Miracle-dz/UniFAR-FTUs huggingface dataset:
Solidity effect on crashworthiness characteristics of thin-walled tubes having various cross-sectional shapes

ABSTRACT In this paper, effects of solidity and cross-sectional shape on crashworthiness characteristics of thin-walled tubes under dynamic axial impact load are examined. For this purpose, explicit finite element analyses are conducted for tubes having triangular, square, circular, hexagonal, octagonal and multi-cell cross-sectional shapes. The FE model is validated with analytical and experimental results that were reported in literature. It is found that FE solutions agree well with analytical and experimental results presented in the literature. To compare the tubes having different geometric dimensions and shapes on the same ground, the tubes are selected such that they have the same mass and length, and the striker mass and velocity are identical for all tubes as well. By changing solidity of tubes between 0.05 and 0.25, the cross-sectional dimensions of tubes are specified. The crushing force efficiency, crushing strain, total efficiency, structural efficiency and dynamic energy absorbing effectiveness parameters are calculated for various tubes as a function of the solidity parameter. It is concluded that crashworthiness performance of thin-walled tubes is significantly influenced by the solidity and cross-sectional shape. Results about the most effective solidity values and cross-sectional shapes are presented.
Machine Learning Architecture for Heart Disease Detection: A Case Study in Iraq

In recent years, the amount of data has been increased dramatically, driven by many real-world fields such as marketing, learning, social media, multimedia, medicine…etc. Because of that, data mining algorithms have extensively used on these data to serve as one of the newest data modeling and analytical tools, by which, a knowledge-rich environment can be generated and decision-making can be improved. Data mining tools can be employed for reducing these tests and predicting future trends by valuable information-driven decisions. There are two categories of data mining algorithms: descriptive and predictive. The rules of clustering, association, summarization, and sequence discovery will be associated with descriptive type. On the other hand, predictive type will compromise classification, regression and time series analysis rules. In this paper, a study have been presented for helping specialists and physicians in Iraq to investigate heart problems via (Weka 3.8.3) software focusing on four data mining classification techniques (1BK, J48, Naïve Bayes and REPTREE). The predictive precision tests, the ROC curve, and the AUC value are calculated using a compiled dataset that have been obtained from the hospital of Ibn al-Bitar and the hospital of Baghdad medical city. The performance of the J48 technique (94.5%) indicates optimum performance based on SMO no performance factor of Baghdad medical city.
Quarter-level analyses of the associations among subclinical intramammary infection and milk quality, udder health, and cheesemaking traits in Holstein cows.

In this study, we investigated associations among subclinical intra-mammary infection (IMI) and quarter-level milk composition, udder health indicators, and cheesemaking traits. The dataset included records from 450 Holstein cows belonging to three dairy herds. After an initial screening (T0) to identify animals infected by Streptococcus agalactiae, Streptococcus uberis, Staphylococcus aureus, and Prototheca spp. , 613 quarter milk samples for 2 different sampling times (T1 and T2, 1 mo after T1) were used for analysis. Milk traits were analyzed using a hierarchical linear mixed model including the effects of days in milk, parity and herd, and bacteriological and inflammatory category [culture negative with somatic cell count (SCC) <200,000 cells/mL; culture negative with SCC ≥200,000 cells/mL; or culture positive]. All udder health indicators were associated with increased SCC and IMI at both sampling times. The largest effects were detected at T2 for milk lactose (-7% and -5%) and milk conductivity (+9% and +8%). In contrast, the increase in differential SCC (DSCC) in samples with elevated SCC was larger at T1 (+17%). Culture-negative samples with SCC ≥200,000 cells/mL had the highest SCC and greatest numbers of polymorphonuclear-neutrophils-lymphocytes and macrophages at both T1 and T2. Regarding milk cheesemaking ability, samples with elevated SCC showed the worst pattern of curd firmness at T1 and T2. At T2, increased SCC and IMI induced large decreases in recoveries of nutrients into the curd, in particular recovered protein (-14% and -16%) and recovered fat (-12% and -14%). Different behaviors were observed between Strep. agalactiae and Prototheca spp. , especially at T2. In particular, samples that were positive for Strep. agalactiae had higher proportions of DSCC (+19%) compared with negative samples with low SCC, whereas samples that were positive for Prototheca spp. had lower DSCC (-11%). Intramammary infection with Prototheca spp. increased milk pH compared with culture-negative samples (+3%) and negative samples that had increased SCC (+2%). The greatest impairment in curd firmness at 30 min from rennet addition was observed for samples that were positive for Prototheca spp. (-99% compared with negative samples, and -98% compared with negative samples with high SCC). These results suggest that IMI caused by Prototheca spp. have detrimental effects on milk technological traits that deserve further investigation of the mechanisms underlying animals' responses to infection.
Heart injuries related to cardiopulmonary resuscitation: a risk often overlooked.

BACKGROUND Current studies focus primarily on skeletal injuries following cardiopulmonary resuscitation (CPR). Few studies report on intrathoracic injuries (ITI) and none, to our knowledge, focus exclusively on cardiovascular injuries related to cardiac massage. This study was based on autopsy findings and assessed the incidence of non-skeletal CPR related injuries related to chest compression. METHODS This was a retrospective forensic autopsy cohort study conducted in a single institution after resuscitation. Pathologists recorded autopsy data using standardized protocol contained information from external and internal examination of the body. RESULTS Thirty-eight autopsy reports (21 males and 17 females), post- CPR-failure were studied. Heart lesions were reported in 19 patients (group A). The average age was 65.7 years (69.05 group A and 66.5 group B). Median weight was 75.2 Kg and was significantly higher in group B (p = 0.01). Pericardial lesions were identified in 6 patients in group A and 2 in group B (p = 0.2 ns). No significant difference was observed among the two groups (Table 4) with the exception of the average number of rib fractures which was higher in group A (p = 0.04). Autopsy findings revealed heart injuries in 50% of patients with a high prevalence (52.6%) of left ventricle injuries. CONCLUSION Cardiac lesions represent frequent and serious complications of unsuccessful CPR. Correct performance of chest compressions according to guidelines is the best way to avoid these complications.
GAN-based Intrinsic Exploration for Sample Efficient Reinforcement Learning

: In this study, we address the problem of efﬁcient exploration in reinforcement learning. Most common exploration approaches depend on random action selection, however these approaches do not work well in environments with sparse or no rewards. We propose Generative Adversarial Network-based Intrinsic Reward Module that learns the distribution of the observed states and sends an intrinsic reward that is computed as high for states that are out of distribution, in order to lead agent to unexplored states. We evaluate our approach in Super Mario Bros for a no reward setting and in Montezuma’s Revenge for a sparse reward setting and show that our approach is indeed capable of exploring efﬁciently. We discuss a few weaknesses and conclude by discussing future works.
Osteopontin as Candidate Biomarker of Coronary Disease despite Low Cardiovascular Risk: Insights from CAPIRE Study

Stratification according high cardiovascular (CV) risk categories, still represents a clinical challenge. In this analysis of the CAPIRE study (NCT02157662), we investigate whether inflammation could fit between CV risk factors (RFs) and the presence of coronary artery disease (CAD). In total, 544 patients were included and categorized according with the presence of CAD and CV risk factor burden (low/multiple). The primary endpoint was to verify any independent association of neutrophil-related biomarkers with CAD across CV risk categories. The highest values of osteopontin (OPN) were detected in the low RF group and associated with CAD (23.2 vs. 19.4 ng/mL; p = 0.001), although no correlation with plaque extent and/or composition were observed. Conversely, myeloperoxidase (MPO) and resistin did not differ by CAD presence. Again, OPN was identified as independent variable associated with CAD but only in the low RF group (adjOR 8.42 [95% CI 8.42–46.83]; p-value = 0.015). As an ancillary finding, a correlation linked OPN with the neutrophil degranulation biomarker MPO (r = 0.085; p = 0.048) and resistin (r = 0.177; p = 3.4 × 10−5). In the present study, OPN further strengthens its role as biomarker of CAD, potentially bridging subclinical CV risk with development of atherosclerosis.
COVID-19 vaccine hesitancy among health professionals in a tertiary care center at the University of Gondar Specialized Hospital, Ethiopia: A cross-sectional study

Background: COVID-19 is a highly communicable disease that can be transmitted from animal-to-human and human-to-human contacts. It is still now a major global threat for which vaccination remains the ultimate solution to protect it, especially healthcare professionals are the first frontiers to fight against the COVID-19 virus which makes them at higher risk of this disease. Therefore, to reduce the spread of COVID-19, we need to improve the acceptance of COVID-19 vaccines is crucial. The aim of this study was to assess the vaccine hesitancy of the COVID-19 vaccine among health professionals who worked at the University of Gondar Specialized Hospital. Methods: A cross-sectional survey was conducted between 1 May and 10 June 2021. And the data were analyzed using Statistical Package for Social Sciences version 26. A chi-square test was conducted and to assess the associations between socio-demographic characteristics, perceived risk of COVID-19, attitude, and acceptance of COVID-19 vaccine, a p-value of less than 0.05 was considered to declare statistical significance. Results: We surveyed 319 health professionals with a response rate of 67.87%. Of these, 74.9% (239) were male, and 81.2% (259) of health professionals were perceived exposed to COVID-19 without testing. 87.7% of respondents would like to vaccinate their parents. 66.2% (208) of them have accepted the COVID-19 vaccine. 54.85% (175) of health professionals had a good attitude and 45.8% (146) of health professionals were received the first-round COVID-19 vaccine. Conclusion: This study showed that more than 60% of health professionals had good acceptance of COVID-19 vaccination during the pandemic period. Regarding vaccine safety profile may reduce the vaccination in the future. To increase vaccine uptake in response to the COVID-19 pandemic, COVID-19 vaccination programs should be redesigned to remove barriers to vaccine acceptance. Knowledge and attitude toward the COVID-19 vaccine should be promoted.
On the interference color variations in the Hedychridium roseum species-group (Hymenoptera Chrysididae) from Bulgaria

A number of the Hedychridium roseum species-group individuals (Hymenoptera Chrysididae), captured mainly in Bulgaria hare here studied. We discovered that the presence/absence on metasoma of red interference color is a variable and unstable feature both in the males and the females of this species-group. The body interference colors are directly connected to the cuticle inner structure and thus to body features. As a consequence, the variable metasoma coloration is a valid taxonomic feature ultimately related to the DNA of single individuals. In the case of Hedychridium roseum species-group the taxonomy is complex and often based on subtle features. A review including also the influence of interference colors is discussed and integrated with the most recent taxonomy. In addition, the presence in Bulgaria of the following six species is confirmed: Hedychridium sculpturatum (Abeille de Perrin, 1877); H. scutellare (Tournier, 1878); H. rossicum Gussakovskij, 1948; H. roseum (Rossi, 1790); H. insulare Balthasar, 1953; H. caputaureum G. Trautmann et W. Trautmann, 1919. The lognormal distribution of above species is entirely positive thus statistic inference shows that in Bulgaria all species of Hedychridium roseum species-group have been captured and studied.
SES, Relative Deprivation, Perceived Kindergarten Support and Turnover Intention in Chinese Teachers during the COVID-19 Pandemic: A Moderated Mediation Model

ABSTRACT Research Findings: This study examined the relationship between Chinese early childhood teachers’ socioeconomic status and turnover intention during the COVID-19 pandemic, with relative deprivation and perceived support as the mediator/moderator. Altogether 1070 early childhood teachers were recruited and surveyed online. The statistical results indicated that (1) Socioeconomic status was negatively associated with early childhood teachers’ turnover intention; (2) relative deprivation partially mediated the relationship between socioeconomic status and early turnover intention; and (3) perceived kindergarten support moderated the relationship between socioeconomic status and relative deprivation and turnover intention. Practice or Policy: Boosting socioeconomic status might not be workable, but reducing relative deprivation and offering social support could be implemented to prevent turnover intention in Chinese early childhood teachers during the COVID-19 pandemic.
Productive petascale computing: requirements, hardware, and software

Supercomputer designers traditionally focus on low-level hardware performance criteria such as CPU cycle speed, disk bandwidth, and memory latency. The High-Performance Computing (HPC) community has more recently begun to realize that escalating hardware performance is, by itself, contributing less and less to real productivity-the ability to develop and deploy high-performance supercomputer applications at acceptable time and cost. The Defense Advanced Research Projects Agency (DARPA) High Productivity Computing Systems (HPCS) initiative challenged industry vendors to design a new generation of supercomputers that would deliver a 10x improvement in this newly acknowledged but poorly understood domain of real productivity. Sun Microsystems, choosing to abandon customary evolutionary approaches, responded with two revolutionary decisions. The first was to investigate the nature of supercomputer productivity in the full context of use, which includes people, organizations, goals, practices, and skills as well as processors, disks, memory, and software. The second decision was to rethink completely the design of supercomputing systems, informed by productivity-based requirements and driven by recent technological breakthroughs. Crucial to the implementation of these decisions was the establishment of multidisciplinary, closely collaborating teams that conducted research into productivity and developed the many closely intertwined design decisions needed to meet DARPA's challenge. Among the most significant results from Sun's productivity research was a detailed diagnosis of software development as the dominant barrier to productivity improvements in the HPC community. The level of expertise required, combined with the amount of effort needed to develop conventional HPC codes, has already created a crisis of productivity. Even worse, there is no path forward within the existing paradigm that will significantly increase productivity as hardware systems scale up. The same issues also prevent HPC from "scaling out" to a broader class of applications. This diagnosis led to design requirements that address specific issues behind the expertise and effort bottlenecks. Sun's design teams explored complex, system-wide tradeoffs needed to meet these requirements in all aspects of the design, including reliability, performance, programmability, and ease of administration. These tradeoffs drew on technological advances in massive chip multithreading, extremely high-performance interconnects, resource virtualization, and programming language design. The outcome was the design for a machine to operate at petascale, with extremely high reliability and a greatly simplified programming model. Although this design supports existing codes and software technologies-crucial requirements-it also anticipates that the greatest productivity breakthroughs will follow from dramatic changes in how HPC codes are developed, changes that require a system of the type designed by Sun's HPCS team.
Assessing the Prognostic Value of the ChOLE Classification in Predicting the Severity of Acquired Cholesteatoma

Objective: To assess the prognostic value of the ChOLE classification in predicting the severity of acquired cholesteatoma. Method: A retrospective chart review of patients undergoing primary cholesteatoma surgery in our tertiary referral center. The primary outcome measures were analyzed in three groups of follow up (FU): residual cholesteatoma in group A, FU > 52 weeks after last-look surgery or MRI-DWI; recurrent cholesteatoma in group B, FU > 52 weeks after last outpatient visit; and adverse events (AE) in group C, FU > 12 weeks after surgery. Cholesteatomata were staged according to the ChOLE classification. Kaplan–Meier curves were used to determine the prognostic value of the classification in predicting cholesteatoma severity, while correcting for FU. Results: No significant differences were observed between the various stages of the ChOLE classification and residual or recurrent cholesteatoma rate, nor the occurrence of AE. Cholesteatoma extension to the sinus tympani or widespread in the mastoid, as well as absence of the stapes superstructure were predictive of residual disease. Sclerotic mastoids had a lower risk of residual disease than mastoids with good or poor pneumatization and ventilation. Poorly ventilated and poorly pneumatized mastoids were associated with increased risk of recurrence. Widespread cholesteatoma in the mastoid as well as presence of preoperative extracranial complications were correlated with an increased risk of AE. Conclusion: The ChOLE classification does not predict residual nor recurrent disease, nor the occurrence of AE, in our study population. Risk factors for severe cholesteatoma were identified, potentially useful for the development of future classifications.
Modeling the Role of Cancer-Associated Fibroblasts in Tumor Cell Invasion

Simple Summary Accurate in vitro modeling of diseases is essential to making breakthrough and clinically relevant discoveries. Assays to examine the process of invasion—a classical hallmark of cancer—have evolved over the years to overcome shortfalls in their design and accommodate new knowledge in the field, such as the role of the tumor microenvironment (TME) in propagating this process. The goals of this review are two-fold: To walk through the tried-and-true plus novel and new invasion assays currently used in cancer research with a focus on those incorporating cancer-associated fibroblasts (CAFs), and to be a resource for researchers to find the correct invasion assays that suit their own unique needs and biological questions. Abstract The major cause of cancer-related deaths can be attributed to the metastatic spread of tumor cells—a dynamic and complex multi-step process beginning with tumor cells acquiring an invasive phenotype to allow them to travel through the blood and lymphatic vessels to ultimately seed at a secondary site. Over the years, various in vitro models have been used to characterize specific steps in the cascade to collectively begin providing a clearer picture of the puzzle of metastasis. With the discovery of the TME’s supporting role in activating tumor cell invasion and metastasis, these models have evolved in parallel to accommodate features of the TME and to observe its interactions with tumor cells. In particular, CAFs that reside in reactive tumor stroma have been shown to play a substantial pro-invasive role through their matrix-modifying functions; accordingly, this warranted further investigation with the development and use of invasion assays that could include these stromal cells. This review explores the growing toolbox of assays used to study tumor cell invasion, from the simple beginnings of a tumor cell and extracellular matrix set-up to the advent of models that aim to more closely recapitulate the interplay between tumor cells, CAFs and the extracellular matrix. These models will prove to be invaluable tools to help tease out the intricacies of tumor cell invasion.
Effect of Aphidicolin, a Reversible Inhibitor of Eukaryotic Nuclear DNA Replication, on the Production of Genetically Modified Porcine Embryos by CRISPR/Cas9

Mosaicism is the most important limitation for one-step gene editing in embryos by CRISPR/Cas9 because cuts and repairs sometimes take place after the first DNA replication of the zygote. To try to minimize the risk of mosaicism, in this study a reversible DNA replication inhibitor was used after the release of CRISPR/Cas9 in the cell. There is no previous information on the use of aphidicolin in porcine embryos, so the reversible inhibition of DNA replication and the effect on embryo development of different concentrations of this drug was first evaluated. The effect of incubation with aphidicolin was tested with CRISPR/Cas9 at different concentrations and different delivery methodologies. As a result, the reversible inhibition of DNA replication was observed, and it was concentration dependent. An optimal concentration of 0.5 μM was established and used for subsequent experiments. Following the use of this drug with CRISPR/Cas9, a halving of mosaicism was observed together with a detrimental effect on embryo development. In conclusion, the use of reversible inhibition of DNA replication offers a way to reduce mosaicism. Nevertheless, due to the reduction in embryo development, it would be necessary to reach a balance for its use to be feasible.
Allocation Considering Agent Importance in Constrained Robust Multi-Team Formation

Forming a team to accomplish a given mission is a significant challenge in multi-agent systems. The missionoriented team formation problem is selecting agents with a set of skills to accomplish a mission. Each mission can be accomplished by assigning a team with the necessary skills. Furthermore, the team needs to accomplish the mission, even if an agent fails in an environment where agents are lost between missions. In addition, other aspects besides the ability to accomplish the mission are considered in team formation. In this paper, we focus on the mission-oriented constrained robust multi-team formation problem. We define a framework, decision, and several optimization problems. Then, we propose an algorithm for the optimization problem with fixed robustness. In our experiments, we confirmed the search efficiency by changing the order in which agents are searched. The results show that a short runtime is obtained in searching for agents with high importance when the ratio of solutions to the search space is large. Furthermore, the runtime is minimized in searching for easily pruned agents when the ratio of solutions to the search space is small.