Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating photosynthetic performance of transgenic soybean harboring CKX13 under salinity conditions

Cytokinins (CKs) are considered one of the critical phytohormones with an important role in plant response to abiotic stresses. One of the key enzymes in regulating CK levels is CK oxidase/dehydrogenase (CKX), which catalyzes the irreversible CK degradation. Although CKX gene members in soybean (Glycine max) have been identified, their importance in plant tolerance against salinity has not yet been fully elucidated. In this study, GmCKX13, a gene with upregulated expression in various tissues of soybean at various stages under water deficit condition as shown in previous investigation, was selected for exploring its role in relation to photosynthetic performance under salt stress conditions. The results showed that the transgenic soybean overexpressing GmCKX13 could maintain a better assimilation rate compared to their wild-type (WT) counterparts under the salinity condition. This could be explained by the higher chlorophyll content and the less damage caused by the stress in the photosynthetic machinery of the transgenic plants. According to the analyses, the transformers displayed higher values of maximal photosystem II (PSII) photochemical efficiency (Fv/Fm), maximal quantum yield of primary PSII photochemistry (φPo), quantum yield for electron transport (φEo) and efficiency for electron being transferred from QA- to plastoquinone (ψEo). The evaluation for the overall photosynthetic performance using performance index in absorption basis (PIABS) also supported the differential photosynthesis potential between the two genotypes. Collectively, these findings suggested that appropriate GmCKX13 modulation could enhance photosynthetic adaptation to salt-stressed conditions in soybeans.
WORK RELEVANCE IN CIVIL ENGINEERING EDUCATION

The Norwegian government states in the white paper “Education for restructuring – increased working relevance in higher education” (Meld. St. 16 (2020-2021)) that to prepare students for the jobs of tomorrow educational institutions need to decrease the gap between the academics and the industry. An internship can be difficult to organise for some study programmes as it usually involves a considerable degree of effort and time. Hence, this paper investigates what the students consider to be work relevant in their study, and alternatives to internship for the study programmes to better prepare the students for the industry. Two surveys were distributed at the beginning of October 2022 to all the bachelor and master students in Civil Engineering at the University of Agder: one for the bachelor students and one for the master students. The Civil Engineering Department at the University of Agder has made various attempts to increase work relevance. Despite this, the students still rate the work relevance relatively low. The result from the surveys indicates that the students find many of the courses and the design of the lectures to be work relevant. The findings of this study suggest excursions, company presentations, laboratory work, guest lectures and projects to enhance the work relevance in a study programme. This study could help study programmes improve their work relevance without going to the extent of implementing internships.
The Narrative Practice Hypothesis: Origins and Applications of Folk Psychology

Psychologically normal adult humans make sense of intentional actions by trying to decide for which reason they were performed. This is a datum that requires our understanding. Although there have been interesting recent debates about how we should understand ‘reasons’, I will follow a long tradition and assume that, at a bare minimum, to act for a reason involves having appropriately interrelated beliefs and desires.
Drug-Induced Perturbations of the Bile Acid Pool , Cholestasis , and Hepatotoxicity : Mechanistic Considerations Beyond the Direct Inhibition of the Bile Salt Export Pump

Pharmaceutical Candidate Optimization, Bristol-Myers Squibb, Princeton, New Jersey (A.D.R., Y.L.); Pharmaceutical Candidate Optimization, Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); Leads Discovery and Optimization, Bristol-Myers Squibb, Princeton, New Jersey (M.E.C.); and Leads Discovery and Optimization, BristolMyers Squibb, Wallingford, Connecticut (L.E., T.Z.) DMD Fast Forward. Published on October 10, 2013 as doi:10.1124/dmd.113. 054205
COMBATTING LONELINESS BY INTRODUCING A START-UP PROJECT FOR FIRST-YEAR STUDENTS

Loneliness among university students is a major issue. For new students, the first week at the university is crucial to develop a new social network and possibly reducing loneliness. This study aimed to investigate the effect of having a group project for new university students in the start-up week of the first semester. The social aspects were the focus of this study, however, also the students' reception of the project task is investigated. The students were working in groups of 4–5 students and were asked to design a small student cottage. To investigate the effects of having a group project at the beginning of the first semester, a survey was distributed at the end of the first week The results indicated several benefits both academically and socially. 88% rated the project to a high degree and to a very high degree contributed to academic collaboration. Furthermore, when asked to which extent the project encouraged a social arena and contributed to gaining new friends, 90% and 79% respectively, replied either to a high degree or to a very high degree . The results of this study can provide other educational institutions with insights on how to meet first-year students, and how to provide a social arena. By having a Start-up project which is both a theoretical and physical task, the students find other students to befriend and work with.
Post Intragastric Balloon Removal Complications in Patients with Morbid Obesity

Background: If the obese patient is willing to take part in a weight loss program that is medically supervised, intragastric balloon implantation has been found to be a safe, well-tolerated, and moderately cost minimally invasive surgery for weight loss. The present research is a retrospective investigation that looks at previously reported cases to determine if the patient, the technology, or the practitioner is to blame for major visceral complications. Aim: The goal of this research was to document the difficulties experienced by morbidly obese patients following the removal of a bio-enteric intragastric balloon. Patients and methods: Fifty morbidly obese patients (both sexes, ages 22-53 years) from the Suez Canal University Hospitals' Internal Medicine. Results: The patients' ages ranged from 22 to 53 years old, with a mean ±SD of 35.79 years. The average weight at the outset was 126.69±9.79 kilograms, or approximately 116.8±89.22 pounds. It was discovered that belching was the most often reported side effect, with 30 people (71.4% of the sample) reporting it. 18 patients (42.9%) reported feeling nauseous, 8 patients (19%) reported having bad breath, and 15 patients (35.7%) reported having reflux. Conclusion: Despite these concerns, hollow viscera complications are uncommon after a BIB or Orbera balloon implantation. By mandating training and accreditation programmes for bariatric endoscopic doctors and maintaining close supervision of obese patients undergoing balloon procedures, these complications can be avoided.
NON-EXPERT PRACTICAL APPLICATION OF AI VISION SYSTEMS IN DESIGN ENGINEERING PROJECTS

Design projects units for BSc (Hons) Design Engineering students at Bournemouth University integrate and apply knowledge from a range of taught units together with self-directed learning and towards solving design problems. Recently, level 6 (FHEQ) project students have proposed and designed solutions that require AI vision-systems. These projects presented a problem for supervision, with limited, or no expertise in the technology or available equipment; students therefore treated these subsystems as a “black-box” exercise. To address these issues a set of technical requirements were compiled, a range of AI technology solutions were identified before selecting the Nvidia Jetson Nano. From the literature, a stream-lined practical program was developed to introduce the technology to level 5 and level 6 project students as part of their design education. This provided hands on experience through familiarization with the interface and the use of pretrained models before students re-trained networks with their own datasets. Level 5 students utilised the technology to develop a scratch detection machine for sorting damaged components. Level 6 students were provided with the opportunity to integrate the technology into projects where appropriate and two students did so; one developed a device to identify people trapped in buildings after an earthquake, the second developed a device for monitoring chili-plants when grown under polytunnels. Developing and delivering the introductory programme as a non-expert learning pathway has enhanced the student experience within design education, provided a simple workflow that students can utilise and build upon, and led to successful student outcomes.
Evaluating the plasma interleukin-1 beta and interleukin-8 levels in patients with chronic obstructive pulmonary diseases following treatment with allogeneic mesenchymal stem cell derived from umbilical cord tissues and platelet rich plasma

Chronic obstructive pulmonary disease (COPD) is a common disease which negatively affects living quality and longevity of patients. Unfortunately, current COPD treatments are not radical. COPD is characterized by persistent neutrophil infiltrations mediated by inflammatory cytokines including interleukin (IL)-1β and IL-8 in the airway. Mesenchymal stem cells (MSCs) have been proven to suppress inflammation, modulate the immune system and can be regenerative. Allogeneic MSCs have been used to treat COPD patients across the world and produced positive clinical outcomes. In this study, we evaluated plasma IL-1β and IL-8 concentrations in 10 stage-D COPD patients before being transplanted with allogeneic MSCs derived from umbilical cord tissues (UC-MSCs) activated by platelet-rich plasma (PRP) and at 4 follow- ups (after 1, 3, 7, 12 months), as well as determined their associations with COPD clinical and sub-clinical parameters. Plasma IL-1β and IL-8 concentrations were measured using Multiplex Immunoassay. We found that plasma IL-8 levels were significantly reduced from 3.2 to 1.9 pg/ml after 12 months of treatment which is accompanied by the notable decrease in C-reactive protein (CRP). Exacerbation episodes were significantly decreased from 3 to 1. Plasma IL-1β levels were positively correlated with IL-8 levels and white blood cell (WBC) levels. Parallel measurements of plasma IL-1β and IL-8 may help assess the disease progression of COPD patients after the treatment with UC- MSCs and PRP. Blockage of IL-1β or IL-8 could be a valid strategy for the prevention and control of COPD.
Longitudinal Oscillations of the South Asian High and the Subtropical Western Pacific High during Boreal Summer

Based on the NCEP/NCAR monthly reanalyses, the interannual variation of the longitudinal locations of the South Asian high (SAH) and the subtropical western Pacific high (SWPH) in summer and its association with the diabatic heating anomalies in the atmosphere has been investigated. Results show that the longitudinal location of the SAH is significantly correlated with that of the SWPH on an interannual basis in summer, especially in July. The two anticyclonic systems move towards each other or move away from each other in terms of their longitudinal oscillations. Further study suggests that the heat source (sink) strengthens (weakens) the ascending motion of the atmosphere in the East of the Tibetan Plateau, which reinforces (reduces) the highlevel divergence. Consequently, the intensity of the SAH increases (decreases) with its ridge extending eastward (withdrawing westward). In addition, the abnormal descending (ascending) motion of the atmosphere occurs in middle and low latitudes over the western Pacific as a result of the anomalous northerly in upper (lower) troposphere, which is accompanied by adiabatic heating (cooling). Therefore, the deep and warm SWPH is intensified (declined) and extends westward (withdraws eastward).
Análisis de las secuencias de actividades: reflexión e intervención en el aula de Ciencias. El caso de una profesora de secundaria

We describe a case study focused on analyzing activity sequences of a secondary education science teacher about how action- oriented reflection and action itself interact, and the influence on teacher professional development. The study comprised two levels - one qualitative, and the other critical in nature. We found there to exist a hard core of the teacher's explicit theories that is of great importance to understand the obstacles affecting her professional development and determining the interaction between reflection and classroom practice. The findings suggested that the teacher was in the midst of a process of the two processes becoming more complex, allowing us to move closer to her possible perspectives of development.
Family group structure of the endangered Yellow Cardinal (Gubernatrix cristata)

The monogamous mating system, where a male and a female constitute the reproductive unit and share the parental care, predominates among bird reproductive strategies. However, there are also other mating systems with diverse parental care roles which may have implications for population breeding success and be relevant for their management and conservation. We evaluated the family group structure of the Yellow Cardinal (Gubernatrix cristata) in La Pampa province of central Argentina. During the 2020–2021 breeding season we carried out 280 bird surveys to search for the presence of Yellow Cardinals. We registered 87 individuals (11 solitary individuals, 12 pairs, two males together, and 13 family groups). Most family groups corresponded to the typical monogamous structure, but two family groups (8%) were composed of two adult males, an adult female and at least a juvenile. We also explored 1646 Yellow Cardinal records at citizen science platforms and none of them included a family group with more than two adults. Even so, it would be feasible to release seized groups of two males together, to promote breeding success. Further studies are necessary to evaluate the causes of the presence of extra males and their incidence on the breeding performance of this globally endangered species. This may help to understand its natural history and for planning management and conservation actions. Graphical Abstract
Assessing Methane Emissions From Tropical Wetlands: Uncertainties From Natural Variability and Drivers at the Global Scale

Methane (CH4) emissions from tropical wetlands represent half of the global wetland emissions, but uncertainties remain concerning the extent of tropical methane sources. One limitation is to conceive tropical wetlands as a single ecosystem, especially in global land surface models. We estimate CH4 emissions and assess their environmental and anthropogenic drivers. We created a data set with 101 studies involving 328‐point measurements, classified the sites into four wetland types, and included relevant biological and environmental information. We estimate the global CH4 emission rate from tropical wetlands as 35 (5–160) mg CH4 m−2 d−1 (median, first and third quartile) and an annual global rate of 94 (56, 158) Tg y−1. Fluxes differed among the wetland types, but except for anthropogenic factors, significant environmental drivers at the global scale could not be quantitatively identified because of high flux variability, even within wetland types. Coastal wetlands generate median emissions of 12 (5–23) Tg y−1. Inland deep‐water wetlands emit 53 (32–114) Tg y−1, with highly variable areal extent. Emissions from inland shallow‐water wetlands are 52 (33–78) Tg y−1 with variation due to seasonal changes in water table level. Human‐made wetlands emit 17 (10−4) Tg y−1. Pollution and N inputs from agriculture are significant anthropogenic drivers of emissions from tropical wetlands. Specific drivers of change need to be considered according to wetland type when estimating global emissions as well as their specific vulnerability to global change. Additionally, these differences should be considered when implementing wetland management practices aimed at decreasing methane emissions.
Acne Scars and Fractional Laser: A Comprehensive Review

Background: Acne scars may significantly affect a person's self-esteem and quality of life. Fractional CO 2 laser therapy has emerged as a possible treatment for acne scars. Objectives: This article aims to offer a complete overview of fractional CO 2 laser therapy for the treatment of acne scars. It discusses the classification of acne scars, the principles and types of fractional CO 2 laser , its efficacy and safety, the procedure and post-treatment care, combination therapies and adjunctive treatments, as well as future directions and emerging technologies in the field. Conclusions: Fractional CO 2 laser is a promising method for the treatment of acne scars, with consistent effectiveness and a reasonably safe profile when administered by trained specialists. It provides benefits such as scar resurfacing, minimum recovery time, and personalised treatment alternatives. However, it is essential to consider individual scar features, skin type, and patient preferences while picking the most appropriate treatment method.
Controls on the Formation of Algal Blooms in the Lower Chesapeake Bay and Its Tributaries

CONTROLS ON THE FORMATION OF ALGAL BLOOMS IN THE LOWER CHESAPEAKE BAY AND ITS TRIBUTARIES Ryan E. Morse Old Dominion University, 2011 Director: Dr. Margaret R. Mulholland Algal blooms occur seasonally in the Chesapeake Bay and its tributaries, and while the consequences of algal blooms have been qualitatively and quantitatively assessed, the causes of algal blooms and mechanisms of bloom initiation are still not well understood despite decades of research. In order to understand nutrient dynamics and other factors that promote the initiation of algal blooms, the Lafayette River, a tidal subestuary of Chesapeake Bay that experiences seasonal algal blooms, was sampled daily in the fall of 2005. Three phytoplankton blooms (Chlorophyll a concentrations exceeding twice the average of monthly measurements from 2000-2009) occurred during this period, a mixed bloom of Akashiwo sanguinea and Gymnodinium sp. , a Skeletonema costatum bloom, and a monospecific Gymnodinium sp. bloom. Over the sampling period, nutrient concentrations increased following precipitation events and were elevated between bloom periods but low during blooms. All measured forms of nitrogen were positively lag-correlated with dinoflagellate abundance between 3 and 5 days in reverse time. Concentrations of NO2" reached 10 uM between September and October, indicative of incomplete nitrification. Over a 24-h period, nutrient concentrations and chlorophyll a biomass varied by an order of magnitude and were strongly linked to the tidal phase. Massive blooms of the harmful alga Cochlodinium polykrikoides Margalef occurred in the lower Chesapeake Bay and its tributaries during the summers of 2007, 2008, and 2009. The Lafayette River appears to act as initiation grounds for these blooms. However in 2008 there were also localized sites of initiation and growth of C. polykrikoides populations within the mesohaline portion of the James River. In 2008, bloom initiation appeared to be correlated with intense, highly localized rainfall events during neap tides. During 2009, bloom formation occurred when water temperatures had stabilized at 26°C during a period of calm winds, neap tides, high positive tidal residuals, higher salinity, low nutrient concentrations and a low dissolved inorganic nitrogen (DIN) to dissolved inorganic phosphorous (DIP) ratio (DIN:DIP). Tidal flushing transported the C. polykrikoides bloom from the Lafayette River into the lower James River where it was transported upriver by local estuarine circulation. A combination of physical factors including, seasonal rainfall patterns, increased stratification, nutrient loading, spring-neap tidal modulation, and complex estuarine mixing and circulation allowed C. polykrikoides to spread and form massive blooms over large portions of the tidal James River and lower Chesapeake Bay. The primary control on the formation of algal blooms in the Lafayette River was water column stability, and bloom formation occurred during neap tides, when there was low wind-driven mixing, and increased buoyancy from rainfall and runoff.
Balancing Logit Variation for Long-tailed Semantic Segmentation Supplementary Material

In this supplementary material, we first provide more details for reproducibility in Sec. 2. We further explore a potential improvement of BLV and corresponding preliminary results in Sec. 3. Then we demonstrate our BLV with more UDA methods on both the GTA5 → Cityscapes and SYNTHIA → Cityscapes settings in Sec. 4. Intuitive feature space visualization is demonstrated by t-SNE method in Sec. 5. Pseudo-code for direct understanding of BLV is provided in Sec. 6. Information about computational overhead and distribution estimation is exhibited in Sec. 7 and Sec. 8.
A Blended Soft Computing Model for Stock Value Prediction

Stock investments play a crucial role in deciding the global economic growth of the country. Investors can optimize profit and avoid risk through accurate stock value prediction models, which motivates researchers to work on various aspects of correlated features and predictive models for stock value prediction. The existing stock value prediction models used data like Twitter, microblogs, price history, and Google trends. On the other hand, Domain-specific dictionary-based deep learning evolved as a competitive model for alternative models in stock value prediction. But accuracy of these models depends on the quality of the input, the correlation among the features, and the correctness of the sentiment scores generated for the dictionary terms. Financial news sentiment analysis for stock value prediction with dictionary-based learning needs attention in improving the quality of the input and dictionary term’s sentiment score generation. The present research aims to develop a Blended soft computing model for stock value prediction (BSCM) with cooperative fusion and dictionary-based deep learning. In the current work, six Indian stocks that cover uptrend, sideways, and downtrends characteristics are considered with stock price histories and news headlines from 8th August 2016 to 31st March 2023, i.e., 2427 days. The number of records in the price history dataset is 14,562, and the news headlines dataset is 46,213. The performance of the stock value prediction can be improved by taking advantage of multi-source information and context-aware learning. The present research aims to achieve three objectives: 1. Apply cooperative fusion to combine the news headlines and price history of stocks collected from multiple sources to improve the quality of the input with correlated features. 2. Build a dictionary, FNSentiment, with a novel strategy. 3. Predict stock values using FNSentiment and News Sentiment Prediction Model (NSPM) integration. In the experimentation, the proposed model outperformed the state-of-the-art models with an accuracy of 91.11, RMSE of 10.35, MAPE of 0.02, and MAE of 2.74.