Characteristics associated with university teacher education program applicants, graduates, and practicing teachers

Due to the problems of teacher surpluses and teacher shortages in the last decade, a study of the characteristics associated with university teacher education program applicants, graduates, and practicing teachers was essential. Data for this study were gathered from three projects conducted by the Research Institute for Studies in Education at Iowa State University during 1981-1982. There were three groups of participants: (1) the potential ISU Teacher Education Program applicants (N = 563), (2) the ISU Teacher Education Program graduates (N = 443), and (3) the Iowa public school teachers (N = 597);ANOVA, Tukey B Test, and the Chi-Square Test were applied to examine the characteristic differences among participants who decided to continue in teaching, who were undecided, and who decided to pursue other careers. Path analysis was applied to examine the hypothetical causal model which related the characteristics of potential teachers to their decisions about teaching;Compared to undeciders and non-future-teachers, applicants who decided to continue in teaching were people oriented, from small high schools, enrolled in the College of Education, and had higher academic achievement and aptitude scores. Graduates intending to stay in teaching were females and more people oriented. They had higher GPAs and valued occupations with the opportunity for creativity and originality more than did the graduates not intending to teach. Generally, teachers who intended to continue in teaching were females, in preschool or elementary school, and were living on a farm or in a small town. They preferred psychic rewards to material rewards, had more years of teaching experience, and had decided to become a teacher when they were young. Regarding the causal models, background characteristics, except gender, had more influence on applicants\u27 decisions, while gender and occupational values had more influence on graduates\u27 decisions about teaching

A High-Accuracy and Power-Efficient Self-Optimizing Wireless Water Level Monitoring IoT Device for Smart City

In this paper; a novel self-optimizing water level monitoring methodology is proposed for smart city applications. Considering system maintenance; the efficiency of power consumption and accuracy will be important for Internet of Things (IoT) devices and systems. A multi-step measurement mechanism and power self-charging process are proposed in this study for improving the efficiency of a device for water level monitoring applications. The proposed methodology improved accuracy by 0.16–0.39% by moving the sensor to estimate the distance relative to different locations. Additional power is generated by executing a multi-step measurement while the power self-optimizing process used dynamically adjusts the settings to balance the current of charging and discharging. The battery level can efficiently go over 50% in a stable charging simulation. These methodologies were successfully implemented using an embedded control device; an ultrasonic sensor module; a LORA transmission module; and a stepper motor. According to the experimental results; the proposed multi-step methodology has the benefits of high accuracy and efficient power consumption for water level monitoring applications

Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation

In this paper, we address the hallucination problem commonly found in natural language generation tasks. Language models often generate fluent and convincing content but can lack consistency with the provided source, resulting in potential inaccuracies. We propose a new decoding method called Fidelity-Enriched Contrastive Search (FECS), which augments the contrastive search framework with context-aware regularization terms. FECS promotes tokens that are semantically similar to the provided source while penalizing repetitiveness in the generated text. We demonstrate its effectiveness across two tasks prone to hallucination: abstractive summarization and dialogue generation. Results show that FECS consistently enhances faithfulness across various language model sizes while maintaining output diversity comparable to well-performing decoding algorithms.Comment: Accepted as a short paper at EMNLP 202

Continuous purification of monoclonal antibody using periodic counter-current chromatography

Integrated and continuous processing of antibody drugs offers several advantages over traditional batch processing in the biotechnology industry. The flexibility of periodic counter-current (PCC) design is performed in the selection of residence time and column numbers on the capture process. In this study, we investigated the association of residence time and product recovery in the downstream PCC purification. A practical operation of PCC as a continuous capture purification step has been applied to 5L perfusion culture, 5L concentrated fed-batch culture, and 50L fed-bath culture. Using an empirical model for the protein breakthrough curve, residence time (RT) was evaluated and the loading flow rate was adjusted to achieve a target RT of 2.25 minutes for monoclonal antibody (mAb). The sample load volume for each column switching was set on 50 and 58% breakthrough curves, mAb recovery was 88 .4% and 88.9%, and buffer consumption was decreased to under half that of the batch process. Overall, more than 40 grams of purified antibody is obtained in 24 hours using a PCC purification system. Comparison of qualities of mAb analyzed by UPLC and reverse phase chromatography show that glycan profiles and purity are quite similar between antibodies obtained from PCC and batch purification, whereas the acidic variants of mAb purified by PCC is higher than that purified by batch mode. The advantages of a continuous downstream capture step are highlighted for our case study in comparison with the existing batch chromatography processes

Refrigerant- Lubricant Mixture Properties Influencing Bubble Dynamic Parameters and Heat Transfer Coefficient in Nucleate Pool Boiling

We have been successfully developed a model regarding lubricant effect on individual processes of bubble nucleation, growth and departure period for nucleate pool boiling heat transfer. In this study, three type POE refrigeration lubricants with different refrigerant miscibility (POEA/POEB/POEC), two viscosity grades (ISO68 & 170), three kind of refrigerants (R-134a/R-1234ze/R-134yf), and three different saturated temperatures (10℃/0℃/10℃) are taken into calculation under different heat flux ranging from 10 KW/m2 to 80 KW/m2. Based on this model, a knowledge of chemical structures and physical properties of lubricant and refrigerant is sufficient to get bubble dynamic parameters and predict the boiling performance near metal surface. According to calculating results, several key factors play an important role in pool boiling heat transfer and show drastic influence on bubble parameters and HTC, such as refrigerant type, saturated temperature, heat flux and lubricant concentration. Regarding lubricant chemical structure effect on heat transfer performance, it will be direct related to OCR and following influence on HTC in real evaporator environment. But if keeping same lubricant concentration, different results will appear. Various lubricant structures may provide different volume size, adsorption energy on metal surface and interaction force between refrigerant and lubricant, but these factors sometimes offset each other and lead to only a slight difference in bubble size, contact angle, surface coverage concentration, and HTC. The calculation indicates that the presence of lubricant imposes a negative effect on HTC during waiting period of bubble formation and departure period, but a positive effect on HTC may prevail in bubble growth period. Such two effects compete during the boiling process and could lead increase or impair heat transfer performance at a low lubricant concentration

THE CHANGE OF KNEE KINEMATICS AFTER ANTERIOR CRUCIATE LIGAMENT DEFICIENCY AND RECONSTRUCTION DURING LANDING

The purpose of this study were to evaluate the different of knee kinematics analysis after ACLD and ACLR during landing performances. The participants were instructed to finish counter moment jump (CMJ) with arms free 5 times as hard as possible with Vicon motion system and two force platforms. The ACLD showed a significant less knee flexion degree at the peak vertical GRF compared with others. Our founding was similar to the present studies; the impulse during landing among three groups was almost the same, but the RF EMG showed lower after two ACL groups, especially in ACLD

Bioprocess intelligent for the improvements and prediction on fed-batch cell culture in bioreactor

With advances in biotechnology, the antibody productivity is not the only issue in biopharmaceutical manufacturing; moreover, how to control the quality and quantity of antibody production in bioprocess has become prominent. In typical fed-batch cell culture, it is not easy to control the dynamic cultivation and feeding conditions. The study is to present an intelligent bioprocess make use of design of experiments (DOE) and multivariate data analysis (MVDA). In the culture medium optimization, we performed the medium screening with the DOE method in shake spin tubes and shake flasks. DOE provides a cost-effective methodology for medium development and optimization, and furthermore we utilized multivariate data analysis methodology to build up the fed-batch intelligence bioprocess in 5 L bioreactor. We analyzed mass data transferred from 5 L bioreactor process and established the fed-batch culture model with SIMCA software. Combination of the batch process and big data sets, we can be easy to do batch-to-batch comparison, cell culture profile prediction, and key parameter finding to improve the process performance with more steady product quality and less error. In this fed-batch culture model, we achieved more than 5 g/L cell productivity consistently and predictably in 5 L bioreactor cultivation with CRISPR-mediated targeted gene site-specific integration CHO cell line

City-level comparison of urban land-cover configurations from 2000-2015 across 65 countries within the global Belt and Road

The configuration of urban land-covers is essential for improving dwellers' environments and ecosystem services. A city-level comparison of land-cover changes along the Belt and Road is still unavailable due to the lack of intra-urban land products. A synergistic classification methodology of sub-pixel un-mixing, multiple indices, decision tree classifier, unsupervised (SMDU) classification was established in the study to examine urban land covers across 65 capital cities along the Belt and Road during 2000-2015. The overall accuracies of the 15 m resolution urban products (i.e., the impervious surface area, vegetation, bare soil, and water bodies) derived from Landsat Enhanced Thematic Mapper Plus (ETM+)/Operational Land Imager (OLI) images were 92.88% and 93.19%, with kappa coefficients of 0.84 and 0.85 in 2000 and 2015, respectively. The built-up areas of 65 capital cities increased from 23,696.25 km(2) to 29,257.51 km(2), with an average growth rate of 370.75 km(2)/y during 2000-2015. Moreover, urban impervious surface area (ISA) expanded with an average rate of 401.92 km(2)/y, while the total area of urban green space (UGS) decreased with an average rate of 17.59 km(2)/y. In different regions, UGS changes declined by 7.37% in humid cities but increased by 14.61% in arid cities. According to the landscape ecology indicators, urban land-cover configurations became more integrated (oShannon's Diversity Index (SHDI) = -0.063; oPatch Density (PD) = 0.054) and presented better connectivity (oConnectance Index (CON) = +0.594). The proposed method in this study improved the separation between ISA and bare soil in mixed pixels, and the 15 m intra-urban land-cover product provided essential details of complex urban landscapes and urban ecological needs compared with contemporary global products. These findings provide valuable information for urban planners dealing with human comfort and ecosystem service needs in urban areas

High-yield antibody production using targeted integration and engineering CHO host

To identify the high expression sites in the CHO cells, we employed NGS to analyze the integration sites of a high producing cell line (titer \u3e 3g/L). The pair-end reads with one read mapped to the vector and the other read mapped to the CHO reference genome are extracted to identify the integration sites. To test the expression activity of the integration sites, we employed CRISPR/Cas9 to specifically integrate the antibody gene into CHO genome for expression. Our data showed 4 integration sites are in the high producing cell line. Among the 4 integration site, one integration site was tested by CRISPR/Cas9 for target integration of antibody gene for expression. The target integrated cell pool present higher expression level (130 mg/L/copy) and less copy number when compared other integration sites. Through single-copy integration method, we can also achieve 60-150 mg/L/copy in a batch culture. About 80% of the single-copy cell clones were stable at generation 60. We have also applied the CHO-specific microarray transcriptomics technology to identify genes that contribute to high productivity. Transfection of our proprietary dual promoter vector J 1.0 resulting in 1.65 to 2.4 fold increase in the expression in engineered CHO DXB11 host. Through fed-batch process development, 3 – 5 g/L mAb productivity can be achieved through targeted integration and engineered CHO host