive clinical treatments.
Insulin Resistance in Gestational Diabetes Mellitus and Its Association With Anthropometric Fetal Indices

Background: In pregnant women with gestational diabetes mellitus (GDM), insulin resistance (IR) increases the risk of developing manifest type 2 diabetes mellitus and is associated with complications in both mother and fetus. Objectives: This research aimed to evaluate the associations between IR evaluated by 3 indices (namely updated homeostasis model assessment model (HOMA2), QUICKI, and McAuley’s index) and the diabetes risk factors and the fetal growth indices in Vietnamese women with GDM. Methods: A cross-sectional descriptive study was conducted on 370 women with GDM and 40 healthy pregnant women from January 2015 to May 2019. IR was calculated by HOMA2 (HOMA2-IR), QUICKI, and McAuley’s index. Fetal anthropometric measurements were assessed via ultrasound which was performed and interpreted by ultrasound experts. Results: In the simple regression analysis, McAuley’s index illustrated had statistically significant correlations to the highest number of risk factors of diabetes mellitus compared with HOMA2-IR and QUICKI indices. Moreover, McAuley’s index correlated statistically significantly to the highest number of fetal ultrasound measurements factors such as including biparietal diameter (BPD) (r = −0.271, P < .001), head circumference (HC) (r = −0.225, P < .001), abdominal circumference (AC) (r = −0.214, P < .001), femur length (FL) (r = −0.231, P < .001), estimated fetal weight (EFW) (r = −0.239, P < .001) and fetal estimated age (r = −0.299, P < .001). In the multivariable analysis, the McAuley’s index contributed the greatest to AC (Standardized B of −0.656, P < .001). Conclusion: The McAuley’s index was significantly associated with a higher number of more risk factors for diabetes mellitus as well as fetal ultrasound sonography findings measurements than compared with HOMA2-IR and QUICKI indices.
Navigation and control for assistive robotics

In this thesis, we address the problem of navigation and control for assistive robots. Autonomously creating a suitable representation of the environment (a map) and having the ability to localise a robot in that environment are considered to be the cornerstones of autonomous robot navigation. We present a distance function based framework to represent the occupancy of two-dimensional environments and a chamfer distance based sensor model to relate measurements captured from a sensor mounted on the robot to the environment representation. Employing the proposed representation and the sensor model, we propose two novel strategies to localise the robot on the map using an extended Kalman filter and an optimisation based method. These methods are computationally more efficient and are free of environment dependent tuning, which are necessities for assistive robots to operate in different environments ranging from small households to large shopping centres. We also demonstrate an adaptation of the popular particle filter based localisation algorithm using the distance function representation. A mapping algorithm that utilises the proposed distance function based framework, which can be used to create maps of considerably large scale crowded indoor environments with low error accumulation is also presented. Although we do not consider the effect of sensor uncertainties, we demonstrate that the algorithm can efficiently build high-quality maps that can be used in practical scenarios of importance associated with assistive robots.
Efficient All-Polymer Solar Cells with Sequentially Processed Active Layers

In this work, we apply the sequential processing (SqP) method to address the relatively low electron mobility in recent all-polymer solar cells (all-PSCs) based on the polymerized small-molecule acceptor (PSMA). Compared to the blend-casting (BC) method, all-PSCs composed of PM6/PY-IT via the SqP method show boosted electron mobility and a more balanced charge carrier transport, which increases the FF of the SqP device and compensates for the short-circuit current loss, rendering comparable overall performance with the BC device. Through film-depth-dependent light absorption spectroscopy, we analyze the sub-layer absorption and exciton generation rate in the vertical direction of the device, and discuss the effect of the increased electron mobility on device performance, accordingly.
Chaotically Enhanced Meta-Heuristic Algorithms for Optimal Design of Truss Structures with Frequency Constraints

The natural frequencies of any structure contain useful information about the dynamic behavior of that structure, and by controlling these frequencies, the destructive effects of dynamic loads, including the resonance phenomenon, can be minimized. Truss optimization by applying dynamic constraints has been widely welcomed by researchers in recent decades and has been presented as a challenging topic. The main reason for this choice is quick access to dynamic information by examining natural frequencies. Also, frequency constraint relations are highly nonlinear and non-convex and have implicit variables, so using mathematical and derivative methods will be very difficult and time consuming. In this regard, the use of meta-heuristic algorithms in truss weight optimization with frequency constraints has good results, but with the introduction of form variables, these algorithms trap at local optima. In this research, by applying chaos map in meta-heuristic algorithms, suitable conditions have been provided to escape from local optima and access to global optimums. These algorithms include Chaotic Cyclical Parthenogenesis Algorithms (CCPA), Chaotic Biogeography-Based Optimization (CBBO), Chaotic Teaching-Learning-Based Optimization (CTLBO) and Chaotic Particle Swarm Optimization (CPSO), respectively. Also, by using different scenarios, a good balance has been achieved between the exploration and exploitation of the algorithms.
Minimising total cost for training and assigning multiskilled workers in seru production systems

This paper investigates the multiskilled worker training and assignment (MWT&A) problem of the seru production system (SPS), which is a new type of assembly line configured as multiple assembly cells, or so-called serus. The configuration of the SPS emphasises production efficiency and flexibility, achieved by multiskilled workers (MWs) able to cope with the demand of high-variety and low-volume manufacturing. Well-arranged and trained MWs are viewed as a critical factor when it comes to enhancing the performance of SPSs. This paper studies the MWT&A problem in the SPS with the aim of minimising the total cost, specifically, the workers’ training cost and the balance cost of processing times of the MWs in serus. This study provides an applicable mathematical programming model and designs a two-phase heuristic, named the SAIG algorithm, to effectively and efficiently solve this problem. The performance of the proposed algorithm is demonstrated by a comparison with the state-of-the-art heuristic through a series of computational experiments.
What Comes after the Trial? An Observational Study of the Real-World Uptake of an E-Mental Health Intervention by General Practitioners to Reduce Depressive Symptoms in Their Patients

Unguided and free e-mental health platforms can offer a viable treatment and self-help option for depression. This study aims to investigate, from a public health perspective, the real-world uptake, benefits, barriers, and implementation support needed by general practitioners (GPs). The study presents data from a spin-off GP survey conducted 2.5 years subsequent to a cluster-randomized trial. A total of N = 68 GPs (intervention group (IG) GPs = 38, control group (CG) GPs = 30) participated in the survey (response rate 62.4%). Data were collected via postal questionnaires. Overall, 66.2% of the GPs were female. The average age was 51.6 years (SD = 9.4), and 48.5% of the GPs indicated that they continued (IG) or started recommending (CG) the e-mental health intervention under real-world conditions beyond the trial. A number of benefits could be identified, such as ease of integration and strengthening patient activation in disease management. Future implementation support should include providing appealing informational materials and including explainer videos. Workshops, conferences, and professional journals were identified as suitable for dissemination. Social media approaches were less appealing. Measures should be taken to make it easier for health care professionals to use an intervention after the trial and to integrate it into everyday practice.
Silica hollow-core anti-resonant fiber for harsh environment mid-infrared sensing applications

Mid-infrared absorption spectroscopy is nowadays considered as a routine analysis and sensing tool providing highly discriminatory information on organic and inorganic molecules. The specific needs of the transport, aerospace or energy industries may involve applications for which the spectroscopic sensor has to withstand high temperatures. This paper reports the design and fabrication of a silica hollow-core anti-resonant fiber with 8 non touching capillaries primarily designed for mid-infrared COx sensing inside engines. Numerical and analytical simulations performed to ensure fiber transparency in the 4-5 µm region are reported. Optical transmission between 3.9 µm and 4.7 µm is observed and demonstrate attenuation below 1 dB/m for single capillary ring fibers in this range. A preliminary scheme for CO2 sensing using a quantum cascade laser operating in one of the fiber’s transmission windows (λ=4.3 µm) is depicted.
PAKISTAN REQUIRES MODERN TECHNIQUES AND PROPER MANAGEMENT TO BOOST UP ITS AGRICULTURE AS COMPARED TO CHINA

In-addition to classical breeding, high throughput techniques for DNA and RNA quantification are also the demand of time in order to boost up agriculture in places like Pakistan. In the modern world, usage of high throughout techniques is very common to flourish agriculture sector. As in China, during the past five decades rice production has been increased three times more; credit goes to the increased grain yield but not to the planted area. In fact, the agriculture sector cannot be drive properly in any state unless the solutions are found for elementary issues of management. Here, in this review article, we have not tried to co-relate the performance of agriculture sector between two countries only but explained briefly the basic hurdles of management that are destroying the crop yield and their management in the agriculture sector of Pakistan as compared to China. On the other hand, with respect to current advances in the plant science, as the sequences of many plant genomes have been released and a huge array of molecular markers exists for crops. Meanwhile, the power of genomics for practical breeding is one of the best tools of recent years. We suggest that a sustainable increase in crop production is attainable in Pakistan through the adaptation of these modern techniques including; genome-wide association (GWA) studies and emerging RNA sequencing (RNA-Seq) for the basic research.
The Mechanism, Progress, and Potential Problems behind Different Types of COVID-19 Vaccines

: Ever since the smallpox vaccine was invented in 1976, vaccination has been a prominent way of helping humans against viruses. The killed or weakened version of the virus inside the vaccine will be recognized by the immune system inside the human body as foreign. In response, it creates memory cells and antibodies to protect humans against future infection. The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses enormous threats to not only public health but also economic development globally and calls for effective cure. Miracle drugs for the COVID-19 have not been launched in large quantities. Under this circumstance, recovery is expected if there is no delay in developing vaccines against this fatal infectious disease. This article provides an overview of the different types of vaccines available and why they are so important for patients with COVID-19. Nevertheless, the vaccine is still in the clinical stage, and scientists cannot predict its after-effects or assess its resistance to the latest variants. When it comes to minimizing the negative impacts of the COVID-19 outbreak, there is no replacement for the role that immunizations play.
Optical Design and Numerical Modeling of the AEI 10m Prototype sub-SQL Interferometer

The core experiment that is planned to be realized in the scope of the AEI 10 m Prototype project is an interferometer which aims for reaching a mirror displacement sensitivity in the audio frequency band at the Standard Quantum Limit (SQL) for its 100 g test masses. After reaching this goal, the experiment is planned to serve as a testbed for advanced interferometry techniques which will enable measurements even below the SQL. The investigation and further development of these techniques is crucial to achieve the planned sensitivity improvements in future GW detectors, to further increase the scientific potential of these instruments from the astrophysical and cosmological point of view. A necessary prerequisite for reaching the SQL is a sufficiently small influence of classical noise sources on the sensitivity of the interferometer. In particular, the reduction of Brownian thermal noise in the dielectric coatings of the mirrors is of central importance. In a conceptual design study for the planned experiment, possible, but very challenging and so far untested approaches to realizing an interferometer with sufficiently low coating thermal noise were delineated. This work is focused on an in-depth investigation of the techniques proposed in the conceptual design for the reduction of coating Brownian thermal noise as well as on the formulation of a technical design for a practical implementation of the experiment. Moreover, within the scope of this work, an optical layout for the interferometer was developed which allows to stepwise approach the targeted configuration with extremely large beam spots on the interferometer mirrors, which give rise to marginal stability of the arm cavities. Implications of marginally stable arm cavities on the performance of the interferometer were studied with the aid of numerical models, and requirements for the quality of the interferometer optics’ surfaces were derived. Furthermore, in this thesis, the “single arm test” experiment is introduced which was proposed as a stepping-stone toward the implementation of the sub-SQL interferometer. This experiment was designed to investigate essential technological aspects of the sub-SQL interferometer and will therefore provide crucial input on the way toward the world’s first sub-SQL measurement at audio band frequencies. At the time of writing, this experiment is being set up, making optimal use of the technical infrastructure in the prototype which is already installed and operational. In addition to these aspects, in the scope of this thesis, the squeezed-light laser for the GEO 600 gravitational wave detector was interfaced to a digital control system and fully automated operation of the experiment was realized. This enabled the long-term stable injection of squeezed vacuum states of light into the GEO interferometer and the associated continuous enhancement of the shot noise-limited sensitivity of the instrument. Key words: Optical design, Standard Quantum Limit, Coating Brownian thermal noise
CUSTOMER RELATIONSHIP MANAGEMENT (CRM) IN ACADEMIC LIBRARIES: PERCEPTION AND REALITY

In this digital era academic libraries are already facing their greatest challenges and difficulties with multiple communication channels. For more than a decade, academic libraries have been under the pressure to change its way of operation and management due to constraint of budget and the appearance of online resources. These situations cause the libraries to value their development of resource and the application of library marketing to better service. How to retain and increase users through enhancement of service becomes the great concern of library managers/ librarians. Customer Relationship Management (CRM) is not a tactical or functional approach but a key strategic process. A comprehensive CRM is highlighted with its pillars, characteristics, basic principles, initiatives in libraries, library service, significance, model and 4S, and user satisfaction through evaluating academic libraries in this study.
Mediating EGFR-TKI Resistance by VEGF/VEGFR Autocrine Pathway in Non-Small Cell Lung Cancer

Simple Summary Non-small cell lung cancer (NSCLC) patients acquire resistance to tyrosine kinase inhibitors (TKIs) via EGFR mutations or overexpression of vascular endothelial growth factor receptor-2 (VEGFR-2). In this study, we elucidated the mechanism of EGFR-TKI resistance mediated by VEGF/VEGFR in EGFR-mutated NSCLC cell lines and Erlotinib-resistant cell lines as compared to parental cell lines. Increased expression of VEGF, VEGFR-2, and NP1 was observed in Erlotinib-resistant cell lines. Furthermore, we observed an increased efficacy of Erlotinib in combination with a VEGFR-2 inhibitor in Erlotinib-resistant cell lines. Late-stage NSCLC patients with high expression of VEGFR-2 had shorter survival times compared to patients with low VEGFR-2 expression. These results indicate that VEGFR-2 may play a key role in EGFR-TKI resistance that can be overcome with a combination treatment of Erlotinib and a VEGFR-2 inhibitor, which may serve as an effective treatment option for NSCLC patients with EGFR mutations. Abstract NSCLC treatment includes targeting of EGFR with tyrosine kinase inhibitors (TKIs) such as Erlotinib; however, resistance to TKIs is commonly acquired through T790M EGFR mutations or overexpression of vascular endothelial growth factor receptor-2 (VEGFR-2). We investigated the mechanisms of EGFR-TKI resistance in NSCLC cell lines with EGFR mutations or acquired resistance to Erlotinib. These studies showed upregulated gene and protein expression of VEGF, VEGFR-2, and a VEGF co-receptor neuropilin-1 (NP-1) in Erlotinib-resistant (1.4–5.3-fold) and EGFR double-mutant (L858R and T790M; 4.1–8.3-fold) NSCLC cells compared to parental and EGFR single-mutant (L858R) NSCLC cell lines, respectively. Immunofluorescence and FACS analysis revealed increased expression of VEGFR-2 and NP-1 in EGFR-TKI-resistant cell lines compared to TKI-sensitive cell lines. Cell proliferation assays showed that treatment with a VEGFR-2 inhibitor combined with Erlotinib lowered cell survival in EGFR double-mutant NSCLC cells to 9% compared to 72% after treatment with Erlotinib alone. Furthermore, Kaplan–Meier analysis revealed shorter median survival in late-stage NSCLC patients with high vs. low VEGFR-2 expression (14 mos vs. 21 mos). The results indicate that VEGFR-2 may play a key role in EGFR-TKI resistance and that combined treatment of Erlotinib with a VEGFR-2 inhibitor may serve as an effective therapy in NSCLC patients with EGFR mutations.
Decision Support System to Analyze the Cause of Special Equipment Accident

The development and application of Decision Support System (DSS) promote the development of related industries, special equipment accident analysis also need the support of decision support system due to variety kinds of special equipment and changeable accident cause. It was expounded definition, development situation, classification, arithmetic and existing problems of DSS according to the characteristics of special equipment accidents analysis. Research shows that there are both difference and relation among five kinds of DSS. It introduces Bayesian network and the difference of Bayesian network modeling method. The reasoning modeling method based on knowledge could use both the empirical knowledge of experts and the computer aided technology, but it is limited by the quantity and quality of expert experience knowledge similar to artificial modeling method based on expert. The application of big data, cloud computing and other related technologies in DSS would stimulate the development of DSS. It provided the technology accumulation for exploitation and application of special equipment accident analysis DSS.
Numerical Study of the Thermal Performance of a Mems Pressure Sensor with Self-Calibration Capabilities

Recent industry trends toward more complex and interconnected systems have increased the demand for more reliable pressure sensors. By integrating a microactuator with a pressure sensor, the sensor can self-calibrate, eliminating the complexities and costs associated with traditional sensor calibration methods to ensure reliability. The present work is focused on furthering understanding and improving the thermal performance of a thermopneumatic actuated self-calibrating pressure sensor. A transient numerical model was developed in ANSYS and was calibrated using experimental testing data. The numerical model provided insights into the sensor’s performance not previously observed in experimental testing. Furthermore, the model was utilized for two design studies. First, it was found that a substrate with low thermal conductivity and high thermal diffusivity is ideal for both the sensor’s efficiency and a faster transient response time. The second design study showed that decreasing the size of the sealed reference cavity lowers power consumption and transient response time. The study also showed that reducing the cavity base dimension has a greater effect on lowering power consumption and response time. Overall, the present work increases understanding of the self-calibrating pressure sensor and provides insight into potential design improvements, moving closer to optimized self-calibrating pressure sensors.