Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-Term Evaluation and Normal Tissue Complication Probability (NTCP) Models for Predicting Radiation-Induced Optic Neuropathy after Intensity-Modulated Radiation Therapy (IMRT) for Nasopharyngeal Carcinoma: A Large Retrospective Study in China

Purpose To quantify the long-term evaluation of optic chiasma (OC) and/or optic nerve(s) (ONs) and to develop predictive models for radiation-induced optic neuropathy (RION) in nasopharyngeal carcinoma after intensity-modulated radiotherapy (IMRT). Methods and Materials A total of 3,662 patients' OC/ONs with full visual acuity and dosimetry data between 2010 and 2015 were identified. Critical dosimetry predictors of RION were chosen by machine learning and penalized regression for survival. A nomogram containing dosimetry and clinical variables was generated for predicting RION-free survival. Results The median follow-up was 71.79 (2.63–120.9) months. Sixty-six eyes in 51 patients (1.39%) developed RION. Two patients were visual field deficient, and 49 patients had visual acuity of less than 0.1 (20/200). The median latency time was 36 (3–90) months. The 3-, 5-, and 8-year cumulative incidence of RION was 0.78%, 1.19%, and 1.97%, respectively. Dmax was the most critical dosimetry variable for RION (AUC: 0.9434, the optimal cutoff: 64.48 Gy). Patients with a Dmax ≥64.48 Gy had a significantly higher risk of RION (HR = 102.25; 95%CI, 24.86–420.59; P < 0.001). Age (>44 years) (HR = 2.234, 95% CI = 1.233–4.051, p = 0.008), advanced T stage (T3 vs. T1-2: HR = 7.516, 95% CI = 1.725–32.767, p=0.007; T4 vs. T1-2: HR = 37.189, 95% CI = 8.796–157.266, P < 0.001), and tumor infiltration/compression of the OC/ONs (HR = 4.572, 95% CI = 1.316–15.874, p=0.017) were significant clinical risk factors of RION. A nomogram comprising age, T stage, tumor infiltration/compression of the OC/ON, and Dmax significantly outperformed the model, with only Dmax predicting RION (C-index: 0.916 vs. 0.880, P < 0.001 in the training set; 0.899 vs. 0.874, P=0.038 in the test set). The nomogram-defined high-risk group had a worse 8-year RION-free survival. Conclusions In the IMRT era, Dmax <60 Gy is safe and represents an acceptable dose constraint for most NPC patients receiving IMRT. A reasonable trade-off for selected patients with unsatisfactory tumor coverage due to proximity to the optic apparatus would be Dmax <65 Gy. Caution should be exercised when treating elderly and advanced T-stage patients or those with tumor infiltration/compression of the OC/ON. Our nomogram shows strong efficacy in predicting RION.
Role of Health Literacy in Shaping Consumer Organic Purchase Intention: A TPB-based Perspective

Purpose: The study aims to examine the organic food purchase intention of the consumer in the naïve organic market of Pakistan. Further, the study establishes the moderating role of price elasticity between TPB and consumer purchase intention. Design/Methodology/Approach: 440 responses were considered for data analysis. SEM (Structural Equation Modeling) is used to study the measurement and structural model. Findings: The organic attitude is a prime predictor of consumer purchase intention towards organic food products. In light of the theory of planned behaviour (TPB) study helps to understand the primary perspectives of consumer purchase intention of the organic food in the Pakistani market that is price sensitive. Implications/Originality/Value: This study makes a theoretical contribution to the theory of planned behaviour and practical contribution to the policymakers to shift the farmer focus towards the organic farming practices due to lucrative profit margins and at the same time working on the primary health knowledge to enhance the health-related literacy.
The Complete Mitogenome of the Comma Butterfly Polygonia c-aureum Provides Insights into the Phylogenetic Relationships and Divergence Time Estimation within the Nymphalidae

The Nymphalidae is the largest family of butterflies, including 7,200 species belonging to 600 genera and 12 subfamilies [1-6]. Consequently, it has been the subject of intense studies [7-9]. Nymphalidae is the first taxa that helped us to begin to understand the complex relationships between insects and their host plants [10], the effects of habitat fragmentation on the population dynamics of endangered species [11], and the genetic mechanisms behind the developmental pathways of morphological features [12], and the coevolutionary interactions between organisms in mimicry rings and aposematic coloration [13,14]. Especially the butterflies of the subfamily Nymphalinae [5] have extensively contributed to our knowledge on ecological and evolutionary processes [15-18]. However, the phylogenetic relationships among the different subfamilies and tribes have been chaotic because of the variable shapes and life cycles, it made them become the argue focus for taxonmists [6,1921]. There are still several competing classification schemes based on different data sets and researchers [5,21,22]. With the development of sequencing technologies and increasing number of molecular data set, more and more researches investigated the phylogenetic relationships of butterflies. For example, [23] using the wingless gene, and [5] Research Article
Q-Factor Improving of Film Bulk Acoustic Wave Resonator for Chip-Scale Atomic Clocks

Film bulk acoustic wave resonators (FBARs) with relatively high Q-factor are considered good candidates to be used in the RF module of chip-scale atomic clocks (CSACs). In order to simulate and analyze the resonant properties, the Mason equivalent circuit of the FBAR device is introduced, which consists of five parts including top electrode layer, low temperature silicon oxide layer, piezoelectric layer, bottom electrode layer and a composite support structure layer. With the practical processing conditions considered, the piezoelectric layer with a reasonable thickness of 1.30um is selected to achieve a FBAR device with resonant frequency 4.60GHz and Q-factor 278 by the simulation and analysis. In order to further improve the Q-factor, SiO2 thin films with thicknesses from 0.10um to 0.50um placed between the top electrode and piezoelectric layer are introduced. However, as the SiO2 thin film is introduced, the resonant frequency of the FBAR device will drop. In order to keep the resonant frequency fixed to 4.60GHz, the thickness of the piezoelectric layer is adjusted. Finally, the FBAR device resonating at 4.60GHz with Q-factor 627 is achieved, the thicknesses of the SiO2 film and piezoelectric layer of which are 0.20um and 0.69um respectively. The Q-factor of the FBAR device improves about 350, and the FBAR device is expected to be used in CSACs.
Cellular stress affects the fate of microbial resistance to folate inhibitors in treatment wetlands.

The environmental prevalence of antimicrobial resistance (AMR) has come into focus under the One Health concept. Wastewater treatment systems are among the significant sources of AMR in the environment. In such systems, it is uncertain to which extent antimicrobials present at sub-inhibitory concentrations constitute a selective pressure for bacterial maintenance and acquisition of antibiotic resistance (AR) genes. Here, we mapped AMR to inhibitors of folate biosynthesis in an aerated and a non-aerated horizontal subsurface flow treatment wetland receiving the same pre-treated municipal wastewater. General water characteristics and the concentrations of folate inhibitors were determined to define the ambient conditions over the longitudinal axis of the two treatment wetlands. Profiling of AMR as well as class 1 integrons, a mobile carrier of AR genes against folate inhibitors and other antimicrobials, was carried out by cultivation-dependent and -independent methods. The wetlands achieved mean reductions of AR gene copy numbers in the effluents of at least 2 log, with the aerated system performing better. The folate inhibitors had no noticeable effect on the prevalence of respective AR genes. However, there was a transient increase of AR gene copy numbers and AR gene cassette composition in class 1 integrons in the aerated wetland. The comparison of all data from both wetlands suggests that higher levels of cellular stress in the aerated system promoted the mobility of AR genes via enhancing the activity of the DNA recombinase of the class 1 integron. The findings highlight that environmental conditions that modulate the activity of this mobile genetic element can be more important for the fate of associated AR genes in treatment wetlands than the ambient concentration of the respective antimicrobial agents. By extrapolation, the results suggest that cellular stress also contributes to the mobility of AR gene in other wastewater treatment systems.
Analysis of Crossing Opportunities at the 2018 FIFA World Cup

The purpose of this study was to investigate open-play crosses at the 2018 FIFA World Cup tournament, with spe- cific reference to the mechanism and match status of the crosses. Descriptive statistics (i.e., frequency counts and percentages) and chi-square tests of association were used to analyse the data. The study observed a total of 949 crosses, resulting in 20 goals scored (2.1%). Descriptive statistics highlighted that offensive teams had more goal-scor- ing attempts when they used counter-attacks (18.6%) compared to organized (18.2%) and direct (10.9%) attacks. A greater number of goal-scoring attempts were observed when teams used out-swinging crosses (17.4%) as opposed to in-swinging (15%) and straight (13.5%) crosses. There was a significant (p < 0.05) association between the type of attack and match status. Winning teams preferred to adopt a counter-attacking style of play; losing teams used more direct attacking strategies, and drawing teams utilized more organized attacks. Losing teams took the highest number of crosses from Zones 1 (61.1%) and 2 (56.7%) compared to other zones. These findings provide practical implications for football coaches to tailor match tactics to replicate crossing scenarios at international competitions.
Improving high school students’ conceptual understanding of electricity and magnetism using scaffold analogy instructions

Simulated analogical teaching model has a novel contribution in enhancing students’ learning. This study aims to analyze effect of simulated analogies scaffold by group discussion model in improving students’ conceptual understanding of some selected contents of electricity and magnetism at high school level. The study involved 75 grade 10th students from two different high schools, namely Dagmawi Twodros and Fert high schools found in Debre Tabor Town, South Gondar, Amhara region, Ethiopia. A quasi-experimental method with pretest posttest design was used in the study. An adapted standardized test of electricity and magnetism conceptual understanding test (EMCUT) was used to collect data. The reliability of EMCUT was checked using KR-20 and found to be at about . 81. After checking all necessary assumptions, an independent sample t-test was used to analyze the mean difference on students EMCUT scores between groups. From the result analysis, we found that experimental group who used simulated analogies scaffold by group discussion method in learning of electricity and magnetism showed a higher mean score of EMCUT than the control group. Thus, it can be concluded that the use of simulated analogies scaffold by group discussion model improved high school students’ conceptual understanding of electricity and magnetism.
Understanding the purchase intentions for organic vegetables across EU: a proposal to extend the TPB model

PurposeThe study aims to propose a systematic and innovative model of purchase intention development that integrates Theory of Planned Behaviour (TPB) with its main extensions and clarifies the logical status of the variables involved and the structure of the causal path.Design/methodology/approachThe TPB is the most useful predictive model of purchase intentions, which can be viewed as the product of various psychological determinants. Previous works have proposed extensions of the TPB model to selectively include knowledge, trust or social norms, but an integrated proposal has not yet been formulated. Based on a survey in four European countries (Germany, Italy, Poland and the UK; N = 1,035), this study tests the process of organic vegetable purchase intention development using a structural equation model (SEM). This comprises part of the measurement of latent variables and part of the analysis of dependency relationships (MLR estimation method). FindingsThe results show that purchase intention for organic vegetables is primarily dependent on positive moral attitude (PoMA) towards such consumption. The inclusion of PoMA reduces the effect of attitude toward buying organic vegetables, but the effects of social norms, past behaviour and perceived behavioural control remain significant. Originality/valueThis study proposes an innovative model to explain purchase intention for organic vegetables that incorporates the key current extensions of the TPB model (knowledge, trust and PoMA) into an integrated causal pathway. Understanding the relationships between the antecedents of purchase intention provides relevant information on “what” needs to be improved and “where” interventions are needed to steer consumers towards organic food.
HIGH LACTIC ACID PRODUCTION BY Lactobacillus sp. V156 ISOLATED FROM VIETNAMESE FERMENTED MUSTARD GREEN

In the present study, a lactic acid producing bacterium was isolated and screened from fermented mustard green. The selected bacterial strain (V156) was classified into genus Lactobacillus. High lactic acid concentration of 101.6 g/L and productivity of 2.82 g/L/h were efficiently achieved by Lactobacillus sp. V156 after 36 h of cultivation in fed-batch fermentation using ammonium hydroxide as the neutralizing agent. The production of high lactic acid in short cultivation time demonstrates that Lactobacillus sp. V156 is a promising strain for L-lactic acid production
Occurrence of fluorescent bacterium Pseudomonas aeruginosa a putative biocontrol agent in Indian pompano Trachinotus mookalee Cuvier, 1832

Bacterial diversity studies in healthy marine finfish Trachinotus mookalee Cuvier, 1832 have lead to the isolation of six strains of Pseudomonas spp. The bacteria were isolated from the skin, gills and intestine of live and healthy fish collected from Karwar, Karnataka, India (N13°, 05.722‘; E079°, 48.658‘). Among the strains three were non-fluorescent and others were fluorescent Pseudomonas strains. Fluorescent strains are known to secrete pyoverdine, a yellow-green siderophore which has wide application in agriculture and allied sectors. Fluorescent strains were further characterized by 16S rDNA sequencing and were identified as Pseudomonas aeruginosa strain TRG1 (Genbank Accession No. KC109784).
Understanding the Needs of Social Workers in Sport Settings: Opportunities for Specialized Education and Training

ABSTRACT With many social workers already using or working in sport, understanding available learning opportunities is critical to enhance competency-based practice, a cornerstone of the profession. To meet this need, this study explored learning opportunities used by social workers using or working in sport. In total, 15 social work professionals were interviewed, representing different professional backgrounds and demographics. Findings demonstrate that social workers engaged in several learning opportunities, including formal education, informal learning opportunities, and personal experiences as an athlete. With this new knowledge, organizations such as the National Association of Social Workers and Council on Social Work Education may consider the development of specialty practice areas and social work specializations, further allowing social work students to individualize their education.
Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection

The distributed cryptocurrency networking is critical because the information delivered through it drives the mining consensus protocol and the rest of the operations. However, the cryptocurrency peer-to-peer (P2P) network remains vulnerable, and the existing security approaches are either ineffective or inefficient because of the permissionless requirement and the broadcasting overhead. We design and build a Lightweight and Identifier-Oblivious eNgine (LION) for the anomaly detection of the cryptocurrency networking. LION is not only effective in permissionless networking but is also lightweight and practical for the computation-intensive miners. We build LION for anomaly detection and use traffic analyses so that it minimally affects the mining rate and is substantially superior in its computational efficiency than the previous approaches based on machine learning. We implement a LION prototype on an active Bitcoin node to show that LION yields less than 1% of mining rate reduction subject to our prototype, in contrast to the state-of-the-art machine-learning approaches costing 12% or more depending on the algorithms subject to our prototype as well, while having detection accuracy of greater than 97% F1-score against the attack prototypes and real-world anomalies. LION therefore can be deployed on the existing miners without the need to introduce new entities in the cryptocurrency ecosystem.
Long-Term Decrease in Coloration: A Consequence of Climate Change?

Climate change has been shown to affect fitness-related traits in a wide range of taxa; for instance, warming leads to phenological advancements in many plant and animal species. The influence of climate change on social and secondary sexual traits, which are associated with fitness because of their role as quality signals, is, however, unknown. Here, we use more than 5,800 observations collected on two Mediterranean blue tit subspecies (Cyanistes caeruleus caeruleus and Cyanistes caeruleus ogliastrae) to explore whether blue crown and yellow breast patch colorations have changed over the past 15 years. Our data suggest that coloration has become duller and less chromatic in both sexes. In addition, in the Corsican C.c. ogliastrae, but not in the mainland C.c. caeruleus, the decrease is associated with an increase in temperature at molt. Quantitative genetic analyses do not reveal any microevolutionary change in the color traits over the study period, strongly suggesting that the observed change over time was caused by a plastic response to the environmental conditions. Overall, this study suggests that ornamental colorations could become less conspicuous because of warming, revealing climate change effects on sexual and social ornaments and calling for further research on the proximate mechanisms behind these effects.
Neryl decanoate: female sex pheromone of the click beetle Dalopius marginatus

Dalopius marginatus (L.) (Coleoptera: Elateridae) is a very common click beetle species developing in forest soils in an area from southwest Europe to eastern Siberia. Here, we studied the composition of the female‐released sex pheromone of D. marginatus using coupled gas chromatography‐mass spectrometry (GC‐MS). Neryl octanoate, neryl decanoate, and neryl dodecanoate, in a ratio of approximately 1:100:3, were the only volatile compounds present in the extracts of the pheromone glands. The main compound neryl decanoate proved to be highly attractive to swarming D. marginatus males in the field, whereas adding the two trace compounds in the natural ratio did not influence its attractiveness. Although closely related to the genus Agriotes, D. marginatus is distinct in the use of neryl compounds with comparatively long acid moieties, as opposed to the use of geranyl‐ and/or (E,E)‐farnesyl esters of shorter‐chain fatty acids as sex pheromones in Agriotes species.
The New Approach Research on Singing Voice Detection Algorithm Based on Enhanced Reconstruction Residual Network

With the development of Internet technology, multimedia information resources are increasing rapidly. Faced with the massive resources in the multimedia music library, it is extremely difficult for people to find the target music that meets their needs. How to realize computer analysis and perceive users’ needs for music resources has become the goal of the future development of human-computer interaction capabilities. Content-based music information retrieval applications are mainly embodied in the automatic classification and recognition of music. Traditional feedforward neural networks are prone to lose local information when extracting singing voice features. For this reason, on the basis of fully considering the impact of information persistence in the network propagation process, this paper proposes an enhanced two-stage super-resolution reconstruction residual network which can effectively integrate the learned features of each layer while increasing the depth of the network. The first stage of reconstruction is to complete the hierarchical learning of singing voice features through dense residual units to improve the integration of information. The second stage of reconstruction is mainly to perform residual relearning on the high-frequency information of the singing voice learned in the first stage to reduce the reconstruction error. In the middle of these two stages, the model introduces feature scaling and expansion convolution to achieve the dual purpose of reducing information redundancy and increasing the receptive field of the convolution kernel. A monophonic singing voice separation based on the high-resolution neural network is proposed. Because the high-resolution network has parallel subnetworks with different resolutions, it also has original resolution representations and multiple low-resolution representations, avoiding information loss caused by serial network downsampling effects and repeating multiple feature fusions to generate new semantic representations, allowing for the learning of comprehensive, high-precision, and highly abstract features. In this article, a high-resolution neural network is utilized to model the time spectrogram in order to correctly estimate the real value of the anticipated time-amplitude spectrograms. Experiments on the dataset MIR-1K show that compared with the current leading SH-4Stack model, the method in this paper has improved SDR, SIR, and SAR indicators for measuring the separation performance, confirming the effectiveness of the algorithm in this paper.
Indoor positioning prediction system based on wireless networks and depth sensing cameras

This work presents a new system for predicting the movement of people in indoor user environments, based on an advanced Indoor Positioning System (IPS) developed previously by the authors. The mentioned IPS proposes the combination of WiFi Positioning System (WPS) and depth maps provided by RGB-D cameras to improve the efficiency of existing methods, based uniquely on wire- less positioning techniques. In this approach, the prediction of movements is carried out by means of a proactive strategy, delivering the next estimated position of the person. This estimation provides a richer location and context information, which is useful for ubiquitous computing purposes. For example, energy consumption can be optimized if lighting or electronic devices are turned on/off by means of the user trajectory prediction. This paper shows how several techniques, applied for the developed IPS, offer different solutions to the indoor prediction problem, and it discusses about which of them gives better results.