bluuebunny/crossref_metadata_2025_split huggingface dataset:
The westerlies control the zonal migration of rainy season over the Tibetan Plateau
Authors: Jiang Xingwen , Cai Fengying , Li Zhenning , Wang Zunya , Zhang Tuantuan 
Published: April 2023

Abstract
Precipitation over the Tibetan Plateau (TP) is modulated by both the South Asian summer monsoon and the midlatitude westerlies. However, their dissimilar impacts on the seasonal evolution of precipitation are not well explored. This study reveals that the onset and retreat of rainy season over the TP, presenting a west-east migration pattern, are mostly controlled by the westerlies. The annual cycle of precipitation amount over the TP is out-of-phase with that of westerly wind speed. The weakening of westerlies favors more precipitation over the TP by reducing input of dry and cold air at the west and output of moist and warm air at the east. Due to the northward shift of westerly jet before July, the weakening of westerlies over the TP leads to a westward shift of the low-level warm air center and associated low-pressure center, and a westward extension of moist air convergence. Consequently, rainy season advances westward. In contrast, the southward shift of westerly jet after August leads to a strengthening of westerlies and an eastward retreat of rainy season.
NKD1 targeting PCM1 regulates the therapeutic effects of HHT on colorectal cancer cells
Authors: Cao Jia , Tao Xiang , Shi Bin , Wang Jia , Ma Rong , Zhao Jufen , Tian Jinhai , Huang Qi , Yu Jingjing , Wang Libin 
Published: April 2023

Abstract
Background: Colorectal cancer (CRC) is the most common primary malignancy. Homoharringtonine (HHT) has potential therapeutic effects on solid tumors. However, the regulatory target and mechanism of HHT in CRC progression remain elusive.
Methods: CCK-8, Edu staining, flow cytometry and Western blotting assay to detect the effect of HHT on proliferation and apoptosis of CRC cells. Transcriptome sequencing screened the drug delivery target of HHT. In vitro rescue experiment and in vivo tumorigenesis experiment detect the targeted interaction between HHT and NKD1. Quantitative proteomics combined with CO-IP and IF experiments to verify the targeted interaction between NKD1 and PCM1.
Results: HHT suppressed CRC cells proliferation by inducing cell cycle arrest and apoptosis in vitro and vivo. HHT inhibited NKD1 expression in a concentration and time dependent manner. NKD1 was overexpressed in CRC and its depletion enhanced the therapeutic sensitivity of HHT on CRC, which indicating that NKD1 plays an important role in the development of CRC as the drug delivery target of HHT. Furthermore, proteomic analysis revealed that PCM1 participated the process of NKD1-regulated cell proliferation and cell cycle. NKD1 interacted with PCM1 and promotes PCM1 degradation through the ubiquitin-proteasome pathway. The overexpression of PCM1 effectively reversed the inhibition of siNKD1 on cell cycle.
Conclusions: These results suggested that NKD1 targeting PCM1 to participate in regulating the therapeutic effects of HHT on CRC. Our findings provide evidence for clinical application of NKD1-targeted therapy in improving HHT sensitivity for CRC treatment
For establishment of the healthcare information booklet after Turkey-Syrian earthquake based on the past disaster
Authors: Okuyama Junko , Seto Shuji , Fukuda Yu , Suzukamo Yoshimi , Okazaki Tatsuma , Furusawa Yoshihito , Izumi Shin-Ichi , Ito Kiyoshi , Imamura Fumihiko 
Published: April 2023

Abstract
After a natural disaster, it is important to maintain the health of the victims, but after the Turkey-Syria earthquake, this information has not yet been provided. Tohoku University has compiled information on maintaining health care after the Great East Japan Earthquake of March 2011 into a booklet, which is available to the public. The purpose of this study is to investigate user satisfaction with this booklet. A total of 505 organizations participated in this study by completing questionnaires and evaluating the booklet. Quantitative responses were analyzed and coded by theme. Open-ended responses indicated that it was difficult for the general public to understand the data in the booklet. This study shows the need to keep in mind the ease of understanding for the general public when providing information on post-disaster care. We hope that this study will lead to better health care information for the victims of the Turkey-Syria earthquake.
Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels
Authors: Jongbloed Elisabeth M. , Jansen Maurice P.H.M. , de Weerd Vanja , Helmijr Jean A. , Beaufort Corine M. , Reinders Marcel J. T. , Marion Ronald van , IJcken Wilfred F. J. van , Sonke Gabe S. , Konings Inge R. H. M. , Jager Agnes , Martens John W.M. , Wilting Saskia M. , Makrodimitris Stavros 
Published: April 2023

Abstract
Next generation sequencing of cell-free DNA (cfDNA) is a promising method for treatment monitoring and therapy selection in metastatic breast cancer (MBC). However, distinguishing tumor-specific variants from sequencing artefacts and germline variation with low false discovery rate is challenging when using large targeted sequencing panels covering many tumor suppressor genes. To address this, we built a machine learning model to remove false positive variant calls and augmented it with additional filters to ensure selection of tumor-derived variants. We used cfDNA of 70 MBC patients profiled with both the small targeted Oncomine breast panel (Thermofisher) and the much larger Qiaseq Human Breast Cancer Panel (Qiagen). The model was trained on the panels’ common regions using Oncomine hotspot mutations as ground truth. Applied to Qiaseq data, it achieved 35% sensitivity and 36% precision, outperforming basic filtering. For 20 patients we used germline DNA to filter for somatic variants and obtained 245 variants in total, while our model found seven variants, of which six were also detected using the germline strategy. In ten tumor-free individuals, our method detected in total one (potentially germline) variant, in contrast to 521 variants detected without our model. These results indicate that our model largely detects somatic variants.
Is a surgical drain necessary in elderly patients with femoral neck fractures treated with hemiarthroplasty? - A case-control study
Authors: Lee Seung-Hun , Kwak Dae-Kyung , Yoo Je-Hyun 
Published: April 2023

Abstract
Femoral neck fracture is a common osteoporotic fracture in elderly patients and is effectively managed with arthroplasty. However, the benefits and risks of surgical drain after arthroplasty in these patients are still debatable. Hence, we conducted this case-control study to investigate the necessity of surgical drain in elderly patients with femoral neck fractures treated with cementless bipolar hemiarthroplasty. This study enrolled elderly patients (aged ≥ 70 years) who underwent cementless bipolar hemiarthroplasty for femoral neck fractures between April 2016 and December 2021. The patients were classified into the control group comprising 199 patients with surgical drain after surgery performed between April 2016 and June 2020, and the study group, which comprised 134 patients with no surgical drain between July 2020 and December 2021. Demographics, perioperative data and postoperative complications were compared between the two groups. Estimated blood loss, perioperative transfusion volume and rate, and length of hospital stay were significantly lower in the study group than in the control group (p < 0.001, p < 0.001, p = 0.008, and p < 0.001, respectively). Although there were no significant intergroup differences in the length of intensive care unit stay and in-hospital, 1-month, and 1-year mortalities, the incidence of postoperative medical complications was significantly higher in the control group than the study group and the odds ratio was 2.10 (95% Confidence Interval = 1.32–3.34, p = 0.001). Surgical drain is not necessary after cementless bipolar hip hemiarthroplasty in elderly patients with femoral neck fractures, considering lower blood loss, transfusion and lower incidence of postoperative medical complications in the study group with no surgical drain.
Agoraphobia and panic attacks complicated by primary aldosteronism improved by treatment with eplerenone: a case report
Authors: Kijima Reoto , Tesen Hirofumi , Igata Ryohei , Okamoto Naomichi , Yoshimura Reiji 
Published: April 2023

Abstract
Background: Primary aldosteronism (PA) is an adrenal gland disease, that induces increased secretion of the mineralocorticoid, aldosterone, resulting in symptoms such as hypertension. This study reports a patient with agoraphobia and panic attacks, associated with PA. This patient's psychiatric symptoms improved after treatment with eplerenone, a mineralocorticoid receptor antagonist.
Case presentation: The patient was a 40-year-old female with agoraphobia, which refers to the irrational fear of situations that may cause anxiety, and panic attacks characterized by profuse sweating, palpitations, and generalized weakness. She was diagnosed with hypertension from PA. Subsequently, she received treatment with eplerenone, which improved her agoraphobia and panic attacks.
Conclusions: There have been no previous reports on PA associated with agoraphobia and panic attacks that improved with pharmacotherapy. Patients with agoraphobia and panic attacks should be evaluated for PA. In patients with PA, pharmacotherapy with eplerenone should be considerd.
Prevalence and factors associated with potential drug-drug interactions in prescriptions presented at private pharmacies in Mbarara city, southwestern Uganda
Authors: Lule Allan Phillip , Delic Ogwal Basil , Katunguka Keneth , Muwonge Francis , Yadesa Tadele Mekuriya 
Published: April 2023

Abstract
Background: Drug-drug interactions (DDIs) influence the effectiveness of medication and thus determine the treatment outcomes of diseases managed with pharmacotherapy. This study aimed to determine the prevalence, severity, and factors associated with potential drug-drug interactions in prescriptions presented at private pharmacies in Mbarara city.
Methods: DDIs were identified and classified basing on risk and severity using Lexicomp drug interaction database. STATA version 13 was used to analyze the collected data. Descriptive statistics were used to summarize the severity of potential DDIs identified. Bivariate and multivariate logistic regression was employed to identify different factors associated with the presence of potential DDIs.
Results: A total of 295 prescriptions from 18 private pharmacies were studied and the prevalence of clinically significant potential DDIs was 37.6%. About half (149, 50.5%) of the patients were females, the majority (199, 67.5%) were adults 18-59 years of age whereas most (208, 70.5%) had a comorbid condition. Over one half (162, 54.9%) of the prescriptions were received from hospitals and majority of the prescriptions had 4 drugs prescribed (n=175, 59.32%). Having one or more comorbidities and prescribing of therapeutic drug categories including anti-fungal, anti-hypertensives, analgesics, or corticosteroids were significantly associated with potential DDIs.
Conclusions: The prevalence of potential drug-drug interactions in outpatient setting in Mbarara city was high and majority of the potential DDIs were of moderate severity. Having 1 or more comorbidities and prescribing of therapeutic drug categories including anti-fungals, anti-hypertensives, analgesics, or corticosteroids were significantly associated with potential DDIs.
Effect of Nd Addition on the Microstructure and Cyclic Oxidation Behavior of NiAl-Cr(Mo) Eutectic Alloys
Authors: Atas Mehmet Sahin , Yildirim Mehmet 
Published: April 2023

Abstract
The effect of a minor amount of rare-earth element Nd addition (0.1 at.%) on the microstructural properties, microhardness, and cyclic oxidation resistance of NiAl-Cr(Mo) alloy is investigated in detail. The microstructure of investigated alloys is composed of NiAl-based dendrites and a eutectic mixture whose components are NiAl and Cr(Mo) phases. The minor amount of Nd addition refines the microstructure and increases the microhardness considerably. The results of the cyclic oxidation tests reveal that the surface scales of both alloys are mainly consisted of α-Al2O3 and little amount of Cr2O3. A Cr(Mo)-rich layer is observed in the metal/oxide interface. With Nd addition, the oxidation resistance of Ni-33Al-31Cr-3Mo alloy is strongly improved. The Nd-doped alloy exhibits lower oxidation mass gain and increased scale adherence.
A duct design for reducing grad-B MHD drag
Authors: Shimada Michiya , Salami Jabir Al , Hanada Kazuaki , Hu Changhong 
Published: April 2023

Abstract
Harsh heat load conditions on plasma-facing components (PFCs) in steady-state and transient phenomena (e.g., disruptions and ELMs) in DEMO fusion reactors question the feasibility of current approaches based on solid targets made of tungsten. This issue calls for the development of innovative plasma-facing components. Liquid metal PFCs with strong convection enhance heat removal capability and resilience after the transient phenomena. However, transporting liquid metal across magnetic fields gives rise to MHD drag. MHD drag for the case of uniform B, estimated analytically, is acceptable. Grad-B MHD drags with straight ducts could seriously drag the LM flow across non-uniform B. Expanding the duct along B and shrinking the duct in a perpendicular direction could make electromotive force |vBh| approximately constant along the duct and significantly reduces the grad-B MHD drag. Here v denotes the flow velocity along the duct, B is the magnetic field strength, and h is the vertical duct size. Three-dimensional simulations for internal and free surface thermo-MHD phenomena have demonstrated that the proposed duct design reduces the total pressure drop along the duct.
Effects of care of multimorbid patients in general practices by Advanced Practice Nurses (FAMOUS): Study Protocol for a non-randomized controlled trial
Authors: Stemmer Renate , Büchler Britta , Büttner Matthias , Dera-Ströhm Christina , Klein Joachim , Emilio Gianicolo 
Published: April 2023

Abstract
Background
Multimorbidity is a common phenomenon in patients treated in general practices. Key challenges of this group are functional difficulties, polypharmacy, treatment burden, fragmentation of care, reduced quality of life and increased healthcare utilisation. These problems cannot be solved in the short consultation time of a general practitioner (GP) since there is an increasing shortage of GPs. In many countries Advanced Practice Nurses (APNs) are successfully integrated into primary health care for multimorbid patients.
The objective of this study is to examine whether the implementation of APNs in the primary care of multimorbid patients in Germany leads to an optimized care of the target group and to a reduction in the workload of the GPs.
Methods
APNs care for multimorbid patients in general practice for twelve months; this is the intervention. Qualifications for APNs include a master's level academic degree and 500 hours of project-specific training. Their tasks are: in-depth assessment, preparation, implementation, monitoring and evaluation of a person-centred and evidence-based care plan.
In the design of a non-randomized controlled trial, a prospective multi-centre mixed methods study is conducted. Main inclusion criterion is: three chronic diseases. For data collection of the intervention group (n= 817), routine data from health insurance companies and Statutory Health Insurance Physicians (ASHIP) are used, as well as day-to-day documentation of the care process, standardized questionnaires and qualitative interviews. In addition, the intervention will be assessed in a longitudinal design. The control group (n= 1634) will receive standard care. For the evaluation routine data from health insurance companies are matched 1:2.
Outcomes are measured using emergency contacts and GP visits, treatment costs, health status of the patients and satisfaction of parties involved.
The statistical analyses use Poisson regression to compare outcomes between intervention and control groups. Descriptive and analytical statistical methods are used in the longitudinal analysis of the intervention group data. Cost analysis will compare total costs and subgroup costs between the intervention and control groups. Qualitative data will be analysed using content analysis.
Discussion
A challenge could be the political and strategic environment as well as the planned number of participants.
Trial registration DRKS00026172 on DRKS
Molecular Mechanisms of Na+-driven Bile Acid Transport in Human NTCP
Authors: Lu Xiaoli , Huang Jing 
Published: April 2023

Abstract
Human Na+ taurocholate co-transporting protein (hNTCP) is a key bile salt transporter to maintain enterohepatic circulation and is responsible for the recognition of hepatitis B and D viruses (HBV/HDV). Despite recent cryo-EM studies revealing open-pore and inward-facing states of NTCP stabilized by antibodies, the transport mechanism remains largely unknown. Here, we use molecular dynamics (MD) and enhanced sampling Metadynamics simulations to elucidate the intrinsic mechanism of hNTCP-mediated taurocholate acid (TCA) transport driven by Na+-binding. We uncover three TCA binding modes, one of which closely matches the limited cryo-EM density observed in the open-pore hNTCP. Several key hNTCP conformations in the substrate transport cycle were captured, including an outward-facing, substrate-bound state. Furthermore, we provide thermodynamic evidence supporting that changes in the Na+-binding state drive the TCA transport by exploiting the amphiphilic nature of the substrate and modulating the protein environment, thereby enabling the TCA molecule to flip through. Understanding these mechanistic details of Na+-driven bile acid transport may aid in the development of hNTCP-targeted therapies for liver diseases.
A Hybrid Method for Optimal Arrangement of Turbine Blades
Authors: Mehne Hamed Hashemi , Jafari Hadi 
Published: April 2023

Abstract
Installation of blades in the right positions around a disk stage is a critical problem in repairing gas turbines and jet engines. The arrangement may cause an imbalance in the rotor that increases vibration and affects the turbine's performance and lifetime. To find the optimum positions of blades around the disk an assignment problem is proposed in this article. A solving method is then developed based on an improved ant colony optimizer. The method is accelerated in combination with two exchange schemes. The results of implementation in three industrial cases show that the proposed hybrid method is accurate. In addition, it finds the arrangement of blades with a lower imbalance than the two prevalent algorithms.
Development of a deep learning-based grading model to evaluate fetal lung maturity from normal fetal lung ultrasound images
Authors: Zhao Yuli , Zhang Yixin , Wang Sen , Guo Huimin , Feng Li 
Published: April 2023

Abstract
Objectives
To develop a deep learning algorithm for quantifying fetal lung maturity from normal fetal lung ultrasound images.
Methods
This is a single-center analytical study that retrospectively cross-sectionally observes singleton pregnant woman without pregnancy complications at 20–41+ 6 weeks of gestation, and acquires axial images of their fetuses at the level of the four-chambered heart in order to create a model for evaluating the maturity of the fetal lungs using normal fetal lung ultrasound images. Assuming that the texture information of the fetal lung ultrasound image can represent the maturity of the fetal lung development, and the gestational age is proportional to the maturity of the fetal lung, the deep learning grading model based on the normal fetal lung ultrasound image is established with the gestational age as the baseline. The pictures were split into three classes according to the gestational weeks which were calculated at the last menstrual period of the pregnant woman as the reference standard: 20 to 29+ 6 weeks for class I, 30 to 36+ 6 weeks for class II, and 37 to 41+ 6 weeks for class III.
Results
This study had 350 pregnant women in total, and the deep learning model's classification accuracy for ultrasound images of fetal lungs at different gestational ages was 0.917.
Conclusion
The grading model based on deep learning can correctly and independently predict the fetal lung maturity from ultrasound images.
Species diversity of environmentally-transmitted bacteria colonizing Riptortus pedestris (Hemiptera: Alydidae) and symbiotic effects of the most dominant bacteria
Authors: Gook Do-Hun , Jung Minhyung , Kim Soowan , Lee Doo-Hyung 
Published: April 2023

Abstract
Riptortus pedestris (Hemiptera: Alydidae) establish endosymbiosis with bacteria in soil where R. pedestrisare exposed to extremely diverse microbiota. To better understand ecology and evolution of the symbiosis, it is important to characterize bacterial species diversity colonizing R. pedestris and evaluate their symbiotic effects. Nonetheless, previous research was limited to a model species, Caballeronia insecticola, when investigating the interactions between two groups. In this study, second-instar nymphs were provided with field soil and reared to adult. Then, bacteria colonizing the midguts of R. pedestris were analyzed for species identification based on 16S rRNA. First, a total of 15 bacterial species were detected belonging to Burkholderiaceae. Most R. pedestris were found to harbor single bacterial species, and the insects harbored at most two bacterial species simultaneously. Among R. pedestris harboring single bacterial species, 91.2% harbored genus Caballeronia. The most dominant species was Caballeronia jiangsuensis, not previously documented for symbiotic associations with R. pedestris. Second, in laboratory conditions, the most dominant species, C. jiangsuensis, significantly enhanced the development, body size, and reproductive potentials of R. pedestris, compared to individuals with no symbiotic bacteria. These results add novel information to address how evolutionary and ecological associations have been shaped in the symbiosis.
A Lidar-based computer vision system for monitoring of patients in medical scenes
Authors: Wu Xuan , Zhang Haiyang , Kong Chunxiu , Wang Yuanze , Ju Yezhao , Zhao Changming 
Published: April 2023

Abstract
Long-term monitoring for patients can improve patient safety, help doctors diagnose and evaluate the clinical situation. Limited manpower in hospitals makes it difficult to achieve continuous and nuanced monitoring. In this paper, we classify the patient's posture as standing, sitting, lying and falling. Using a non-intrusive, privacy-compliant lidar, a medical human pose dataset is collected in the First Affiliated Hospital, Sun Yat-Sen University, and a novel computer vision-based approach is presented to continuously detect patients pose and provide timely information to health care workers. The recognition accuracy reaches 93.46% and the recognition speed reaches 42FPS on 3080Ti. Experimental results show that the algorithm performs well on the medical human pose dataset, and can effectively solve the problem of human pose recognition in medical scenes.