Miracle-dz/UniFAR-FTUs huggingface dataset:
Associations Between Personality Functioning, Childhood Trauma and Non-adherence in Cardiovascular Disease: A Psychodynamically-Informed Cross-Sectional Study

Objective Although treatment adherence and lifestyle changes significantly improve the prognosis of cardiovascular disease, many patients do not comply with clinician recommendations. Personality functioning appears to be of importance and is hypothesized to be superior to symptom-based measures in explaining individual differences in non-adherence. Methods 194 cardiology inpatients (mean age = 70.6 years, 60% male) were assessed using self-report measures in a cross-sectional design. Patients were assessed using the short version of the Operationalized Psychodynamic Diagnosis Structure Questionnaire (OPD-SQS) to measure personality functioning, as well as the Childhood Trauma Screener (CTS), the Patient Health Questionnaire (PHQ-9) for symptoms of depression, and the Generalized Anxiety Disorder Scale-7 (GAD-7). To assess non-adherence we introduced a brief, novel scale. Results Non-adherence correlated significant with personality functioning (r = 0.325), childhood trauma (r = 0.204) and depressiveness (r = 0.225). In a stepwise multiple regression analysis with socio-demographic variables inputted into the model, higher deficits in personality functioning, higher levels of childhood trauma, and male gender were associated with non-adherence (adjusted R2 = 0.149, F(3,190) = 12.225, p < 0.01). Level of depressive symptoms, anxiety, age, education, and income showed no significant additional predictive value and were excluded from the model. Conclusion In cardiovascular disease, personality functioning, childhood trauma and male gender are associated with non-adherence and appear to be more important than symptom reports of depression and anxiety. This highlights the relevance of basic impairments in intra- and interpersonal functioning in chronic disease, where the patient’s adherence is central.
Extraction, Isolation and Identification of Low Molecular Weight Peptides in Human Milk

Human milk contains numerous free low molecular weight peptides (LMWPs), which may play an important role in infant health and growth. The bioactivities of LMWPs are determined by their structures, especially the amino acid sequences. In the present study, 81 human milk samples were collected and purified by cation-exchange solid-phase extraction (SPE). Ultra-high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was used for the separation and detection of free LMWPs in human milk. A total of 56 LMWPs were identified and quantified. These LMWPs were mainly derived from 3 regions of β-casein, which were the amino acid fragments of 16–40, 85–110, and 205–226. The predominant LMWPs were RETIESLSSSEESITEYK, RETIESLSSSEESITEYKQKVEKVK, ETIESLSSSEESITEYK, TQPLAPVHNPIS, and QPLAPVHNPISV with molecular weights of 2247.9573, 2860.2437, 2091.8591, 1372.7666, and 1271.7212, respectively. The results indicated that the technique based on SPE and UPLC-QTOF-MS might greatly facilitate the analysis of LMWPs in human milk.
On the Particle Gibbs Sampler

The particle Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm which operates on the extended space of the auxiliary variables generated by an interacting particle system. In particular, it samples the discrete variables that determine the particle genealogy. We propose a coupling construction between two particle Gibbs updates from different starting points, which is such that the coupling probability may be made arbitrary large by taking the particle system large enough. A direct consequence of this result is the uniform ergodicity of the Particle Gibbs Markov kernel. We discuss several algorithmic variations of Particle Gibbs, either proposed in the literature or original. For some of these variants we are able to prove that they dominate the original algorithm in asymptotic efficiency as measured by the variance of the central limit theorem's limiting distribution. A detailed numerical study is provided to demonstrate the efficacy of Particle Gibbs and the proposed variants
Fabrication and characterisation of nanocrystalline graphite MEMS resonators using a geometric design to control buckling

The simulation, fabrication and characterisation of nanographite MEMS resonators is reported in this paper. The deposition of nanographite is achieved using plasma-enhanced chemical vapour deposition directly onto numerous substrates such as commercial silicon wafers. As a result, many of the reliability issues of devices based on transferred graphene are avoided. The fabrication of the resonators is presented along with a simple undercutting method to overcome buckling, by changing the effective stress of the structure from ~436 MPa compressive, to ~13 MPa tensile. The characterisation of the resonators using electrostatic actuation and laser Doppler vibrometry is reported, demonstrating resonator frequencies from 5–640 kHz and quality factor above 1819 in vacuum obtained.
Promoting wellbeing at university: the role of resilience for students of the built environment

Abstract Resilience is positively linked to academic engagement and achievement, and contributes to students’ mental health and wellbeing. Research was undertaken to measure the resilience of students undertaking studies in the built environment, identify the factors which contribute to high or low levels of student resilience and explore the relationship between resilience and wellbeing. Survey data were collected from 410 undergraduate students from Melbourne, Australia. Results identified that of the six components of resilience, students scored highest on building networks, staying healthy, interacting cooperatively and living authentically, and lowest in maintaining perspective. Experience, university policy and the interaction between the university, work and home environments was found to contribute to student resilience. Results also identified that resilience is an antecedent of student wellbeing. A conceptual model of resilience and student wellbeing is presented which draws on the ecological systems model. Universities can actively support student wellbeing by fostering resilience. Resilience can be developed by embedding resilience-building strategies within course structures, learning activities and assessment tasks. Universities can implement policies and procedures and offer assets and resources which create a learning environment that supports resilience-building behaviour.
Effect of High-Volume Training on Psychological State and Performance in Competitive Swimmers

This study aimed to examine the effect of four weeks of aquatic high-volume training (HVT) on the psychological state (somatic, cognitive anxiety, and self-confidence) and sprint swimming performance (50 m front crawl) compared to the standard training program (moderate volume training) in competitive swimmers. Twenty-eight male competitive swimmers participated in this study and were randomly allocated into two groups: HVT group (n = 14; age = 16.4 ± 0.31 years) and control group that underwent the standard training program (n = 14; age = 16.1 ± 0.30 years). All psychological state variables and swimming performance were measured in pre and post-test. Our findings showed a significant increase in anxiety state (34.13% to 45.83%; ES = 3.26 to 3.38) and a significant decrease in self-confidence (18.43%; ES = 2.39) after four weeks of HVT, while all psychological state variables remained unchanged in the control group (p > 0.05). In addition, our results showed no significant enhancement in swimming performance in both groups (p > 0.05). The sudden increase in training mileage negatively affected the anxiety, decreasing the state of self-confidence of the participants. In addition, four weeks of high training volume are insufficient to improve swimming performance. To conclude, gradually increasing the volume of the training load may be an adequate solution to promote adaptation to the effort, thus maintaining the stability of the psychological state of swimmers. In addition, it is recommended to integrate a concurrent mental preparation program with high-volume training to monitor the psychological state of competitive swimmers.
Linkage of Strong Intraseasonal Events of the East Asian Winter Monsoon to the Tropical Convections over the Western Pacific

The East Asian winter monsoon (EAWM) is the most important climate system for transporting Arctic cold air to the tropics in boreal winter. Rapid intensification of the EAWM, such as a cold surge, can lead to increased tropical convection over the western Pacific, but the possible effects from the intraseasonal variation of EAWM is unclear. Using high temporal and spatial resolution satellite data, including Outgoing Longwave Radiation (OLR) and Tropical Rainfall Measuring Mission (TRMM) precipitation, we show that strong intraseasonal EAWM events are associated with increased tropical convection over the western Pacific for about 6–8 days. Our statistical analysis shows that the lifetime of a strong intraseasonal EAWM event is about 2 weeks, with the beginning, peak, and ending phases occurring at days −6, 0, and 6, respectively. During days 0 to 8, increased convection is observed over the western tropical Pacific, due to the anomalous convergence associated with the strengthened northerly winds over the South China Sea. Over land, increased precipitation is observed over Vietnam, northwestern Kalimantan, and the southern Philippines. In addition, the East Asian local Hadley circulation is strengthened during these days, in association with the enhanced tropical convection.
Polymer-plastics technology and engineering

In 1996,210 million tons of municipal solid waste was generated in the United States. Fifty-seven million tons of this waste was recovered for recycling, 36 million tons was combusted primarily for energy recovery, and the rest (I 10 million tons) of the waste was landfilled. In 1996, plastics, rubbers, and textiles accounted for 20% by weight and 41% by volume of the total municipal solid waste. Six percent (2 million tons) of plastics, rubbers, and textiles were recovered for recycling in 1996.
B Lymphocytes Are a Predictive Marker of Eribulin Response and Overall Survival in Locally Advanced or Metastatic Breast Cancer: A Multicenter, Two-Cohort, Non-Randomized, Open-Label, Retrospective Study

Triple-negative breast cancer has no specific treatment and unfavorable prognosis. Eribulin is one of the drugs widely used in this cohort of patients. In addition to its antimitotic effect, eribulin has an immunomodulant effect on the tumor microenvironment. In this study, we discover immunological markers, such as tumor-infiltrating lymphocytes, CD8+, CD4+, FoxP3+, CD20+ lymphocytes, and their PD1 positivity or negativity, with the ability to predict benefits from eribulin within locally advanced or metastatic triple-negative breast cancer. The primary objective was to explore the association of composition of immune cells in the microenvironment with response to eribulin. The key secondary objective was overall survival. Seven-color multiplex immunofluorescence was used to phenotype lymphocytes in the primary tumor. It has been shown that the PD1-negative-to-PD1-positive B cells ratio in primary tumors more than 3 is an independent predictor of the short-term effectiveness of eribulin [OR (95%CI) 14.09 (1.29-153.35), p=0.0029] and worse overall survival [HR (95%CI) 11.25 (1.37-70.25), p=0.0009] in patients with locally advanced or metastatic triple-negative breast cancer.
Implementation and Testing of Digital Filters on STM32 Nucleo-64P

This paper aims to present two ways to design and implement numerical filters. The first is the classic or hand-coded method, which involves the implementation of a computational algorithm in C, while the second is automatically generated code. Both FIR and IIR filters are implemented and based on the results obtained, the differences between them discussed. We highlight the advantages and disadvantages of each method of implementation and the costs in terms of design time, memory, performance. Both implementation variants present satisfactory results and meet the required requirements, the choice of one of them depends on the application used and the programming experience.
Modeling of a Soft Actuator With a Semicircular Cross Section Under Gravity and External Load

Compared to rigid robotic actuators, soft actuators based on fiber-reinforced elastomeric actuators have great potential for use in exploring complex terrain, medical operations, and flexible capture of targets. However, it is still challenging to model the mechanical behavior of soft actuators because of the large deformation and nonlinear characteristics of elastic materials. This article proposes an analytical model to predict the shape of a soft actuator to better describe the relationship between its deformation and input pressure, gravity, and other external forces. We first derive the relationship between soft actuator deformation and pressure using volume maximization and the principle of virtual work. We further use Euler–Bernoulli beam theory to investigate the influence of self-gravity and external forces on the soft actuator configuration. The model is verified by fabricating a soft actuator prototype via mold casting. Finally, we perform a series of experiments to evaluate the accuracy of our proposed model. The longest total time to solve the model is 0.035 s. Experimental results show that the model's maximum error rate is between 2.89% and 9.75%. This indicates that the model can effectively predicts the deformation of soft actuators considering gravity and other external forces.
Estimation of High-Frequency Auditory Masking in Beluga Whales by Commercial Vessels in Cook Inlet, Alaska

Industrial development in Cook Inlet, Alaska, has raised concerns about the decline of the resident beluga whale (Delphinapterus leucas) population over the past decades. Anthropogenic noise sources, such as commercial vessels, can cause auditory masking of cetacean vocalizations used in communication, navigation, and foraging. This study includes a source-level spectrum of a containership, positioned in Cook Inlet within the primary shipping channel, and audiograms obtained from a live, stranded beluga calf in Cook Inlet, in sound transmission loss modeling. The model uses a hybrid parabolic equation/raytracing solution to determine underwater sound pressure levels. Whereas the communication band of belugas can be fully masked by ambient noise and underwater radiated noise from a containership positioned at 5,000 m, the echolocation band (for navigation) is only partially masked at shorter ranges (≤2,500 m). Increased multipath reflections from the propagation of underwater noise in the upslope direction contributes significantly to the attenuation of high frequencies and minimizes masking in the echolocation band of the beluga whale. To assess the complex task of auditory masking, critical ratios were used to determine the difference between the energy of a pure tone and the noise in the masking band. A successful strategy to reduce underwater radiated noise must consider the interactions and contributions of mitigation measures that have already been shown to be effective. The technical and economic profitability of these measures will largely depend on the design, operating parameters, and mandatory requirements for a particular vessel.
Impact of Industrially Affected Soil on Humans: A Soil-Human and Soil-Plant-Human Exposure Assessment

Heavy metal (HM) contaminated soil can affect human health via ingestion of foodstuffs, inhalation of soil dust, and skin contact of soil. This study estimates the level of some heavy metals in soils of industrial areas, and their exposures to human body via dietary intake of vegetables and other pathways. Mean concentrations of Cr, Fe, Cu, Zn, As and Pb in the studied soil were found to be 61.27, 27,274, 42.36, 9.77, 28.08 and 13.69 mg/kg, respectively, while in vegetables the respective values were 0.53, 119.59, 9.76, 7.14, 1.34 and 2.69 mg/kg. Multivariate statistical analysis revealed that Fe, Cu, Zn, and Pb originated from lithogenic sources, while Cr and As are derived from anthropogenic sources. A moderate enrichment was noted by Cr, As, and Pb in the entire sampling site, indicating a progressive depletion of soil quality. The bioaccumulation factor (BCF) value for all the vegetables was recorded as BCF < 1; however, the metal pollution index (MPI) stipulates moderately high value of heavy metal accumulation in the vegetable samples. Hazard Index (HI) of >0.1 was estimated for adults but >1 for children by direct soil exposure, whereas HI < 1 for both children and adults via dietary intake of vegetables. Estimated Total carcinogenic risk (TCR) value due to soil exposure showed safe for adults but unsafe for children, while both the population groups were found to be safe via food consumption. Children are found more vulnerable receptors than adults, and health risks (carcinogenic and non-carcinogenic) via direct soil exposure proved unsafe. Overall, this study can be used as a reference for similar types of studies to evaluate heavy metal contaminated soil impact on the population of Bangladesh and other countries as well.
Anomaly-Based Detection of Cyberattacks on Line Current Differential Relays

Currently, the architecture of Line Current Differential Relays (LCDRs) is designed to respond to internal faults on the protected line using local and remotely-communicated current measurements. However, this architecture cannot distinguish between real faults and cyber-induced attacks whose goal is to cause false tripping of the line protected by the LCDR. In this paper, we propose an Anomaly-Based Scheme (ABS) for detecting false-tripping attacks against LCDRs, in the form of relay attacks, replay attacks, general false-data-injection attacks, and time-synchronization attacks. The ABS employs the Isolation Forest algorithm, which is trained on features determined from local current measurements to confirm real faults and differentiate them from false-tripping attacks. No trip command will be issued unless the sensed fault is confirmed as a non-attack by the ABS. The performance of the proposed ABS is tested and validated using the IEEE 9-bus benchmark in PSCAD/EMTDC environment. Simulation results show that the proposed ABS: (i) can accurately detect different categories of cyberattacks, (ii) does not negatively impact the accuracy of the fault-detection function, and (iii) is robust to the change in the power system’s operating point.
Identifikasi Pola Laminasi Tempurung Kelapa

ABSTRAK Pengembangan pola laminasi tempurung kelapa telah banyak dilakukan oleh seniman, desainer, maupun pengrajin. Namun hasil kreasi tersebut tidak terdokumentasi dengan baik sehingga banyak yang hilang. Pemberian nama pada motif-motif yang dihasilkan pun belum dilakukan. Tujuan penelitian ini adalah untuk mengumpulkan berbagai hasil kreasi pola laminasi tempurung kelapa di Yogyakarta, serta melakukan identifikasi terhadap pola-pola tersebut. Metode yang digunakan yaitu pengumpulan data, observasi mendalam, dan identifikasi terhadap pola-pola yang ada. Hasil dari identifikasi tersebut mendapatkan 17 jenis pola laminasi tempurung kelapa yaitu: (1) Pecahan, (2) Pecahan Belang, (3) Kotak-Kotak, (4) Kotak Poleng, (5) Nata Bata, (6) Segitiga, (7) Anyaman, (8) Rajang Anyam, (9) Rajang Poleng, (10) Rajang Acak, (11) Rajang Pusaran, (12) Rajang Kawung, (13) Rajang Kipas, (14) Rajang Galaran Vertikal, (15) Rajang Galaran Horisontal, (16) Rajang Blarak, dan (17) Kancing. Kata kunci: identifikasi, motif, laminasi, tempurung kelapa ABSTRACT Development of lamination motif on coconut shell has been done by artists, designers, and craftsmen. However, the creation is not well documented so many motifs missing. Giving the name of the resulting motifs had not been done. The purpose of this study was to collect various creation of lamination motif on coconut shell in Yogyakarta, as well as the identification of those motifs. The method used is the collection of data, in-depth observation and identification of existing motifs. The results of this identification are: (1) Pecahan, (2) Pecahan Belang, (3) Kotak-Kotak, (4) Kotak Poleng, (5) Nata Bata, (6) Segitiga, (7) Anyaman, (8) Rajang Anyam, (9) Rajang Poleng, (10) Rajang Acak, (11) Rajang Pusaran, (12) Rajang Kawung, (13) Rajang Kipas, (14) Rajang Galaran Vertikal, (15) Rajang Galaran Horisontal, (16) Rajang Blarak, and (17) Kancing. Keywords: identification, motif, lamination, coconut shell
Staged authenticity and nostalgia of mining tourists in the Jiayang mining Geo-park of China

ABSTRACT In recent years many mining historical heritage sites with geological, mining, and esthetic curiosities alike have been transformed into tourist attractions. This study investigates the staged authenticity and types of nostalgia either as experiences or as motivators to influence revisit intention in the context of the Jiayang Mining Geopark in China, an exemplified transnational industrial heritage from European countries. Survey data collected from 280 Chinese mining tourists revealed that the transnational feature of the mining town, such as the Soviet and British architectures, either staged or portrayed, can be highly pursued by mining tourists. Types of nostalgic responses were identified, especially the historical one, regardless of their social and historical connection to the site. The staged authentic experiences and personal nostalgia possessed qualities of travel motivation but were somewhat limited in their motive potentials for revisit intention. The results acknowledge that the staged mining historical heritage in China plays multiple and self-reflexive roles to enrich authentic and nostalgic values throughout the trip, which can help evaluate marketing strategies from the tourist gaze.
Security Analysis of Vehicle Instrument Clusters by Automatic Fuzzing and Image Acquisition

Automatic testing and reverse engineering of in-vehicle components have become topics of significant interest as they allow industry professionals to get a better understanding of component behaviour and attack surfaces. In this work we pursue the automatic testing of in-vehicle instrument clusters. These devices may be subject to attacks that may mislead the driver regarding the current state of the car. Understanding the feasibility of such attacks requires the ability to determine the behaviour of the cluster in response to specific instructions received from the CAN bus. For this purpose we use fuzz testing and a camera in order to remove manual intervention and set room for automatic learning of the commands that can be sent to the cluster. This enables the automatic detection of the commands with little or no human intervention. We test our framework on three clusters from real world vehicles and determine in an automatic manner a sufficiently large number of commands and responses that they trigger.