Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Compassion and Adherence to Treatment in Patients with Cancer

Background: Emotional disorders and depression make cancer patients reluctant about adherence to their treatment. The present study was conducted to determine the relationship between self-compassion and adherence to treatment in cancer patients. Materials and Methods: This cross-sectional study was conducted on 214 patients with cancer in 2019. They were inpatients aged over 18 years. Two months had passed since their cancer was diagnosed, and they had undergone a course of chemotherapy. Data were collected using a personal details form, Neff's Self-Compassion Scale and the Modanloo Adherence to Treatment Questionnaire and were then analyzed using the mean, frequency, Pearson's correlation coefficient and linear regression analysis. Results: The mean (SD) total score of self-compassion was 80.07 (15.68), and the mean (SD) total score of adherence to treatment was 134.44 (38.37). Pearson's correlation coefficient showed a direct relationship between the total score of self-compassion and the total score of adherence to treatment (p < 0.05). The linear regression analysis showed that the score of suffering as a common humanity (β = 0.47, p ≤ 0.001) and the variable of education (β = 0.27, p ≤ 0.001) were significant predictors of the total score of adherence to treatment (R2 = 0.33). Conclusions: According to the results, suffering as a common humanity and education were significant predictors of adherence to treatment. Oncology nurses are therefore recommended to get further educated about self-compassion, so that they take this concept more seriously in providing patient care. Nurses should also educate the patients with low levels of education about the consequences of not adhering to their treatment.
State of the Art

While the socioeconomic status (SES)–psychological distress gradient is well-documented in the social science literature, less attention has been devoted to how this relationship varies within sociodemographic subgroups. I contribute to this small but growing literature by first examining the relationship between multiple dimensions of SES and two measures of psychological distress (depression and anxiety) among working-age African Americans. I then test whether three social mediators explain the SES–psychological distress relationship, and whether gendermodifies these associations and/or the social mediators that shape them. To address these aims, I analyze twowaves of population-representative data from theDetroit Neighborhood Health Study (N=685). Data were collected between 2008 and 2010 in the wake of the Great Recession. I utilize structural equation modeling with latent variables to assess these relationships, and test indirect and conditional effects to detect the presence of mediation and/or moderation, respectively. Findings revealed associations between higher total household income and lower levels of depression/anxiety, as well as unemployment and increased depression/anxiety among working-age African Americans. Furthermore, higher educational attainment was associated with reduced anxiety, but not depression, in this population. Gender moderated these findings such that unemployment was associated with higher levels of depression/anxiety among women but not men. I also found that trauma mediated the relationship between unemployment and depression/anxiety as well as educational attainment and anxiety. Gender, however, moderated the association between unemployment and depression/anxiety via traumatic events such that the relationship was stronger among women than men. Collectively, these findings contribute to our limited understanding of African Americans’ mental health and underscore the importance of how both socioeconomic forces and life course experiences with traumatic events contribute to poor mental health among this population.
S1759078720001580jra 826..832

A compact ultrawideband (UWB) antenna with reconfigurable triple band notch characteristics is proposed in this paper. The antenna consists of a coplanar waveguide-fed top-cut circular-shaped radiator with two etched C-shaped slots, a pair of split-ring resonators (SRRs) on the backside and four p-type intrinsic n-type (PIN) diodes integrated in the slots and SRRs. By controlling the current distribution in the slots and SRRs, the antenna can realize eight band notch states with independent switch ability, which allows UWB to coexist with 5G (3.3–4.4 GHz)/WiMAX (3.3–3.6 GHz), WLAN (5.15–5.825 GHz), and X-band (7.9–8.4 GHz) bands without interference. By utilizing a nested structure of C-shaped slots and SRRs on the backside, a compact size of 18 × 19.5 mm is achieved along with multimode triple band notch reconfigurability. The antenna covers a bandwidth of 3.1–10.6 GHz. A prototype is fabricated and tested. The simulated and experimental results are in good agreement.
Question Answering and Machine Reading Comprehension

Recent years have witnessed an increasing demand for conversational Question Answering (QA) agents that allow users to query a large-scale Knowledge Base (KB) or a document collection in natural language. The former is known as KB-QA agents and the latter text-QA agents. In the next section, we will follow the line of a review of KB -> symbolic approaches to KB-QA based on semantic parsing -> multi-step reasoning on KB -> review some KB-QA datasets developed recently.
From home to the film location site, from a film audience to a film tourist

A range of scholars in media studies suggest that film can enhance the awareness and appeal of the film locations because of its power of imagery (Macionis 2004; Beeton 2016; Riley and Van Doran 1992). Induced and motivated by film-related elements, audiences are no longer merely the recipients of film contents but also tourists who are going to visit the film-related sites. The journey of audiences visiting the film-related sites in person can be described as filmrelated tourism. In this paper, the basic characteristics of film-related tourism will be introduced, demonstrating audiences’ film journey to different types of film-related tourism sites, i.e., on-location film site and off-location film site (Beeton 2005). Then, it will use an off-location film tourism site Hengdian World Studios (HWS) in China as a case study to see audiences’ travel experience as film tourists at the destination. To illustrate the touristic experience, this paper is going to apply the ethnography research method to show my personal film tour from home to the film sites in HWS, and thus examine the process of identity change from film audience to film tourist in the physical movement from home to the film location sites. Finally, authenticity issues, such as staged authenticity and existential authenticity, in film tours will be discussed in order to better understand audiences’ on-site activities as well as the marketing strategies at the destination.
Hotfixing misuses of crypto APIs in Java programs

Cryptography (crypto) Application Programming Interfaces (APIs) are essential for application security, but are difficult to use. Therefore, developers often do not securely integrate those APIs into their code, leading to costly security vulnerabilities. While prior work helps developers detect and fix crypto API misuses during development through software patching, those solutions cannot be applied to a vulnerable system that is already running in production. To bridge this gap, we present Hotfixer, a tool that performs automatic crypto API misuse detection and hotfixing for enterprise Java programs at run time. Hotfixer automatically transforms software patches into hotfixes that are valid to apply to a running Java program without shutting down then resuming the execution environment. Hotfixer is built on top of the high performance Eclipse OpenJ9 Java Virtual Machine (JVM), as we aim to provide its applicability and availability in an enterprise environment. Compared to traditional software patching, Hotfixer hotfixes all misuses while preserving program semantics in 98% of those cases and inducing an overall median performance overhead of only 0.2%.
Adversarial Examples and Adversarial Training

Formally, we denote the classifier mapping image pixel vectors to a discrete label set as f : R → {1 · · · k}, the loss function measuring the gap between predicted label and ground-truth label as Jθ(xinput, lgt), where θ are model parameters. The original image from the dataset is denoted as x. An adversarial example x′ is obtained by applying perturbation η on x, i.e., x′ = x+ η. Each element of x and x′ is in the range of [0, 1]. Let l = f(x).
Commonsense Knowledge Completion

Knowledge graphs, especially commonsense knowledge graphs, often face the issue of sparsity, which prevents them from serving well the downstream tasks. Knowledge completion aims to address this issue by populating the knowledge graphs with newly predicted facts. Most of the works focus on encyclopedic knowledge graphs, in which the entities and relations space are well deﬁned. Only a few attention has been drawn to commonsense knowledge completion previously. The recent progress in language models again raises a surge interest in mining commonsense knowledge from these large-capacity models. In this note, we introduce several challenges in commonsense knowledge completion and how the traditional and recent methods (with language models) tackle these challenges
Molecular Characterization and Expression Analysis of Toll-like Receptor 9 Gene in Turbot, Scophthalmus Maximus

Toll-like receptors (TLRs) have emerged as key sensors of invading microbes by recognizing pathogen-associated molecular patterns and activating innate immune responses. TLR9 functions as a pattern-recognition receptor that recognizes unmethylated CpG motifs in bacterial and viral DNA. In this study, the full cDNA and genomic sequences of tlr9 in Scophthalmus maximus (smtlr9) were identified and characterized. The full-length cDNA of smtlr9 was of 3754 bp encoding a polypeptide of 1066 amino acid residues. The genome sequence of smtlr9 was composed of 4083 nucleotides, including three exons and two introns. The putative Smtlr9 protein was characterized by a signal peptide sequence, a leucine-rich repeat domain (LRD) containing 15 leucine-rich repeats (LRRs), a transmembrane region, and a Toll/interleukin-1 receptor (TIR) domain. The putative protein shows the highest sequence identity (36.0~73.6%) to human and fish TLR9s. Phylogenetic analysis grouped Smtlr9 with other teleost Tlr9s. The smtlr9 mRNA was constitutively expressed in all tissues examined, with the highest level in the head kidney and kidney. The smtlr9 transcription level was up-regulated by ODN2395 in the muscle, head kidney, spleen, and gills.
Analysis of the techniques for assessing the features of blast-induced fragmentation in an open pit quarry

The paper deals with the study of empirical models for the analysis of blasts-induced fragmentation. To verify the reliability of the method, the results obtained a priori through the application of the models are compared with the analyses of muck piles photos taken from a series of blasts in an open pit quarry, thanks to the Split-desktop software (Split Engineering, LLC, Tucson, USA). The study of the particle size distribution is very important when sizing an excavation site, as the average size of the pile must be compatible with the equipment used for clearing and conveyance, and with the first phase of the processing plant, i.e. primary crushing. After a description of the excavation technique in use at the quarry site, its main characteristics are outlined. The parameters used to create the empirical models refer to the geomechanical characteristics of the rock, the geometry of the blasts, the characteristics of the explosive and its interaction with the rock mass, paying attention to the correlation between initiation timing and induced fragmentation. A detailed description of some empirical models together with the Split-desktop software were therefore provided. Thanks to both data and photos of the muck-piles from the exploitation at the quarry, the particle size curves resulting from each model were compared with those obtained from the software. This allowed to validate the empirical method in a preliminary design phase.
Water usage for hygiene practices among Tanjong Malim, Perak community during Movement Control Order (MCO) due to Covid-19

Due to the Covid-19 pandemic, the Government of Malaysia, via the Ministry of Health and National Safety Council, has imposed the Movement Control Order (MCO). In that order, the Ministry of Health and National Safety Council has given best practices for personal hygiene during the outbreaks to ensure public health precaution among Malaysians. Thus, the objective of this study is to survey the personal hygiene practices among Tanjong Malim, Perak Community During Movement Control Order (MCO) Due to Covid-19. A survey technique with a set of questionnaires was used to collect the required data on 383 respondents. The data were collected using a cross-sectional descriptive study, and percentage were utilised to determine the level of association. The results show that most of Tanjong Malim community practice a good hand washing technique with a mean value of 4.36 and SD = 0.66. They are also practising good personal hygiene by taking a shower immediately after returning home from public places with a mean value of 4.05 and SD = 0.82. They also wash their clothes immediately after returning home from public places (mean value of 3.90, SD = 0.87). On the other hand, the practice of separating clothes during washing is also high, with a mean value of 3.95, SD = 0.93. The personal hygiene attitude, namely washing their hand before and after touching something inside and outside the house, is also high with a mean value of 4.55, SD = 0.7 and 4.67, SD = 0.5, respectively. It is found that, due to the Covid-19 pandemic crisis, most of the respondents wash their hands at least twice a day, with a majority of 5 to 7 times a day (51.2%), followed by twice to 4 times a day (21.1%) and more than ten times a day ( 9.9%). However, the practising shower for more than 15 minutes and more than three times per day was low, with a mean value of 2.44, SD = 1.32, and 2.48, SD = 0.98, respectively. Hopefully, the findings of this study can be used by authorities as a basis to craft new guidelines for hygienic practices during the virus pandemic outbreak.
Finite element for Richards’ equation in porous rocks

The interaction processes of water movement and environment have several aspects important to engineering and geology, which motivate a large amount of research all over the world. As computers with larger capacity become available and affordable, several simplifications used in the past have become meaningless, and nonlinear complex phenomena like unsaturated flow can be processed in affordable machines. The reduction of water flow capacity of filters and drains in embankments due to unsaturated zones, and the environmental problems of remediation of contaminated zones in porous rock masses at the vadose zone are examples of special problems in which advanced modeling should be applied to avoid misleading conclusions or dreadful consequences. The unsaturated flux can also be important in understanding the influence of humidity in the bowing phenomenon in calcitic marbles, since laboratory tests have shown different evolutions of this pathology in partially saturated samples and in completely wet or dry samples. Moreover, this formulation also has important application in building envelope modeling, like in evaporative roofs which enhance thermal comfort in hot weather. To increase the understanding of unsaturated problems, this paper presents a finite element formulation for applications in unsaturated flow in stiff porous media, like sedimentary rocks or concrete. The formulation is based on Richards’ equation for one-dimensional flows and it includes a linear interpolation of suction, as well as an arbitrary implicit parameter.
Rock mass performance monitoring with topology preserving quantised vector spaces

This work explains the development of a so-called rock mass system performance map, that provides a backdrop to assist in performance interpretation. The rock mass system performance maps presented in this paper are 2D graphical devices prepared using Sammon mappings, Learning Vector Quantisation, Self-Organising Topological Maps and combinations of these mathematical techniques. Using supervised or unsupervised learning methods, these algorithms project and partition high-dimensional vector spaces, of a dimension equal to the number of environmental and rock mass condition parameters considered, into 2D categories of rock mass condition. In providing 2D renderings, the techniques aim to preserve properties of the characterising vector space such as adjacency of states and topology. The condition of a rock mass can be ‘plotted’ on that map by identifying its k-nearest neighbours and interpreted relative to stability metric categories. Should the defining vector space include rock mass properties or environmental parameters that are repeatedly measured, or possibly continuously monitored, then the rock mass condition marker traces out a performance trajectory across the performance map. An example of rock mass performance map synthesis and use is presented.
Climbers diversity in Agro Techno Park, Universiti Malaysia Kelantan, Jeli Campus

Species diversity of climbers were inventoried in four nature trails of Agro Techno Park Universiti Malaysia Kelantan (UMK), Jeli campus. The purpose of this study was to determine the diversity, composition and abundances of climbers in Agro Techno Park Universiti Malaysia Kelantan, Jeli Campus. Samples of the climbers were randomly collected from four natural trails for herbarium preparation and preserved using 70% ethanol solution. The preservation was done by putting the samples in zip lock transparent bag that contained of 70% ethanol solution. The samples were oven-dried at 30-40 °C, mounted and labelled before identification. The diversity pattern of the climbers was analyzed by using Shannon Diversity Index, Shannon Evenness Index, Margalef Richness Index, Abundance Parameters and Importance Value Index (IVI). A total of 593 climbers belonging to 35 species were recorded. Family Fabaceae was the most diverse plant from the climbers’ family which consisted of 4 genera and 5 species. This was followed by family Menispermaceae, Melastomataceae, Connaraceae, Apocynaceae, Rubiaceae and Vitaceae. The result obtained indicated that alteration of the ecological environment through natural disturbances influenced the abundance and distribution of climbers.
D OMAIN A DAPTATION WITH D EEP N EURAL N ETWORKS : A G ENTLE I NTRODUCTION

Domain adaptation is an essential problem in transfer learning, focusing on how to exploit labeled data in familiar domains/tasks for a new target one of interest where supervision is limited. Recent advances in deep learning research have shown that neural networks are highly transferable across domains and tasks, with speciﬁc techniques and training strategies. In this gentle introduction, we ﬁrst formally introduce domain adaptation in the broader context of transfer learning, revisit a few classic methods in conventional machine learning, and ﬁnally introduce some state-of-the-art works on neural domain adaptation (most are based on adversarial training). We conclude this paper with a discussion on current research in natural language processing (NLP) applications and future directions
Catalytic upgrading of biomass through the hydrodeoxygenation (HDO) of bio-oil derived model compounds

Lignocellulosic biomass is an attractive renewable source for fuels and chemicals. Of the many conversion alternatives, catalytic fast pyrolysis has emerged as an attractive technology to convert biomass into fuel additives and value-added chemicals. Current pyrolysis oils or bio-oils are incompatible with refinery streams due to their high acid, water, and water content. The key roadblock in its commercial exploitation is development of catalytic platforms for selective deoxygenation along with minimum hydrogen consumption and carbon loss. Current catalytic solutions including zeolites, and conventional hydrotreating catalysts employ high hydrogen pressures, leading to aromatic ring hydrogenation, and hydrogen consumption. This thesis focusses on developing fundamental catalytic understanding on cheaper and earth-abundant reducible transition metal oxide catalysts for selective hydrodeoxygenation (HDO) of bio-oil derived model compounds using reactivity, computation and characterization studies.
PLAM: A Posit Logarithm-Approximate Multiplier

The Posit™ Number System was introduced in 2017 as a replacement for floating-point numbers. Since then, the community has explored its application in several areas, such as deep learning, and produced some unit designs which are still far from being competitive with their floating-point counterparts. This article proposes a Posit Logarithm-Approximate Multiplication (PLAM) scheme to significantly reduce the complexity of posit multipliers, one of the most power-hungry arithmetic units. The impact of this approach is evaluated in deep neural network inference, where there are no significant accuracy drops. Compared with state-of-the-art posit multipliers, experiments show that the proposed technique reduces the area, power, and delay of 32-bit hardware multipliers up to 72.86%, 81.79%, and 17.01%, respectively.
Vacuum frying of fish tofu and effect on oil quality usage life

Atmospheric frying (165 °C) and vacuum frying (120 °C at 21 kPa) conditions for the processing of fish tofu made from surimi were compared. The application of vacuum frying showed that it could be used to reduce the final oil content of the fish tofu. A high atmospheric frying temperature caused a high rate of increase of temperature toward the center of fried fish tofu and caused microstructure destruction. It could be a concern that changes to the moisture content was obstructed after 60 s. On the other hand, surface collapsing caused an increase of oil uptake because of adsorption into the damaged areas. The result could be due to a change in the structure that affected the oil adsorption of the fish tofu being fried. High temperature and oxidation caused dark coloration and affected the chemical properties of the frying oil. The b*, and ΔE values increased and a yellowing of the oil was observed as the number of frying batches increased. The PV and TBA indicated a high deterioration in the atmospheric frying oil quality. In contrast, the vacuum frying condition helped preserve the frying oil quality, while the light color of the product was maintained. The results supported the use of the vacuum frying process as a method for frying high quality fish tofu and conserving the quality of oil in the fish tofu. Practical applications The objective of this study was to evaluate the influence of vacuum frying on oil degradation when frying fish tofu made from surimi, or fish meats pastes. There are extensive reports on the benefits due to the vacuum frying process but until now it has not been reported how the vacuum frying process influences oil degradation of value-added surimi. Thailand is one of the largest producers of surimi and fish tofu is one of the most popular export products. The process of frying under vacuum may be an alternative to replace the atmospheric frying of fish tofu and may result in long lifetime of frying oil. This study is a development together with entrepreneur to evaluate the benefits arising from the use of the vacuum frying process for the instant food from surimi. The result of the present study shows that a reduction in color and changes in oil quality factors were observed for the vacuum frying using the raw materials directly from the industry. The results of this study are beneficial for development into a test in large scale in the future. The quality of fish tofu improved using the new frying technique under vacuum and vacuum frying is an alternative frying method for conserving the quality of cooking oil.