Miracle-dz/UniFAR-FTUs huggingface dataset:
Glimpsing Indonesia’s Social Media Discourse: What Goes on During the Covid-19 Infodemic

The COVID-19 pandemic has led to an "infodemic", of false and true information circulating on social media platforms. This phenomenon has posed various challenges in implementing disaster management programs to mitigate the effects of the pandemic, both globally and specifically in Indonesia. This study seeks to investigate the public's perception of social media discourse during the COVID-19 infodemic in Indonesia. Both primary and secondary data were collected to gain a comprehensive understanding of the issue. The primary data was collected through a focused group discussion (FGD) method. Meanwhile, secondary data sources were gathered using a literature review of scholarly articles. Approximately 60 articles were selected from sources such as Google Scholar and PubMed, published between 2019 and 2022. The articles were selected based on their relevance of the topic discussion. The study used Critical Discourse Analysis by Fairclough and Wodak (1997) to analyze the data. Both of the data were then synthesized to glimpse how the infodemic has impacted various disaster management efforts across various parts of the country. The results revealed that the infodemic has worsened public perceptions of how the Indonesian government handles COVID-19 as well as disrupting various disaster management processes. The study finds that the infodemic's impact on the public's perception has resulted in misinformation hampering effective pandemic management efforts. By recognizing the severity of the infodemic and working to combat it, Indonesia can more effectively manage the COVID-19 pandemic and minimize its negative impact on the public.
The Study on Extracting of Water Body from MODIS Image Using an Improved Linear Mixture Model

Improved linear mixture model was applied to extract water body based on MODIS reflectance images.The DEM and temperature data acquired from SRTM and MODIS were used to correct the result affected by shade and other factors.Finally,the accuracy of the result and performance of the algorithm were assessed using ETM+ images.It was indicated that the details of the river can be well revealed in the result;at the same time the impact of shade can be corrected,and the final result has a high accuracy.
The Prevalence of Depression and Its Correlates Among Informal Caregivers of Stroke Patients in an Urban Community

Introduction Stroke emerges as a prominent causative factor contributing to severe disability and functional limitations, necessitating a reliance on familial support for daily activities and participation in social engagements. Following hospital discharge, a considerable proportion of stroke survivors require comprehensive assistance, including physical, psychosocial, and financial support from caregivers within domestic settings. This transitional phase represents one of the most challenging periods for families. The reciprocal dynamics between stroke survivors and their caregivers are not only evident in the context of the caregiving process but also extend to their communal interactions. The disability and depressive symptomatology encountered by stroke survivors significantly impact the overall quality of life, both for the survivors themselves and for their caregivers. This study aims to determine the prevalence of depression among informal caregivers of stroke patients in Malaysia's urban setting, specifically in the University Malaya Medical Centre (UMMC), and examine the predicting associated factors and their relationship with the caregiver burden. Methods A cross-sectional study involving 54 informal caregivers was conducted via face-to-face and phone interviews with all informal caregivers of stroke patients who were attending outpatient specialist rehabilitation clinics, wards, and therapy areas at the UMMC. Patient Health Questionnaire-9 (PHQ-9) and Zarit Burden Interview-22 (ZBI-22) were used to determine the presence of depression and caregiver burden respectively. After conducting descriptive analysis, bivariate analysis was done using Chi-square, Fisher's exact, or Mann-Whitney U test. Multivariate analysis was then conducted using logistic regression. Results The overall prevalence of depression among informal caregivers of stroke patients was 18.5%. The prevalence of depression among female informal caregivers and caregivers who had been giving care for more than six months was 21% (n = 8) and 9.1% (n=3). Caregivers who provided care for more than six months, taking care of stroke patients who were diagnosed more than six months and had moderate to severe care burden were positively associated with depression. Conclusion Our study found the prevalence of depression among informal caregivers was high. Depression among caregivers was associated with giving care for more than six months, providing care for stroke patients who were diagnosed more than six months, and those with moderate to severe care burden. Therefore, screening for depression should focus on informal caregivers with patients using wheelchairs and higher care burdens.
Preliminary performance analysis of a LGS system for GTC

The Gran Telescopio Canarias (GTC) Adaptive Optics (AO) system, designed to work with Natural Guide Stars (NGS), is in its laboratory integration phase. The upgrade for the operation with a Laser Guide Star (LGS) has been approved, and the design of the LGS Facility is going to start. Hereafter we analyse the performance of a LGS AO system taking into account the GTC characteristics and error budget. Two scenarios are studied: launching the laser from the centre of the telescope aperture behind the secondary (on axis) and launching from the side of the primary mirror (off axis). The simulations have been performed using the Fractal Iterative Method (FrIM), a fast-reconstruction algorithm, with the parameters of the GTC for the telescope, the atmospheric profiles of the Observatorio del Roque de Los Muchachos (ORM), and data from the laser star unit developed by ESO.
Formation of 13C/12C Isotope Ratios in Speleothems: A Semi-Dynamic Model

A theoretical approach towards predicting the carbon isotope composition of carbonate cave deposits is presented. The proposed model simulates time variations of both the chemical and isotopic composition of the carbonate solution and deposited calcite in the course of CaCO3 precipitation. Two phases of the precipitation process are distinguished and treated separately: initial outgassing of the solution until a certain degree of supersaturation of CO3 2- ions is reached and subsequent precipitation of CaCO3 related to further outgassing. Precipitation rates of CaCO3 predicted by the model agree fairly well with literature data. The model predicts δ13C values of deposited calcite within a range of ca −16 to +3‰ depending on temperature, chemical and isotope parameters of the initial solution and actual degree of the precipitation process.
Evaluation of Malware Classification Models for Heterogeneous Data

Machine learning (ML) has found widespread application in various domains. Additionally, ML-based techniques have been employed to address security issues in technology, with numerous studies showcasing their potential and effectiveness in tackling security problems. Over the years, ML methods for identifying malicious software have been developed across various security domains. However, recent research has highlighted the susceptibility of ML models to small input perturbations, known as adversarial examples, which can significantly alter model predictions. While prior studies on adversarial examples primarily focused on ML models for image processing, they have progressively extended to other applications, including security. Interestingly, adversarial attacks have proven to be particularly effective in the realm of malware classification. This study aims to explore the transparency of malware classification and develop an explanation method for malware classifiers. The challenge at hand is more complex than those associated with explainable AI for homogeneous data due to the intricate data structure of malware compared to traditional image datasets. The research revealed that existing explanations fall short in interpreting heterogeneous data. Our employed methods demonstrated that current malware detectors, despite high classification accuracy, may provide a misleading sense of security and measuring classification accuracy is insufficient for validating detectors.
Enhanced 3D Capture for Room-sized Dynamic Scenes with Commodity Depth Cameras

MINGSONG DOU: ENHANCED 3D CAPTURE FOR ROOM-SIZED DYNAMIC SCENES WITH COMMODITY DEPTH CAMERAS. (Under the direction of Henry Fuchs .) 3D reconstruction of dynamic scenes can find many applications in areas such as virtual/augmented reality, 3D telepresence and 3D animation, while it is challenging to achieve a complete and high quality reconstruction due to the sensor noise and occlusions in the scene. This dissertation demonstrates our efforts toward building a 3D capture system for room-sized dynamic environments. A key observation is that reconstruction insufficiency (e.g., incompleteness and noise) can be mitigated by accumulating data from multiple frames. In dynamic environments, dropouts in 3D reconstruction generally do not consistently appear in the same locations. Thus, accumulation of the captured 3D data over time can fill in the missing fragments. Reconstruction noise is reduced as well. The first piece of the system builds 3D models for room-scale static scenes with one handheld depth sensor, where we use plane features, in addition to image salient points, for robust pairwise matching and bundle adjustment over the whole data sequence. In the second piece of the system, we designed a robust non-rigid matching algorithm that considers both dense point alignment and color similarity, so that the data sequence for a continuously deforming object captured by multiple depth sensors can be aligned together and fused into a high quality 3D model. We further extend this work for deformable object scanning with a single depth sensor. To deal with the drift problem, we designed a dense
Assessing Service Quality in Passport Application Mobile Apps(M-Paspor) and its Influence on User Satisfaction

Technological advances in this era can support public services to serve the public more quickly and responsively. One of the electronic public services used by citizens in Indonesia is the application for a passport. After launching to the public in early 2022, the mobile app M-Paspor is still experiencing some obstacles. This study aims to get recommendations for government consideration based on public experience as users of the M-Paspor application. This study integrates the e-Govqual model initiated by Papadomichelaki & Mentzas and End User Computing Satisfaction by Doll & Tork Zadeh. Six dimensions are used: ease of use, trust, functionality of the interaction environment, reliability, content and appearance of information, and citizen support. With the questionnaire distributed through social media, we analyzed data from 111 respondents. We conducted an analysis using SmartPLS to validate the survey. The result implied that Citizen Support, Functionality of the Interaction Environment, and Reliability significantly influence End User Computing Satisfaction of M-Paspor users
Intracorporeal versus extracorporeal anastomosis in minimally invasive right hemicolectomy: systematic review and meta-analysis of randomized controlled trials

Purpose Compared with extracorporeal anastomosis (ECA), intracorporeal anastomosis (ICA) is expected to provide some benefits, including a shorter operation time and less intraoperative bleeding. Nevertheless, the benefits of ICA have mainly been evaluated in nonrandomized studies. Owing to the recent update of randomized controlled trials (RCTs) for minimally invasive surgery (MIS) of right hemicolectomy (RHC), the need to measure the actual effect by synthesizing the outcomes of these studies has emerged. Methods We performed a comprehensive search of the PubMed, Embase, and Cochrane databases (from inception to January 30, 2023) for studies that applied ICA and ECA for RHC with MIS. We included 7 RCTs. The operation time, intraoperative blood loss, conversion rate, length of incision, and postoperative outcomes such as ileus, anastomosis leakage, length of hospitalization, and postoperative pain were compared between ICA and ECA. Results A total of 740 patients were included in the study. Among them, 377 and 373 underwent ICA and ECA, respectively. There were significant differences in age (P = 0.003) and incision type (P < 0.001) between ICA and ECA. ICA was associated with a significantly longer operation time (P = 0.033). Although the postoperative pain associated with ICA was significantly lower than that associated with ECA on postoperative day 2 (POD 2) (P = 0.003), it was not different on POD 3 between the groups. Other perioperative outcomes were similar between the 2 groups. Conclusion In this meta-analysis, ICA did not significantly improve short-term outcomes compared to ECA; other advantages to overcome ICA’s longer operation time are not clear.
Pre-eruptive volatile contents of Vesuvius magmas: constraints on eruptive history and behavior. I - The medieval and modern interplinian activities

The eruptive history of Mt. Vesuvius is characterized by a large variation in eruptive styles during the last 2000 years. As part of an extensive investigation on the pre-eruptive magma geochemistry, we have analyzed, by EMPA and SIMS, silicate melt inclusions (MI), hosted in clinopyroxene phenocrysts, to gain insight into the eruptive processes and history of this significant magmatic system. The rock samples analyzed are lavas and scoriae erupted during two intervals of interplinian volcanic activity: 472 to 1139 A.D. and 1631 to 1944 A.D. The compositions of MI from samples of the modern and medieval periods are consistent with petrological and geochemical evidence of melt evolution via fractional crystallization. Although fractional crystallization played a decisive role in the evolution of medieval and modern magmas, other processes may also have been active. In MI from the medieval eruptive products, the fixed Cl contents, and relationships involving other elements soluble in aqueous volatile phases ( e.g. H 2 O, S, B, Be, Li) indicate crystallization of magmatic vapor-phase-saturated silicate melt(s). Conversely, MI from the modern eruptive activity are characterized by linear increases in the abundances of Cl, SO 2 , and K 2 O in fractions of residual melt. Furthermore, no evidence was found that volatile abundances were fixed or buffered by the presence of an aqueous vapor (or liquid), which is consistent with fractional crystallization of a magma under volatile-phase-absent conditions. The modern and medieval periods, separated by the violent 1631 eruption, exhibit dramatically different eruptive behavior. The medieval magmas erupted less often, but with comparatively greater violence, which may have been facilitated by the presence of a pre-eruptive volatile phase in magma. The modern magmas erupted more frequently and in a relatively passive manner, which is consistent with the absence of textural or geochemical evidence for fluid saturation before eruption.
Estimating Average End-to-End Delays in IEEE 802.11 Multihop Wireless Networks

: In this paper, we present a new analytic model for evaluating average end-to-end delay in IEEE 802.11 multihop wireless networks. Our model gives closed expressions for the end-to-end delay in function of arrivals and service time patterns. Each node is modeled as a M/M/1/K queue from which we can derive expressions for service time via queueing theory. By combining this delay evaluation with diﬀerent admission controls, we design a protocol called DEAN (Delay Estimation in Ad hoc Networks). DEAN is able to provide delay guarantees for QoS applications in function of the application level requirements. Through extensive simulations, we compare performance evaluation of DEAN with other approaches like, for instance, DDA.
Contribution of Ethnic Material Culture to Household Socio-economic Agricultural Enterprises in Kanoni and Engari-sya Sub- counties of Kiruhura District, S.W. Uganda

The main objective of the study was to analyze the contribution of ethnic material culture in household socio-economic agricultural enterprises in Kanoni and Engari-sya sub-counties in Kiruhura district, S.W. Uganda despite the fact that government promotes modern agriculture as a pathway to addressing household poverty. The study employed ethnography and involved twelve (12) respondents who were selected using snowball method. Snow ball method was appropriate because indigenous knowledge is continuously becoming scarce in the young generation as not every member of the community has the material culture knowledge. The study findings revealed that ethnic material culture significantly supports household social-economic enterprises in agriculture and that households largely depend on ethnic and indigenous knowledge and skills for their livelihoods. The study recommends that ethnic material culture should be recognized as an important contributing factor in modernizing agriculture if reduction of household poverty is to be real.
Assessing Green Home Performance: A Case Study of Iskandar Malaysia

This paper reviews data from a survey to determine the satisfaction level of homeowners towards their residence in terms of green features in Iskandar Malaysia. In this survey, 295 copies of questionnaire forms were being distributed to green home owners and 116 forms were returned. Results show that homeowners are most satisfied with the green features of high ceiling, north-south orientation, double-glazed panel glass doors and windows, solar panel system and landscaped parks with facilities. Rain water harvesting system and low-flow water fixtures, on the other hand, are the least satisfied green features among homeowners. Greater knowledge of green home attributes that influence housing satisfaction could lead to better understanding and prediction of decision making in determining homeowners’ needs.
PARTISIPASI MASYARAKAT DALAM PENGEMBANGAN PARIWISATA DI PANTAI PANDAWA, DESA KUTUH, KUTA SELATAN, BADUNG

Pandawa Beach is one of destination in Bali that be popular and much visited by tourists. Therefore, it is necessary managed by Kutuh Village community well. This study discussed about community participation in tourism development in Pandawa Beach. The method of this study is in-depth interviews, observation and literature study. In determining the informant, the technique that used is purposive sampling. Data analysis used qualitative descriptive. Result from this study is Kutuh Village community participation in decision making.The type of community participation in making decissin is interactive, in tourism program planning ( in tourism facilities development that are self mobilization, in tourism investments that are self mobilization, and in tourism promotion that is intensive ), in sharing profit from tourism activity in Pandawa Beach, and the type of community participation in sharing profit is self mobilization.
Licensed under Creative Commons Attribution Cc by an Automatic Approach towards Coloring Videos Using Monochrome Texture Descriptor & Parallel Processing: a Review

We present a new scheme for video colorization using optimization in rotation-aware Gabor feature space. Most current methods of video colorization incur temporal artifacts and prohibitive processing costs, while this approach is designed in a spatiotemporal manner to preserve temporal coherence. The parallel implementation on graphics hardware is also facilitated to achieve realtime performance of color optimization. By adaptively clustering video frames and extending Gabor filtering to optical flow computation, we can achieve real-time color propagation within and between frames. Temporal coherence is further refined through user scribbles in video frames. The experimental results demonstrate that our proposed approach is efficient in producing high-quality colorized videos.
Biosensors and their Applications in Food Safety: A Review

Background: Foodborne pathogens are a growing concern with respect to human illnesses and death. There is an increasing demand for improvements in global food safety. However, it is a challenge to detect and identify these harmful organisms in a rapid, responsive, suitable, and effective way. Results: Rapid developments in biosensor designs have contributed to the detection of foodborne pathogens and other microorganisms. Biosensors can automate this process and have the potential to enable fast analyses that are cost and time-effective. Various biosensor techniques are available that can identify foodborne pathogens and other health hazards. Conclusions: In this review, biosensor technology is briefly discussed, followed by a summary of foodborne pathogen detection using various transduction systems that exhibit specificity for particular foodborne pathogens. In addition, the recent application of biosensor technology to detect pesticides and heavy metals is briefly addressed.
Antimicrobial Susceptibility Patterns and Genetic Diversity of Campylobacter spp. Isolates from Patients with Diarrhea in South Korea

This study aimed to characterize the latest antimicrobial resistance patterns and genetic diversity of Campylobacter spp. isolated from patients with acute diarrhea in Korea. In total, 371 clinical isolates (361 Campylobacter jejuni and 10 Campylobacter coli) were collected from patients with diarrhea in 106 medical institutions of six provinces during the seasonal peak (April–September 2022) in South Korea. We then assessed their antimicrobial susceptibility to eight antimicrobial agents and performed multilocus sequence typing (MLST). This study investigated the antimicrobial resistance (AMR) profiles to tetracycline (32.3%), nalidixic acid (64.9%), and ciprofloxacin (83.3%), confirming high levels of the latter even after its Korean ban in 2010. However, tetracycline resistance displayed a decreasing trend. Alternatively, significantly lower resistance rates to clindamycin (0.8%), azithromycin (0.53%), erythromycin (0.53%), and gentamicin (0.53%) as well as absolute susceptibility to florfenicol (0%) were observed. Four C. jejuni and three C. coli isolates (7/371, 1.88%) were classified as multidrug-resistant (MDR) to at least three antimicrobial classes. MLST identified a high genetic diversity with 21 clonal complexes (CCs) and sixty-six sequence types (STs), including eight novel STs. The high CC frequency of C. jejuni comprised CC21 (37.7%), CC22 (13.8%), and CC206 (9.4%), while C. coli was predominated by CC828 (90%). The high CC21 and CC828 strain prevalence in this study was consistent with their worldwide distribution. This study highlights that quinolone- and tetracycline-resistant Campylobacter circulate in Korea with diverse genotypes, providing important information that could contribute to controlling and preventing increasing antimicrobial resistance in patients.