Miracle-dz/UniFAR-FTUs huggingface dataset:
Treatment and Prevention of Lung Cancer Using a Virus-Infected Reprogrammed Somatic Cell-Derived Tumor Cell Vaccination (VIReST) Regime

Lung cancer is one of the most commonly diagnosed cancer and despite therapeutic advances, mortality remains high. The long period of clinical latency associated with lung cancer provides an ideal window of opportunity to administer vaccines to at-risk individuals that can prevent tumor progression and initiate long-term anti-tumor immune surveillance. Here we describe a personalized vaccination regime that could be applied for both therapeutic and prophylactic prevention of lung cancer, based on the derivation of lung cancer cells from induced pluripotent stem cells. Stem cells from healthy mice were modified to express Cre-dependent KRASG12D and Trp53R172H prior to differentiation to lung progenitor cells. Subsequent viral delivery of Cre caused activation of exogenous driver mutations, resulting in transformation and development of lung cancer cells. iPSC-derived lung cancer cells were highly antigenically related to lung cancer cells induced in LSL-KRASG12D/+; Trp53R172H/+ transgenic mice and were antigenically unrelated to original pluripotent stem cells or pancreatic cancer cells derived using the same technological platform. For vaccination, induced lung cancer cells were infected with oncolytic Adenovirus or Vaccinia virus, to act as vaccine adjuvants, prior to delivery of vaccines sequentially to a murine inducible transgenic model of lung cancer. Application of this Virus-Infected, Reprogrammed Somatic cell-derived Tumor cell (VIReST) regime primed tumor-specific T cell responses that significantly prolonged survival in both subcutaneous post-vaccine challenge models and induced transgenic models of lung cancer, demonstrating that stem cell-derived prophylactic vaccines may be a feasible intervention for treatment or prevention of lung cancer development in at-risk individuals.
Contribution of Training to Scientists’ Public Engagement Intentions: A Test of Indirect Relationships Using Parallel Multiple Mediation

This article investigates the impact science communication training has on engagement intentions through a parallel multiple mediation model. Theory of planned behavior variables for internal efficacy, response efficacy, norms, and attitudes are examined as potential mediators. Based on a survey of randomly selected scientists from universities in the Association of American Universities, results indicate indirect effects for internal efficacy and attitudes toward the audience and consistent direct effects found in earlier research. This research provides a more comprehensive examination of how communication training contributes to scientists’ public engagement activity.
Measuring Engagement in Early Education: Preliminary Evidence for the Behavioral Observation of Students in Schools–Early Education

Engagement in early childhood is defined as a child’s level of participation with the environment. Engagement is an important construct in assessment and intervention of social and early learning competence given its link to school achievement. Few tools exist to assess engagement of young children in early education, and there is a need for a systematic direct observation tool that can be applied universally (e.g., with all young children) in these settings. This article describes preliminary evidence of validity and reliability for the Behavioral Observation of Students in Schools–Early Education (BOSS-EE). Specifically, the article describes results from a survey of experts and practitioners in which feedback was solicited on target behaviors and operational definitions, presents reliability data (i.e., interobserver and test–retest), examines correlations with a criterion measure, and describes variability across settings, sites, and methods (i.e., video vs. in vivo). Next steps in measurement development are discussed with attention to the challenges of producing a tool that can be used in a range of early education settings with diverse groups of young children.
Error-bounded compatible remeshing

We present a novel method to construct compatible surface meshes with bounded approximation errors. Given two oriented and topologically equivalent surfaces and a sparse set of corresponding landmarks, our method contains two steps: (1) generate compatible meshes with bounded approximation errors and (2) reduce mesh complexity while ensuring that approximation errors are always bounded. Central to the first step is a parameterization-based remeshing technique, which is capable of isotropically remeshing the input surfaces to be compatible and error-bounded. By iteratively performing a novel edge-based compatible remeshing and increasing the compatible target edge lengths, the second step effectively reduces mesh complexity while explicitly maintaining compatibility, regularity, and bounding approximation errors. Tests on various pairs of complex models demonstrate the efficacy and practicability of our method for constructing high-quality compatible meshes with bounded approximation errors.
Design-Integrated IoT Capacity Building using Tangible Building Blocks

The emergence of customized services and products utilizing Internet-of-Things (IoT) systems requires specific design skills. Developers need to understand IoT systems as complex hardware/software systems of highly dynamic nature, coherently connected to design representations, such as digital twins. While the importance of designing a use or business case is acknowledged in IoT engineering, there is a lack of methods integrated with the early design phases of IoT systems. We propose an agile support method for design-integrated capacity building. The approach features tangible IoT components and their (meta-)models, which are complemented by digital learning support tools. The benefits stemming from tangible design and implementation are structured and aligned hands-on experiences including system prototyping.
Fast and Scalable I/O Pin Assignment with Divide-and-Conquer and Hungarian Matching

I/O pin assignment is a crucial task in the floorplanning stage of IC implementation. However, this task has not received much attention in the physical design automation literature. Notably, floorplanning is a highly manual stage of the design flow. Nevertheless, it is known that the impact of I/O pin assignment in total routed wirelength (WL) is in the order of 5%. In advanced nodes, density, power and timing become very crucial and WL impacts of 5% are highly significant. We are therefore motivated to revisit the I/O pin assignment problem in this work. We present a fast and scalable Hungarian matching-based heuristic for I/O pin assignment. We present background scalability studies and a divide-and-conquer strategy that significantly reduces runtime without harm to the quality of results. Our algorithm converges in fewer iterations than previous works and presents superior performance according to criteria from the literature.
Validation of the Russian Version of the MoCA Test as a Cognitive Screening Instrument in Cognitively Asymptomatic Older Individuals and Those With Mild Cognitive Impairment

Background: Cognitive impairment is a common condition in older people, and age-related cognitive symptoms may progress to Mild Cognitive Impairment and Dementia. Physical exercise and cognitive training may be useful in maintaining cognitive function, and those developing impaired cognitive function should be advised to plan for the future. The MoCA test is a useful cognitive screening instrument, but the Russian version of this test has not yet been validated. The aim of the present study was to validate the Russian version of the MoCA test. Methods: The study population included 160 residents of Israel aged 65 years and older with Russian as their mother tongue, 80 of whom were cognitively asymptomatic (AC) and 80 with a clinical diagnosis of MCI. All participants underwent cognitive screening using the Russian version of the MoCA test (MoCA-Ru) as well as evaluation by means of a validated computerized cognitive assessment battery (Neurotrax). Results: The mean age of the study population was 78 ± 6.6 years and 123 (76.9%) were women. The MoCA-Ru score was higher in the AC group than in those with MCI (24.3 ± 3.74 vs. 20.2 ± 3.07, P < 0.0001). At a cutoff value of ≥25, sensitivity was 0.99 and specificity 0.54, with area under the curve (AUC) of 0.81. Conclusions: We found the Russian language version of the MoCA test to be a useful cognitive screening instrument for older people with mild cognitive impairment.
Elemphasize: Emphasizing Mechanical Tactile Sensation via Electrical Stimulation

In order to provide a tactile sensation that is appropriate for tense situations such as being slapped or slashed, it must be safe as well as strong and natural. Mechanical stimulation can present a natural sensation, but too much intensity can lead to injury. Electrical stimulation can present high intensity stimuli without mechanical damage, but the naturalness of tactile sensation is inferior due to its bizarre sensation. We proposed a method to combine mechanical stimulation and electrical stimulation to achieve strong sensation without losing natural sensation. An electrode is attached to the physical object and the subjective intensity of the mechanical stimulus is enhanced by the electrical stimulus when contact with the skin. We also present several scenarios such as application to a thrilling VR content and training to get used to fear of injection pain.
The Behavior of Lux-marked Ralstonia, solanacearum in Grafted Tomato Cultivars Resistant or Susceptible to Bacterial Wilt

Ralstonia solanacearum OE1-1 was transformed with pNP126 carrying a luxCDABE operon of Vibrio fisheri and a promoter region derived from the genomic DNA of Burkholderia glumae. Intensity of bioluminescence from YN5 thus obtained positively correlated with growth of the bacteria from the lag phase to the stationary phase in vitro. In this study, we used the VIM camera equipped with the ARGUS 50 to successively observe bioluminescence and the development of bacterial wilt in singly and doubly grafted tomato plants in various combinations of the resistant LS-89 and the susceptible Oogata-Fukuju. The degree of bacterial growth in the roots and collars was one of the determinants for the induction of bacterial wilt in tomato plants. Resistance of LS-89 resulted from suppression of bacterial proliferation in the roots and stems below the first leaf. In grafted tomato plants using LS-89 as the rootstock, all rootstocks were latently infected with the bacteria. The bacteria were also recovered from susceptible scions even though the plants did not wilt. In some plants, the bacteria proliferated in the susceptible scions. These plants wilted heavily. Taken together, suppression of bacterial proliferation in the roots and the stems below the first leaf of resistant rootstocks affected the bacterial growth in the susceptible scions and quantative control of resistance against development of the disease.
Impact of Migration of Labour Force due to Global COVID-19 Pandemic with Reference to India

This article discussed some of the important issues regarding the effect of epidemics like COVID-19 on the migrant population. These impacts are most troubling for low-income households, which are less well positioned to cope with earnings losses during a recession, have no alternative earnings and have no social security available. Most of these workers earn little more than a subsistence wage and have no other means to protect their incomes if they lose their jobs. Migrant workers constitute quite a large proportion of such vulnerable population. Millions of migrant workers are anticipated to be left unemployed in India due to the lockdown and subsequent fear of recession. Many of the migrant workers have returned to their villages, and many more are just waiting for the lockdown to be lifted. The risk is particularly higher for those who are working in unorganised sectors, and those who do not have writer contracts, or those whose contracts are at the verge of completion. The lockdown and the subsequent recession are likely to first hit contract workers across many of the industries. On the one hand, lockdowns and social distancing measures are drying up jobs and incomes, whereas they are likely to disrupt agricultural production, transportation systems, and supply chains on the other. This poses a challenge of ensuring food security and controlling already rampant malnutrition, particularly among children, which is likely to result in increased infant and child mortality. There is a need to relook at the national migration policies, which should accommodate the assistance and protection of migrants arriving from, or faced with the prospect of returning to, areas affected by health crises. Also, there is a need to establish resilient food systems that could reduce food insecurity and the pressure to return to origin among migrants.
Development and Survival of Immature Aubeonymus mariaefranciscae (Coleoptera: Curculionidae) at Constant Temperatures

Laboratory studies were conducted to assess the effect of temperature on the development rate and survival of a new sugar beet pest Aubeonymus mariaefranciscae Roudier at 7 constant temperatures ranging from 15 to 33°C. Egg development occurred over the entire range of temperatures, although a large decrease (30%) in hatching percentage was observed at 33°C. The 1st, 2nd, and 3rd instars were able to develop at all temperatures, but mortality was high (>50%) at >30°C. Conversely, a low percentage of mortality for the 4th instar and pupae was recorded at 30°C, but they failed to develop at 50% of the total larval period at all temperatures. Considering developmental time and survival, the most favorable temperature range appeared to be 23-26°C. Both linear and nonlinear (Logan type III) models provided a reliable fit of developmental rates versus temperature for all immature stages. To complete development from egg to adult 545 DD above a development threshold of 16.7°c were needed. Yet the nonlinear model can describe more accurately (r 2 > 0.96) the development from egg to adult, particularly at the high (27.4°C) and low-temperature (15.3°C) thresholds. The potential of these models to predict the phenology of this pest are discussed.
Proteomic Analysis of Seed Storage Proteins in Low Allergenic Soybean Accession

Soybean (Glycine max L. Merr.) is a major source of protein for human and animal nutrients. However, soybean seed also contains a number of allergenic proteins, which limit its extensive usage in the food industry. P34 (Gly m Bd 30K), a low-leveled but highly conserved seed storage protein, has been described as a major allergen in soybean seed. Recently, two low P34 soybean accessions, PI603570A and PI567476, were identified by extensive screening of soybean germplasm. We have surveyed spatiotemporal expression pattern of P34 protein in low P34 accession, PI567476, and cultivated soybean accession, Clark, using antibody against P34. Immunoblot analysis showed not only seed specific expression pattern of P34, but also significantly reduced expression of P34 in PI567476 compared to Clark. Additionally, we performed proteomic analysis to compare protein compositions between PI567476 and Clark accessions. Although the overall distribution pattern of the protein spots was similar in both soybean accessions, 19 protein spots showing different intensity between both accessions were detected and analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/MS). PI567476 accession exhibited altered expression of several seed storage proteins including allergens and seed maturation-related proteins. The detailed analysis for composition of seed storage proteins of the PI567476 accession provides valuable information in use of this soybean germplasm for breeding of low allergenic elite soybean lines, which is expected to enhance food safety and make soy products available to allergen-sensitive individuals.
Hospital Preparedness and Resilience in Public Health Emergencies at District Hospitals and Community Health Centres

Background: Public health emergencies (PHE) caused by natural hazards spread from one particular locality to adjacent geographic areas and then encompass the entire planet in today’s fast global connectivity mode. Each country, including India, has its own set of potential disasters based on the hazards present as well as the unique vulnerabilities of the community and community’s preparedness to respond to particular disasters. Currently, human history is observing a very critical time fighting an invisible enemy—COVID-19. Therefore, in this study, we seek to understand the standardised measures of public hospital preparedness and resilience at times of health emergencies, including a pandemic, the most current one being COVID-19. Methods: We conducted a descriptive, cross-sectional study among health officials of district hospitals (DHs) and community health centres (CHCs) of Rajasthan using a semi-structured online questionnaire, with COVID-19 in mind, and sending it to those who had attended a training programme on disaster preparedness in hospitals. Results: In all, questionnaires were sent to 80 health officials of DHs and CHCs, of which 58 responded, with a response rate of 72.5 per cent. We collected responses on public health emergency preparedness, training-related issues, the capacity to deal with emergencies and prior experience in managing an emergency. Conclusion: The resilience and preparedness of DHs and CHCs in Rajasthan appear to be limited. From the studies it has been revealed that proper training and education on disasters like the current COVID-19, which is of significant importance for healthcare workers, is limited to only 37.9 per cent of healthcare workers. It also emerges that the staff members whenever required could mark and perform in the triage area, but the Isolation room haven’t got the request facilities and equipped to stabilise a critical patient despite availability of emergency stock of medicine. The stated functional status of DHs and CHCs reveals that the level of emergency preparedness is between low and medium and also varies from hospital to hospital and from CHC to CHC. Hence, it is time to reassess and upgrade emergency preparedness plans, which include mitigation, preparedness, response and recovery. Federal-, state- and local-level emergency management agencies’ functioning has to be effective and well-coordinated with the local level of operation.
Test Automation Challenges for Application Landscape Frameworks

Test Automation is essential to increase the effectiveness, efficiency and coverage of software testing activities with reasonable effort which is required to keep up in a fast-paced industry with a growing demand for high quality software products. Nevertheless adopting test automation is a difficult task for development organisations. Automating the testing process for application landscape frameworks is especially hard due to the complexity caused by the variety of customer application landscape configurations, used tools and platforms. This complexity often is hard or impossible to reduce due to given domain constraints, e.g. limited resources of embedded systems and different platforms that have to be supported. In addition, existing hardware and software systems in the customer’s application landscape require rather flexible solutions and configuration options for different customers. In this paper we present some major challenges adopting test automation for application landscape frameworks, as research shows that this is especially difficult for such highly configurable systems. Furthermore initial ideas on how to cope with these challenges are outlined.
Assessing the Impact of Public Health Campaigns Through Epidemiological, Communication and Education Indicators

Syphilis, a sexually transmitted infection, is a growing public health concern. Communication strategies have been applied to alert and educate the population of the risks of the disease. This applied study aims to investigate the impact of public health campaigns through several indicators. For this, a tool is being developed to capture, store and analyze this data, in order to make this information available clearly and accurately to decision makers, facilitating the development of new education, communication and disease prevention strategies. A case study is being conducted. Data from the “Syphilis No! ” campaign and disease notification data provided by the Ministry of Health in Brazil are being analyzed in conjunction with others indicators, such as the growth of Internet news, social networks messages and interest searches through Google Trends. The results show that the volume of news about the disease is increasing, having peaked during and shortly after the campaign period. In addition, the subject was widely researched on the Internet.
Microgeographic Variation of Morphometric and Electrophoretic Characters in Peromyscus leucopus

White-footed mice, Peromyscus leucopus, from a small geographic area (<12 kM2) in N-central Kansas were analyzed for patterns of morphological and electrophoretic variability. Peromyscus leucopus were collected from five areas of favorable habitat separated to varying degrees by unfavorable habitats: croplands, pastures, and roads. Populations sampled were assumed to be relatively isolated. Results showed little subdivision; no significant morphological variation occurred among areas and there were only slight differences at one genetic locus. Lack of differentiation is likely due to dispersal although trapping efforts in unfavorable habitats in this general region seldom yield any P leucopus. Age, but not sex, had a significant effect on morphological variation in Peromyscus leucopus; this pattern was the same for all samples. White-footed mice in N-central Kansas were larger than those from the eastern and southern portions of the range -a macrogeographic pattern of size variation that fits a reformulation of Bergmann's Rule. INTRODUCTION White-footed mice, Peromyscus leucopus, occur in woodlands and brushy habitats in much of the eastern two-thirds of the United States (Baker, 1968). In arid regions of the range, populations are restricted to riparian woodlands, scattered patches of shrubs and trees, and planted woodlands (e.g, shelterbelts) on farmsteads (Fleharty and Stadel, 1968), although individuals are occasionally found some distance from trees (Choate and Fleharty, 1975). Isolation among populations in areas of favorable habitat is likely related to the magnitude of barriers to dispersal (unfavorable habitat). To assess differentiation among populations of P leucopus under these conditions, we examined morphological and electrophoretic characteristics of samples from five localities within a small geographic area (< 12 kM2) in N-central Kansas. These samples were from five areas of favorable habitat separated by unfavorable habitats-pastures, croplands and roads. Our objectives were to: (1) describe aspects of morphological and electrophoretic variation; (2) examine effects of age and sex on morphological variation; (3) estimate the degree of subdivision among populations, and (4) compare P leucopus from this region to those from other parts of the distributional range. STUDY SITE AND METHODS Peromyscus leucopus were live-trapped in five areas of wooded habitat which were interspersed among mixed grass prairie, cropland and additional woodland within the total study site (< 12 kM2). Samples 2 and 3 were from shelterbelts and 1, 4 and 5 were from wooded areas along streams (Fig. 1). Sampling areas were separated by grassland and/ or cropland except for 4 and 5 which were separated by an elevated unpaved road. Two study areas, 2 and 5, were sampled in 1976 (2A and 5A) and 1977 (2B and 5B); the other three were sampled only in 1977. Specific localities and sample sizes (N) were (all 'Present address: Department of Biology, Southwest Missouri State University, Springfield 65804.