Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Drug-Response Prediction Model of APC Mutant Colon Cancer Patient-Derived Organoids for Precision Medicine

Simple Summary As a first-line chemotherapeutic for colorectal cancer (CRC), FOLFOX, XELOX, and similar regimens are recommended as adjuvant therapies following CRC surgery, according to the NCCN guidelines. In stage IV patients, targeted therapies like cetuximab and bevacizumab are used in combination. The decision to add either irinotecan-based regimens or oxaliplatin-based regimens, FOLFIRI is typically based on a physician’s subjective judgment due to the lack of clear selection criteria. Therefore, having the ability to precisely predict the therapeutic response to these two drugs could help prioritize the use of the most effective drug in stage IV patients. Previous research efforts aimed to predict therapeutic responses to these two drugs using organoids. While irinotecan showed promising predictability, predicting the response to oxaliplatin remained challenging. In this study, new drug screening conditions were identified to address this issue. Through additional research using CRC organoids, this paper contributes to the prediction of drug responses in CRC patients. Abstract Colorectal cancer is the third most common cancer in the world, with an annual incidence of 2 million cases. The success of first-line chemotherapy plays a crucial role in determining the disease outcome. Therefore, there is an increasing demand for precision medicine to predict drug responses and optimize chemotherapy in order to increase patient survival and reduce the related side effects. Patient-derived organoids have become a popular in vitro screening model for drug-response prediction for precision medicine. However, there is no established correlation between oxaliplatin and drug-response prediction. Here, we suggest that organoid culture conditions can increase resistance to oxaliplatin during drug screening, and we developed a modified medium condition to address this issue. Notably, while previous studies have shown that survivin is a mechanism for drug resistance, our study observed consistent survivin expression irrespective of the culture conditions and oxaliplatin treatment. However, clusterin induced apoptosis inhibition and cell survival, demonstrating a significant correlation with drug resistance. This study’s findings are expected to contribute to increasing the accuracy of drug-response prediction in patient-derived APC mutant colorectal cancer organoids, thereby providing reliable precision medicine and improving patient survival rates.
Using Machine Learning With Technological Innovation Factors to Predict the Transferability of University Patents

We quantify the impact of technological innovation factors on university patent transferability, accurately identify transferable patents, and address the lack of interpretability in existing patent transferability models. Firsly, we apply the latent Dirichlet allocation (LDA) model to conduct text mining and feature extraction on abstracts of university patents in the field of artificial intelligence to obtain the technological innovation features of university patents. We then construct a patent transferability fusion index system that includes technological innovation features and quality features. Four typical machine learning algorithms, namely support vector machine (SVM), random forest (RF), artificial neural network (ANN), and extreme gradient boosting (XGBoost) are used to predict university patent transferability. We use SHapley Additive exPlanations (SHAP) to explore feature importance and interactions based on the model with the strongest performance. Our results show that (1) XGBoost outperforms the other algorithms in predicting university patent transferability; (2) fusion indicators can effectively improve prediction performance with respect to university patent transferability; (3) the importance of technological innovation features generated with XGBoost is generally high; and (4) the impact of both technology innovation and patent quality features on university patent transferability is nonlinear and there are significant positive interaction effects between them.
Non-Alpine Habitat Use and Movements of Mountain Goats in

The ecosystem management component of the Morice & Lakes IFPA has em barked on sev er al projects that assess biodiversity, ecological attibutes, and fiand wildlife habitat. These projects will provide important ecological data that will be used in learning scenario de vel op ment for the IFPA’s Sus tain a ble Forest Man age ment Plan.
Monitoring Of Coastal Waters Of The Baltic SeaBy Airborne Imaging Spectrometer AISA

Aim of the present work is to test what parameters of coastal waters could be quantitatively and operatively monitored with passive optical sensors from airborne and/or satellite measurements. Airborne imaging spectrometer AISA was used for remote measurements. Flight campaign was carried out in the Archipelago Sea, south-western coast of Finland. Simultaneous in situ measurements were carried out onboard research vessel Muikku and two outboard work boats. Suitability of more than seventy retrieval variables, proposed by different authors, was tested in estimation of concentrations of chlorophyll a, suspended matter and pheophytin, as well as water turbidity and Secchi disk depth.
AN ASSESSMENT OF POTENTIAL CLIMATE CHANGE IMPACTS ON FLOOD RISK IN CENTRAL VIETNAM

Flood is a natural feature of the environment and is also one the most frequent hazardous natural disaster. The impacts of flood are highly devastating and usually causing economic depression and direct damages to the livelihood, properties, and lives of the people. In recent years, the extended flat territory along the long coastline with the tropical cyclone frequency is result of flood problem in the central region of Vietnam. In an attempt to deal with this adversity, this paper aims to manifest the feasibility of assessing flood simulations that corresponds to the impacts of climate change. The system was developed using the outputs of the Hadley Centre Coupled Model, version 3 (HadCM3) for A2 and B2 scenarios and a coupling of hydrological – hydrodynamic models. The results indicated that the weather will become hotter in the future with the increase of temperature between 0.4°C to 2.2°C and 0.19°C to 0.6°C under A2 and B2 scenarios, respectively. On the other hand, the annual rainfall will also increase between 3.3% to 14.5% and 3.6% to 6.8% under A2 and B2 scenarios, respectively. The results also demonstrated that potentially serious increases in runoff and water level under future climate change scenarios. The unanticipated consequences might play a large role in destruction of crops, transportation, water supply, and communities located in the Huong River Basin. Additionally, the outcomes of this study can be applied for the entire Huong River Basin in order to mitigate the flood problems in the future.
Tolerability and Acceptability of an Exogenous Ketone Monoester and Ketone Monoester/Salt Formulation in Humans

Exogenous ketone ester and ketone ester mixed with ketone free acid formulations are rapidly entering the commercial marketspace. Short-term animal and human studies using these products suggest significant potential for primary or secondary prevention of a number of chronic disease conditions. However, a number of questions need to be addressed by the field for optimal use in humans, including variable responses among available exogenous ketones at different dosages; frequency of dosing; and their tolerability, acceptability, and efficacy in long-term clinical trials. The purpose of the current investigation was to examine the tolerability, acceptability, and circulating R-beta-hydroxybutyrate (R-βHB) and glucose responses to a ketone monoester (KME) and ketone monoester/salt (KMES) combination at 5 g and 10 g total R-βHB compared with placebo control (PC). Fourteen healthy young adults (age: 21 ± 2 years, weight: 69.7 ± 14.2 kg, percent fat: 28.1 ± 9.3%) completed each of the five study conditions: placebo control (PC), 5 g KME (KME5), 10 g KME (KME10), 5 g (KMES5), and 10 g KMES (KMES10) in a randomized crossover fashion. Circulating concentrations of R-βHB were measured at baseline (time 0) following an 8–12 h overnight fast and again at 15, 30, 60, and 120 min following drink ingestion. Participants also reported acceptability and tolerability during each condition. Concentrations of R-βHB rose to 2.4 ± 0.1 mM for KME10 after 15 min, whereas KMES10 similarly peaked (2.1 ± 0.1 mM) but at 30 min. KME5 and KMES5 achieved similar peak R-βHB concentrations (1.2 ± 0.7 vs. 1.1 ± 0.5 mM) at 15 min. Circulating R-βHB concentrations were similar to baseline for each condition by 120 min. Negative correlations were observed between R-βHB and glucose at the 30 min time point for each condition except KME10 and PC. Tolerability was similar among KME and KMES, although decreases in appetite were more frequently reported for KMES. Acceptability was slightly higher for KMES due to the more frequently reported aftertaste for KME. The results of this pilot investigation illustrate that the KME and KMES products used increase circulating R-βHB concentrations to a similar extent and time course in a dose-dependent fashion with slight differences in tolerability and acceptability. Future studies are needed to examine variable doses, frequency, and timing of exogenous ketone administration for individuals seeking to consume ketone products for health- or sport performance-related purposes.
Evaluation of Shear Bond Strength and Microleakage of Self-adhesive Giomer

This study was aimed to evaluate the bonding performance of a self-adhesive giomer and compare it to a conventional flowable composite resin with regard to shear bond strength and microleakage in enamel and dentin. Healthy human premolars extracted for orthodontic treatments were used in the study. For shear bond strength tests, enamel and dentin specimens were prepared for the study group with selfadhesive giomer and for the control group with conventional flowable composite resin with a 5th-generation adhesive system. A universal testing machine was used to measure the shear bond strength. For the microleakage tests, specimens were immersed in a 2% methylene blue solution for 24 hours, cut into sections, and evaluated with a stereomicroscope for the extent of dye penetration. The results of the study showed no statistically significant difference in shear bond strength between the self-adhesive giomer and the conventional flowable composite resin in enamel (p = 0.091). On the contrary, in dentin, the self-adhesive giomer showed significantly lower shear bond strength (p < 0.0001). The microleakage of the selfadhesive giomer was significantly higher than that of the conventional flowable composite resin (p = 0.002). Self-adhesive giomer is considered useful for restoring small cavities at the enamel level of pediatric patients by reducing chair time with the advantage of a simple bonding process. However, as the study was conducted in a laboratory setting, further research in a clinical environment is deemed necessary.
Interaction of Graphene Oxide Particles and Dendrimers with Human Breast Cancer Cells by Real-Time Microscopy

Graphene oxide (GOX) has become attractive due to its unique physicochemical properties. This nanomaterial can associate with other dendrimers, making them more soluble and allowing better interaction with biomacromolecules. The present study aimed to investigate, by real-time microscopy, the behavior of human breast cancer cells exposed to particles of materials based on graphene oxide. The MCF-7 cell line was exposed to GOX, GOX associated with Polypropylenimine hexadecaamine Dendrimer, Generation 3.0—DAB-AM-16 (GOXD) and GOX associated with polypropyleneimine—PAMAM (GOXP) in the presence or absence of fetal bovine serum (FBS). GOX, GOXD and GOXP were taken up by the cells in clusters and then the clusters were fragmented into smaller ones inside the cells. Real-time microscopy showed that the presence of FBS in the culture medium could allow a more efficient internalization of graphene materials. After internalizing the materials, cells can redistribute the clumps to their daughter cells. In conclusion, the present study showed that the particles can adhere to the cell surface, favoring their internalization. The presence of FBS contributed to the formation of smaller aggregates of particles, avoiding the formation of large ones, and thus transmitted a more efficient internalization of the materials through the interaction of the particles with the cell membrane.
Prickly Connections: Sociodemographic Factors Shaping Attitudes, Perception and Biological Knowledge about the European Hedgehog

Simple Summary The modern lifestyle, including indoor-centric living, urbanization and limited exposure to nature, contributes to the estrangement of humans from nature and a rapid decline in people’s natural history knowledge. Meanwhile, several wild species are adapting and thriving in urban environments alongside humans. How should we see the rising human disconnect with nature, even while urban wildlife increases and environmental education programmes are deployed? How does this lack of connection affect perception and attitude towards wildlife? What is the role of the sociodemographic context? To address these questions, we used a keystone species as a study model—the European hedgehog. We collected data via online questionnaires that comprised four main sections: (i) socio-demographic features; (ii) feelings, attitude and perception; (iii) natural history knowledge about species; and (iv) self-evaluation about the extent of knowledge and past experience. The data indicate generally positive feelings and attitudes towards hedgehogs. We found that academic qualifications and past experience with the species shaped people’s attitudes and natural history knowledge; however, the extent of knowledge, overall, was low and the study population was self-aware of this. We discuss the relevance of citizen profiling and possible avenues to enhance nature experience, improve knowledge, and increase public support for conservation measures. Abstract The modern lifestyle of humans is leading to a limited exposure to nature. While several wild species are adapting and thriving in anthropic environments, natural history knowledge is declining, and positive attitudes and behaviours towards nature are facing challenges. Because anticipating attitudes and engendering broad-based support for nature-related measures requires a good grasp of social contexts, we set out to evaluate the sociodemographic factors driving the perception, attitudes towards, and natural history knowledge of a keystone species—the European hedgehog. In 2022, we conducted a questionnaire answered by 324 Portuguese adults. We found generally positive feelings and attitudes towards this species. A higher degree of academic qualifications and previous personal experience with the species seem to play a role in (i) people’s perception about human impacts on hedgehogs and (ii) positive attitudes, especially during encounters where the animals were in difficulty. Despite this, the extent of natural history knowledge was low overall, and the study population was self-aware of this. Our insights underline the need to tailor educational programmes if we are to encourage people to re-establish meaningful connections with nature, to foster social support for biodiversity stewardship, and to implement the One Health approach in a way that resonates with distinct social groups.
Reconceptualizing Social and Emotional Competence Assessment in School Settings

The mental health needs of youth are both significant and increasing. Recent advancements have highlighted the need to reduce psychological distress while promoting the development of important social and emotional competencies. Current social and emotional assessment tools are limited in important ways that preclude their widespread use. In the current article, these limitations are discussed. A novel social and emotional learning assessment framework guided by methodological and theoretical innovations is presented. Future research directions and opportunities are discussed.
The Practice of Water Purification and Landscape Construction in Wu River Wetland

This article mainly discusses the concrete project practice of water purification and landscape construction in Wu River Wetland. According to actual conditions of the wetland, cofferdam, dam, sluice and overflow weir of the water conservancy projects are taken to the upstream two river coming water for distribution configuration, making the river flow through the uniform ecological wetland. In wetland areas, all kinds of aquatic plants are scientific configured to achieve the purpose of purifying water quality by using aquatic plants. On the whole the planning and design of the wetland is made with gardening art skills, based on ecological water purification function, to greatly enhance the landscape quality of Wu river wetland, to achieve the unifying of the wetland ecological restoration and landscape construction and to improve the ecological environment of the wetland.
Study on Predicting University Student Performance Based on Course Correlation

Performance prediction has proven to be an effective method for monitoring learning progress, managing student performance, and enhancing teaching quality. In an effort to analyze and predict students' grades in colleges and universities, a comprehensive database of student information is utilized along with big data technology to mine the correlation between courses. To achieve this, a student performance prediction model (SPCA) based on course association is proposed. The model selects 29 course grades from industrial engineering students in a particular school's class of 2018-2020. The courses are then clustered into three categories: mathematical computation, general and professional fundamentals, and practical application. This clustering is accomplished using the Self-Organizing Map (SOM) algorithm. Subsequently, the Apriori algorithm is employed to mine association rules among the courses. Finally, a decision tree algorithm is utilized to predict the grades of previous courses within the same category, based on the association rules discovered. The outcomes of this research can optimize course scheduling, assist students in planning their study plans, and provide practical reference value for improving teaching quality and teaching management.
The photosynthetic response of four seral deciduous broad-leaved tree seedlings grown under elevated CO 2 concentrations

To test the relationship between successional traits and photosynthetic response to elevated CO 2 , we evaluated the photosynthetic and biochemical traits in the leaves of four deciduous broad-leaved tree species with different successional traits grown under ambient ( 370 µmol mol - 1 ) and elevated ( 720 µmol mol - 1 ) CO 2 concentrations ( CO 2 ) . All four seedlings showed photosynthetic downward regulation, which is characterized by successional type-specific differences. In the mid-successional tree species, Magnolia hyporeuca Siebold et Zucc. , both stomatal factors; stomatal conductance ( gs ) and stomatal limitation ( ls ) and non-stomatal factors; maximum carboxylation rate of RuBP ( V cmax ) , leaf nitrogen content ( N area ) , leaf mass per area ( LMA ) are affected, but in the mid-successional tree species, Quercus mongolica Fischer ex Ledeb . var . crispula ( Blume ) Ohashi, and the two late successional tree species, Prunus ssiori F. Schmidt and Carpinus cordata Blume, non-stomatal factors are affected by the photosynthetic rates. The decrement of N area and increment of LMA imply the accumulation of photosynthates in the leaves and the dilution of nitrogen. The accumulated photosynthates and the dilution of nitrogen affected the photosynthetic response of the studied species to elevated CO 2 . The results suggested that tree species with different successional traits show different stomatal and non-stomatal responses to elevated CO 2 .
Biochar-Amended Media for Enhanced Nutrient Removal in Stormwater Facilities

Nutrients from roadway stormwater runoff contribute to eutrophication of water bodies. Although bioretention facilities remove many stormwater pollutants by precipitation, filtration, sorption, microbial degradation and plant uptake, limited removal of nitrogen compounds is often reported. This project explores a new technology incorporating biochar into the upper unsaturated soil media of bioretention facilities to enhance removal of nitrogen compounds. Biochar is a thermal decomposition product from biomass heated at relatively low temperature (<700C) with limited oxygen. Several studies have examined biochar as a surface sorbent to remove contaminants in the environment, utilizing the high internal porosity and surface area of this carbonaceous material. In this work, we report on biochar’s ability to increase removal of nitrogen compounds in bioretention media in two ways: sorption of ammonium, and increasing water retention and thus retention time for nitrogen cycling. Laboratory experiments were conducted to evaluate the ability of two types of biochar Soil Reef (SR) biochar (a commercial wood biochar) and poultry litter (PL) biochar to remove ammonium-nitrogen (NH4 -N). Ammonium sorption batch experiments showed 74%, 43%, and 37% of the input NH4 + was adsorbed by 0.2 g of, respectively, PL400-L (400 C pre-leached with DI water), PL500-L, and SR-L biochar in 10 mL 0.5 mg/L NH4 + solution. Water retention measurements indicated the volumetric water content of a uniform sand amended with 7% SR-L or PL300-L biochar was 4.5 or 2.3 times higher than pure sand at matric potential of -37 cm H2O. In conjunction with these laboratory data, we propose a pilot-scale test facility for quantifying nitrogen compound removal with biochar-amended bioretention media. 197 World Environmental and Water Resources Congress 2014: Water without Borders © ASCE 2014
Conventional or Shariah Compliant Investment: Performance Evaluation of Mutual Funds in Pakistan

The current study was initiated to compare the performance of conventional and Shariah-compliant mutual funds in Pakistan, keeping in view the contradictory opinions found in the literature in this regard. The data utilized to conduct the analysis covered the time span 2013-2021. Assessment of risk and return tradeoff was made with three ratios, namely Jenson’s alpha, Treynor ratio, and Sharpe ratio by evaluating the monthly returns of conventional and Shariah-compliant mutual funds. The findings revealed that Shariah-compliant mutual funds outperformed conventional funds in terms of absolute risk measure, higher Sharpe ratio, and low coefficient of variation. While, in terms of funds’ exposure to systematic risk, mixed results were obtained for both types of funds. The results produced sufficient information about the risks and returns associated with the two kinds of mutual funds which would enable fund managers and investors to make informed decisions while selecting the best mutual fund, thus generating maximum returns and with minimum risks.
VK1™ - A next-generation Airborne Gravity Gradiometer

The minerals exploration industry’s demand for a highly precise airborne gravity gradiometer has driven development of the VK1™ Airborne Gravity Gradiometer, a collaborative effort by Rio Tinto and the University of Western Australia. VK1™ aims to provide gravity gradient data with lower uncertainty and higher spatial resolution than current commercial systems. In the recent years of VK1™ development, there have been significant improvements in hardware, signal processing and data processing which have combined to result in a complete AGG system that is approaching competitive survey-ready status. This paper focuses on recent improvements. Milestone-achieving data from recent lab-based and moving-platform trials will be presented and discussed, along with details of some advanced data processing techniques that are required to make the most use of the data.