Miracle-dz/UniFAR-FTUs huggingface dataset:
Impacts of Atmospheric Pressure on the Annual Maximum of Monthly Sea-Levels in the Northeast Asian Marginal Seas

Monthly mean sea-levels have annual maxima in August in the northeast Asian marginal seas (NEAMS). Based on satellite altimetry data, the rising rate of the August NEAMS sea-level (ANS, 4.2 mm∙yr−1) is greater than those of the NEAMS (3.6 mm∙yr−1) and global (3.4 mm∙yr−1) annual mean sea-levels. Thus, the interannual variations of ANS are classified as relatively high (period H) and low (period L) years and have been analysed because of the high risk of sea-level fluctuation to the coastal regions in August. In period H, there are large atmospheric pressure gradients between the high pressure zone in the Kuroshio Extension (KE) and the low pressure zone in the west of Taiwan (WT). In period L, the atmospheric pressure gradients are small between the above-mentioned zones. Large atmospheric pressure gradients induce strong west-northwestward wind stresses and more Ekman transport from the northwest Pacific Ocean into the NEAMS. The correlation coefficient between August NEAMS sea-level index (ANSI), which is the difference of atmospheric pressure anomalies between the KE and the WT, and the August NEAMS sea-level anomaly (ANSA) is 0.73. Although there is a significant correlation (coefficient: 0.64) between ANSA and the East Asian summer monsoon index (EASMI), ANSI might be more useful in estimating the variability of ANSA.
Surface chemical reaction of laser ablated aluminum sample for detonation initiation

We explore the evolution of metal plasma generated by high laser irradiances and its effect on the surrounding air by using shadowgraph images after laser pulse termination; hence the formation of laser supported detonation and combustion processes has been investigated. The essence of the paper is in observing initiation of chemical reaction between ablated aluminum plasma and oxygen from air by inducing high power laser pulse (>1000 mJ/pulse) and conduct a quantitative comparison of chemically reactive laser initiated waves with the classical detonation of exploding aluminum (dust) cloud in air. Findings in this work may lead to a new method of initiating detonation from metal sample in its bulk form without the need of mixing nano-particles with oxygen for initiation.
The Role of Perceptual Simulation in L2 Vocabulary Acquisition

Research in embodied cognition suggests that perceptual simulation may play a role in language comprehension. In this study we use a combination of experimental and qualitative research to explore the potential of simulation exercises to improve acquisition of esoteric literary English vocabulary by English majors at a Chinese University. Through quantitative analysis of the data from one pre-test and two post-tests of the experimental and control groups, and qualitative examination of the student feedback collected from an open-ended survey and face-to-face interviews, we find that most of the students in both conditions have simulations of the learned words whether based on self-determined Chinese trigger words or given English language prompts to them, and skilled language learners intuitively adopt perceptual simulations. The research findings give teachers some enlightenment on the pedagogical strategies that might encourage less proficient learners to incorporate perceptual simulations in their study habits.
The Narrative of Ethnic Minority Children on Education in Central Java – Indonesia

Education is a significant narrative to develop society. Any developmental effort that targets local people should take into account the local education system in place, which has been passed on from one generation to another. Comprehending local children's narratives on education is crucial for formulating an education method that incorporates both formal educational principals and local educational practices. The central locus of this research is to explore how the children of Sikep -- an ethnic minority group in Indonesia that has a specific perspective on education and social values -- give meaning to the discourse of education. There are six informants in this study. They are Sikep children from Baturejo Village, Pati Regency, Indonesia. The research used in the study is an ethnographic approach made by employing qualitative interviews and observing the life of the Sikep community. The findings signify that the Sikep children have a specific narrative on education. Such narratives determine their interpretation of the education process in their daily lives. There are specific principles of learning held by the Sikep children such as the parents are the main teachers, learning agricultural works in their daily lives as a part of the hard-skills requirement, and practicing local values of morality and spirituality as soft skills. The narrative of the Sikep children on education suggests that school as a learning process in their daily lives cannot be replaced by the formal school. Hence, the education process which accommodates the local values is necessary to increase the Sikep children’s participation in formal school. Keywords: Children narrative, ethnography communication, ethnic minority, education , s ikep .
The community structure of beneficial and harmful arthropod fauna in rice field ecosysterms in lower Northern Thailand

Studies to understand the diversity of insect and spider species related to rice cultivation and determine their ecological guilds can provide information concerning the composition and structure of such ecosystems, which can be applied to integrated pest management. Herein, the purpose of this current survey was to monitor the community structure of beneficial and harmful arthropod including insects and spiders which inhabit rice paddy fields. Six major locations of rice-growing areas were selected in lower northern Thailand, including Nakhon Sawan, Phetchabun, Phichit, Phitsanulok, Sukhothai and Uttaradit provinces. In each survey site, six sampling plots of paddy field were chosen and insects and spiders were caught using sweeping nets at 20 times/sampling plot during 2017-2019. All samples were identified based on morphology. A total of 6,459 individuals of insects and spiders were collected, representing 102 species in 69 families and 11 orders. The rice paddies of Phitsanulok showed the highest species richness (73 species). In this regard, the species diversity ( H’ ) for all insects and spiders of all rice-growing areas was considered relatively high (3.038). Meanwhile, the Evenness (J’) and Simpson index ( 1-D) in all rice paddies from the pooled data set out in this survey were 0.765 and 0.919, respectively. Phichit ( H ’ = 3.234 ) showed the highest species diversity index, whereas Phetchabun and Sukhothai ( H ’ = 2.895 ) had the lowest levels of diversity. Significant differences in species diversity indeces of six rice-growing sites were detected (P < 0.05) in all comparisons. The insect order of Coleoptera had the highest recorded number of species (21 species or 20.59%). It was found that the insect pests namely, Edwardsiama hergmanni (F. Cicadellidae), Dyscinetus morator (F. Scarabaeidae) and Nilaparvata lugens (F. Delphacidae) were the dominant species. Meanwhile, Micraspis discolor ) F. C occin ellida e(, Agriocnemis pygmaea (F. Coenagrionidae) Oxyopes javanus (F. Oxyopidae), Temelucha philippinensis (F. Ichneumonidae), Tropobracon schoenobii (F. Braconidae) and Goniozus nr. triangulifer (F. Bethylidae) were mainly exhibited as natural enemies. Additionally, the distribution of insects and spiders was aggregated for all rice-planting areas, as indicated by the values of variance to mean ratio (S 2 / X ) and the index of aggregation ( Iδ ). This pattern could result in increase the efficiency of natural enemies for controlling those arthropod pests.
Green light drives photosynthesis in mosses

Temperate forests are characterised by variable light quality (i.e. spectral composition of light) at or near the forest floor. These understory environments have a high concentration of green light, as red and blue light are preferentially absorbed by upper canopy leaves. Understory species may be well-adapted for using green light to drive photosynthesis. Angiosperms have been shown to use green light for photosynthesis, but this ability has not been demonstrated in shade-dwelling bryophytes. In this study, net photosynthetic rate (PN) of three temperate understory species of moss (Dichodontium pellucidum (Hedw.) Schimp. , Leucobryum albidum (Brid. ex P.Beauv) Lindb. and Amblystegium serpens (Hedw.) Schimp. ) was measured under green, red + blue, and red + blue + green light to assess green light use efficiency. All three species were capable of photosynthesising beyond their respiratory demands using solely green light, with higher green light use efficiency measured in plants collected from areas with greater canopy cover, suggesting growth in a green light concentrated environment increases green light use efficiency. Each species was also collected from sites differing in their degree of canopy cover and grown under three light treatments (high light, low light, and green light). Photosynthetic efficiency (chlorophyll fluorescence), tissue nitrogen and carbon isotope concentrations were assessed after a short growth period. Growth conditions had little effect on leaf chemistry and monochromatic green light did not significantly degrade photosynthetic efficiency. This study provides the first evidence to date of positive net ‘green light photosynthesis’ in mosses.
Complete chloroplast genomes of E. umbellata Thunb., E. multiflora Thunb., E. macrophylla Thunb., and E. glabra Thunb. (Elaeagnaceae)

Abstract Elaeagnus is a genus which consists about 70 species of flowering plants in the family Elaeagnaceae, and its edible fruit is a natural product used as food and in traditional medicine. In this study, we sequenced the complete chloroplast (cp) genome of four species, namely Elaeagnus umbellate Thunb. , E. multiflora Thunb. , E. macrophylla Thunb. , and E. glabra Thunb. , to study their phylogenetic relationships within the Elaeagnaceae. Total lengths of the chloroplast genome were 152,261 bp, 152,267 bp, 152,224 bp, and 152,227 bp, respectively. The four genomes had representative quadripartite structures, with an LSC region (82,207 bp, 82,191 bp, 82,136 bp, and 82,139 bp) and an SSC region (18,262 bp, 18,282 bp,and 18,278 bp for both species) separated by a pair of IRs (25,896 bp, 25,897 bp, and 25,905 bp for the latter two species), respectively. Moreover, they were composed of 136–137 genes, including 88 protein-coding genes, 40–41 tRNA genes, and 8 rRNA genes. A maximum likelihood phylogenetic analysis indicated that E. umbellata was most closely related to E. multiflora, whereas E. macrophylla was close to E. glabra.
Fostering Healthy Mental, Emotional, and Behavioral Development Through Effective Implementation and Scale-Up

The evidence base around what causes mental, emotional, and behavioral disorders is substantial. Likewise, researchers have found methods for preventing and treating disorders, as well as for promoting healthy mental, emotional, and behavioral well-being. However, high rates of these disorders continue to persist in children and adolescents across the United States. A recent report from the National Academies of Sciences, Engineering, and Medicine entitled Fostering Healthy Mental, Emotional, and Behavioral Development in Children and Youth: A National Agenda explores updated research in epidemiology, risk and protective factors, effective strategies, and implementation science that will help diverse partners and stakeholders better support healthy mental, emotional, and behavioral development. This paper outlines the implementation science research related to programs detailed in the report and emphasizes the key components for successful intervention implementation and scale-up. It highlights the necessity of identifying core intervention components, as well as other factors such as community partnerships, implementation strategies, and the systems capacities necessary for increasing success and sustainability.
Study on the Thermal Performance and Temperature Distribution of Ball Bearings in the Traction Motor of a High-Speed EMU

The transient thermal performance of rolling bearings affects the mechanical performance and system safety of traction motors. Most of the traditional empirical formulas used in temperature analysis have been simplified and cannot be completely applied to the calculation of heat generation and convection heat transfer coefficients. Based on the comparative analysis of finite element transient temperature and experimental data, this paper proposes a correction method of mathematical model and derives an accurate calculation formula for the heat generation and lubricant convection heat transfer coefficient of ball bearings applicable for the non-driving end in the traction motor of a high-speed EMU (Electric Multiple Unit). The accuracy of the results has been verified by durability experiment data. In addition, with changes in speed, radial load and other factors taken into account, we have analyzed the influence of these time-varying factors on ball bearing temperature, as well as the temperature distribution law of each component in a grease-lubricated bearing, in a bid to lay a foundation for follow-up research on the heat transfer laws of traction motors and rolling bearings.
Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET

In a low-statistics PET imaging context, the positive bias in regions of low activity is a burning issue. To overcome this problem, algorithms without the built-in non-negativity constraint may be used. They allow negative voxels in the image to reduce, or even to cancel the bias. However, such algorithms increase the variance and are difficult to interpret since the resulting images contain negative activities, which do not hold a physical meaning when dealing with radioactive concentration. In this paper, a post-processing approach is proposed to remove these negative values while preserving the local mean activities. Its original idea is to transfer the value of each voxel with negative activity to its direct neighbors under the constraint of preserving the local means of the image. In that respect, the proposed approach is formalized as a linear programming problem with a specific symmetric structure, which makes it solvable in a very efficient way by a dual-simplex-like iterative algorithm. The relevance of the proposed approach is discussed on simulated and on experimental data. Acquired data from an yttrium-90 phantom show that on images produced by a non-constrained algorithm, a much lower variance in the cold area is obtained after the post-processing step, at the price of a slightly increased bias. More specifically, when compared with the classical OSEM algorithm, images are improved, both in terms of bias and of variance.
Influencer Marketing: An Exploratory Study to Identify Antecedents of Consumer Behavior of Millennial

Recent marketing trends indicate the rise of influencers as an extension of word of mouth campaigns. As consumers turn to social media platforms, organizations are realizing the power of influencers in affecting a purchase decision. The current study throws light on various aspects of influencer marketing that drive consumer behavior by using the theory of planned behavior (henceforth referred to as TPB) (Ajzen, 1991) and social learning theory by Bandura and Walters (1963) as part of the qualitative research to identify key factors of influencer marketing that impact consumer behavior. The study revealed that both attitude toward influencers and perceived behavior control that allows increase in domain knowledge had a favorable impact on consumer behavior while the influence of peers had no effect. Further additional constructs namely personal relevance, inspiration, and trust had a positive impact on behavior while perceived risk did not have any effect. Product influencer fitment was an important criterion for consumers, as they followed the specific type of influencers for different product categories. Depending on the posts shared by influencers, consumers are impacted at four levels: increase in brand awareness, subject matter expertise, brand preference, and preference. Successful influencer marketing involves identifying the right type of influencer who will offer curated advice, stories, and suggestions to create engagement with the audience.
Treatment of Childhood Functional Constipation: Comparison of Senna, Trimebutine and Lactulose

Amac: Cocukluk caginda kabizlik yaygin olup siklikla fonksiyoneldir. Cocuklarda fonksiyonel kabizlik tedavisinde kullanilan ilaclarla ilgili bilgiler sinirlidir. Amacimiz fonksiyonel kabizlik (FK) veya fonksiyonel fekal inkontinans (FFI) olan cocuklarda senna, trimebutin ve laktulozun etkinligini degerlendirmektir. Gerec ve Yontemler: Roma III kriterlerine gore fonksiyonel kabizlik (FK) veya fonksiyonel fekal inkontinans (FFI) tanisi koyulan, laktuloz (n=36), senna (n=29) ve trimebutin (n=33) tedavisi alan hastalar (2-18 yas) alindi. Hastalar semptomlariyla ilgili 0-5 Likert anket olcegini doldurdular. Diski kivami (DK) Bristol Diski Skalasina gore degerlendirildi. Tedaviye uyum, tolerans ve yan etkiler kaydedildi. Klinikteki duzelme (KD) degerlendirildi, farmakoekonomik inceleme yapildi. Bulgular: Senna grubundaki KD anlamli olcude yuksekti (p=0.036). Senna DK'da en fazla iyilesme sagladi (p<0.001) ve fekal inkontinansi azaltti (p=0.039). Karinda distansiyon, karin agrisi, bulanti/kusma ve anal fissur trimebutinle duzeldi (p<0.05). Senna ve trimebutin agrili defekasyonu ve diski tutmayi azaltti. Laktuloz istahsizlik ve anal fissuru iyilestirdi. Senna en fazla maliyet etkinligi olan ilacti. Tartisma: Kabizlik icin tedavi secenekleri agirlikli gorulen semptoma gore dizayn edilmelidir. Senna obesite ve/veya fekal inkontinans olan cocuklarda baslangic tedavisi olarak onerilebilecegi gibi, trimebutin karinda distansiyon, karin agrisi, bulanti/kusma veya anal fissur olanlarda, laktuloz istahsizlik veya anal fissur olanlarda ayri olarak secilebilir.
Design and Application of Experimental Teaching System Driven by Big Data Technology in Economics and Management Majors

This paper focuses on several issues resulting from the current widespread application of big data technology in teaching: the difficulties of managing and storing experimental data; the problem of data loss; the difficulty in quantifying teaching processes and feedback; and the lack of any basis for experimental teaching with regards to curriculum design. In response, this paper proposes a comprehensive system for experimental teaching and analyzes the key points of that system. It also expounds the functional planning and the technical routes of the system. This paper outlines a practical path to help the development of talent, teaching, and research by developing an experimental system for teaching economics and management in the context of big data.
Supplier Engagement in Sustainability Programs: A Field Experiment of Enabling Versus Coercive Formalization

Formal, compliance-focused governance for supply chain sustainability initiatives has a mixed empirical track record. We build on classic research on bureaucracy to examine how “enabling” and “coercive” formalization at the buyer–supplier interface affect attitudes, an important precursor to behavioral engagement. We conduct a randomized field experiment with the supplier community of a South African insurance company to directly compare treatment effects of enabling and coercive interventions. We report and discuss the enabling intervention’s positive attitudinal effects and the moderation of these effects by supplier characteristics. Our findings also reveal some notable null effects, especially from the coercive intervention. We believe this work contributes to a more nuanced understanding of formal governance choices in supply chains and their impact on supplier engagement.
Sleeping Duration, Bedtime and BMI and Their Rapport on Academic Performance among Adolescents

Background: Proper development of cognitive skills during childhood is substantially connected with adequate sleeping. Sleeping is drastically undergoing pattern changes during the shifting from childhood to adolescence. The academic acquisition is a multifactorial process with devastating inputs. Academic achievement directly correlates with the behavioral attitudes of students. Shorter sleeping duration erodes the volume of brain gray matter in frontal and precuneus cortex regions. Moreover, the concomitant depletion of neurotransmitters is proportionally connected with inadequate sleeping. Original Research Article Rayyan et al.; JPRI, 32(9): 8-18, 2020; Article no.JPRI. 57444 9 Aims: To evaluate the associations between bedtime initiations, sleeping sufficiency and objective academic performance in a large sample of second secondary students. Methods: The study sample consisted of 900 adolescents; 450boysand 450 girls in the second secondary class at Hail city in the Kingdom of Saudi Arabia. Participants filled a questioner about their socioeconomic factors as bedtime, sleeping duration, mental games practicing, and physical activity. Weight and height were measured to assess body mass index (kg/m 2 ). Data extracted from the questioner used to study the contribution of the concomitant factors on academic achievement. Results: The mean weight was 73.57±8.34 kg IQR (44-126) while the mean height was (170.38±6.45) cm IQR (141-192). The mean BMI was 33.57±14.79(IQR 21.0–38.8). The overall prevalence of childhood obesity was 460 (49.6%; 95% CI: 55.3–66.8%) while the prevalence of overweight was 85 (9.04%; 95% CI: 7.3 –11.4%). The mean ministry academic score for the second secondary class was 70±9.99 IQR (4499) while the school academic score was 88.07±7.44 IQR (60-99). 51.6% of the students went to bed between 10-12 pm and only 17.6% slept between 8 and 10 hours. Conclusion: We can summarize, the independent variables as bedtime, sleeping duration, and obesity ameliorate academic achievement in a counteractive way; high BMI above 35 and prolonged sleeping duration more than 10 hours significantly curb the total academic score, whereas, healthy bedtime of 8-10 pm concomitantly augment the academic achievement.
Deep chlorophyll maxima across a trophic state gradient: A case study in the Laurentian Great Lakes

Deep chlorophyll maxima (DCM) are common in stratified lakes and oceans, and phytoplankton growth within DCM often contributes significantly to total system production. Theory suggests that properties of DCM should be predictable by trophic state, with DCM becoming deeper, broader, and less productive with greater oligotrophy. However, rigorous tests of these expectations are lacking in freshwater systems. We use data generated by the U.S. EPA from 1996 to 2017, including in situ profile data for temperature, photosynthetically active radiation (PAR), chlorophyll, beam attenuation (cp), and dissolved oxygen (DO), to investigate patterns in DCM across lakes and over time. We consider trophic state, 1% PAR depth (z1%), thermal structure, and degree of photoacclimation as potential drivers of DCM characteristics. DCM depth and thickness generally increased while DCM chlorophyll concentration decreased with decreasing trophic state index (greater oligotrophy). The z1% was a stronger predictor of DCM depth than thermal structure. DCM in meso‐oligotrophic waters were closely aligned with maxima in cp and DO saturation, suggesting they are autotrophically productive. However, the depths of these maxima diverged in ultra‐oligotrophic waters, with DCM occurring deepest. This is likely a consequence of photoacclimation in high‐transparency waters, where cp can be a better proxy for phytoplankton biomass than chlorophyll. Our results are generally consistent with expectations from DCM theory, but they also identify specific gaps in our understanding of DCM in lakes, including the causes of multiple DCM, the importance of nutriclines, and the processes forming DCM at higher light levels than expected.