Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Digital Technology on Indonesian Micro Companies’ Financial Performance

Developments in the business sector is intricately linked with advancements of the information technology. Consequently, entrepreneurs are anticipated to utilise the advancements provided by this technology. This study aims to assess the effects of the integration between financial technology (fintech) and accounting information system (AIS) software on the financial performance of micro, small, and medium enterprises (MSMEs). This study investigated 511 MSMEs situated in different areas of Indonesia that employ technology and digitalization in their manufacturing operations. The data was gathered through questionnaires via Google Forms and the utilisation of purposive sampling technique. This study uses PLS-SEM (Partial Least Squares Structure Equation Model) for its analysis. The findings suggest that the utilisation of fintech and AIS software greatly enhances the financial performance of MSMEs. The findings of this study will give advantages to MSMEs as they expand their operations, considering the significance of digital technology in the business sphere which require entrepreneurs, particularly those from the millennial cohort, to augment their digital literacy.
Finite Element Modeling of Vertical Penetration of Offshore Pipelines Using Coupled Eulerian Lagrangian Approach

Subsea pipelines are the preferred mode of transporting hydrocarbon in both shallow and deep water. In deepwater, pipelines are usually laid on the seabed. A portion of the pipe diameter penetrates into the soft clay seabed because of the effects of several factors including wave action and vessel motions during installation and pipeline self weight. Embedment of pipeline has a major influence on lateral buckling and thermal expansion during operation. Conventional finite element method in Lagrangian framework cannot be used to model such large deformation behavior as occurs in subsea pipeline penetration. In this study, finite element analyses using Coupled Eulerain Lagrangian technique is presented. The pipeline has been modeled in Lagrangian and the soil has been modeled in Eulerain framework. Comparison with centrifuge test results is also presented.
The Causal Effect of Age at Migration on Youth Educational Attainment

We investigate the causal effect of age at migration on subsequent educational attainment in the destination country. To identify the causal effect we compare the educational attainment of siblings at age 21, exploiting the fact that they typically migrate at different ages within a given family. We consider several education outcomes conditional on family fixed effects. We take advantage of long running and detailed data from the German Socio-Economic Panel, which entails an oversample of immigrants and provides information on language skills. We find significant effects of age at migration on educational attainment and a critical age of migration around age 6. The educational attainment of female immigrants responds more strongly to a high age at immigration than that of males. Also, language skills do not appear to be central for the causal connection between age at migration and educational attainment.
Release of urea from cellulosic hydrogel coated urea granule: Modeling effect of crosslink density and pH triggering

ABSTRACT Urea granules were coated with CMC-g-cl-PAA hydrogel by in situ spraying and polymerization technique with mean thickness of 0.24 mm. Water absorption capacity of hydrogel coated urea granules varied from 18.67 to 217.33 g/g depending on pH. Urea release was extended due to hydrogel coating and kinetic analysis at different pH (4.0, 7.0 and 9.2) revealed a sigmoid function as best fit model. The coated urea granules showed pH triggered release property with higher rate in alkaline medium and slower in acidic medium. The prepared hydrogel coated urea granules may find its application in integrated water and nutrient management strategies in agriculture. Graphical Abstract
Swell and Wind Wave Inversion Using a Single Very High Frequency (VHF) Radar

A hybrid, empirical radar wave inversion technique that treats swell and wind waves separately is presented and evaluated using a single 48-MHz radar unit and in situ wave measurements. This hybrid approach greatly reduces errors in radar wave inversion during swell seas. Our analysis suggests that, prior to the inversion, the second-order spectrum should be normalized using Barrick’s weighting function because this process removes harmonic and corner reflection peaks from the inversion and improves the results. In addition, the resulting calibration constants for the wind wave component are not wave-frequency dependent and are similar in magnitude to those found in previous studies using different operating-frequency radars. This result suggests radar frequency independence, although additional experimental verification is required. The swell component of the model presented here ignores the effect of swell’s propagation direction on the radar signal. Although this approach has several limitations and may only be useful near the coast (where swell propagates close to perpendicular to the coastline), the resulting wave inversion is accurate even when swell is propagating close to perpendicular to the radar beam direction. RMS differences relative to in situ wave height measurements range from 0.16 to 0.25 m as the radar beam angle increases from 22° to 56°.
Mapeamento do Saldo de Radiação da Bacia do Alto Rio Negro, Região Sul Brasileira

The upper Rio Negro watershed (3454 km) is located between the Santa Catarina Northern Plateau and the First Plateau of Paraná. The study of mass and energy fluxes between the surface and the atmosphere allows the analysis of the influence of land-uses on the climate of the region. Hence, the objective of the present study was to map net radiation using the Surface Energy Balance Algorithm for Land (SEBAL), in the upper Rio Negro watershed, using Advanced Spaceborne Thermal and Emission Radiometer (ASTER) images. These images have refined spatial resolution in the visible, near-infrared and thermalinfrared regions (15 m, 30 and 90 m, respectively). The SEBAL was applied with climatic data from a ground station and five ASTER images, two dated April 13th and three dated April 22th, 2006. For the net radiation analysis, land use type polygons (representative samples) were selected. The water had the highest mean Rn value (610 Wm). Dense vegetation areas resulted in high Rn values (532 Wm for reforestation and 526 Wm for native forest), dark bare soil (498 Wm). Agriculture and pasture had intermediate Rn values of 444 Wm and 451 Wm. The lowest mean values were observed for light bare soil and urban areas (404 and 429 Wm, respectively), corresponding to areas with the higher energy losses by reflection and emission. Key-words: net radiation, SEBAL, ASTER, land use, upper Rio Negro watershed.
Giant Axonal Neuropathy: A Case Report of Subclinical Childhood Manifestations

Giant axonal neuropathy (GAN) is a rare, inherited neurodegenerative disease that affects both the central and peripheral nervous systems. It is mostly characterized by a progressive loss of motor and sensory function, which can begin in early childhood. GAN is thought to be caused by a mutation in the GAN gene on chromosome 16q24.1. We report a seven-year-old Saudi male child with GAN who was diagnosed using whole-exome sequencing. The child presented with a history of progressive weakness and muscle wasting in the arms and legs as well as difficulty walking. The sequencing identified a mutation in the GAN gene (NM_022041.3: c.1456G>A). Electrodiagnostic studies showed evidence of diffuse axonal motor and sensory polyneuropathy involving cranial nerves. This case report adds to the growing evidence that whole-exome sequencing can be a useful tool for diagnosing rare inherited neuromuscular disorders. It also highlights the importance of early diagnosis and intervention for this condition.
Socio-Demographic Characteristics of Patients That Received Tuberculosis Care at a Tertiary Health Facility in Nigeria: A Retrospective Study

Background: Tuberculosis is one of the top 10 causes of death worldwide and the leading cause of death from a single infectious agent. The World Health Organization estimates that about a third of the world’s population is infected with mycobacterium tuberculosis and that about 16-20 million are suffering from the disease. The study aimed to determine the socio-demographic characteristics of patients treated for Tuberculosis at a tertiary health facility in Nigeria and to find the differences in socio-demographic characteristics based on their place of residence. Methods: The study was a 5-year retrospective cohort study (2018-2022) of all Tuberculosis cases treated at the chest and TB clinic of Enugu State University Teaching Hospital Park Lane Enugu, Nigeria. All the patients that received TB treatment within the 5 year period were included for the study. Results: The mean age was 38.91±17.39. Most of the cases were in the 30-39 year age group (24.8%). About 2/3 of them were males (61.9%) and urban dwellers (65.0%). Most had secondary education (46.2%) and traders (27.5%). About half of them were married (51.6%) while almost all were Igbos (95.4%). Educational level (p<0.001), occupation (p<0.001) and ethnicity (p=0.021) were significantly associated with place of residence. Conclusion: We conclude that Tuberculosis is a disease of young adults and common among males than females. Place of residence, educational level, occupation and ethnicity were important factors in the prevalence of tuberculosis. Efforts should be focused on these identified socio-demographic characteristics for effective control of tuberculosis. Key words: Tuberculosis, Nigeria, Socio-demographic characteristics, Tertiary health facility, Enugu State
The relationship between depression, anxiety, and cardiovascular outcomes in patients with acute coronary syndromes

: Depression and anxiety occur at high rates among patients suffering an acute coronary syndrome (ACS). Both depressive symptoms and anxiety appear to adversely affect in-hospital and long term cardiac outcomes of post-ACS patients, independent of traditional risk factors. Despite their high prevalence and serious impact, mood and anxiety symptoms go unrecognized and untreated in most ACS patients and such symptoms (rather than being transient reactions to ACS) persist for months and beyond. The mechanisms by which depression and anxiety are linked to these negative medical outcomes are likely a combination of the effects of these conditions on inflammation, catecholamines, heart rate variability, and endothelial function, along with effects on health-promoting behavior. Fortunately, standard treatments for these disorders appear to be safe, well-tolerated and efficacious in this population; indeed, selective serotonin reuptake inhibitors may actually improve cardiac outcomes. Future research goals include gaining a better understanding of the combined effects of depression and anxiety, as well as definitive prospective studies of the impact of treatment on cardiac outcomes. Clinically, protocols that allow for efficient and systematic screening, evaluation, and treatment for depression and anxiety in cardiac patients are critical to help patients avoid the devastating effects of these illnesses on quality of
Common genetic risk for Parkinson's disease and dysfunction of the endo-lysosomal system

Parkinson's disease is a progressive neurological disorder, characterized by prominent movement dysfunction. The past two decades have seen a rapid expansion of our understanding of the genetic basis of Parkinson's, initially through the identification of monogenic forms and, more recently, through genome-wide association studies identifying common risk variants. Intriguingly, a number of cellular pathways have emerged from these analysis as playing central roles in the aetiopathogenesis of Parkinson's. In this review, the impact of data deriving from genome-wide analyses for Parkinson's upon our functional understanding of the disease will be examined, with a particular focus on examples of endo-lysosomal and mitochondrial dysfunction. The challenges of moving from a genetic to a functional understanding of common risk variants for Parkinson's will be discussed, with a final consideration of the current state of the genetic architecture of the disorder. This article is part of a discussion meeting issue ‘Understanding the endo-lysosomal network in neurodegeneration’.
Vitamin D3: A promising antifungal and antibiofilm agent against Candida species

Background and Purpose: Candida species are opportunistic fungal pathogens that cause mild to life-threatening infections in both immunocompetent and immunocompromised populations. The increasing prevalence of drug-resistant Candida species has posed a significant challenge to the management of infections in clinical settings. Therefore, this study aimed to investigate the direct antifungal and antibiofilm effect of vitamin D3 against Candida species. Materials and Methods: The antifungal activity of vitamin D3 was evaluated by broth microdilution method based on the Clinical and Laboratory Standard Institute. Prevention of biofilm formation by Candida albicans was measured using the XTT assay following exposure to different concentrations of vitamin D3. Moreover, expression of Agglutinin-like sequence gene 1 (ALS1), hyphal wall protein gene (HWP1), secreted aspartyl proteinase 6 gene (SAP6), and morphogenesis pathway regulatory gene (EFG1) were analyzed by real-time polymerase chain reaction using the comparative Ct method (ΔΔ Ct) after exposure to vitamin D3. Results: Vitamin D3 showed antifungal activity against Candida species ranging from 1-128 μg/mL. Furthermore, vitamin D3 inhibited biofilm formation in a dose-dependent manner, with IC50 of 7.5 μg/mL. Treatment with vitamin D3 resulted in significant upregulation of the EFG1, ALS1, and SAP6 genes under hypha-inducing conditions to overcome environmental challenges. Conclusion: Results of the current study demonstrated that vitamin D3 has a significant inhibitory effect on Candida growth and biofilm formation. Considering its demonstrated antifungal and antibiofilm properties, vitamin D3 holds promise as a potential agent for medical applications.
Neoproterozoic eclogitic metamorphic age of the Beishan edogite of Gansu, China .Evidence from SHRIMP U-Pb isotope dating

The Beishan orogen is located at the junction between the Tarim-Sino-Korean and Kazakhstan plates, and its main orogenic event occurred in the Early Paleozoic. Eclogites are associated with ultramafic-mafic rocks and collisional granites in the south belt of the Beishan orogen, which suggests that this belt might represent a plate boundary. SHRIMP U-Pb isotope dating of zircons from the Beishan eclogite yielded an eclogite- facies metamorphic age of 819±21 Ma and a protolith age of 1007±20 Ma, indicating an important plate breakup and subduction-collision event in the Neoproterozoic. Recently an event of Neoproterozoic plate breakup and ophiolitic oceanic crust formation has also been reported in the North Qaidam marginal area in the southern Qilian Mountains adjacent to the Beishan, suggesting the occurrence of a regional breakup event in a Neoproterozoic oceanic basin in western China, which is called the Rodinian Supercontinent breakup event. However, it should be emphasized that the eclogitic -facies metamorphism in the Beishan took place in the Neoproterozoic, while that for the North Qaidam marginal eclogite occurred in the Early Paleozoic (500-440 Ma) though its protolith is the Neoproterozoic oceanic crustal rock, suggesting another subduction-collision event after the Neoproterozoic subduction-collision event in the Beishan.
Parasites of the Antarctic toothfish (Dissostichus mawsoni Norman, 1937) (Perciformes, Nototheniidae) in the Pacific sector of the Antarctic

The Antarctic toothfish (Dissostichus mawsoni Norman, 1937) is one of the main target species of commercial fisheries in the Antarctic. It is an endemic and is found along the shelf of Antarctica, as well as on the slopes of seamounts, underwater elevations and islands in the sub-Antarctic. It feeds on a variety of fish and cephalopods and can be an intermediate/paratenic host of some helminthes, whose final hosts are whales, seals, large rays and sharks. This article presents new data on toothfish infection in the Pacific sector of the Antarctic. Specimens were examined during commercial longline fishing in the Ross Sea and the Amundsen Sea in January–February 2013. Fourteen species of parasites were found using standard parasitological methods and genetic analysis.
A contribution to exchange rate forecasting based on machine learning techniques

El proposit d'aquesta tesi es examinar les aportacions a l'estudi de la prediccio de la taxa de canvi basada en l'us de tecniques d'aprenentatge automatic. Aquestes aportacions es veuen facilitades i millorades per l'us de variables economiques, indicadors tecnics i variables de tipus ‘business and consumer survey’. Aquesta investigacio s’organitza entorn d’una recopilacio de quatre articles. L'objectiu de cadascun dels quatre treballs de recerca d'aquesta tesi es el de contribuir a l'avanc del coneixement sobre els efectes i mecanismes mitjancant els quals l'us de variables economiques, indicadors tecnics, variables de tipus ‘business and consumer survey’, i la seleccio dels parametres de models predictius son capacos de millorar les prediccions de la taxa de canvi. Fent us d'una tecnica de prediccio no lineal, el primer article d'aquesta tesi es centra majoritariament en l'impacte que tenen l'us de variables economiques i la seleccio dels parametres dels models en les prediccions de la taxa de canvi per a dos paisos. L'ultim experiment d'aquest primer article fa us de la taxa de canvi del periode anterior i d'indicadors economics com a variables d'entrada en els models predictius. El segon article d'aquesta tesi analitza com la combinacio de mitjanes mobils, variables de tipus ‘business and consumer survey’ i la seleccio dels parametres dels models milloren les prediccions del canvi per a dos paisos. A diferencia del primer article, aquest segon treball de recerca afegeix mitjanes mobils i variables de tipus ‘business and consumer survey’ com a variables d'entrada en els models predictius, i descarta l'us de variables economiques. Un dels objectius d'aquest segon article es determinar el possible impacte de les variables de tipus ‘business and consumer survey’ en les taxes de canvi. El tercer article d'aquesta tesi te els mateixos objectius que el segon, pero amb l'excepcio que l'analisi abasta les taxes de canvi de set paisos. El quart article de la tesi compta amb els mateixos objectius que l'article anterior, pero amb la diferencia que fa us d'un sol indicador tecnic. En general, l'enfocament d'aquesta tesi preten examinar diferents alternatives per a millorar les prediccions del tipus de canvi a traves de l'us de maquines de suport vectorial. Una combinacio de variables i la seleccio dels parametres dels models predictius ajudaran a aconseguir aquest proposit.
Self-organizing pedestrian movement; Environment and Planning B

Although pedestrians have individual preferences, aims, and destinations, the dynamics of pedestrian crowds is surprisingly predictable. Pedestrians can move freely only at small pedestrian densities. Otherwise their motion is affected by repulsive interactions with other pedestrians, giving rise to self-organization phenomena. Examples of the resulting patterns of motion are separate lanes of uniform walking direction in crowds of oppositely moving pedestrians or oscillations of the passing direction at bottlenecks. If pedestrians leave footprints on deformable ground (for example, in green spaces such as public parks) this additionally causes attractive interactions which are mediated by modifications of their environment. In such cases, systems of pedestrian trails will evolve over time. The corresponding computer simulations are a valuable tool for developing optimized pedestrian facilities and way systems.
FAKTOR-FAKTOR YANG MEMENGARUHI CAPAIAN LITERASI MATEMATIKA SISWA INDONESIA DALAM PISA 2012

In order to obtain information on the quality of education and the system education that are underway in various countries, it is conducted international studies called Programme for International Student Assessment (PISA). This study aims to determine the factors that affect student background of literacy mathematics achievement by PISA 2012. The study population was 15 years old Indonesian student. Samples were 5622 students of 15 year old students spread across 31 provinces. The sampling and data collection is determined by PISA in 2012 with a random sampling conducted by multilevel, clustering, and stratified. PISA data collection instruments consist of test capabilities (learning achievement) and questionnaires. The results showed that the factors that affect literacy mathematics achievement of PISA 2012 are the background from internal factors such as the personal character (discipline) of the student and external factors such as the condition of the family, ownerships of the means of learning, and social and cultural conditions at home. The study concluded that character, socio-economic and cultural conditions, computer ownership, and text book are the main factors that affect Indonesian students’ mathematics literacy achievement of PISA 2012. ABSTRAK Kajian ini bertujuan untuk mengetahui faktor-faktor latar belakang yang memengaruhi capaian literasi Matematika siswa Indonesia yang menjadi peserta studi PISA 2012. Populasi penelitian adalah siswa Indonesia yang berusia 15 tahun. Sampel penelitian yakni siswa berusia 15 tahun sebanyak 5.622 orang yang tersebar di 31 provinsi. Penentuan sampel dan pengambilan data ditentukan oleh PISA tahun 2012, dengan teknik random sampling yang dilakukan dengan cara multilevel, clustering, dan stratified. Hasil penelitian menunjukkan bahwa faktor-faktor yang memengaruhi prestasi siswa Indonesia pada studi PISA 2012 yaitu latar belakang peserta dari faktor internal yaitu jati diri siswa dan faktor eksternal yaitu kondisi keluarga, kepemilikan sarana belajar, dan kondisi sosial budaya di rumah. Penelitian menyimpulkan bahwa jati diri, kondisi sosial ekonomi dan budaya, kepemilikan komputer, dan buku-buku merupakan faktor utama yang memengaruhi capaian literasi matematika siswa Indonesia peserta PISA 2012.