Miracle-dz/UniFAR-FTUs huggingface dataset:
Brand Alignment Targeting against the Needs of Gen-Z Consumers to Improve Brand Identity and Brand Advocacy

The phenomenon of online transportation in Indonesia has indeed been rampant for the last ten years due to increasingly sophisticated technological developments. The presence of PT Gojek Indonesia as a startup engaged in the field of online transportation has received a positive response from Gen-Z circles. This can be seen from the several services that PT Gojek Indonesia continues to develop so that in the end, there are 22 on-demand services that users can enjoy. This study aims to determine the indicators of Gen-Z consumer needs preferences in measuring brand alignment and how PT Gojek Indonesia will carry out the strategy to create the brand identity and brand advocacy for Gen-Z. The quantitative method used in this research uses the Partial Least Square Structural Equation Model (PLS-SEM) analysis technique. The critical finding of this study is that three exogenous variables (Brand Alignment, Brand Identity, and Brand Advocacy) positively and significantly affect consumer needs. However, this study has yet to explore consumer needs by adopting a comprehensive theory. Therefore, future research on brand alignment, identity, and advocacy, should discuss in more detail the sides of consumer needs by taking into account relevant theories, such as Maslow’s theory of markets and consumer behavior.
Smart Cartography: representing complex geographical reality of 21st century

ABSTRACT This article delves into the essence of “Smart Cartography”, a focal point in the international cartographic and geospatial information arena. Rather than the “smart”, the paper concentrates on unpacking the meaning of “cartography” and “map”, by drawing on the ICA 2003 definitions, distilling it to “representation and use of geographical reality”. It posits that the geographical reality, recognized as the “object of mapping” in literature, is the core element needing further investigation. The study further explores historical and contemporary terminology for geographical reality (object of mappings) since the mid-nineteenth century. asserting the reflection of each era's geographical knowledge in its object of mapping. In the constantly evolving, complex world, the paper advocates for a new paradigm capable of encapsulating these characteristics in the representation of geographical reality. Hence, the notion of Smart Cartography must embrace an understanding of temporal changes and spatial dynamism, integrating causally aware systems to comprehend not just the changes but their causes, in turn enhancing the decision-making process. The author concludes that Smart Cartography of the 2030s should adeptly represent the dynamism and complexities of our geographical reality, highlighting its adaptability in line with technological advancements and evolving spatial representation needs.
Implementing integrated river basin management: lessons from the Red River Basin, Vietnam. Working paper

The publications in this series cover a wide range of subjects—from computer modeling to experience with water user associations—and vary in content from directly applicable research to more basic studies, on which applied work ultimately depends. Some research reports are narrowly focused, analytical and detailed empirical studies; others are wide-ranging and synthetic overviews of generic problems. Although most of the reports are published by IWMI staff and their collaborators, we welcome contributions from others. Each report is reviewed internally by IWMI staff, and by external reviewers. The reports are published and distributed both in hard copy and electronically (www.iwmi.org) and where possible all data and analyses will be available as separate downloadable files. Reports may be copied freely and cited with due acknowledgment. About IWMI IWMI's mission is to improve the management of land and water resources for food, livelihoods and environment. In serving this mission, IWMI concentrates on the integration of policies, technologies and management systems to achieve workable solutions to real problems—practical, relevant results in the field of irrigation and water and land resources. ii The authors: François Molle is a Principal Researcher at the " Institut de Recherche pour le Développement " (IRD), France, and has been collaborating with the International Water Management Institute (IWMI) during the last ten years. His work focuses on issues of river basin management, water governance and water policies. He is theme leader for water policies in the Mekong Program on Water, Environment and Resilience (www.mpowernet.org/mweb.php? pg=60) and the co-editor of Water Alternatives; and Chu Thai Hoanh is a Principal Researcher at IWMI and is based at the Southeast Asia office in Vientiane, Lao PDR. His work focuses on regional water management and development scenario analysis in the Mekong Basin. He is theme leader for irrigation in the Mekong Program on Water, Environment and Resilience (/ river basin management / water resource management / development projects / governance / water law / water policy / institutional development / organizational change / Vietnam / provided that the organization is acknowledged and kept informed in all such instances. Acknowledgements The authors would like to express their sincere and warm thanks to all the persons that have provided time and information to this study: Project This paper presents findings from project number 50 titled " Multi-scale Mekong Water Governance: Inter-disciplinary Research to Enhance Participatory Water Governance from Local Watershed to Regional Scales " of the CGIAR …
Tropical island herpetofauna : origin, current diversity, and conservation

Hardbound. Tropical Island Herpetofauna presents fifteen individual contributions. Part I contains four papers describing and analysing taxonomic and phyletic diversities of yet poorly reported herpetofaunas in some tropical Pacific and Indian Ocean archipelagos. Part II is devoted to our understanding of the ecological and behavioral plasticity of island reptiles, and their natural and anthropogenic dispersal abilities. Some of the papers also discuss impacts on native island reptiles by artificially introduced exotic predators and competitors. The final five papers in Part III discuss the temporary dynamics of land configurations and islands acting as landbridges which is reflected by the current distribution and variation of herpetofauna in subtropical East Asia. These contributions, while updating knowledge on the origin and current diversity of herpetofauna in the tropical Pacific and Indian Ocean archipelagos, will enhance the appreciat
Stress experiences of healthcare assistants in family practice at the onset of the COVID-19 pandemic: a mixed methods study

Background At the beginning of the pandemic in 2020, healthcare assistants in general practices were confronted with numerous new challenges. The aim of the study was to investigate the stress factors of healthcare assistants in March/April 2020 as well as in the further course of the pandemic in 2020. Methods From August to December 2020, 6,300 randomly selected healthcare assistants in four German states were invited to participate in the study. We performed a mixed methods design using semi-structured telephone interviews and a cross-sectional survey with quantitative and open questions. The feeling of psychological burden was assessed on a 6-point likert-scale. We defined stress factors and categorized them in patient, non-patient and organizational stress factors. The results of the three data sets were compared within a triangulation protocol. Results One thousand two hundred seventy-four surveys were analyzed and 28 interviews with 34 healthcare assistants were conducted. Of the participants, 29.5% reported experiences of a very high or high feeling of psychological burden in March/April 2020. Worries about the patients’ health and an uncertainty around the new disease were among the patient-related stress factors. Non-patient-related stress factors were problems with the compatibility of work and family, and the fear of infecting relatives with COVID-19. Organizational efforts and dissatisfaction with governmental pandemic management were reported as organizational stress factors. Support from the employer and team cohesion were considered as important resources. Discussion It is necessary to reduce stress among healthcare assistants by improving their working conditions and to strengthen their resilience to ensure primary healthcare delivery in future health crises.
Combining Weather Classification and Mask RCNN for Accurate Wheat Rust Disease Prediction

Wheat rust diseases cause a huge amount of loss and decrease the wheat yield quality. According to the national agriculture institute, a total of 6.75% of wheat grain quality is decreased due to wheat stem, stripe, and leaf rust diseases. Thus, the identification of rust diseases is important for farmers. The rust diseases have been identified by either evaluator or traditional image processing techniques and this takes a lot of misidentification errors. To reduce the misidentification errors, a Mask RCNN M2 approach is proposed. The Mask RCNN2 approach is validated on the collected secondary source dataset with three numbers of weather classes such as rainy, cold, and sunny classes. The Mask RCNN M2 is a combined approach of Mask RCNN and CNN for rust diseases classification with a different number of weathers. The weather classification defines the spreading of rust diseases with different number of weather. If the rust disease along with weather is classified, then the spreading of rust diseases in different weather is controlled in an effective manner. A total number of 3600 wheat rust masks with a size of 36$\ast$36 pixels have been generated. The generated masks have been used for weather classification. The weather classification helps find the spread of rust diseases in different weathers. Several epochs were used to validate the Mask RCNN2 approach. During epochs tuning, Mask RCNN has high validation loss (0.25) and CNN achieves high testing accuracy (98.6%) for weather classification. Thus, the current study facilitated the control of the identification of wheat rust diseases in different weathers.
Psychosocial safety climate for building restaurant employees’ meaning of work and resilience

Abstract This study aimed to provide a better understanding of why a psychosocial safety climate is important for a conducive work environment for hospitality employees. Employees’ meaning of work and resilience were the focus as the consequences of the climate with gratitude as an affective state. Psychosocial safety climate was directly related to employees’ meaning of work. The significant relationship between psychosocial safety climate and gratitude was found as well as the association between gratitude and the meaning of work. Although the psychosocial safety climate did not directly impact employees’ resilience, it still exerted influence through the effect on gratitude.
Exploring the Impact of Human–Animal Connections and Trust in Labeling Consumers’ Intentions to Buy Cage-Free Eggs: Findings from Taiwan

Recently, interest in animal welfare has steadily increased, driven by a growing focus on environmental, social, and governance (ESG) issues. This trend aligns with the Sustainable Development Goals (SDGs) set by the United Nations. This underscores the importance of comprehending consumer attitudes towards products that are respectful to animal welfare. This research aims to employ the Value-Attitude-Behavior (VAB) model as a theoretical basis to explore the behavioral intentions of Taiwanese consumers to buy cage-free eggs. To provide comprehensive insights into consumer behavior in this domain, the study examines key variables such as ‘human–nature connectedness’, ‘trust in labels’, and ‘attitude towards animal welfare’. By addressing an existing research gap in the literature and exploring consumer behavior in relation to animal welfare-friendly products, the research contributes to an area that has received limited attention. We gathered a total of 341 valid questionnaires for this research. Employing Structural Equation Modeling (SEM) along with Maximum Likelihood Estimation (MLE), we investigated the causal connections between variables. The study presents three key observations: First, consumers who value sustainability and ethics tend to maintain a positive perspective on free-range eggs. Second, a favorable stance towards cage-free eggs directly correlates with positive future behaviors. Lastly, label trustworthiness and a supportive view towards animal welfare heavily affect behavioral intentions in consumers. Given these insights and the growing significance of animal welfare in consumer choices, we recommend that participants in the food and livestock sector earnestly advocate for and back practices that prioritize animal well-being.
Preventing Overgrowth of Cucumber and Tomato Seedlings Using Difference between Day and Night Temperature in a Plant Factory with Artificial Lighting

This study aimed to determine the feasibility of temperature difference as an overgrowth-prevention technique to influence plant height and internode length in a plant factory with artificial lighting. The control plants were grown in a commercial nursery greenhouse using a growth regulator (Binnari), and +DIF (25 °C/15 °C), 0DIF (20 °C/20 °C), and −DIF (15 °C/25 °C) were the treatments with different day/night temperatures and the same average temperature (20 °C). Cucumbers showed the strongest suppression under the −DIF treatment, with a dwarfism rate of 33.3%. Similarly, tomatoes showed 0.8% and 22.2% inhibition in the 0DIF and −DIF treatments, respectively. The FV/FM of cucumber was approximately 0.81 for all treatments. The OJIP changes differed for cucumbers; however, both cucumbers and tomatoes had similar OJIP curve patterns and no abnormalities. The relative growth rate of cucumbers at the growth stage was 1.48 cm·cm·day−1 for days 6–9 in +DIF stage 3, which was the highest growth rate among all treatments, and 0.71 cm·cm·day−1 for days 3–6 in −DIF stage 1, which was the most growth-inhibited treatment. In tomatoes, we found that days 3–6 of −DIF stage 1 had the most growth inhibition at 0.45 cm·cm·day−1. For cucumber, −DIF days 3–6 had the most growth inhibition, with a relative growth rate of 0.71 cm·cm·day−1, but the fidelity was significantly higher than the other treatments, with a 171% increase. The same was true for tomatoes, with days 3–6 of −DIF stage 1 showing the most inhibited growth at 0.45 cm·cm·day−1 but a 200% increase in fidelity. Therefore, applying the −DIF treatment at the beginning of growth would be most effective for both cucumbers and tomatoes to prevent overgrowth through the DIF in a plant factory with artificial lighting because it does not interfere with the seedling physiology and slows down the growth and development stage.
Virus-Induced Gene Silencing in the Tea Plant (Camellia sinensis)

The recent availability of a number of tea plant genomes has sparked substantial interest in using reverse genetics to explore gene function in tea (Camellia sinensis). However, a hurdle to this is the absence of an efficient transformation system, and virus-induced gene silencing (VIGS), a transient transformation system, could be an optimal choice for validating gene function in the tea plant. In this study, phytoene desaturase (PDS), a carotenoid biosynthesis gene, was used as a reporter to evaluate the VIGS system. The injection sites of the leaves (leaf back, petiole, and stem) for infiltration were tested, and the results showed that petiole injection had the most effective injection, without leading to necrotic lesions that cause the leaves to drop. Tea leaves were inoculated with Agrobacterium harboring a tobacco rattle virus plasmid (pTRV2) containing a CsPDS silencing fragment. The tea leaves exhibited chlorosis symptoms 7–14 days after inoculation, depending on the cultivar. In the chlorosis plants, the coat protein (CP) of tobacco rattle virus (TRV) was detected and coincided with the lower transcription of CsPDS and reduced chlorophyll content compared with the empty vector control, with 81.82% and 54.55% silencing efficiency of ‘LTDC’ and ‘YSX’, respectively. These results indicate that the VIGS system with petiole injection could quickly and effectively silence a gene in tea plants.
Links between Neuroanatomy and Neurophysiology with Turning Performance in People with Multiple Sclerosis

Multiple sclerosis is accompanied by decreased mobility and various adaptations affecting neural structure and function. Therefore, the purpose of this project was to understand how motor cortex thickness and corticospinal excitation and inhibition contribute to turning performance in healthy controls and people with multiple sclerosis. In total, 49 participants (23 controls, 26 multiple sclerosis) were included in the final analysis of this study. All participants were instructed to complete a series of turns while wearing wireless inertial sensors. Motor cortex gray matter thickness was measured via magnetic resonance imaging. Corticospinal excitation and inhibition were assessed via transcranial magnetic stimulation and electromyography place on the tibialis anterior muscles bilaterally. People with multiple sclerosis demonstrated reduced turning performance for a variety of turning variables. Further, we observed significant cortical thinning of the motor cortex in the multiple sclerosis group. People with multiple sclerosis demonstrated no significant reductions in excitatory neurotransmission, whereas a reduction in inhibitory activity was observed. Significant correlations were primarily observed in the multiple sclerosis group, demonstrating lateralization to the left hemisphere. The results showed that both cortical thickness and inhibitory activity were associated with turning performance in people with multiple sclerosis and may indicate that people with multiple sclerosis rely on different neural resources to perform dynamic movements typically associated with fall risk.
Which shrinkage is better? Portfolio selection with a cleaned random matrix

ABSTRACT Covariance matrix estimation is of great importance in formulating a portfolio. The sample covariance matrix, the most frequently used estimator, is well known to be unstable due to the estimation error, when the sample size is small. A shrinkage approach is one of the popular methods for estimating a stable covariance matrix. This study compares and evaluates performance of the three different shrinkage type covariance matrix estimators for the optimal portfolio selection strategy. To evaluate the performance of the covariance matrix estimators, we consider both the in- and out-of-sample value at risk, conditional value at risk, Sharpe-ratio, adjusted Sharpe-ratio, and a beta of the portfolio selection strategies. Empirical results show that a portfolio using shrinkage covariance matrix estimator with the identity matrix or constant correlation matrix as the shrinkage target tends to have a lower risk. We also find that the random matrix approach has a relatively high out-of-sample return and Sharpe-ratio under the small sample size cases.
COLLECTION AND ANALYSIS OF COMMERCIAL FISHERY STATISTICS IN THE GREAT LAKES

Catch-effort statistics are submitted on closely similar monthly report forms by licensed commercial fishermen throughout U.S. and Canadian waters of the Great Lakes. This form was tested experimentally in State of Michigan waters in 1926; monthly submittal was required of Michigan fishermen beginning September 1927. Use of the form spread gradually to other states and Ontario; full coverage was achieved in 1950. The procedure for tabulation and analysis of the statistics also is the same in all states and Ontario. Much of the present report is concerned with the development of the analytical procedure and the illustration, through example, of its operation. An early discovery was the need for completely independent tabulations of effort for each of the principal species. To meet this need, effort was charged to a species only on those days when some poundage was produced. At about the same time it was learned that the catch per lift of stationary gear, without any consideration of fishing time (nights out) before lifting, gives satisfactory estimates of fluctuations in abundance. Later developments were concerned mostly with the use of catcheffort statistics for dissimilar gears to obtain single index figures for abundance and fishing intensity. The procedure now employed is described and illustrated. Special circumstances have made necessary certain exceptions to the standard procedure. Exceptions made to date are listed and the reasons for them explained. Explanations are given also of certain special computational problems, and the disruptive effects of changes of regulation are reviewed.
A quick algorithmic review on management of viral infectious diseases in pediatric solid organ transplant recipients

Pediatric solid organ transplant is a life-saving procedure for children with end-stage organ failure. Viral infections are a common complication following pediatric solid organ transplantation (SOT), which can lead to increased morbidity and mortality. Pediatric solid organ transplant recipients are at an increased risk of viral infections due to their immunosuppressed state. The most commonly encountered viruses include cytomegalovirus (CMV), Epstein-Barr virus (EBV), herpes simplex virus (HSV), varicella-zoster virus (VZV), adenoviruses, and BK polyomavirus. Prevention strategies include vaccination prior to transplantation, post-transplant prophylaxis with antiviral agents, and preemptive therapy. Treatment options vary depending on the virus and may include antiviral therapy and sometimes immunosuppression modification. This review provides a Quick Algorithmic overview of prevention and treatment strategies for viral infectious diseases in pediatric solid organ transplant recipient.
The Effect of Financial Self-Efficacy on Student Investment Interest Mediated by Financial Literacy

Along with the development of the capital market in Indonesia also continues to grow. An increase in the number of investors in the capital market marks this. Generation Z and millennials dominate the growth of investors in the capital market. However, the education history of investors with the last bachelor's degree is less than those with an equivalent high school education history. This study aims to determine what factors will increase student investment interest in the capital market. This study uses quantitative methods with an associate's approach. This study hypothesizes that there is an influence between financial self-efficacy on investment interest and financial literacy, there is an influence of financial literacy on investment interest. Financial literacy can mediate financial self-efficacy with investment interest.