Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative assessment of The Effect of Moringa oleifera Leaf Extract (MLE) and Zeatin on invitro Regeneration Response of Pogostemon cablin Bud Explants

: Patchouli is one of the essential oil-producing plants which is commonly found in Indonesia, but the productivity tends to decline. Tissue culture technology is one alternative to increase patchouli plant productivity. Tissue culture requires growth regulators in order for the plants to grow optimally. Moringa plants have the potential as a source of growth regulators for tissue culture because Moringa leaves contain the zeatin hormone. Therefore, a comparison test of various concentrations of the zeatin and the moringa leaf extract is needed to determine whether the Moringa leaf extract can be an alternative to the zeatin hormone. This study aimed to investigate the effect of Moringa leaf extract on the growth of patchouli bud explants. The study employed a complete random design (CRD) with the treatment of concentrations of Moringa leaf extract in MS media. Moringa leaf extract was given at 30 grams/L, 40 grams/L, and 50 grams/L, respectively. Meanwhile, the zeatin hormone was given at a concentration of 1.5 ppm, 2 ppm, and 2.5 ppm. Each treatment was repeated four times. Moringa leaves were extracted by maceration method, and patchouli explants were obtained from the 3rd sub-culture of patchouli shoots. From the research results, it can be concluded that (1) the use of Moringa leaf extract can improve the growth of patchouli explants, and (2) the use of 40 grams/L of Moringa leaf extract can be an alternative to substitute the use of 1.5 ppm zeatin hormone.
A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis

Flood is the major natural hazard in Malaysia in terms of populations affected, area extent, frequency, social–economic damage, and flood duration. This shows the importance of providing comprehensive and effective flood mitigation management, which requires government agencies to enhance their employment performance that involves technological innovation. A flood early warning and response system (FEWRS) is essential to ensure that all stakeholders receive the right information and are provided with necessary actions and response information to avoid loss of lives and property. It should have some effective usability features and success components of its strategic information access and display; existing FEWRS fail and often do not effectively provide information on flood disasters to reduce their impacts at a local level to save the population’s lives. The measurement of information system (IS) success remains a top concern for researchers, managers, and practitioners. Therefore, this study seeks to provide a systematic overview of the most successful model of employment-related technical advancement for the management of flood disasters to improve its employees’ performance. In addition, examined factors that affect the successful implementation of flood management approaches, based on a systematic literature review among IS, show interrelationship of success factors. Findings from the literature suggest that the DeLone and McLean (DM in total, 68% of the time, D&M has been applied either alone or extended in the information system domain. Additionally, 22% of the time it has been integrated with other theories.
Blast Waves and Fragment Velocities of Erythritol Tetranitrate

Erythritol tetranitrate (ETN) is a highly sensitive nitrate ester that has a molecular structure similar to nitroglycerine and pentaerythritol tetranitrate (PETN). In this study, experiments detonating 175 g of ETN were repeated three times to measure blast waves 0.6 m above the ground. TNT and PETN were also tested under the same conditions for comparison. The average peak overpressure of ETN was about 30 kPa at 3 m from the explosion center (5.4 m kg−1/3 scaled distance), which was much higher than that of TNT (about 22 kPa) and similar to PETN. The effects of the reflected wave from the ground appeared at greater distances of 5 and 7 m (8.9 and 12.5 m kg−1/3, respectively), as verified by the waveforms and high-speed camera images. Previous TNT data for peak overpressure vs. scaled distance were used to calculate the TNT equivalents for the experimental data, which revealed that ETN had a similar value to PETN. The fragment velocities of steel cylinders were measured, and that of ETN (1040 m s−1) was higher than that of TNT (957 m s−1) and lower than that of PETN (1260 m s−1). The Gurney constant for each explosive was obtained by using the initial fragment velocities.
Temporal optical besselon waves for high-repetition rate picosecond sources

We analyse the temporal properties of the optical pulse wave that is obtained by applying a discrete set of spectral π/2 phase shifts to continuous-wave light that is phase-modulated by a temporal sinusoidal wave. We develop an analytical model to describe this new optical waveform that we name ‘besselon’. We also discuss the reduction of sidelobes in the pulse intensity profiles by means of an additional spectral π phase shift, and show that the resulting pulses can be efficiently time-interleaved. The various predicted properties of the besselon are confirmed by experiments demonstrating the generation of low duty cycle, high-quality pulses at repetition rates up to 28 GHz.
Visual Programming Environments and Computational Thinking Performance of Fifth- and Sixth-Grade Students

Currently, many countries actively cultivate students to develop computational thinking ability. Many visual programming environments (VPEs) and physical robot courses have been integrated into computational thinking learning in the elementary education stage. This study explores the relationship between the programming learning environment (including VPE, physical robots, and no experience) and the computational thinking ability of higher-grade elementary school students of different genders. The results show that learning through VPE or physical robots can help students improve their computational thinking ability and that students learn better via physical robots. In addition, among the four dimensions of computational thinking ability, most students are weak in algorithm design. In terms of gender, no differences exist in computational thinking ability. Further analysis reveals that female students have better decomposition performance in VPE learning, while male students have better algorithm design performance.
Leveraging the Coupling of Radio Access Network and mmWave Backhaul Network: Modeling and Optimization

Capable of supporting the on-demand high-rate connection towards the core network, wireless millimeter wave (mmWave) backhaul becomes an appealing solution with the growing deployment of small cell base stations (BSs). However, the application of wireless backhaul would impose great limitations on the admission of BSs and the access rate, resulting in a tight coupling between backhaul and radio access network (RAN). In this light, we comprehensively investigate the performance of small cell networks (SCN) in terms of network spatial throughput (ST), supposing that backhaul is conveyed from gateways to BSs through mmWave links. Our results show that the coupling effect makes network ST in the RAN greatly dependent on gateway density $\lambda _{\mathrm{G}}$ and suffer exponential degradation with over-provision of backhaul. It manifests that, if excessive backhaul capacity is provided by deploying more gateways, the exacerbating BS-generated interference deteriorates spatial reuse gain, thereby degrading network ST. Thus, leveraging the coupling between backhaul and RAN, we further conduct a joint optimization of BS and gateway densities to improve network ST. Remarkably, the optimization could mitigate the dependence of network ST on $\lambda _{\mathrm{G}}$ and brings a 2-fold increase in network ST, which is inversely proportional to mmWave beamforming beamwidth.
Perceptions and Application of Learner Autonomy for Vocabulary Development in Saudi EFL Classrooms

This qualitative case study explored how female English language learners in the Kingdom of Saudi Arabia (KSA) realize learner autonomy, especially in the context of the learner’s meaning development via purposeful vocabulary acquisition. EFL students’ perceptions and applications of autonomous learning strategies for English vocabulary development were investigated, and their adapted methods for learning English. Data collection included face-to-face semi-structured interviews of 8 students from two different classrooms, classroom observations, participants’ reflection s on specific English coursework, and English learning autobiographies. The findings revealed the students’ appreciation of the English language showed how various autonomous learning methods developed their sense of self-possession, self-confidence, and learning outcomes. This study brings to light the necessity for further review of the role of EFL learners in developing the required skills for the English language. Contribution/Originality: This study contributes to the existing literature examining learner autonomy in English vocabulary learning in the Saudi context where English functions as a foreign language and theorize that vocabulary learning necessitates autonomous learning to self-select and self-apply vocabulary knowledge in various real-life settings.
Sustainable development goals: transportation, health and public policy

Purpose This study aims to assess and decompose the sustainable development using the 17 sustainable development goals (SDGs) in Iran in 2018, for proposing agenda-setting of public policy. Design/methodology/approach It ranks the SDGs not only in Iran but also in the region and the world to reveal the synergetic effects. Findings Based on the results, subaltern-populace generally suffers from the hegemonic domination of ruling elite-bourgeois, lack of strong institutions, heterogeneous policy networks and lack of advocacy role of non-governmental organizations, due to no transparency, issues in law or no rule of law, no stringent regulation, rent, suppression and Mafia, all leading to corruption and injustice. Practical implications To stop the loop of corruption-injustice, Iran should homogenize the structure of the policy network. Furthermore, the failed SDGs of the three-geographic analysis are the same in a character; all of them propose SDG 3, good health and well-being as a serious failed goal. Social implications In this regard, strong evidence is the pandemic Coronavirus, COVID 19 since 2019, due to its highly-disastrous consequences in early 2020 where the public policymakers could not adopt policies promptly in the glob, particularly in Iran. Originality/value In Iran, in addition to this, the malfunction of health is rooted in “subjective well-being” and “traffic deaths,” respectively. Concerning the transportations system in Iran, it is underscored that it is damaging the sustainable development from all the three pillars of sustainable development including, economic, social and environmental.
Spectrum of Anti-NMDA Receptor Antibody Encephalitis: Clinical Profile, Management and Outcomes

Background: Anti-N-methyl D-aspartate receptor (anti NMDAR) antibody encephalitis is an immune-mediated entity characterised by a constellation of neuro-psychiatric symptoms. Objective: To describe clinical profile and treatment outcomes of patients with anti NMDAR antibody encephalitis. Settings and Design: Subjects were selected by screening for all patients satisfying Graus et al.'s criteria for probable anti NMDAR antibody encephalitis, admitted in neurology department of a tertiary care centre in Eastern India. Materials and Methods: A prospective, longitudinal study was conducted by identifying 25 patients with anti NMDAR antibodies in CSF and or serum, between September 2018 to February 2020. Statistical Analysis: Chi square test was used to compare variables. Results: Out of 98 patients screened, 25 subjects (14 females: 11 male) were positive for anti NMDAR autoantibodies, with a mean age of 17 years. 13 subjects belonged to paediatric age group. Most common presenting feature was memory/learning deficit (88%) followed by behavioural abnormalities (84%) and seizures (68%). 11 patients (44%) patients needed escalation to second line therapy, rituximab. Seven (28%) and twelve (48%) patients underwent complete (mRS 0-1) and partial recovery (mRS 2-3) respectively, while 4 (16%) became disabled (mRS 4-5). Mortality was 8%. Paediatric population had a better outcome in terms of disability (p = 0.043). Conclusion: Anti NMDAR-Ab encephalitis is the most common cause of antibody positive autoimmune encephalitis worldwide. There are important clinical markers and investigational profiles which carry prognostic significance.
Collective labor relations and juridification: A marriage proposal

Contributing to debates over relations between the collective and juridified regulation of labor, this article analyzes a rich case study in the Israeli construction sector to claim that juridification can spur unions and employers’ associations to initiate strategic and inclusive change. By subsuming processes of juridification into traditional IR frameworks and embracing its logic and practices, the corporatist social partners broaden the relevance of collective labor relations to workers otherwise excluded from direct union representation. In this way, while not increasing union density or improving wages, these ‘traditional’ IR actors reassert their monopolistic control over worker and employer representation, as well as over the sectoral labor market.
Comparison of Selected Terramechanical Test Procedures and Cartographic Indices to Predict Rutting Caused by Machine Traffic during a Cut-to-Length Thinning Operation

Timber harvesting operations using heavy forest machinery frequently results in severe soil compaction and displacement, threatening sustainable forest management. An accurate prediction of trafficability, considering actual operating conditions, minimizes these impacts and can be facilitated by various predictive tools. Within this study, we validated the accuracy of four terramechanical parameters, including Cone Index (MPa, Penetrologger), penetration depth (cm, Penetrologger), cone penetration (cm blow−1, dual-mass dynamic cone penetrometer) and shear strength (kPa, vane meter), and additionally two cartographic indices (topographic wetness index and depth-to-water). Measurements applying the four terramechanical approaches were performed at 47 transects along newly assigned machine operating trails in two broadleaved dominated mixed stands. After the CTL thinning operation was completed, measurement results and cartographic indices were correlated against rut depth. Under the rather dry soil conditions (29 ± 9 vol%), total rut depth ranged between 2.2 and 11.6 cm, and was clearly predicted by rut depth after a single pass of the harvester, which was used for further validations. The results indicated the easy-to-measure penetration depth as the most accurate approach to predict rut depth, considering coefficients of correlation (rP = 0.44). Moreover, cone penetration (rP = 0.34) provided reliable results. Surprisingly, no response between rut depth and Cone Index was observed, although it is commonly used to assess trafficability. The relatively low moisture conditions probably inhibited a correlation between rutting and moisture content. Consistently, cartographic indices could not be used to predict rutting. Rut depth after the harvester pass was a reliable predictor for total rut depth after 2–5 passes (rP = 0.50). Rarely used parameters, such as cone penetration or shear strength, outcompeted the highly reputed Cone Index, emphasizing further investigations of applied tools.
Making and contesting far right sites of memory. A case study on Romania

Among the strategies followed by far right groups for normalising their messages of intolerance in contemporary Europe, sites of memory play a pivotal role. Adopting an actor-centred and instrumentalist perspective of memory work and memory politics, the article considers sites of memory as products of the framing and staging of the past by the memory entrepreneurs, leading figures within the community of remembrance who, mastering the art of memorialisation, strive to establish their revisionist history within the state-endorsed memory politics. The far right memory entrepreneurs spatialise their memory work in sites of memory that downplay the history of violence of their group and present its heroic and patriotic side. The degree of success in contesting such sites shows whether the memory entrepreneurs have succeeded in normalising their messages. The article analyses the making and the contestation of a site of memory established by the far right in post-communist in Romania.
The impact of brand love on brand loyalty: the moderating role of self-esteem, and social influences

Purpose The purpose of this paper is threefold. First, it aims to clarify the moderating role of self-esteem (SE) and susceptibility to normative influence (SNI) in the relationship between brand love and brand loyalty. Second, the study proposes modeling the mediation role of brand love and outlining how SE and SNI affect the consumer-brand relationship. Finally, the study explores the impact of brand love on brand loyalty: the moderating role of self-esteem and social influences, as the literature regarding this is still lacking. Design/methodology/approach Data were collected via an online survey, which yielded 218 responses. Structural equation modeling was used to predict the research model. Findings The findings indicate that both SE and SNI mediate the relationship between brand love and brand loyalty. Additionally, consumers love the focal brands positively relates to SE and SNI. In return, SE and SNI lead to brand loyalty. The tight relationship of SE and SNI affects the connection between brand love and brand loyalty. Research limitations/implications The data has been collected in Vietnam, which creates a limitation regarding the study’s cross-cultural nature and the economic context. Thus, the study should be conducted in different cultures and economies (both developing and developed countries) to enhance the generalizability in consumer-brand relationships. Practical implications Brand managers should conduct more advertising in brand communities to enhance the influence of SNI and emphasize unique features of the brands, to attract consumers through the overlap of SE. Social implications The findings can contribute to enhancing unique brand identity and self-motivation will increase consumer loyalty, increasing the revenue of a specific brand. Moreover, as acceptable peers contribute to making purchase decisions, boosting the brand community will maintain current consumers and attract additional potential consumers from the current consumer relationships. Originality/value This study contributes to consumer psychology by indicating both SNI and SE as the mediators in the relationship between brand love and brand loyalty and how the consumer-brand relationship can be enabled.
Demersal fish predators of gelatinous zooplankton in the Northeast Pacific Ocean

Historically, gelatinous zooplankton have been considered important consumers or predators in marine food webs, but more recently they have also been recognized as important prey for many marine species. Here, we summarized data obtained from >100 Northeast Pacific fish predators based on extensive gut content analysis (~450 000 stomachs examined) from broadscale demersal trawl surveys ranging from the Bering Sea to Southern California. In the Bering Sea, we identified 27 predators on jellyfish and 23 on urochordates. In the Aleutian Islands, 14 and 18 predators were identified, respectively, and for the Gulf of Alaska, a total of 23 and 32 such predators were documented. Off the West Coast of the contiguous USA, we identified 16 coelenterate predators and 7 urochordate predators. Many of these predators were not previously known to prey on gelatinous zooplankton. Dominant consumers of coelenterates include prowfish, rockfishes, walleye pollock, sablefish, and grenadiers, and primary consumers of urochordates included rockfishes, Atka mackerel, and sablefish. Pronounced seasonal and interannual variability in gelatinous taxa occurrence was observed in several dominant fish predators. The occurrence of jellyfish prey was generally much higher in diets of fishes examined fresh at sea when compared with diets of the same species examined in the laboratory following preservation. Differences in occurrence were less pronounced with the more durable urochordate prey. We suggest that many existing estimates of predation on easily dissolved gelatinous prey may underestimate the true predation rate and the importance of these organisms in marine food webs.
Behavioral Intention of e-Learning: A Case Study of Distance Learning at a Junior High School in Indonesia due to the COVID-19 Pandemic

The spread of COVID-19 caused schools that previously used only a face-to-face system to deliver instruction online from home, a method commonly called e-learning e-Learning is extremely beneficial in providing cost-effective education irrespective of time and geographical boundaries Despite the benefit of e-learning, there are many problems associated with its use in Indonesia Based on the results of research by Indonesian Child Protection Commission (KPAI), the application of e-learning in secondary schools in Indonesia is quite challenging There is currently an education gap between the able and disadvantaged groups in Indonesia currently created by e-learning This study aims to assess the behavior intention of e-learning at junior high schools in Jakarta and Tangerang, Indonesia, due to the impact of COVID19 The research model is based on the unified theory of acceptance and use of a technology framework The behavioral intention of performance expectation, effort expectancy, attitude, facilitating condition, social influence, and cost were examined Data were collected by administering questionnaires to respondents who studied at the junior high schools in Jakarta and Tangerang Data analysis was performed using structural equation modeling The results showed that the social influence of e-learning has a strong positive relationship with behavioral intention The findings of the study contribute to the understanding of behavioral beliefs about e-learning in Jakarta and Tangerang due to COVID-19 This contribution could be a reference for the government in improving the education system for e-learning during COVID-19 © 2021, International Journal of Technology All Rights RESERVED
Neural network within a Bayesian inference framework

In Bayesian inference, the likelihood functions are evaluated thousands of times. In this paper we explore the use of an Artificial Neural Network to learn how to calculate the likelihood function and thus speed up the Bayesian inference process. We test the performance of the neural network on a parameter estimation of the standard cosmological model and show that this method can reduce the computational time.