Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of greenhouse gas emissions in dairy cows fed with five forage systems

Abstract Thirty Holstein cows were arranged in a randomised block design for 287 days and fed rations of five forage systems: Italian ryegrass in rotation with corn (S1), hybrid ryegrass mixtures with three legumes in rotation with corn (S2) or sorghum (S3), red clover with hybrid (S4), and Perennial (S5) ryegrass pastures. In systems S1, S2, and S3, the cows remained in the barn throughout the study period and were fed total mixed ration (TMR). In systems 4 and 5, the cows grazed in a pasture and were only fed at the barn when grazing was not possible. All rations were balanced with a low quantity of concentrate at a forage/concentrate ration of approximately 80/20. Feed intake, milk quantity, and milk quality test data were entered in the program CAP2’er® to calculate the test-related carbon footprint. Results, based on 287 days trial, expressed as grams of CO2 equivalent per kilogram of fat and protein corrected milk (FPCM), were 724 (S1), 701 (S2), 764 (S3), 507 (S4), and 528 (S5). Actually, the lower results in S4 and S5 than results for S1, S2 and S3 seem more related to the inclusion of the carbon sequestration and land-use change issues than more inputs/more but not enough milk production. When soybean meal is imported, the findings highlight that soybean meal emission factor due to land use change (LUC) strongly affected CO2 equivalent emissions in systems S1, S2 and S3 where 670, 625 and 628 kilograms of soybean meal were consumed by cows in the trial. Highlights The higher productivity of double-cropping systems does not compensate for the higher amount of greenhouse gases that they emit, measured as CO2-equivalent emissions per kilogram of FPCM. Pasture-based systems emit lower quantities of greenhouse gases per kilogram of FPCM, but their milk yield is lower than that of more intensive systems. Emission factors differ considerably due to differences in soil use. The result of greenhouse gas emissions from the system will largely depend on how these emission factors are analysed.
Visual–inertial structural acceleration measurement

Structural vibration measurement is a crucial and necessary step for structural health monitoring. Recently, computer vision‐based techniques have been proposed by researchers to measure structural motion remotely. However, the direct application of vision‐based measurement to practical applications still faces some challenges, mainly because intrinsic camera vibration can introduce significant errors to the measurement results. In this study, a three‐stage approach using an embedded inertial measurement unit is proposed to compensate for the camera movement. First, camera rotations are estimated by employing a complementary filter with an adaptive gain to fuse gyroscope measurement and accelerometer data. Next, binary robust invariant scalable key‐point features are detected from the region of interest and tracked between video frames using a Kanade–Lucas–Tomasi tracker. Finally, structural acceleration is obtained by combining the information for the obtained structural features and the estimated nonstationary camera motion. The performance of the proposed approach is investigated using both a moving handheld camera and a camera mounted on the unmanned aerial vehicle in the laboratory. These results demonstrate that the proposed method can be effectively applied to measure structural vibration, without requiring stationary background features to be available in the video.
Deep learning-based classification of hepatocellular nodular lesions on whole-slide histopathologic images.

BACKGROUND & AIMS Hepatocellular nodular lesions (HNLs) constitute a heterogeneous group of disorders. Differential diagnosis among these lesions, especially high-grade dysplastic nodule (HGDN) and well differentiated hepatocellular carcinoma (WD-HCC), can be challenging, let alone biopsy specimens. We aimed to develop a deep learning system to solve these puzzles, improving the histopathologic diagnosis of HNLs (WD-HCC, HGDN, low-grade DN, focal nodular hyperplasia, hepatocellular adenoma) and background tissues (nodular cirrhosis, normal liver tissue). METHODS The samples consisting of surgical specimens and biopsies were collected from six hospitals. Each specimen was reviewed by 2-3 subspecialists. Four deep neural networks (ResNet50, InceptionV3, Xception and the Ensemble) were employed. The performances were evaluated by confusion matrix, ROC curve, classification map and heatmap. Furthermore, the predictive efficiency of the optimal model was verified by comparing with that of nine pathologists. RESULTS A total of 213,280 patches from 1115 WSIs of 738 cases were obtained. An optimal model was finally chosen based on F1 score and AUC value, named hepatocellular-nodular artificial intelligence model (HnAIM), with the overall seven-category AUC of 0.935 in the independent external validation cohort. For biopsy specimens, the agreement rate with subspecialists' majority opinion was higher for HnAIM than nine pathologists on both patch-level and WSI-level. CONCLUSIONS We first developed a deep learning diagnostic model for HNLs, which performed well and contributed to enhancing the diagnosis rate of early HCC and risk stratification of HNLs patients. Furthermore, HnAIM had significant advantages in patch-level recognition, with important diagnostic implications for fragmentary or scarce biopsy specimens.
Students' Mistakes and Misconceptions on the Subject of Conics

The purpose of this study is to determine the levels of geometric thinking, mistakes, and misconceptions of students on the concept of conics. This study was conducted on 91 students in the first semester in 2017 at one of the universities in Indonesia. Data were collected using written tests, interviews, and documentation. From the test results, the students' answers were divided into correct and incorrect solutions. Interviews and documentation were used to analyze level of geometric thinking nd student misconception. As a result, the misconceptions found were (1) the students could not determine the two possible simple equations, (2) the students could not determine the description of a simple parabola equation, (3) the students could not determine the conics equation, (4) the students could not prove the length of the latus rectum of an ellipse, (5) the students could not determine a simple equation of asymptote of hyperbola, while its vertices point were known, and (6) the students could not determine the equations of hyperbola focus and the difference between the length of the radius of the focus was known. Students who experienced mistakes and misconceptions were still at the first level of the van Hiele geometric thinking model.
An improved mineral nutrient solution for the in vitro propagation of Pinguicula species

Propagating plants in vitro (tissue culture) is widely used to rapidly generate large quantities of disease-free plants. It is applied to hundreds of carnivorous plant species including the genus Pinguicula whose species are very sensitive to pathogenic microorganisms and, in some cases, may develop poorly under current cultivation practices.
Unraveling the reaction mechanisms of electrode materials for sodium‐ion and potassium‐ion batteries by in situ transmission electron microscopy

Sodium ion batteries (SIBs) and potassium ion batteries (PIBs) have caught numerous attention due to the low cost and abundant availability of sodium and potassium. However, their power density, cycling stability and safety need further improvement for practical applications. Investigations on the reaction mechanisms and structural degradation when cycling are of great importance. In situ transmission electron microscopy (TEM) is one of the most significant techniques to understand and monitor electrochemical processes at an atomic scale with real‐time imaging. In this review, the current progress in unraveling reaction mechanisms of electrode materials for SIBs and PIBs via in situ TEM is summarized. First, the importance of in situ TEM is highlighted. Then, based on the three types of electrochemical reaction, i.e., intercalation reaction, conversion reaction and alloying reaction, the structural evolution and reaction kinetics at atomic resolution, and their relation to the electrochemical performance of electrode materials are reviewed and described in detail. Finally, future directions of in situ TEM for SIBs and PIBs are proposed. Therefore, the in‐depth understanding revealed by in situ TEM will give an instructive guide in rational design of electrode materials for high performance electrode materials of SIBs and PIBs.
Exploring pedagogical opportunities between architecture and planning: the case of University of Nevada, Las Vegas

Abstract This study critically explores collaboration opportunities between architects and planners. Architects typically emphasize site design, whereas planners stress prospects for community engagement. The collaboration opportunity prompts these professions to learn from each other synergistically. This case study outlines the efforts of two groups of architecture and planning students who, despite divergent pedagogical emphases, hone their integrative skills. Devising a set of evaluative criteria (permeability, stability and connectivity), enabled the planning students to rank and predict the university–community partnership impacts of eight projects proposed by the architecture students. The three expected partnership models (fortress, developer, and catalytic) enlightened the architecture students to also think about the social impact of their designs. There is a long history of debate about pedagogical and practice divides between planning and architecture. The paper contributes to those debates by examining how disciplinary divides might be overcome through collaborative teaching.
The Great Gatsby Curve

This paper provides a synthesis of theoretical and empirical work on the Great Gatsby Curve, the positive empirical relationship between cross-section income inequality and persistence of income across generations. We present statistical models of income dynamics that mechanically give rise to the relationship between inequality and mobility. Five distinct classes of theories, including models on family investments, skills, social influences, political economy, and aspirations are developed, each providing a behavioral mechanism to explain the relationship. Finally, we review empirical studies that provide evidence of the curve for a range of contexts and socioeconomic outcomes as well as explore evidence on mechanisms. (Stone Center on Socio-Economic Inequality Working Paper)
Increased Targeting Area in Tumors by Dual-Ligand Modification of Liposomes with RGD and TAT Peptides

Modification with polyethylene glycol (PEGylation) and the use of rigid phospholipids drastically improve the pharmacokinetics of chemotherapeutics and result in more manageable or reduced side-effects. A major drawback is retarded cellular delivery of content, which, along with tumor heterogeneity, are the two main obstacles against tumor targeting. To enhance cellular delivery and reach a bigger area of a tumor, we designed liposomes decorated with two ligands: one for targeting tumor vasculature via a cyclic-pentapeptide containing arginine-glycine-aspartic acid (RGD), which impacts tumor independent of passive accumulation inside tumors, and one for extravascular targeting of tumor cells via a cell-penetrating peptide derived from human immunodeficiency virus type 1 transactivator of transcription (TAT). Liposomes with different ligand combinations were prepared and compared with respect to performance in targeting. Intravital imaging illustrates the heterogeneous behavior of RGD-liposomes in both intravascular and extravascular distribution, whereas TAT-liposomes exhibit a predictable extravascular localization but no intravascular targeting. Dual-ligand modification results in enhanced vascular targeting and a predictable extravascular behavior that improves the therapeutic efficacy of doxorubicin-loaded liposomes but also an augmented clearance rate of liposomes. However, the dual-modified liposome could be a great candidate for targeted delivery of non-toxic payloads or contrast agents for therapeutic or diagnostic purposes. Here we show that the combination of vascular-specific and tumor cell-specific ligands in a liposomal system is beneficial in bypassing the heterogeneous expression of tumor-specific markers.
The Utilization of The Best First Search Algorithm in The Solution of The Traveling Salesman Problem Case In City X

The heuristic search is part of a method that is often used by people in solving the case of finding the shortest route, the search for the shortest path to solve the distance problem can be converted into a graph structure, where the point represents the city and the side represents the path that connects the two cities. The General and test process is one of the methods in which the case testing uses heuristic functions. The problem that often occurs in this case is to find the shortest path of a city and the various available paths. The process of this method is in the form of determining the distance between cities which can be seen from how far it is traveled so that it can take an alternative to find the shortest path. The main purpose of solving this case is to find alternative ways to find the shortest path and have benefits in saving time and costs so that optimal results are obtained. The use of algorithms in General and test can be used as an information system in making decisions on a travel route. The use of the best first search method in general and tests can be used to search for the shortest path to obtain maximum results
Dynamic Resistant Starch Accumulation in Contrasting Wheat Genotypes Highlights the Lipid Metabolic Pathway Related to Resistant Starch Synthesis

Resistant starch (RS) shows several health benefits. Enhancing the RS content of wheat is of major commercial importance. However, knowledge regarding the RS synthesis mechanism in wheat remains limited. In this study, the dynamic accumulation of RS during the filling process in two wheat (Triticum aestivum L.) genotypes with contrasting RS contents (H242, high RS content; H189, low RS content) were investigated. The results demonstrate that beyond 25 days after pollination (DAP), the RS content of H189 was relatively stable, but that of H242 continued to increase. Secondary accumulation was observed in the high-RS-content wheat genotype. A comparative transcriptome analysis between H242 and H189 at 20 DAP and 35 DAP showed that the differentially expressed genes were mainly involved in glycerolipid metabolism, glycerophospholipid metabolism and glucuronate interconversions. Furthermore, weighted gene coexpression network analysis suggested that lipid metabolic pathways such as the glycerophospholipid metabolism pathway might be involved in RS synthesis, and lipid-related genes upregulated beyond 25 DAP resulted in RS secondary accumulation. This work provides insight into the characteristics and mechanisms of RS synthesis.
The ice-nucleating activity of African mineral dust in the Caribbean boundary layer

Abstract. African mineral dust is transported many thousands of kilometres from its source regions and, because of its ability to nucleate ice, it plays a major role in cloud glaciation around the globe. The ice-nucleating activity of desert dust is influenced by its mineralogy, which varies substantially between source regions and across particle sizes. However, in models it is often assumed that the activity (expressed as active sites per unit surface area as a function of temperature) of atmospheric mineral dust is the same everywhere on the globe. Here, we find that the ice-nucleating activity of African desert dust sampled in the summertime marine boundary layer of Barbados (July and August, 2017) is substantially lower than parameterizations based on soil from specific locations in the Saharan desert or dust sedimented from dust storms. We conclude that the activity of dust in Barbados’ boundary layer is primarily defined by the low K-feldspar content of the dust, which is around 1 %. We propose that the dust we sampled in the Caribbean was from a region in West Africa (in and around the Sahel in Mauritania and Mali), which has a much lower feldspar content than other African sources across the Sahara and Sahel.
Application of sound intensity measurement in noise control for motorcycle

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A Numerical Investigation of the Mixing Performance in a Y-Junction Microchannel Induced by Acoustic Streaming

In this study, the mixing performance in a Y-junction microchannel with acoustic streaming was investigated through numerical simulation. The acoustic streaming is created by inducing triangular structures at the junction and sidewalls regions. The numerical model utilizes Navier–Stokes equations in conjunction with the convection–diffusion equations. The parameters investigated were inlet velocities ranging from 4.46 to 55.6 µm/s, triangular structure’s vertex angles ranging from 22° to 90° oscillation amplitude ranging from 3 to 6 µm, and an oscillation frequency set to 13 kHz. The results show that at the junction region, a pair of counter-rotating streaming vortices were formed, and unsymmetrical or one-sided vortices were formed when additional triangles were added along the sidewalls. These streaming flows significantly increase the vorticity compared with the case without the acoustic stream. Mixing performances were found to have improved with the generation of the acoustic stream. The mixing performance was evaluated at various inlet velocities, the vertex angles of the triangular structure, and oscillation amplitudes. The numerical results show that adding the triangular structure at the junction region considerably improved the mixing efficiency due to the generation of acoustic streaming, and further improvements can be achieved at lower inlet velocity, sharper vertex angle, and higher oscillation amplitude. Integrating with more triangular structures at the sidewall regions also improves the mixing performance within the laminar flow regime in the Y-microchannel. At Y = 2.30 mm, oscillation amplitude of 6 µm, and flow inlet velocity of 55.6 µm/s, with all three triangles integrated and the triangles’ vertex angles fixed to 30°, the mixing index can achieve the best results of 0.9981, which is better than 0.8355 in the case of using only the triangle at the junction, and 0.6642 in the case without acoustic streaming. This is equal to an improvement of 50.27% in the case of using both the junction and the two sidewall triangles, and 25.79% in the case of simply using a junction triangle.
Progression in Time of Dentate Gyrus Granule Cell Layer Widening due to Excitotoxicity Occurs along In Vivo LTP Reinstatement and Contextual Fear Memory Recovery

The dentate gyrus (DG) is the gateway of sensory information arriving from the perforant pathway (PP) to the hippocampus. The adequate integration of incoming information into the DG is paramount in the execution of hippocampal-dependent cognitive functions. An abnormal DG granule cell layer (GCL) widening due to granule cell dispersion has been reported under hyperexcitation conditions in animal models as well as in patients with mesial temporal lobe epilepsy, but also in patients with no apparent relation to epilepsy. Strikingly, it is unclear whether the presence and severity of GCL widening along time affect synaptic processing arising from the PP and alter the performance in hippocampal-mediated behaviors. To evaluate the above, we injected excitotoxic kainic acid (KA) unilaterally into the DG of mice and analyzed the evolution of GCL widening at 10 and 30 days post injection (dpi), while analyzing if KA-induced GCL widening affected in vivo long-term potentiation (LTP) in the PP-DG pathway, as well as the performance in learning and memory through contextual fear conditioning. Our results show that at 10 dpi, when a subtle GCL widening was observed, LTP induction, as well as contextual fear memory, were impaired. However, at 30 dpi when a pronounced increase in GCL widening was found, LTP induction and contextual fear memory were already reestablished. These results highlight the plastic potential of the DG to recover some of its functions despite a major structural alteration such as abnormal GCL widening.
The prognostic significance of a novel ferroptosis-related gene model in breast cancer

Background Breast cancer (BRCA) is the most common malignancy with high heterogeneity in women, and the prognostic prediction for BRCA has remained poor. Ferroptosis, a recently identified iron-dependent form of programmed cell death, plays a significant role in BRCA treatment. Some BRCA cell lines are proven to be sensitive to ferroptosis, and some ferroptosis-related genes have been identified as divers or suppressors in the progress of BRCA. This study aimed to explore the prognostic value of ferroptosis-related genes in BRCA. Methods A ferroptosis-related gene list, messenger RNA (mRNA) gene expression of BRCA patients, and corresponding clinicopathological data were collected from public databases. The patients of the Cancer Genome Atlas (TCGA) were identified as the training cohort, and the ones of the Gene Expression Omnibus (GEO) were looked as the validation cohort. Univariate Cox regression analysis was utilized to identify prognostic ferroptosis-related genes, and subsequent multivariate analysis further screened out important genes to establish a prognostic model. Receiver operating characteristic (ROC) curves were used to validate the model in both internal and external cohorts. Functional analysis was generated to evaluate the potential correlation between tumor immunity and ferroptosis-related genes in BRCA. Results A ferroptosis-related gene signature stratifying patients into 2 risk score groups was established based on the TCGA cohort, and validated in the GEO cohort. Patients with lower risk scores had better overall survival (OS) compared to those with higher risk scores (P<0.001, TCGA cohort; P<0.05, GEO cohort). The risk score was independently associated with the OS of BRCA patients (P<0.001, TCGA cohort; P<0.05, GEO cohort). The area under the curves (AUCs) of the model in the training and validation cohorts were all around 0.7. Immune-related biological pathways and immune status were significantly different between the 2 divided risk groups. Conclusions The novel prognostic model composed of 9 ferroptosis-related genes accurately predicts the survival of BRCA patients. It might provide a new sight for ferroptosis-related BRCA therapy.