Miracle-dz/UniFAR-FTUs huggingface dataset:
Polyploidy promotes divergent evolution across the leaf economics spectrum and plant edaphic niche in the Dianthus broteri complex

The evolution of the leaf economics spectrum (LES) is known to be constrained by genetic relatedness but also promoted at small geographical and phylogenetic scales. In those cases, we hypothesized that polyploidy would play a prominent role as an outstanding source of functional divergence and adaptive potential. We registered leaf‐level nutrient, water‐ and light‐economy‐related traits from the LES as well as edaphic properties in the four cytotypes of the autopolyploid Dianthus broteri complex (2×, 4×, 6× and 12×). We analysed the effect of ploidy level on the integration of the LES network, checked if concerted evolution occurred between LES and soil niche and tested the influence of phylogeny on the variables. Alternative evolutionary models for both sets of traits were compared. We found higher divergence of polyploids (especially 6× and 12×) compared to diploids in the LES and soil niche, but these traits are not coevolving. 6× and 12× showed opposite ecological strategies regarding resource use and higher uncoupling of the LES network. Early divergence of traits prevailed in both LES and edaphic niche (supported by better fitted evolutionary models with one optimum per cytotype), but post‐polyploidization processes played an important role for the photochemical behaviour. Synthesis. Our results indicated shifts in ecological strategies across Dianthus broteri cytotypes and suggested a powerful role of polyploidy in overcoming constraints for the evolution of plant functional traits.
No evidence that LSD microdosing affects recall or the balance between distracter resistance and updating

The effect of low doses (<=20 μg) of LSD on working memory, in the absence of altered states of consciousness, remain largely unexplored. Given its possible effects on serotonin 5-HT2A receptors and dopaminergic signalling, it could be hypothesised that LSD microdoses modulate working memory recall. Moreover, in line with computational models, LSD microdoses could exert antagonistic effects on distracter resistance and updating. Here, we tested this hypothesis in a randomised double-blind, placebo-controlled study comparing three different LSD microdoses (5 μg, 10μg and 20μg) with placebo. After capsule administration, participants performed a modified delay-match-to-sample (DMTS) dopamine-sensitive task. The standard DMTS task was modified to include novel items in the delay period between encoding and probe. These novel items either had to be ignored or updated into working memory. There was no evidence that LSD microdoses affected the accuracy or efficiency of working memory recall and there was no evidence for differential effects on ignoring or updating. Due to the small sample of participants, these results are preliminary and larger studies are required to establish whether LSD microdoses affect short-term recall.
An Inquiry into the Relationship between Drug Users’ Psychological Situations and Their Drug-Taking Behaviour

In view of the research gap whereby few studies have investigated the inner psychological situations underlying continuous drug use, this study used the Soulmate Scale to investigate the relationship between soulmate experience and drug-taking behaviour. Overall, 276 participants took part in this study. Results showed that soulmate experience was negatively related to drug-taking behaviour, which means that being psychologically attached to drugs and receiving comfort from them encourages dependency and a higher level of difficulty in quitting drugs. In addition, soulmate experience significantly mediated the effect of meaning of life and social isolation on drugs, suggesting that when such psychological bonding and sustenance can be developed in interpersonal relationships instead of drugs, drug users are likely to develop the meaning of life and a lower sense of social isolation, and are more likely to quit drugs. The corresponding implications were discussed.
Predicting Bursting Strength of Cotton Plain Knitted Fabrics Using Intelligent Techniques

The bursting strength of cotton plain knitted fabrics is predicted before manufacturing using intelligent techniques of neural network and neuro-fuzzy approaches in this re search. Among many parameters that affect fabric bursting strength, fabric weight, yarn breaking strength, and yarn breaking elongation are input elements for the predictions. In this research, both the multi-layer feed-forward neural network and adaptive network- based fuzzy inference system, a combination of a radial basis neural network and the Sugeno-Takagi fuzzy system, are studied. Both systems have the ability to learn training data successfully, and testing errors are small enough to give an approximate knowledge of the bursting strength of the fabric to be knitted.
Effects of Human Capital Expenditures on Non-Oil Sector Growth in the Republic of Congo

This paper explores the relationship between human capital spending and non-oil sector growth in one direction only: from spending to non-oil sector growth. Using the theoretical framework developed by Knowles and Owen (1995), this study shows that spending does not influence non-oil sector growth. This result was obtained by estimating an Autoregressive Distributed Lag (ARDL) process. The data used were extracted from the World Bank’s databases and are annual (1996 to 2018). We used several indicators of development in the world and a governance indicator among those designed by Kaufmann et al. (2005). From a theoretical point of view, this result does not support the theory of endogenous growth. On the other hand, it is an empirical contribution to the literature that exists to date on the causes of non-oil sector growth in Congo. Moreover, an economic policy implication has been formulated on the basis of this result.
Adjuvant Scrotal Radiation Therapy As Bridging Therapy to Chimeric Antigen Receptor T-Cell Following Extramedullary Relapse in B-Cell Acute Lymphoblastic Leukemia

Chimeric antigen T-cell (CAR T) therapy is a promising emerging treatment option for patients with relapsed/refractory acute lymphoma. The role of bridging radiotherapy prior to CAR T infusion is an area of increasing interest with a sizable body of literature regarding its use in non-Hodgkin lymphoma, but reports of its use in leukemia are limited. Furthermore, available literature on bridging radiotherapy is limited to the treatment of bulky, often symptomatic disease, as opposed to its role in treating high-risk regions and sanctuary sites. Here, we present an adult male with multiply relapsed B-cell acute lymphoblastic leukemia (B-ALL) who presented with bone marrow relapse and extramedullary relapse in the right testicle. He was successfully treated with right orchiectomy followed by adjuvant bridging radiotherapy to the left testicle and scrotum, followed by CAR T infusion. Under this treatment paradigm, he tolerated the CAR T infusion with minimal toxicity and was without evidence of disease 100 days post-infusion, with normal testosterone levels. This is the first reported case of bridging radiation being used in the adjuvant setting in a patient with hematologic malignancy. This case adds to the growing body of literature that bridging radiation is well-tolerated and can potentially decrease the risk of relapse in high-risk areas following CAR T infusion.
Evaluation of the Inhibitory Effects of Coumermycin A1 on the Growth of Theileria and Babesia Parasites in vitro and in vivo

Coumermycin A1, a coumarin antibiotic, has anticancer, antibacterial, antiviral, and antimalarial activities. We aimed to evaluate the anti-thielerial and anti-babesial activity of coumermycin A1 in mice in vivo. Coumermycin A1 efficacy was determined by the transcription of DNA gyrase, a type II DNA topoisomerase using reverse transcriptase-polymerase chain reaction (RT-PCR) transcription. Coumermycin A1 significantly inhibited the development of preliminary parasitemia (1%). Theileria equi and the Babesia species B. bigemina, B. bovis, and B. caballi were observed with IC50 values of 80, 70, 57, and 65 nM, respectively. Their development was remarkably inhibited at observed concentrations of 10, 25, 50, and 100µM for the studied organisms T. equi, and the Babesia species B. caballi, B. bovis and B. bigemina, respectively. In the subsequent viability test, parasite re-growth was suppressed at 100µM for B. bigemina and B. bovis and at 50 µM for B. caballi and T. equi. Coumermycin A1 Treatment of B. bovis cultures with Coumermycin A1 completely suppressed the transcription of the DNA gyrase subunits B and A genes. In BALB/c mice, the development of Babesia microti was inhibited by 70.73% using 5 mg/kg of Coumermycin A1.
The relationship between team identification and service quality perceptions in professional football

In this study the relationship between team identification and service quality perceptions of football spectators is examined. 608 football spectators from 3 different teams who played their games at the same stadium participated in the study. Spectators completed a questionnaire packet containing a demographic form, the Sport Spectator Identification Scale (SSIS) and Scale of Perceived Service Quality in Professional Sport (S_PSQPS). Examining correlation between service quality perceptions and team identification it was interesting to see that there was negatively inclined low degree of correlation between team identification and quality perceptions on physical environment. The difference determined in physical environment quality between the spectators of the 3 different teams playing their games at the same stadium is extremely striking. Core service quality perceptions presented a downward trend amongst spectators attending games for long periods of time and this stands out as a significant finding demanding the attention of professional football managers. Key words: Service, quality, identification, sport, football, spectators.
Effect of uncertainty on water distribution system model design decisions

The goal of calibrating a water distribution model is to establish a numerical model that represents the real system. Given the uncertainty in field data, recent studies have examined model parameter and predictive uncertainties and how those uncertainties can guide future data collection experiments. However, a model is to be used in some decision making process and those decisions can be influenced by the model uncertainty. Therefore, a methodology is presented here to evaluate the impact of uncertainty in pipe roughness values on decisions that are made using the model for a system expansion design using a steady state hydraulic model. To complete the analysis, model parameter uncertainty is evaluated using a first order second moment (FOSM) analysis of uncertainty. Parameter uncertainties are then propagated to model prediction uncertainties through a second FOSM for a defined set of demand conditions. Finally, model prediction uncertainties are embedded in an optimal design model to assess the effect.
Forest harvest residue recovery in semi-mechanized hardwood selection operations

Semi-mechanized single-tree selection operations make important contributions to wood supply in parts of the northern hardwood forest region of northeastern North America. However, harvest residue recovery has not yet been integrated within this silvicultural system, due to low recovery rates, low mechanization, and small harvest blocks. As bioenergy policy incentives and markets continue to strengthen, there is a need to determine whether these partial harvest systems can contribute to local and regional energy wood supply. We assessed residue recovery and procurement costs during semi-mechanized single-tree selection operations in central Ontario, Canada. Logging contractors recovered 1.7–3.5 oven dry tonnes (ODt) of harvest residue per hectare by reducing the diameter at which trees were delimbed and topped. The time spent delimbing and topping increased by 10.8% but no extra time or machinery was required to recover the residue to roadside landings. Supply chain scenarios that included terminal chipping indicate that the harvest residue could be brought to market at a delivered cost
Finger Vein Recognition Algorithm Based on Lightweight Deep Convolutional Neural Network

Even though the deep neural networks have strong feature representation capability and high recognition accuracy in finger vein recognition, the deep models are computationally intensive and poor in timeliness. To address these issues, this article proposes a lightweight algorithm for finger vein image recognition and matching. The proposed algorithm uses a lightweight convolutional model in the backbone network and employs a triplet loss function to train the model, which not only improves the matching accuracy, but also satisfies the real-time matching requirements. In addition, the Mini-region of interest (RoI) and finger vein pattern feature extraction also effectively solve the problems of large amounts of calculation and background noise. Moreover, the present model recognizes new categories based on the feature vector space constructed by the finger vein recognition system, so that new categories can be recognized without retraining the model. The results show that the finger vein recognition and matching algorithm proposed in this article achieves 99.3% and 99.6% in recognition accuracy and 14.2 and 16.5 ms in matching time for the dataset Shandong University Machine Learning and Applications Laboratory-Homologous Multimodal Biometric Traits (SDUMLA-HMT) and Peking University Finger Vein Dataset (PKU-FVD), respectively. These metrics show that our approach is time-saving and more effective than previous algorithms. Compared with the state-of-the-art finger vein recognition algorithm, the proposed algorithm improves 1.45% in recognition accuracy while saving 45.7% in recognition time.
The Relationship of Knowledge of Pregnant Women to Compliance with Health Protocols During the Covid-19 Pandemic at the Kassi-Kassi Health Center Makassar in 2021

Relationship of Knowledge of Pregnant Women to Compliance with Health Protocols during the COVID-19 Pandemic at Kassi-Kassi Health Center Makassar in 2021. The purpose of this study was to determine the relationship between knowledge of pregnant women and adherence to health protocols during the COVID-19 pandemic at the Kassi-Kassi Health Center Makassar. This study uses analytical research methods by carrying out a Cross Sectional Study approach to determine the relationship between knowledge of pregnant women and adherence to health protocols during the COVID-19 Pandemic at the Kassi-Kassi Health Center Makassar. With a population of pregnant women who perform ANC examinations at the Kassi-Kassi Health Center Makassar and the number of samples is 30 respondents using the Accidental Sampling technique. From the results of statistical tests using the Chi-Square (Continuity Correction) test, the value of (0.039) < (0.050) is obtained, so Ha is accepted and H0 is rejected, this study shows that there is a relationship between knowledge of pregnant women and adherence to health protocols.
Distance with Customers Effects on Green Product Innovation in SMEs: A Way Through Green Value Co-creation

Based on the perspective of multidimensional proximity, this paper examined the relationships between cognitive and social proximities with key customers and green product innovation performance via the mediation of green value co-creation by using data from 211 fine chemical small and medium-sized enterprises in clusters in China. Moderating effects of geographical distance and green project duration were assessed to further explore the relationship. The results revealed that social and cognitive proximities can promote green co-production and enhance green product innovation performance. Moreover, the relationship between social proximity and green co-production is hindered when customers are geographically distant or short duration partners of green projects. Eventually, this study was quite different from previous research by relating proximities to green value co-creation and green innovation performance in the context of small and medium-sized enterprises in emerging markets. The study provides a research framework for related research on green innovation.
THE INFLUENCE OF THE GEOMETER'S SKETCHPAD ON THE GEOMETRY ACHIEVEMENT OF GREEK SCHOOL STUDENTS

The aim of this study is to investigate the question: "Does the use of a Geometer's Sketchpad help secondary students to improve their geometry per- formance? " The respondents were students enrolled in a high school (grade 7) in a northern suburb of Athens. The experimental group consisted of approximately 40 students, who spent at least one hour per week doing computer explorations for the first six weeks of the last semester. There were 39 students in the control group, which was not exposed to the computer explorations. Students in both groups were pre-tested and post-tested for their geometry performance. The results of the study indicated that the use of technology is needed for students to make significant progress in geometry.
Identifying injury characteristics for three player positions in American football using physical and finite element modeling reconstructions

Sport-related concussion has been implicated in long-term neural degeneration and cognitive impairment. Thus, research efforts directed at elucidating as many risk factors as possible is valuable. Epidemiological studies have identified particular playing positions in American football that are at a heightened risk of sustaining concussions. The purpose of this study was to examine dy namic response and brain tissue deformation metrics from head injury reconstructions representing head impacts for football players in the linebacker, wide receiver and lineman positions. These events were reconstructed using pendulum and linear impactor apparatus and a Hybrid III headform. The University College Dublin Brain Tra uma Model was used to measure the resulting brain tissue deformations as maximum principal strain (MPS). Peak linear acceleration, peak rotational acceleration and MPS all varied according to playing position. The injury reconstruction for the linebacker position reported the highest values for all measures, followed by head impacts for the wi de receiver and the lineman. A relatively high probability of concussion for the linebacker head impact event was observed. In contrast, the associated concussion risk for the impact to the lineman was low, despite a high impact mass. These results show an important distinction in mechanisms and nature of trauma sustained as a result of American football head injuries base d on the injury reconstructions for each player position.
Fatigue Performance of Cracked Tubular T Joints under Combined Loads. II: Numerical

In practice, tubular joints are always subjected to a combination of axial loading (AX), in-plane bending (IPB), and out-of-plane bending (OPB), and the initiation of surface cracks does not always start at the saddle or the crown position on the joints. A systematic finite element modeling of tubular Y joints with any surface crack and located at any position along the brace–chord intersection is developed and proposed in this paper. The weld details in the model conform to the American Welding Society codes. The contact surfaces have been defined carefully between the two crack surfaces that may arise due to some loading cases. Along the crack tip, a well-graded finite element mesh is generated to get the stress intensity factors. This modeling method is then used to analyze three tubular T joint specimens which were tested to failure earlier, and they were subjected to IPB only, combination of IPB and OPB, and a combination of AX, IPB, and OPB, respectively. The numerical results compared favorably with the experimental results based on the Paris’ law, and all of these results demonstrate that the proposed model is consistent and reliable.
A Cysteine-Rich Protein, SpDIR1L, Implicated in S-RNase-Independent Pollen Rejection in the Tomato (Solanum Section Lycopersicon) Clade

Tomato clade species (Solanum sect. Lycopersicon) display multiple interspecific reproductive barriers (IRBs). Some IRBs conform to the SI x SC rule, which describes unilateral incompatibility (UI) where pollen from SC species is rejected on SI species’ pistils, but reciprocal pollinations are successful. However, SC x SC UI also exists, offering opportunities to identify factors that contribute to S-RNase-independent IRBs. For instance, SC Solanum pennellii LA0716 pistils only permit SC Solanum lycopersicum pollen tubes to penetrate to the top third of the pistil, while S. pennellii pollen penetrates to S. lycopersicum ovaries. We identified candidate S. pennellii LA0716 pistil barrier genes based on expression profiles and published results. CRISPR/Cas9 mutants were created in eight candidate genes, and mutants were assessed for changes in S. lycopersicum pollen tube growth. Mutants in a gene designated Defective in Induced Resistance 1-like (SpDIR1L), which encodes a small cysteine-rich protein, permitted S. lycopersicum pollen tubes to grow to the bottom third of the style. We show that SpDIR1L protein accumulation correlates with IRB strength and that species with weak or no IRBs toward S. lycopersicum pollen share a 150 bp deletion in the upstream region of SpDIR1L. These results suggest that SpDIR1L contributes to an S-RNase-independent IRB.
Building Capacity at Asian American and Native American Pacific Islander-Serving Institutions (AANAPISI): Transforming the Educational Experiences of Asian American and Pacific Islander (AAPI) Students

ABSTRACT This study examines how Asian American and Native American Pacific Islander-Serving Institutions (AANAPISI) build capacity for student success. By contrasting a community college on the West Coast and a regional comprehensive university on the East Coast, new pathways are forged to recognize the critical role that federally-funded AANAPISIs play in supporting Asian American and Pacific Islander students. Implications for policy, practice, and research are also offered to advance the operations and understanding of AANAPISIs.
Numerical Simulation of Rotor-Fuselage Aerodynamic Interaction Using an Unstructured Overset Mesh Technique

Numerical simulation of unsteady flows around helicopters was conducted to investigate the aerodynamic interaction of main rotor and other components such as fuselage and tail rotor. For this purpose, a three-dimensional inviscid flow solver has been developed based on unstructured meshes. An overset mesh technique was used to describe the relative motion between the main rotor, and other components. As the application of the present method, calculations were made for the rotorfuselage aerodynamic interaction of the ROBIN (ROtor Body INteraction) configuration and for a complete UH-60 helicopter configuration consisted of main rotor, fuselage, and tail rotor. Comparison of the computational results was made with measured time-averaged and instantaneous fuselage surface pressure distributions for the ROBIN configuration and thrust distribution and available experimental data for the UH-60 configuration. It is demonstrated that the present method is efficient and robust for the simulation of complete rotorcraft configurations. Key Word : Rotor fuselage interaction, Unstructured mesh, Overset mesh technique, ROBIN, UH-60