Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidence Model of Intestinal Helminthiasis Infections in Toddler with Nutritional Problems in Central Kupang District, Kupang Regency

The prevalence of nutritional problems for infants under 5 years of age (toddlers) in East Nusa Tenggara reaches 40.3%, the highest compared to other provinces in Indonesia. This figure is above the national nutritional problem prevalence of 29.6%. One of the factors that causes the nutritional status of children under five is an intestinal worm infection. The purpose of this study was to determine the incidence model of intestinal worm infection in children under five with nutritional problems in Central Kupang District, Kupang Regency. Quantitative research method with cross sectional study design. The sample size of this study is a total population of 80 children under five and the independent variables are environmental sanitation and personal hygiene and the dependent variable is malnutrition and low nutrition status. The data collection technique was carried out by weighing to determine the nutritional status and followed by fecal examination to identify worm eggs and analyzed by multiple logistic regression. The results showed that the incidence of intestinal worm infections was 42% of children under five with nutritional problems. The results of statistical tests showed that there was an effect of snacking habits p value = 0.024 and food storage p value = 0.033. The conclusion is that the incidence of intestinal worm infections in children under five with nutritional problems is influenced by eating habits and opened food storage.
Environmentally responsible behavior of residents in tourist destinations: the mediating role of psychological ownership

Abstract Environmentally responsible behavior (ERB) of residents contributes to sustainable tourism in a given tourist destination, and it is therefore important to explore the mechanisms that shape this behavior. As an integral part of the sustainable tourism framework, residents’ justice perception has been found to affect their attitude and behavior toward tourism. According to equity theory, perceived justice stimulates positive responses and actions; thus we hypothesized that residents’ perception of justice when participating in destination community tourism is a predictor of ERB. We further examined the mediating role of psychological ownership. Data were collected from 348 residents of three villages near Chengdu, China. We found that residents’ perceived justice significantly impacted their psychological ownership and ERB. In turn, psychological ownership mediated the relationship between perceived justice and ERB. Our results provide management insights for destination communities that could help to achieve sustainable tourism.
Dependence between oil price changes and sectoral stock returns in Pakistan: Evidence from a quantile regression approach

This study explores the dependence between changes in world crude oil prices and the performance of the Pakistan Stock Exchange, at the aggregate as well as sectoral levels for the period from July 1997 to December 2016. Quantile regression approach is employed for a detailed examination of the structure and degree of dependence for three sub-periods corresponding to normal, rising, and falling oil price periods. We found that the dependence between changes in crude oil price and the sectoral stock returns is heterogeneous across industries and it exists in both bullish and bearish market trends. The dependence at the upper and lower quantiles is found to be a common feature across industries. Moreover, the dependence and direction of the relationship change at times of structural breaks. The findings highlight an external channel through which fluctuations in stock returns may impede the liquidity of the stock market of an oil-importing country such as Pakistan, thereby affecting the domestic economy.
Lemon-YOLO: An efficient object detection method for lemons in the natural environment

Efﬁcient Intelligent detection is a key technology in automatic harvesting robots. However, citrus detection is still a challenging task because of varying illumination, random occlusion and colour similarity between fruits and leaves in natural conditions. In this paper, a detection method called Lemon-YOLO (L-YOLO) is proposed to improve the accuracy and real-time performance of lemon detection in the natural environment. The SE_ResGNet34 network is designed to replace DarkNet53 network in YOLOv3 algorithm as a new backbone of feature extraction. It can enhance the propagation of features, and needs less parameter, which helps to achieve higher accuracy and speed. Moreover, the SE_ResNet module is added to the detection block, to improve the quality of representations produced from the network by strengthening the convolutional features of channels. The experimental results show that the proposed L-YOLO has an average accuracy(AP) of 96.28% and a detection speed of 106 frames per second (FPS) on the lemon test set, which is 5.68% and 28 FPS higher than the YOLOv3, respectively. The results indicate that the L-YOLO method has superior detection performance. It can recognize and locate lemons in the natural environment more efﬁciently, providing technical support for the machine’s picking lemon and other fruits.
Ovarian cancer classification using K-Nearest Neighbor and Support Vector Machine

Ovarian cancer is one of the common malignancies in women and a known cause of death. This condition occurs when a tumor appears from the growth of abnormal cells in the ovary. It causes about 140.000 deaths out of 225.000 cases annually. Most women with ovarian cancer do not have distinctive signs and symptoms even at the late stage. Therefore, diagnosis at an early stage is necessary because it has a significant impact on the survival rate. Machine learning with various methods can be used in the medical field to classify diseases. Among the many methods, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were used and analyzed in this study to classify ovarian cancer. The data used were from Al Islam Bandung Hospital consisting of 203 instances with 130 labeled ovarian cancer and 73 as non-ovarian. The results showed that the KNN produced higher results than SVM with 90.47% of accuracy and 94.11% of F1-score, while SVM produced accuracy and F1-score values of 90.47% and 92.30% respectively.
Hydrogen-terminated diamond MESFETs: operating principles, static and dynamic performance, and reliability

In this paper, we review the operating principles of hydrogen-terminated diamond MESFETs for high power and high frequency applications. Thanks to the transfer of electrons from the diamond valence band to the hydrogen termination a mobile hole channel is formed, leading to p-MOS operation. The resulting transistor shows good static performance, when the low technology readiness level of these devices is taken into account, owing to the excellent properties of diamond as a semiconductor. The dynamic performance is analyzed by means of quick ID-VD and ID-VG measurements carried out during a filling phase in off-state and on-state, and the corresponding recovery is monitored by the same measurements at different ambient temperatures. This measurement procedure allows for the extraction of the emission time constant and for the creation of the Arrhenius plot of the deep level involved, showing an activation energy of 0.30 eV. The short-term reliability of the devices is investigated by means of step-stress experiments in on-state condition. The degradation causes an increase in the on-resistance, a negative shift in the threshold voltage and a decrease in the peak transconductance value. The correlation between the variation in the electrical parameters and in the results of the dynamic characterization suggests that the degradation is caused by an increase in concentration of the aforementioned deep level, taking place both in the region below the gate and in the access region. A reduction in hole transfer efficiency can also be present, taking place at very high stress voltage.
Coherent structures in the wake of a long wall-mounted rectangular prism at large incident angles

High-resolution direct numerical simulations are conducted to analyze the flow dynamics of a wall-mounted rectangular prism with a high depth-ratio at different incidence angles. The results demonstrated that changing the incidence angle leads to the creation of transient helical structures in the wake of the prism. The characteristic length and dominant frequencies associated with the unsteady flow are determined, and the origin of different peak frequencies are identified. Finally, a skeleton model is established for the unsteady wake of the prism.
Correlation study of soil test on phosphorus in ultisol soil for shallots (Allium ascalonicum l.)

The research objective was to determine the best soil P extraction method for shallot plants in Ultisols. This study used a single location approach. The selected location was in Kentrong village, Malangsari Village, Cipanas, Lebak, Banten Province. The research was conducted from March 2015 to May 2016, consisting of two stages, namely the creation of P nutrient status and correlation testing through planting in polybags in a greenhouse. Preparation of soil P nutrient status using phosphoric acid (H3PO4) from very low to very high (0X, 1 / 4X, 1 / 2X, 3 / 4X, and X), where X is half of the maximum absorption of 1033.3 kg P ha−1 . Fertilizer P was incubated for three months, then taking soil samples in each plot for analysis of soil P content. Soil P content analysis used five different extraction methods, namely Bray I (0.025 N HCl + 0.03 N NH4F solution), Bray II (NH4F 0.03 N + HCl 0.10 N), Mehlich I (0.0125 M H2SO4 + 0.05 M HCl), Morgan Wolf (NaC2H2H3O2.3H2O; pH 4.8), and Truog (0.02 N H2SO4 + (NH4) 2SO4). The planting of shallots in polybags was carried out in the greenhouse of Jakarta Assessment Institute for Agricultural Technology, using a completely randomized design (CRD), with five replications. The results showed that the best soil P nutrient extraction method for shallot plants in Ultisols was the Truog method with a correlation coefficient of 0.77 and 0.84 for the correlation between soil P content and relative yields of plant dry weight and the correlation between soil P content and Uptake P. The results of this study can be used to determine recommendations for P fertilization on shallots in an Ultisol soil.
A progressive extirpation: an overview of the fossil record of Salamandrina (Salamandridae, Urodela)

ABSTRACT Salamandrina is the only extant representative of the Salamandrininae, characterised by a unique suite of morphological, ecological, and ethological features. The Salamandrina species are endemic of Italy, although their past distribution included different areas of Europe. Fossil remains belonging to this genus were previously described from the Miocene of Hungary, Mio-Pliocene transition of Greece, and Pliocene of Sardinia. The fossil record of this genus is herein expanded, with detailed descriptions of pre-caudal and caudal vertebrae from the Miocene of Germany (Petersbuch), Greece (Ano Metochi), Sardinia (Oschiri), and Spain (La Gloria, La Roma, Masada Ruea, Puente Minero), and the Pleistocene of Italy (Montagnola Senese). Otic-occipitum complexes and limb elements referred to Salamandrina are also described from the Miocene of La Roma (Spain). All these remains are referred to Salamandrina sp. , given that identification at the species level of the retrieved skeletal elements is not possible. Nevertheless, the fossil record clearly indicates that the current range of this genus is the result of a prolonged extirpation process that ultimately led to the significant shrinkage of the original range or, at least apparently, to a late dispersal into the Italian Peninsula.
Accelerating progress on sustainable development goals: Assessing secondary school students’ knowledge of climate change actions

The youth plays significant role in realising the sustainable development goals (SDGs). What young people know about the SDGs and how to engage with the SDGs can contribute significantly to the realisation of the SDGs within the shortest possible time. Specifically, climate change is central to the SDGs because of its substantial nexus with economic, social and environmental outcomes for all regions of the world. Thus, this study investigates climate change awareness among secondary school students to guide climate change mitigation strategies and practices among young people for the attainment of the SDGs. The study adopts a qualitative research approach using content analysis of the essays on climate change written and presented by students of different secondary schools in Ota, Nigeria. The analysis reveals, among other things, that the students are knowledgeable about climate change and that their schools are the most prevalent source of climate change knowledge. The most-reported climate change effect from the essays include: rise in global temperatures, melting of ice, flooding, rise in sea level, drought, extinction of terrestrial and marine life and health challenges. Common mitigation strategies suggested by the students entail awareness, tree planting, use of low carbon vehicles, use of energy-saving bulbs, reduction of carbon emissions, and recycling of waste. With adequate climate change knowledge and mitigation strategies, many young people can contribute and engage practically with the climate change discourse, thereby improving the climate change statistics in their regions and accelerating progress on the SDGs.
COMPUTATION OF BLOOD FLOWS ACCOUNTING FOR RED-BLOOD CELL AGGREGATION/FRAGMENTATION

This article presents flows computed in non-trivial geometries while accounting for the contribution of the red cells to the Cauchy stress using the haemorheological model of Owens (2006), Owens and Fang (2006). In this model the local shear viscosity is determined in terms of both the local shear rate and the average rouleau size, with the latter being the solution of an advection-reaction equation. The model describes the viscoelastic, shear-thinning and hysteretic behaviour of flowing blood, and includes non-local effects in the determination of the blood viscosity and stresses. We present numerical results for a two dimensional aneurytic channel under both steady and pulsatile flow conditions. We compare the flows for two sets of physiologically relevant Reynolds and Deborah numbers. A 3-D flow in a section of a patientspecific carotid artery is also presented.
The impact of Covid-19 pandemic on MSMEs

The Covid-19 pandemic that began to spread at the beginning of 2020 has greatly affected the economy, including firms’ financial conditions. In this respect, micro, small, and medium enterprises (MSMEs) likely experience greater negative effects of the Covid-19 pandemic than large firms due to their limited resources. Hence, this study aims to analyze the impact of Covid-19 on MSMEs’ performance in former Pekalongan Residency, as measured by the sales turnover, labor, and business cash flow resilience. The analysis is based on the survey results of 100 MSMEs in the Pekalongan former regency. The findings suggest that MSMEs have suffered a sales turnover decrease of 1.2573 percent. Further, the mapping analysis using the Cartesian diagram demonstrates that the retail and food and beverage provision sectors exhibit the greatest labor decrease and average business cash flow resilience of 1.5 – 2 months. Meanwhile, based on firm size, micro firms have average cash resilience of 1.5 – 2 months.
Drainage Canals in Southeast Asian Peatlands Increase Carbon Emissions

Drainage canals associated with logging and agriculture dry out organic soils in tropical peatlands, thereby threatening the viability of long‐term carbon stores due to increased emissions from decomposition, fire, and fluvial transport. In Southeast Asian peatlands, which have experienced decades of land use change, the exact extent and spatial distribution of drainage canals are unknown. This has prevented regional‐scale investigation of the relationships between drainage, land use, and carbon emissions. Here, we create the first regional map of drainage canals using high resolution satellite imagery and a convolutional neural network. We find that drainage is widespread—occurring in at least 65% of peatlands and across all land use types. Although previous estimates of peatland carbon emissions have relied on land use as a proxy for drainage, our maps show substantial variation in drainage density within land use types. Subsidence rates are 3.2 times larger in intensively drained areas than in non‐drained areas, highlighting the central role of drainage in mediating peat subsidence. Accounting for drainage canals was found to improve a subsidence prediction model by 30%, suggesting that canals contain information about subsidence not captured by land use alone. Thus, our data set can be used to improve subsidence and associated carbon emissions predictions in peatlands, and to target areas for hydrologic restoration.
Evaluation of the Quality of Aerial Links in Low-Power Wireless Sensor Networks

A wireless sensor network (WSN) assisted by Unmanned Aerial Vehicles (UAVs) can be used to monitor various phenomena in remote, extensive, inaccessible, or dangerous places. The WSN on the ground can provide close-to-the-scene sensing, in-network data processing, and multi-hop communication. The UAVs can interface the ground network with a remote control station or facilitate fast and flexible data collection. To this end, the aerial links established between the UAVs and the WSN are critical. The reliability of the links depends on many factors, including Cross Technology Interference (CTI), the relative distance of the UAVs from the ground nodes, the drive quality of the UAVs, and noise. In this paper, we present experimental results addressing some of these issues. Our experiments consisted of eleven IEEE 802.15. 4 compliant transceivers, nine of which were deployed on the ground in a grid topology with a further two being attached to a UAV. From careful examination of traces extracted from received packets we concluded that CTI is the most significant factor affecting the quality of aerial links. Our observations have application for deployment related decision-making and for the design of UAV-assisted data collection protocols.
Exploration of Intersectionality and Computer Science Demographics

Although computing occupations have some of the greatest projected growth rates, there remains a deficit of graduates in these fields. The struggle to engage enough students to meet demands is particularly pronounced for groups already underrepresented in computing, specifically, individuals that self-identify as a woman, or as Black, Hispanic/Latinx, or Native American. Prior studies have begun to examine issues surrounding engagement and retention, but more understanding is needed to close the gap, and to broaden participation. In this research, we provide quantitative evidence from the Multiple-Institution Database for Investigating Engineering Longitudinal Development—a longitudinal, multi-institutional database to describe participation trends of marginalized groups in computer science. Using descriptive statistics, we present the enrollment and graduation rates for those situated at the intersection of race/ethnicity and gender between 1987 and 2018. In this work, we observed periods of significant flux for Black men and women, and White women in particular, and consistently low participation of Hispanic/Latinx and Native American men and women, and Asian women. To provide framing for the evident peaks and valleys in participation, we applied historical context analysis to describe the political, economic, and social factors and events that may have impacted each group. These results put a spotlight on populations largely overlooked in statistical work and have the potential to inform educators, administrators, and researchers about how enrollments and graduation rates have changed over time in computing fields. In addition, they offer insight into potential causes for the vicissitudes, to encourage more equal access for all students going forward.
Scaling of turbulence intensities up to 
Reτ=106
 with a resolvent-based quasilinear approximation

Scaling of near-wall turbulence intensities has been a subject of many investigations over several decades. Emerging evidence suggests that the near-wall streamwise turbulence intensity may not precisely depend on the logarithm of the friction Reynolds number, challenging the scaling obtained with Towsend's attached eddy model. Here, we present new mathematical evidence that it is instead proportional to the inverse of the outer velocity scale using a novel quasilinear approximation made to the Navier-Stokes equations.
Learnability problems in the acquisition of the manner-of-motion verbs in L2 English by L1 Spanish speakers

In English the construction, ? John ran into the house? has got a reading of directionality whereas in Spanish the same construction has got a locational reading. The fact is that in English those verbs known as manner -of-motion can appear with a Prepositional Phrase that express a goal (goal PP) in contrast in Spanish those constructions like ? John ran into the house? express a locative reading, and to express a directional goal, Spanish requires to use a different construction such as ? John entered the house running? These two differences do cause learnability problems when Spanish speakers are learning English as a Second language . Previous studies revealed that languages like Japanese, which behaves similarly as Spanish do transfer properties of their L1, Japanese, when learning the directional goals in L2 English (Inagaki, 2002), also the Korean learners of English face the same situation as Spanish speakers and Japanese speakers (Zubizarreta and Oh, 2007). Linguists agree that those problems can be analyzed using the so well- known typology classification of languages. This typology is known as verbal framed typology and the satellite framed typology which was proposed by Talmy (2000). Following this typology, we conducted a research in order to see if Spanish speakers do acquire the English typology to express directionality with the conflation of manner of motion verbs and goal PPs. It was hypothesized that Spanish speakers will initially transfer properties of their L1 and then will attain the correct grammar of the English language as their proficiency interlanguage grammars increase. Using a Picture Matching Task proposed by Stringer (2012) that was administered to 62 participants attending the Bachelor Degree in English Language at UNACAR, those participants were divided according to the results of a Placement Test in English into three main groups: elementary (n= 27), intermediate (n= 15) and advanced (n=20). Results show that Spanish speakers, even at an elementary level, select the directional reading of the conflation pattern studied here. It seems that the input the participants receive in the classroom environment trigger the right choice of the conflation to express directionality in a correct way in L2 English.