bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Dual STRN-NTRK2 Rearrangements in a High Grade Sarcoma, With Good Clinical Response to First-line Larotrectinib Therapy
Authors: lin ruihe , Mallick Atrayee Basu , Wang Zi-Xuan , Brown Scot Andrew , Lu Bo , Jiang Wei 
Published: April 2023

Abstract
Background: Among the three NTRK genes, NTRK2 possesses a tremendous structural complexity and involves tumorigenesis of several types of tumors. To date, there are only STRN and RBPMS are identified in the fusion with NTRK2 in adult soft tissue tumors. More recently, the highly selective Trk tyrosine kinases inhibitors, including larotrectinib and entrectinib, have shown significant efficacy for treating tumors harboring NTRK fusions and were approved by FDA.
Case presentation: We report a case of sarcoma in a 35-year-old female harboring two STRN-NTRK2gene fusions, with a good clinical response to first-line larotrectinib treatment. Core biopsy of the 16.5 cm gluteal mass showed a high-grade mesenchymal neoplasm with features reminiscent of a solitary fibrous tumor, but negative STAT6. In-house next-generation sequencing gene fusion panel showed two in-frame STRN-NTRK2 fusions, which contain the same 5’ partner sequence (exon 1-3) of STRN, and the 3’ fusion partner starting from either the exon 15 or the exon 16 of NTRK2. Due to the large size and location of the tumor, first-line neoadjuvant therapy with larotrectinib was initiated. The patient has an excellent clinical response with an 83% tumor size reduction by imaging. The tumor was subsequently completely resected. After 130 days, larotrectinib was reinitiated for lung metastasis (up to 7 cm), and a complete resolution was achieved. When compared with NTRK1 and NTRK3, NTRK2 fusions are the least common. Of note, the only other report in the literature on NRTK2 fusion-positive sarcoma also showed solitary fibrous tumor (SFT)-like morphology, and the patient responded well to larotrectinib as the second line adjuvant therapy.
Conclusions: In conclusion, the identification of NTRK2 fusions in patients with soft tissue tumors could significantly improve the clinical outcome through selective NTRK inhibitor therapy, especially in the first-line setting. Prompt RNA-based NGS testing at initial diagnosis may benefit these patients. Our case is the first in the literature on NTRK2 fusion sarcoma with first-line larotrectinib therapy in the primary and metastatic setting, with good clinical response and minimal side effects.
Effects of Eight-Week Resistance Training on the Quality of Life and Sleep Quality of Untrained Men with a History of COVID-19
Authors: Kalayeh Morteza Bagheri , Gaeini Abbas Ali , Kordi Mohammad Reza , Kalayeh Mahdieh Bagheri 
Published: April 2023

Abstract
Background The COVID-19 pandemic has caused physical, psychological, and functional complications in society, with particular impacts on positive cases. Reduced quality of life (QOL) and sleep quality are among the many problems experienced by COVID-19 patients. Hence, exercise rehabilitation gains further importance after people are afflicted with COVID-19. This study aimed to analyze the effects of resistance training on the QOL and sleep quality in untrained men with a history of COVID-19.
Methods Based on inclusion and exclusion criteria, purposive sampling was employed to select 34 individuals who were willing to participate in the study. They were then randomly assigned to a resistance training group and a control group (n=17 per group). In order to evaluate the pretest scores of sleep quality and those of QOL, the participants were asked to complete the Pittsburgh Sleep Quality Index (PSQI) and the Short Form 36 Health Survey Questionnaire (SF-36), respectively. Subsequently, the training group received eight weeks of resistance training held three sessions weekly. The participants re-completed the foregoing questionnaires when all training sessions were over to determine their posttest scores. The resultant data were then analyzed in SPSS 27.
Results The research findings indicated significant differences between the resistance training group and the control group regarding the QOL and sleep quality after eight weeks of resistance training (P ≤ 0.05).
Conclusions Given the findings of the current study, one can conclude that resistance training has positive effects on the QOL and sleep quality in untrained men with a history of COVID-19. Hence, resistance training can probably be recommended to rehabilitate patients with COVID-19.
Trial registration number IRCT20230221057480N1, 2023-03-04, retrospectively registered.
Non-relativistic bound state solutions of a linear combination of deformed Hulthén plus generalized Kratzer potentials using Feynman path integral approach
Authors: Sadoun Mohamed Améziane , Haddad Fouzi 
Published: April 2023

Abstract
The approximate bound state solutions of Schrödinger equation with linear combination of a q-deformed Hulthén potential plus screened Kratzer potential were obtained with the help of appropriate approximation to evaluate the centrifugal term. The Feynman path integral approach was used to obtain the analytical solutions. The energy spectrum and the normalized wave functions of the bound states are derived from the poles of the Green’s function and its residues. Particular cases of these potentials are also discussed briefly and it is found that obtained results are in good agreement with those obtained in the literature.
Effect of closed suction irrigation on patients with brucellosis spondylitis after one-stage posterior debridement and bone grafting fusion with internal fixation: a randomized controlled trial
Authors: Wen Fayan , Li Zhenjun , Qiang Tianming , Li Yiqi , Liu Bei , Yang Yinjun , Li Yan , Liu Yongming 
Published: April 2023

Abstract
Objective: Currently, the treatment of brucellosis spondylitis (BS) is still a major clinical problem. The purpose of this study is to evaluate the feasibility of closed suction irrigation on patients with BS after one-stage posterior debridement and bone grafting fusion with internal fixation.
Methods: This is a single blind randomized clinical controlled trial. A total of 30 patients with BS after one-stage posterior debridement and bone grafting fusion with internal fixation admitted from August 2022 to March 2023 were randomly divided into control group and experimental group according to the ratio of 1:1, with 15 patients in each group. The control group was treated with routine antibiotic therapy after operation, the experimental group was treated with gentamicin closed suction irrigation at the basis of the control group. From the first day after operation, the wound was continuously washed with 80mg gentamicin +3000ml normal saline once a day for 2 weeks. By the third week, stop suction irrigation and continue to receive routine antibiotic treatment. The inflammatory markers [erythrocyte sedimentation rate (ESR), C- reactive protein (CRP)], the visual analogue scale (VAS) and oswestry disability index (ODI) were observed before operation, the 1st day after operation, and 1-week and 2-week after intervention. Multiple interpolation for missing data.
Results: Intention-to-treat analysis was used. All were analyzed in their randomized group. The results showed that the inflammatory markers, VAS and ODI in both groups decreased after 1-week of intervention (P<0.001), and the experimental group decreased significantly compared with the control group (P<0.05 or P<0.01). After 2-week of intervention, these significant differences still existed, and a significant difference compared with the 1-week (P<0.001). In addition, after 2-week of intervention, the ESR of patients in the experimental group decreased to a low level before operation (P<0.001), but the control group did not find this change. There were no adverse events were observed during the study. All patients were discharged with bone graft fusion degree of Grade 3. No postoperative complications occurred and the incision healed well.
Conclusion: Closed suction irrigation of gentamicin is safe and feasible for patients with BS after one-stage posterior debridement and bone grafting fusion with internal fixation, which can reduce inflammatory markers, relieve pain and improve functional ability.
Mercury distribution in plants and soils from the former mining area of Abbadia San Salvatore (Tuscany, central Italy)
Authors: Meloni Federica , Farieri Alessandro , Higueras Pablo L. , Esbrí José M. , Nisi Barbara , Cabassi Jacopo , Rappuoli Daniele , Vaselli Orlando 
Published: April 2023

Abstract
The distribution of heavy metals in plants growing in soils from active and abandoned mining areas is of scientific significance as it allows one to recognize their ability to survive in a hostile environment and to provide useful indications for phytoremediation operations. In this work, soils developed in the former Hg-mining area of Abbadia San Salvatore (Tuscany, Central Italy) were analyzed for total, leached Hg, % of organic- and inorganic-related Hg. The dehydrogenase enzyme activity (DHA) was also measured with the aim to evaluate the status of the soil, being characterized by high Hg content. Eventually, the concentration of Hg in the different parts of the plants growing on these soils was analyzed. The soils showed Hg content up to 1068 mg kg− 1 and in most of them is dominated by inorganic Hg (up to 92%). The DHA concentrations were < 151 µg TPF g− 1day− 1, suggesting that the presence of Hg is not significantly affecting the enzymatic soil activity. This is also supported by the bioaccumulation factor (BF) that is < 1 in most of the studied plants. Generally speaking, the plant leaves appear to be one of the main pathways of Hg uptake, as also observed in other mining areas, e.g. Almaden (Spain), suggesting that particulate-Hg and Hg0 are the main forms entering the plant system, the latter derived by the GEM emitted by both the edifices hosting the roasting furnaces and the soils themselves.
Low-Dose Total Body Irradiation Enhances Systemic Anti-tumor Immunity Induced by Local Cryotherapy
Authors: Liao Yin , Chen Yao , Liu Shuya , Wang Weizhou , Fu Shaozhi , Wu Jingbo 
Published: April 2023

Abstract
The immune system plays a key role in the elimination of tumors. Strategies that restore the immune system's ability to recognize malignant cells have yielded clinical benefits but only in some patients. Tumor cells survive cryotherapy and produce a vast amount of antigens to trigger innate and adaptive responses. However, because tumor cells have developed immune escape mechanisms, cryotherapy alone may not be enough to induce a significant immune response. In this study, we present unique treatment options for enhancing the immune response caused by cryotherapy, pointing to the way forward for cancer treatment. We found that low-dose total body irradiation (L-TBI) in conjunction with local cryotherapy can effectively control tumor regrowth, inhibit tumor lung metastasis, extend the survival time of mice, and stimulate a long-term protective anti-tumor immune response to resist the re-challenge of tumor cells. The anti-tumor mechanism of this combination therapy may be related to the stimulation of inflammatory factors IFN-γ and IL-2, as well as an increase in immune effector cells (CD8 + T cells) and a decrease in immunosuppressive cells (MDSC, Treg cells) in the spleen or tumor tissue.
Quasi~λ-cyclic Codes Over a Class of Finite Commutative Semi-simple Rings
Authors: Wang Yan , Wang HuanYu , Heng Ziling , Li Jiawei 
Published: April 2023

Abstract
In coding theory, quasi λ-cyclic codes form an important class of codes which have been extensively studied. In this paper, we investigate the algebraic structure of quasi λ-cyclic codes over finite commutative semi simple rings. And we establish the relationship between quasi λ-cyclic codes over finite commutative semi-simple ring R and quasi λ-cyclic codes over finite fields Fq. Furthermore, we decompose quasi λ-cyclic codes to a direct sum of component codes C linear codes over rings, give the decomposition of quasi λ-cyclic codes and describe its dual codes.
Retrospective Evaluation of Preoperative Blood Inflammation Biomarkers for Predicting Post-PCNL SIRS
Authors: Aizezi Xierzhati , Feng Liancheng , Wang Zheng , Ma Yuan , Li Jifu , Keremu Abuduweili , Rouzi Maihemujiang , Dilixiati Ailiyaer , Shi Hanzhen , Wang Beiping , Huang Jinxing 
Published: April 2023

Abstract
Objective:
The aim of the study was to evaluate the predictive value of preoperative inflammation indicators in systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithotomy (PCNL).
Materials and Methods:
A retrospective analysis was conducted on 222 patients who underwent PCNL at our institution between January 2018 and December 2022. The primary endpoint was the development of SIRS after PCNL. Univariate and multivariate regression analyses were used to identify the independent factors associated with SIRS post-PCNL. Receiver operating characteristic (ROC) curves were generated and the areas under the curve (AUC) were calculated.
Results:
Among the 222 patients who underwent PCNL, 56 patients (25.2%) developed SIRS. Multivariate analysis revealed that serum leukocyte (OR 1.751; 95% CI 1.304-2.352; p ＜0.001), stone size (OR 2.589; 95% CI 1.164-5.756; p = 0.02), and positive urine culture (OR 5.905; 95% CI 2.397-14.548; p ＜0.001) were independent predictors of post-PCNL SIRS. The optimal cutoff value of serum leukocyte was 6.39×109/L through ROC analysis. In addition, there was no statistically significant correlation between preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), prognostic nutritional index (PNI), systemic inflammation response index (SIRI), systemic immune-inflammation index (SII) and the incidence of postoperative SIRS.
Conclusion:
Results demonstrate that stone size, preoperative serum leukocyte count, and urine culture are significant predictors of the development of SIRS following PCNL, and could therefore serve as useful predictors in clinical practice. Conversely, no significant association between other clinical inflammation biomarkers and the occurrence of post-PCNL SIRS was observed.
The Impact of Actuator Nozzle and Surroundings Condition on Drug Delivery using Pressurized-Metered Dose Inhalers
Authors: Jahed Mahsa , Kozinski Janusz , Pakzad Leila 
Published: April 2023

Abstract
The most commonly used method to deliver aerosolized drugs to the lung is with pressurized metered-dose inhalers (pMDIs). The spray actuator is a critical component of a pMDI, since it controls the atomization process by forming aerosol plumes and determining droplet size distribution. Through computational fluid dynamics (CFD) simulations, this study investigated the effect of two different nozzle types (single conventional and twin nozzles) on drug deposition in the mouth-throat (MT) region. We also studied the behavior of aerosol plumes in both an open-air environment and the MT geometry. Our study revealed that spray aerosol generated in an unconfined, open-air environment with no airflow behaves distinctly from spray introduced into the MT geometry in the presence of airflow. In addition, the actuator structure significantly impacts the device's efficacy. In the real MT airway, we found that the twin nozzle increases drug deposition in the MT region and its higher aerosol velocity negatively affects its efficiency.
Baryon masses estimate in heavy-flavor QCD
Authors: Rocha Maria Gomez , More Jai , Serafin Kamil 
Published: April 2023

Abstract
We apply the renormalization group procedure for effective particles (RGPEP) to the QCD eigenvalue problem for only heavy quarks. We derive the effective Hamiltonian that acts on the Fock space by solving the RGPEP equation up to second order in powers of the coupling constant. The eigenstates that contain three quarks and two or more gluons are eliminated by inserting a gluon-mass term in the component with one gluon and formulate the eigenvalue problem for baryons.We estimate masses for bbb and ccc states and find that the results match the estimates obtained in lattice QCD and in quark models.
ESASCF: A Framework for Expertise Extraction, Generalization and Reply for an Optimized Automation of Network Security Compliance
Authors: GHANEM MOHAMED C , CHEN THOMAS M , KETTOUCHE MOHYI E 
Published: April 2023

Abstract
The Cyber threats exposure has created worldwide pressure on organizations to comply with cyber security standards and policies for protecting their digital assets. Vulnerability assessment (VA) and Penetration Testing (PT) are widely adopted Security Compliance (SC) methods to identify security gaps and anticipate security breaches, In the computer networks context and despite the use of autonomous tools and systems, security compliance remains highly repetitive and resources consuming. In this paper, we tackled the problem of security auditing systems in networks infrastructures by designing and developing an Expert-System Automated Security Compliance Framework (ESASCF) which enables industrial and open-source VA and PT tools and systems to become efficient through extracting, storing and re-using the expertise in similar scenarios or while re-testing the same assets. The ES-led Security Compliance framework observe, learn and assist human expert to eventually take over autonomously the future repeated tasks and thus enable a prioritized and fast handling for both periodic and Ad-Hoc compliance re-assessment and re-testing. The obtained results validate the performance enhancement notably by cutting the time required for an expert to 50% in the context of reassessing and 20% in re-testing which represent a significant cost-cutting in addition to the long-term impact illustrated in the knowledge extraction, generalization and re-utilization.
Properties of Pseudoscalar Mesons in a Contact Interaction
Authors: Almeida-Zamora B. , Cobos-Martínez J.J. , Segovia J. 
Published: April 2023

Abstract
We study pseudoscalar meson properties and compute the γ*γ → π0, η, η′ transition form factor inthe framework of the Dyson-Schwinger equations (DSE) and Bethe-Salpeter equations (BSE), usinga momentum-independent contact interaction. The contact interaction is capable to describe theobservable properties, but produce a transition form factor whose evolution for large Q2 disagreeswith experiment, as well as its asymptotic power-law behavior conflicts with pQCD.
Quercetin alleviates inflammation induced by porcine reproductive and respiratory syndrome virus in MARC-145 cells through the regulation of arachidonic acid and glutamine metabolism
Authors: Guang Qian , Zhang Longze , Tang Xin , Li Jiakai , Cao Chong , Chen Hongbo , Qiu Longxin 
Published: April 2023

Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) infection causes severe inflammatory response and respiratory disease. Quercetin is among the widely occurring polyphenol, found abundantly in nature. Quercetin has anti-inflammatory, anti-oxidative and anti-viral properties. This study aimed to explore the effect and mechanism of quercetin on PRRSV induced inflammation in MARC-145 cells. Observing the cytopathic effect and measurements of inflammatory markers in MARC-145 cells collectively demonstrate that quercetin elicits a curative effect on PRRSV-induced inflammation. Liquid chromatography–mass spectrometry was further used for a non-targeted metabolic analysis of the the role of quercetin in the metabolic regulation of PRRSV inflammation in MARC-145 cells. It was shown that quercetin attenuated PRRSV-induced cytopathy in MARC-145 cells. We also found that quercetin inhibited PRRSV-induced mRNA expression of tumor necrosis factor-α (TNF-α) and interleukin 6 (IL-6). Metabolomics analysis revealed that quercetin ameliorated PRRSV-induced inflammation. Pathway analysis results revealed that PRRSV-induced pathways including arachidonic acid metabolism, linoleic acid metabolism, glycerophospholipid metabolism, and alanine, aspartate, and glutamate metabolism were suppressed by quercetin. Moreover, we confirmed that quercetin inhibited the activation of NF-κB/p65 pathway, probably by attenuating PLA2, LOX and COX mRNA expression. These results provide a crucial insight into the molecular mechanism of quercetin in alleviating PRRSV-induced inflammation.
ENSO Climate Patterns on Global Economic Conditions
Authors: Dufrénot Gilles , Ginn William , Pourroy Marc 
Published: April 2023

Abstract
We investigate the role of ENSO climate patterns on global economic conditions. The estimated model is based on a rich and novel monthly dataset for 20 economies, capturing 80.2% of global output (based on IMF data) over the period 1999:01 to 2022:03. The empirical evidence from an estimated global vector autoregres-sion with local projections (GFAVLP) model links an El Niño (EN) shock with higher output and inflation, corresponding with lower global economic policy uncertainty (GEPU). While a shock to the world oil and food price is inflationary, a food price shock leads to elevated GEPU, more so during a La Nina (LN) shock. A main finding is that an increase of the food price can be a source of global vulnerability. The findings indicate that the weather shock impact on global economic conditions is dependent on the climate state. Our result undermines existing studies connecting climate change and economic damage via statistical approach.
When a glimpse is enough: partial mimicry of jumping spiders by insects
Authors: Muñoz-Amezcua Carlos E. , Tapia-McClung Horacio , Rao Dinesh 
Published: April 2023

Abstract
Many flies and moths mimic the frontal appearance of jumping spiders. This type of mimicry, which we term as Partial mimicry, can be distinguished from Batesian mimicry since the mimic has spider resembling patterns only in certain parts of the body, and not the entire body. The presence of spider like patterns is obvious only at certain angles suggesting that the mimic is frequently targeted by its predators from particular angles. We tested this hypothesis using Deep Convolutional Neural Networks (DCNNs). First, we trained the network on images of forward facing jumping spiders, where features such as the large principal eyes, small lateral eyes and outstretched legs were evident. Then we tested the classifier on images of jumping spider mimicking flies and moths. A probability value according to the likelihood of the image being a jumping spider or not was assigned by the classifier. We show that the classifierwas more likely to misidentify mimicking flies and moths as jumping spiders, but that this probability varied according to the species tested. We further tested it on images of flies from different angles and by taking into consideration the visual acuity of potential predators. Our results suggest that 1. Neural networks can be efficient toolsfor testing evolutionary hypotheses, 2. partial mimicry may be a result of the effect of the signaling angle and orientation of the mimics in combination with the likelihood that predators may depend on cognitive shortcuts to identify insects as prey. Further experiments incorporating the properties of the visual system of predators (such as vision in ultraviolet) would result in a better understanding of the evolution of partial mimicry.