bluuebunny/crossref_metadata_2025_split huggingface dataset:
Glaciogenic Seeding of Cold-Season Orographic Clouds to Enhance Precipitation: Status and Prospects
Authors: Geerts Bart , Rauber Robert M. 
Published: July 2022

Abstract
This essay is intended to provide stakeholders and news outlets with a plain-language summary of orographic cloud seeding research, new capabilities, and prospects. Specifically, we address the question of whether a widely practiced type of weather modification, glaciogenic seeding of orographic clouds throughout the cold season, can produce an economically useful increase in precipitation over a catchment-scale area. Our objective is to clarify current scientific understanding of how cloud seeding may affect precipitation, in terms that are more accessible than in the peer-reviewed literature. Public confidence that cloud seeding “works” is generally high in regions with operational seeding, notwithstanding decades of scientific reports indicating that the changes in precipitation are uncertain. Randomized seeding experiments have a solid statistical foundation and focus on the outcome, but, in light of the small seeding signal and the naturally noisy nature of precipitation, they generally require too many cases to be affordable, and therefore are discouraged. A complementary method, physical evaluation, examines changes in cloud and precipitation processes when seeding material is injected and yields insights into the most suitable ambient conditions. Recent physical evaluations have established a robust, well-documented scientific basis for glaciogenic seeding of cold-season orographic clouds to enhance precipitation. The challenge of seeding impact assessment remains, but evidence is provided that, thanks to recent significant progress in observational and computational capabilities, the research community is finally on track to be able to provide stakeholders with guidance on the likely quantitative precipitation impact of cloud seeding in their region. We recommend further process-level evaluations combined with highly resolved, well-constrained numerical simulations of seasonal cloud seeding.
Environmental Analysis of Warm-Season First Cloud-To-Ground Lightning Events over the Western Florida Peninsula
Authors: Chavez Ivan , Milrad Shawn M. , Halperin Daniel J. , Mroczka Bryan , Tyle Kevin R. 
Published: July 2022

Abstract
Florida annually leads the United States in lightning-caused fatalities. While many studies have examined the lightning frequency maximum near Cape Canaveral, relatively little attention has been paid to the western Florida peninsula, which features a similar warm-season lightning event density. Of particular concern are first cloud-to-ground (FCG) lightning events in developing thunderstorms, which are difficult to predict with sufficient lead time and can catch people off guard. This study performs an environmental analysis of warm-season (May–September) FCG events (2014–21) across the western Florida peninsula using high-resolution model analysis data, including a comparison to null (No CG) days. FCG events and No CG days are first identified from ground-based lightning data and partitioned into nine synoptic-scale flow regimes. Next, spatiotemporal distributions of FCG events are elucidated for the western Florida peninsula. An ingredients-based analysis shows that the convective environment one hour before FCG events during strong south-southeast flow features the largest amounts of moisture, but the smallest instability values and weak midtropospheric lapse rates, primarily due to warm advection and moisture transport from the Atlantic Ocean. Environments one hour before FCG events in all nine flow regimes feature markedly greater instability values, larger relative humidity values, and steeper midtropospheric lapse rates than do No CG days. Results emphasize that instability and moisture are the key ingredients for warm-season FCG events in the region. Convective parameter statistical distributions and composite soundings populate an online dashboard that can be used by regional forecasters to better predict FCG events and increase alert lead times.

Significance Statement
Florida annually leads the United States in lightning fatalities. Of particular concern are first cloud-to-ground (FCG) lightning events, which are difficult to forecast and can catch people off guard especially during outdoor recreational activities and labor. We investigate the environmental characteristics of warm-season FCG events across the western Florida peninsula. Among nine regional flow patterns, some are associated with a less moist and more unstable atmosphere one hour before an FCG event, while other regimes exhibit a more moist and less unstable atmosphere. However, regardless of flow pattern, FCG events consistently feature substantially greater instability and moisture than do null events. Key findings are displayed on an online dashboard, to better inform regional forecasters.
Elevated Calcitonin Levels in a Patient With a Pheochromocytoma: A Case Report
Authors: Shihabi Areej , Issa Peter P. , Cironi Katherine , Omar Mahmoud , Abdelgawad Mohamed , Kandil Emad 
Published: July 2022

Elevated calcitonin and catecholamine levels in patients with adrenal masses and thyroid nodules are suspicious for multiple endocrine neoplasia type 2A. Here, we present an interesting case with elevated catecholamines, thyroid nodules, and hypercalcitoninemia. A 46-year-old woman with complaint of abdominal pain was recently hospitalized. Abdominal computed tomography elicited a 7 cm left adrenal mass. Upon presentation to our clinic, the patient complained of abdominal pain, nausea, and diaphoresis. Laboratory studies showed elevated catecholamines, and a pheochromocytoma was subsequently diagnosed. Further evaluation elicited elevated calcitonin levels and a suspicious 3 cm left thyroid nodule, inciting concern for medullary thyroid carcinoma. The patient underwent an uneventful robot-assisted laparoscopic left adrenalectomy. Surgical pathology confirmed a pheochromocytoma. Post-operative calcitonin levels resolved to within normal range. The patient elected to undergo a left hemithyroidectomy. Surgical pathology confirmed calcitonin-negative nodular hyperplasia, negative for malignancy. The patient’s diagnosis was confined to a pheochromocytoma. Clinicians should investigate high calcitonin levels associated with a pheochromocytoma as it may not always be ascribed to the thyroid.
Application of Ultrasound-Guided Cervical Plexus Block in Type I Thyroid Cartilage Laryngoplasty and Vocal Cord Medialization Surgery
Authors: Li Ronggang 
Published: July 2022

Background: Under the background that cervical plexus block (CPB) is often adopted for type I thyroid cartilage laryngoplasty (TCL) and vocal cord medialization (VCM), the present study sought to investigate whether ultrasound-guided CPB (USCPB) could improve the efficiency of type I TCL and VCM. Methods: Patients with TCL were enrolled and subjected to deep and superficial USCPBs. Intravenous dexmedetomidine pumping was used to assist the painless sedation and ensure the patients to be awake for phonation during surgery. Blood pressure, electrocardiogram, heart rate (HR), and blood oxygen saturation (SpO2) of patients were recorded. The complications, like local anesthetic toxicity and total spinal anesthesia, were monitored. Results: All patients underwent CPB without infiltration anesthesia and complication. The use of Sufentanil at the dose of 5–10 μg was reported in 2 of 15 patients. No Horner syndrome was discovered in patients after anesthesia, and total intravenous anesthesia with intravenous pumping of dexmedetomidine was effective. During surgery, HR, diastolic blood pressure and mean blood pressure were barely changed, but systolic blood pressure was decreased. Conclusion: Ultrasound-guided CPB with the intravenous dexmedetomidine pumping is a safe anesthesia method for patients during TCL.
We got nuts! use deep neural networks to classify images of common edible nuts
Authors: An Ruopeng , Perez-Cruet Joshua , Wang Junjie 
Published: July 2022

Background Nuts are nutrient-dense foods that contribute to healthier eating. Food image datasets enable artificial intelligence (AI) powered diet-tracking apps to help people monitor daily eating patterns. Aim This study aimed to create an image dataset of commonly consumed nut types and use it to build an AI computer vision model to automate nut type classification tasks. Methods iPhone 11 was used to take photos of 11 nut types—almond, brazil nut, cashew, chestnut, hazelnut, macadamia, peanut, pecan, pine nut, pistachio, and walnut. The dataset contains 2200 images, 200 per nut type. The dataset was randomly split into the training (60% or 1320 images), validation (20% or 440 images), and test sets (20% or 440 images). A neural network model was constructed and trained using transfer learning and other computer vision techniques—data augmentation, mixup, normalization, label smoothing, and learning rate optimization. Results The trained neural network model correctly predicted 338 out of 440 images (40 per nut type) in the validation set, achieving 99.55% accuracy. Moreover, the model classified the 440 images in the test set with 100% accuracy. Conclusion This study built a nut image dataset and used it to train a neural network model to classify images by nut type. The model achieved near-perfect accuracy on the validation and test sets, demonstrating the feasibility of automating nut type classification using smartphone photos. Being made open-source, the dataset and model can assist the development of diet-tracking apps that facilitate users’ adoption and adherence to a healthy diet.
No association between infant growth and adherence to the dietary approaches to stop hypertension (DASH) diet in lactating women
Authors: Jahangir Farzaneh , Daneshzad Elnaz , Moradi Maedeh , Maraci Mohammad Reza , Surkan Pamela J , Azadbakht Leila 
Published: July 2022

Objective Breastmilk is considered an optimal food for infant development especially during the first 6 months of life. However, little evidence exists regarding maternal dietary intake and infant growth. We evaluated how adherence to the DASH diet in lactating women is associated with the infant weight, height and head circumference at birth, 2 and 4 months of age. Study design A cross-sectional study. Methods The present study was conducted with 292 lactating mothers and their infants. A validated and reliable 168-item food frequency questionnaire (FFQ) was used to assess mothers’ dietary intakes. To evaluate adherence to the DASH diet among lactating mothers, we scored food items based on the Fung method. Result Lactating mothers in the highest tertile of adherence to the DASH diet consumed significantly lower amounts of fat, cholesterol, salt, red and process meats and higher amounts of vitamin C, B1, B9, whole grains, low-fat dairy, fruits, vegetables and dietary fiber compared to lactating mothers in the lowest tertile ( P < 0.05). No significant association was found between mothers’ adherence to the DASH dietary pattern and any of the infant growth indices ( P > 0.05). Conclusion Lactating mothers’ adherence to the DASH diet was not associated with growth indices among exclusively breastfed infants.
The association of dietary intake and plasma fatty acid panel in pancreatic cancer patients: Results from Golestan cohort study
Authors: Ghamarzad Shishavan Neda , Masoudi Sahar , Mohamadkhani Ashraf , Sepanlou Sadaf G , Poustchi Hossein , Hekmatdoost Azita , Pourshams Akram 
Published: July 2022

Background & Aims High mortality rate of pancreatic cancer (PC) as one of the most common cancers worldwide made it a center of attention for recent researches on its pathology, etiology, screening and early diagnosis. In previous researches, association of dietary intake and plasma levels of fatty acids with risk of pancreatic cancer was investigated. In this study we aimed to evaluate the correlation between dietary and plasma fatty acids in case and control groups. Methods From 50,045 adults between 40–75 years old participated in Golestan cohort study, fifty incident cases of PC were diagnosed and 150 controls matched by age, sex and residence place were randomly selected. Dietary intakes and plasma levels of fatty acids was evaluated by validated food-frequency questionnaire (FFQ) and Gas Chromatography – Flame Ionization Detector (GC-FID), respectively. Then, Spearman's correlation was used to measure the correlation between dietary and plasma levels of fatty acids in case and control groups. Results Among all the fatty acids, there was a significant association between plasma and dietary intake of a few fatty acids including trans fatty acids (TFA), polyunsaturated fatty acids (PUFA), 22:6n-3 and 14:0 only in control group. Only total PUFA intake modified plasma level of some fatty acids in case group. There was no difference between association of desaturase enzymes and fatty acids in case and controls. Conclusions Since, plasma levels of fatty acids might be influenced by recent diet, we did not find any specific differences between the associations of plasma levels of fatty acids with dietary intake of fats in case and control groups.
Clozapine-specific proliferative response of peripheral blood-derived mononuclear cells in Japanese patients with clozapine-induced agranulocytosis
Authors: Saito Takeo , Usui Toru , Inada Hiroshi , Miyawaki Izuru , Mizuno Kentaro , Ikeda Masashi , Iwata Nakao 
Published: July 2022

Background: Although clozapine-induced granulocytopenia (CIG) is less severe than clozapine-induced agranulocytosis (CIA), and some patients with CIG may not go on to develop serious complications, clozapine is discontinued in cases of both CIA and CIG. Understanding the pathogenic mechanisms of CIA/CIG could provide better management of clozapine therapy. Recently, as a mechanistic insight into adaptive immune systems, European groups reported clozapine-specific proliferative responses and clozapine-specific T cells using blood taken from patients with CIA and/or CIG. Aims: The aims of our study are to support this mechanistic evidence and to investigate the difference in the lymphocyte response to clozapine between patients with CIG and those with CIA. Methods: Lymphocyte stimulation tests (LSTs) were conducted using CD25-positive cell-depleted peripheral blood-derived mononuclear cells (PBMCs) isolated from blood of four Japanese patients with CIA, four patients with CIG, and nine clozapine-tolerant subjects. Results: Three of four patients with CIA and one of four patients with CIG showed proliferative responses to clozapine with a stimulation index of greater than 2. In contrast, none of the nine clozapine-tolerant subjects showed any response to clozapine. Olanzapine did not stimulate PBMCs of patients with CIA, patients with CIG, or clozapine-tolerant subjects. Conclusions: Clozapine- and CIA-specific lymphocyte reactions in a Japanese population provided supportive evidence that the pathogenesis of CIA is based on adaptive immune reactions. In addition, patients with CIG who show a positive response to an LST may at the very least not be chosen for clozapine-rechallenge and further prospective studies are desirable to verify this hypothesis.
Diagnosis of coronavirus disease 2019 and the potential role of deep learning: insights from the experience of Cairo University Hospitals
Authors: Ahmed Marwa M. , Sayed Amal M. , El Abd Dina , El Sayed Inas T. , Elkholy Yasmine S. , Fares Ahmed H. , Fares Samar 
Published: July 2022

Objectives Early detection of coronavirus disease 2019 (COVID-19) is crucial for patients and public health to ensure pandemic control. We aimed to correlate clinical and laboratory data of patients with COVID-19 and their polymerase chain reaction (PCR) results and to assess the accuracy of a deep learning model in diagnosing COVID-19. Methods This was a retrospective study using an anonymized dataset of patients with suspected COVID-19. Only patients with a complete dataset were included (n = 440). A deep analytics framework and dual-modal approach for PCR-based classification was used, integrating symptoms and laboratory-based modalities. Results Participants with loss of smell or taste were two times more likely to have positive PCR results (odds ratio [OR] 1.86). Participants with neutropenia, high serum ferritin, or monocytosis were three, four, and five times more likely to have positive PCR results (OR 2.69, 4.18, 5.42, respectively). The rate of accuracy achieved using the deep learning framework was 78%, with sensitivity of 83.9% and specificity of 71.4%. Conclusion Loss of smell or taste, neutropenia, monocytosis, and high serum ferritin should be routinely assessed with suspected COVID-19 infection. The use of deep learning for diagnosis is a promising tool that can be implemented in the primary care setting.
Mechanical and Microstructural Properties of Meniscus Roots Vary by Location
Authors: Chang Peter S. , Solon Lorenzo F. , Lake Spencer P. , Castile Ryan M. , Hill J. Ryan , Brophy Robert H. 
Published: July 2022

Background: Despite the growing awareness of the clinical significance of meniscus root tears, there are relatively limited biomechanical and microstructural data available on native meniscus roots that could improve our understanding of why they are injured and how to best treat them. Purpose/Hypothesis: The purpose of the study was to measure the material and microstructural properties of meniscus roots using mechanical testing and quantitative polarized light imaging. The hypothesis was that these properties vary by location (medial vs lateral, anterior vs posterior) and by specific root (anteromedial vs anterolateral, posteromedial vs posterolateral). Study Design: Descriptive laboratory study. Methods: Anterior and posterior meniscus roots of the medial and lateral meniscus were isolated from 22 cadavers (10 female, 12 male; mean ± SD age, 47.1 ± 5.1 years) and loaded in uniaxial tension. Quantitative polarized light imaging was used to measure collagen fiber organization and realignment under load. Samples were subjected to preconditioning, stress-relaxation, and a ramp to failure. Time-dependent relaxation behavior was quantified. Modulus values were computed in the toe and linear regions of the stress-strain curves. The degree of linear polarization (DoLP) and angle of polarization—measures of the strength and direction of collagen alignment, respectively—were calculated during the stress-relaxation test and at specific strain values throughout the ramp to failure (zero, transition, and linear strain). Results: Anterior roots had larger moduli than posterior roots in the toe ( P = .007) and linear ( P < .0001) regions and larger average DoLP values at all points of the ramp to failure (zero, P = .016; transition, P = .004; linear, P = .002). Posterior roots had larger values across all regions in terms of standard deviation angle of polarization ( P < .001). Lateral roots had greater modulus values versus medial roots in the toe ( P = .027) and linear ( P = .014) regions. Across all strain points, posterolateral roots had smaller mean DoLP values than posteromedial roots. Conclusion: Posterior meniscus roots have smaller modulus values and more disorganized collagen alignment at all strain levels when compared with anterior roots. Posterolateral roots have lower strength of collagen alignment versus posteromedial roots. Clinical Relevance: These data findings may explain at least in part the relative paucity of anterior meniscus root tears and the predominance of traumatic posterolateral roots tears as compared with degenerative posteromedial root tears.
Long-term Results of Arthroscopic Repair of Full-Thickness Traumatic Rotator Cuff Tears in Active Duty Military Patients Under the Age of 40 Years
Authors: Scanaliato John P. , Eckhoff Michael D. , Dunn John C. , Czajkowski Hunter , Fink Walter A. , Parnes Nata 
Published: July 2022

Background: Arthroscopic rotator cuff repair is an effective procedure through which to decrease pain and increase strength, with favorable long-term outcomes demonstrated in older patient populations with full-thickness rotator cuff tears. The long-term outcomes after this procedure in younger, higher-demand patients, however, is not as clearly defined. Purpose: To report on the long-term outcomes after arthroscopic rotator cuff repair of traumatic full-thickness rotator cuff tears in active duty military patients under the age of 40 years at the time of surgery. Study Design: Case series; Level of evidence, 4. Methods: Preoperative, midterm, and final evaluations were collected, including scores on the visual analog scale for pain, Single Assessment Numeric Evaluation, and American Shoulder and Elbow Surgeons shoulder form. A total of 42 patients were screened for inclusion: 3 underwent additional surgical procedures on the operative shoulder and 2 were lost to follow-up, leaving 37 patients with mean follow-up of 104.51 months available for analysis. A subgroup analysis was performed comparing outcomes between patients with Southern California Orthopaedic Institute grade 1 or 2 tears and those with grade 3 or 4 tears. Results: At final follow-up, pain per the visual analog scale decreased to 1.16 from 8.03 ( P < .0001); the Single Assessment Numeric Evaluation score increased to 87.32 from 48.24 ( P < .0001); and the American Shoulder and Elbow Surgeons score increased to 88.68 from 41.00 ( P < .0001). There was no statistically significant difference in outcome scores or range of motion between midterm and final follow-up. Improvement in outcome scores and range of motion at final follow-up did not vary between patients with small and large tears. Of 42 patients, 37 (88.1%) were able to return to full unrestricted active duty and sporting activity, while 5 (11.9%) were medically separated from the military. Conclusion: Active duty military patients under the age of 40 years with traumatic full-thickness rotator cuff tears had statistically and clinically significant increases in outcome scores and decreases in pain after arthroscopic rotator cuff repair at long-term follow-up.
Understanding the Extent of Polypharmacy and its Association With Health Service Utilization Among Persons With Cancer and Multimorbidity: A Population-Based Retrospective Cohort Study in Ontario, Canada
Authors: Dean Tamara , Koné Anna , Martin Lynn , Armstrong Joshua , Sirois Caroline 
Published: July 2022

Background: Cancer often co-occurs with other chronic conditions, which may result in polypharmacy. Polypharmacy is associated with adverse outcomes, including increased health service utilization. Objectives: This study examines the overall prevalence of polypharmacy (5 or more medications) among adults with cancer and multimorbidity, as well as the association of both minor polypharmacy (5-9 medications) and hyper-polypharmacy (10 or more medications) on high use of emergency room visits and hospitalizations, while controlling for age, sex, and type and stage of cancer. Methods: This retrospective longitudinal study used linked health administrative databases and included persons 18 years and older diagnosed with cancer between April 2010 and March 2013 in Ontario, Canada. Data on the number of health service utilizations at or above the 90th percentile (high users), was collected up to March 2014 and multivariate logistic regression was used to determine the impact of polypharmacy. Results: The prevalence of polypharmacy was 46% prior to cancer diagnosis, and 57% one year after diagnosis. Polypharmacy prior to and after cancer diagnosis increased with the level of multimorbidity, increasing age, but did not differ by sex. It was also highest in persons with lung cancer (52.4%) and those diagnosed with stage 4 cancer (51.3%). Minor polypharmacy increased the odds of being a high user of emergency rooms (1.16; 99% CI: 1.09-1.24) and hospitalizations (1.03; 0.98-1.09) and the odds of high use was greater with hyper-polypharmacy (1.41; 1.33-1.51) and (1.23; 1.17-1.29) respectively. Conclusion: Polypharmacy is highly prevalent and is associated with high health service utilization among adults with cancer and multimorbidity