Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Price, Brand Image, and Product Quality on Purchasing Intention in Indomie Consumers in The City of Surabaya

This research is focused primarily on the relationship between price, brand image, and product quality and purchase intention "The Effect of Price, Brand Image, and Product Quality on Purchase Intention in Indomie Consumers in Surabaya City". The main point that is the background for this problem to be discussed is Indomie, which is the top leader in the sale of packaged instant noodles in Indonesia. This happens because of the high consumer buying intention in these products. To be able to attract and increase consumer buying intention, there are various factors that influence, including price, brand image, and the quality of the product itself. The objectives of this study are to: 1) determine the significant relationship between price and purchase intention of Indomie consumers in Surabaya; 2) determine the significant relationship between brand image and purchase intention of Indomie consumers in Surabaya city; 3) determine the significant relationship between product quality and purchase intention of Indomie consumers in Surabaya city; and 4) ensure a significant relationship between price, brand image, and product quality simultaneously. The sample applied in this study was 100 respondents with predetermined criteria. This research applies quantitative methods with multiple regression analysis techniques, and data analysis tools apply SPSS version 22.0 and Microsoft Excel 2007. The conclusion of this study is that there is a significant partial and simultaneous influence between price, brand image, and product quality on buying intention in Indomie consumers in Surabaya city.
Game Theoretical Formulation for Residential Community Microgrid via Mean Field Theory: Proof of Concept

Incentive-based demand response aggregators are widely recognized as a powerful strategy to increase the flexibility of residential community MG (RCM) while allowing consumers’ assets to participate in the operation of the power system in critical peak times. RCM implementing demand response approaches are of high interest as collectively, they have a high impact on shaping the demand curve during peak time while providing a wide range of economic and technical benefits to consumers and utilities. The penetration of distributed energy resources such as battery energy storage and photovoltaic systems introduces additional flexibility to manage the community loads and increase revenue. This letter proposes a game theoretical formulation for an incentive-based residential community microgrid, where an incentive-based pricing mechanism is developed to encourage peak demand reduction and share the incentive demand curve with the residential community through the aggregator. The aggregator’s objective is to maximize the welfare of the residential community by finding the optimal community equilibrium electricity price. Each household communicates with each other and with the distributed system operator (DSO) through the aggregator and aims to minimize the local electricity cost.
Trends in Gastrointestinal Infections during the COVID-19 Pandemic and Concerns of Post-Pandemic Resurgence in Japan

The impact of the COVID-19 pandemic was very broad and substantial, affecting a variety of fields worldwide. In Japan, the infection began spreading in March 2020. At that time, the government alerted people to cancel overseas travel, and encouraged wearing of masks, handwashing, sanitizing and keeping social distance. We sought to determine how COVID-19 infections affected other infectious diseases by investigating the trends in seven gastrointestinal infections that are listed among the 77 important infectious diseases designated by the National Institute of Infectious Diseases. We compared seven gastrointestinal infectious diseases, namely cholera, bacterial dysentery, enterohemorrhagic Escherichia coli, typhoid fever, paratyphoid fever, amoebic dysentery, and giardiasis, in terms of numbers of new cases before the COVID-19 pandemic (2012–2019) and during the pandemic (2020–2022). During the COVID-19 pandemic period (2020–2022), the incidence of the seven infections decreased significantly (p < 0.05) compared with before the pandemic (2012–2019). The sharp and significant decline in incidence of these seven infections in Japan during the COVID-19 pandemic period (2020–2022) appears to be due to restrictions on overseas travel and strict anti-infection measures, such as self-quarantine and encouragement of handwashing and sanitizing. The number of new cases of gastrointestinal infections in Japan is expected to increase in 2024 as these measures lapse. It is important for physicians to continue to monitor trends in gastrointestinal infections and educate people about proper infection prevention.
An Adlerian Approach to Preventing Vicarious Trauma From Prolonged Exposure to Social Media

ABSTRACT:There is evidence to suggest that social media can have traumatizing effects on its viewers, particularly in areas of documented warfare, with direct effects on the average citizen in a country at war. Given social media’s ability to connect any place in the world today to any other, users can become immersed in global issues, including the reporting of news related to war. As social beings, individuals play different roles during times of warfare—they can create media to spread political messages, consume the media, or share the media—all of which essentially contribute to the consumption of a significant amount of war-related media. Any individual continuously exposed to such media has the potential to undergo psychological distress, such as vicarious trauma. This article outlines how media play a role in the impact of the invasion of Ukraine on its viewers’ mental health. Using an Adlerian lens, it also addresses methods for preventing vicarious trauma for social media users and leaders of social-media- oriented businesses through an exploration of values such as community feeling, Social Interest, goal-directedness, social justice, and alleviation of a sense of inferiority.
A piecewise continuous learning method based on a spatial-spectral relational neural networks

In recent years, with the development of hyperspectral sensor technology, how to accurately capture different classes of ground objects from hyperspectral images in a large area is an urgent problem. This paper proposes a piecewise continuous learning method based on a spatial-spectral relational network, a circular classification process, including image cutting, image classification, and result map mosaic. This method can directly fine-tune each sub-region without modifying the network structure and can infer the whole region's figure class information. Taking Houston dataset as the experimental dataset, this paper verifies the effectiveness of the proposed classification process. Further, it reveals the application value of the proposed method in large-area hyperspectral image classification.
Enhancing Vocabulary Acquisition through Reading: A Hierarchy of Text-Related Exercise Types.

Dans cet article, l'A. propose un schema classificatoire pour rendre compte des divers types d'exercices de vocabulaire associes a la lecture et couramment rencontres dans les manuels d'anglais langue seconde ou langue etrangere. Ce schema classificatoire postule l'existence d'une hierarchie determinee par le stade et par la nature de l'operation cognitive exigee par les divers types d'exercices de vocabulaire, conformement a un schema de traitement de l'information pour l'acquisition des connaissances tirees de l'input en langue seconde (Gass,1988)
The biobjective multiarmed bandit: learning approximate lexicographic optimal allocations

We consider a biobjective sequential decision-making problem where an allocation (arm) is called ε lexi- cographic optimal if its expected reward in the first objective is at most ε smaller than the highest expected reward, and its expected reward in the second objective is at least the expected reward of a lexicographic optimal arm. The goal of the learner is to select arms that are ε lexicographic optimal as much as possible without knowing the arm reward distributions beforehand. For this problem, we first show that the learner’s goal is equivalent to minimizing the ε lexicographic regret, and then, propose a learning algorithm whose ε lexicographic gap-dependent regret is bounded and gap-independent regret is sublinear in the number of rounds with high probability. Then, we apply the proposed model and algorithm for dynamic rate and channel selection in a cognitive radio network with imperfect channel sensing. Our results show that the proposed algorithm is able to learn the approximate lexicographic optimal rate–channel pair that simultaneously minimizes the primary user interference and maximizes the secondary user throughput.
Chromosomes of the genus Arge Schrank, 1802 (Hymenoptera, Argidae): new data and review

﻿Abstract Results of the chromosome study of 12 sawfly species of the genus Arge Schrank, 1802 are reviewed, including new data on the karyotypes of A.ciliaris (Linnaeus, 1767) and A.enodis (Linnaeus, 1767) with n = 10. Moreover, the same chromosome number, n = 10, is found in A.ustulata (Linnaeus, 1758), for which n = 8 was previously reported. In addition, n = 8 is confirmed in A.gracilicornis (Klug, 1814). The results of the morphometric analysis of chromosome sets of these four species are given. In the genus Arge, haploid chromosome numbers of n = 8, 10, 11 and 13 were found. Among these sawflies, n = 8 appeared to be the most frequent chromosome number, followed by n = 10. The known data of the chromosome study of these insects are summarized and discussed in the light of phylogeny and taxonomy of the genus Arge.
Potential to improve precipitation forecasts in Texas through the incorporation of multiple teleconnections

Climate oscillations are one of the primary factors that influence precipitation. This study uses canonical correlation analysis (CCA) to examine how El Niño‐Southern Oscillation (ENSO), Atlantic Multidecadal Oscillation, North Atlantic Oscillation, Pacific Decadal Oscillation, and the Pacific‐North American pattern influence precipitation in Texas. This study identifies the months, regions, and time lags where the relationships between climate oscillations and precipitation are strongest. Correlation results indicate that ENSO accounts for the greatest amount of precipitation variance in Texas. However, including all five climate oscillations is important and together they account for a greater amount of the variance in precipitation than any individual climate oscillation. Precipitation in southern Texas is more strongly influenced by climate oscillations than other regions in Texas. The CCA results demonstrate that there are statistically significant relationships between the climate oscillations and precipitation at time lags longer than 6 months during the summer and at time lags shorter than 6 months during the winter. Based on the CCA results, a precipitation forecast model was developed for the three climate regions that we defined. In the cases of January, the Heidke Skill Score (HSS) of our model is comparable or higher to those achieved by the Climate Prediction Center (CPC) in each region. For all of the 36 month/region cases (12 months × 3 regions), there are 50% cases that the HSS of our model is comparable or higher to those achieved by the CPC. The results of this study illustrate that including multiple teleconnections can increase forecast skill, and statistical methods are useful for precipitation forecasting at a 0‐month lead time.
Fibrous topology promoted pBMP2-activated matrix on titanium implants boost osseointegration

Abstract Titanium (Ti) implants have been extensively used after surgical operations. Its surface bioactivity is of importance to facilitate integration with surrounding bone tissue, and ultimately ensure stability and long-term functionality of the implant. The plasmid DNA-activated matrix (DAM) coating on the surface could benefit osseointegration but is still trapped by poor transfection for further application, especially on the bone marrow mesenchymal stem cells (BMSCs) in vivo practical conditions. Herein, we constructed a DAM on the surface of fibrous-grained titanium (FG Ti) composed of phase-transition lysozyme (P) as adhesive, cationic arginine-rich lipid (RLS) as the transfection agent and plasmid DNA (pDNA) for bone morphology protein 2 (BMP2) expression. The cationic lipid RLS improved up to 30-fold higher transfection than that of commercial reagents (Lipofectamine 2000 and polyethyleneimine) on MSC. And importantly, Ti surface topology not only promotes the DAM to achieve high transfection efficiency (∼75.7% positive cells) on MSC due to the favorable combination but also reserves its contact induction effect for osteoblasts. Upon further exploration, the fibrous topology on FG Ti could boost pDNA uptake for gene transfection, and cell migration in MSC through cytoskeleton remodeling and induce contact guidance for enhanced osteointegration. At the same time, the cationic RLS together with adhesive P were both antibacterial, showing up to 90% inhibition rate against Escherichia coli and Staphylococcus aureus with reduced adherent microorganisms and disrupted bacteria. Finally, the FG Ti-P/pBMP2 implant achieved accelerated bone healing capacities through highly efficient gene delivery, aligned surface topological structure and increased antimicrobial properties in a rat femoral condylar defect model.
The Mozambique Ridge: a document of massive multistage magmatism

The Mozambique Ridge, a prominent basement high in the southwestern Indian Ocean, consists of four major geomorphological segments associated with numerous phases of volcanic activity in the Lower Cretaceous. The nature and origin of the Mozambique Ridge have been intensely debated with one hypothesis suggesting a Large Igneous Province origin. High-resolution seismic reflection data reveal a large number of extrusion centres with a random distribution throughout the southern Mozambique Ridge and the nearby Transkei Rise. Intrabasement reflections emerge from the extrusion centres and are interpreted to represent massive lava flow sequences. Such lava flow sequences are characteristic of eruptions leading to the formation of continental and oceanic flood basalt provinces, hence supporting a Large Igneous Province origin of the Mozambique Ridge. We observe evidence for widespread post-sedimentary magmatic activity that we correlate with a southward propagation of the East African Rift System. Based on our volumetric analysis of the southern Mozambique Ridge we infer a rapid sequential emplacement between ∼131 and ∼125 Ma, which is similar to the short formation periods of other Large Igneous Provinces like the Agulhas Plateau.
The diversity, abundance and habitat association of medium and large-sized mammals of Dati Wolel National Park, Western Ethiopia

Knowledge of the faunal diversity, abundance and habitat preference are basics for the status determination and proposing appropriate conservation measures. A survey was conducted to assess the diversity, relative abundance and habitat association of medium and large-sized mammals of the Dati Wolel National Park, Western Ethiopia from September 2012 to April 2013. It was hypothesized that the area is rich in mammalian species that prefer to live in grassland and woodland close to water source. Four habitat types were assessed during the study (wetland, woodland, riverine forest and grassland). Line transect survey method was used to collect data in the four sampled habitats. A total of 28 mammalian species were recorded. Woodland was the habitat with the most diversity of mammals (H’ =2.643) followed by riverine forest (H’ = 1.60677), and the wetland was considered the habitat with the least diversity of species (H’= 1.04086). Hippopotamus amphibius (hippopotamus; 43.92%) and Syncerus caffer (African buffalo; 33.3%) were the most abundant species, while Mellivora capensis (honey badger) and Ichneumia albicauda (black backed jackal) were the least observed (0.099%, each). The greatest species similarity was recorded between woodland and grassland (SI=0.76) and the lowest was between woodland and wetland (SI= 0.4). Thorough inventory for faunal diversity, involving multiple seasons and all vertebrates, strengthening the now loose park management by involving the local people will ensure the sustainability of the ecosystem in supporting the riche biodiversity components. Key words: Diversity indices, evenness, habitat preference, mammals, species richness, transect lines.
Parents’ willingness to pay for COVID-19 vaccination for children in Malaysia using the contingent valuation method

Children are susceptible and a potential source of transmission for coronavirus disease 2019 (COVID-19). However compulsory COVID-19 vaccination programs among children have not been a focus in Malaysia. The aim of this study was to measure parents’ willingness to pay (WTP) for the COVID-19 vaccine and analyze the effects of socioeconomic variables on parents’ WTP. An online cross-sectional study was conducted in Malaysia with two waves of surveys (i.e., different samples for each wave), March and June 2021. The study participants were Malaysian parents above 18 years old. Parents were randomized between two vaccine effectiveness profiles (95% and 50% effectiveness) and two risk levels of an adverse event (5% and 20% risk of fever). The WTP was estimated using a double-bounded dichotomous choice. Socioeconomic variables such as age of parent, gender, insurance, income, and education were examined. A total of 292 parents in March 2021 and 271 in June 2021 were included in the study. The vaccine safety and effectiveness profile did not significantly impact the WTP. In March 2021, the estimated WTP ranged from RM344.74 to RM399.64 (US$82.5 to US$95.6) across vaccine profiles and between RM377.55 and RM444.33 (US$90.3 to US$106.3) in June. Insurance status was associated with the parents’ WTP, and during the June wave, the age of parents influenced the WTP. Implementing subsidies or free vaccinations is considerable to increase herd immunity and prevent transmission of COVID-19 in Malaysia.
Rising Interventions in Sports Science – AI to Optimize Data for Athletes

Data scientists and AI researchers have been propelled to examine how their technological tools can optimize the performance of athletes in an ever-so-dynamic world of continuous inflow and changes within the market. This article will specifically go in depth of the multi-components of kinesiology, cognitive science, and marketing interventions that are currently incorporated to effectively optimize athletic performance.
Associations of serostatus upon arrival with clinical respiratory disease, lung consolidation and growth in veal calves.

Respiratory tract infections remain a major problem during calf rearing, especially among milk (formula) fed veal. Preconditioning of calves through appropriate colostrum management and vaccination could be helpful to address this issue. The objective of this study was to investigate whether the presence of serum antibodies against major respiratory tract pathogens (Bovine Respiratory Syncytial virus, Parainfluenza 3 virus, Bovine coronavirus, Mycoplasmopsis bovis, Histophilus somni, Pasteurella multocida and Mannheimia haemolytica) and total serum immunoglobulin G (IgG) concentration in calves upon arrival at the veal facility were associated with the occurrence of clinical bovine respiratory disease (BRD) or lung consolidation in the first 3 weeks, as assessed by both the Wisconsin BRD scorecard (based on 5 clinical signs: cough, rectal temperature, ear position, nasal-and ocular discharge) and by quick thoracic ultrasound scanning (qTUS). Additionally, the association between calves' serostatus production parameters were explored. A prospective cohort study was conducted among 442 male dairy calves on a large veal calf facility in Belgium. Both clinical scoring and qTUS were performed on all calves at 4 key moments in the production cycle: arrival at the facility, initiation of first metaphylactic antimicrobial treatment at peak incidence of BRD (wk 1), end of the first metaphylactic treatment (short-term evaluation) and at wk 10 (long-term evaluation). Mixed effects logit regression models were fitted to quantify relationships. The outcomes of interest were clinical respiratory disease (Wisconsin BRD scorecard positive), lung consolidation (≥1cm or ≥ 3cm), average daily weight gain and cold carcass weight. In the first week of production, incidence of lung consolidation (≥1cm) quickly increased from 14.9% upon arrival to 43.0% at the peak of the BRD incidence, while clinical BRD increased from 3.6% to 16.1%. The main finding of this study was that calves who were seropositive for bovine respiratory syncytial virus (BRSV) and bovine coronavirus (BCoV) at arrival had reduced odds of developing lung consolidation at the peak of the outbreak, 0.58 OR (95% CI: 0.38 - 0.89) and 0.37 OR (95% CI: 0.20 - 0.69), respectively. No relationships between serum IgG concentration at arrival and the development of lung consolidations or clinical respiratory disease were found. Nevertheless, on average, throughout the first 10 weeks of the fattening cycle, calves with failed transfer of passive immunity (FPT, serum IgG < 7.5 g/L) gained 40 g/day (95% CI: 10-70g/day) less weight (ADG). Hence, ensuring that calves have a positive serostatus for these respiratory tract pathogens before entering the facility may help lower the incidence of lung consolidations, subsequently reducing treatment incidence and the adverse effects on primary economic outcomes.
A Survey of Integrated Simulation Environments for Connected Automated Vehicles: Requirements, Tools, and Architecture

Automated and connected vehicles are emerging in the market. Currently, solutions are being proposed to use these technologies for cooperative driving, which can significantly improve road safety. Vehicular safety applications must be tested before deployment. It is challenging to verify and validate them in the real world. Therefore, simulation is used for this purpose. Modeling this technology necessitates coupled use of traffic flow, vehicle dynamics, and communication network simulators. State-of-the-art tools exist in these domains; however, they are difficult to integrate or lack full domain coverage. This article analyzes the requirements for an integrated connected and automated vehicle simulation environment for simulating vehicular cooperative driving automation with consideration of surrounding objects’ influence. For this purpose, we have assessed the existing challenges and practices. Vehicular simulation tools, signal propagation, and cooperative perception models are reviewed and analyzed. In our review, we focus mainly on autonomous driving simulators with 3D graphical environments as they have not yet been assessed for cooperative driving task fitness. Further, the current state of connected and automated vehicle simulation studies using these tools is surveyed, including single-tool and co-simulation approaches. We discuss the shortcomings of existing methods and propose an architecture for an integrated simulation environment (ISE) with full domain coverage using open source tools. The obtained conclusions can be further used in the development of connected and automated vehicle ISEs.