Miracle-dz/UniFAR-FTUs huggingface dataset:
Gerakan Kontra-Hegemoni Masyarakat Adat Mollo Kepada Negara Dalam Pemberitaan Project Multatuli

Project Multatuli merupakan sebuah media alternatif yang mengaku bergerak dengan landasan jurnalisme publik sehingga membuat mereka fokus menyuarakan suara kaum marginal. Salah satu kaum marginal yang mereka sorot ialah masyarakat adat Indonesia di mana mereka sering memiliki konflik serta mengalami ketidakadilan akibat dari kebijakan yang dibuat pemerintah Indonesia. Melalui produknya, yang salah satunya ialah serial artikel, Project Multatuli berusaha menyebarkan wacana alternatif terkait masyarakat adat sebagai tandingan dari wacana yang sudah kadung tertanam di benak masyarakat. Maka dari itu, penelitian ini pun dibuat untuk mencari tahu wacana di dalam salah satu artikel feature Project Multatuli yang mengangkat kisah Masyarakat Adat Mollo, Nusa Tenggara Timur dengan menggunakan metode Analisis Wacana Kritis model Norman Fairclough. Nantinya, teks akan dibedah melalui 3 dimensi yakni dimensi teks, discourse practice, dan sociocultural practice yang difokuskan untuk mencari aspek gerakan kontra-hegemoni yang mereka lakukan terhadap otoritas negara Indonesia.
Working Wives and House Wives Purchase Intensions of High Involvement and Low Involvement Products - A Study Based on Kolkata

Both working wives and housewives participate and influence the purchase decisions of high involvement and low involvement products in the family. But the influence level across product categories differs between them, as the working wives are financially independent and better educated compared to their counterpart. That is why in this study an attmpt has been made to find out whether the influence of working wives is higher compared to house wives in case of purchase decisions of high involvement and low involvement products and finally to suggest some marketing strategies to the marketers regarding how they can influence the purchase decisions of both working wives and house wives.
Bullying and mental health of adolescents in Nepal

Bullying is one of the common issues among children and adolescents, bearing significant implications on mental health and wellbeing. Although there are few studies, there remains a gap in the synthesized understanding of bullying and its link to the mental health of Nepalese adolescents. Hence, this narrative review has examined the literature centering on the prevalence and impact of bullying within the context of Nepalese adolescents. Although there was limited number of relevant articles, the findings from the review revealed that bullying is a widespread experience among Nepalese adolescents and is associated with several mental health challenges such as anxiety, depression, and tendencies towards self-harm and suicidal behavior. The review sheds light on the importance of addressing bullying in order to prevent psychological consequences and foster the mental health of adolescents in Nepal.
Data Assimilation in Marine Models

State of the art for nonlinear geophysical data assimilation in large state space models is the Ensemble Kalman Filter (EnKF). Significant contributions to the field in various applications have been made for smaller state spaces by the introduction of particle filters (PF). These contributions have all had to deal with the curse of dimensionality which particularly the PFs suffer from. The PF has found its successful application in small state space models of the order 101 for systems where strong nonlinear behavior with fast dynamics are encountered. Extending the size of the state space from 101 to 102 will in such systems deteriorate the predictability skill of the PFs and the importance weights will collapse. In this paper a new method is suggested. Localization of the importance sampling domain greatly improves the predictability of the PFs for increasing state space size. The method is demonstrated in the Lorenz system of 1995 which is a perfectly scalable and strongly nonlinear system. The predictability of the PFs is first shown to match the EnKF for small state spaces in order to benchmark the PFs for the considered model. Further, the predictability of the PFs is investigated with and without the new localization method for several state space sizes of the Lorenz system. The importance sampling localization clearly extends the predictability of the PF to larger state spaces.
A Virtual Reality Framework for Human-Driver Interaction Research: Safe and Cost-Effective Data Collection

The advancement of automated driving technology has led to new challenges in the interaction between automated vehicles and human road users. However, there is currently no complete theory that explains how human road users interact with vehicles, and studying them in real-world settings is often unsafe and time-consuming. This study proposes a 3D Virtual Reality (VR) framework for studying how pedestrians interact with human-driven vehicles. The framework uses VR technology to collect data in a safe and cost-effective way, and deep learning methods are used to predict pedestrian trajectories. Specifically, graph neural networks have been used to model pedestrian future trajectories and the probability of crossing the road. The results of this study show that the proposed framework can be for collecting high-quality data on pedestrian-vehicle interactions in a safe and efficient manner. The data can then be used to develop new theories of human-vehicle interaction and aid the Autonomous Vehicles research.
Age-associated DNA methylation changes with hypermethylation ELOVL2 and ZYG11A in dental samples: A pilot study

: The accuracy of age prediction based on physical appearance diminishes as body degradation occurs, prompting the suggestion of utilizing skeletal remains as an alternative method. Molecular studies investigating epigenetic responses have proposed the development of age prediction models. Certain studies focusing on teeth or bones have explored the correlation between DNA methylation and actual age. However, the inﬂuence of diverse ethnicities on DNA methylation levels poses a challenge to the generalizability of these models, limiting their applicability to speciﬁc populations of origin. This study aims to investigate the DNA methylation levels in teeth to construct an age prediction model. Teeth were collected from corpses, and the pyrosequencing technique was employed to measure the quantiﬁcation of DNA methylation levels on ELOVL2 , ZYG11A , and TRIM59 genes. Signiﬁcant correlations were observed between several methylated ELOVL2 , ZYG11A , and TRIM59 levels and actual age, and these correlations had not been reported before. A moderately positive linear relationship ( r value between 0.365–0.643) was constructed for age prediction. The performance of the predicted models was evaluated using Leave-One-Out Cross-Validation, indicating an approximate error of 11–13 years from the actual age. In conclusion, our ﬁndings provide preliminary data to the discovery of signiﬁcantly methylated genes for the construction of age prediction model for further study and the utilization of the DNA methylation-based approach for application in forensic aspect.
Alchemist: LLM-Aided End-User Development of Robot Applications

Large Language Models (LLMs) have the potential to catalyze a paradigm shift in end-user robot programming—moving from the conventional process of user specifying programming logic to an iterative, collaborative process in which the user speci � es desired program outcomes while LLM produces detailed speci � cations. We introduce a novel integrated development system, Alchemist , that leverages LLMs to empower end-users in creating, testing, and running robot programs using natural language inputs, aiming to reduce the required knowledge for developing robot applications.
Audiological Evaluation and Cochlear Reserve in Posterior Canal Benign Paroxysmal Positional Vertigo

Background: Benign paroxysmal positional vertigo (BPPV) is a peripheral vestibular disorder affecting the semicircular canal (SCC). It is important to determine the potential contribution of posterior canal BPPV (PC-BPPV) to function of cochlear outer hair cells, by application of Otoacoustic emission (DPOAE and TEOAE) and to investigate changes of pure tone audiometry (PTA) thresholds in patients suffering from PC-BPPV. Objective: This study aimed to assess the audiological and cochlear reserve in PC-BPPV. Patients and Methods: This prospective study involved twenty patients with PC-BPPV. All patients in this study were evaluated by the Dix Hallpike test. Basic audiological evaluations included pure tone audiometry (PTA), immittancemetry and otoacoustic emissions audiometry (OEA), which included transient-evoked otoacoustic emissions (TEOAE) and distortion product otoacoustic emissions (DPOAE). Results: There was a significant positive correlation between age and pure tone audiometry (PTA), which increased by increase of the age in the studied PC-BPPV patients. Also, there was a significant negative relationship only between DPOAE (1 KHz) and PTA (1 KHz) but DPOA at 2, 4, and 8 KHz revealed statistically non-significant difference at all other OAE PTA. Conclusion: We concluded that as the age increased, a statistically significant threshold increased at high frequencies (4000 to 8000 Hz) suggestive of presbycusis. Considering the correlation between PTA and DPOAE, we concluded that otoacoustic emissions could be a complementary modality for the detection and control of hearing abilities.
Early Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review

Cardiovascular diseases (CVDs) are significant health issues that result in high death rates globally. Early detection of cardiovascular events may lower the occurrence of acute myocardial infarction and reduce death rates in people with CVDs. Traditional data analysis is inadequate for managing multidimensional data related to the risk prediction of CVDs, heart attacks, medical image interpretations, therapeutic decision-making, and disease prognosis due to the complex pathological mechanisms and multiple factors involved. Artificial intelligence (AI) is a technology that utilizes advanced computer algorithms to extract information from large databases, and it has been integrated into the medical industry. AI methods have shown the ability to speed up the advancement of diagnosing and treating CVDs such as heart failure, atrial fibrillation, valvular heart disease, hypertrophic cardiomyopathy, congenital heart disease, and more. In clinical settings, AI has shown usefulness in diagnosing cardiovascular illness, improving the efficiency of supporting tools, stratifying and categorizing diseases, and predicting outcomes. Advanced AI algorithms have been intricately designed to analyze intricate relationships within extensive healthcare data, enabling them to tackle more intricate jobs compared to conventional approaches.
A comparison of machine learning functions for time-series prediction in buildings

This work undertakes a comprehensive comparison of RNNs and CNN-based ResNets for both multivariable day-ahead and annual predictions with specific focus on their application in buildings. This varied comparison of two types of nets under two types of prediction conditions documents and describes methods that will be impactful to building designers and operators. The comparison shows that both CNN-based ResNets and RNNs are suitable for short-term forecasting, however, the study establishes RNN’s strength in forecasting sequences. This has implications when trying to predict the short-term behavior of building systems. When the annual performance was estimated, CNN-ResNets showed a distinct advantage in accurately predicting the expected monthly minimum and maximum values. This result can contribute to better decision making in the design and planning process.
Implicación de los desulfovibrios en las diarreas hemorrágicas porcinas

espanolLas bacterias pertenecientes al genero “Desulfovibrio” son desconocidas dentro del campo de las enfermedades infecciosas de los animales domesticos. Sin embargo, en la medicina humana se aprecia que cada dia aumenta el numero de publicaciones que ponen de manifiesto su papel patogeno, especialmente en las personas de la tercera edad, en las que su sistema inmunitario se suele encontrar debilitado. Esta Tesis Doctoral pretende poner de manifiesto la participacion de los desulfovibrios en los procesos diarreicos que aparecen en el cerdo (tanto iberico como blanco). Los aislados fueron identificados mediante diversas pruebas bioquimicas y geneticas. El proceso se completo con la tecnica MALDI TOF MS. Asi mismo, se investigo la sensibilidad de las cepas a los antimicrobianos haciendo hincapie en el estudio de la produccion de beta-lactamasas. EnglishLittle is known about “Desulfovibrio” as an infectious pathogen of domestic animals. On the other hand, the reports of isolations of these bacteria in patients, especially elderly and other inmuno-depressed people have increase dramatically since recent years. This Doctoral Thesis pretends to highlight the participation of desulfovibrios in diarrheal processes appearing in pigs (both Iberian and white). Isolates were identified and characterized by various microbiological, biochemist and genetic procedures (MALDI TOF MS, for instance). Finally, the sensitivity of the strains to antimicrobial agents was investigated, emphasizing the study of beta-lactamase production.
Influence of Cryoextraction and Cold Pre-Fermentative Maceration on the Yeast Microbiota and the Volatile Compounds Profile of Sangiovese Wine

Low-temperature treatments can be applied to grapes or must before alcoholic fermentation to enhance the wine’s sensory characteristics. Several studies have shown that such practices have a positive effect on the polyphenol profile of the wine, but only a few surveys have examined the effect of these treatments on the yeast microbiota of grapes and wine. Therefore, this study aimed to evaluate how cryoextraction (freezing the grape with liquid nitrogen) and cold pre-fermentative maceration (at 5 °C for 48 h) affect the Saccharomyces and non-Saccharomyces populations during the winemaking process of red grapes, cv Sangiovese, conducted at two temperatures (20 and 30 °C). This research analyzed the concentration of various yeast species, their fermentation abilities, and the resulting wine’s aromatic profile. The Principal Component Analysis performed on yeast concentrations during the fermentations of various wines did not group the experimental wines based on treatment. However, the same groupings were highlighted when the concentrations of the volatile compounds, quantified in the experimental wines, were processed using the same statistical approach. Therefore, cryoextraction and cold pre-fermentative maceration seem to contribute less to the aromatic profile than the yeasts involved in the fermentation process.
Hyperglycemia in pregnancy did not worsen the short-term outcomes of very preterm infants: a propensity score matching study

Background Hyperglycemia in pregnancy (HGP) has generally been considered a risk factor associated with adverse outcomes in offspring, but its impact on the short-term outcomes of very preterm infants remains unclear. Methods A secondary analysis was performed based on clinical data collected prospectively from 28 hospitals in seven regions of China from September 2019 to December 2020. According to maternal HGP, all infants were divided into the HGP group or the non-HGP group. A propensity score matching analysis was used to adjust for confounding factors, including gestational age, twin or multiple births, sex, antenatal steroid administration, delivery mode and hypertensive disorders of pregnancy. The main complications and the short-term growth status during hospitalization were evaluated in the HGP and non-HGP groups. Results A total of 2,514 infants were eligible for analysis. After matching, there were 437 infants in the HGP group and 874 infants in the non-HGP group. There was no significant difference between the two groups in main complications including respiratory distress syndrome, bronchopulmonary dysplasia, necrotizing enterocolitis, retinopathy of prematurity, patent ductus arteriosus, culture positive sepsis, intraventricular hemorrhage, periventricular leukomalacia, anemia, feeding intolerance, metabolic bone disease of prematurity, or parenteral nutrition-associated cholestasis. The incidences of extrauterine growth retardation and increased growth retardation for weight and head circumference in the non-HGP group were all higher than those in the HGP group after matching (P < 0.05). Conclusions HGP did not worsen the short-term outcomes of the surviving very preterm infants, as it did not lead to a higher risk of the main neonatal complications, and the infants’ growth improved during hospitalization.
Penerapan Sistem Rekrutmen dan Seleksi Karyawan Pada PT. SYR Trio Jaya

Sumber daya manusia dianggap sebagai aset terpenting bagi pertumbuhan dan pencapaian tujuan perusahaan. Salah satu tahapan terpenting dalam manajemen SDM adalah proses rekrutmen dan seleksi karyawan, yang berperan penting dalam menentukan kualitas SDM di suatu perusahaan. Penelitian ini dilakukan dengan tujuan menerapkan sistem rekrutmen dan seleksi karyawan pada PT. SYR Trio Jaya. Metode penelitian yang digunakan mencakup observasi, wawancara, dan analisis dokumentasi. Hasil implementasi sistem ini mencakup perancangan flowchart untuk memberikan proses rekrutmen, serta pengembangan sistem penilaian wawancara yang bertujuan meningkatkan efektivitas dan efisiensi rekrutmen. Sistem ini juga dirancang untuk memberikan penilaian wawancara yang lebih obyektif, dengan harapan dapat meningkatkan kualitas tim kerja di perusahaan. Selain itu, implementasi ini diharapkan dapat memperbaiki pengelolaan data karyawan, menjadikannya lebih efisien dan terstruktur. Kesimpulannya, sistem yang diterapkan telah berhasil menjadi alat efektif dalam meningkatkan kualitas tim kerja serta proses manajemen SDM di PT. SYR Trio Jaya.
Radiation processing of polymers: The current status and prospects for the future

Radiation processing has been used for almost 50 years to improve both bulk and surface properties of polymer resins and formed components. This session will examine several specific applications of commercial radiation processing in depth. This presentation will provide background for this session. The radiation processing source may be an electron beam (EB) accelerator, which is a machine source of radiation, or a radioactive source such as Cobalt-60. However, EB accelerators, rather than a radioactive source, are generally used for commercial radiation modification of polymers since the dose rate is much higher, more efficient movement of the product in front of the radiation source is usually possible, and it is generally a more cost effective way of delivering dose to the product. The energy of the electron beam determines its depth of penetration into the product. For curing of thin coatings, a "low energy" beam, i.e. less than 1 MeV and often less than 300 keV, is satisfactory. However for thicker products, including bulk polymers in open trays or on continuous belts, a "medium energy" (i.e. 1 to 5 MeV) or a "high energy" beam (i.e. 5 to 10 MeV) would be required. The throughput of product that may be processed is directly proportional to the beam power of the accelerator and inversely proportional to the dose required for the particular application. In recent years high energy, high power accelerators have been introduced with energies up to 10 MeV and powers in excess of 500 kW, thereby allowing the cost-efficient processing of large volumes of relatively thick products. There are four fundamental radiation processes for polymers: 1. Cross-linking, where polymer chains are joined and a network is formed. Polymers that can be cross-linked by EB processing include polyethylene (PE), ethylene-vinyl acetate copolymers (EVA), butyl rubber, natural rubber and latex, polyvinylidene fluoride (PVdF), and many others. 2. Degradation, where the molecular weight of the polymer is reduced through chain scissioning. Some polymers that undergo degradation upon EB processing include polytetrafluoroethylene (PTFE), polypropylene (PP), celluosics, and natural cellulose. 3. Grafting, where a monomer is polymerized and grafted onto a polymer chain. Examples include grafting of acrylonitrile, maleic anhydride, acrylic acid and various acrylate monomers on PE and fluoropolymers. 4. Polymerization, where monomers are polymerized. Electron beam "curing" (as in the case of coatings or composites) is a combination of electron beam polymerization and cross-linking. Examples of electron beam curable monomers or oligomers include epoxies, acrylates, acrylamides, vinylpyrrolidone, and styrene. Careful selection of the radiation processing conditions can result in significant improvements to a material, including mechanical and thermal properties, melt properties, chemical resistance, particle size reduction, material compatibility, fire retardation, surface properties, and many others. It is applicable to both bulk polymer resins and formed polymer parts and components.
Dendrochronology and growth of Copaifera langsdorffii wood in the vegetation dynamics of the Pirapitinga Ecological Station, state of Minas Gerais, Brazil

This study aims to build a chronology of the growth rings of Copaifera langsdorffii (copaíba) in order to understand the dynamics of vegetation types that occur on a river island in the Cerrado biome. For this purpose, we selected 30 trees of copaíba established in a vegetation of Mata Seca Sempre-Verde in the Pirapitinga Ecological Station (EEP), state of Minas Gerais, Brazil. Two radial samples from each tree were collected by an auger. The samples were treated by mechanical polishing for better visualization of the growth rings, and consequently further delineation and measurement. Later, the width of the growth rings was verified in order to generate a master time series of the specie. To check the influence of meteorological factors, we used the Pearson correlation (p < 0.05). The results showed that the population of copaíba in the EEP presented dendrochronologyc potential, which was confirmed by the high values of wide growth rings correlation within and between trees. The dendrochronologyc analysis revealed that copaíba trees were already present before the dam filling, but with lower population density than today. It was also possible to infer that the development of the vegetation type Mata Seca Sempre-Verde occurred since the decade of the 1970. The average sensitivity was enough to consider the species sensitive to environmental variations. Precipitation and temperature only influenced positively the growth rings in the transition from dry to wet seasons. The results revealed information about the dynamics of the local vegetation, elucidating the changes that occurred in the environment in which the population of copaíba is established.