Miracle-dz/UniFAR-FTUs huggingface dataset:
Virtual Civil Society as a Platform for Gender Advocacy: Exploring the Role, Effectiveness, and Influence on Facebook

This paper aims to examine the role of virtual civil society on Facebook as a platform for gender advocacy, focusing on its capacity to advocate for gender equality, assess the effectiveness of online advocacy strategies, and explore the potential for virtual civil society to and shape public opinion on gender issues. Through qualitative methods and analysis, this study provides insights into the dynamics of virtual civil society, its impact on gender advocacy, and the opportunities and challenges it presents for promoting meaningful change in society. This study also explores the role of virtual civil society on social media platforms, especially on Facebook, as a platform for gender advocacy. Utilizing netnography, as a research method, the study also observes the participation and engagement of individuals. By examining the effectiveness of online advocacy strategies, the influence on policy discourse and public opinion, and the opportunities and challenges faced by virtual civil society groups, this study aims to contribute to our understanding of how digital spaces can advance gender equality. The study concludes with such virtual civil society groups and their practices, which advocate women’s empowerment. The findings offer insights for activists, policymakers, and organizations working towards creating a more inclusive and equitable society.
Data Collection in Laser-Powered UAV-Assisted IoT Networks: Phased Scheme Design Based on Improved Clustering Algorithm

Owing to the striking features, such as controllable mobility, low cost, and so on, unmanned aerial vehicles (UAVs) are deemed to be the promising solution to complete data collection tasks of Internet of Things devices (IoTDs). The limited onboard energy, however, undeniably impedes the progress of collecting data. Furthermore, this task is complicated further due to the various amount of data generated by the different types of IoTDs. The goal of this paper is to design an applicable data collection scheme for IoT networks using a laser-powered UAV to maximize system energy efficiency. We propose an improved clustering algorithm called logarithm kernel-based mean shift (LKMS) inspired by the idea behind the mean shift algorithm. Based on the LKMS, we propose a novel algorithm to determine the optimal visiting order and enter points (EPs) of IoTD clusters, paving the way for the following optimization. To manage to solve the variables-coupling and non-convex formulated problem, we artificially divide the entire flying procedure into two phases, the flying and charging (FC) phase as well as the collecting data (CD) phase, depending on whether the UAV is harvesting energy. The block coordinate descent (BCD) and the successive convex approximation (SCA) methods are used to decouple the variables and solve the non-convex subproblems. Simulation results validate the effectiveness of our proposed scheme.
Data-driven modeling of hydrodynamic loading using NARX and harmonic probing

Optimizing floating wind turbines and their mooring systems requires validated computational models that predict wave-frequency and low-frequency hydrodynamic loads. Low-frequency loads are crucial for determining extreme offsets and tension in mooring lines and are generally described by a quadratic transfer function. The quadratic transfer function, obtained with numerical tools, accurately predicts low-frequency loads in mild sea states. However, since the existing numerical methods are based on potential and perturbation theory, they generally fail to accurately predict low-frequency loads in moderate-to-extreme sea states where current, viscous, and beyond-second-order potential effects become significant. Developing a procedure for empirical transfer function estimation is, therefore, necessary to overcome these limitations. This paper describes an existing framework for estimating any higher-order transfer functions from experimental data. The framework employs a nonlinear auto-regressive model based on Kriging to establish a causal input/output relationship between the wave-elevation and hydrodynamic force histories exerted on the floater. Then, higher-order transfer functions are extracted using harmonic probing. The procedure was validated by estimating the linear surge transfer function of the INO WINDMOOR 12 MW floater using synthetic data. The data-driven results showed an excellent agreement with the theoretically computed transfer function.
Evolution of pollen grain morphology in Amorimia and allies evidences the importance of palynological apomorphies and homoplasies in Malpighiaceae systematics

Background and aims – Pollen grain morphology is an important morphological character for aiding the systematics of flowering plants. For Malpighiaceae, only a single unpublished palynological study has comprehensively sampled ca 60 of this family’s 75 currently accepted genera. To test the systematic relevance of pollen morphology in Amorimia and allies, we characterised the pollen morphology of these lineages. We scored, coded, and mapped 12 characters onto the most recent molecular phylogeny of Amorimia and allies. Material and methods – We sampled 13 species of Amorimia as ingroup and two species of Mascagnia and Ectopopterys soejartoi as outgroup. Pollen grains were acetolised, characterised, and measured using light microscopy and scanning electron microscopy. Pollen quantitative measurements were submitted to a PCA multivariate analysis. Additionally, quantitative and qualitative characters were scored and coded into 12 characters and mapped onto the molecular phylogeny of Amorimia and allies. Key results – Amorimia and allies are stenopalynous due to all species showing the same pollen type, with some subtle differences between the pollen grains, such as details of ornamentation, shape, size, and thickness of the pollen exine. However, the patterns of pollen grain evolution showed that few qualitative and apomorphic characters are informative for intrageneric distinction (i.e. type and number of apertures), and almost all quantitative and homoplastic characters analysed were informative at infrageneric levels within Malpighiaceae. Conclusion – Our results demonstrate that even though the pollen morphology characters of Amorimia and allies show subtle variation, both qualitative and quantitative apomorphic and/or homoplastic characters are highly informative for intra- and infrageneric levels in Malpighiaceae when analysed in a phylogenetic context.
Mediasi Kepercayaan Konsumen pada Pengaruh Kualitas Pelayanan terhadap Loyalitas Konsumen Traveloka

Perkembangan industri pariwisata kini dipercepat perkembangannya oleh proses globalisasi dan juga pesatnya perkembangan dari segi teknologi. Traveloka merupakan salah satu perusahaan Online Travel Agent yang bergerak dalam jasa pelayanan pemesanan tiket pesawat dan reservasi (booking) hotel secara online dan jasa lainnya. Penelitian ini bertujuan untuk mengetahui pengaruh kualitas pelayanan terhadap kepercayaan dan loyalitas konsumen Traveloka, sekaligus untuk mengetahui peran kepercayaan dalam memediasi pengaruh kualitas kepercayaan terhadap loyalitas konsumen Traveloka. Pengumpulan data dilakukan melalui kuesioner yang disebarkan kepada 200 responden, yang selanjutnya diolah dengan menggunakan perangkat lunak SmartPLS versi 3.3. Hasil penelitian menunjukkan pengaruh yang positif dan signifikan kualitas pelayanan terhadap loyalitas konsumen secara langsung atau tidak langsung dengan mediasi dari kepercayaan.
DEPOSITONAL MODELS OF TAIYUAN FORMATION IN DANIUDI GAS FIELD, ORDOS BASIN

There is still much disagreement over the depositional characteristics of the Carboniferous Taiyuan Formation of Upper Paleozoic in the northern Ordos Basin. In view of the needs of exploration and development in Daniudi gas field, the principles and methodologies of high resolution sequence stratigraphy are used to systematically study the depositional characteristics of the Carboniferous Taiyuan Formation based on highly accurate division of sequences in the Upper Paleozoic in Daniudi gas field with large amount of drilling data. Its features of depositional evolution are summarized and a depositional model of transitional facies is built, i.e. barrierless shore-barrier shore-delta plain.
On the Possible Asymmetry in Gamma Rays from Andromeda Due to Inverse Compton Scattering of Star Light on Electrons from Dark Matter Annihilation

Dark matter is a popular candidate to a new source of primary-charged particles, especially positrons in cosmic rays, which are proposed to account for observable anomalies. While this hypothesis of decaying or annihilating DM is mostly applied for our Galaxy, it could possibly lead to some interesting phenomena when applied for the other ones. In this work, we look into the hypothetical asymmetry in gamma radiation from the upper and lower hemisphere of the dark matter halo of the Andromeda galaxy due to inverse Compton scattering of starlight on the DM-produced electrons and positrons. While our 2D toy model raises expectations for the possible effect, a more complex approach gives negligible effect for the dark halo case, but shows some prospects for a dark disk model.
Détection à très haute résolution spatiale du blanchissement corralien sur les récifs de l'Île de La Réunion

Les recifs coralliens des zones intertropicales font partie des ecosystemes marins les plus riches mais aussi des plus vulnerables. Le blanchissement corallien, qui affecte de plus en plus frequemment ces formations, est un processus de depigmentation des colonies coralliennes qui traduit une deterioration de la symbiose qui existe entre les zooxanthelles et les polypes du corail. Cette symbiose permet la construction du squelette corallien (Goreau et Hayes, 1994). Les causes de ces degradations seraient aussi bien liees aux changements climatiques qu'au resultat des actions anthropiques sur les recifs ainsi que sur les bassins versants associes (Faure, 1994). Detecter et cartographier ce phenomene constitue depuis plusieurs annees un enjeu scientifique et operationnel (Andrefouet et al., 2000). Encore aujourd'hui aucun satellite ne fournit la resolution spectrale, spatiale et temporelle necessaire a la detection et au suivi de ce phenomene des zones intertropicales permettant de deboucher sur des indicateurs de perte de biodiversite. L'objectif de cette etude est une contribution a l'elaboration d'une chaine operationnelle d'acquisition et de traitement d'images destinee au suivi a grande echelle de la sante de ces ecosystemes. Cette recherche integre une reflexion sur l'adequation entre plates-formes d'acquisition d'image et thematique. Elle comporte deux etapes principales : la production de prises de vue aeriennes d'Ultra-Leger Motorise (PVA/ULM) a Tres Haute Resolution Spatiale (THRS) orthorectifiees en zone faiblement immergee et l'extraction d'objets geographiques pertinents par classification orientee-objet. L'etude mise en oeuvre montre les difficultes que represente l'extraction des parties du recif ayant subi un blanchissement a THRS et propose une amorce de solution a travers une esquisse d'analyse diachronique.
Fiscalidad medioambiental sobre la energía:: propuestas para España

In this paper we study the role can be played by tax system within a environmental energy policy in Spain. After analysing the Spanish tax system, it can be affirmed that for the time being tax policy has played an almost insignificant role, although it is worth to point out some relevant regional taxes. Nevertheless, that is not the case in the great majority of developed countries, where taxation is being commonly used as an instrument of environmental energy policies, even replacing to some extent traditional taxes levy on labour. Consequently, we make different proposals so that environmental issue can be introduced in the Spanish tax system, either at national or regional level. However, it is important to mention that any possible reform adopted by the regional level depends on the taxes and their level of control eventually allocated to it.
Alquremold Natural (AMN) for Growth Performance, Carcass Characteristics and Bacterial Growth Inhibition of Commercial Broilers

An experiment was conducted with 648-day-old Cobb 500 broiler chicks to evaluate the effects of Alquermold natural (AMN) on overall growth performance, carcass characteristics and inhibition of enteric bacterial growth of commercial broilers. The birds were randomly assigned to four different treatments: T0 (Control), T1 (0.5 g/kg AMN), T2 (1.0 g/kg AMN) and T3 (1.0 g/kg Mold Inhibitor (MI)), respectively. They were reared for up to 28 days. At the end of experiment, the birds’ growth performances in terms of body weight (BW), body weight gain (BWG), feed intake (FI), feed conversion ratio (FCR), survival, and meat production characteristics were recorded and calculated. Weekly fecal sample collection and microbiological count were performed to determine the bacterial load, specifically Escherichia coli and anaerobic bacteria in the broiler feces. The results showed that birds receiving 1.0 g/kg AMN had significantly higher BW and BWG (p0.01) than the control, 0.5 g/kg AMN, and MI groups. The FI and FCR of broilers were comparable in all treatment groups. There were no significant (p > 0.05) changes in meat yield parameters such as dressing percentage, neck, shank, drumstick, breast meat, thigh meat, and wing meat. However, when compared to the other dietary treatments, the bacterial load (E. coli and anaerobic bacteria) was significantly lower in the birds fed 1.0 g/kg AMN. Based on the findings, it can be concluded that feeding AMN at a rate of 1.0 g/kg may be considered for improving growth performance, maximizing feed utilization, and inhibiting bacterial load in the intestine of commercial broiler chickens.
Penerapan Metode Technology Acceptance Model (TAM) Terhadap Penggunaan Aplikasi Sistem Informasi Akademik Institut Bisnis Nusantara

Penelitian ini bertujuan untuk mengetahui mengetahui apakah Perceived Ease of Use berpengaruh terhadap Behavioral Intention to Use, Perceived Usefulness berpengaruh terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh pada Perceived Usage terhadap SIAK di Institut Bisnis Nusantara. Metode Penelitian yang akan digunakan adalah metode penelitian asosiatif. Populasi dalam penelitian ini adalah seluruh mahasiswa Institut Bisnis Nusantara yang aktif pada semester Genap 2022/2023 yang minimal sudah menggunakan aplikasi SIAK selama 2 semester yang berjumlah 550 mahasiswa. Hasil penelitian Perceived Ease of Use secara signifikan mempengaruhi Behavioral Intention to Use terhadap penggunaan SIAK di Institut Bisnis Nusantara, Perceived Usefulness secara signifikan mempengaruhi Behavioral Intention to Use terhadap penggunaan SIAK di Institut Bisnis Nusantara, Behavioral Intention to Use secara signifikan mempengaruhi Perceived Usage terhadap penggunaan SIAK di Institut Bisnis Nusantara
Knowledge, Perception and Challenges of Implementing Nutrition Screening: A Survey of Healthcare Professionals

BACKGROUND: Preoperative malnutrition is common in hospital settings; however, one major problem is the short practices to screen surgical patients as a part of nutrition care management to address the issue of malnutrition. OBJECTIVES: The aim of this study is to assess the knowledge, perceptions, and challenges of Healthcare Professionals (HCPs) to implement NS in pre-operative patients. METHODS: A cross-sectional survey was undertaken between April and May 2023. RESULTS: A total of 103 respondents participated in this survey. Almost 75% of HCPs acknowledged the importance of managing malnutrition in preoperative patients; however, there is a lack of implementation of NS (32.4%) and a need for training for HCPs (74.5%), which relates to fewer patients being referred to a dietitian for better nutrition care. All HCPs have a positive perception (85.4%) of the importance of preoperative NS and concur that challenges faced to execute NS accordingly beforehand are the barrier (52.3%). CONCLUSIONS: The present study suggests that HCPs are aware of early identification of malnutrition but lack implementation of NS. There is a remarkable need for the establishment of a standardised nutrition care pathway for better nutrition intervention in pre-operative patients.
Tourist Satisfaction, Destination Image, Loyalty and Revisit Intention to Malaysia’s National Parks.

The emergence of the tourism sector is creating thousands of job opportunities in the industry. It is one of the significant economic growth contributors in Malaysia. Realising the importance of this industry, this study aims to provide an overview of the critical determinants of tourists’ revisit intention to Malaysia’s national parks. To contemplate possible factors for revisit intention, the study will investigate the relationship between tourist satisfaction, destination image, loyalty and revisit intention. This study is conceptual. A comprehensive review will be presented based on the most recently selected literature from an academic journal and relevant online platforms. However, as mentioned in the conceptual analysis, this study focuses less on the critical and comprehensive outcomes of revisiting the intention of Malaysia’s national parks. Based on the thorough literature, this study attempts to find academic and industry perspective contributions that engage with ecotourism, one of the potential tourism industry sectors. The study will provide a holistic pedagogy to destination management authorities to focus on the related factors for domestic tourist revisit intention. The practical implication of this study is to assist and provide clear ideas to the national park management authorities about the determinants of domestic tourist revisit intention. By providing a glimpse of tourist revisit intention factors, the national park management can implement strategies to increase the rate of revisiting tourists. Nevertheless, national park management may implement these factors as part of recovery strategies after covid 19 pandemic, especially to encourage domestic tourists for reviewing. This study exposes the potential and possibility of the massive impact of ecotourism on the Malaysian tourism industry. Consequently, the study will suggest some critical sustainable resilience strategies which can support tourists’ revisit intention to Malaysia’s national park. The study finding will be original in their form and will be a unique attempt. Therefore, the study observations will be precious to all the stakeholders and policymakers of Malaysia’s ecotourism sector.
Detect Residential Buildings from Lidar and Aerial Photographs through Object-Oriented Land-Use Classification

Relating less directly to the physical reflectance from remote sensors, land-use analysis is comparably more challenging than land-cover studies, especially for residential land-uses. This research presents an object-oriented approach to detect residential land use of buildings directly from lidar data, aerial photography, and road maps to enhance urban land-use analysis. Specifically, the proposed methodology applies a multi-directional ground filter to generate a bare ground surface from lidar data, then uses a morphology-based building detection algorithm to identify buildings from lidar and aerial photographs, and finally separates residential buildings using a supervised C4.5 decision tree analysis based on seven land-use characteristics of buildings. Experiments based on the 8.25 km2 study site located in Austin, Texas proved the possibility and efficiency of directly detecting and identifying residential buildings from remote sensing images with 81.1 percent of residential buildings correctly classified.
IoT-Based Agricultural Compost Monitoring System: Prototype Development and Sensor Technology Evaluation

Abstract Smart agriculture refers to the application of advanced technologies in the field of agriculture, such as the Internet of Things, big data, edge/cloud computing, among others. These technologies facilitate the monitoring, tracking, recording, visualization, automation, and analysis of various agricultural operations. One critical process in this domain is composting, an organic waste disposal method that enriches soil with nutrients and encourages sustainable farming practices. However, it requires constant monitoring to ensure high-quality compost production at an optimal rate, without the development of harmful toxins. In this context, we propose a novel IoT-based agricultural compost monitoring system. The system is composed of an IoT sensor probe, edge/cloud platforms, and integrated solutions for networking, monitoring, logging, reporting, and visualization. This paper provides a comprehensive physical implementation of the probe, including detailed prototype components, testing of pertinent sensor technologies, and analysis of experiments conducted on a compost site using several probe variants. The main contributions of this paper are twofold: (1) the development of a novel IoT system prototype for efficient compost monitoring, and (2) the identification of the optimal sensor technology for measuring compost temperature. Our findings indicate that infrared sensing technology delivers the fastest and most accurate readings.
Poró (Erythrina poeppigiana) y madero negro (Gliricidia sepium) como suplementos proteicos en la producción de leche

El objetivo de este trabajo fue evaluar el efecto del follaje del poro (Erythrina poeppigiana) y del madero negro (Gliricidia sepium) como suplementos proteicos, en comparacion con urea en la produccion y composicion de la leche de vacas que consumian heno de jaragua (Hyparrhenia rufa) de baja calidad. Se utilizaron 12 vacas que se encontraban entre 45 y 60 dias de lactancia. Los resultados en la produccion de leche total indicaron que los tratamientos de poro y madero negro fueron estadisticamente iguales (7,3 y 7,4 kg/vaca/dia) y diferentes (P<0,05) al tratamiento con urea (6,7 kg/vaca/dia). No se encontraron diferencias para la composicion de la leche en ninguno de los tratamientos. El analisis economico de presupuestos parciales demostro que la suplementacion con madero negro y poro fue superior en 20 y 19% respectivamente con relacion a la urea. Para evaluar el efecto de la suplementacion proteica sobre la degradabilidad y los parametros de la fermentacion ruminal de los componentes de las dietas, se trabajo con tres novillos fistulados. El tipo de suplementacion no afecto la tasa de pasaje de las dietas ni el pH a nivel ruminal, pero el poro y el madero negro produjeron una mayor cantidad de AGV y una menor concentracion de amonio. Se concluye que el poro o el madero negro constituyen una alternativa de suplementacion proteica para la produccion de leche en vacas que consumen heno de jaragua de baja calidad.