Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitative Trait Loci Mapping for Earliness, Fruit, and Seed Related Traits Using High Density Genotyping-by-Sequencing-Based Genetic Map in Bitter Gourd (Momordica charantia L.)

Bitter gourd (Momordica charantia L.) is an important vegetable crop having numerous medicinal properties. Earliness and yield related traits are main aims of bitter gourd breeding program. High resolution quantitative trait loci (QTLs) mapping can help in understanding the molecular basis of phenotypic variation of these traits and thus facilitate marker-assisted breeding. The aim of present study was to identify genetic loci controlling earliness, fruit, and seed related traits. To achieve this, genotyping-by-sequencing (GBS) approach was used to genotype 101 individuals of F4 population derived from a cross between an elite cultivar Punjab-14 and PAUBG-6. This population was phenotyped under net-house conditions for three years 2018, 2019, and 2021. The linkage map consisting of 15 linkage groups comprising 3,144 single nucleotide polymorphism (SNP) markers was used to detect the QTLs for nine traits. A total of 50 QTLs for these traits were detected which were distributed on 11 chromosomes. The QTLs explained 5.09–29.82% of the phenotypic variance. The highest logarithm of the odds (LOD) score for a single QTL was 8.68 and the lowest was 2.50. For the earliness related traits, a total of 22 QTLs were detected. For the fruit related traits, a total of 16 QTLs and for seed related traits, a total of 12 QTLs were detected. Out of 50 QTLs, 20 QTLs were considered as frequent QTLs (FQ-QTLs). The information generated in this study is very useful in the future for fine-mapping and marker-assisted selection for these traits in bitter gourd improvement program.
Working Online During COVID-19: Accounts of First Year Students Experiences and Well-Being

The sudden move to online learning due to the COVID-19 pandemic has created an influx of epistemological, psycho-social, emotional and financial challenges for first year students. Lecturers and academics had to find creative and sustainable ways of ensuring that all students were epistemologically included. New policies and practices were introduced rapidly at universities to facilitate the unavoidable move to online learning. As initial teacher educators at a public University in South Africa we noted that the sudden move to working online has presented various challenges to first year students’ overall well-being which has further exacerbated issues of exclusion and marginalization for many. We argue that it is against this backdrop that this paper explores how the move to online learning has affected first year students’ overall well-being, at one teacher education institution. The Index for Inclusive Education was used as a theoretical lens to explore student’s perceptions of the institution’s policy, teaching and learning practices, and the institutional culture during this period. One hundred and eighty-seven purposively selected first year students participated in this qualitative, phenomenological research study. Data were collected by means of open-ended questionnaires. Responses were categorized by means of an emergent thematic analysis. The findings indicated that online learning compromised various aspects of well-being including physical, emotional, psycho-social and financial well-being for many students. The experiences of online learning and impact on well-being did, however, differ across students depending on their individual contexts and circumstances indicating that considerations of well-being need to take contextual realities into account to support the well-being and learning of all. We recommend that higher education institutions prioritize the psycho-social, emotional, and financial well-being of students during the period of online learning and not just the pedagogic needs of the qualification.
Power 5G Hybrid Networking and Security Risk Analysis

5G communication technology provides strong support for the power Internet of Things, and it also introduces new security challenges in the application process of the power industry. Starting from the analysis of the power 5G business requirements, this article proposes five 5G enterprise networking construction plans based on different collaborative processing relationships, and conducts a comparative analysis in security, delay, independence, cost, and staffing. According to the analysis of power business requirements and enterprise networking mode, a hybrid networking architecture of 5G and power communication network is proposed, and the 5G network slicing architecture is re-segmented according to different business scenarios. Finally, the new risks and challenges introduced by 5G technology are analyzed in detail from the four parts of terminal access, edge computing, network channel, and core network. Two important risks pointed are specified through a security risk assessment algorithm. In the future, it is also necessary to further study key technologies such as lightweight authentication algorithms and network slice security isolation to realize the real security use of 5G network in the power industry.
Clinical Characteristics-Assisted Risk Stratification for Extent of Thyroidectomy in Patients With 1–4 cm Solitary Intrathyroidal Differentiated Thyroid Cancer

Background Differentiated thyroid cancer (DTC) is the most common type of thyroid cancer. The 2015 American Thyroid Association (ATA) guidelines recommend that lobectomy is suitable for solitary intrathyroidal DTC (SI-DTC) of 1–4 cm. However, some SI-DTC patients with other high-risk characteristics still have poor prognosis and require more aggressive surgical methods. This study aimed to explore the clinical characteristics that are important for the identification and treatment of high-risk patients with SI-DTC of 1–4 cm. Methods The study cohort was obtained from the SEER database, consisting of data between 2004 and 2013. The outcome measures were thyroid carcinoma-specific mortality (CSM) and all-cause mortality (ACM). Patient survival curves were examined using Kaplan–Meier analyses with log-rank tests and Cox proportional hazards regression analyses. Hazard ratios (HRs) were used to show the magnitude of the effect of disease stage on DTC-specific patient mortality. Results The study included 55,947 patients with SI-DTC of 1–4 cm and 4,765 patients with DTC >4 cm. Tumor size, surgical approach, age, sex, race, and radiation exposure were independent risk factors for CSM and ACM. SI-DTC patients with female, age ≤45, and 1 cm< tumor size ≤2 cm were at low risk of CSM [HR = 0.014 (0.002–0.115)] and ACM [HR = 0.115 (0.077–0.171)] when stratified by age, sex, and tumor size. Compared to T3 patients, CSM was not significantly different in male patients, age >45, 2 cm< tumor size ≤3 cm [HR = 0.839 (0.414–1.700)] and male patients, age >45, 1 cm< tumor size ≤2 cm [HR = 0.751 (0.410–1.377)]. Furthermore, compared to T3 patients without extrathyroidal extension (ETE) and lymph node metastasis (LNM), more subgroups of SI-DTC of 1–4 cm had a similar prognosis. In addition, patients with SI-DTC of 1–4 cm showed similar rates of CSM and ACM to T3 patients without ETE, LNM, and distant metastasis (DM). Similar results were obtained when we set the age cut-off value as 55 years, according to the 8th edition of AJCC TNM system. Conclusions Our study demonstrated that sex, age, and tumor size clearly differentiate SI-DTC of 1–4 cm into low-and high-risk categories. Survival rates were significantly lower in subgroups containing old males with larger tumors compared to younger females with small tumors. Total thyroidectomy may be favored in these high-risk subgroup patients.
Group Membership Modulates Fairness Consideration Among Deaf College Students—An Event-Related Potential Study

Group interaction is an essential way of social interaction and plays an important role in our social development. It has been found that when individuals participate in group interactions, the group identity of the interaction partner affects the mental processing and behavioral decision-making of subjects. However, little is known about how deaf college students, who are labeled distinctly different from normal hearing college students, will react when facing proposers from different groups in the ultimatum game (UG) and its time course. In this study, we recruited 29 deaf college students who played the UG in which they received extremely unfair, moderately unfair, or fair offers from either outgroup members (normal hearing college students) or ingroup members (deaf college students), while their brain potentials were recorded. The behavioral results showed that group membership did not impact the acceptance rate of deaf college students. But, event-related potential (ERP) analysis demonstrated an enhanced feedback-related negativity (FRN) elicited by ingroup members compared to outgroup members. Importantly, we found that under fairness conditions, deaf college students induced more positive P2 and P3 facing ingroup members compared to outgroup members. Our results demonstrated that group membership may modulate the performance of deaf college students in the UG and the existence of ingroup bias among deaf college students. This provides some evidence for the fairness characteristics of special populations, so that to improve the educational integration of colleges and universities.
Analysis on the Influence Path of User Knowledge Withholding in Virtual Academic Community – Based on Structural Equation Method-Artificial Neural Network Model

The phenomenon of knowledge withholding is a vital issue that undermines knowledge sharing and innovation, hinders the development of offline and online organizations. Clarifying the relationship between influencing factors and knowledge withholding is significant to improve the phenomenon of knowledge withholding in offline and online organizations. Few types of research focus on the online virtual academic community and integrate the three factors of knowledge, individual, and environment to research knowledge withholding. To solve the limitation, this research is based on sociology and psychology-related theories. The two dimensions of enabling and inhibition are divided into factors affecting knowledge withholding. An attempt is made to explore the path between the three types of factors influencing knowledge, individual and environment, and knowledge withholding. This study collected data from 616 users in China’s virtual academic community. It used a structural equation model combined with a cross-layer connected neural network to conduct an empirical analysis on the proposed hypothesis. The results found that: in the virtual academic community, knowledge power in the enabling dimension is the main reason for users to form knowledge psychological ownership, which affects users’ knowledge withholding. However, the effect of professional commitment on users’ knowledge psychological ownership is not significant. After SEM-ANN model fitting, the combined inhibitory effect of community privacy protection and community reciprocity on user knowledge withholding in the inhibition dimension is significantly improved. This research has a specific guiding significance for enhancing the knowledge withholding phenomenon of the virtual academic community and creating an excellent academic exchange atmosphere.
Nomogram for Predicting Facial Nerve Outcomes After Surgical Resection of Vestibular Schwannoma

Objective The facial nerve (FN) outcomes after vestibular schwannoma surgery seriously affect the social psychology and quality of life of patients. More and more attention has been paid to the protection of FN function. This study aimed to identify significant prognostic factors for FN outcomes after vestibular schwannoma surgery and create a new nomogram for predicting the rates of poor FN outcomes. Methods Data from patients who had undergone operations for vestibular schwannoma between 2015 and 2020 were retrieved retrospectively and patients were divided into good and poor FN outcomes groups according to postoperative nerve function. The nomogram for predicting the risk of poor FN outcomes was constructed from the results of the univariate logistic regression analysis and the multivariate logistic regression analysis of the influencing factors for FN outcomes after surgical resection of vestibular schwannoma. Results A total of 392 participants were enrolled. The univariate logistic regression analysis revealed that age, tumor size, cystic features of tumors, cerebrospinal fluid (CSF) cleft sign, tumor adhesion to the nerve, learning curve, and FN position were statistically significant. The multivariate logistic regression analysis showed that age, tumor size, cystic features of tumors, CSF cleft sign, tumor adhesion to the nerve, learning curve, and FN position were independent factors. The nomogram model was constructed according to these indicators. At the last follow-up examination, a good FN outcome was observed in 342 patients (87.2%) and only 50 patients (12.8%) was presented with poor FN function. Application of the nomogram in the validation cohort still gave good discrimination [area under the curve (AUC), 0.806 (95% CI, 0.752–0.861)] and good calibration. Conclusion This study has presented a reliable and valuable nomogram that can accurately predict the occurrence of poor FN outcomes after surgery in patients. This tool is easy to use and could assist doctors in establishing clinical decision-making for individual patients.
Exploring Methodological Approaches for Strengthening the Resilience of Coastal Flood Protection System

Coastlines are subject to multiple developments related to land use planning and the effects of climate change. These developments generally lead to an increase in the risk of coastal flooding. This article focuses on systems to protect against this hazard, and presents a bibliographical analysis on methods and operational tools to strengthen their resilience. This analysis is carried out by considering that a system of protection is a component of the territory to which it provides protection and that it is therefore necessary to study in depth the relations between this system and the various components of the territory (the natural environment, the built environment and the social and institutional environment). Based on this hypothesis, the concepts of risk and resilience applied to floods are specified and the protection and adaptation strategies commonly used in recent decades are described. This retrospective on concepts and strategies leads us to structure the state-of-the-art analysis on methods and operational tools in relation to two issues: 1) understanding risks; 2) adapting and transforming protection systems. In each case, the use of the concept of resilience implies a clear distinction between systemic and analytical approaches. Finally, this bibliographical analysis reveals the need to revise the protection system concept in order to promote the integration of these systems in the territories. Accordingly, new methodological developments could be considered using ecosystem and socio-economic approaches.
Biomedical Waste Management Practices in India-A Review

Economic development of India in last two decades has resulted in environmental pollution and waste generation in huge quantity in India. Today biomedical waste management has become one of major issue of concern in India taking into account the rate of growth of population. In this paper an attempt is made to study the classification, legislation and management practices in relation with biomedical waste in India. The paper includes various management practices adopted for biomedical waste management by various countries. In all around 60 manuscripts were collected which may be classified such as general literature, legislative aspect, hospital experience, city experience, country experience for the review. In the country like India only 1 to 1.5% is Bio medical waste of the total amount of solid waste generated in a city, of which 10-15% is considered infectious. The paper aims to create awareness amongst the souls. The key step in reducing the hazards from Bio medical waste is to segregate the waste at source. Keyword: Biomedical waste, health care waste India
E-cigarette brands and social media influencers on Instagram: a social network analysis

Background Exposure to visual posts featuring e-cigarette products on social media is associated with increased e-cigarette use among US adolescents. Instagram is the largest source of e-cigarette social media marketing, where influencers—for example, bloggers, brand ambassadors—post promotional materials. This study analysed the network of e-cigarette brands and influencers on Instagram, characterising the most central players in e-cigarette social media marketing. Methods We tracked influencers with public profiles on Instagram who posted promotional e-cigarette content in 2020, had over 1000 followers and high user engagement rate (ratio of likes and comments to followers) of 1%–25% per post. By conducting a social network analysis, we identified the most central (highly involved in promotional activities) influencers and e-cigarette brands. The number of the influencers’ followers aged 13–17 years old and the age verification practices restricting youth access were also assessed. Results There is a highly interconnected network of engaging e-cigarette influencers (n=55) worldwide who collaborated with over 600 e-cigarette brands in 2020. The Asian and US influencers had five to six times more teenage followers compared with the European influencers. 75% of the influencers did not restrict youth access to their promotional content on Instagram. The brands Voopotech, Innokin, Geekvape, Lost Vape, Smok and Vaporesso collaborated with the largest number of influencers (mean n=20). Conclusions It is important to understand associations among influencers and e-cigarette use behaviours, especially youth, to inform effective public health communication and potential policies that could regulate social media marketing sponsored by e-cigarette companies.
Closing the gap on injury prevention: the Oslo Sports Trauma Research Centre four-platform model for translating research into practice

sustained ROSC is not achievable, the best evidence supports rapid transfer (time shorter than 30 min) if possible to a CAC with extracorporeal cardiopulmonary resuscitation (eCPR) ability and rapid deployment of venoarterial extracorporeal membrane oxygenation. For FoP extraction, the use of automatic chest compression devices (ACDs) is recommended to support the transport by ambulance or rescue helicopter. While such technology and systems are still not widely available, especially on a 30 min timescale, we propose this benchmark and encourage every effort be made to offer this level of care to SCA victims on the FoP.
The News Corp.—Dow Jones Merger and the Separation of Editorial and Business Practices

The recent merger of News Corp. and Dow Jones highlights the latest threat to the integrity of business news in the United States and beyond. We argue that this threat comes from the mingling of journalistic and commercially motivated speech, and especially, from the latter masquerading as the former. Using the “speech transparency theory” framework, we recommend separating institutionally or editorially commercial and journalistic speech to create a more transparent environment for the consumption of business news. We also propose harnessing online tools to enhance the transparency of business news for the reading/viewing public.
Theoretical limits to tidal stream energy extraction

Theoretical Limits to Tidal Stream Energy Extraction A thesis submitted for the degree of Doctor of Philosophy Christopher Vogel Magdalen College, Oxford Trinity Term 2014 Tidal stream energy has gained attention as a source of predictable and renewable energy. Devices resembling underwater wind turbines, placed in fast tidal streams, have been proposed to extract this energy. Arrays of many such devices will need to be deployed to deliver a significant amount of energy to the electricity grid. One consequence of energy extraction is that the array provides a resistance to the tidal stream, which may change the local and far field hydrodynamics, which in turn affects the power available to the array. Array-scale hydrodynamic changes affect the flow presented to the devices, which in turn affects the total resistance the array provides to the flow. This thesis is concerned with the interactions between device, array, and the tidal stream resource, to better understand the power potential of turbine arrays. Linear momentum actuator disc theory is employed to describe the operation of an idealised turbine array partially spanning a wide channel. The model is comprised of two quasi-independent sub-models, an array-scale model, describing flow phenomena around the array, which provides the upstream boundary condition to the device-scale model, describing the flow around a device. The thrust applied by the array is the sum of the thrust applied by the devices, completing the sub-model coupling. The numerical simulation of arrays in depth-averaged simulations is then investigated using the two-scale concept developed in the analytic partial-array model. It is shown that the device-scale flow must be modelled with a sub-grid scale model in order to correctly describe the unresolved device-scale flow and hence estimate the power available to an idealised array. Turbulence modelling in depth-averaged simulations of turbine arrays is also discussed. Temporal variations in tidal amplitude and strength mean that generator capacity will need to be economically matched to the available resource. As device performance may consequently depart from the relationship derived in idealised models when power capping is employed, blade element momentum theory is modified to parameterise tidal turbine performance during power capping. The array-scale effect of power capping is studied in depth-averaged simulations, in which it is shown that a significant reduction in device thrust may occur during power capping, reducing the impact of energy extraction from the tidal stream.