Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of nitrogen isotope fractionation during nitrification based on a coastal time series

Isotopic enrichment factors are key to using stable isotope signatures in biogeochemical studies. However, these are typically determined in laboratory experiments and their applicability to environmental conditions is difficult to test. Here, we analyzed nitrogen stable isotope changes associated with nitrification in a coastal basin using weekly time‐series measurements of δ15N in particulate nitrogen, ammonium, nitrite, and nitrate. Two year‐long time series were selected as contrasting natural experiments in the ammonium‐rich, aphotic bottom water of Bedford Basin, Nova Scotia, Canada. In 2014, ammonia oxidation (AO) was associated with Thaumarchaeota and nitrite concentrations remained low (< 0.5 μmol kg−1). In contrast, transient nitrite accumulation (~ 8 μmol kg−1) and a more rapid δ15NNH4 increase in the fall of 2017 were likely caused by ammonia‐oxidizing bacteria, associated with higher AO rates and, possibly, stronger nitrogen‐isotope enrichment (15εAO). Estimates of 15εAO (21.8 ± 2.2‰, 24.1 ± 1.1‰) were derived empirically using Rayleigh models applied to field data from restricted periods during which the bottom waters approximated a closed system and influence on 15εAO from other processes was demonstrably insignificant. Using a numerical reactive‐transport model, we found that the best fit for the δ15N data was obtained with 15εAO values (18.9‰, 25.1‰) close to those determined by the Rayleigh models. The time series also revealed substantial (~ 7‰) 15N‐enrichment of the particulate nitrogen due to light‐independent assimilation of partially nitrified ammonium. Consistent with previous studies, these field‐based nitrogen isotope fractionation experiments suggest that the range of 15εAO values relevant for marine systems may be narrower than determined in laboratory studies.
Oxide-based thin film transistors for flexible electronics

The continuous progress in thin film materials and devices has greatly promoted the development in the field of flexible electronics. As one of the most common thin film devices, thin film transistors (TFTs) are significant building blocks for flexible platforms. Flexible oxide-based TFTs are well compatible with flexible electronic systems due to low process temperature, high carrier mobility, and good uniformity. The present article is a review of the recent progress and major trends in the field of flexible oxide-based thin film transistors. First, an introduction of flexible electronics and flexible oxide-based thin film transistors is given. Next, we introduce oxide semiconductor materials and various flexible oxide-based TFTs classified by substrate materials including polymer plastics, paper sheets, metal foils, and flexible thin glass. Afterwards, applications of flexible oxide-based TFTs including bendable sensors, memories, circuits, and displays are presented. Finally, we give conclusions and a prospect for possible development trends.
Optimal drain management following complicated laparoscopic cholecystectomy for acute cholecystitis: a propensity-matched comparative study

Purpose This study was performed to investigate the effect of drain placement on complicated laparoscopic cholecystectomy (cLC) for acute cholecystitis (AC). Methods This single-center retrospective study reviewed patients with AC who underwent cLC between January 2010 and December 2020. cLC was defined as open conversion, subtotal cholecystectomy, adjacent organ injury during surgery, operation time of ≥90 minutes, or estimated blood loss of ≥100 mL. One-to-one propensity score matching was performed to compare the surgical outcomes between patients with and without drain on cLC. Results A total of 216 patients (mean age, 65.8 years; 75 female patients [34.7%]) underwent cLC, and 126 (58.3%) underwent intraoperative abdominal drainage. In the propensity score-matched cohort (61 patients in each group), early drain removal (≤postoperative day 3) was performed in 42 patients (68.9%). The overall rate of surgical site infection (SSI) was 10.7%. Late drain removal demonstrated significantly worse surgical outcomes than no drain placement and early drain removal for overall complications (13.1% vs. 21.4% vs. 47.4%, p = 0.006), postoperative hospital stay (3.8 days vs. 4.4 days vs. 12.7 days, p < 0.001), and SSI (4.9% vs. 11.9% vs. 31.6%, p = 0.006). In the multivariate analysis, late drain removal was the most significant risk factor for organ space SSI. Conclusion This study demonstrated that drain placement is not routinely recommended, even after cLC for AC. When placing a drain, early drain removal is recommended because late drain removal is associated with a higher risk of organ space SSI.
Nonlinear Quantum Optics With Structured Light: Tightly Trapped Atoms in the 3D Focus of Vectorial Waves

Atomic gases tightly trapped near the focus of an electromagnetic wave interact with photons that exhibit a complex structure, displaying strong gradients of field amplitude and local polarization that can lead to topological phase singularities. We illustrate the consequences of this structure on a paradigmatic nonlinear optical process: three-wave mixing. The process begins by proper selection of the pump field, whose spatial structure is tailored to present huge gradients of the EM field that enhance atomic excitations through forbidden transitions. Atoms can then be depopulated via two electric dipole decays in a cascade configuration, thus providing the three necessary waves. The properties of the down-converted photons are conditioned to those of the pump field through phase matching conditions. It is emphasized that the expression of the photons must incorporate both the structure of the vectorial EM modes and the spatial configuration of the atomic trap. Due to the three-dimensional focusing, the slowly varying envelope approximation becomes inadequate when describing the scattered EM field. We discuss an alternative using a Green function formalism valid for any configuration of the field that also allows to identify the phase matching conditions. Spherical vectorial waves exemplify most concepts here discussed, including the possibility of observing nonlinear quantum phenomena at the single photon level.
An analysis of SPARQL usage for information retrieval in heterogeneous domains through various tools

Abstract SPARQL is a Query Language and a protocol popularly used in web semantics for the information retrieval. It is standard language declared by World Wide Web Consortium for resource description framework. Due to the exponential popularity of semantic web, bigdata, cloud computing, graph databases and linked open data, SPARQL Queries are playing a vital role in the stated domain for managing data with different aspects. This paper summarizes SPARQL usage in various domains touching the latest emerging technologies in computer science and various other fields. A brief analysis has been done of various tools on which SPARQL protocol can be executed for different purposes and it has been analyzed that using such protocols will generate tremendous results in different application areas towards integration of semantic web with different technologies like cloud computing, Linked Open Data (LOD) , Graph Databases and others.
Cognitive Behavioral Therapy Program for Cannabis Use Cessation in First-Episode Psychosis Patients: A 1-Year Randomized Controlled Trial

Despite the negative influence of cannabis use on the development and prognosis of first-episode psychosis (FEP), there is little evidence on effective specific interventions for cannabis use cessation in FEP. The aim of this study was to compare the efficacy of a specific cognitive behavioral therapy (CBT) for cannabis cessation (CBT-CC) with treatment as usual (TAU) in FEP cannabis users. In this single-blind, 1-year randomized controlled trial, 65 participants were randomly assigned to CBT-CC or TAU. The primary outcome was the reduction in cannabis use severity. The CBT-CC group had a greater decrease in cannabis use severity and positive psychotic symptoms over time, and a greater improvement in functioning at post-treatment than TAU. The treatment response was also faster in the CBT-CC group, reducing cannabis use, anxiety, positive and general psychotic symptoms, and improving functioning earlier than TAU in the follow-up. Moreover, patients who stopped and/or reduced cannabis use during the follow-up, decreased psychotic symptoms and increased awareness of disease compared to those who continued using cannabis. Early intervention based on a specific CBT for cannabis cessation, may be effective in reducing cannabis use severity, in addition to improving clinical and functional outcomes of FEP cannabis users.
Physiological and Perceptual Responses to Single-player vs. Multiplayer Exergaming

Rationale Since many modern exergames include a multiplayer component, this study aimed to compare the physiological and perceptual responses between playing a cycling exergame alone or with others. Methods In this randomized crossover study, 15 healthy individuals aged between 10 and 30 years completed a single-player and a multiplayer exergaming session. The main outcomes were exercise intensity, measured as oxygen uptake (V°O2) and heart rate (HR), and perceived enjoyment, pleasure, and exertion. Results Peak HR was significantly higher during multiplayer (172 ± 23 beats per minute [bpm]) vs. single-player exergaming (159 ± 27 bpm) with a mean difference of 13 bpm (95% CI: 2 to 24, p = 0.02). Peak V°O2 was 33.6 ± 9.5 mL·kg−1·min−1 and 30.4 ± 9.1 mL·kg−1·min−1 during multiplayer and single-player exergaming, respectively with no statistically significant difference between conditions (3.2, 95% CI: −0.2–6.6 mL·kg−1·min−1, p = 0.06). Average HR, average V°O2 and perceptual responses did not differ between single- and multiplayer exergaming. Conclusion Other than inducing a higher HR, multiplayer exergaming showed no significant benefits on exercise intensity or perceptual responses over single-player exergaming. However, the higher peak HR and a tendency of higher peak V°O2 intensity during multiplayer exergaming imply that multiplayer exergaming may offer some advantages over single-player exergaming that could impact the potential health benefits of exergaming.
G-group legitimacy in global governance: rightful membership of rising powers?

Abstract The shift in global policymaking from the Group of Seven (G7) to the Group of Twenty (G20) is widely seen to reflect the rise to power of emerging markets in the South. It begs the question, though, whether the G20 has the right membership to legitimately govern the global economy. This paper applies a novel framework linking rightful membership to global governance institutions’ roles to address this question. A longitudinal analysis of (1) financial and economic indicators of G-group members; (2) their global ranking on these indicators; and (3) the position of G-group members in technical forums of financial governance demonstrates that the shift to the G20 was necessary to maintain rightful membership given the declining share of G7 members in the global economy. However, rightful membership as a source of legitimacy varies across G-group roles and diffuses across roles and across global governance institutions. These new insights demonstrate the added value of conceptualising rightful membership in relation to different roles of global governance institutions. The analytical framework proposed in this paper allows for better insights into the legitimation strategies and public legitimacy perceptions of global governance institutions, and points to interesting new hypotheses with respect to the legitimacy of global governance institutions.
Review of the Characteristics Preferred by Clients in Agritourism Scenarios

Agrotourism is a practice that allows the generation of livelihood alternatives in rural areas, reducing hunger and allowing sustainable economic development. In this review, a classification of the characteristics preferred by clients in agrotourism settings has been generated, based on previous research that weighted these characteristics. Clients have been found to value the following in agrotourism settings: a green and clean landscape, the forests, the possibility of buying agricultural products, trying traditional foods, and participating in agricultural activities. These findings offer guidance to those interested in implementing or improving agritourism services.
Exogenous Melatonin Enhances Photosynthetic Capacity and Related Gene Expression in A Dose-Dependent Manner in the Tea Plant (Camellia sinensis (L.) Kuntze)

The enhancement of photosynthesis of tea leaves can increase tea yield. In order to explore the regulation mechanism of exogenous melatonin (MT) on the photosynthetic characteristics of tea plants, tea variety ‘Zhongcha 108’ was used as the experimental material in this study. The effects of different concentrations (0, 0.2, 0.3, 0.4 mM) of melatonin on the chlorophyll (Chl) content, stomatal opening, photosynthetic and fluorescence parameters, antioxidant enzyme activity, and related gene expression of tea plants were detected and analyzed. The results showed that under 0.2-mM MT treatment, chlorophyll (Chl) content, photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO2 concentration (Ci), and transpiration rate (Tr) improved, accompanied by a decrease in stomata density and increase in stomata area. Zero point two millimolar MT increased Chl fluorescence level and superoxide dismutase (SOD) activity, and reduced hydrogen peroxide (H2O2) and malondialdehyde (MDA) contents, indicating that MT alleviated PSII inhibition and improved photochemical efficiency. At the same time, 0.2 mM MT induced the expression of genes involved in photosynthesis and chlorophyll metabolism to varying degrees. The study demonstrated that MT can effectively enhance the photosynthetic capacity of tea plants in a dose-dependent manner. These results may promote a comprehensive understanding of the potential regulatory mechanism of exogenous MT on photosynthesis in tea plants.
Improving Educational Outcomes for Pasifka Learners Through Culturally-Responsive Pedagogy

Culturally-responsive teaching, culturally-responsive practice, culturally-responsive pedagogy and/or culturally-relevant pedagogy are all terms for pedagogical practices which emphasise using the cultural background, knowledge, language and identity, characteristics, lived experiences, or cultural capital of ethnically diverse students to improve their educational outcomes. This paper reports on a professional inquiry which sought to identify how culturally-responsive practices are embedded in teachers’ pedagogy and how I can, in my professional role as a Resource Teacher: Learning and Behaviour (RTLB), support teachers’ cultural responsiveness to be confident and competent to improve educational outcomes for Pasifika learners in particular. Through the process of thematic analysis, three key themes emerged: cultural competence, cultural responsiveness, and beliefs and attitudes. The need for specific Pasifika professional development with an emphasis on culture, language and identity with Pasifika core values underpinning Pasifika pedagogy is considered as a future action.
Structural and Biophysical Characterization of Purified Recombinant Arabidopsis thaliana's Alternative Oxidase 1A (rAtAOX1A): Interaction With Inhibitor(s) and Activator

In higher plants, alternative oxidase (AOX) participates in a cyanide resistant and non-proton motive electron transport pathway of mitochondria, diverging from the ubiquinone pool. The physiological significance of AOX in biotic/abiotic stress tolerance is well-documented. However, its structural and biophysical properties are poorly understood as its crystal structure is not yet revealed in plants. Also, most of the AOX purification processes resulted in a low yield/inactive/unstable form of native AOX protein. The present study aims to characterize the purified rAtAOX1A protein and its interaction with inhibitors, such as salicylhydroxamic acid (SHAM) and n-propyl gallate (n-PG), as well as pyruvate (activator), using biophysical/in silico studies. The rAtAOX1A expressed in E. coli BL21(DE3) cells was functionally characterized by monitoring the respiratory and growth sensitivity of E. coli/pAtAOX1A and E. coli/pET28a to classical mitochondrial electron transport chain (mETC) inhibitors. The rAtAOX1A, which is purified through affinity chromatography and confirmed by western blotting and MALDI-TOF-TOF studies, showed an oxygen uptake activity of 3.86 μmol min−1 mg−1 protein, which is acceptable in non-thermogenic plants. Circular dichroism (CD) studies of purified rAtAOX1A revealed that >50% of the protein content was α-helical and retained its helical absorbance signal (ellipticity) at a wide range of temperature and pH conditions. Further, interaction with SHAM, n-PG, or pyruvate caused significant changes in its secondary structural elements while retaining its ellipticity. Surface plasmon resonance (SPR) studies revealed that both SHAM and n-PG bind reversibly to rAtAOX1A, while docking studies revealed that they bind to the same hydrophobic groove (Met191, Val192, Met195, Leu196, Phe251, and Phe255), to which Duroquinone (DQ) bind in the AtAOX1A. In contrast, pyruvate binds to a pocket consisting of Cys II (Arg174, Tyr175, Gly176, Cys177, Val232, Ala233, Asn294, and Leu313). Further, the mutational docking studies suggest that (i) the Met195 and Phe255 of AtAOX1A are the potential candidates to bind the inhibitor. Hence, this binding pocket could be a ‘potential gateway' for the oxidation-reduction process in AtAOX1A, and (ii) Arg174, Gly176, and Cys177 play an important role in binding to the organic acids like pyruvate.
Driver Fatigue Prediction with Real Time Driver Alert System Using Deep Learning

Deep learning is a type of machine learning which imitates instruction given by human. The main theme of our project is to detect whether the person was normal or abnormal while driving the vehicle, many of the accidents are caused due to the driver may be drunken or tired or feel sleepy while driving the vehicle. The proposed model will only consider the facial features like eye, nose, and lips of the intended person and detect the drowsiness by taking the eye blink duration and head posture recognition and also eye and mouth state recognition. And then detecting he/she is good to drive the vehicle or not and finally, If that person was abnormal in the sense, three different types of alert will be provided, they are self alert, message alert, and mail alert. Here, Convolutional Neural Network [CNN] algorithm is used for implementation. Convolutional Neural Network [CNN] is a type of artificial neural network, which is used in the process of image recognition and processing. It is specifically designed to process the pixel data. The proposed algorithm can be used to detect the drowsiness of the driver while driving the vehicle.
Brain Functional Connectivity in the Resting State and the Exercise State in Elite Tai Chi Chuan Athletes: An fNIRS Study

This study aimed to reveal the characteristics of multi-circuit brain synergy between elite tai chi chuan athletes in resting and exercise states and to provide neuroimaging evidence of improvements in brain function by motor skill training. Functional near-infrared spectroscopy (fNIRS) was used to compare the brain activity of professional tai chi chuan athletes (expert group) and beginners (novice group) in resting and exercise states, and to assess functional connectivity (FC) between the prefrontal lobe and the sensorimotor zone. In the resting state, the FC between the left prefrontal lobe and the right sensorimotor area in the expert group was significantly lower than that in the novice group (P < 0.05). In the exercise state, the patterns of FC between the left prefrontal lobe and right sensorimotor area, the right prefrontal lobe and left sensorimotor area, and the left and right sensorimotor areas in the expert group were significantly lower than that in the novice group (P < 0.05). From the resting state to the locomotor state, the expert group experienced a greater absolute value of functional connection increment between the left prefrontal cortex and right sensorimotor area, and between the left sensorimotor area and right sensorimotor area (P < 0.05). This was positively correlated with the self-evaluation results of motor performance behavior. Under sports conditions, professional athletes’ multi-circuit brain FC strength is significantly reduced, and their elite motor skill performance supports the neural efficiency hypothesis. This may be related to the high adaptation of the brain to specific tasks and the improvement of the integration of somatic perception processing and motor function.
Meta-Estimation of Araucanian Herring, Strangomera bentincki (Norman, 1936), Biological Indicators in the Central-South Zone of Chile (32°–47° LS)

Araucanian herring, Strangomera bentincki, is ecologically and economically important. Its complexity, like that of other pelagic fish, arises from seasonal population changes related to distribution with different spatial dynamics and demographic fractions, subject to strong environmental and fishing exploitation variations. This implies the necessity for a thorough understanding of biological processes, which are interpreted with the help of various activities, and directly or indirectly allow to infer and deliver adequate indicators. These activities facilitate a correct technical analysis and consistent conclusions for resource management and administration. In this context, the present study identified and addressed the need to integrate information on Araucanian herring lengths made available in historical series from commercial fleet fishing and sources such as special monitoring, hydroacoustic cruises, and monitoring during closed seasons. The study focused on methodologies widely used in biostatistics that allow analyzing the feasibility of integrating data from different origins, focused on evaluating the correct management of size structures that vary by origin, sample size, and volumes extracted. We call this tool meta-estimation. It estimates the integration of biological-fishery size indicators that originated mainly from commercial fishing and research fisheries for central-south pelagic fishery with data of catch between January and July 2018.
Using Variants of Conditional-Decoder VAE for Spatial-Temporal Precipitation Nowcasting in Thailand

This paper proposes variants of conditional-decoder variational autoencoder based on convolutional gated recurrent unit (ConvGRU), namely CD-VAEs for spatial-temporal precipitation nowcasting in Thailand. Such precipitation nowcasting relies on ERA5 hourly dataset, the efficient fifth generation of atmospheric reanalysis. Eight ERA5 precipitation-related variables are combined as multi-channel to feed into the models, based on 4–4 input - output hourly time steps. Multiple precipitation-related variables are combined as multi-channel to feed into the models. Three comparative CD-VAE models: Cond-O, Cond-H and Cond-Z differ in terms of the way hidden states, H and latent representation Z are passed from encoder to decoder. Performance evaluations rely on F1 scores, root mean squared errors (RMAEs) along with false negative (FN) as most data falls in no/hardly rainfall noticeable category. Comparison results indicate at least 74.81% better averaged F1 score is yielded by CD-VAEs than unconditional one. Cond-O, whose only the first-state decoder obtains Z as input provides the best nowcasting in terms of averaged RMAE, F1 as well as FN. For rainfall intensity range 0-0.5 mm. /hour with 83.69% frequency rate, Cond-O yields 0.9467 and 0.0347 F1 and RMAE scores; in range 5-72 mm. /hour with 0.35% frequency rate, it results 0.4244 and 0.6955. However, visually examining step-by-step output, Cond-Z, where Z is input to decoding states at all time steps yields the lowest decrease rate of performance over time-step passed.