bluuebunny/crossref_metadata_2025 huggingface dataset:
Predictive modeling of ungulate–vehicle collision in the Republic of Korea
Authors: Kim Kyungmin , Andersen Desiree , Jang Yikweon
Published: April 2023

Context
Studies of ungulate–vehicle collision (UVC) may suffer from inadequate or scattered datasets, due to difficulties in acquiring data over vast temporal and spatial scales. Predictive modeling on UVC using a reliable data is useful to reduce the collisions.
Objectives
This study aims to understand spatial and temporal UVC characteristics by examining various parameters related to habitat, traffic, and seasonality using a UVC dataset that may be regarded as near-complete UVC data covering all road types across the Republic of Korea.
Methods
A total of 25,755 UVC points were collected between 2019 and 2021 using a standardized method by over 5,000 road menders in the Republic of Korea. Seasonal UVC predictive models of three ungulate species, Capreolus pygargus, Hydropotes inermis, and Sus scrofa, were generated using a machine-learning algorithm software, MaxEnt.
Results
The results showed that the peak UVC seasons coincided with the most active seasonal behaviors of the studied ungulates. In C. pygargus, habitat variables are most important for models across seasons, and UVC events are most likely to occur in high mountain chains. In H. inermis, habitat and traffic variables are most important for models across seasons. Although the important habitat for the models were different across seasons for S. scrofa, the maximum speed was consistently critical for models across all seasons.
Conclusions
Factors critical for UVC in the Republic of Korea were different for all three ungulate species and across seasons, indicating that seasonal behavior should be considered along with landscape and traffic features to mitigate UVC.
H19/Mir-130b-3p/Cyp4a14 potentiate the effect of praziquantel on liver in the treatment of Schistosoma japonicum infection
Authors: Ma Rui , Liu Qiang , Liu Zi-Mao , Sun Xu , Jiang Xin-Ze , Hou Jiang-Shan , Zhang Yu-Mei , Wu Yu-Long , Cheng Mei , Dong Zhou-Yan
Published: April 2023

Background
Schistosomiasis is a prevalent infectious disease caused by the parasitic trematodes of the genus Schistosoma. Praziquantel (PZQ), which is safe and affordable, is the recommended oral treatment for schistosomiasis. Schistosoma japonicum is the major species that cause liver damage. However, RNA molecules and their interaction that play critical roles in the effect of PZQ on the liver after S. japonicum infection remain elusive.
Results
In this study, C57BL/6 mice were randomly divided into 3 groups: the Control group, infection group (SJ), and PZQ treatment group (SE). The total RNA was extracted from the liver of mice. High-throughput whole transcriptome sequencing was performed to detect the RNA expression profiles in three groups. A co-expression gene-interaction network was established based on significant differently expressed genes in PZQ treatment, and mRNA Cyp4a14 was identified as a critical hub gene. Furthermore, ceRNA network were constructed by predicting the specific binding relations among mRNA-lncRNA, and lncRNA-miRNA of Cyp4a14, suggesting a potential regulatory axis H19/miR-130b-3p/Cyp4a14. Dual luciferase reporter assay result proved the specific binding of miR-130b-3p to Cyp4a14 3'UTR.
Conclusions
Our findings indicated that the H19/Mir-130b-3p/Cyp4a14 axis might involve in the effect of PZQ on the liver after S. japonicum infection, and the expression of mRNA Cyp4a14 could be regulated by miR-130b-3p through binding with the 3’UTR of Cyp4a14. The findings in the present study providing a new view to understand the host response to PZQ against S. japonicum in the future.
Synthesis, and biological evaluation of EGFR/HER2-NAMPT conjugates for tumor treatment
Authors: Ding Mengyuan , Shen Qianqian , Lu Wei , Zhu Shulei
Published: April 2023

Throughout the reported applications of EGFR inhibitors, it is usually employed with HDAC or other targets to design multi-target inhibitors for cancer treatment. In this paper, we designed a drug conjugate that targeted EGFR&HER2 and had inhibitory activity of NAMPT simultaneously. Compound 20c significantly inhibited the EGFR&HER2 and NAMPT enzyme activities, and had comparable or even higher anti-proliferative activity than lapatinib in various cancer cells with over-expressed EGFR and HER2. Importantly, 20c was expected to overcome resistance to traditional EGFR inhibitors, so as to obtain better curative effect. This strategy is a promising method of embedding multiple pharmacophores into a single molecule, which lays a good foundation for the design and synthesis of small molecule drug conjugates with strong targeting ability and high cytotoxicity.
Large mesenchymal cystic and chondroid pulmonary hamartoma mimicking lung cancer: Case report
Authors: Ahn Seha , Lee Heejin , Kang Joon Kyu , Kim In Sub , Moon Youngkyu , Choi Jung Suk , Choi Si Young
Published: April 2023

Pulmonary hamartoma is the most commonly resected benign neoplasm of lung. The mesenchymal cystic subtype is a rare and often bilaterally occurring variant composed of multiple cysts and nodules. Herein, we present an asymptomatic 70-year-old woman with a large and mostly cystic growth of right hilar region. Computed tomography of the chest and fluorodeoxyglucose positron emission tomography/computed tomography imaging traced its origins to right middle lobe. Overall features suggested primary lung cancer or perhaps other cystic lung disease. Because transbronchial lung biopsy failed to establish a histologic diagnosis, right middle lobectomy was undertaken by video-assisted thoracoscopic surgery. The gross surgical specimen harbored a single and sizeable (8.0 × 4.0 cm) cystic lesion containing multiple yellow-white nodules. A diagnosis of mesenchymal cystic and chondroid hamartoma was ultimately rendered. This particular case is noteworthy, given the initial clinical resemblance to primary lung cancer.
Machine and Deep Learning Methods for Predicting Preterm Births from EHG Signals
Authors: Raghavan Dharini , H Adithya H , S Raghuram , V Suma K V K , Kulhalli Tricha
Published: April 2023

According to the WHO, more than 15 Million babies are born before the full period of the pregnancy. Preterm childbirth is the leading cause of mortality in children less than five years old: in 2015 it was responsible for 1 Million deaths in this age group. While preterm birth is not related to any particular genetic lineage, among the preterm births, only 10 % result in moralities in high-income settings, while the mortality of preterm births in low income countries is as high as 90 %. Detecting preterm cases allows for improved care of the developing foetus via medication, additional care at home for the expectant individual , or even hospitalization for the remaining period of the pregnancy. However, the populations in low income countries also suffer from a lack of access to a systematic healthcare system, leading to preterm births not being detected proactively. Machine learning techniques have a high potential to improve this situation, by providing an automated framework for the detection of critical cases, and thereby providing an alert to the individual, requiring further follow up with medical professionals. In this work, we investigate Machine and Deep Learning ML for EHG Signals techniques for analyzing uterine electrical signals, in particular the Elec-trohysterogram signal, to detect cases of preterm childbirth. A range of machine learning models including Support Vector Machines, Logistic Regression and Decision trees along with Deep Neural Networks such as Convolutional Neural Networks and LSTMs are trained on samples from the TPEHG dataset. We also construct an ensemble of several neural networks and binary classifiers using plurality voting and train them for EHG signal classification. Across all the methods, best results were obtained with the ensemble machine learning classifier, giving an accuracy as high as 98.99 %, sensitivity of 98.3% and specificity of 97.9%.
The Economics of the Global Minimum Tax1
Authors: Schjelderup Guttorm , Stahler Frank
Published: April 2023

This paper shows that the OECD inclusive framework of Pillar Two fails to implement the claimed 15% minimum corporate tax for subsidiaries of multinational corporations. The reason is that the Substance-based Income Exclusion of Pillar Two allows to tax-deduct payroll costs and user costs of intangible assets twice from the tax base of the top-up tax. Employing a standard multinational firm model, we show that Pillar Two dampens tax motivated transfer pricing, but changes the employment, investment and import incentives. For a sufficiently large cost share of labor and/or capital, the Substance-based Income Exclusion is equivalent to a production subsidy. Keywords: Corporate taxation, BEPS, Pillar~Two, minimum tax.
JEL Classification: F23, F55, H25, H73.
The influence of partner presence on cooperation and norm formation
Authors: Kang Chunyan , Chen Hongyao , Teng Deling , Mao Meifang , Shen Yunyun , Gan Tian , Hou Gonglin
Published: April 2023

Previous studies have shown that the presence of others makes people more norm-compliant and behave more cooperatively in economic games. As important others who have interdependent relationship with the individual, the influence of the presence of partners on individual’s behavior has been overlooked. In this study, we used the repeated public goods game to examine how the presence of partners affects individual’s cooperative behavior and group’s norm formation in both no-punishment and punishment situations among 42 groups of four anonymous players (N = 168). The results of Generalized Estimating Equations showed that in the absence of punishment, the presence of partners significantly improved participants’ average level of cooperation but did not promote the formation of group norms, whereas when punishment was available, partner presence changed the way punishment being administered and in turn strengthened group norms and encouraged more consistent cooperative behavior. The effects of mere partner presence and its interaction with punishment on cooperation and norm formation were discussed.
Influence of the Inner Channels in Tetragonal Lysozyme Crystals on the Dissolution Shapes Formation
Authors: Tsekova Daniela
Published: April 2023

Protein molecules, although big and complicated structures, arrange into ordered crystal formations, but at specific only conditions, related to pH, additives and temperature. Truly, their crystallization is still more art than science and conditions relating their behavior to the known rules of crystal growth and dissolution are under investigation. This study is devoted to dissolution and more precise - the influence of undersaturation on the habitus of the dissolving tetragonal lysozyme crystals. Experiments described reveal that the morphologies of the dissolving crystals at low and high levels of undersaturations go through wholly different habitus. Rounding and diminishing the crystal happens at low undersaturation. Dissolution at higher undersaturation revealed development of ribbed crystal habitus, never noticed for dissolving low molecular weight crystals. Its formation could be explained with specific distribution of energetic places on the crystal surface. Existence of such energetic places is conditioned by inner channels passing through the crystal. A model relating these channels distribution and shapes observed during dissolving is presented.
Imaging, pathology, and diagnosis of solitary fibrous tumor of the pancreas: a literature review
Authors: Wang Wenwen , Zhou Shuping , Wu Xiang , Wang Luoluo , Ruan Yi , Lu Jun , Li Haili , Ni Xuling , Qiu Lili , Zhou Xinhua
Published: April 2023

Background
Solitary fibrous tumor (SFT) is often located in the pleura, while SFT of the pancreas is extremely rare. Here, we report a case of SFT of the pancreas and discuss imaging, histopathology, and immunohistochemistry for accurate diagnosis and treatment.
Case presentation
A 54-year-old man presented to our hospital with pancreatic occupancy for over a month. There were no previous complaints of discomfort. His blood pressure was normal. Blood glucose, tumor markers, and enhanced computed tomography (CT) suggested a malignant tumor. Because the CT appearance of pancreatic cancer varies, we could not confirm the diagnosis; therefore, we performed a puncture biopsy under ultrasound endoscopy. Pathology and immunohistochemistry were consistent with SFT of the pancreas. The postoperative pathology and immunohistochemistry were consistent with the puncture results. The patient presented for a follow-up examination one month after discharge with no adverse effects.
Discussion
Other diseases must be excluded in patients with a pancreatic mass that cannot be diagnosed. CT and pathological histology have diagnostic value for pancreatic tumors. Endoscopic puncture biopsy under ultrasound can help diagnose pancreatic masses that cannot be diagnosed preoperatively. Surgery is an effective treatment for SFT of the pancreas; however, long-term follow-up is strongly recommended because of the possibility of malignant transformation of the tumor.
Spatial and risk factor analyses of vector-borne pathogens among shelter dogs in the eastern United States
Authors: Hazelrig Corinna M. , Gettings Jenna R. , Cleveland Christopher A. , Varela-Stokes Andrea , Majewska Ania A. , Hubbard Kris , Burton K. Wade , Yabsley Michael J.
Published: April 2023

Background
Vector-borne infections pose significant health risks to humans, domestic animals, and wildlife. Domestic dogs (Canis lupus familiaris) in the United States may be infected with and serve as sentinel hosts for several zoonotic vector-borne pathogens. In this study, we analyzed the geographic distribution, risk factors, and co-infections associated with infection with Ehrlichia spp., Anaplasma spp., Borrelia burgdorferi, and Dirofilaria immitis in shelter dogs in the eastern United States.
Methods
From 2016–2020, blood samples from 3,750 shelter dogs from 19 states were examined with IDEXX SNAP® 4Dx® Plus tests to determine prevalence of infection with tick-borne pathogens and infection with D. immitis. We assessed the impact of factors including age, sex, intact status, breed group, and location on infection using logistic regression.
Results
Regional variation in detection prevalence was noted: D. immitis (17.4%, n = 355/2,036) and Ehrlichia spp. (10.7%, n = 217/2,036) were highest in the Southeast while prevalence for B. burgdorferi (19.3%, n = 143/740) and Anaplasma spp. (5.7%, n = 42/740) were highest in the Northeast. Overall, 4.8% (n = 179/3,750) of dogs had co-infections, the most common of which were D. immitis/Ehrlichia spp. (1.6%, n = 59/3,750), B. burgdorferi/Anaplasma spp. (1.5%, n = 55/3,750), and B. burgdorferi/Ehrlichia spp. (1.2%, n = 46/3,750). Risk factors significantly influenced infection across the evaluated pathogens were location and breed group. All evaluated risk factors were significant for the prevalence of D. immitis antigens.
Conclusions
Our results demonstrate a regionally variable risk of infection with vector-borne pathogens in shelter dogs throughout the eastern United States, likely due to varying distributions of vectors. However, as many vectors are undergoing range expansions or other changes in distribution associated with climate and landscape change, continued vector-borne pathogen surveillance is important for maintaining reliable risk assessment.
An In-Vitro Experimental Investigation of Oscillatory Flow in the Cerebral Aqueduct
Authors: Sincomb Stephanie , Moral-Pulido Francisco , Campos Obed , Martinez-Bazan Carlos , Haughton Victor , Sanchez Antonio
Published: April 2023

Background: The cerebrospinal fluid filling the ventricles of the brain moves with a cyclic velocity driven by the transmantle pressure, or instantaneous pressure difference between the lateral ventricles and the cerebral subarachnoid space. This dynamic phenomenon is of particular interest for understanding ventriculomegaly in cases of normal pressure hydrocephalus (NPH). The magnitude of the transmantle pressure is small, on the order of a few Pascals, thereby hindering direct in vivo measurements. To complement previous computational efforts, we perform here, for the first time, in vitro experiments involving an MRI-informed experimental model of the cerebral aqueduct flow.
Methods: Dimensional analysis is used in designing a scaled-up model of the aqueduct flow, with physical similarity maintained by adjusting the flow frequency and the properties of the working fluid. High-resolution MRI images are used to generate a 3D-printed anatomically correct aqueduct model. A programmable pump is used to generate a pulsatile flow rate signal measured from phase-contrast MRI. Extensive experiments are performed to investigate the relation between the cyclic fluctuations of the aqueduct flow rate and the transmantle pressure fluctuation over the range of flow conditions commonly encountered in healthy subjects. The time-dependent pressure measurements are validated through comparisons with predictions obtained with a previously derived computational model.
Results: Parametric dependences of the pressure-fluctuation amplitude and its phase lag relative to the flow rate are delineated. The results indicate, for example, that the phase lag is nearly independent on the stroke volume. A simple expression relating the mean amplitude of the interventricular pressure difference (between third and fourth ventricle) with the stroke volume of the oscillatory flow is established.
Conclusions: MRI-informed in-vitro experiments using an anatomically correct model of the cerebral aqueduct and a realistic flow rate have been used to characterize transmantle pressure. The quantitative results can be useful in enabling quick clinical assessments of transmantle pressure to be made from noninvasive phase contrast MRI measurements of aqueduct flow rates. The scaled-up experimental facility provides the ability to conduct future experiments specifically aimed at investigating altered CSF flow and associated transmantle pressure, as needed in connection with NPH studies.
Humoral immunity improves with a booster dose of SARS-CoV-2 vaccine in patients with inflammatory bowel disease on immunosuppressants
Authors: Pereira Magno Luis Costa , Moreira Jessica Pronestino Lima , Pôrto Luís Cristóvão M S , Souza Vania Maria Almeida , Gonçalves Beatriz Cunta , Sampaio Amanda Barros , Moutela Matheus Figueiredo , Farha Larissa dos R , Esberard Bárbara Cathalá , Amorim Renata Fernandes , de Souza Heitor Siffert Pereira , Carvalho Ana Teresa Pugas
Published: April 2023

Purpose
Patients with inflammatory bowel disease (IBD) are often treated with immunosuppressants and immunobiologicals. We evaluated the humoral response after vaccination against SARS-Cov-2 in patients with IBD compared to a healthy population
Methods
Patients with IBD, enrolled in a tertiary outpatient unit, were followed-up with serial blood collections between September 2021 and September 2022. IgG antibody titers against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were measured before and one month after the administration of the two doses of the different vaccination regimens. The results were compared with those of a healthy control group obtained during the same period.
Results
Mean pre-vaccination antibody titers were 430.3 AU/mL and 90.5 AU/mL in the IBD (46 participants) and control (92 participants) groups, respectively. After two doses of vaccine, the titers significantly increased in both groups (IBD, 8038.4 AU/mL; control, 7697.5 AU/mL; p < 0.001). One month after the second dose, no significant difference was observed between the two groups (p = 0.731). In the IBD group, there was a difference between vaccination schemes, with higher titers in those who received Pfizer, younger patients (p < 0.005), and those with a previous COVID-19 infection (p < 0.012).
Conclusion
The use of immunosuppressants and immunobiologicals did not affect the overall humoral response to the COVID-19 vaccine in patients with IBD. However, specific vaccine regimens, age, and previous coronavirus infection significantly affected the response. This study reinforces the positive impact of booster doses and safety of SARS-CoV-2 vaccination.
Examining the Long-Run Relationship between Savings, Investment, and Economic Growth in Ethiopia: Evidence from ARDL Bounds Testing Approach
Authors: Hordofa Dereje Fedasa
Published: April 2023

In this study, the relationship between savings, investment, and economic growth in Ethiopia between 1976 and 2018 was investigated. Stationary tests were conducted and it was found that all series became stationary after the first differences. When investment was considered the dependent variable, ARDL bounds testing results suggested that there was a long-term relationship. The coefficient of the error correction term revealed that 54.1% of any short-term disequilibrium would be adjusted annually. Causality results showed a short-term causal flow from economic growth to savings, a short-term and long-term causal flow from economic growth to investment, and short-run causality from investment to economic growth. The study discovered that savings had a significant effect on investment in the long run, while economic growth had a positive but insignificant effect. Therefore, this study concluded that savings and investments have an association with real GDP, and administrative support is needed to promote them to accelerate much-needed economic growth.
A Comprehensive Study on Surveillance Outcomes of a Male Population Carrying Pathogenic/Likely pathogenic Variants associated with Hereditary Breast Cancer Syndromes at a Portuguese Tertiary Hospital
Authors: Oliveira Maria João , Costa Susy , Magalhães André , Garrido Luzia , Peleteiro Bárbara , Fougo José Luís , Castedo Sérgio
Published: April 2023

Men born with pathogenic/likely pathogenic variants in genes associated with the Hereditary Breast and Ovarian Cancer Syndrome have a higher risk to develop breast cancer and other cancers (such as prostate cancer) and should undergo adequate surveillance protocols in highly specialized Centers. A retrospective study was conducted to assess these genetic variants’ epidemiological and phenotypical manifestations in male carriers, as well as the efficacy of the surveillance protocol and compliance towards it through a survey. During follow-up, a genetic panel for testing was implemented, the starting age for surveillance was delayed, and the six-month screening interval was extended to annual. A total of 104 men from a tertiary hospital’s High-Risk Consultation were included in our study population, with positive genetic testing for BRCA1 (n = 31), BRCA2 (n = 55), both BRCA2 and another gene (n = 5), CDH1 (n = 2), CHEK2 (n = 4), NF1 (n = 1), RAD51C (n = 4) or no actionable genetic variant identified (n = 2). The follow-up period ranged from one to 13 years, and only one man developed cancer. Survey responses from 48 men in active surveillance showed that more than half of them recognizes their carrier status and consequent surveillance impact on their life, including the risk of transmission to offspring, fear of future cancer, meaningful distress, and feeling of injustice. Biannual surveillance was not actively detecting more cancer disease cases, confirming the adequacy of the currently implemented protocol. With support of Genetics to fulfill the current gaps in high-risk management, the proposed redefinition of surveillance protocol would adapt it to the population needs and concerns.
Effect of the Phase Encoding Direction on the Image Quality of Breast Diffusion-Weighted Magnetic Resonance Images
Authors: Zhao Yuanyuan , Li Yuan , Jiang Lingdong , Fu Kun , Xie Huan , Ran Qisheng
Published: April 2023

Purpose
The study aimed to evaluate the effect of reversing the phase encoding direction on the image quality of breast diffusion-weighted (DWI) magnetic resonance images (MRI).
Methods
A total of 100 patients attending our hospital for MRI breast examinations between February 2022 to July 2022 were enrolled in the study. The patients were randomly divided into the study group and the control group. The patients in the study group were scanned using the posterior-anterior (P-A) phase encoding direction, while those in the control group were scanned using the anterior-posterior (A-P) phase encoding direction. The geometric distortion rate on the axial DWI in relation to the T1-weighted images, the incidence of phase displacement artifacts, and the image signal-to-noise ratio (SNR) of the two groups were analyzed and statistically compared using either the 2 sample t-test or the Chi-square test.
Results
In the study group, the average breast stretch rate for the craniocaudal diameter was 6.75% for the right breast and 6.92% for the left breast, while the average breast stretch rate for the transverse diameter was 4.14% for the right breast and 3.79% for the left breast. In the control group, the average breast stretch rate in the craniocaudal direction was 13.82% for the right breast and 16.12% for the left breast, while the average stretch rate of the transverse breast diameter was 8.26% for the right breast and 9.56% for the left breast. The deformation rate of the study group was lower than that of the control group (PLength of right breast, PTransverse of right breast, PLength of left breast, PTransverse of left breast< 0.05). The incidence of phase displacement artifacts in the study group was lower than that of the control group (14.0% versus 62.0% p = 0.000 ). Similarly, the incidence of phase displacement artifacts in the study group was significantly lower than that of the control group (P < 0.05). The average SNR in the study group was slightly lower than that of the control group (2.30 versus 2.53, p = 0.278).
Conclusion
The P-A phase encoding direction provided a better image quality than the A-P phase coding direction, and it could facilitate the detection of breast lesions.
PSNet: Position-Shift alignment Network for image caption
Authors: Xue Lixia , Zhang Awen , Wang Ronggui , Yang Juan
Published: April 2023

Recently, Transformer-based models have gained increasing popularity in the field of image captioning. The global attention mechanism of the Transformer facilitates the integration of region and grid features, leading to a significant improvement in accuracy. However, combining two features through direct fusion may lead to inevitable semantic noise, which is caused by non-synergistic issue of the region and grid features, meanwhile, the additional detector to extract region features also decrease the efficiency of the model. In this paper, we introduce a novel Position-Shift alignment Network (PSNet) to exploit the advantages of the two features. Concretely, we embed a simple detector DETR into the model and extracted region features based on grid features to improve model efficiency. Moreover, we propose a P Shift Alignment module to address semantic noise caused by non-synergistic issue of the region and grid features. To validate our model, we conduct extensive experiments and visualization on the MS-COCO dataset, and results show that PSNet is qualitatively competitive with existing models under comparable experimental conditions.
Endothelial Dysfunction in Breast Cancer Survivors on Aromatase Inhibitors: Changes over Time
Authors: Shaaban Adnan , Petersen Ashley , Beckwith Heather , Florea Natalia , Potter David A. , Yee Douglas , Vogel Rachel I. , Duprez Daniel , Blaes Anne H.
Published: April 2023

Background
Aromatase inhibitors (AIs) are recommended as adjuvant treatment for estrogen-receptor positive breast carcinoma in postmenopausal women. Studies demonstrate mixed results as to the impact of AIs on cardiovascular (CV) events and overall survival. With the increasing number of pre- and postmenopausal women on AIs for five to ten years, understanding the long-term impact of AIs on blood vessels and CV risk in cancer survivors is vital.
Methods
A single arm longitudinal study of 14 postmenopausal women with ER+ breast cancer prescribed adjuvant AIs at the University of Minnesota. Subjects with a history of tobacco use, hypertension, or hyperlipidemia were excluded. Participants underwent routine labs, blood pressure assessments, and vascular testing at baseline (prior to starting AIs) and at six months. Vascular assessment was performed using the EndoPAT 2000 and HDI/PulseWave CR-2000 Cardiovascular Profiling System and pulse contour analysis on two occasions as previously described. Vascular measurements were conducted by one trained vascular technician. Assessments were performed in triplicate, and the mean indices were used for analyses. All subjects were on an AI at the follow-up visit. The protocol was approved by the UMN Institutional Review Board and all participants were provided written informed consent. Baseline and follow-up characteristics were compared using Wilcoxon signed-rank tests. Analyses were performed using R version 3.6.1 (R Foundation for Statistical Computing, Vienna, Austria).
Results
After six months of AI treatment, EndoPAT® ratio declined to a median 1.12 (Q1: 0.85, Q3: 1.86; p=0.045) and median estradiol levels decreased to 2 pg/mL (Q1: 2, Q3: 3; p=0.052). There was no evidence of association between change in EndoPAT® and change in estradiol level (p=0.91). There were no statistically significant changes in small or large arterial elasticity.
Conclusion
Endovascular dysfunction is an early sign for atherosclerosis and vascular impairment. This study suggests that postmenopausal breast cancer survivors on aromatase inhibitor therapy develop endothelial dysfunction as early as six months which is a predictor of adverse CV disease. We hypothesize that long-term use of AIs can lead to persistent endothelial dysfunction. It is unclear if these changes are reversible once AI use is discontinued and further investigation is necessary.
Analyzing Prediction of Depression and Anxiety on Reddit: a Multi-task Learning Approach through GMMTL
Authors: Sarkar Sarkar , Alhamadani Abdulaziz , Behal Sristhi , Alkulaib Lulwah , Lu Chang-Tien
Published: April 2023

One of the strongest indicators of a mental health crisis is how people interact with each other or express themselves. Hence, social media is an ideal source to extract user-level information about the language used to express personal feelings. In the wake of the ever-increasing mental health crisis in the United States, it is imperative to analyze the general well-being of a population and investigate how their public social media posts can be used to detect different underlying mental health conditions. For that purpose, we propose a study that collects posts from "reddits" related to different mental health topics to detect the type of the post and the nature of the mental health issues that correlate to the post. The task of detecting mental health related issues indicates the mental health conditions connected to the posts.However, it is also important to be able to detect unnecessary post that are directly talking about the topic of interest. To achieve this, we expand our multi-task learning model that leverages, for each post, both the latent embedding space of words and topics for prediction with a message passing mechanism enabling the sharing of information for related tasks. We train the model through an active learning approach in order to tackle the lack of standardized fine-grained label data for this specific task. We further add control group in the dataset to detect non-mentalhealth related post. Finally, we conduct a case study to show what are the important features in different mental health condition predictions.
WITHDRAWN: A* Path Finding Algorithms Based Designing the Best Possible Eco-Friendly Structure Spatial Landscape and Natural Setting
Authors: Imran Izazul Hoq , Das Tropa , Galib Asadullah Hel , Reza Ahmed Wasif
Published: April 2023

The design of conventional architectural landscapes often has issues with inadequate direct visual effects and inadequate levels of resident satisfaction, but the design of green architectural landscapes typically does not have these issues. Creating room for landscaping is likewise an impractical endeavor. Because of this, the authors of this study suggest a number of different Path-finding algorithms for green building landscape space and environmental optimization design. A variety of path-finding algorithms may be used to maximize the multi-objective scale of the architectural landscape. The expense of the construction as well as public utilities such as the space environment are included among the optimization's goals and objectives. The findings indicate that the many pathfinding solutions that were presented are able to optimize the architectural landscape setting, and the occupants' level of happiness has increased as a consequence.
Changes in CSR Ecological Strategies of Plants and Communities Following the Introduction and Restoration of Woody Plants in Semi-arid Damaged Steppe Grasslands
Authors: Kim Eui-Joo , Lee Seung-Hyuk , Park Jae-Hoon , Park Ji-Won , Lee Jung-Min , Kim Yoon-Seo , Kim Se-Hee , Joo Sung-Bae , Cho Kyung-Mi , You Young-Han
Published: April 2023

Hulunbuir steppe, one of the four largest grasslands in the world, is suffering progressing desertification due to climate change and anthropogenic disturbance. In this study, the plant species and communities were analyzed with CSR ecological strategies for the succession process that occurred following the introduction of woody plants in the restored site in the damaged steppe, and compared with those in the reference site in an attempt to find the lifeform characteristics of plants in grasslands and implications for success in ecological restoration. According to the results, the introduction of woody plants into the damaged land greatly increased the diversity of plant species and CSR eco-functional diversity as the succession progressed. The types of ecological strategies of the temperate typical steppe (TTS) and woodland steppe (WS) in this region are CSR and S/SR, respectively, which means that plants in the temperate Asian steppe are species basically adapted to natural disturbances such as drying and soil movement. As the restoration time elapsed in the damaged lands (R/CR), the ecological strategies were predicted to change in two ways: R/CR→R/CSR→CSR (TSS) in places where only shrubs were introduced, and S/SR→S/SR (WS) in places where trees and shrubs were introduced simultaneously. The results as such mean that the driving force that causes succession in the restoration of temperate grasslands is determined by the lifeform (trees/shrubs) of the introduced woody plants, and therefore, it is judged that trees or shrubs should be selected and introduced bearing the final target vegetation in mind when planning restoration.
Leaf litter in fruit orchards in winter is a hot spot for invertebrate predators and biodiversity
Authors: Niedobová Jana , Ouředníčková Jana , Kudláček Tomáš , Skalský Michal
Published: April 2023

Overwintering of invertebrates in Central Europe drives the population dynamics in the subsequent seasons and have the direct impact on ecosystem services and biodiversity conservation. The objective of this study was to investigate the small- and middle-scale spatial and temporal distribution of overwintering invertebrates in the fallen leaves in three fruit orchards. The early and late winter distributions of several arthropod taxa were studied in fallen leaves in apple, pear, and cherry orchards in relation to several environmental variables. In the predefined areas (1 x 1 m) samples of fallen leaves were collected in the winter 2018/2019 and 2019/2020. Data from an area of 168 m2 was used for evaluation. A total of 1281 invertebrate individuals were collected. The most abundant were spiders with 787 specimens. Samples also comprised 17 other invertebrate species or higher taxonomic categories, 10 of which were considered as beneficial, four as pests, and three were unclassified. Spiders were analysed more precisely due to their dominance and their possible importance in plant protection. We demonstrate for the first time that fallen leaves in fruit orchards offer a suitable overwintering microhabitat for predatory arthropods and comprehensively evaluate the overwintering arthropod assemblage in relation to several ecological and environmental variables.
The Mental Health Toll of the Great Migration: A Comparison of Mental Health Outcomes among Descendants of African American Migrators
Authors: Vu Cecilia , Arcaya Mariana , Kawachi Ichiro , Williams David
Published: April 2023

Introduction: Research is beginning to examine the health outcomes of migrators of the Great Migration, a movement of up to eight million African Americans from the South to the North and West during the 20th century. However, sparse evidence exists studying the health outcomes of the children of Great Migration movers. The aims for this study were to compare the lifetime prevalence of mental health disorders by migration status and to examine the role of discrimination in this relationship.
Methods: We used a sample of 3,183 African American adults from the National Survey of American Life (2001-2003). Using birthplaces of participants and their mothers, we classified adults as (1) Southern stayers, (2) migrators to the South, (3) migrators to the North or (4) Northern stayers. The outcomes were lifetime prevalence of any mental health, mood, anxiety, and substance use disorders. We used weighted log-Poisson regression models and adjusted for demographic characteristics, socioeconomic status, and experiences of everyday and major lifetime discrimination.
Results: Migrators to the North and Northern stayers had higher risks of any lifetime mental health, mood, anxiety, and substance use disorders compared to Southern stayers in the adjusted models. Migrators to the North and Northern stayers were more likely to report perceived discrimination. Discrimination partially attenuated the relationship between migration status and mental health disorder outcomes.
Conclusion: This study suggests the potential mental health adversities that migrating families to the North may have experienced.
New approach of stereotactic aspiration combine with neuroendoscopy and decompressive craniectomy for spontaneous supratentorial intracerebral hemorrhage with tentorial herniation
Authors: Cai Qiang , Li Zhiyang , Wang Wenju , Lei Pan , Song Ping , Zhou Long , Cheng Li , Gao Lun , Wei Hangyu , Hua Qiuwei , Chen Qianxue , Xiao Xiaohua , caiqiang Bangqing
Published: April 2023

Objective
To introduce a new “three-in-one technique” surgical approach of "stereotactic aspiration + neuroendoscopy + decompressive craniectomy” for spontaneous supratentorial intracerebral hemorrhage (SSICH) with tentorial herniation patients and to explore its preliminary application.
Methods
On our previous “two-in-one technique” operation, we further combined decompressive craniectomy to form a special surgical approach for SSICH with tentorial herniation patients. The operation included three steps: 1. Burr hole and aspirate partially clot to rapidly decrease intracranial pressure (ICP); 2. Remove the residual hematoma and stop the bleeding under neuroendoscope; 3. Decompressive craniectomy for further complete decompression. Clinical data of 17 patients with SSICH and cerebral hernia who underwent this approach in our department from January 2019 to February 2022 were collected, and time to access hematoma, hematoma evacuate rate and the outcome were analyzed.
Results
All procedures were successfully completed and the average access time to hematoma was 4.8 minutes in “three-in-one technique” group, which was much less than in craniotomy group (36.3 minutes) and neuroendoscopy group (9.9 minutes). Among the 17 patients, 3 died, 7 give up, 5 improved and 2 clinical cured. The poor prognosis (Death + Give up ) was 58.8% which was much better than traditional craniotomy group in previously published studies.
Conclusions
This “three-in-one technique” surgical approach combines the advantages of rapid decompression by stereotactic aspiration, full decompression and minimizing iatrogenic brain injury by neuroendoscope, complete decompression by decompressive craniectomy, which is a beneficial attempt for SSICH with tentorial herniation patients.
Sistem Informasi Manajemen Pengumpulan dan Pengangkutan Sampah Padat dengan Efisiensi Rute Menggunakan K-Means Clustering dan Travelling Salesman Problem
Authors: Hanafi Munji , Warsito Budi , Gernowo Rahmat
Published: April 2023

The increasing population growth and rapid urbanization have resulted in large amounts of solid municipal waste (SMW). Nowadays, the problem of waste management is a problem that is being experienced by every country in the world. As a result, implementing efficient waste management strategies is increasingly needed. The collection and transportation of solid waste is the most important thing to pay attention to in waste management efficiency to reduce the costs of collecting and transporting solid waste. The research started by collecting data and interviewing the environmental services of Semarang City about the waste transportation system in Semarang City. The results of the data and interviews will then be used as a reference for the system analysis to be made. Then proceed with designing information systems. After that, the information system was developed by applying the Traveling Salesman Problem (TSP) method using a heuristic in the form of K-means Clustering. With the help of OR-Tools, TSP completion does not require node distance, just inputting the coordinates of each node. The study closed system testing. This research proposes a new approach to solving TSP. First is the process of assembling nodes into several clusters. Then, look for the shortest route in each cluster. The research resulted in 21 routes in 16 corridors to transport waste in Semarang City, presented on a map on a web-based Information System as Decision Support System (DSS). The comparison of the methods shows that TSP is the most suitable for this case.
Analisis Perbandingan Metode Mobile-D Dan Prototype Pada Pembangunan Aplikasi E-Book Anak Usia Dini
Authors: Rahayu Puji , Rahmi Nirmala , Wicaksana Widya
Published: April 2023

Literacy education in Indonesia is very low, which occupies the 62nd rank of 70 countries in the world. Based on the survey, one of the ways to increase the reading interest in the Indonesian people is to teach literacy education early in the age range of 3-6 years, where children begin to increase their cognitive, psychosocial and physical, and physical abilities. Therefore, we will develop an e-book as a learning medium to attract early childhood attention. The method used to develop this application is the Mobile-D method and prototype. The results of the test conducted on the E-Book Application of the Early Children's E-Book stated that all input forms and buttons in the system could run properly and the integrity of the output data on the input or the action carried out is following the user's expectations. The results of the analysis, design, implementation and comparison of the methods that have been carried out in the manufacture of this application show that the mobile-D development model is suitable for mobile development that can run on the system environment that accepts if there is a change or addition, the number of teams is a little, at level Applications, small-built systems and relatively short, development times. While the prototype development model is more suitable for systems made based on certain requests and needs by use.
Adaptasi Human Machine Interface (HMI) dalam Monitoring dan Kendali Kualitas Air pada Tambak Udang
Authors: Somantri Maman , Arfan M , Siregar Oscar Solideo
Published: April 2023

A good and really important vaname cultivation is to maintain the quality of shrimp. Shrimp pond water quality includes several parameters including temperature, pH, salinity, oxygen content, and air altitude. The large number of actuators and sensors requires an interface that connects sensors and actuators with humans to facilitate the monitoring process and manual remote control. In this study, a web-based Human Machine Interface (HMI) was built to monitor and control air quality manually remotely. The HMI built in this research uses IoT (Internet of Things) technology so that the process of reading and sending data can be done anywhere, anytime, and through any online device. This website-based HMI was tested using the black box testing method, namely by looking at the experimental results based on the given scenario. The survey results were also given to 5 respondents, 2 of whom considered this website-based HMI to be very good and 3 others considered it normal. From this test, it can be said that the website-based HMI has been successfully implemented
Kepuasan Pengguna Layanan Shopee Food Menggunakan Algoritma Naive Bayes
Authors: Chrishariyani Cahya Dewi A. A. P. , Rahman Yusril , Aini Qurrotul
Published: April 2023

The rising growth of e-commerce in Indonesia has resulted in a shift in people's spending patterns toward online shopping. This growth triggers marketers or sellers to learn various strategies to satisfy consumers when shopping using applications, especially the Shopee online store. This study aimed to analyze the satisfaction of consumers and users of the Shopee food service application as measured in various aspects, including price and service quality. The population in this study were 33 respondents with a minimum age of 15 years and a maximum of 50 years who had to make payments at least once in the last six months on the Shopee application. The data collection technique in this study used an online questionnaire distribution using Google Forms, which was then analyzed by SPSS and classified using the Naïve Bayes (NB) algorithm with the RapidMiner tool. The analyzed data includes application display attributes or indicators, the number of drivers, price discounts, and payment methods. The results of this study indicate that all independent variables affect the dependent variable by 49.7% and simultaneously affect user satisfaction. Also, the accuracy of NB can reach 100% with 90% training and 10% testing data.
Tracking the swimming of self-propelling spermatozoa using computer assisted semen analysis techniquesto determine the effect of vibration on spermatozoids
Authors: Posevkin Denis Valerevich , Khussein Abobakr Mokhamed Abbakar
Published: April 2023

Human sperm motility is of great interest to researchers and biologists studying sperm function and to medical practitioners evaluating and treating male in-fertility. Computer-assisted semen analysis (CASA) instruments are used to trace the swimming paths of sperm automatically in time-lapse microscopy image sequences connect-the-dots between video frames, enabling rapid automatic quantification of sperm motility parameters for hundreds of cells at a time. The image processing and sperm tracking capabilities of today’s CASA instruments can be enhanced However. In this paper we highlighted the limitations of (CASA) instruments and suggested ways to mitigate them from the literature. We have also our algorithm ‒ program complex to determine linear velocity in Java. With all these efforts in further improving the computational tools for CASA, much more robust and versatile systems should be available in the foreseeable future.