Miracle-dz/UniFAR-FTUs huggingface dataset:
Visual Intelligence in Precision Agriculture: Exploring Plant Disease Detection via Efficient Vision Transformers

In order for a country’s economy to grow, agricultural development is essential. Plant diseases, however, severely hamper crop growth rate and quality. In the absence of domain experts and with low contrast information, accurate identification of these diseases is very challenging and time-consuming. This leads to an agricultural management system in need of a method for automatically detecting disease at an early stage. As a consequence of dimensionality reduction, CNN-based models use pooling layers, which results in the loss of vital information, including the precise location of the most prominent features. In response to these challenges, we propose a fine-tuned technique, GreenViT, for detecting plant infections and diseases based on Vision Transformers (ViTs). Similar to word embedding, we divide the input image into smaller blocks or patches and feed these to the ViT sequentially. Our approach leverages the strengths of ViTs in order to overcome the problems associated with CNN-based models. Experiments on widely used benchmark datasets were conducted to evaluate the proposed GreenViT performance. Based on the obtained experimental outcomes, the proposed technique outperforms state-of-the-art (SOTA) CNN models for detecting plant diseases.
Examining gender differences in gig worker safety

A critical but often overlooked road safety concern is gender differences in road safety issues. The limited investigations have reported gender differences in road safety issues such as traffic accident rates and crash injuries. An emerging road safety issue is the safety of gig workers. Despite the exponential growth of the gig economy, little is known about road safety issues faced by gig workers, including gender‐specific road safety issues. The present study aimed to investigate whether there are gender differences in gig workers' involvement in road safety incidents and the likelihood of reporting incidents when gig working. Gig workers who provide, or have provided, ride‐hailing, courier, and food delivery services via digital platforms in Australia were invited to participate in an online survey on their involvement in road safety incidents and the likelihood that they would report road and personal safety incidents when gig working. Data from 71 gig workers (35 female gig workers; 36 male gig workers) were reported in the study. No gender differences were found in their involvement in road safety incidents and the likelihood of reporting road and personal safety incidents when gig working. Despite the lack of gender differences observed, findings from the study contributed to the research field and to closing the gender data gap. A research agenda is proposed for further data collection in gig work using a systems thinking approach to better our understanding of factors influencing the gendered participation in the gig workforce, and the health, safety, and wellbeing of gig workers.
Smell of Fire Increases Behavioural Realism in Virtual Reality: A Case Study on a Recreated MGM Grand Hotel Fire

Virtual reality allows creating highly immersive visual and auditory experiences, making users feel physically present in the environment. This makes it an ideal platform to simulate dangerous scenarios, including fire evacuation, and study human behaviour without exposing users to harmful elements. However, human perception of the surroundings is based on the integration of multiple sensory cues (visual, auditory, tactile, or/and olfactory) present in the environment. When some of the sensory stimuli are missing in the virtual experience, it can break the illusion of being there in the environment and could lead to actions that deviate from normal behaviour. In this work, we added an olfactory cue in a well-documented historic hotel fire scenario that was recreated in VR, and examined the effects of the olfactory cue on human behaviour. We conducted a between subject study on 40 naive participants. Our results show that the addition of the olfactory cue could increase behavioural realism. We found that 80% of the studied actions for the VR with olfactory cue condition matched the ones performed by the survivors. In comparison, only 40% of the participants’ actions for VR only condition were similar to the survivors.
When fixing problems kills personal development: fMRI reveals conflict between Real and Ideal selves

Many coaching approaches aim to change behavior by increasing self-knowledge. However, self-knowledge can be difficult to achieve. One hypothesis (e.g., Jung, Rogers) is that self-knowledge is challenging because there is inherent conflict between different aspects of the self. This hypothesis is foundational to Boyatzis’ intentional change theory (ICT). ICT holds that effective coaching requires deliberate sequencing of the client’s exploration of different aspects of their self. Coaches initially encourage clients to focus exclusively on their Ideal self. The ICT approach differs from that advocated by most coaching organizations that suggest collaborative goal setting at the start of the coaching engagement, encouraging clients to focus on fixing performance deficits and problematic behaviors–aspects of the Real self. If there is conflict between thinking about Ideal and Real selves, then this strategy will be suboptimal. The hypothesis of attentional conflict therefore has significant implications for coaching practice. Previous findings establish a link between attention to Ideal vs. Real selves and global vs. local visual processing, respectively. This association alone does not imply conflict because, in naturalistic settings, global and local perceptual processes usually work in concert. However, certain stimuli such as Navon figures (letters made from many smaller letters, e.g., a large E made of small R’s) create conflict due to incongruence between the global and local features. Does thinking about the self inherently generate conflict, like a Navon figure, or is it more akin to everyday perception? To answer this question the current study uses functional magnetic resonance imaging to examine the overlap in brain activity in young adults between two pairs of otherwise very dissimilar tasks: coaching interactions focused on Ideal vs. Real self; and attention to global vs. local features of Navon figures. Despite the ostensible absence of overlap in the psychological processes involved in these pairs of tasks, we find a remarkable degree of overlap in brain activity. This overlap was pronounced in higher (parietal and temporal) areas known to be involved in resolving attentional conflict. These findings provide compelling biological evidence for inherent conflict between thinking about Ideal and Real selves.
Comparisons of Clinical Competency and Job Responsibilities of Physical Therapists With and Without Postprofessional Training

Introduction. Understanding how educational pathways may influence clinical competence and work responsibilities is important in providing guidance to academic and clinic stakeholders and physical therapists (PTs) on PT career development. The purpose of this paper was to compare perceived clinical competency and job duties between PTs with formal mentored postprofessional clinical education with PTs without formal postprofessional clinical education. Review of Literature. The understanding of self-perceived clinical competence of PTs overall in the United States is limited, especially as related to the impact of postprofessional education. Furthermore, there is limited understanding of the career pathways and development of job duties of PTs in the United States. Subjects. Two thousand three hundred thirty-four PTs in the United States. Methods. An online survey was sent to licensed PTs. This survey included items measuring self-perceived clinical competency and questions related to weekly job responsibilities. Participants were categorized as residency trained, fellowship trained, or non–residency/fellowship trained. Frequency analyses and Kruskal–Wallis tests with pairwise post hoc tests were performed comparing the 3 groups. Results. Residency-trained (P < .007) and fellowship-trained (P < .001) groups demonstrated elements of higher self-perceived clinical competency compared with the non–residency-/fellowship-trained group. Both the residency- and fellowship-trained groups spent less time with patient care and more time with other responsibilities (e.g., teaching, mentoring, and research) (P < .02) during an average workweek. Fellowship-trained PTs (P < .001) spent more time with administrative duties compared with the non–residency-/fellowship-trained group. Discussion and Conclusion. Results from this paper demonstrate that residency- and fellowship-trained PTs have elements of higher self-perceived clinical competency and spend more of their job duties outside of direct patient care compared with PTs who were not residency or fellowship trained. These results may help guide PTs, academic institutions, and employers in planning and achieving specific career paths.
Impaired Sensitivity to Thyroid Hormones is Associated with Mild Cognitive Impairment in Euthyroid Patients with Type 2 Diabetes

Purpose The prevalence of mild cognitive impairment (MCI) in patients with type 2 diabetes (T2D) is rapidly increasing. Thyroid hormones are key regulators of cognitive function in adults. The purpose of this study was to investigate the relationship between thyroid hormone sensitivity and MCI in euthyroid T2D patients. Patients and Methods A total of 400 euthyroid T2D patients were enrolled in this cross-sectional study, including 218 patients with normal cognition and 182 MCI patients. The Montreal Cognitive Assessment (MoCA) was used to evaluate cognitive function. The free triiodothyronine to free thyroxine (FT3/FT4) ratio was calculated as a measure of peripheral sensitivity to thyroid hormones; the thyroid-stimulating hormone index (TSHI), thyrotrophic thyroxine resistance index (TT4RI) and thyroid feedback quantile-based index (TFQI) were calculated as measures of central sensitivity to thyroid hormones. Linear regression analysis and logistic regression analysis were performed to explore the relationships between these indices of thyroid hormone sensitivity and the MoCA score and MCI, respectively. Results Compared with the normal cognitive function group, patients in the MCI group had higher TSHI, TT4RI and TFQI but a lower FT3/FT4 ratio (P<0.05). The MoCA score was positively correlated with the FT3/FT4 ratio but negatively correlated with TSHI, TT4RI and TFQI (P< 0.05). Multivariate logistic regression analysis showed that a low FT3/FT4 ratio and high TSHI, TT4RI and TFQI were independently associated with MCI (P<0.05). After adjustment for confounding factors, the odds ratio (OR) for the association between MCI and the highest tertile of the FT3/FT4 was 0.455 (95% CI: 0.264–0.785), for the highest tertile of TSHI, the OR was 2.380 (95% CI: 1.376–4.119), for the highest tertile of TT4RI, the OR was 2.342 (95% CI:1.353–4.054), and for the highest tertile of TFQI, the OR was 2.536 (95% CI: 1.466–4.387) (P< 0.05). Conclusion Impaired sensitivity to thyroid hormones is associated with MCI in euthyroid T2D patients.
Performance of Large Language Models (ChatGPT, Bing Search, and Google Bard) in Solving Case Vignettes in Physiology

Background Large language models (LLMs) have emerged as powerful tools capable of processing and generating human-like text. These LLMs, such as ChatGPT (OpenAI Incorporated, Mission District, San Francisco, United States), Google Bard (Alphabet Inc., CA, US), and Microsoft Bing (Microsoft Corporation, WA, US), have been applied across various domains, demonstrating their potential to assist in solving complex tasks and improving information accessibility. However, their application in solving case vignettes in physiology has not been explored. This study aimed to assess the performance of three LLMs, namely, ChatGPT (3.5; free research version), Google Bard (Experiment), and Microsoft Bing (precise), in answering cases vignettes in Physiology. Methods This cross-sectional study was conducted in July 2023. A total of 77 case vignettes in physiology were prepared by two physiologists and were validated by two other content experts. These cases were presented to each LLM, and their responses were collected. Two physiologists independently rated the answers provided by the LLMs based on their accuracy. The ratings were measured on a scale from 0 to 4 according to the structure of the observed learning outcome (pre-structural = 0, uni-structural = 1, multi-structural = 2, relational = 3, extended-abstract). The scores among the LLMs were compared by Friedman’s test and inter-observer agreement was checked by the intraclass correlation coefficient (ICC). Results The overall scores for ChatGPT, Bing, and Bard in the study, with a total of 77 cases, were found to be 3.19±0.3, 2.15±0.6, and 2.91±0.5, respectively, p<0.0001. Hence, ChatGPT 3.5 (free version) obtained the highest score, Bing (Precise) had the lowest score, and Bard (Experiment) fell in between the two in terms of performance. The average ICC values for ChatGPT, Bing, and Bard were 0.858 (95% CI: 0.777 to 0.91, p<0.0001), 0.975 (95% CI: 0.961 to 0.984, p<0.0001), and 0.964 (95% CI: 0.944 to 0.977, p<0.0001), respectively. Conclusion ChatGPT outperformed Bard and Bing in answering case vignettes in physiology. Hence, students and teachers may think about choosing LLMs for their educational purposes accordingly for case-based learning in physiology. Further exploration of their capabilities is needed for adopting those in medical education and support for clinical decision-making.
Aquatic and wetland plants of northeastern North America : a revised and enlarged edition of Norman C. Fassett's A manual of aquatic plants

This is by far the best and most comprehensive manual and illustrated guide to native and naturalized vascular plantsferns, conifers, and flowering plantsgrowing in aquatic and wetland habitats in northeastern North America, from Newfoundland west to Minnesota and south to Virginia and Missouri. Published in two volumes, this long-awaited work completely revises and greatly expands Norman Fassett s 1940 classic "A Manual of Aquatic Plants," yet retains the features that made Fassett s book so useful. Features include: * coverage of 1139 plant species, 1186 taxa, 295 genera, 109 families* more than 600 pages of illustrations, and illustrations for more than 90% of the taxa* keys for each species include references to corresponding illustrations* habitat information, geographical ranges, and synonomy* a chapter on nuisance aquatic weeds* glossaries of botanical and habitat terms* a full index for each volume Wetland ecologists, botanists, resource managers, public naturalists, and environmentalists concerned with the preservation of wetland areas, which are increasingly threatened, will welcome this clear, workable, and comprehensive guide. "
A critical analysis of the current state of virus taxonomy

Taxonomical classification has preceded evolutionary understanding. For that reason, taxonomy has become a battleground fueled by knowledge gaps, technical limitations, and a priorism. Here we assess the current state of the challenging field, focusing on fallacies that are common in viral classification. We emphasize that viruses are crucial contributors to the genomic and functional makeup of holobionts, organismal communities that behave as units of biological organization. Consequently, viruses cannot be considered taxonomic units because they challenge crucial concepts of organismality and individuality. Instead, they should be considered processes that integrate virions and their hosts into life cycles. Viruses harbor phylogenetic signatures of genetic transfer that compromise monophyly and the validity of deep taxonomic ranks. A focus on building phylogenetic networks using alignment-free methodologies and molecular structure can help mitigate the impasse, at least in part. Finally, structural phylogenomic analysis challenges the polyphyletic scenario of multiple viral origins adopted by virus taxonomy, defeating a polyphyletic origin and supporting instead an ancient cellular origin of viruses. We therefore, prompt abandoning deep ranks and urgently reevaluating the validity of taxonomic units and principles of virus classification.
Therapeutic Implications of PTEN in Non-Small Cell Lung Cancer

Lung cancer remains one of the major human malignancies affecting both men and women worldwide, with non-small cell lung cancer (NSCLC) being the most prevalent type. Multiple mechanisms have been identified that favor tumor growth as well as impede the efficacy of therapeutic regimens in lung cancer patients. Among tumor suppressor genes that play critical roles in regulating cancer growth, the phosphatase and tensin homolog (PTEN) constitutes one of the important family members implicated in controlling various functional activities of tumor cells, including cell proliferation, apoptosis, angiogenesis, and metastasis. Notably, clinical studies have also documented that lung tumors having an impaired, mutated, or loss of PTEN are associated with low survival or high tumor recurrence rates. To that end, PTEN has been explored as a promising target for anti-cancer agents. Importantly, the ability of PTEN to crosstalk with several signaling pathways provides new approaches to devise effective treatment options for lung cancer treatment. The current review highlights the significance of PTEN and its implications in therapeutic approaches against NSCLC.
Comparative assessment of the accuracies of daytime land surface temperature retrieval methods using Landsat 8 and MODIS imageries in Benin, West Africa

Abstract. Land surface temperature (LST) is an important climate variable used to assess the effects of climate change. This research project aims to compare the results of mono-window (MW) and split-window (SW) algorithms against the Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat 8 Collection 2 Level-2 surface temperature (L8-C2L2) products and identify the most suitable techniques. In-situ measurements of the earth’s surface temperature and relative humidity have been recorded in 2020. LSTs have been validated using root mean square error (RMSE) based on the in-situ meteorological data. Validation analysis has indicated that the SW algorithm combined with in-situ micro-scale atmospheric water vapor content values was more accurate for LST. In the overall study area, the RMSE values of 1.09°C, 3.97°C, 4.36°C, and 6.80°C have been calculated for SW, MODIS, L8-C2L2, and MW LSTs, respectively. These results have demonstrated that the SW algorithm outperformed the other LST products. The maximum difference between the in-situ earth surface temperature and the SW algorithm was 0.79°C. These findings are essential for comparing different data-driven approaches and identifying the most efficient techniques. The study’s significance lies in identifying the most appropriate method for LST retrieval, which can aid in climate change studies and inform decision-making processes.
circ_0008285 Regulates Glioma Progression via the miR-384/HMGB1 Axis

Background Recent studies indicate that circular RNAs (circRNAs) have been implicated in the initiation or progression of a wide spectrum of diseases. In the current study, we explored the potential engagement of circ_0008285 in glioma and investigated the downstream regulators. Methods The detection of circ_0008285 level in glioma specimens and cell lines was conducted by quantitative real-time polymerase chain reaction. The chi-squared test was employed to evaluate the relationship between the circ_0008285 level and the clinical features of glioma patients. The roles of circ_0008285 on the proliferation and apoptosis of glioma cells were studied by knockdown experiment. Meanwhile, the regulatory relationship of circ_0008285, miR-384, and high mobility group protein B1 (HMGB1) was explored in glioma cells, and we explored the effects of circ_0008285/miR-384/HMGB1 pathway on glioma cells. Results In glioma specimens and cell lines, the expression of circ_0008285 was significantly increased, and a high circ_0008285 level was associated with a larger tumor size and more advanced grading in glioma patients. Furthermore, downregulating circ_0008285 suppressed proliferation and triggered apoptosis of glioma cells, which was associated with a cell cycle arrest at the G1/G0 phase. Mechanism studies indicated that circ_0008285 regulated HMGB1 by sponging miR-384. Functional experiments demonstrated that circ_0008285 promoted the malignant phenotype of glioma cells by miR-384/HMGB1 axis. Conclusion Our study revealed circ_0008285 as a novel oncogenic factor in glioma through modulating the miR-384/HMGB1 pathway, suggesting that targeting circ_0008285 could serve as a strategy for glioma management.
Fraud Triangle Perspective: Detecting Financial Statement Fraud Using the Beneish M-Score Model in Property and Real Estate Companies Listed on the Indonesia Stock Exchange

This study aims to determine the effect of Financial Stability, Financial Targets, and External Pressure on Financial Statement Fraud in Property and Real Estate companies listed on the Indonesia Stock Exchange (BEI) in 2015–2017. The research method used in this study is quantitative. The data used is secondary data in the form of financial statements and annual reports. The sampling technique in this study was the purposive sampling method, where the sample selection was based on certain criteria. The samples used in this study amounted to 30 property and Real Estate companies listed on the Indonesia Stock Exchange in 2015–2017. The analysis technique in this study uses logistic regression analysis. The results of the analysis show that financial stability has a positive effect on fraudulent financial statements, financial targets have a positive effect on fraudulent financial statements, and external pressure has no positive effect on fraudulent financial statements.
Exploring the Science of Marma - An Ancient Healing Technique: Marma Therapy

Marma Science, an extraordinary gem in the vast treasure of Ayurvedic knowledge, represents the science of specific vital places in the body (Marmas), that are the ‘seats of life’ (Prana - the vital life force). As any injury to these parts may lead to severe pain, disability, loss of function, loss of sensation, or death, therefore, they hold an important place in the science of surgery. The ancient scriptures have strictly prohibited causing any injury to the Marmas. However, recent researches have used Marma stimulation for theraputic benefits, with encouraging outcomes. Looking at these mutually conflicting, important applications of Marma Science, the present study was undertaken for its in-depth analysis. Previously, we have explored different aspects of Marma Science in ancient and classical Indian scriptures. In addition, our other study have provided detailed description of the number of Marmas, their location, structures involved, classification, effect of trauma, etc., as per classical texts, as well as correlation with modern science. Previously, we also published its use in Yoga and other ancient Indian traditions, both as a therapeutic technique, as well as for self-defense and inflicting injury on the opponents. The present article explored its application as a therapeutic procedure (Marma Therapy). Different methods of Marma stimulation have been compiled. Therapeutic classification and applications of Marmas have been listed, and several research studies on Marma Therapy have been presented. Several mechanisms for the mode of action of Marma Therapy have been discussed. It is concluded that Marma Science holds significant promise as an effective therapeutic procedure.