bluuebunny/crossref_metadata_2025_split huggingface dataset:
Retroperitoneal Solid Pseudopapillary Tumor Mimicking Adrenal Malignant Tumor in a 67-Year-Old Man
Authors: Ishii Takahiro , Terasaka Tomohiro , Nishida Kenji , Wada Jun 
Published: August 2023

Abstract
Solid pseudopapillary tumor (SPT) is a low-grade malignant tumor of the pancreas. SPT typically affects women and can occur in ectopic pancreatic region; however, it also occurs rarely in retroperitoneum. The tumor may be bulky at the time of diagnosis since there is no specific clinical manifestation. Here we present an older male case with retroperitoneal SPT. A 67-year-old man consulted for intermittent fever and lumbago. His basal hormonal profile screened out a functional tumor. Computed tomography (CT) showed a gigantic mass in his left adrenal region. A normal left adrenal gland was not identified, and the tumor's feeding artery was recognized as the left adrenal artery by the contrast-enhanced CT. Adrenal malignant tumor was suspected, and tumor resection was performed. The resected tumor size was 15 × 10 × 9 cm. Histologically, epithelial-like cells with round nuclei and a small amount of eosinophilic cytoplasm proliferated in papillary (around the blood vessels) or uniformly solid form. By immunostaining, tumor cells were vimentin, CD56, cytokeratin AE1/AE3, CD10, β-catenin in the nucleus, cyclin D1, and PgR positive. These findings led to the diagnosis of SPT. Although rare, SPT should be considered as a differential diagnosis in cases of a mass arising from the adrenal region.
Coexisting in Intolerance under the Edict of Pacification
Authors: Kang Sukhwan 
Published: August 2023

AbstractThis article examines the legal battle between Catholics and Huguenots over the articles of the Edict of Nantes from 1650 to 1685 in Normandy. Their legal disputes show us how seventeenth-century French people perceived the issues of religious tolerance and coexistence by focusing on how the edict's articles controlling Protestant worship spaces were interpreted and implemented. Norman Catholics attempted to outlaw Protestant temples, but they had to move within the edict's authority. Norman Huguenots still could deflect unfavorable decisions through legal recourse based on the edict. Even if confessional antagonism remained alive, and the Revocation finally upended the legal cohabitation of the two confessions, the legal battle reveals that by transforming the main character of religious conflict from a deadly fight to a judicial matter, French Catholics and Protestants bit by bit adapted into a new type of confessional relationship: coexisting with “abominable heretics.”
The dopamine receptor antagonist haloperidol disrupts behavioral responses of sea urchins and sea stars
Authors: Howell Emma , Lancaster Abigail , Besh Jordan , Richardson Bea , Gomez Eileen , Harnew-Spradley Sophia , Shelley Chris 
Published: August 2023

ABSTRACT
Despite lacking a brain and having an apparent symmetrically pentaradial nervous system, echinoderms are capable of complex, coordinated directional behavioral responses to different sensory stimuli. However, very little is known about the molecular and cellular mechanisms underlying these behaviors. In many animals, dopaminergic systems play key roles in motivating and coordinating behavior, and although the dopamine receptor antagonist haloperidol has been shown to inhibit the righting response of the sea urchin Strongylocentrotus purpuratus, it is not known whether this is specific to this behavior, in this species, or whether dopaminergic systems are needed in general for echinoderm behaviors. We found that haloperidol inhibited multiple different behavioral responses in three different echinoderm species. Haloperidol inhibited the righting response of the sea urchin Lytechinus variegatus and of the sea star Luidia clathrata. It additionally inhibited the lantern reflex of S. purpuratus, the shell covering response of L. variegatus and the immersion response of L. variegatus, but not S. purpuratus or L. clathrata. Our results suggest that dopamine is needed for the neural processing and coordination of multiple different behavioral responses in a variety of different echinoderm species.
Beat the heat: thermal respites and access to food associated with increased bumble bee heat tolerance
Authors: Quinlan Gabriela M. , Feuerborn Cody , Hines Heather M. , Grozinger Christina M. 
Published: August 2023

ABSTRACT
Climate change poses a threat to organisms across the world, with cold-adapted species such as bumble bees (Bombus spp.) at particularly high risk. Understanding how organisms respond to extreme heat events associated with climate change as well as the factors that increase resilience or prime organisms for future stress can inform conservation actions. We investigated the effects of heat stress within different contexts (duration, periodicity, with and without access to food, and in the laboratory versus field) on bumble bee (Bombus impatiens) survival and heat tolerance. We found that both prolonged (5 h) heat stress and nutrition limitation were negatively correlated with worker bee survival and thermal tolerance. However, the effects of these acute stressors were not long lasting (no difference in thermal tolerance among treatment groups after 24 h). Additionally, intermittent heat stress, which more closely simulates the forager behavior of leaving and returning to the nest, was not negatively correlated with worker thermal tolerance. Thus, short respites may allow foragers to recover from thermal stress. Moreover, these results suggest there is no priming effect resulting from short- or long-duration exposure to heat – bees remained equally sensitive to heat in subsequent exposures. In field-caught bumble bees, foragers collected during warmer versus cooler conditions exhibited similar thermal tolerance after being allowed to recover in the lab for 16 h. These studies offer insight into the impacts of a key bumble bee stressor and highlight the importance of recovery duration, stressor periodicity and context on bumble bee thermal tolerance outcomes.
Isolation, morphological characterization, and screening a virulence of Beauveria bassiana and Metarhizium robertsii as bioagents
Authors: Geremew Dereje , Shiberu Tadale , Leta Ararsa 
Published: August 2023

Background: Entomopathogenic fungi exists naturally in plants as an asymptote and has the potential to reduce the population of insect pests through indirect interactions. This study was conducted to detect and characterize the endophytic fungi Beauveria bassiana and Metarhizium robertsii from the rhizosphere soil of tomato plants and their virulence effect on Galleria melonella. Methods: From the rhizosphere soil of 40 tomato fields, three Beauveria bassiana and seven Metarhizium robertsii isolates were identified using the galleria bait method. All fungi isolates were morphologically characterized by their colony color, shape, and surface texture. Isolates with the highest percentages of germination, conidial yield, and radial growth were selected, and their pathogenicity was evaluated on second instar larvae of Galleria melonella under laboratory conditions. Results: In this study, Beauveria bassiana showed white colony color and aseptate hyphae, whereas Metarhizium robertsii showed dark green to light green colony color and septate hyphal structures. Maximum spore production and conidial length were obtained by Beauveria bassiana isolate APPRC-27 with 2.67x107 spores ml-1 and 3.24 µm, respectively. Colony radial growth rates ranged from 1.73 to 3.24 mm day-1. The results revealed that the highest mortality rate of Galleria melonella (100%) was obtained by Metarhizium robertsii isolates K-61 and K-102 at a concentration of 1x108 conidial ml-1 at 7 days post-inoculation. The lowest mortality rate was registered by Metarhizium robertsii isolate RST-11. Conclusions: In the present study, isolates that produced the most spores and had the highest germination rates were the most virulent to Galleria mellonella second instar larvae. Therefore, virulent entomopathogenic fungi, Beauveria bassiana and Metarhizium robertsii, are promising bioagents for the control of pests.
Peningkatan Penjualan Produk UMKM Mysneakersby melalui Platform E-Commerce dengan Pendekatan Sistem Dinamik
Authors: Suryani Erma , Hendrawan Rully Agus , Viontita Serra Charisma , Muhayat Hanifan , Al-Aziz Faiq Najib , Rafi Haris , Mufliq Achmad , Chandra Alvisi Aura 
Published: August 2023

Saat ini UMKM terus bersaing dalam memberikan pelayanan yang maksimal. Salah satu upaya dalam memberikan pelayanan dilakukan menggunakan teknologi informasi. Sehingga saat ini teknologi informasi juga digunakan dalam kegiatan promosi hingga perhitungan keuntungan penjualan. Namun saat ini masih terdapat kurangnya pengetahuan pengelolaan teknologi informasi khususnya sosial media dalam pemanfaatannya untuk meningkatkan penjualan produk UMKM. Sehingga pada kegiatan pengabdian masyarakat ini akan mengukur keuntungan UMKM saat ini dengan menggunakan model sistem dinamik dikembangkan dengan menggunakan aplikasi Ventana Simulation (Vensim), dan simulasi dilakukan untuk memvalidasi model yang telah dibangun. Hasil simulasi digunakan untuk menyusun skenario-skenario kebijakan yang dapat mendukung peningkatan penjualan di masa depan. Manfaat dari kegiatan ini termasuk terciptanya modul penggunaan teknologi untuk peningkatan penjualan serta strategi peningkatan penjualan berdasarkan model simulasi sistem dinamik. Dampak yang diharapkan adalah peningkatan penjualan melalui pemanfaatan teknologi sebagai alat bantu dalam mempercepat dan memperluas jangkauan konsumen, serta memberikan rekomendasi strategi yang efektif dalam meningkatkan penjualan bisnis Mysneakersby. Hasil kegiatan pengabdian masyarakat ini menunjukkan bahwa terdapat faktor-faktor yang signifikan yang mempengaruhi tingkat penjualan produk Mysneakersby, yaitu promo, harga produk, keragaman produk, dan pelayanan toko.
Analysis of scanning systematic errors for airborne laser bathymetry
Authors: Du Libin , Cui Tong , Meng Xiangqian , Yuan Yibo , Wang Liwei , Shang Zhiwei , Chen Hao , Huang Hongzhi 
Published: August 2023

For the Palmer mechanical scanning pattern of an airborne laser bathymetry system, the potential errors of the scanning system are analyzed, and the associated error model is derived. The model composes the description of laser rays, water surface fluctuations, and refraction, and introduces certain simplifications concerning the water surface and column. Based on the scanning error model, the impact of each error source on the vertical and horizontal positioning accuracy is investigated and established through a numerical simulation. The quantitative impacts of each inaccuracy on the coordinates of the laser footprints on the sea surface and bottom were calculated, with a height of 100 m for the airborne platform and a water depth of 10 m. To verify the correctness of the simulation results and the error model based on a theoretical analysis, experiments are utilized with the system that we developed. Both the simulation analysis and experimental results show that this method can effectively obtain the systematic errors. The outcomes of the error model and analysis will give the theoretical foundations for lowering the effect brought on by each error source in the compensation scanning system and improving the point cloud accuracy in the ensuing data processing.
Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study
Authors: Yotsu Rie R. , Ding Zhengming , Hamm Jihun , Blanton Ronald E. 
Published: August 2023

BackgroundDeep learning, which is a part of a broader concept of artificial intelligence (AI) and/or machine learning has achieved remarkable success in vision tasks. While there is growing interest in the use of this technology in diagnostic support for skin-related neglected tropical diseases (skin NTDs), there have been limited studies in this area and fewer focused on dark skin. In this study, we aimed to develop deep learning based AI models with clinical images we collected for five skin NTDs, namely, Buruli ulcer, leprosy, mycetoma, scabies, and yaws, to understand how diagnostic accuracy can or cannot be improved using different models and training patterns.MethodologyThis study used photographs collected prospectively in Côte d’Ivoire and Ghana through our ongoing studies with use of digital health tools for clinical data documentation and for teledermatology. Our dataset included a total of 1,709 images from 506 patients. Two convolutional neural networks, ResNet-50 and VGG-16 models were adopted to examine the performance of different deep learning architectures and validate their feasibility in diagnosis of the targeted skin NTDs.Principal findingsThe two models were able to correctly predict over 70% of the diagnoses, and there was a consistent performance improvement with more training samples. The ResNet-50 model performed better than the VGG-16 model. A model trained with PCR confirmed cases of Buruli ulcer yielded 1–3% increase in prediction accuracy across all diseases, except, for mycetoma, over a model which training sets included unconfirmed cases.ConclusionsOur approach was to have the deep learning model distinguish between multiple pathologies simultaneously–which is close to real-world practice. The more images used for training, the more accurate the diagnosis became. The percentages of correct diagnosis increased with PCR-positive cases of Buruli ulcer. This demonstrated that it may be better to input images from the more accurately diagnosed cases in the training models also for achieving better accuracy in the generated AI models. However, the increase was marginal which may be an indication that the accuracy of clinical diagnosis alone is reliable to an extent for Buruli ulcer. Diagnostic tests also have their flaws, and they are not always reliable. One hope for AI is that it will objectively resolve this gap between diagnostic tests and clinical diagnoses with the addition of another tool. While there are still challenges to be overcome, there is a potential for AI to address the unmet needs where access to medical care is limited, like for those affected by skin NTDs.
Meaningful everyday life situations from the perspective of children born preterm: A photo-elicitation interview study with six-year-old children
Authors: Andersson Anna Karin , Almqvist Lena , Strand Brodd Katarina , Harder Maria 
Published: August 2023

AimThe aim of the study was to explore meaningful everyday life situations as perceived by six-year-old children born preterm.Materials and methodsThe study had a descriptive qualitative design with an inductive approach. Ten, six-year-old children born preterm, not diagnosed with any disabilities, participated. Data was collected by photo-elicitation interviews to stimulate and help the children to describe their meaningful everyday life situations. A qualitative content analysis according to Elo and Kyngäs was applied.ResultsThe children’s descriptions of meaningful everyday life situations can be understood asbeing in an active and dynamic process, representing the core category. The analysis resulted in three generic categories, as the children described the significance ofhaving significant circumstancesanddoing things. The experiences the children gain when they do things create theirdesire for further development.DiscussionThe results reveal that children born preterm are able to reflect on and give detailed descriptions of situations of importance to them. The study suggests that if six-year-old children born preterm are given the opportunity to share their views they can take an active role e.g. in planning and carrying through of interventions by health care services.
Antipsychotic polypharmacy and associated factors among patients with schizophrenia: Multicenter cross-sectional study in Northwest Ethiopia
Authors: Tamene Fasil Bayafers , Sema Faisel Dula , Sendekie Ashenafi Kibret 
Published: August 2023

Background
Antipsychotic polypharmacy (APP) remains common despite guideline recommendations to minimize combinations, except after repeated antipsychotic monotherapy trials. This study aimed to assess APP and its associated factors among schizophrenia patients at comprehensive specialized hospitals in Northwest Ethiopia.

Methods
An institutional-based cross-sectional study was conducted among 422 schizophrenia patients at selected hospitals in Ethiopia from June to August 2022. The data were collected using a semi-structured questionnaire. Study participants were enrolled using systematic random sampling. Data entry and analysis were done with Epi-data version 4.6.1 and SPSS version 24, respectively. APP was determined by reviewing the number of medications based on relevant evidence. A multivariable logistic regression model was fitted to identify APP factors. Variables with a p-value of < 0.05 at a 95% confidence interval were considered statistically significant.

Results
From a total of 430 approached samples, 422 (98.1% response rate) eligible patients were included in the study. An overall APP prevalence was 22.7% (95% CI: 19–27). Duration of illness (AOR = 2.88; 95% CI: 1.49, 5.59); duration of treatment (AOR = 3.79; 95% CI: 1.05, 13.62); number of admissions (AOR = 4.93; 95% CI: 2.52, 9.64); and substance use (AOR = 2.58; 95% CI: 1.49, 4.47) were significantly associated with APP.

Conclusion and recommendation
In this study, APP was recorded in a considerable number of patients. Patients with a longer duration of illness and treatment, frequent admissions, and substance users need critical follow-up to minimize antipsychotic medication use.
Development and Validation of a Machine Learning System to Identify Reflux Events in Esophageal 24-Hour pH/Impedance Studies
Authors: Zhou Margaret J. , Zikos Thomas , Goel Karan , Goel Kabir , Gu Albert , Re Christopher , Florez Rodriguez David Jose , Clarke John O. , Garcia Patricia , Fernandez-Becker Nielsen , Sonu Irene , Kamal Afrin , Sinha Sidhartha R. 
Published: August 2023

INTRODUCTION:
Esophageal 24-hour pH/impedance testing is routinely performed to diagnose gastroesophageal reflux disease. Interpretation of these studies is time-intensive for expert physicians and has high inter-reader variability. There are no commercially available machine learning tools to assist with automated identification of reflux events in these studies.

METHODS:
A machine learning system to identify reflux events in 24-hour pH/impedance studies was developed, which included an initial signal processing step and a machine learning model. Gold-standard reflux events were defined by a group of expert physicians. Performance metrics were computed to compare the machine learning system, current automated detection software (Reflux Reader v6.1), and an expert physician reader.

RESULTS:
The study cohort included 45 patients (20/5/20 patients in the training/validation/test sets, respectively). The mean age was 51 (standard deviation 14.5) years, 47% of patients were male, and 78% of studies were performed off proton-pump inhibitor. Comparing the machine learning system vs current automated software vs expert physician reader, area under the curve was 0.87 (95% confidence interval [CI] 0.85–0.89) vs 0.40 (95% CI 0.37–0.42) vs 0.83 (95% CI 0.81–0.86), respectively; sensitivity was 68.7% vs 61.1% vs 79.4%, respectively; and specificity was 80.8% vs 18.6% vs 87.3%, respectively.

DISCUSSION:
We trained and validated a novel machine learning system to successfully identify reflux events in 24-hour pH/impedance studies. Our model performance was superior to that of existing software and comparable to that of a human reader. Machine learning tools could significantly improve automated interpretation of pH/impedance studies.
Temperature sensor location for the implementation of cascade control schemes in distillation columns: an approach based on multiscale time series analysis
Authors: Moguel-Castañeda Jazael G. , Gomez-Rodriguez Rafael , Puebla Hector , Hernandez-Martinez Eliseo 
Published: August 2023

Abstract
In this work, the application of multiscale analysis to evaluate the sensitivity of the dynamic responses of the trays in a distillation column exposed to external disturbances is explored. This sensitivity allows for the identification of the tray where the temperature sensor improves the performance of a composition-temperature type cascade controller. To implement the proposed methodology, synthetic time series are generated for each plate of the column, which is subsequently analyzed using the multiscale rescaled range (R/S) analysis. Three case studies were evaluated (binary mixtures, azeotropic mixture and ternary mixture), finding that the highest values of the Hurst exponent correlate with the areas of greatest sensitivity of the column. To corroborate this result, a composition-temperature cascade control scheme was implemented, evaluating the temperature sensor in each plate of the column, identifying that the zone of greatest sensitivity determined with the multiscale analysis corresponds to the best performance of the controller. Therefore, our results show that the proposed methodology represents an easy-to-implement alternative that provides information on the most suitable zone for the placement of temperature sensors to improve the performance of cascade control in a pre-designed distillation column.
Application of aptamer-functionalized nanomaterials in molecular imaging of tumors
Authors: Yin Xiujuan , Zhao Huimin , He Zhenqiang , Wang Xiao 
Published: August 2023

Abstract
Cancer is one of the most important causes of human death. Early diagnosis and treatment can make patients live longer. Therefore, there is an urgent need to develop early and accurate diagnosis method for tumors. Molecular imaging technology can be used for qualitative and quantitative analyses at cellular and molecular levels, which provides a new technology for accurate diagnosis of tumors. In recent years, various nanomaterials with unique properties have been used for tumor molecular imaging. Meanwhile, aptamers are becoming an indispensable element in the design of functional nanomaterials because of their small size, high stability, and convenient modification, especially giving nanomaterials the ability to recognize specific targets. Therefore, aptamer-functionalized nanomaterials (AFNs) provide unprecedented opportunities for the field of tumor diagnosis. Here we focus on the latest development of AFNs in the molecular imaging of tumors. First, we introduce the characteristics and advantages of common aptamer-modified organic nanomaterials and inorganic nanomaterials. Then, the applications of AFNs in fluorescence imaging, computed tomography, magnetic resonance imaging, radionuclide imaging, ultrasound imaging, photoacoustic imaging, and multimode fusion imaging are discussed. Finally, we provide some perspectives on the challenges and opportunities that have arisen from this promising area.