Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study on Intelligent Guide Stick Using YOLOv3 Algorithm – Improving Spatial Awareness with Self-made Data Set

The increasing negligence of “blind lanes” on streets in metropolises such as Shanghai is an inconvenience to the blind population, therefore, alternatives should be explored. When walking on these lanes, there should not be any obstacles for the users, yet bikes can be seen parked there in addition to littered objects. This makes it potentially more dangerous to walk on them in comparison to walking on non-tactile paved lanes. An alternative to these lanes has been discovered which is a camera that is attached to a blind staff. This camera provides auditory feedbacks in regard to the user’s surroundings. Using YOLOv3 (You Only Look Once, Version 3), the software is trained using 140 images to identify three different classes which are blind lanes, waist-high obstacles, and dog feces, as well as the right direction of these objects. If the camera captures any of these three categories, it will provide and voice feedback, hence, warning the user. With this system, the blind can essentially have functional vision that would better guarantee their safety when walking on streets.
The Effects of Adolescents’ Relationships With Parents and School/institute Teachers as Protective Factors on Smartphone Addiction: Comparative Analysis of Elementary, Middle, and High School Levels in South Korea

This study was conducted for the purpose of empirically analyzing the effects of adolescents’ relationships with major adults as protective factors for smartphone addiction. Specifically, the study compared the discriminatory effects of adolescents’ relationships with their parents, school teachers, and educational institute teachers on smartphone addiction among elementary, middle, and high school students in Korea. Analyzing the data of the 2019 Korean Children & Youth Happiness Index (*N*=7,454), it was found that relationships with adults were significant factors in explaining the level of smartphone addiction even after controlling for the influences of adolescents’ demographics, usage time, and friendship factors. For elementary school students, good relationships with their mothers and school teachers decreased the risk of smartphone addiction. On the other hand, in the case of middle school students, only a good relationship with father functioned as a protective factor. Good relationships with their fathers and institute teachers decreased the level of high school students’ smartphone addiction. Based on these findings, this study discussed on the development of programs and policies for prevention and intervention of adolescents’ smartphone addiction and provided suggestions for follow-up research in the future.
Delivery of High Mobility Group Box-1  via Engineered Exosomes Improves Cavernosa I njury -Induced Erectile Dysfunction in Rats

BackgroundCavernous is a vascular-rich tissue. Thus, vascular reconstruction is suggested to be essential for the treatment of erectile dysfunction (ED) caused by cavernosa injury. High mobility group box-1 (HMGB1) has been involved in the regulation of growth and differentiation of vascular endothelial cell. In this study, the therapeutic efficiency of engineering HMGB1/Exosomes (exos) derived from adipose tissue derived stem cells (ADSCs) were determined on injured cavernosa.MethodsWe constructed engineered HMGB1/exos and CD63-HMGB1/exos derived from ADSCs. MTT assay, migration assay, and angiogenesis assay were performed in vitro, and erectile and vascular function were detected in a mouse model.ResultsHMGB1 could be successfully delivered to human umbilical venous endothelial cells (HUVECs) via engineered CD63-HMGB1/exos. Treatment with CD63- HMGB1/exos resulted in a significant increase in the proliferation, migration, and angiogenesis of HUVECs. In vivo experiments showed that rats of CD63- HMGB1/exos group had the highest ICP/MAP values at 14 and 28 days after injection. Meanwhile, treatment of CD63- HMGB1/exos remarkably increased the content of smooth muscle. The expression of CD31and vascular endothelial factors were increased after the treatment of CD63-HMGB1/exos, which indicating improved vascular function.ConclusionsEngineering CD63- HMGB1/exos derived from ADSCs notably repaired injured cavernosa-induced ED via promoting vascular reconstruction.
Effect of Ni, N Co-Doped on Properties of AgSnO2 Contact Materials

The first-principles method based on density functional theory was used to analyze the impurity formation energies, energy bands, density of states, electron overlap population and elastic modulus of SnO2, SnO2–Ni, SnO2–N and SnO2–Ni–N. SnO2 powders with different additives were prepared by the sol-gel method, and then X-ray diffraction experiments and wettability experiments were carried out. The powder metallurgy method was used to prepare AgSnO2 contacts with different additives. The simulation experiments on hardness, electrical conductivity and electrical contact were carried out. The simulation results show that the conductivity of Ni–N co-doped SnO2 is best, and more impurity levels are introduced into the forbidden band, thereby increasing the carrier concentration, reducing the band gap, and improving the conductivity. The experimental results show that Ni, N doping does not change the structure of SnO2, so doped SnO2 still belongs to the tetragonal system. Ni–N co-doping can better improve the wettability between SnO2 and Ag, reduce the accumulation of SnO2 on the contact surface and reduce the contact resistance. Ni–N co-doped SnO2 has the smallest hardness, improving ductility, molding and service life of the AgSnO2 contact material.
Ctnna3 Deficiency Promotes Heart Regeneration by Enhancing Cardiomyocyte Proliferation in Neonatal Mice

Heart regeneration requires renewal of lost cardiomyocytes. However, the mammalian heart loses its proliferative capacity soon after birth, and the molecular signaling underlying the loss of cardiac proliferation postnatally is not fully understood. Here we report that ablation of Ctnna3, coding for an αT-catenin protein and highly expressed in hearts, accelerated heart regeneration following heart apex resection in neonatal mice. Our results show that Ctnna3 deficiency enhances cardiomyocyte proliferation in hearts from P7 mice by upregulating Yap expression. Our study demonstrates that Ctnna3 deficiency is sufficient to promote heart regeneration and cardiomyocyte proliferation in neonatal mice and indicates that functional interference of α-catenins might help to stimulate myocardial regeneration after injury.
Spatial variation in household-level risk to natural hazards across the coast of Bangladesh

Abstract People’s vulnerability, exposure and capacity are key components of a risk assessment. Index-based methodologies have proved useful to document spatial variation in risk-controlling factors. The objective of this study is to propose a methodology to derive quantitative indicators of household vulnerability, exposure and capacity to assess household’s risk and its spatial variation. The method is applied to six unions of the coastal region of Bangladesh, including three offshore islands. Field data are collected by questionnaire survey of 609 households and 6 focus group discussions. Using conventional data conversion and aggregation methods and principle component analysis (PCA), the variables are summarized into a small set of dimensions to derive vulnerability and capacity scores. Result shows that households of islands are generally more vulnerable to natural hazards than nearby onshore unions. Unions of the central coast of Bangladesh are characterized by households with higher vulnerability and lower capacities than two other parts. The fatality rate of cyclone SIDR at village level is used to validate the spatial variation of household risk for one surveyed union. The proposed methodology and produced maps could support national to local government bodies in assessing household risk and identifying locations where to implement specific risk reduction measures.
E-WALLET SERVICE INNOVATION, SERVICE DELIVERY, AND CUSTOMER SATISFACTION ON CUSTOMER LOYALTY WITHIN SHOPEEPAY IN INDONESIA

Abstract- Indonesia's fast-growing digital payment industry is encouraging the emergence of new players. In a highly competitive industry and accompanied by COVID-19, e-wallet service providers compete to attract consumers and seller partners to use their services. This study aims to examine the effect of service innovation (SI), service delivery (SD), and customer satisfaction (CS) on customer loyalty (CL) of ShopeePay e-wallet users in Indonesia, especially during the COVID-19 outbreak. This study uses a quantitative method with non-probability sampling, namely judgment sampling, in which respondents are users of ShopeePay e-wallet service in Indonesia. Samples analyzed was 303 respondents with questionnaire data collection technique. The results shows that SI and SD mediated by CS, and CS itself has a positive and significant effect on CL of ShopeePay users in Indonesia. These findings indicate that ShopeePay Indonesia needs to develop SI and SD that meets customer needs and expectations to achieve CL. Keywords: Delivery; Indonesian e-wallet; Innovation; Loyalty; Satisfaction
Flexural behavior of reinforced concrete beam using CFRP hybrid system

Abstract This paper presents experimental and numerical study to investigate the flexural behaviour of strengthened RC beams using three CFRP techniques. Considered main variables were CFRP technique, amount of CFRP NSM and rope and cost/increase in strength effectiveness. Results indicate that using CFRP rope and sheet increased significantly maximum load and maximum strain of RC beams. Average increase in strength and maximum strain were 76.3% to 143.5% and 206% to 246% as the control RC beam. Moreover, RC beams strengthened with CFRP rope exhibited strength approximately similar to ones strengthened with CFRP strip. The cost/increase in strength ratio of specimens strengthened by CFRP rope is 61% higher than the ratio of specimens strengthened by CFRP NSM strip. Hence, the specimens strengthened by one layer of CFRP rope is the most economic techniques based in cost/increase in strength ratio even though it exhibited maximum load less than the specimens strengthened with two layers of CFRP rope or strip. CFRP rope was 40% lower than CFRP strip when same strengthening effect was achieved. Finally, complementary to experimental work a finite element model FEM was developed to investigate the flexural behaviour of beam. The FEA model showed somehow good agreement with the experimental results.
Design of bright near-infrared-emitting quantum dots capped with different stabilizing ligands for tumor targeting

In this study, a facile formulation of near-infrared (NIR)-emitting CdHgTe/CdS/CdZnS quantum dots (QDs) was fabricated and coated with three different thiol ligands, N-acetyl-L-cysteine (NAC), 3-mercaptopropionic acid (MPA) and thioglycolic acid (TGA). The optical properties, morphology, hydrodynamic diameters, structure and surface chemistries of the developed QDs were comprehensively assessed. As a therapeutic drug, NAC provides excellent biocompatibility and anti-oxidant activity both in vitro and in vivo. Given their core–shell–shell structure, the QDs induced no toxicity in living bodies even at a concentration of 20 mg kg−1. Compared with NAC-capped QDs, TGA- and MPA-capped QDs demonstrated poor tumor-targeting capabilities because of their larger hydrodynamic diameters and inferior biocompatibility. Furthermore, the use of different stabilizing ligands resulted in various major changes in organ biodistribution and clearance from the body. In terms of rapid metabolization through renal clearance, the NAC-capped core–shell–shell QDs will be an alternative probe in cellular metabolism studies and image-guided surgery for tumor targeting and removal.
Oligosaccharide and antinutrient content of whole red haricot bean fermented in salt–sugar and salt‐only solutions

Common beans (Phaseolus vulgaris L.) are nutritious and confer numerous health benefits. However, they are also high raffinose family oligosaccharides (RFOs) and antinutrients. Appreciable amounts of RFOs and antinutrients remain after soaking and cooking, causing flatulence and lowered mineral bioavailability to bean consumers. Fermentation has been shown to lower RFOs and antinutrients in bean flours and milk. However, beans are majorly consumed as whole grains. The purpose of this study was to develop a protocol for fermenting whole common beans. We fermented boiled whole red haricot beans and evaluated their effect on RFOs, tannins, and phytates. A factorial research design was used. Beans were sorted, soaked for 15 h, and boiled for 1 h. The beans were then fermented in 2% salt–sugar solution (SSF) and 2% salt‐only solution (SOF) for 120 h. Microbial growth and pH were monitored every 24 h during fermentation. After fermentation, the beans were dried, milled, and the flours subjected to biochemical analysis. Fermentation favored the growth of lactic acid bacteria (LAB), lowering the pH to 3.88 and 5.26 in SSF and SOF batches, respectively. Tannin content reduced significantly by 64.70% and 73.19% in the SSF and SOF batches, respectively. Phytates reduced by 58.88% and 68.85%, respectively. Raffinose reduced significantly by 96.40% and 95.01%, respectively, whereas stachyose reduced by 95.92% and 94.11%, respectively. The highest reduction of antinutrients and RFOs occurred between 24 and 72 h of fermentation. Higher antinutrient losses occurred in the SOF batch, whereas higher RFO losses occurred in the SSF batch.
Encoding the atomic structure for machine learning in materials science

In recent years, we have witnessed a widespread application of machine learning techniques in the field of materials science, owing to the increased availability of research data and sophisticated algorithms. At the core of this technology lies the ability to encode material structures into descriptors that are understandable for a computer. Although significant advances have been made in this area, there is a continued need to explore efficient structure‐encoding strategies so as to maximize the predictive power of the machine learning models. Here we present a revision of the exciting progress in four representative structural features that are capable of describing the structures of diverse materials: structure graph, Coulomb matrix, topological descriptor, and diffraction fingerprint. Particular attention is given to the studies of crystalline solids, which appear more challenging to be encoded than molecules. By summarizing previous works and presenting critical appraisals of these descriptors, this review could offer some guideline for the selection of structural features and stimulate inspiration for the design of powerful descriptors suited towards different tasks.
Powerful authentication regime applicable to naval OFP integrated development (PARANOID): a vision for non-circumventable code signing and traceability for embedded avionics software

Purpose This paper aims to describe an effort to provide for a robust and secure software development paradigm intended to support DevSecOps in a naval aviation enterprise (NAE) software support activity (SSA), with said paradigm supporting strong traceability and provability concerning the SSA’s output product, known as an operational flight program (OFP). Through a secure development environment (SDE), each critical software development function performed on said OFP during its development has a corresponding record represented on a blockchain. Design/methodology/approach An SDE is implemented as a virtual machine or container incorporating software development tools that are modified to support blockchain transactions. Each critical software development function, e.g. editing, compiling, linking, generates a blockchain transaction message with associated information embedded in the output of a said function that, together, can be used to prove integrity and support traceability. An attestation process is used to provide proof that the toolchain containing SDE is not subject to unauthorized modification at the time said critical function is performed. Findings Blockchain methods are shown to be a viable approach for supporting exhaustive traceability and strong provability of development system integrity for mission-critical software produced by an NAE SSA for NAE embedded systems software. Practical implications A blockchain-based authentication approach that could be implemented at the OFP point-of-load would provide for fine-grain authentication of all OFP software components, with each component or module having its own proof-of-integrity (including the integrity of the used development tools) over its entire development history. Originality/value Many SSAs have established control procedures for development such as check-out/check-in. This does not prove the SSA output software is secure. For one thing, a build system does not necessarily enforce procedures in a way that is determinable from the output. Furthermore, the SSA toolchain itself could be attacked. The approach described in this paper enforces security policy and embeds information into the output of every development function that can be cross-referenced to blockchain transaction records for provability and traceability that only trusted tools, free from unauthorized modifications, are used in software development. A key original concept of this approach is that it treats assigned developer time as a transferable digital currency.
Articulated atlas for segmentation of the skeleton from head & neck CT datasets

In this paper a novel articulated atlas for the fully automated segmentation of the skeleton from head & neck CT datasets is presented. An individual atlas describing the shape and appearance is created for each individual bone. Principal Component Analysis is used to learn spatial relations between those atlases resulting in a unified articulated atlas. Transformations are parameterized using the matrix exponential to enable linear combinations required for learning. The adaptation to test images considers appearance, distance to bone structures and the trained articulation space. For evaluation, an atlas created from 10 manually labeled training images has been applied to 46 clinically acquired head & neck CT datasets. Visual inspection showed that in 74% of the cases, the adaptation process was successful. In a second experiment leave-one-out validation was used to quantify the segmentation accuracy. The successfully adapted cases resulted in an average volume overlap error of 30.67 and an average symmetric surface distance of 0.76 mm.
Product Quality Prediction for Wire Electrical Discharge Machining with Markov Transition Fields and Convolutional Long Short-Term Memory Neural Networks

This paper proposes a wire electrical discharge machining (WEDM) product quality prediction method, called MTF-CLSTM, to integrate the Markov transition field (MTF) and the convolutional long short-term memory (CLSTM) neural network. The proposed MTF-CLSTM method can accurately predict WEDM workpiece surface roughness right after manufacturing by collecting and analyzing static machining parameters and dynamic manufacturing conditions. The highly accurate prediction is due to the following two reasons. First, MTF can transform data into images to extract data temporal information and state transition probability information. Second, the CLSTM neural network can extract image spacial features and temporal relationship of data that are separated far apart. In short, MTF-CLSTM predicts WEDM workpiece surface roughness with the MTF model and the CLSTM neural network using static machining parameters and dynamic manufacturing conditions. MTF-CLSTM is compared with 10 related research studies in many aspects. There is only one existing method that is like MTF-CLSTM to predict WEDM workpiece surface roughness by using static machining parameters and dynamic manufacturing conditions. Experiments are conducted to evaluate MTF-CLSTM performance to show that MTF-CLSTM significantly outperforms the existing method in terms of the prediction mean absolute percentage error.
HUBUNGAN ANTARA SUSTAINABILITY REPORT, KINERJA PASAR, DAN KINERJA FUNDAMENTAL: BUKTI AKTOR KEPEMILIKAN PERUSAHAAN

The importance of concern for the environment in long-term business processes and the sustainability of the company's life through the practice of sustainability report disclosure. This study aims to analyze the effect of the sustainability report and actors of company ownership on market performance and fundamental performance. The sampling technique was purposive sampling. Types and sources of data used are secondary data from annual reports and sustainability reports. The method used is factor analysis to see the contribution of indicators to variables, and path analysis to see the effect of sustainability report disclosure, using Statistical Product and Service Solutions (SPSS) tools. The findings state that the sustainability report has an effect on market performance, but the sustainability report has no effect on fundamental performance. Company ownership: BUMN and BUMS actors influence market performance and company fundamental performance. Keywords: BUMN, BUMS, market performance, fundamental performance, sustainability report
‘It was the easiest way to kind of announce it’: exploring death announcements on social media through a dramaturgical lens

ABSTRACT The internet and social media have radically transformed grief, mourning and memorialisation. This article addresses how online death announcements (ODAs) (where bereaved people use social media platforms to share news of a loved one’s death) are extending beyond the role of public death notification previously limited to newspaper-published obituaries. We argue that ODAs are social performances embodying a diverse range of grief responses and offer a significant new direction in death scholarship. We draw on semi-structured interview data with nine people who announced the death of a loved one on Facebook, Instagram or Twitter. Using a dramaturgical framework to interrogate this data, we argue that ODAs go beyond purely information-sharing devices and are, instead, complex performances which benefit mourners in a number of ways and are governed by tacit ‘rules’ of permission and content. To make sense of this, we analyse in turn the role of, and collaboration between, the ‘actors’ who post ODAs, the ‘performance’ of the ODA itself, and the ‘audience’ of friends/followers who ‘receive’ the ODA. We reveal that ODAs are social performances possessing multiple modalities and reveal the depth of complexity present in grieving online.