Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of Ce, Ca, Fe, and Mn-Doped LaCoO3 Perovskite Oxide for the Four-Way Purification of PM, NOx, CO, and HC from Diesel Engine Exhaust

Perovskite-type catalysts were widely used in the field of automobile exhaust purification due to their inherent physicochemical properties and excellent doping characteristics. A series of La1−xMxCo1−yNyO3 (M = Ce, Ca; N = Fe, Mn) perovskite-type catalyst samples were prepared by sol-gel method for the four-way purification of PM, NOx, CO, and HC emitted by diesel exhaust. The activity of catalyst samples was tested by simulation experiments and hydrogen temperature-programmed reduction (H2-TPR). Catalyst samples were characterized by means of XRD, FT-IR, SEM, BET, and XPS analysis. The results demonstrated that the perovskite-type catalyst samples with a particle pore size of 3–5 μm can be prepared by sol-gel method. When A-site of LaCoO3 perovskite-type oxide was doped by cerium ions, the catalyst samples produced small distortion. The doping of cerium ions to A-site was more conducive to the four-way purification of diesel exhaust than calcium ions. La0.8Ce0. 2CoO3 perovskite-type samples showed the best purification efficiency, and the purification efficiencies of PM, NOx, CO, and HC were 90%, 85%, 94%, and 100%, respectively. When the B-site of La0.8Ce0. 2CoO3 perovskite was doped with iron ions, the purification efficiency of catalyst samples for PM and NOx can be further enhanced. When the B-site of La0.8Ce0. 2CoO3 perovskite was doped with manganese ions, the purification efficiency of the catalyst samples for PM can be further enhanced. It can be seen from the simulation experiments that La0.8Ce0. 2Co0.7Fe0. 3O3 perovskite was the best doping amount, and the purification efficiencies of PM, NOx, CO, and HC were 95%, 92%, 94%, and 100%, respectively.
Modeling Individual Preferences for Ownership and Sharing of Autonomous Vehicle Technologies

Considerable interest exists in modeling and forecasting the effects of autonomous vehicles on travel behavior and transportation network performance. In an autonomous vehicle (AV) future, individuals may privately own such vehicles, use mobility-on-demand services provided by transportation network companies that operate shared AV fleets, or adopt a combination of those two options. This paper presents a comprehensive model system of AV adoption and use. A generalized, heterogeneous data model system was estimated with data collected as part of the Puget Sound, Washington, Regional Travel Study. The results showed that lifestyle factors play an important role in shaping AV usage. Younger, urban residents who are more educated and technologically savvy are more likely to be early adopters of AV technologies than are older, suburban and rural individuals, a fact that favors a sharing-based service model over private ownership. Models such as the one presented in this paper can be used to predict the adoption of AV technologies, and such predictions will, in turn, help forecast the effects of AVs under alternative future scenarios.
Grain drying systems

The invention discloses a grain drying system which comprises a grain storing chamber, a grain conveying mechanism and a grain storing mechanism. The grain storing chamber conveys grain into the grain storing mechanism through the grain conveying mechanism. The grain conveying mechanism comprises a plurality of lifting machines for conveying the grain from a lower position to a higher position. The grain storing mechanism sequentially comprises a wet grain barn, a drying tower and a dry grain barn. The drying tower is connected with a hot air stove through a hot air pipe to convey hot air for the drying tower. The grain drying system dries the grain and achieves the purposes of long storing time, low cost and even drying.
Design and testing of a prototype foam for lightweight technological applications

Over recent years, in the automotive field, numerous performance and aesthetic innovations have been produced thanks to the development process of the manufacturing technologies gained mainly in the aerospace industrial context. The automotive industry is currently experiencing relevant technology changes in the design of the engines, transmission and total drivetrain, induced by increasing customer demand for fuel efficiency and more stringent government requirements in emissions and safety. One of the problems relating to environmental impact concerns the noise emitted by the vehicle, for which various solutions have been experimented: new and more resistant materials have been worked out in order to minimize noise pollution and the environmental impact of the vehicle, even at the end of the operating life of its components. Several research programs are currently running or recently terminated worldwide to explore the feasibility of smart materials. The increasingly dominant role of lightweight materials in many technological sectors is motivated by the multitude of benefits that they could offer like the weight optimization and the reduction of the fuel burn and noise levels. This research illustrates a solution as a response to those requirements, as well as being a response to the targets of comfort: a viscoelastic material, appointed to increase the damping of structures involved in vibro-acoustic phenomena generated in a vehicle. The performance of these innovative materials have been analyzed both from a numerical standpoint that experimental. Static mechanical properties and modal parameters carried out in the laboratory, pertinent to each configuration were arranged into a rational database for further studies on the vibro-acoustic behaviour of the coupled cavity-structure system. The main goal of this research project has been reached in the design, manufacturing and testing of an innovative viscoelastic prototype got out by the best compromise of structural and acoustic characteristics of pre-existing trim materials. Keywords— Automotive, Damping, Finite Element Model, Non-contact Measurement, Noise Vibration Harshness, Viscoelasticity.
The Impact of a Performance Appraisal and Reward System on Employee Workload Delivery

Performance appraisal and reward programmes are critical organisational strategies for improving employee performance. The goal is to ensure that employee productivity is sufficient to meet the company's overall objectives. The performance assessment examines and evaluates an employee's job performance on a regular basis, while the reward system motivates the individual to carry out his or her tasks. The study looks at how successful performance appraisal and incentive systems are at improving employee performance using both primary and secondary data. Enugu State Civil Service Commission, Enugu State Office of the Head of Service, Enugu State Ministry of Finance and Economic Development, and Enugu State Ministry of Labour and Productivity all contributed 100 participants to this study. A structured questionnaire was distributed to employees of the Enugu State Civil Service Commission, the Enugu State Office of the Head of Service, the Enugu State Ministry of Finance and Economic Development, and the Enugu State Ministry of Labour and Productivity. The data were analysed using SPSS software (Statistical Package for the Social Sciences). The findings show that employee workload delivery is influenced by performance evaluation and compensation (i.e. in the area of timely execution of the task, creating consciousness among employees that they are been watched, paying attention to details)
An Assessment of Orientation on Effective Natural Ventilation for Thermal Comfort in Primary School Classrooms in Enugu City, Nigeria

The current harsh climatic and high thermal conditions observed across the globe due to climate change is a challenge for indoor thermal comfort in buildings. In most developing nation, educational buildings where formal teaching and learning is conducted are designed to function without mechanical ventilation in an attempt to save energy costs hence relying solely on Natural ventilation. However, the effects of orientation on effective natural ventilation in educational buildings in the hot-humid tropical environments have not been adequately explored. The aim of this study was to investigate the effect of orientation of the classroom buildings with respect to cardinal and wind directions on effective natural ventilation desired for thermal comfort in buildings of public primary schools in the city of Enugu, Nigeria. It adopted a combination of experimental and descriptive survey research design. Instruments for data collection were two thermo-anemometer data logging device (AZ 9871) for determining both indoor and outdoor temperatures, wind velocities and relative humidity of classrooms of selected 60 public primary school building in the metropolis based on stratified sampling technique. Data analysis was done using linear regression analysis, the global coefficient of ventilation and building orientation standards. The research results showed that there was a correlation between classroom building orientations and effective natural ventilation coefficient and that the mean natural ventilation efficiency of 80% above the 60% global ventilation efficiency standard was achieved. In addition, orientation of classroom buildings in terms of inlet window planes to the dominant wind direction had positive significant effect on natural ventilation efficiency, invariably influencing the thermal comfort conditions of the investigated classrooms. The research concludes that adequate attention should be given to the orientation in classroom buildings especially in the hot humid tropical environments by architects and building designers to ensure thermal comfort is achieved for effective teaching and learning. Keywords: Building orientation, Natural ventilation, Tropical environment, Classroom buildings, Thermal comfort
Digital workflow effectiveness: preliminary results

Objective: The aim of this observational study was to evaluate the effectiveness of the complete digital workflow in the manufacture of implant-supported screw-retained prostheses regarding to their passive fitting. Materials and Methods: This study presents a preliminary result, part of the project approved by the Ethics Committee of Centro Universitário José Campos Andrade (UNIANDRADE) under number 3,367,320. The sample consisted of 9 patients who had partially edentulous areas with 2 to 3 healed implants, selected at clinic of Faculdade Ilapeo according to the inclusion criteria. All were rehabilitated with metal ceramics multiple implant-supported screw-retained partial dentures. The abutments were selected according to the characteristics of the peri-implant tissues. The frameworks were milled in cobalt-chrome and veneered. The passive fitting of infrastructure was used as a criterion for evaluating the effectiveness of the complete digital workflow through the Sheffield Test criteria. Printed models were used to apply the veneering ceramics. Results: This preliminary result presents 14 implant-supported screw-type fixed prostheses, installed in nine patients. All infrastructures showed a positive result according to the evaluation criteria. Conclusions: Based on the preliminary results presented, it seems fair to conclude that the complete digital workflow shows the necessary effectiveness for obtaining metal ceramic multiple implant-supported screw-retained partial dentures, as a prevalence of prostheses that presented passive sfitting was observed.
PENGARUH KOMUNIKASI ORGANISASI DAN LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN TETAP PADA PT. MAH SING INDONESIA

In achieving its objectives, PT. Mah Sing Indonesia should consider factors that can affect the performance of the employee. Among them are communication and work environment. Conditions of work environment and communication greatly affect the performance of an employee. The research is aimed to know: 1) the effect of organization communication influences on permanent employee's performance, 2) the effect of working environment influences on permanent employee's performance, and 3) together with organization communication and work environment influence on permanent employee's performance. The population in this study was the total number of permanent employee of PT. Mah Sing Indonesia. Of this population will be drawn sample used in this study as respondents. Sampling technique in this study using convenience purposive sampling. By using Slovin formula it can be seen the number of sample. The method of analysis used by the authors is the Multiple Linear Regression Analysis, the t-test, and F-test. Keywords: Communication, Work Environment and Employee Performance
First-Principles Study of Silicon–Tin Alloys as a High-Temperature Thermoelectric Material

Silicon–germanium (SiGe) alloys have sparked a great deal of attention due to their exceptional high-temperature thermoelectric properties. Significant effort has been expended in the quest for high-temperature thermoelectric materials. Combining density functional theory and electron–phonon coupling theory, it was discovered that silicon–tin (SiSn) alloys have remarkable high-temperature thermoelectric performance. SiSn alloys have a figure of merit above 2.0 at 800 K, resulting from their high conduction band convergence and low lattice thermal conductivity. Further evaluations reveal that Si0.75Sn0. 25 is the best choice for developing the optimum ratio as a thermoelectric material. These findings will provide a basis for further studies on SiSn alloys as a potential new class of high-performance thermoelectric materials.
Becoming a Man: A Longitudinal Study of Men's Gender Identity Development

Abstract:This longitudinal study builds on an earlier study of college men's gender identity development (Edwards & Jones, 2009). The findings from the 5- and 10-year follow-up interviews affirm the grounded theory of the original study. The longitudinal aspects of the study also illuminate how men navigated their gender performance and the different gender expectations of them later in life. The participants also described a process of becoming that included both identity exploration and integrity reflection. The findings have implications for student affairs practice, men's development, and identity development research.
Bestiality Law in the United States: Evolving Legislation with Scientific Limitations

Simple Summary Laws punishing individuals who have sex with nonhuman animals have existed since the earliest written legal codes. In the United States, bestiality has long been prohibited. The rationale for criminalizing sex acts with animals has changed over time and has included moral condemnation, considerations of animal rights and animal welfare, and most recently, a concern about the relationship between animal cruelty and interpersonal violence, colloquially known as the Link. This article reviews the history and current state of bestiality law in the United States. It notes important differences in language, specificity, and potential punishments for offenders depending on the jurisdiction. It also reviews the research basis of the Link between bestiality and interpersonal violence and some risks associated with a reliance on the Link to promote legislative reform. Abstract Societies have proscribed bestiality, or sex between humans and nonhuman animals, since the earliest recorded legal codes. In the early American colonies, religious prohibitions against bestiality provided the grounds for punishing those who engaged in such acts. In the 1800′s, Henry Bergh imported the animal welfare approach to the United States, which modernized the legislative treatment of animals in the country. Until recently, however, many laws in the U.S. have been outdated and vague and have utilized moralistic terminology. Since the 1960′s, a growing body of literature has developed suggesting that individuals who harm animals may also interpersonally offend. This concept, known as the Link, has served as a major motivation for advocates to promote new legislation criminalizing bestiality, to modernize old state statutes, and to expand penalties for individuals convicted of having sex with animals. Unfortunately, data supporting the Link between bestiality and interpersonal violence are limited and of questionable generalizability to the broad public. The Link’s weaknesses can assist in guiding further research. This article summarizes the history of bestiality law, the current state of bestiality legislation in the United States, the body of Link-related literature on bestiality and interpersonal violence and other problematic sexual behaviors, and the empirical weaknesses and needs revealed by this legislation.
No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification

Background: The authors previously developed deep-learning models for the prediction of colorectal polyp histology (advanced colorectal cancer, early cancer/high-grade dysplasia, tubular adenoma with or without low-grade dysplasia, or non-neoplasm) from endoscopic images. While the model achieved 67.3% internal-test accuracy and 79.2% external-test accuracy, model development was labour-intensive and required specialised programming expertise. Moreover, the 240-image external-test dataset included only three advanced and eight early cancers, so it was difficult to generalise model performance. These limitations may be mitigated by deep-learning models developed using no-code platforms. Objective: To establish no-code platform-based deep-learning models for the prediction of colorectal polyp histology from white-light endoscopy images and compare their diagnostic performance with traditional models. Methods: The same 3828 endoscopic images used to establish previous models were used to establish new models based on no-code platforms Neuro-T, VLAD, and Create ML-Image Classifier. A prospective multicentre validation study was then conducted using 3818 novel images. The primary outcome was the accuracy of four-category prediction. Results: The model established using Neuro-T achieved the highest internal-test accuracy (75.3%, 95% confidence interval: 71.0–79.6%) and external-test accuracy (80.2%, 76.9–83.5%) but required the longest training time. In contrast, the model established using Create ML-Image Classifier required only 3 min for training and still achieved 72.7% (70.8–74.6%) external-test accuracy. Attention map analysis revealed that the imaging features used by the no-code deep-learning models were similar to those used by endoscopists during visual inspection. Conclusion: No-code deep-learning tools allow for the rapid development of models with high accuracy for predicting colorectal polyp histology.
Bulge-Forming miRNases Cleave Oncogenic miRNAs at the Central Loop Region in a Sequence-Specific Manner

The selective degradation of disease-associated microRNA is promising for the development of new therapeutic approaches. In this study, we engineered a series of bulge-loop-forming oligonucleotides conjugated with catalytic peptide [(LeuArg)2Gly]2 (BC–miRNases) capable of recognizing and destroying oncogenic miR-17 and miR-21. The principle behind the design of BC–miRNase is the cleavage of miRNA at a three-nucleotide bulge loop that forms in the central loop region, which is essential for the biological competence of miRNA. A thorough study of mono- and bis-BC–miRNases (containing one or two catalytic peptides, respectively) revealed that: (i) the sequence of miRNA bulge loops and neighbouring motifs are of fundamental importance for efficient miRNA cleavage (i.e., motifs containing repeating pyrimidine–A bonds are more susceptible to cleavage); (ii) the incorporation of the second catalytic peptide in the same molecular scaffold increases the potency of BC–miRNase, providing a complete degradation of miR-17 within 72 h; (iii) the synergetic co-operation of BC–miRNases with RNase H accelerates the rate of miRNA catalytic cleavage by both the conjugate and the enzyme. Such synergy allows the rapid destruction of constantly emerging miRNA to maintain sufficient knockdown and achieve a desired therapeutic effect.
Development of a knowledge-based system for nonpowered hand tools (Tool Expert): Part I—The scientific basis

The need for developing a clear and concise guide for designing, selecting, and using hand tools would minimize if not eliminate acute–chronic trauma exposure factors and help improve efficiency, well-being, and morale. Despite several research efforts devoted to the exploration and understanding of the interrelation between human capabilities, task requirements, nature of tasks, and ergonomically designed hand tools, there appear to be several problems in utilizing existing knowledge in practical use. One of the most important barriers is the lack of interaction of several specialists from different backgrounds. In this article, TOOL-EXPERT, a knowledge-based system developed to assert the ergonomical nonpowered hand tool design, selection, and use, is explained, which will provide a guideline to several users from various backgrounds. The system is designed to run in any IBM-compatible personal computer system. Knowledge from several domains was included. The type of knowledge used in the research was selected to be a declarative knowledge. Altogether it includes 423 goals, 35 questions, and 40 rules. © 2004 Wiley Periodicals, Inc. Hum Factors Man 14: 257–268, 2004.
The Moderated Mediating Effect of Hope, Self-Efficacy and Resilience in the Relationship between Post-Traumatic Growth and Mental Health during the COVID-19 Pandemic

As a major life trauma, COVID-19 had negative impacts on psychological well-being. The aim of this study was to test and verify the mediation of resilience, hope and self-efficacy and to analyze the moderating effect of gender and COVID-19 contagion on the association between symptoms of anxiety, stress and depression, and post-traumatic growth among adults during COVID-19. A cross-sectional study was conducted via an online survey with self-administered questionnaires. The Depression, Anxiety, and Stress Scale, the Post-traumatic Growth Inventory, the Resilience Scale, the General Self-Efficacy Scale, and the Comprehensive State Hope Scale were used. A total of 493 (n = 262 female and n = 231 male) participated in the survey (Mage = 33.40 years, SD = 13.41, range = 20 to 60). A multiple mediation model was used to verify the mediating effect of resilience, hope and self-efficacy on the relationship between symptoms of anxiety, stress and depression, and PTG. A moderated mediation model was examined to find and test the moderated effects of gender and COVID-19 contagion on the mediation model. Results showed the indirect effects of anxiety (β = 0.340 (0.120); 95% CI [from 0.128 to 0.587]) and depression (β = 0.222 (0.095); 95% CI [0.048, 0.429]) on PTG trough resilience and hope. Symptoms of anxiety, stress and depression, and self-efficacy were significantly highest in females. Moreover, males and participants with COVID-19 contagion had significantly higher levels of resilience and post-traumatic growth. These findings suggest that hope and resilience, as protective factors, could be an important key to developing an intervention strategy to enhance and improve psychological health during a crisis.
Socializing a Capitalistic World: Redefining the Bottom Line

As the trend toward global integration intensifies, the awareness increases that no single ideology has proven flawless. Although still very much in evaluative stage, and unfortunately not yet accepted to the same degree by all participants in the global playing field, there is significant progress to be ascertained in determining what the new, workable trend will be. Interestingly, this development synchronously happens at multiple levels: within the global environment, and within the corporate world, for there, too, it has been ts lasting success. An integrative, local approach from all angles seems to be the way to go in the future. This paper reviews some of the current trends and criticisms, and presents a model for the new bottom line in the new world.