bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lake Breeze of Small Lakes in North-East Germany in COSMO-CLM simulations with non-diffusive dynamics and numerics
Authors: Will Andreas , Gupta Palash , Trachte Katja 
Published: March 2023

Abstract
We present results of analysis of simulated Lake Breeze (LB) and Land-Lake Wind (LLW) at M¨uritz Lake (100km2) and Lausitz Ostsee (22km2) in North East Germany in a series of 1 km Regional Climate Simulations (RCS) with COSMO-CLM 5.0-HOS over North-East Germany in 2006 and 2010 and discuss the requirements of modelling. We demonstrate the ability of the model to simulate LB and LLW in a physically consistent way. Best resuls are obtained for non-diffusive dynamics and numerics, no convection parameterisation and oppropriate turbulence parameterisation simulates LB and LLW at highest efficiency with respect to forcing. Higher surface heat flux or weaker horizontal and/or vertical turbulence parameterisation decrease the efficiency of generation of the phenomena. Numerical diffusion disturbes the dynamics and reduces the intensity and frequency of LB and LLW by approximately 50%. Each day of the year is associated with Small Scale Variability (SV) or Ekman Spiral (ES) regime (70-85% of days), dominated by processes independent on the land-lake contrast, or Convecitve Instability regime (15-30% of the days), characterised by relatively high ∆rΘ ≥ 10◦ and ∆rT2m > 2K values. Lake Breeze (LB) and Land-Lake Wind (LLW) regimes are found at lake locations only at 50% of days in Convective Instability regime The LLW regime (3-5% of days) at M¨uritz Lake exhibits the theoretically expected typical 10m wind direction change ∆rΘ ≃ 90◦ and 2m temperature difference between land and lake of 6.9 K. We found a limitation of ∆rT2m ∼ −0.2vg for geostrophic wind vg ≥ 6m/s and an exponential increase of ∆rΘ ∼ exp(∆rT2m) with 2m temperature difference in all regimes.
Ultrasonic Identification of Polymyalgia Rheumatica and Frozen Shoulder
Authors: LIU CHENGWEI , YAN TINGTING , SUN WEIQI , REN YANXIA , SONG DANDAN , ZHOU XINWEI , XU HONGWEI , YE QIAO 
Published: March 2023

Abstract
Objective/Background: Polymyalgia rheumatica (PMR) shoulder involvement and frozen shoulder (FS) are two diseases with similar clinical features. In this study, the shoulder joint ultrasound of patients with PMR and FS was analysed to explore the differential diagnosis of the two ultrasound imaging problems.
Methods: PMR patients diagnosed from July 2020 to April 2022 were reviewed, and a 1:1 case‒control study was conducted with FS patients diagnosed simultaneously according to their age±3 years.
Results: The eligible samples were finally screened from 169 PMR patients and matched 1:1 from 367 FS patients according to their age ±3 years. Finally, 23 groups of patients were included, and a total of 92 shoulder joints were analysed. There were 34 females (73.91%) and 12 males (26.09%), with a mean age at inclusion of 70 [63.25, 75] years. There were significant differences in sex (P=0.017), erythrocyte sedimentation rate (p < 0.001) and C-reactive protein (p < 0.001) between the two groups. Ultrasonographic characteristics showed that the incidence of subacromial-subdeltoid (SASD) bursitis (P =0.009) in PMR patients was significantly increased. Glenohumeral (GH) synovitis was more common in FS patients (P=0.013). Axillary pouch thickness had a certain advantage in the diagnosis of FS, but not PMR, with an area under the AUC of 0.827 (P < 0.001). The cut-off value was 2.85 mm, the diagnostic sensitivity was 82.61%, and the diagnostic specificity was 78.26%.
Conclusions: There were some differential differences in the ultrasound features of PMR and FS. These results may provide valuable clues for the differential diagnosis.
Clustering Algorithm Based on Dual-Index Nearest Neighbor Similarity Measure and Its Application in Gene Expression Data Analysis
Authors: li zongjin , song ChangXin , Yang Jiyu , Jia Zeyu , Yan Chengying , Tian Liqin , Wu Xiaoming 
Published: March 2023

AbstractBackground The critical step in analyzing gene expression data is to divide genes into co-expression modules using module detection methods. Clustering algorithms are the most commonly employed technique for gene module detection. To obtain gene modules with great biological significance, the choice of an appropriate similarity measure methodology is vital. However, commonly used similarity measurement may not fully capture the complexities of biological systems. Hence, exploring more informative similarity measures before partitioning gene co-expression modules remains important. Results In this paper, we proposed a Dual-Index Nearest Neighbor Similarity Measure (DINNSM) algorithm to address the above issue. The algorithm first calculates the similarity matrix between genes using Pearson correlation or Spearman correlation. Then, nearest neighbor measurements are constructed based on the similarity matrix. Finally, the similarity matrix is reconstructed. We tested the six similarity measurement methods (Pearson correlation, Spearman correlation, Euclidean distance, maximum information coefficient, distance correlation, and DINNSM) by using four clustering algorithms: K-means, Hierarchical, FCM, and WGCNA on three independent gene expression datasets. The cluster evaluation was based on four indices: the Silhouette index, Calinski-Harabaz index, Adjust-Biological homogeneity index, and Davies-Bouldin index. The results showed that DINNSM is accurate and can get biologically meaningful gene co-expression modules. Conclusions DINNSM is better at revealing the complex biological relationships between genes and helps to obtain more accurate and biologically meaningful gene co-expression modules.
ICG fluorescence in restorative proctocolectomy with ileal J-pouch anal anastomosis after mesenteric lengthening: go green or go home.
Authors: Ghignone Federico , Pasini Francesco , Taffurelli Giovanni , Zattoni Davide , Mazzotti Federico , Frascaroli Giacomo , Ugolini Giampaolo , Montroni Isacco 
Published: March 2023

Abstract
Purpose
Restorative proctocolectomy (RPC) with ileal pouch-anal anastomosis (IPAA) is a challenging procedure. Anastomotic leak and intraoperative pouch abandonment are among the most feared complications and could both be related to inadequate pouch perfusion, especially after lengthening maneuvers. Near-infrared fluorescence imaging (NIR-FI) has been used as a confirmatory technology to assess bowel viability before anastomosis creation. The aim of this article was to present a case series in which NIR-FI was used to reveal an adequate blood supply to macroscopically hypoperfused ileal pouches.
Methods
This was a retrospective report of prospectively recorded outcomes of patients who underwent pouch creation and experienced intraoperative hypoperfusion after elongation maneuvers, requiring NIR-FI in order to avoid pouch abandonment.
Results
Thirty patients underwent RPC and IPAA between 2018–2021; six patients presented with intraoperative macroscopic ileal hypoperfusion after elongation maneuvers; however, following NIR-FI assessment, they successfully underwent pouch creation with minor postoperative complications. After both pouchoscopy and a pouchgram, all patients underwent ileostomy closure within 3 months from the index surgery. Nine months after the pouch creation, no complications were observed, and all patients reported a satisfactory quality of life.
Conclusions
This small series showed the utility of NIR-FI technology not just as a confirmatory tool but also as a determinant in the case of macroscopic hypoperfusion allowing surgeons to have a better understanding of the blood supply and to avoid pouch abandonment.
Aptamer-based Colorimetric and Lateral Flow Chromatographic Strip detection of Aflatoxin B 1 in corn Samples
Authors: wang yafang , Song Ziyao , Zhao Zhan , Ren Wenjie , He Baoshan 
Published: March 2023

Abstract
In this paper, gold nanoparticles were combined with aflatoxin B1-aptamer as a single probe via the specific binding between aflatoxinB1 with aptamer, designing a colorimetric detection method. Meanwhile, a chromatographic strip with gold nanoparticles modified by complementary chains of aflatoxin B1 aptamer as the probe was developed for rapid detection of aflatoxin B1. Under the optimal conditions, the linear detection range of the colorimetric method was 0.5–50 ng/mL, the minimum detection limit was 0.5 ng/mL, the detection range of the chromatographic strip was 0.5–500 ng/mL, the minimum detection limit was 0.5 ng/ mL, and the semi-quantitative limit of detection was 51 ng/ml. Finally, comparing the two methods, it is concluded that chromatographic strip detection is more sensitive, accurate and celerity. Sample recovery rate of the latter was from 97.3–120%. All detections could be accomplished within 10 min, indicating that the test strip could be a potentially effective tool for rapid on-site detections.
The Construction and Preliminary Validation of a New Pictorial Materialism Test for 4–6-year-old Children
Authors: Trzcińska Agata , Kubicka Karolina , Podsiadłowski Wojciech 
Published: March 2023

Abstract
The goal of this project was to develop and validate a new instrument that reliably measures materialism in preschool children (4–6 years old). A simple and universal Pictorial Materialism Test (PMT) was created and then its psychometric properties were evaluated. The PMT consists of 32 items reflecting two dimensions: acquisition as the pursuit of happiness and success defined by possessions. To examine the psychometric properties of the PMT, 204 children aged 4–6 years participated in the study. To examine the reliability of the PMT, we calculated the internal consistency, confirmatory factor analysis (CFA), and test–retest intra-class correlation. To determine the convergent validity of the PMT, correlations with another measure of children's materialism (Happiness Collage) and with age were examined. Results confirmed that materialism can be reliably reported by preschool children and that the PMT has satisfactory (albeit moderate) psychometric properties, but requires further validation studies. Nonetheless, the instrument developed in this project is promising for further research because it is universally applicable and has the potential to be used in research on materialism in preschool children around the world.
JEL codes: A13, C18, D12
Multi-objective Harris Hawk Algorithms for the Diagnosis of Parkinson's Disease
Authors: Dokeroglu Tansel 
Published: March 2023

Abstract
This study proposes new binary Harris Hawk Optimization algorithms for diagnosing Parkinson's disease. New exploration and exploitation operators are developed, and a K-Nearest Neighbour classifier that adapts to the given dataset is employed. A parallel version of the algorithm implemented using Message Passing Interfaces is proposed for large problem instances where the fitness evaluation is time-consuming. Comparisons with state-of-the-art genetic, particle swarm, binary bat, cuckoo search, and grey wolf algorithms verified that our proposed algorithms are the best methods in the literature on average in terms of prediction accuracy values. In total, a 32.5% reduction is achieved in the number of features of all datasets. We report new best solutions for the first time in literature. For three datasets out of four, we outperformed state-of-the-art algorithms.
Data quality in the spotlight: a Hybrid-LCA approach to evaluating reported corporate carbon footprints
Authors: Huidobro Jaime Oliver , Tamarít Ignacio , Lipari Francesca 
Published: March 2023

Abstract
Global warming is a substantial issue, and addressing it requires robust data on corporate environmental performance. However, there is still an information gap in indirect emissions — particularly Scope 3 emissions — due to the small number of reporting companies, greenwashing practices, and methodological differences across reports. In this study, we propose a new Hybrid-LCA approach for estimating corporate Scope 3 emissions for a large universe of companies following the Greenhouse Gas Protocol framework. Our approach recovers expected trends in emissions while maintaining the comparability and transparency needed for decision-making. Moreover, we observe an asymmetric bias with respect to self-reported data from the Carbon Disclosure Project. Our analysis indicates that this bias is partially related to poor environmental management practices in firm disclosures, which we proxy by factoring in the verification status of firms' reports. This work calls for greater scrutiny in Scope 3 reporting to ensure the accuracy of emission data and promote better environmental management practices.
A machine learning model to predict the histology of retroperitoneal lymph node dissection specimens
Authors: Nitta Satoshi , Kojima Takahiro , Gido Masanobu , Nakagawa Shota , Kakeya Hideki , Kandori Shuya , Kawahara Takashi , Mathis Bryan J. , Kawai Koji , Negoro Hiromitsu , Nishiyama Hiroyuki 
Published: March 2023

Abstract

Background
While post-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) benefits patients with teratoma or viable germ cell tumors (GCT), it becomes overtreatment if necrosis is detected in PC-RPLND specimens. Serum microRNA-371a-3p correctly predicts residual viable GCT with 100% sensitivity but residual teratoma in PC-RPLND specimens using current modalities remains difficult. Therefore, we developed a machine learning model using CT imaging and clinical variables to predict the presence of residual teratoma in PC-RPLND specimens.
Methods
We included 58 patients who underwent PC-RPLND between 2005 and 2019 at the University of Tsukuba Hospital. On CT imaging, 155 lymph nodes were identified as regions of interest (ROIs). The ResNet50 algorithm and/or Support Vector Machine (SVM) classification were applied and a nested, 3-fold cross-validation protocol was used to determine classifier accuracy.
Results
PC-RPLND specimen analysis revealed 35 patients with necrosis and 23 patients with residual teratoma while histology of 155 total ROIs showed necrosis in 84 ROIs and teratoma in 71 ROIs. The ResNet50 algorithm, using CT imaging, achieved a diagnostic accuracy of 80.0%, corresponding to a sensitivity of 67.3%, a specificity of 90.5%, and an AUC of 0.84 while SVM classification using clinical variables achieved a diagnostic accuracy of 74.8%, corresponding to a sensitivity of 59.0%, a specificity of 88.1%, and an AUC of 0.84.
Conclusions
Our machine learning models reliably distinguish between necrosis and residual teratoma in clinical PC-RPLND specimens.
Efficacy and safety of venetoclax based combination therapy for previously untreated acute myeloid leukemia: a meta-analysis
Authors: He Hongbo , Wen Xiaojia , Zheng Huyong 
Published: March 2023

Abstract

Purpose To explore the efficacy and safety of venetoclax based combination therapy for older patients with de novel AML.
Methods We performed a systematic review and meta-analysis of clinical trials regarding the venetoclax plus HMAs or LDAC compared with mono-HMAs or LDAC therapy. The random-effect model or fixed-effect model was applied to the study based on heterogeneity. Dichotomous and data were summarized using the risk ratio (RR) and 95% confidence interval (CI). Continuous variable data were reported as weighted mean difference (WMD).
Result Nine studies with total number of 1232 patients were included in this meta-analysis. The CR/CRi rate of venetoclax(Ven) + azacytidine (Aza) group significantly higher than monotherapy Aza group (RR: 2.42; 95% CI: 1.85–3.15; P<0.001). Similarly, the CR/CRi rate of Ven + low-dose cytarabine (LDAC) group also significantly higher than monotherapy LDAC group (RR: 2.57; 95% CI: 1.58–4.17; P=0.00). The same results showed about OS among these groups. However, Ven + Aza group demonstrated the higher febrile neutropenia incidence rate than Ven + Decitabine (Dec) or monotherapy Aza group (RR: 0.69; 95% CI: 0.53–0.90; P=0.006 and RR: 2.19; 95% CI: 1.58–3.03; P<0.001), respectively. In addition, Ven + LDAC group has much higher constipation, diarrhea, nausea, vomiting incidence rates than monotherapy LDAC group, with significantly difference, RR and CIs were 0.61 (95% CI 0.44–0.83, P=0.002), 1.81 (95% CI 1.22–2.67, P=0.003), 1.39 (95% CI 1.06–1.82, P=0.016), 1.80 (95% CI 1.19–2.72, P=0.005) respectively.
Conclusion Venetoclax combined with either azacitidine or decitabine or LDAC significantly improved CR/CRi and OS for previously untreated AML. However, venetoclax plus azacitidine or LDAC was more likely to lead to increased febrile neutropenia and gastrointestinal toxicities.
scMultiSim: simulation of multi-modality single cell data guided by cell-cell interactions and gene regulatory networks
Authors: Li Hechen , Zhang Ziqi , Squires Michael , Chen Xi , Zhang Xiuwei 
Published: March 2023

Abstract
Simulated single-cell data is essential for designing and evaluating computational methods in the absence of experimental ground truth. Existing simulators typically focus on modeling one or two specific biological factors or mechanisms that affect the output data, which limits their capacity to simulate the complexity and multi-modality in real data. Here, we present scMultiSim, an in silico simulator that generates multi-modal single-cell data, including gene expression, chromatin accessibility, RNA velocity, and spatial cell locations while accounting for the relationships between modalities. scMultiSim jointly models various biological factors that affect the output data, including cell identity, within-cell gene regulatory networks (GRNs), cell-cell interactions (CCIs), and chromatin accessibility, while also incorporating technical noises. Moreover, it allows users to adjust each factor's effect easily. We validated scMultiSim’s simulated biological effects and demonstrated its applications by benchmarking a wide range of computational tasks, including cell clustering and trajectory inference, multi-modal and multi-batch data integration, RNA velocity estimation, GRN inference and CCI inference using spatially resolved gene expression data. Compared to existing simulators, scMultiSim can benchmark a much broader range of existing computational problems and even new potential tasks.
The association between diverticular rebleeding and early morning blood pressure and surge: a prospective observational trial
Authors: Arai Junya , Niikura Ryota , Yamada Atsuo , Aoki Tomonori , Suzuki Nobumi , Tsuji Yosuke , Hayakawa Yoku , Kawai Takashi , Fujishiro Mitsuhiro 
Published: March 2023

Abstract
Aim
Colonic diverticular bleeding is the major cause of lower gastrointestinal bleeding. Hypertension is a major risk factor for diverticular rebleeding. Direct evidence of an association between actual 24 h blood pressure (BP) and rebleeding is lacking. We analyzed the association between 24 h BP and diverticular rebleeding.
Methods
We performed a prospective observational cohort trial involving hospitalized patients with colonic diverticular bleeding. We performed 24 h blood pressure measurements (ABPMs) in the patients. The primary outcome was diverticular rebleeding. We evaluated the 24 h BP difference and the morning and pre-awaking BP surge between rebleeding and non-rebleeding patients. Morning BP surge was defined as early morning systolic BP minus the lowest night systolic BP > 45 mm Hg (highest quartile of morning BP surge). The pre-awaking BP surge was defined as the difference between morning BP and pre-awaking BP.
Results
Of 47 patients, 17 were excluded, leaving 30 who underwent ABPMs. Of the 30 patients, 4 (13.33%) had rebleeding. The mean 24 h systolic and diastolic blood pressure were 125.05 and 76.19 mmHg in rebleeding patients and 129.98 and 81.77 mmHg in non-rebleeding patients, respectively. Systolic BP at 5:00 (difference − 23.53 mmHg, p = 0.031) and 11:30 (difference − 31.48 mmHg, p = 0.006) was significantly lower in rebleeding patients than non-rebleeding patients. Diastolic BP at 2:30 (difference − 17.75 mmHg, p = 0.023) and 5:00 (difference − 16.12 mmHg, p = 0.043) was significantly lower in rebleeding patients than non-rebleeding patients. Morning surge was observed in one rebleeding patient and no non-rebleeding patients. The pre-awaking surge was significantly higher in rebleeding patients (28.44 mmHg) than in non-rebleeding patients (9.30 mmHg) (p = 0.015).
Conclusion
Lower BP in the early morning and a higher pre-awaking surge were risk factors for diverticular rebleeding. A 24 h ABPM can identify these BP findings and reduce the rebleeding risk by enabling interventions in diverticular bleeding patients.
Competency Assessment on Gram Stain Examination and Interpretation among Medical Laboratory Professionals Working in Selected Hospitals of Addis Ababa, Ethiopia
Authors: Tsehay Adugna , Sineshaw Helmneh , Eshetu Kirubel , Gize Addisu , Ayele Samuel , Mihret Adane , Desta Kassu 
Published: March 2023

Abstract

Background
Laboratory test results are the cornerstone for patient diagnosis and treatment. Gram staining is one of the classic laboratory test methods actively in use to differentiate bacteria. Competence assessment could help to identify gaps and make suggestions to academicians, researchers, and policy makers to address competency gaps. In Ethiopia, no evidence about competency assessment of medical laboratory professionals on gram staining technique was available.
Results
From 190 participants, 55(28.9%) participants scored low knowledge, 131(68.9%) scored medium knowledge and only 4(2.1%) respondents scored high knowledge. Forty eight (25.3%), 78(41%) and 64(33.7%) participants scored low, medium and high skill level from a total of 190 participants, respectively. There were 44 observations (4%) with major errors and 321 observations (28%) with very major errors from all 1140 observations. Of all observations 321(28.2%) reported without grading, 39 observations (3.4%) reported gram positive bacteria as gram negative bacteria and 15 observations (1.4%) reported gram negative bacteria as gram positive bacteria.
Conclusion
Most medical laboratory professionals are working without supervision and refresher training on gram stain examination and interpretation. Hence, the knowledge level and skill level of medical laboratory professionals are not satisfactory. Regular competence assessment, training and follow up are necessary to improve medical laboratory professional competence.
Low temperature magnetic 2D Majorana and Dirac fermions excitations in La 0.15 Sm 0.85 MnO 3+δ manganites
Authors: Bukhanko F. N. 
Published: March 2023

Abstract
The possibility of excitation of Majorana and massless Dirac fermions in self-doped manganites controlled by an external magnetic field is established. It is shown that in the ZFC mode of magnetization measurement, the excitation of Majorana fermions dominates, while in the FC mode the main contribution to the supermagnetization of the sample is made by the excitation of Dirac fermions. During remagnetization of La0.15Sm0.85MnO3+δ manganites at 4.2 K, the single and double cones-like features of M(H) were found near H = 0 in the magnetization reversal isotherms. These peculiarities of magnetization demonstrate the evolution of the Dirac fermions magnetic excitations at quantum phase transitions in the 2D Dirac semimetal, induced by the merging and splitting of two Dirac points. In the weak magnetic fields H = 100 Oe, 350 Oe and 1 kOe the continuous spectrum of the thermal excitations of spinons in interval temperature 4.2-12 K is divided into three Landau bands with numbers n = 1, n = 2, and n = 3 with two specific features of magnetization M(T) in the shape of alternating double peaks and truncated Dirak cones with different splittings ΔT between components, controlled by external magnetic field and temperature. These new unusual features of magnetic quantum oscillations in La0.15Sm0.85MnO3+δ are characteristic of excitations of 2D Majorana and Dirac fermions in two hidden topological states of chiral spin liquid.
PACS: 75.47.Gk, 75.30.Et, 75.30.Kz, 75.47.Lx