jimnoneill/paper-to-field-training huggingface dataset:
Analisis Strategi Peningkatan Pendapatan Asli Daerah dalam Pelaksanaan Otonomi Daerah di Kota Bandar Lampung

Field: Social Sciences (Social Sciences)

In estimating the potential of the region, information and benchmarks are needed that are real in the field and are desired by the community concretely. One of the financial benchmarks that can be used to see regional readiness in implementing autonomy is to measure how far the financial capacity of a region is. While the regional financial capacity is usually measured by the amount of contribution of Regional Original Income (PAD). Data collection techniques used were interviews and documentation and data analysis techniques using qualitative descriptive. The results of the study using SWOT analysis showed that the strength of Bandar Lampung City Revenue Service in an effort to increase local revenue is to have qualified human resources (quite competent), the potential of the Bandar Lampung City Revenue Office is quite high quality in carrying out its main tasks and functions, there are job descriptions clear in carrying out their main tasks and functions and supporting adequate operational budget. The weaknesses are the weak function of coordination between and inter agencies, the weak monitoring function, inadequate office facilities and infrastructure and the weak application of sanctions for violators of taxes and levies. Potential objects as well as high taxpayers and retributions and strong political support for the elected Mayor and Deputy Mayor are opportunities for the Bandar Lampung City Revenue Service in an effort to increase local revenues and challenges or threats of Bandar Lampung City Revenue Service in an effort to increase local revenue is the scope of the area of potential that is quite broad and the low public awareness of taxpayers and levies.Keywords: Increased PAD, SWOT Analysis
1508-P: ZnPP-Laden Nanoparticles Improve Glucose Homeostasis and Chronic Inflammation during Obesity

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Type 2 diabetes mellitus (T2DM) characterized by insulin resistance has become a serious health threat. Chronic inflammation is believed to play a pivotal role in the development of T2DM. Previous study has shown that HO-1 plays an anti-inflammatory role, suggesting HO-1 inhibition could be an effective strategy to treat T2DM. However, application of HO-1 inhibitors is restricted due to their low solubility. In this study, we detected the role of HO-1 inhibitor, ZnPP, in regulating glucose homeostasis and inflammation during obesity. We encapsulated ZnPP with nanoparticles to increase its water solubility and delivered ZnPP-laden nanoparticles (Nano-ZnPP) to the obese mice. We found that inhibition of HO-1 by Nano-ZnPP significantly decreases adiposity, increases insulin resistance, and improves glucose tolerance in diet-induced obesity mice. Moreover, Nano-ZnPP treatment attenuated both local and systematical inflammatory levels during obesity. Mechanistically, Nano-ZnPP significantly attenuated glucagon, TNF, and fatty acid synthesis signaling pathway in liver. In white adipose tissue, oxidative phosphorylation signaling pathway was enhanced and inflammation signaling pathway was diminished by Nano-ZnPP. Our results showed that Nano-ZnPP has a better effect on improving glucose homeostasis and attenuating chronic inflammation, as compared to DMSO-dissolved ZnPP. These results indicate that ZnPP-laden nanoparticles could be a potential therapeutic agent to treat T2DM. Disclosure W.Yang: None. Y.Sun: None. S.Guo: None. M.Arora: None. H.Han: None. W.Jiang: None. D.Kim: None. W.Ai: None. Q.Pan: None. M.Kumar: None. W.Brashear: None. Funding National Institutes of Health (R01DK095118, R01DK120968, R01DK118334, R01AG064869)
The efficacy of air polishing devices in supportive periodontal therapy: Clinical, microbiological and patient‐centred outcomes. A systematic review

Field: Dentistry (Health Sciences)

Abstract Objectives The aim of this review was to compare air polishing devices with conventional periodontal therapy (hand instrumentation and/or ultrasonic debridement), in terms of their clinical, microbiological and patient‐related outcomes in patients undergoing periodontal maintenance therapy. Methods An online database search was performed to identify randomized controlled trials (RCTs) published between January 1987 and March 2021. Selection, data extraction and assessment risk of individual bias were conducted by two independent reviewers. The PICO method was employed to formulate the question: “In patients undergoing periodontal maintenance therapy/supportive periodontal therapy, do air polishing systems result in better clinical, microbiological and patient related outcomes than ultrasonic instrumentation or hand instrumentation?” Primary outcomes were bleeding on probing, gingival index and/or bleeding index. Secondary outcomes were probing depth, clinical attachment level, plaque index, microbiological counts and/or patient tolerance. The risk of bias was evaluated and the systematic review protocol was registered in PROSPERO. Results The electronic search yielded 501 references of which 14 were included in this review. A meta‐analysis was not performed due to great heterogeneity within the studies. Air polishing devices and conventional periodontal therapy presented identical results in the 14 studies analysed; however, air polishing devices presented better antimicrobial behaviour and better patient‐related outcomes. Conclusions Both air polishing devices and conventional techniques demonstrated no difference in terms of clinical efficacy; however, air polishing devices seem to present improved antimicrobial results. In addition, they are also a safer, faster and more comfortable option for patients undergoing supportive periodontal therapy.
Charles-Édouard Hocquard (1853–1911): Photographer of the 1884–5 SinoFrench War

Field: Arts and Humanities (Social Sciences)

Hocquard was a French military doctor and amateur photographer born in Saint- Nicolas-de-Port, northeastern France in 1853. Although he did not operate a commercial studio, the quality of the work he produced ensured his legacy as one of the finest of the early photographers in Vietnam.
Additional file 1: of Combined exposure of diesel exhaust particles and respirable Soufrière Hills volcanic ash causes a (pro-)inflammatory response in an in vitro multicellular epithelial tissue barrier model

Field: Medicine (Health Sciences)

Particle size distribution of the isolated respirable fraction of Soufrière Hills volcanic ash. Determined by a Beckman Coulter LS230 PSD analyser (Coulter Corporation, USA). Data are the mean of n = 3. (TIF 30 kb)
Software Product Assortment Management in Hyper-competitive Markets

Field: Business, Management and Accounting (Social Sciences)

The research investigates software developers’ product assortment strategy in the mobile application market. Cross-sectional data on the most downloaded application rankings available in the Apple’s App Store are utilized to understand the impact of app product assortment management on sales performance. The results show that a wide selections of apps across product categories (i.e., breadth of product lines) is positively associated with developers’ overall sales performances. I further find that developers offering both free and paid apps (depth of product lines) have higher sales figures than those selling paid apps only. Lastly, the results show that developers with a selection of apps (i.e., length of a product line) compete differently from developers having smaller number of apps. These findings have implications for theorizing about product assortment management in the hyper-competitive mobile app markets.
An Interpretative Phenomenological Analysis of Refugees' Experiences of Psychological Therapy for Trauma

Field: Psychology (Social Sciences)

Background: Guidelines for the treatment of Post-Traumatic Stress Disorder recommend 8-12 session of trauma-focused CBT or EMDR, however there is an extensive body of literature criticising the PTSD paradigm and usefulness of recommended therapies in treating PTSD in the 'real world', particularly with the complex presentations of refugees . Alternative models for 'complex' PTSD have been proposed, as have transtheoretical phased stages for treatment. To date there has been no research into refugees' experience of trauma-therapy. Leaving a significant gap in understanding of how trauma therapy works. \nAims: With this gap in the research in mind, and in line with the current focus on service user involvement in research, this study aims to investigate refugees' experiences of trauma-therapy. \nMethodology: Semi-structured interviews were conducted with six refugees who were coming towards the end of trauma-therapy with a specialist trauma service. The transcripts of the interviews were then analysed using Interpretative Phenomenological Analysis (IPA). \nResults: Six master themes emerged from analysis: 'Therapy as a light in a dark place', 'Rebuilding a shattered sense of self', 'A changing relationship with the world and others', 'Escaping the past to pursue a future', 'A journey from sceptic to convert' and 'From an unknown mystery to a known mystery'. These master themes along with the subordinate themes are expanded into a narrative account of participants' experiences. \nImplications & Conclusion: Amongst numerous implications for clinical practice the need for support to engage in therapy, thorough explanation of therapy and pre-empting of possible conflicts and difficulties arising were identified. Allowing time to build a therapeutic relationship, the usefulness of the PTSD construct for individuals and the importance of the 'non-specific' factors of therapy in addition to the teaching of techniques to manage symptoms were also found to be of importance. This study has made an important contribution to knowledge about refugees' experiences of therapy for trauma.
A Proposed Multi-Level Predictive WKM_ID3 Algorithm, Toward Enhancing Supply Chain Management in Healthcare Field

Field: Computer Science (Physical Sciences)

This research proposes a multi-level predictive algorithm based on the k-means algorithm with multiple adaptations. The research highlights the main limitations of k-means and proposes a set of adaptations that enhance the clustering task results in accuracy with minimal centroid distance error. The study proposes three enhancements in selecting the number of clusters, identifying the initial point, and exploring the contributing features set. Moreover, prediction is performed through a multi-level paradigm targeting performance enhancement by following the partitioning approach. The research experimental study focused on applying the proposed algorithm to the healthcare supply chain as it is one of the most influential factors for health services delivery. The proposed algorithm is applied to a dataset that is offered by USAID which includes 31622 records with 104 attributes. The proposed algorithm aims to predict the valued information in the supply chain progress such as predicted delivery time, predicted delay time, and other vital attributes. The data source is the USAID dataset; however, the research utilized the dataset for multiple objectives in vital aspects prediction of the healthcare supply chain with an average accuracy of 97.45%.
531 Comparison of Clinical Estimation and Stereophotogrammic Instrumented Imaging of Burn Scar Height and Volume

Field: Medicine (Health Sciences)

Abstract Introduction Descriptive clinical tools for the characterization of burn scar features are limited by variability between users and unknown sensitivity to change over time. We have previously described pre-clinical assessment of stereophotogrammetry as a valid measure of burn related scar and in this study compare the estimated vs. instrumented measurement of maximum height and total positive volume of burn scars in a tertiary care adult outpatient burn clinic. Methods This study was approved by our university’s research ethics board. All participants provided written informed consent. Persons 18 years or older presenting to an outpatient burn clinic with closed burn scar that may be captured in a single image were enrolled in the study. Patients with scars from other injuries or who were unable to provide consent were excluded. Photographs of burn scars were taken with a commercially available 3D camera. Three experienced wound care therapists estimated the maximum height and total positive volume of the collected images. The images were assessed with stereophotogrammic software with results exported to a spreadsheet for further analysis. Two factor analysis without replication was performed to calculate intra-class correlation coefficients (ICC) between the assessors estimated scar height and volume and the measured height and volume. Two sided Wilcoxon tests were performed comparing mean estimated height and volume between estimated and measured output. Results Fifteen participants with a mean age of 42.6 (21-68) were enrolled. Twenty-six scar images were taken from wounds that were managed by non operative treatment (20), excision and grafting (5), and 1 image was collected from a skin graft donor site. Scar images were taken of the trunk and extremities, but none of the head nor neck. The estimated maximum scar height ICC was 0.595 and volume 0.531. The measured scar height ICC was 0.933 and volume 0.890. Wilcoxon tests of estimated and measured volume were significantly different (z = -2.87, p = 0.041). Comparison of estimated and measured height were not significant (z = -1.39, p 0.161). Conclusions Stereophotogrammic measurement of maximum scar height and total scar volume is more reliable than clinical photograph assessment. Clinical estimation of scar volume is significantly less than instrumented measurement, although maximum estimated vs. measured scar height was not significant in this study. There are limitations in measuring scar properties for image capture that exceeds the visual field.
The leaf beetles (Coleoptera: Chrysomelidae) of the Pirin Mountain (Bulgaria)

Field: Agricultural and Biological Sciences (Life Sciences)

The paper reviews the diversity of leaf beetles of Pirin Mts, South Bulgaria. Two-hundred and eighty nine (sub)species are hitherto registered on the territory of the mountain (of them 38 are new records), which counts to approx. 57 % of the Bulgarian chrysomelid fauna. Of them, six species (Clytra valeriana tetrastigma, Luperus graecus, Gonioctena pallida reticulata, Oreina speciosissima drenskii, O. virgulata ljubetensis, Aphthona parnassicola) are Balkan endemics, and one (Longitarsus behnei) is local endemic. The dominant zoogeographical complexes are: Siberian (150 taxa), and European (113 taxa).
A Novel Integrated Rainfall-Runoff Model Based on TOPMODEL and Artificial Neural Network

Field: Environmental Science (Physical Sciences)

Conventional process-based rainfall-runoff models are difficult to catch the non-linear factors and to take full advantages of previous information of rainfall and runoff. However, these factors are closely related to the initial watershed average saturation deficit at each time step. Therefore, in order to address the issue, this study selected the parameter about initial underground flow in TOPMODEL (TOPOgraphic driven Model) as the breakthrough point. Then we used the previous two-day observed runoff and rainfall data as the inputs of an artificial neural network (ANN) and initial subsurface flow of present day as an output, then integrated ANN into runoff generation module in TOPMODEL and finally applied the integrated model for daily runoff modeling in Yingluoxia watershed with 10009km 2 , China. In addition, this work also utilized particle swarm optimization technique (PSO) to avoid the local optimization, especially for the integration of black-box and physical models. The result shows that during the validation period the Nash-Sutcliffe efficiency coefficient (NE) and root mean square error (RMSE) of TOPMODEL are 0.45 and 3.88×10 -4 m respectively while the NE of 0.70 and RMSE of 2.85×10 -4 m for the integrated model. Significantly, the integrated model performs much better than the traditional model. Hence, this new method of integrating ANN with the runoff generation module of TOPMODEL is promising and easily extended to other process-based rainfall-runoff models as well.
[A finger-saving operation in squamous cell carcinoma of the right thumb. A case report].

Field: Medicine (Health Sciences)

A 68-year-old man with squamous cell carcinoma of the right thumb underwent a finger-saving operation. The lesion (2 X 2.3 cm) was located near the IP joint. There were no distant metastases. A wide local excision including the MP joint was performed, and the axillary lymph nodes were dissected. To avoid any loss of length the bone defect was treated with a 2.5-cm-long bone graft from the third rib. The skin defect was closed with a local flap. In the histological examination tumor cells reached the subcutaneous layer; the deeper layers and the bone were not involved. Two years after the operation neither local recurrence nor distant metastases were found and the function of the right hand was good. The good outcome of this case does not allow any general conclusion on the best treatment for such cases; but it does emphasize the difficulties of deciding on the treatment (amputation or excision) to be applied in this area.
Supplemental Figures and Tables from Higher Absolute Lymphocyte Counts Predict Lower Mortality from Early-Stage Triple-Negative Breast Cancer

Field: Medicine (Health Sciences)

<p>Supplemental Figure 1. Patient inclusion and exclusion criteria. TNBC: triple negative breast cancer; ALC: absolute lymphocyte count; nSES: neighborhood socioeconomic status. Supplemental Figure 2a and 2b. Association between minimum lymphocyte count (as percentage of total white blood cell count and absolute value) and stromal tumor infiltrating lymphocytes (sTILs), N=77. Figure 2a. sTILs were correlated with minimum % lymphocyte (p=0.02). Figure 2b. sTILs did not have a significant correlation with minimum absolute (abs) lymphocytes (p=0.36) Supplemental Figure 3. Comparison between Absolute Lymphocyte Count (ALC) and percent peripheral lymphocytes Supplemental Figure 4. Distribution of Absolute Lymphocyte Count (ALC) measures at baseline, defined as ALC value measured within the first three months of breast cancer diagnosis. Supplemental Figure 5. Distribution of minimum Absolute Lymphocyte Count (ALC) values at any time point Supplemental Figure 6. Distribution of overall minimum Absolute Lymphocyte Count (ALC) over time Supplemental Table 1. Multivariable analysis of predictors of lymphopenia (absolute lymphocyte count [ALC] <1K/ï�­L; n=747); statistically significant variables are in bold font. Supplemental Table 2. Multivariable analysis of the association between minimum absolute lymphocyte count (ALC) and breast cancer-specific mortality using complete case analysis (n=747) â€ Supplemental Table 3. Multivariable analysis of the association between minimum absolute lymphocyte count (ALC) and breast cancer-specific mortality using multiple imputation methods Supplemental Table 4. Multivariable analysis of the association between minimum ALC and OM with RT temporal consideration (n=747) Supplemental Table 5. Multivariable analysis of the association between minimum ALC and BCM with RT temporal consideration (n=747) Supplemental Table 6. Multivariable analysis of the association between minimum ALC and OM with neutropenia temporal consideration (n=747) Supplemental Table 7. Multivariable analysis of the association between minimum ALC and BCM with neutropenia temporal consideration (n=747) Supplemental Table 8. Multivariable analysis of the association between minimum percent lymphocyte count and overall mortality using complete case analysis (n=532). Supplemental Table 9. Multivariable analysis of the association between minimum percent lymphocyte count and breast-cancer specific mortality using complete case analysis (n=532)</p>
Expression and significance of CCL20 in serum of patients with Hashimoto's thyroiditis

Field: Medicine (Health Sciences)

Objective: To investigate the level of serum CCL20 and its correlation with TPOAb and TgAb.Methods:Thirty-two patients with Hashimoto's thyroiditis(thyroiditis group) and 22 normal cases(control group) were enrolled in the present study.Total RNA in PBMCs was extracted by using TRIzol.Real-time PCR was used to assay expression level of CCL20 mRNA.CCL20 protein level in serum was detected by ELSIA method.The correlation between CCL20 and TPOAb,TgAb was analyzed using Pearson's correlation analysis,respectively.Results:Serum CCL20 expression level in thyroiditis group was higher than that in control group.Moreover,the difference between them was statistically significant(P0.05).Serum CCL20 level was positively correlated with serum TPOAb,TgAb,respectively(P0.05).Conclusion:Serum CCL20 expression level increased in patients with Hashimoto's thyroiditis.CCL20 might be involved in the pathogenesis of Hashimoto's thyroiditis.
MSMD-Net: Deep Stereo Matching with Multi-scale and Multi-dimension Cost Volume.

Field: Computer Science (Physical Sciences)

Deep end-to-end learning based stereo matching methods have achieved great success as witnessed by the leaderboards across different benchmarking datasets (KITTI, Middlebury, ETH3D, etc). However, real scenarios not only require approaches to have state-of-the-art performance but also real-time speed and domain-across generalization, which cannot be satisfied by existing methods. In this paper, we propose MSMD-Net (Multi-Scale and Multi-Dimension) to construct multi-scale and multi-dimension cost volume. At the multi-scale level, we generate four 4D combination volumes at different scales and integrate them with an encoder-decoder process to predict an initial disparity estimation. At the multi-dimension level, we additionally construct a 3D warped correlation volume and use it to refine the initial disparity map with residual learning. These two dimensional cost volumes are complementary to each other and can boost the performance of disparity estimation. Additionally, we propose a switch training strategy to alleviate the overfitting issue appeared in the pre-training process and further improve the generalization ability and accuracy of final disparity estimation. Our proposed method was evaluated on several benchmark datasets and ranked first on KITTI 2012 leaderboard and second on KITTI 2015 leaderboard as of September 9. In addition, our method shows strong domain-across generalization and outperforms best prior work by a noteworthy margin with three or even five times faster speed. The code of MSMD-Net is available at this https URL.