Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Variability of Software Engineering Needs for Deep Learning: Stages, Trends, and Application Types

The wide use of Deep learning (DL) has not been followed by the corresponding advances in software engineering (SE) for DL. Research shows that developers writing DL software have specific development stages (i.e., SE4DL stages) and face new DL-specific problems. Despite substantial research, it is unclear how DL developers’ SE needs for DL vary over stages, application types, or if they change over time. To help focus research and development efforts on DL-development challenges, we analyze 92,830 Stack Overflow (SO) questions and 227,756 READMEs of public repositories related to DL. Latent Dirichlet Allocation (LDA) reveals 27 topics for the SO questions where 19 (70.4%) topics mainly relate to a single SE4DL stage, and eight topics span multiple stages. Most questions concern <italic>Data Preparation</italic> and <italic>Model Setup</italic> stages. The relative rates of questions for 11 topics have increased, for eight topics decreased over time. Questions for the former 11 topics had a lower percentage of accepting an answer than the remaining questions. LDA on README files reveals 16 distinct application types for the 227k repositories. We apply the LDA model fitted on READMEs to the 92,830 SO questions and find that 27% of the questions are related to the 16 DL application types. The most asked question topic varies across application types, with half primarily relating to the second and third stages. Specifically, developers ask the most questions about topics primarily relating to <italic>Data Preparation</italic> (2nd) stage for four mature application types such as <inline-formula><tex-math notation="LaTeX">${{\sf Image\ Segmentation}}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant="sans-serif">Image</mml:mi><mml:mspace width="4pt"/><mml:mi mathvariant="sans-serif">Segmentation</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="zhou-ieq1-3163576.gif"/></alternatives></inline-formula>, and topics primarily relating to <italic>Model Setup</italic> (3rd) stage for four application types concerning emerging methods such as <inline-formula><tex-math notation="LaTeX">${{\sf Transfer\ Learning}}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant="sans-serif">Transfer</mml:mi><mml:mspace width="4pt"/><mml:mi mathvariant="sans-serif">Learning</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="zhou-ieq2-3163576.gif"/></alternatives></inline-formula>. Based on our findings, we distill several actionable insights for SE4DL research, practice, and education, such as better support for using trained models, application-type specific tools, and teaching materials.
Pulmonary Artery Remodeling and Advanced Hemodynamics: Magnetic Resonance Imaging Biomarkers of Pulmonary Hypertension

Poorly characterized by non-invasive diagnostic imaging techniques, pulmonary hypertension (PHT) is commonly associated with changes in vascular hemodynamics and remodeling of pulmonary artery architecture. These disease phenotypes represent potential biomarkers of interest in clinical environment. In this retrospective clinical study, 33 patients with pulmonary hypertension and seventeen controls were recruited. Architectural remodeling was characterized using 3D-contrast enhanced angiogram via the measurement of pulmonary artery diameters, bifurcation distances, and angles. Hemodynamics were characterized using 4D-flow magnetic resonance imaging (MRI) via wall shear stress, kinetic energy, vorticity, and directional flow dynamics. Parameters were compared using independent samples student’s t-tests. Correlational analysis was performed using Pearson’s correlation. PHT patients demonstrated dilation in the main and right branch of the pulmonary artery (p < 0.05). Furthermore, these patients also exhibited increases in bifurcation distances in the left and right pulmonary arteries (p < 0.05). Wall shear stress, maximum kinetic energy, and energy loss were decreased in the pulmonary artery (p < 0.001). Correlations were observed between peak velocities and right ventricle ejection fraction (r = 0.527, p < 0.05). These findings suggest that pulmonary artery remodeling and hemodynamic changes may possess clinical utility as MRI biomarkers for PHT.
Blockchain Technology as a Game Changer for Green Innovation: Green Entrepreneurship as a Roadmap to Green Economic Sustainability in Peru

Blockchain technology has been heralded as a game changer for addressing severe environmental and economic sustainability challenges. In response to rising environmental concerns, blockchain technology (BCT) is transforming green innovation, culminating in green economic practices and well-established business models. Recognizing this, we investigated the role of blockchain technology in green innovation practices and its impact on green economic sustainability, which has an impact on green environmental sustainability. Moreover, 184 small- and medium-sized enterprises (SMEs) were surveyed in Lima, Peru. Data for this cross-sectional study were gathered using stratified random sampling. The positivist approach was implemented using a statistical induction method. Prior studies’ research constructs were measured using validated measurement scales. For quantitative data analysis, using the partial least squares structural equation modeling (PLS-SEM) framework, this study provided two key findings. First, sustainability orientation and sustainability attitude have a positive and significant effect on the adoption of green innovation that employs green energy (solar) technology towards a sustainable green economy. Second, the intention to use blockchain technology mediates the relationship between sustainability orientation and social perception with the adoption of green innovation that employs green energy (solar) technology towards a sustainable green economy. We recommend that small- and medium-sized enterprises embrace green innovation and blockchain technology to protect the environment and boost community cohesiveness.
Intergenerational Effects of Discrimination on Black American Children’s Sleep Health

Greater exposure to racial/ethnic discrimination among pregnant Black American women is associated with elevated prenatal depressive symptomatology, poorer prenatal sleep quality, and poorer child health outcomes. Given the transdiagnostic importance of early childhood sleep health, we examined associations between pregnant women’s lifetime exposure to racial/ethnic discrimination and their two-year-old children’s sleep health. We also examined women’s gendered racial stress as a predictor variable. In exploratory analyses, we examined prenatal sleep quality and prenatal depressive symptoms as potential mediators of the prior associations. We utilized data from a sample of Black American women and children (n = 205). Women self-reported their lifetime experiences of discrimination during early pregnancy, their sleep quality and depressive symptoms during mid-pregnancy, and their children’s sleep health at age two. Hierarchical linear multiple regression models were fit to examine direct associations between women’s experiences of discrimination and children’s sleep health. We tested our mediation hypotheses using a parallel mediator model. Higher levels of gendered racial stress, but not racial/ethnic discrimination, were directly associated with poorer sleep health in children. Higher levels of racial/ethnic discrimination were indirectly associated with poorer sleep health in children, via women’s prenatal depressive symptomatology, but not prenatal sleep quality. Clinical efforts to mitigate the effects of discrimination on Black American women may benefit women’s prenatal mental health and their children’s sleep health.
TEN YEARS OF JURNAL AKUNTANSI DAN KEUANGAN INDONESIA: A BIBLIOMETRIC STUDY

This study aims to map articles in the Jurnal Akuntansi dan Keuangan Indonesia (JAKI) published by the Faculty of Economics and Business, Universitas Indonesia, for ten years (2011 to 2020). This study deployed a bibliometric analysis as an investigative method. The data were analyzed with R biblioshiny analytical framework. The findings revealed that JAKI was considerably consistent in publishing articles every period. JAKI publishes six articles each number and two publication numbers annually. In particular, there were 120 articles gained from 2011 to 2020. Based on the analysed articles, the most frequently emerging word from unigrams was ‘study’ and ‘earnings management’ from bigrams. Additionally, the most popular topics during those years (2011 to 2020) were 'income', 'risk', 'slack', 'foreign', and 'direct. ’ Moreover, the most closely related words to other words encompassed ‘study’, ‘result’, and ‘research. ’ Further, the words ‘study', 'result', and 'effect' represented a strong density and centrality of words. Therefore, they should be cultivated.
Design of the ActInArm : a novel planar active arm support for assisting people with Duchenne Muscular Dystrophy during table-top tasks

Men and boys with Duchenne Muscular Dystrophy (DMD) suffer from a progressive muscle disease causing the skeletal, respiratory, and cardiac muscles to deteriorate, leading to loss of independent ambulation, loss of upper extremity function, and breathing and heart problems. The loss of movement of the upper extremities causes a lot of problems in daily life and table top related tasks make up a big part of this. A big wish from boys and men with DMD is have an inconspicuous assistive device that can give natural arm support. Current commercially available devices do not comply with these wishes and do not cover the complete range of function and activities. The main goal of the novel device, the ActInArm, is to give active arm support in a planar surface from an inconspicuous device so that boys and men with DMD can move their arms again. The ActInArm is an inconspicuous device that consists four big parts: a hollow table, the actuators, an arm cart, and a magnetic coupling. Inside the hollow table the two actuators that move an end effector in the horizontal plane are positioned. On top of the table’s surface there is an arm cart in which the user can lay their arm in. The movements of the end effector of the actuators and the user’s arm are coupled over distance by the magnetic coupling. One magnet is attached to the end effector and one to the arm cart. Movement of the arm cart is controlled by the user’s own intention, giving a natural feeling. Implementation of the ActInArm concept showed that a user could move its own arm intentionally over a workspace of 410mm� 260mm with very little muscle effort. By hiding the actuators inside the table and replacing the table many boys and men with DMD already have on their wheelchair, the ActInArm can be considered to be inconspicuous.
Exploring Mechanisms of Hydration and Carbonation of MgO and Mg(OH)2 in Reactive Magnesium Oxide-Based Cements

Reactive magnesium oxide (MgO)-based cement (RMC) can play a key role in carbon capture processes. However, knowledge on the driving forces that control the degree of carbonation and hydration and rate of reactions in this system remains limited. In this work, density functional theory-based simulations are used to investigate the physical nature of the reactions taking place during the fabrication of RMCs under ambient conditions. Parametric indicators such as adsorption energies, charge transfer, electron localization function, adsorption/dissociation energy barriers, and the mechanisms of interaction of H2O and CO2 molecules with MgO and brucite (Mg(OH)2) clusters are considered. The following hydration and carbonation interactions relevant to RMCs are evaluated: (i) carbonation of MgO, (ii) hydration of MgO, carbonation of hydrated MgO, (iii) carbonation of Mg(OH)2, (iv) hydration of Mg(OH)2, and (v) hydration of carbonated Mg(OH)2. A comparison of the energy barriers and reaction pathways of these mechanisms shows that the carbonation of MgO is hindered by the presence of H2O molecules, while the carbonation of Mg(OH)2 is hindered by the formation of initial carbonate and hydrate layers as well as presence of excessed H2O molecules. To compare these finding to bulk mineral surfaces, the interactions of the CO2 and H2O molecules with the MgO(001) and Mg(OH)2 (001) surfaces are studied. Therefore, this work presents deep insights into the physical nature of the reactions and the mechanisms involved in hydrated magnesium carbonates production that can be beneficial for its development.
Empathy as a Factor Conditioning Attitudes towards the Elderly among Physiotherapists—Results from Poland

Attitudes of healthcare workers towards the elderly significantly affect the quality of care dedicated to this group of patients. The purpose of this study was to assess the approach of Polish physiotherapists to the elderly and to analyze the factors influencing these attitudes. The study was based on a cross-sectional Internet-based survey that was conducted in the period from May to September 2021. It was completed by 252 subjects: 189 women and 63 men. The study was based on the involvement of physiotherapists with the right to practice their profession in accordance with the law in force in Poland. The tools used in the study were The Kogan Attitudes towards the Elderly (KAOP) score and The Jefferson Empathy Scale (JSE). To model the KOAP score as a function of the predictors, Bayesian linear regression was used. The average KOAP score in the sample was M (SD) = 100.7 (17.46), with the central 50% of the observations ranging from 81 to 113 points. We observed one statistically credible relationship: relevance of contacts with elderly people was positively and moderately related to KOAP. Additionally, we observed that the JSE scale was positively, but very weakly, associated with KOAP. Empathy and own experience of health care providers may protect against negative attitudes towards the elderly, meaning empathy in healthcare professionals is crucial.
Forecasting Network Interface Flow Using a Broad Learning System Based on the Sparrow Search Algorithm

In this paper, we propose a broad learning system based on the sparrow search algorithm. Firstly, in order to avoid the complicated manual parameter tuning process and obtain the best combination of hyperparameters, the sparrow search algorithm is used to optimize the shrinkage coefficient (r) and regularization coefficient (λ) in the broad learning system to improve the prediction accuracy of the model. Second, using the broad learning system to build a network interface flow forecasting model. The flow values in the time period [T−11,T] are used as the characteristic values of the traffic at the moment T+1. The hyperparameters outputted in the previous step are fed into the network to train the broad learning system network traffic prediction model. Finally, to verify the model performance, this paper trains the prediction model on two public network flow datasets and real traffic data of an enterprise cloud platform switch interface and compares the proposed model with the broad learning system, long short-term memory, and other methods. The experiments show that the prediction accuracy of this method is higher than other methods, and the moving average reaches 97%, 98%, and 99% on each dataset, respectively.
Multifunctional Low-Profile Fabry-Perot Resonator Antenna Integrated with Solar Cells

A novel multifunctional low-profile Fabry-Perot Resonator (FPR) antenna integrated with solar cells (SCs) is proposed in this paper. It is mainly composed of a transparent partially reflective surface (PRS), a patch radiator and an artificial magnetic conductor (AMC) made of SCs array. On the upper layer, the PRS is made of the transparent copper microgrid to perform the function of partial reflection as well as ensure the sufficient solar energy can be captured by the SCs. Here, the SCs array acting as AMC can reduce the profile of the FPR antenna, on the other hand, it can collect solar energy and convert it into DC power to provide energy supply of the device. Through this design, the SCs and FPR antenna are well combined compatibly together. The proposed antenna is fabricated and verified, the measured results demonstrate that the proposed multifunctional FPR antenna has a realized gain of 11.5dBi with high aperture efficiency of 58.3% and a good low-profile characteristic (approximately λ0/6). The measured output power of SCs can reach to 600 uw. The work proposed in this paper illustrates the multifunctional requirements of antenna with high radiation properties, low profile and the capability of power harvesting, simultaneously. It may be a good scheme for self-powered occasions, such as outdoor and satellite communication devices.
Climate Change and the Integrity of Science

citizens should understand some basic scientifi c facts. is always some uncertainty associated scientifi c conclusions; science never absolutely proves anything. When someone says that should wait until are certain society take action. For a problem as potentially catastrophic as climate change, taking no action poses a dangerous risk our planet. Scientifi c conclusions derive from an understanding of basic supported by laboratory experiments, observations of nature, and mathematical and computer modeling. Like all human beings, scientists make mistakes, but scientifi c process is designed to fi nd correct them. This ntists not only for supporting conventional wisdom, but even more so for demonstrating that the scientifi c consensus is wrong and that there is a better explanation. That s what Galileo, Pasteur, Darwin, and did. have been and ques
3D Printing Soft Matters and Applications: A Review

The evolution of nature created delicate structures and organisms. With the advancement of technology, especially the rise of additive manufacturing, bionics has gradually become a popular research field. Recently, researchers have concentrated on soft robotics, which can mimic the complex movements of animals by allowing continuous and often responsive local deformations. These properties give soft robots advantages in terms of integration and control with human tissue. The rise of additive manufacturing technologies and soft matters makes the fabrication of soft robots with complex functions such as bending, twisting, intricate 3D motion, grasping, and stretching possible. In this paper, the advantages and disadvantages of the additive manufacturing process, including fused deposition modeling, direct ink writing, inkjet printing, stereolithography, and selective laser sintering, are discussed. The applications of 3D printed soft matter in bionics, soft robotics, flexible electronics, and biomedical engineering are reviewed.
Seed priming with different agents mitigate alkalinity induced oxidative damage and improves maize growth

Soil alkalinity is a severe threat to crop production globally as it markedly retards plant growth. Different techniques are used to mitigate alkaline stress, but priming techniques are considered the most appropriate. The current study was carried out in complete randomized design (CRD) to evaluate the effect of different priming techniques on maize crop grown under different levels of alkalinity stress. The experiment was comprised of different treatments of alkalinity stress (AS) including, control, 6 dS m-1 and 12 dS m-1 and different priming techniques including control, hydro-priming (HP), osmo-priming (OP) with potassium nitrate: KNO3) and redox-priming (RP) with hydrogen peroxide (H2O2). Results indicated that alkalinity stress significantly reduced plant growth and biomass production and induced severe alterations in physiological attributes and antioxidant activities. Soil alkalinity significantly reduced the root and shoot growth and subsequent biomass production by increasing electrolyte leakage (70.60%), hydrogen peroxide (H2O2: 31.65%), malondialdehyde (MDA: 46.23%) and sodium (Na+) accumulation (22.76%) and reduction in photosynthetic pigments, relative water contents (RWC), total soluble proteins (TSP) and free amino acids, potassium (K+) accumulation. However, priming treatments significantly alleviated the alkalinity-induced toxic effects and improved plant growth. OP (KNO3) remained the top performing. It appreciably improved plant growth owing to the improved synthesis of photosynthetic pigments, better RWC (16.42%), TSP (138.28%), FAA (178.37%), and K+ accumulation (31.385) and improved antioxidant activities (APX and CAT) by favoring the Na+ exclusion and maintenance of optimum Na+/K+. In conclusion, KNO3 priming is an imperative seed priming practice to improve maize growth and biomass production under alkalinity stress.
Definition of Ship Outfitting Scheduling as a Resource Availability Cost Problem and Development of a Heuristic Solution Technique

The outfitting process of shipyards building complex ship types, such as offshore, passenger, and military vessels, is becoming more critical to efficient ship production as the number of components installed on these vessels continues to increase. Outfitting of such vessels is generally characterized by disorganization and rework due to a lack of coordination between the shipyard and subcontractors as well as insufficiently detailed planning. This paper presents a mathematical model for the outfitting planning process of a shipyard building complex vessels. A qualitative description is included for the constraints and objectives underlying the developed mathematical model for the Ship Outfitting Scheduling Problem (SOSP). A heuristic solution technique is also developed for solving the SOSP, and a test case of six midship sections from a recently constructed pipelaying vessel is presented to show the feasibility of both the mathematical model and heuristic. This test case shows that it is possible to find a high-quality planning for the SOSP with a reasonable computational effort. Furthermore, it was found that the greatest priority should be given to components that have the earliest deadlines or dependents with such deadlines. Components should also be scheduled in such a way to minimize the required movements of outfitting personnel between the different work sites of a shipyard.
Stranded Assets in Palm Oil Production: A Case Study of Indonesia

We identify and assess the environment-related risks facing financial, human, natural, physical, and social assets along the Indonesia palm oil value chain. This working paper also assesses the extent to which these risks are currently being addressed and reviews current ESG initiatives related to the Indonesian palm oil value chain and whether these are a suitable response. Finally, we look at the companies involved in the Indonesian oil palm oil value chain and examine the extent to which they are addressing these issues.