Miracle-dz/UniFAR-FTUs huggingface dataset:
Asociación Mexicana de Médicos Veterinarios Especialistas en Cerdos

The last decade has seen remarkable progress in the understanding of genomes, including those of farm animals such as the pig. The swine industry has played a significant part in these developments, both by providing direct research support and by its rapid uptake of the practical tools that have been generated. The genetic linkage map now contains over 2000 loci including several hundred genes. This information has enabled researchers to search for loci influencing traits of economic importance using genome scans (or quantitative trait loci, QTL, analysis) and candidate gene approaches. QTL for growth and backfat, meat quality traits and reproduction have been identified. The causative mutations for traits such as porcine stress syndrome (HAL or CRC1), acid meat (RN) and coat colour have all been identified. A mutation in the FUT1 gene confers resistance to a common E. coli associated with a postweaning scours. In addition, results obtained with polymorphisms in candidate genes have also been encouraging (e.g., ESR and PRLR for litter size; heart and adipocyte FABP for meat quality). The swine breeding industry is actively using this information to improve pork production using a combination of quantitative statistical and qualitative molecular techniques collectively referred to as marker assisted selection (MAS). Animal genomics will expand dramatically in the next few years, both in its own right and through the use of comparative methods, which will enable the exploitation of information from other species such as mouse and man including their genome sequences. New approaches such as high throughput gene expression analysis will supplement the DNA approaches used to date. The results obtained from molecular genetics will increasingly be combined with new reproduction techniques to change the way breeders produce and deliver genetic improvement to the global pork chain.
proper-Fast Ray Reor der ing and Appr oximate Sibson Inter polation for Foveated Render ing on GPU

Virtual reality applications in Head-Mounted Displays require high frame rates and low latency rendering techniques. Ray tracing offers many benefits, such as high-quality image generation, but has not been utilized due to lower performance than rasterization. But that can obtain good result combined with gaze-tracking technology and human visual system’s operation principle. In this paper, we propose a method to optimize the foveated sampling map and to maintain the visual quality through the fast voronoi nearest interpolation. The proposed method further reduces the computational cost that has been improved by the previous foveated sampling. It also smoothes the voronoi boundary using adaptive sibson interpolation, which was not possible in real-time. As a result, the proposed method can render real-time high-quality images with low visual difference.
Preliminary study on chemical components of Antidesma montanum

Objetive: To identify the chemical components of Antidesma montanum.Methods: The mixtures were extracted from the tree of Antidesma montanum with purified water,95% ethanol and petrol ether by chemical reaction identification method.Results: The chemical components of flavonoid,phenols,anthraquinone,lactone,alkaloids,volatile oil were positive reactions,and others were negative reactions.Conclusion: The preliminary test indicate that Antidesma montanum may contain effective components such as flavonoid,lactone,alkaloids,phenols,anthraquinone,volatile oil.The research provides foundation for further study of the chemical compositions and biological activities of Antidesma montanum.
Influence of Boron on Sunflower Yield and Nutritional Status

ABSTRACT Sunflower has been mentioned in the literature as a plant that requires large amounts of boron (B) to achieve a successful crop. This study aimed at evaluating the influence of sunflower fertilization with boron on the soil nutrient concentration, index leaf, seed yield, fatty acids’ composition of sunflower oil, and oil content. Cultivar M734 was selected for boron fertilization at 0, 3, 6, 9, and 12 kg ha−1 rates. The maximum economic return was obtained with 3.13 kg ha−1. Neither oil content nor fatty acid composition was affected by boron. With proper irrigation, the M734 cultivar was able to absorb boron in the 0 − 40-cm layer, ultimately producing about 3000 kg ha−1 of seeds in soils with only 0.30 mg kg−1 of boron. Based on these results, it is suggested that the boron fertilization program be expanded to include the soil strata at 0−20 cm and 20−40 cm.
OP-NDTJ210024 1..9

Background. Changes in recipient and donor factors have reopened the question of survival benefits of kidney transplantation versus dialysis. Methods. We analysed survival among 3808 adult Belgian patients waitlisted for a first deceased donor kidney transplant from 2000 to 2012. The primary outcome was mortality during the median waiting time plus 3 years of follow-up after transplantation or with continued dialysis. Outcomes were analysed separately for standard criteria donor (SCD) and expanded criteria donor (ECD) kidney transplants. We adjusted survival analyses for recipient age (20–44, 45–64 and 65 years), sex and diabetes as the primary renal disease. Results. Among patients 65 years of age, only SCD transplantation provided a significant survival benefit compared with dialysis, with a mortality of 16.3% [95% confidence interval (CI) 13.2–19.9] with SCD transplantation, 20.5% (95% CI 16.1–24.6) with ECD transplantation and 24.6% (95% CI 19.4–29.5) with continued dialysis. Relative mortality risk was increased in the first months after transplantation compared with dialysis, with equivalent risk levels reached earlier with SCD than ECD transplantation in all age groups. Conclusions. The results of this study suggest that older patients might gain a survival benefit with SCD transplantation versus dialysis, but any survival benefit with ECD transplantation versus dialysis may be small.
Fast and Slow Blowup in the S Sigma Model and (4+1)-Dimensional Yang-Mills Model∗

We study singularity formation in spherically symmetric solutions of the charge-one and charge-two sector of the (2+1)-dimensional S2 σ-model and the (4+1)-dimensional Yang-Mills model, near the adiabatic limit. These equations are non-integrable, and so studies are performed numerically on rotationally symmetric solutions using an iterative finite differencing scheme that is numerically stable. We evaluate the accuracy of predictions made with the geodesic approximation. We find that the geodesic approximation is extremely accurate for the charge-two σ-model and the Yang-Mills model, both of which exhibit fast blowup. The charge-one σ-model exhibits slow blowup. There the geodesic approximation must be modified by applying an infrared cutoff that depends on initial conditions. Mathematics Subject Classification: 35-04, 35L15, 35L70, 35Q51, 35Q60 Physics and Astronomy Classification: 02.30. Jr, 02.60. Cb This work was partially supported by the Texas Advanced Research Program, and carried out at the University of Texas. Applied Science Fiction; 8920 Business Park Drive; Austin, TX 78759; jlinhart@asf.com. Department of Mathematics; University of Texas at Austin; Austin, TX 78712; sadun@math.utexas. edu
Higher Education in India– New Insights for Innovations in Learning Process

The Indian higher education system is the third largest in the world, after China and the United States. There has been an exceptional growth in number of universities, colleges as well as enrolment in higher education system particularly during last 15 years. The ratio of professional to non-professional enrolment has been almost 1:3. Key challenge before higher education system in India is to make it relevant and purposive, so that it responds to societal needs and enables students to get meaningful employment opportunities. The areas in which there is a need to come out with policy perspective at macro level and innovations at institutional levelare Quality and Excellence, Equity and Access & Inclusion. There is a dire need for the teaching community to keep coming out with innovations in teaching-learning process, in particular in the areas of curricula, pedagogy, and assessment which should make learning an enjoyable experience and more and more purposive to the societal needs. This paper attempts to identify specific areas of innovations in higher education system to improve the quality of higher education, so as to make it relevant and purposive to societal needs. The strategy to innovate has to take care of local and global dimensions of multiple sources of learning such as – networked learning, life-long learning, world class learning with local and international perspective. Above all, higher learning has to imbibe a framework of flexibility by introducing a modular structure which can be taken as per the desired pace of understanding of the student, implying a possibility of completing the degree programme in shorter or longer duration and a choice-based learning that allows the student to opt for interdisciplinary courses of his liking and interest as a part and parcel of curricula to complete his degree programme. © 2016 Elixir all rights reserved. Elixir Edu. Tech. 91 (2016) 38503-38509 Educational Technology Available online at www.elixirpublishers. com (Elixir International Journal)
ICSFuzz: Manipulating I/Os and Repurposing Binary Code to Enable Instrumented Fuzzing in ICS Control Applications

Industrial Control Systems (ICS) have seen a rapid proliferation in the last decade ampliﬁed by the advent of the 4th Industrial Revolution. At the same time, several notable cyber-security incidents in industrial environments have underlined the lack of depth in security evaluation of industrial devices such as Programmable Logic Controllers (PLC). Modern PLCs are based on widely used microprocessors and deploy commodity operating systems (e.g., ARM on Linux). Thus, threats from the information technology domain can be readily ported to industrial environments. PLC application bi-naries in particular have never been considered as regular programs able to introduce traditional security threats, such as buffer overﬂows. In this work, we investigate the feasibility of exploiting PLC binaries as well as their surrounding PLC-speciﬁc environment. We examine binaries produced by all available IEC 61131-3 control system programming languages for compilation-based differences and introduced vulnerabilities. Driven by this analysis, we develop a fuzzing framework to perform security evaluation of the PLC binaries along with the host functions they interact with. Fuzzing such non-executable binaries is non-trivial, as they operate with real-time constraints and receive their inputs from peripherals. To prove the correctness of our fuzzing tool, we use a database of in-house developed binaries in addition to functional control applications collected from online repositories. We showcase the efﬁcacy of our technique by demonstrating uncovered vulnerabilities in both control application binaries and their runtime system. Furthermore, we demonstrate an exploitation methodology for an in-house as well as a regular control binary, based on the uncovered vulnerabilities.
Presence of Hymenolepis nana and diminuta in rodents of the Las Pinas citadel, in Milagro, Ecuador, and its risk for public health

Hymenolepidiosis is a zoonosis of worldwide prevalence, especially in children, and it is caused by rodent cestodes called Hymenolepis (H) nana and Hymenolepis diminuta. It is very common in developing countries with hot, temperate and dry climates. The life cycle of H. nana does not require intermediate hosts, and its usual transmission is fecal-oral (by ingestion of infective eggs); and infection of H. diminuta occurs through ingestion of tenebrionid arthropods with the larval form (cysticercoids). The objective of this study was to determine the presence of H. nana and H. diminuta in the “Las Piñas” citadel, in Rev Mex Cienc Pecu 2020;11(4): 961-970 962 the city of Milagro (Ecuador) and to make the public health risk known, through informative talks. For this research, the rodents were captured with the help of Tomahawk and Sherman traps with non-toxic baits (meat, mortadella, fish, bread). A descriptive, prospective cross-sectional study with qualitative approach, carried out between February 1 and July 30, 2018, analyzed fecal samples using direct methods and flotationcentrifugation with a supersaturated saline solution. Out of 87 captured and processed rodents, 20 cases (22.99 %) were determined for Hymenolepis nana, and 10 cases (11.49 %), for H. diminuta. This was the first report of Hymenolepis nana and diminuta in rodents in the country. It can be concluded that the presence of these parasites at the study site is evident and may become a serious public health problem, due to the risk of transmission to the inhabitants of the sector.
Low-latency Mixed Reality Headset

—This work aims to build an open-source, low-latency hardware-accelerated headset for mixed (virtual or augmented) reality applications. A mixed reality headset is a complex system that encompasses many components, such as displays, IMU sensors, cameras, and processing units. Our motivation is that the commercial headsets are still not fast enough to prevent motion sickness caused by the lag between the display content and the movement of the headset user: the so-called motion-to-photon latency. Technique such as post-render warping (or timewarp) can be utilized to warp the images right before the display based on the tracking information, and is already implemented in many commercial products such as Oculus or Hololens. Nonetheless, the latency is still insufﬁcient to combat motion sickness. In this project, we delve into understanding and reducing the motion-to-photon latency by leveraging specialized hardware platforms as well as computer vision algorithms to build a headset from scratch. Our headset is capable of running simple mixed reality demo applications (cubemap rendering for VR, 3D static object overlay for AR) with a motion-of-photon latency of 13.4 ms. More importantly, it is fully open-source.
The Relationship between Mental Health, Educational Burnout and Strategies for Coping with Stress among Students. A Cross-Sectional Study of Poland

Objective The study aims to investigate the risk factors of bad psychosomatic health among students in quarantine during the first wave of the COVID-19 pandemic. Method:The survey was conducted on-line, on a sample of 1,978 respondents in Poland. The study was carried out by the end of the summer semester. The questionnaire was designed in a way which allows for the observation of main risk factors which have impact on the students’ mental health. The variance analysis and the hierarchical regression analysis were used to determine the predictors of mental health. Results:The results indicate that average and high levels of psychosomatic disorders were observed among 61% of respondents. The hierarchical regression analysis has revealed that the main factors influencing the level of mental health disorders were educational burnout, satisfaction with life, strategies for coping with stress and gender. As indicated by the respondents, mental health disorders increase in tandem with educational burnout, the application of emotion-focused coping strategies and the lack of satisfaction with one’s life. Moreover, it was observed that female respondents scored higher on the scale of disorders in comparison to males. Conclusions:The results of research indicate that distance education and negative coping strategies are the main risk factors of mental health disorders among students during the pandemic.
The Analytics of Robust Satisficing

Satisficers, in contrast to maximizers, are content with attaining the reasonable target that they set for themselves. Such behavior is prevalent in decision makers especially when they are facing complex situations under risks and uncertainty (Simon 1955). While there is an abundance of prescriptive analytics tools for maximizers, it is not the case for satisficers. To fill this gap, we develop a new prescriptive analytics tool called robust satisficing that uses data to help a satisficer achieve her target expected reward or consumption as well as possible under ambiguous risks and prediction uncertainty. It builds upon the robustness optimization framework recently proposed by Long et al. (2021), and we extend it to incorporate aspects of predictive analytics. We adopt linear regression as the underlying predictive model and propose a new estimator uncertainty and residual ambiguity set to characterize the relations between the underlying regression coefficients, which is uncertain but non-stochastic, and the stochastic random variables representing residuals that have ambiguous distributions. The robust satisficing model is also useful in allocating resources for multiple satisficing agents to meet their expected reward targets. We present some useful robust satisficing models that can be solved efficiently, and provide tractable approximations to tackle adaptive linear optimization problems. The simulation studies for multi-product pricing and newsvendor problems elucidate the benefits of the robust satisficing framework in helping the firm attain the target expected profits, mitigate shortfalls, and limit target surplus, if desired. The robust satisficing model can also improve solutions over one that is obtained by solving a baseline empirical optimization model using estimated parameters. The improvement is also more pronounced when data availability is limited. Paradoxically, maximizers can also benefit from the analytics of robust satisficing.
Managerial Competency Approach in Management Development

Introduction Organizations perform their work when the individuals perform their tasks as usefully and effective. For assessing whether personnel could correctly perform their task, we must use special approaches for assessing their performance. Assessing competency approach increases capabilities of organizations in terms of work role for actual performance assessment and as the results provides a proof of their capabilities. Competency approach designed for the first time by Makber Co. in America so that the personal features to be identified which cause effective or superior performance in a profession. Interference of American Management Organization in development & expansion of an qualification program for pedagogy of managers was for being more effective in relation to this approach ( Draganidis, Mentzas, 2006: 52). On the other side of Atlantic, in 1988 the company MCI for the purpose of performance advancement of English organizations emerged via quality enhancement of its managers through extensive research with employers and managers of small & large companies in sections of industry, public and private, The company identified employers’ expected performance criterions from competent managers in various occupational stages; Senior, Medium, First class & supervisor. These criterions which are known as “National Vocational Qualification (NVQ)” . The first national acceptable manifesto was exchanged; what is effective managerial performance and what are the level of performance that employers expect? These NVQ have potential application in many fields: • Identification of competencies which a manager have achieved. • Identification of instructional and developmental’ needs. • Designing learning approaches. • Capability measurement against national criterions. • Re-selection & re-employment of managers. • Performance assessment of managers. • Decision making and selection of promotional needs. ( Draganidis, Mentzas, 2006: 53) What MCI obtained were not restricted to development of a series of managerial criterions for various level of managers between years of 1990 an 1992. MCI have played an important role in giving validity in past learning. Again, the national criterions of management competency which expanded by MCI, employed by APL to encourage managers to use that learning and performance advancement. It is clearly obvious, what MCI believes is that the features of manager must be intellectual. Despite the desired & undesired exploitations in regard to goals & and activities of MCI existed, the main success of this organization is that organizational benefits set under the direct impression of individual managerial performance. As a result, development of a measurement approach for a organizational performance is necessary ( Draganidis, Mentzas, 2006: 54).
One Minute Glaucoma Sugery. A New Way to Treat Glaucoma:Trabeculosclerectomy

Glaucoma is a group of eye diseases that has a broad spectrum of clinical presentations, etiologies, and treatment modalities. Glaucoma causes characteristic pathological changes in the optic nerve with corresponding visual field loss resulting in blindness if untreated. Glaucoma is currently the second leading cause of blindness world-wide [1]. Glaucoma is commonly associated with an elevation in eye pressure. The source of resistance to outflow of the aqueous humor is mainly in the trabecular meshwork and lowering the intraocular pressure is a major treatment goal in glaucoma.
A Computation Offloading Mechanism Based on Sharable Cache in Smart Community

In the smart community, many smart devices often offload computation tasks that use related data to edge servers. In this case, unnecessary data transmissions will occur, resulting in waste of energy resources and increased latency. Therefore, we consider adding a shareable cache to the edge server, allowing different computing tasks to share the original data file of computation task, and further reducing the energy consumption and latency. In this paper, we propose a computation offloading mechanism based on edge server shareable cache. We first propose a four-tier architecture. Subsequently, a resource constraint optimization model combining communication, computing, and caching is established. Then, we design a multi-factor-based edge server sharable cache management and update mechanism (MFBM), and propose a two-scenario computation offloading mechanism (TSCOM). Finally, simulation results show that the mechanism proposed in this paper is effective.
Disease: Features of Healthy and Degenerated Discs Pathomechanism and Biomechanics of Degenerative Disc

The human intervertebral disc (IVD) is a complex organ composed of fibrous and cartilaginous connective tissues, and it serves as a boundary between 2 adjacent vertebrae. It provides a limited range of motion in the torso as well as stability during axial compression, rotation, and bending. Adult IVDs have poor innate healing potential due to low vascularity and cellularity. Degenerative disc disease (DDD) generally arises from the disruption of the homeostasis maintained by the structures of the IVD, and genetic and environmental factors can accelerate the progression of the disease. Impaired cell metabolism due to pH alteration and poor nutrition may lead to autophagy and disruption of the homeostasis within the IVD and thus plays a key role in DDD etiology. To develop regenerative therapies for degenerated discs, future studies must aim to restore both anatomical and biomechanical properties of the IVDs. The objective of this review is to give a detailed overview about anatomical, radiological, and biomechanical features of the IVDs as well as discuss the structural and functional changes that occur during the degeneration process. intervertebral can present with imaging findings consistent with DDD. The challenge for the clinician then is to establish whether there is a causative relationship.