Miracle-dz/UniFAR-FTUs huggingface dataset:
Somatic embryogenesis from young inflorescences of the giant bamboo Dendrocalamus asper (Schult f.) Backer ex Heyne

Bamboos are an important worldwide non-timber forest product with current rising interest due to their environmentally friendly applications. Besides the consolidated uses of the sweet shoots and culms for structural uses, Dendrocalamus asper is an imposing ornamental bamboo for horticulture. The present work aimed to establish in vitro calli culture and plant regeneration through somatic embryogenesis starting from young inflorescences of the giant bamboo, D. asper. Pre-anthesis inflorescences were collected, disinfested, and subjected to callus induction on MS basal medium supplemented by 0 µM, 9 µM, 18 µM, 27 µM, and 36 µM of 2,4-D in combination with 9 µM of 2-iP or 9 µM Kin. The different obtained calli types were characterized and subcultured in 0 µM, 4.5 µM, 9 µM, and 18 µM of 2,4-D in combination with 9 µM of both cytokinins for multiplication and differentiation. Additionally, the explant incision and its inoculation orientation onto culture media were tested for callus induction improvement. The 2,4-D was essential for callus induction, and its combination with both cytokinins resulted in embryogenic callus induction and further somatic embryos regeneration. The subsequent reduction of this auxin to 4.5 µM resulted in somatic embryo maturation. Somatic embryos transferred to a plant growth regulator-free medium resulted in plantlet conversion. The present work showed the feasibility of using inflorescences as explants and the efficiency of using the 2-iP in combination with 2,4-D to callus induction and in vitro bamboo plant regeneration through somatic embryogenesis.
From Global Doom to Sustainable Solutions: International News Magazines’ Multimodal Framing of our Future with Climate Change

ABSTRACT Modeling future pathways is essential for climate research, and such climate futures are also an integral part of media coverage on climate change. However, research on media’s framing of climate change has only sparsely investigated future visions, although media effect studies assume that characteristics of climate futures, including their visual representation, can motivate people to act. Hence, in this study, we analyzed the multimodal media framing of climate futures. The qualitative content analysis considered leading news magazine cover stories on climate change (N = 62) from 1980 to 2019 in India, Germany, the United Kingdom, and the United States. We identified three multimodal frames: While Global Doom and Local Tragedies were dominant in the early years, a new frame has recently emerged and focuses more prominently on a Sustainable Future. This analysis thus witnessed a shift from apocalyptic climate futures to a more diverse and potentially empowering reporting.
The Effects of Performance Expectancy, Effort Expectancy, Facilitating Condition, and Habit on Behavior Intention in Using Mobile Healthcare Application

South Tangerang Health Office had the responsibility in giving outstanding healthcare services to its resident’s despite of its limitation due Covid-19 pandemic. Some programs were initiated to reduce maternal, babies and toddler mortality, and in the same time reduce the number of malnourished children. The integrated healthcare mobile application called Si Pandai Kemas TangSel had been launched and can be downloaded easily through smartphone. The study is expected to measure the effectiveness of Si Pandai Kemas TangSel using UTAUT approach by measuring the influence of performance expectancy, effort expectancy, facilitating condition and habit toward behavior intention in using Si Pandai Kemas TangSel mobile application. The study showed that the effort expectancy and habit can increase the intention to use Si Pandai Kemas TangSel application. Meanwhile, performance expectancy and facilitating conditions did not affect behavioral intention in using Si Pandai Kemas TangSel application.
The effect of brand experiences on brand loyalty through perceived quality and brand trust: a study on sports consumers

PurposeAdopting the brand resonance approach, this research aimed to reveal the effect of emotional (perceived quality) and rational (brand trust) factors between brand experience and brand loyalty.Design/methodology/approachThis article uses the brand resonance model to examine the above-mentioned relationship. The sample of the study consisted of 385 sports consumers between the ages of 18 and 65 years. An online survey was used to collect data and surveys were delivered to sports consumers via social media. Using SmartPLS 3.0 software, a partial least squares structural equation modeling analysis was conducted in this study.FindingsThe results support the hypotheses and demonstrate the importance of quality and trust in building customer loyalty for companies in the sports industry. Brand experience has a positive direct effect on perceived quality, brand trust and brand loyalty. It has been revealed that there is an important intermediary role of perceived quality and brand trust that manages the relationship between customers' brand experience and brand loyalty.Practical implicationsThe findings of this study are essential for brands that want to develop and are included in the sports industry in the online shopping environment, which increases with the development of technology to create long-term loyalty in customers.Originality/valueIt reveals two mediating roles in the relationship between brand experience and brand loyalty, namely perceived quality and brand trust. These research results help to understand the processes of shaping the loyalty of sports consumers towards sports brands. Unlike previous studies, it examines this relationship in the sports industry by adding new mediator variables and contributes to the development of the model.
Changes in eating habits and lifestyle during COVID-19 curfew in children in Saudi Arabia

BACKGROUND/OBJECTIVES Curfew due to the coronavirus disease 2019 (COVID-19) pandemic could influence health behaviors in people, especially in children, who can easily acquire unhealthy eating habits. This study aimed to investigate the effect of COVID-19 on weight, health behaviors including eating habits, physical activity, and sedentary behavior in children aged 6–15 years in Saudi Arabia. SUBJECTS/METHODS We conducted a cross-sectional online survey that included 280 children aged 6–15 years in Saudi Arabia during the COVID-19 curfew. The survey included questions on sociodemographic characteristics, anthropometric measures, and health behaviors including eating habits, physical activity, and sedentary behavior. RESULTS We observed a significant difference in the body mass index before and after the COVID-19 pandemic (P < 0.001). Children significantly tended to skip breakfast, along with a decreased intake of dairy products and fast food (P < 0.001). Moreover, children were less physically active and significantly tended to be involved in leisure screen-based activities, including watching TV and use of computer/games (P < 0.001). CONCLUSIONS This study provides evidence for the negative influences of the COVID-19 curfew on health behaviors, including eating habits, physical activity, and sedentary behavior in children in Saudi Arabia.
Preliminary report of structural damage from the Loma Prieta (San Francisco) earthquake of 1989 and pertinence to Canadian structural engineering practice

The Richter magnitude 7.1 October 17, 1989 Loma Prieta (San Francisco) earthquake is the largest to occur near a major North American urban center since the historical 1906 San Francisco magnitude 8.3 earthquake. As earthquakes of at least similar strength are expected to occur in most of eastern and western Canada, and since the amount of structural damage that occurred is considerable, the study of the effects of this earthquake is of particular significance to Canada. This paper reports on the major structures and types of structures that were most heavily damaged by this earthquake, and presents preliminary findings as to the causes of failures or collapses. The pertinence of this earthquake is reviewed in a Canadian perspective. Key words: earthquake, structures, damage, failure, collapse, buildings, bridges, heritage buildings, emergency preparedness.
High-efficiency bidirectional single-input multiple-output power converter

This study investigates the design of a high-efficiency bidirectional single-input multiple-output (BSIMO) power converter. According to the power management, the proposed BSIMO converter can operate at a step-up state (energy release) and a step-down state (energy storage). At the step-up state, it can boost the voltage of a low-voltage input power source to a controllable high-voltage dc bus and middle-voltage output terminals. If there is redundant energy in the high-voltage dc bus, one can reversely transmit the energy. The high-voltage dc bus can take as the main power, and middle-voltage output terminals can supply powers for individual middle-voltage dc loads or to charge auxiliary power sources (e.g. battery modules). In this study, a coupled-inductor-based BSIMO converter utilises only three power switches to accomplish the bidirectional power control with the properties of voltage clamping and soft switching, and the corresponding device specifications are adequately designed. As a result, the objectives of high-efficiency power conversion, bidirectional energy transmission, high step-up/step-down ratios and various output voltages with different levels can be obtained. The effectiveness of the proposed BSIMO power converter is verified by experimental results of a kW-level prototype in practical applications.
High-cycle fatigue of micromachined single-crystal silicon measured using high-resolution patterned specimens

A single-crystal silicon fatigue test structure was fabricated using high-resolution lithography to improve smoothness and morphological uniformity. An on-chip test structure, including a notched test piece, a resonator, an electrostatic actuator and a deflection sensor, was fabricated using 0.6 µm resolution lithography. Fatigue tests were performed under different deflection amplitudes and humidity conditions. The lifetime scattering was limited nearly within 1 order at each condition, and this was a large improvement over other reported studies. Our test results indicated a clear tendency for the lifetime to lengthen when the strain amplitude or ambient humidity was decreased. Strain–life behaviors at two different humidity conditions were analyzed using Paris law and crack propagation exponents of 19.6 and 23.0 were obtained at 50%RH and 25%RH, respectively. A humidity dependence was clearly confirmed by the results of our low-scattering experiment. Moreover, for this measurement, a new parallel test system was built in which fatigue tests on up to 12 samples could be performed simultaneously. The drive circuit, which enables a deflection-controlled fatigue test, is described and its performance was demonstrated.
Intermodal Transit System Coordination

In urban areas where transit demand is widely spread, passengers may be served by an intermodal transit system, consisting of a rail transit line (or a bus rapid transit route) and a number of feeder routes connecting at different transfer stations. In such a system, passengers may need one or more transfers to complete their journey. Therefore, scheduling vehicles operating in the system with special attention to reduce transfer time can contribute significantly to service quality improvements. Schedule synchronization may significantly reduce transfer delays at transfer stations where various routes interconnect. Since vehicle arrivals are stochastic, slack time allowances in vehicle schedules may be desirable to reduce the probability of missed connections. An objective total cost function, including supplier and user costs, is formulated for optimizing the coordination of a general intermodal transit network. A four-stage procedure is developed for determining the optimal coordination status among routes at every transfer station. Considering stochastic feeder vehicle arrivals at transfer stations, the slack times of coordinated routes are optimized, by balancing the savings from transfer delays and additional cost from slack delays and operating costs. The model thus developed is used to optimize the coordination of an intermodal transit network, while the impact of a range of factors on coordination (e.g., demand, standard deviation of vehicle arrival times, etc) is examined.
Heterologous expression of the peach sucrose transporter (PpSUT2) in increased cold and drought stress tolerance in tobacco

ABSTRACT Peach is an important fruit tree worldwide. Sucrose transporters (SUTs) have been extensively studied in relation to plant growth, development, and stress responses. In this study, we cloned a putative SUT, PpSUT2, from the peach cultivar ‘New Kawanakajima. ’ Bioinformatics analysis predicted that the protein had functional domains typical of the GPH_sucrose family. Phylogenetic analysis revealed high sequence similarity between PpSUT2 and SUTs from other plant species. The qRT-PCR suggested that PpSUT2 was expressed concurrently in the petals, sepals, pistils, stamen, phloem, and leaves. Different trends and different relative expression levels were observed during the flowering and fruit development periods. Western blot analysis produced similar results. The heterologous expression of SUTs in the defective yeast SUSY7/ura3 showed that PpSUT2 had a complementary function on SD sucrose medium. This indicated that it had sucrose transport activity and might be a signal protein. Then, 11PpSUT2 transgenic tobacco plants were obtained.After exposure to low temperature and drought stress conditions, the transgenic overexpression plants exhibited increased proline and soluble sugar content, reduced malondialdehyde (MDA) content and reduced relative conductivity, and less membrane injury. These results suggest that the overexpression of PpSUT2 in tobacco promoted greater resistance to cold and drought.
Restoring cholesterol homeostasis in familial hypercholesterolemia cell line model

Familial hypercholesterolemia (FH) is an autosomal dominant disorder that results in elevated levels of low-density lipoprotein cholesterol (LDL-C). This increase in serum cholesterol level has been shown to result in premature coronary artery disease (CAD) with devastating symptoms from a young age. Today, the prevalence of heterozygous FH (HeFH) and homozygous FH (HoFH) is estimated to be 1 in 320 and 1 in 160,000 people, respectively. FH is referred to as an underdiagnosed disease due to the large number of mutations that continues to grow. These mutations often exist in one of or a combination of three genes: low-density lipoprotein receptor (LDLR), apolipoprotein B (APOB100), or proprotein convertase subtilin/kinase 9 (PCSK9) (S. Singh & Bittner, 2015). Mutations in the LDLR adapter protein 1 (LDLRAP1) were also identified as a less common cause of FH, the autosomal recessive variety, specifically. In treating the disease, patients are prescribed various treatment protocols aimed at reducing endogenous cholesterol synthesis, removal of excess cholesterol through extracorporeal machinery, and other medications aimed at upregulating the LDL receptors in the body. To this day, liver transplants remain as the only cure for FH. FH-induced pluripotent stem cells (FH-iPSC) derived from HoFH skin fibroblasts were permanently corrected using CRISPR technology to insert the three missing base pairs and restore transport of the LDL receptor from the endoplasmic reticulum (ER) to the Golgi body. Hepatocytes are the cells primarily responsible for LDL-C uptake from the plasma, so we differentiated noncorrected familial hypercholesterolemia (NC) and CRISPR-corrected (C) iPSC to hepatocyte-like cells (HLC) to analyze restoration of cholesterol homeostasis. iPSC and HLC were treated with Rosuvastatin, excess sterols, or tunicamycin and collected for mRNA analysis and protein analysis of LDLR and ER stress markers. HLC were also treated with Rosuvastatin and immunocytochemistry and the Thermofisher Amplex Red Cholesterol Assay kit were used to analyze localization of LDLR within the cell and internalization of cholesterol, respectively. Statin-treated NC-iPSC and HLC showed predominant expression of an immature LDLR protein that was not present in C-iPSC or HLC and this upregulation was not the result of regulation at the transcriptional level. The LDLR co-localized to ER resident-protein, Calnexin, in NC-HLC whereas the LDLR co-localized to the cell-membrane in the C-HLC. Upon correcting expression of the mature LDLR, cholesterol internalization increased overtime in C-HLC in contrast to a minimal amount internalized at the 24-hour mark in the NC-HLC. Lastly, statintreated NC-iPSC and HLC were not observed to induce ER stress as represented by markers XBP1 and BiP. TABLE OF CONTENTS APPROVAL PAGE ii
Benefits of Stochastic Weight Averaging in Developing Neural Network Radiation Scheme for Numerical Weather Prediction

Stochastic weight averaging (SWA) was applied to improve the radiation emulator based on a sequential neural network (SNN) in a numerical weather prediction model over Korea. While the SWA has advantages in terms of generalization such as the ensemble model, the computational cost is maintained at the same level as that of a single model. In this study, the performances of both emulators were evaluated under ideal and real case frameworks. Various sensitivity experiments using different sampling ratios, activation functions, hidden layers, and batch sizes were also conducted. The emulators showed a 60‐fold speedup for the radiation processes and 84%–87% reduction of the total computation. In the ideal simulation, compared to the infrequent radiation scheme by 60 times, SNN improved forecast errors by 5.8%–14.1%, and SWA further increased these improvements by 18.2%–26.9%. In the real case simulation, SNN showed 8.8% and 4.7% improvements for longwave and shortwave (SW) fluxes compared to the infrequent method; however, these improvements decreased significantly after 5 days, resulting in 1.8% larger error for skin temperature. By contrast, SWA showed stable 1‐week forecast features with 12.6%, 8.0%, and 4.4% improvements in longwave and SW fluxes, and skin temperature, respectively. Although the use of two hidden layers showed the best performance in this study, it was thought that the optimal number of hidden layers could differ depending on the given problem. Compared to temperature and precipitation observations, all experiments showed a variability of error within 1%, implying that the operational use of the developed emulators is possible.
Effect of Different Planting Material, Planting Dates and Harvesting Dates on Economy of Turmeric Crop

A two year field experiment was conducted to study the effect of different planting material (Mother rhizome, primary and secondary finger), planting dates (April 25 th , May 10 th and May 25 th ) and harvesting dates (25 th January, 15 th February and 5 th March) on economy of turmeric crop to select the best combination under agro-climatic conditions of Punjab. The maximum yield (169.44 q/ha), gross return (1,69,440 Rs/ha) and net return (102474 Rs/ha) were obtained with mother rhizome planted on 25 th April and harvested on 5 th March. It is concluded that mother rhizome planting material gave maximum monetary profit over primary and secondary planting material combination treatments. In general, the planting date of 25 th April and harvesting date of 5 th March gave the highest yield (q/ha) gross return (Rs/ha) and net
Occupational Health Monitoring of Computer Numeric Controlled (CNC) Lathe Machinists Exposed to Metal Aerosols

Background: Metal working fluids (MWFs) sprayed through lathe machine operations in the air, are considered as hazardous chemical constituents of working room air. MWFs are detrimental for respiratory system and skin and are also suggested as a probable carcinogens. Materials and Methods: Occupational exposure of a representative group of lathe machine operators exposed to MWFs and a group of assembly workers without active exposure were monitored. Measurements of lung function parameters such as forced expiratory volume in one second (FEV 1), forced volume capacity (FVC) and FEV 1/FVC of exposed and control groups were obtained after cross-shift exposure to MWFs. Results: Exposure of the majority of lathe machine operators was in excess of the occupational exposure limit for MWFs in the range of 0.1-19.0 mg/m 3 with the mean of 8.51 and standard deviation of 2.80 mg/m 3 . Exposure of the control group (assembly workers) to MWFs was below the sensitivity of analytical method. Differences of predicted lung function parameters (FEV 1, FVC) between the exposed and the control population were significant (p<0.001). Correlation coefficient of lung function parameters of FEV 1 and FVC with cross-shift exposure was also significant (p<0.001). Conclusion: Considering occupational monitoring of lathe machine operators exposed to MWFs and depression of their lung function parameters, implementation of standard control measures along with periodic lung function monitoring should be done. (Tanaffos 2005; 4(16): 51-56)
Accuracy Optimization With the Framework of Non-Volatile Computing-In-Memory Systems

Computing-in-memory (CIM) is a new architecture which is more energy-efficient than the Von Neumann architecture due to the fact that it performs calculation in the memory units which can reduce a large amount of data movement. Nowadays, CIM with non-volatile memory (nvCIM), such as resistive random access memory (RRAM), has become a research frontier to further improve computing performance. Recent works mainly explored how to improve the computing performance of nvCIM, but seldom paid attention to the problem of accuracy loss. In this paper, we propose the nvCIM framework, which can systematically analyze the relationship between the classification accuracy of network models and main analog factors. Based on the nvCIM framework, we further provide detailed optimization methods, including RRAM features, array properties, and ADC parameters. The adaptive voltage-controlled SET and pulse-controlled RESET (VSPR) program-verify scheme is proposed to achieve high-resolution RRAM. And the margin enhancement based current-mode sense amplifier (MECSA) and offset reduction based analog-to-digital converter (ORADC) are proposed to improve the accuracy of analog part computing. Experimental results show that the macro-level and system-level energy efficiency is 112.1 TOPS/W and 9.86 TOPS/W respectively with less than 3.51% loss in contrast to the ideal accuracy, which is $2.9\times $ - $25.9\times $ compared to the energy efficiency of existing RRAM based nvCIM accelerators.
Microwave Band-Stop Filters with Narrow Stop Bands

In most microwave systems the signal frequency has to be transmitted and guided from one place to another with the minimum of attenuation, while guarding against unwanted frequencies by keeping them out with bandpass filters, which pass only the signal frequency. While the common types of bandpass filters do an adequate job for most applications, they suffer from some disadvantages in particular situations. It may, for instance, happen that some one interfering frequency is particularly strong and special measures have to be taken to suppress it; or that a limited number of frequencies are being generated in a frequency generator system, but these frequencies have to be kept apart and pure. In those cases, a bandpass filter, which discriminates against all frequencies outside the passband, will not be as efficient as one or more bands top filters which discriminate especially against the strongest unwanted frequencies,