Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Performance Atomic-Layer-Deposited Indium Oxide 3-D Transistors and Integrated Circuits for Monolithic 3-D Integration

In this work, we report the experimental demonstration of In<sub>2</sub>O<sub>3</sub> 3-D transistors coated on fin structures and integrated circuits by a back-end-of-line (BEOL) compatible atomic layer deposition (ALD) process. High-performance planar back-gate In<sub>2</sub>O<sub>3</sub> transistors with high mobility of 113 cm<sup>2</sup>/<inline-formula> <tex-math notation="LaTeX">$\text{V}\cdot \text{s}$ </tex-math></inline-formula> and high maximum drain current (<inline-formula> <tex-math notation="LaTeX">${I}_{\rm D}$ </tex-math></inline-formula>) of 2.5 mA/<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> are achieved by channel thickness engineering and postdeposition annealing. The high-performance ALD In<sub>2</sub>O<sub>3</sub>-based zero-<inline-formula> <tex-math notation="LaTeX">${V}_{\rm GS}$ </tex-math></inline-formula>-load inverter is demonstrated with a maximum voltage gain of 38 V/V and a minimum supply voltage (<inline-formula> <tex-math notation="LaTeX">${V}_{\rm DD}$ </tex-math></inline-formula>) down to 0.5 V. Top-gate indium oxide (In<sub>2</sub>O<sub>3</sub>) transistors by low-temperature ALD of both gate insulator and channel semiconductor are also demonstrated with <inline-formula> <tex-math notation="LaTeX">${I}_{\rm D}$ </tex-math></inline-formula> of <inline-formula> <tex-math notation="LaTeX">$570~\mu \text{A}/\mu \text{m}$ </tex-math></inline-formula> and low subthreshold slope (SS) down to 84.6 mV/decade. ALD In<sub>2</sub>O<sub>3</sub> 3-D Fin transistors with the top-gate structure are then demonstrated, benefiting from the conformal deposition capability of ALD. These results suggest that ALD oxide semiconductors and devices have unique advantages and are promising toward BEOL-compatible monolithic 3-D integration for 3-D integrated circuits.
Transcriptome analysis revealed the effect of selenium yeast on improving eggshell quality in aged laying hens

Background Egg internal and eggshell quality were deteriorated in aging laying hens. Improving egg and shell quality can prolong the laying cycle. Although, selenium yeast (SY) has been found with the potential to enhance the laying performance and egg quality, the underlying mechanisms have not been investigated. Therefore, we investigated the effect and molecule mechanism of selenium yeast on egg and shell quality in aged laying hens. Methods Three hundred 76-week-old Jing Hong laying hens were divided into four equal treatments and fed with Se-deficient diet (SD), 0.15, 0.30, 0.45 mg/kg selenium yeast diet (SY0.15, SY0.30 and SY0.45). At the end of the trial, we evaluated the plasma and tissue selenium content, plasma antioxidant capacity and egg quality. Transcriptomic analysis was performed to investigate the boosting effect of selenium yeast on eggshell quality. The weighted gene co-expression network analysis (WGCNA) analysis was performed to screen out the key candidate genes related with eggshell quality affected by selenium yeast. Results Dietary selenium yeast supplementation enhanced the eggshell strength (SY0.45) (P < 0.01) and reduced the shell translucence (SY0.15, SY0.30 and SY0.45) to ameliorate the eggshell quality. Moreover, body Se status and plasma antioxidant capacity were significantly enhanced by selenium yeast supplementation (P < 0.05), and showed a dose-dependent effect. Transcriptomic and WGCNA analysis identified some key candidate genes involved in eggshell quality including cell migration inducing hyaluronidase 1 (CEMIP), ovalbumin (OVAL), solute carrier family 6 member 17 (SLC6A17), solute carrier family 13 member 5 (SLC13A5), proopiomelanocortin (POMC) and proenkephalin (PENK). Functional enrichment analysis revealed that selenium may alter the biological process including eggshell mineralization, ion transport and laying period to affect eggshell formation. Conclusion Selenium yeast enhanced eggshell strength and reduced the shell translucence by improving antioxidant capacity, selenium status, and regulating the processes of shell mineralization, ion transport and laying period. These findings provide a novel molecule biomarker for affecting eggshell quality regulated by selenium.
The Language of Immigration Coverage: The Arizona Republic and Media’s Role in the Production of Social Illegality

Recently, several mainstream media organizations have moved away from using “illegal immigrant” in their immigration coverage. While this shift in immigration coverage is positive, seemingly positive language may still be exclusionary, particularly if the content of stories remains the same. We investigate whether newspaper articles that describe immigrants as “illegal” are more negative in content than articles that present immigrants as “undocumented” by analyzing 1,616 newspaper articles and letters to the editor in The Arizona Republic between 2000 and 2016, a critical period of immigration legislative activity in Arizona. We find that The Arizona Republic inundated readers with negative news coverage and that this coverage is baked into the content of stories and transcends the use of either term, “illegal” or “undocumented. ” We then draw on letters to the editor and original interview data to consider how social forces outside of the media may influence coverage.
Identification and Indicators of ERP Implementation Success Factor – a Literature Review

Enterprise Resources Planning has become one of the business and management applications that are believed to be able to improve the performance of companies and or organizations to be more efficient and effective. However, based on much research, the success rate of ERP implementation is questionable. Although the success of ERP implementation is often published in research, the failure rate of ERP system implementation is relatively high. Therefore, this study is to find out the problems and challenges faced by organizations in implementing ERP, by reviewing the existing literature on research on factors that influence the success of ERP implementation. The approach taken is to review several related research articles published in the 2015-2020 period from several publishers, namely Emerald Online, Science Direct, IEEE, and SAGE. The sample size for the last 5 years is expected to show the up-datedness of the data taken from the research article. New ideas that will emerge from this discussion are the main factors causing the success of ERP implementation for organization, so that they can be used to reduce the failure rate of ERP implementation in the future by proposing an ERP implementation model.
Computer Aided Detection System using Entropy Based Segmentation as Decision Support for Detection of Neoplasms and Comparison of Feature Spaces for Classification

Objective: To design a computer aided detection system for the early detection of the breast cancer from the mammograms as it can assist the doctors in the diagnosis. Methodology: The proposed method used in the design of Computer-Aided Detection (CAD) is based the on using the textural differences of the abnormal and normal mammograms to detect the breast cancer. The Gabor Features and gray-level co-occurrence matrix (GLCM) features are extracted from the region of interest of the segmented mammograms using the Entropy based segmentation. The Support Vector Machine (SVM) classifier is used for classifying the mammograms into the cancerous and non-cancerous cases. The 35 number of normal and abnormal mammograms are taken from the Mammographic Image Analysis Society (MIAS) data set. The MIAS database is chosen as it carries more challenging data because it carries lot of unwanted tissues and flesh part included in it which has the intensity level more than the micro-calcifications. Findings: The classification accuracies obtained are 92.98% and 98.11% using Gabor and gray-level co-occurrence matrix features respectively. The sensitivity achieved with the gray-level co-occurrence matrix features is 100% which shows no missed cancerous case. The classification accuracy is higher using gray-level co-occurrence matrix features as compared to the Gabor features which shows superiority of these features in capturing the texture of the mammograms. Novelty: The removal of the pectoral muscle is an important pre-processing step. Only with the proper elimination of the pectoral muscle, the segmentation of the mammograms is possible. The method proposed to remove the pectoral muscle in this paper removed the pectoral muscles from all the mammograms used in the study. The entropy based segmentation and the technique of the removal of the non-contributing features outperforms other CAD systems in the literature available. These are very promising results for successful design of a Computer-aided detection system for early detection of the breast cancer that can be put to clinical trials or used for the double reading. Keywords: Breast Cancer; Computer Aided Detection System; Entropy based Segmentation; Gabor Features; GrayLevel CoOccurrence Matrix Features
REVISITING THE DEMOCRATIC REPUBLIC OF THE CONGO STRATIFICATION MAP FOR THE YEAR 2000 USING CLOUD-BASED COMPOSITING AND OBJECT-BASED CLASSIFICATION ALGORITHMS

National stratification maps are essential to improve forest management systems. For the Democratic Republic of the Congo, the existing maps derived from remote sensing techniques do not allow an optimal representation of the diverse land cover classes constituting the national stratification scheme. This situation is inherent to the cloud persistence, the seasonality effects and the spatial resolution of the input satellite imagery used that is not always adequate for the discrimination of certain land cover classes. This paper explores a cloud-based median luminance best pixel approach to obtain a cloud-free mosaic of optimal quality. The mosaic produced has necessitated nearly 2,500 Landsat scenes and a following object-based classification enabled the generation of a stratification map for the year 2000 according to the national stratification theme. A stratified random sampling approach that required 1,141 reference samples allowed estimating the map accuracy at 79.32%. Land cover classes areas computed using standard good practices recommendations to estimate land areas indicated that the dense moist forest area was about 158,810,975 ± 7,460,671 ha representing 68.40% ± 3.21% of the country area. Thanks to the free, user-friendly and cloud-based platforms for satellite images processing, the methodology implemented is easily replicable for other tropical countries.
Preoperative Chemoradiation With Image-guided IMRT in Patients With Locally Advanced Gastric Cancer

PurposeTo evaluate the efficacy and toxicity of preoperative chemoradiation with image-guided IMRT in locally advanced resectable gastric cancer patients.Patients and methodsPatients with locally advanced (T3/T4 or N+) gastric cancer treated with neoadjuvant chemoradiotherapy followed by surgery between Jan 2013 and June 2019 in PUMCH were retrospectively analyzed. Radiotherapy(IMRT 45Gy/25#/5weeks) were delivered with megavolt computed tomography performed before every delivery to ensure the accuracy repeatability of gastric filling during treatment, with concurrent chemoctherapy(Capecitabine alone or XELOX*2 cycles). ResultsA total of 95 patients were included in the study with 93 patients (97.9%) had stage cT3/T4, 85 patients (89.5%) had stage N+. The location of the tumors was in the upper 1/3 in 85 patients (89.5%). Alltogether 93/95(97.9%) patients finished the neoadjuvant chemoradiation, 80 patients (84.2%) underwent gastric resection(58 D2 and 22 D1 gastrectomy). Pathology downstaging was observed in 68 patients (85.0%), including 66 patients (82.5%) with T downstaging and 56 patients (70.0%) with N downstaging. 11 patients (13.75%) obtained pathological complete response (pCR). The median follow-up was 44.7 months (19-96 months). Compared with the clinical efficacy of neoadjuvant chemotherapy in the previous literature, the clinical efficacy of image-guided IMRT combined with concurrent chemotherapy in patients with locally advanced resectable gastric cancer was improved, the 5-year OS, LRFS, and DMFS rates of patients were 46.98% (95% CI: 38.60%-55.36%), 86.55% (95% CI: 79.11%-93.99%), and 60.71% (95% CI: 51.49%-69.93%), respectively.Grades 3-4 leukopenia, anemia,and thrombocytopenia were observed in 13 (13.68%) patients, 9 (9.47%) patients, and 5 (5.26%) patients, respectively. Multivariate analysis demonstrated that pCR was significant prognostic factor for OS (HR =11.211, 95% CI: 1.500–83.813, P = 0.024). ConclusionCompared with the previous literature results of preoperative neoadjuvant chemotherapy for patients with gastric cancer, the application of image-guided IMRT(45Gy/25#/5weeks) combined with chemotherapy in preoperative neoadjuvant therapy for patients with locally advanced gastric cancer can achieve improved clinical efficacy, with higher rates of OS, LRFS, and DMFS, good tolerance of concurrent chemoradiotherapy with acceptable side effects.
Power Log’n’Roll: Power-Efficient Localized Rollback for MPI Applications Using Message Logging Protocols

In fault tolerance for parallel and distributed systems, message logging protocols have played a prominent role in the last three decades. Such protocols enable local rollback to provide recovery from fail-stop errors. Global rollback techniques can be straightforward to implement but at times lead to slower recovery than local rollback. Local rollback is more complicated but can offer faster recovery times. In this work, we study the power and energy efficiency implications of global and local rollback. We propose a power-efficient version of local rollback to reduce power consumption for non-critical, blocked processes, using Dynamic Voltage and Frequency Scaling (DVFS) and clock modulation (CM). Our results for 3 different MPI codes on 2 parallel systems show that power-efficient local rollback reduces CPU energy waste up to 50% during the recovery phase, compared to existing global and local rollback techniques, without introducing significant overheads. Furthermore, we show that savings manifest for all blocked processes, which grow linearly with the process count. We estimate that for settings with high recovery overheads the total energy waste of parallel codes is reduced with the proposed local rollback.
Fractional Flow Reserve Value of Reverse Redistribution in 201-Thallium Stress Scintigraphy

: Background: Reverse redistribution (RR) is a unique finding in Thallium-201 chloride ( 201 TlCl) stress scintigraphy, but there is no established notion of its mechanism. We hypothesized that RR enhances blood flow in the RR area and that the fractional flow reserve (FFR) is low in the RR area if there is decreased microvascular resistance. We aimed to clarify the mechanism of RR by comparing FFR with 201 TlCl stress scintigraphy. Methods and Results: This single-center retrospective study enrolled forty consecutive patients who underwent both FFR and stress/rest 201 TlCl stress scintigraphy between April 2012 and April 2016. A total of 11 patients were excluded due to the following reasons: percutaneous coronary intervention performed between FFR and scintigraphy (n = 1), unreliable FFR value (n = 1), and severe coronary artery stenosis (n = 5). Finally, 29 patients were analyzed. Each coronary territory was classified into three groups according to the value of summed difference score (SDS): control (SDS = 0; n = 6), redistribution (SDS (cid:2) 1; n = 12), and RR (SDS (cid:3) -1; n = 11) regions. The FFR values among the 3 groups were compared using Kruskal-Wallis test. The redistribution region as well as the RR region showed significantly lower FFR value than the control region (control; 0.93 vs. redistribution; 0.85, P = 0.03, vs. RR; 0.85, P = 0.03). Conclusions: The RR region had significantly lower FFR value than the control region. Reduced microvascular
Fairness in Incomplete Information Bargaining: Theory and Widespread Evidence from the Field

This paper uses detailed data on sequential offers from seven vastly different real-world bargaining settings to document a robust pattern: agents favor offers that split the difference between the two most recent offers on the table. Our settings include negotiations for used cars, insurance injury claims, a TV game show, auto rickshaw rides, housing, international trade tariffs, and online retail. We demonstrate that this pattern can arise in a perfect Bayesian equilibrium of an alternating-offer game with two-sided incomplete information, but this equilibrium is far from unique. We then provide a robust-inference argument to explain why agents may view the two most recent offers as corresponding to the potential surplus. Split-the-difference offers under this weaker, robust inference can then be viewed as fair. We present a number of other patterns in each data setting that point to split-the-difference offers as a strong social norm, whether in high-stakes or low-stakes negotiations.
Multifunctional PD-L1 Targeted Fe3O4@DOX Nanoparticles Under MRI Monitoring For Combination Therapy of Triple-Negative Breast Cancer

Background: The triple negative breast cancer (TNBC) is the most difficult subtype of breast cancer to treat, with currently restricted treatment of chemotherapy. However, evidence suggests that immunomotropy is only effective for a small portion of patients. The combination therapy of both immunotherapy and chemotherapy has demonstrated great promise in its treatment efficiency. However, this combination therapy is limited by both the organ toxicity of the chemotherapeutic drugs and the inaccessibility of the in vivo monitoring of individual tumor response to therapies. With the development of the nanomedicine, synchronous targeting therapy, imaging diagnosis and monitoring can be achieved convenientlly using the multifunctional nano-platform for TNBC. Results: In our study, we prepared the DOX loaded Fe3O4 nanoparticles targeting the PD-L1 (PD-L1@Fe3O4-DOX, FPD) to obtain the real-time magnetic resonance imaging (MRI) monitoring and combination therapy of both chemotherapy and immunotherapy for TNBC. The results showed that FPD inhibited tumor growth more effectively than either DOX chemotherapy or PD-L1 immunotherapy alone. Conclusion: Our study demonstrated that FPD has shown a great potential for theranostics and clinical translation in synchronous MRI imaging-guided monitoring and combined treatment of both DOX and immunotherapy of TNBC.
Development and Validation of an Ultraperformance Liquid Chromatography-Tandem Mass Spectrometry Method for Quantitation of Total 3,3’,5-triiodo-L-Thyronine and 3,3’,5,5’-tetraiodo-L-Thyronine in Rodent Serum

Abstract Many environmental chemicals are known to disrupt thyroid function. Measurement of thyroid hormones in animal studies provides useful information to understand the effects of environmental chemicals on thyroid hormone metabolism. We report an efficient method, utilizing a protein precipitation followed by ultraperformance liquid chromatography-tandem mass spectrometry analysis, to quantitate total 3,3’,5-triiodo-L-thyronine (triiodothyronine, T3) and total 3,3’,5,5’-tetraiodo-L-thyronine (thyroxine, T4) in rodent serum. The use of synthetic serum for calibration standards eliminated the interferences from endogenous total T3 and T4 and allowed the experimental lower limits of quantitation (LOQ) to be set at the required concentration (T3, 20 ng/dL; T4, 0.5 µg/dL) to allow quantitation of endogenous concentrations. The method was linear (r > 0.99; range 20.0-600 ng/dL T3, 0.500-15 µg/dL T4) with good assay recoveries (90.4-107%) for both analytes. Intra- and inter-day accuracy, estimated as percent relative error, were ≤ ±7.6% and intra- and inter-day precision, estimated as the relative standard deviation, were ≤ 5.3% for both analytes. The method may easily be adapted to a well-plate format thereby further improving the efficiency. Total T3 and T4 concentrations were stable in male and female rat and mouse serum when stored in the freezer (∼−70 °C) for up to 62 d with determined values within 92.8-111% of day 0 for both analytes. The method can be extended to quantitate total T3 and T4 concentrations in humans or other species with minimal optimization.
Market Imperfections within the European Wheat Value Chain: The Case of France and the United Kingdom

The focus of this paper is on the analysis of market imperfections in the French and U.K. wheat value chains. We used mark-up and mark-down models and stochastic frontier analysis to estimate the degree of market imperfections in two completely different wheat-to-bread chains for two stages/sectors—milling and baking. Our results reveal some degree of market imperfections within the input and output markets for both the milling and baking sectors in France and the United Kingdom. However, the abuse of bargaining power is especially pronounced in the input market for the second stage of wheat processing, particularly in the French baking sector. However, we did not observe the expected positive association between the degree of market imperfections and company size except for a group of middle, large, and very large companies within the millers’ input market. Small companies indicate considerably high values of “Lerner”/Lerner indices, suggesting a benefit from other sources of competitive advantage (such as quality, niche markets, etc.).
Towards a Comprehensive Understanding of Agile Teamwork: A literature-based Thematic Network

— Agile Software Development (ASD) has become the mainstream software development method of choice. Its core fundamentals are based on Teamwork factors and the higher value it gives to individuals and their interactions over processes and tools. Teamwork and human factors have been addressed as essential topics in the literature, and researchers have stated the importance of measuring it to increase the chances of success of ASD projects. However, there is no common understanding regarding the factors that should be considered for deﬁning an ASD Teamwork construct. Driven by this problem, this paper presents a thematic network that deﬁnes the themes (i.e., factors) that should be considered when addressing ASD Teamwork. The ASD Teamwork thematic network is the result of a process that consisted of (i) deﬁning the studies used as a data source through a literature review; (ii) extracting data from these studies; (iii) translating this data into codes; (iv) translating the codes into themes; (v) creating the model of higher-order themes; and, (vi) assessing the trustworthiness of the synthesis. The resulting thematic network comprises four higher-level themes: Cohesion, Orientation, Shared Leadership, and Autonomy. We believe that the constructed thematic network can be generalized to ASD and used as the basis by researchers who intend to explore ASD Teamwork. Further, practitioners can use our results to understand agile teams’ dynamics better and improve their efﬁciency.