bluuebunny/crossref_metadata_2025_split huggingface dataset:
LncRNA FEZF1‐AS1 accelerates multiple myeloma progression by regulating IGF2BP1/BZW2 signaling
Authors: Long Xingxing , Wen Feng , Li Junjun , Huang Xiaoqing 
Published: May 2023

AbstractMultiple myeloma (MM) is the second largest hematological tumor with clonal proliferation of malignant plasma cells. Growing reports have revealed that the dysregulation of long non‐coding RNA (lncRNA) is involved in the MM progression. Nevertheless, lncRNA FEZF1 antisense RNA 1 (FEZF1‐AS1) remain not deeply explored. The RNA transcripts and protein level of MM‐associated molecule were measured by quantitative real‐time polymerase chain reaction or western blot assays, respectively. The clinical correlation was analyzed by Pearson analysis. Molecular interactions among lncRNA FEZF1‐AS1, basic leucine zipper and W2 domain 2 (BZW2) and insulin‐like growth factor 2 mRNA‐binding protein 1 (IGF2BP1) were verified by RNA immunoprecipitation and RNA pull‐down assays. The survival of MM cells was detected by cell counting kit‐8 and flow cytometry assays. Xenograft tumor in vivo was performed to assess tumor growth. The RNA transcripts of lncRNA FEZF1‐AS1, BZW2 and IGF2BP1 were upregulated in MM samples compared to those in healthy donors. Knockdown of lncRNA FEZF1‐AS1 could inhibit the proliferation and induce cell apoptosis in vitro and in vivo. Besides, lncRNA FEZF1‐AS1 could maintain the stability of BZW2 mRNA by interacting IGF2BP1. Moreover, BZW2 silence also downregulated the proliferation but enhanced apoptosis of MM cells, while BZW2 overexpression had an opposite role, which dramatically reversed the regulatory roles of lncRNA FEZF1‐AS1. Altogether, lncRNA FEZF1‐AS1 facilitated MM development by regulating IGF2BP1/BZW2 signaling, suggesting that lncRNA FEZF1‐AS1 might be a candidate for MM treatment.
A case of eosinophilic cystitis coexisting of superficial bladder cancer, mimicking muscle‐invasive cancer
Authors: Suhara Yushi , Urabe Fumihiko , Hashimoto Masaki , Nakazono Minoru , Iwatani Kosuke , Tsuzuki Shunsuke , Sato Shun , Takahashi Hiroyuki , Kimura Takahiro 
Published: May 2023

IntroductionHere, we present a rare case of eosinophilic cystitis coexisting with bladder cancer, which appeared to be an invasive carcinoma on imaging.Case presentationA 46‐year‐old man presented with urinary urgency. Computed tomography revealed an irregular and thickly enhanced bladder wall, which seemed to be invasive bladder cancer. Cystoscopy revealed a raspberry‐like mass lesion on the entire bladder circumference. Pathological diagnosis after transurethral resection was pathological T1 urothelial carcinoma. After a thorough discussion of treatment options, the patient elected to receive intravesical Bacillus Calmette‐Guérin. Three months after Bacillus Calmette‐Guérin administration, no residual disease was confirmed by transurethral biopsy, and no recurrence was observed over 2 years. As peripheral eosinophilia and submucosa eosinophil infiltration were identified, the patient was diagnosed with coexisting eosinophilic cystitis and urothelial carcinoma.ConclusionClinicians should consider the possibility of eosinophilic cystitis with superficial bladder cancer coexistence in patients who present with an irregular and thick bladder wall.
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images
Authors: Gull Sahar , Akbar Shahzad , Naqi Syed Muhammad 
Published: May 2023

AbstractBrain tumor is the 10th major cause of death among humans. The detection of brain tumor is a significant process in the medical field. Therefore, the objective of this research work is to propose a fully automated deep learning framework for multistage classification. Besides, this study focuses on to develop an efficient and reliable system using a convolutional neural network (CNN). In this study, the fast bounding box technique is used for segmentation. Moreover, the CNN layers‐based three models are developed for multistage classification through magnetic resonance images on three publicly available datasets. The first dataset is obtained from Kaggle Repository (Dataset‐1), the second dataset is known as Figshare (Dataset‐2), and the third dataset is called REMBRANDT (Dataset‐3) to classify the MR images into different grades. Different augmentation techniques are applied to increase the data size of MR images. In pre‐processing, the proposed models achieved higher Peak Signal‐to‐Noise ratio to remove noise. The first proposed deep CNN framework mentioned as Classification‐1 has obtained 99.40% accuracy, which classified MR images into two classes, that is (i) normal and (ii) abnormal, while the second proposed CNN framework mentioned as Classification‐2 has obtained 97.78% accuracy, which classified brain tumor into three types, which are meningioma, glioma, and pituitary. Similarly, the third developed CNN framework mentioned as Classification‐3 has obtained 98.91% accuracy that further classified MR images of tumors into four different classes as: Grade I, Grade II, Grade III, and Grade IV. The results demonstrate that the proposed models achieved better performance on three large and diverse datasets. The comparison of obtained outcomes shows that the developed models are more efficient and effective than state‐of‐the‐art methods.
Ready Biodegradability study and insights with ultra‐high‐performance liquid chromatograph coupled to a quadrupole time of flight of a Metformin‐based drug and of Metarecod, a natural substance‐based medical device
Authors: Proietti Giacomo , Burico Michela , Quintiero Claudio Marzio , Giovagnoni Emiliano , Mercati Valentino , Gianni Mattia , Mattoli Luisa 
Published: May 2023

AbstractDrugs are indispensable products with incontrovertible benefits to human health and lifestyle. However, due to their overuse and improper disposal, unwanted residues of active pharmaceutical ingredients (APIs) have been found in different compartments of the environment and now are considered as contaminants of emerging concern (CECs). Therefore, they are very likely to have a boomerang effect on human health, because they can enter into the food cycle. In the current legislation framework, one of the tests first used to evaluate biodegradation of APIs as well as chemical compounds is the ready biodegradability test (RBT). This test can be performed according to a series of protocols prepared by Organization for Economic Co‐operation and Development (OECD) and usually is carried out on pure compounds. RBTs, largely used due to their relatively low cost, perceived standardization, and straightforward implementation and interpretation, are known to have a number of well‐documented limitations. In this work, following a recently reported approach, we propose to improve the evaluation of the RBT results applying advanced analytical techniques based on mass spectrometry, not only to the APIs but also to complex formulated products, as the biodegradability can potentially be affected by the formulation. We evaluated the ready biodegradability of two therapeutic products, Product A—a drug based on Metformin—and Product B—Metarecod a natural substance‐based medical device—through the acquisition of the fingerprint by ultra‐high‐performance chromatograph coupled to a quadrupole time of flight (UHPLC‐qToF) of samples coming from the RBT OECD 301F. Untargeted and targeted evaluation confirmed the different behavior of the two products during the respirometry‐manometric test, which showed a difficulty of the Metformin‐based drug to come back in the life cycle, whereas Metarecod resulted ready biodegradable. The positive results of this research will hopefully be useful in the future for a better evaluation of the risk/benefit ratio of APIs extended to the environment.
The more the merrier or too many cooks spoil the pot? A meta‐analytic examination of team size and team effectiveness
Authors: Bernerth Jeremy B. , Beus Jeremy M. , Helmuth Catherine A. , Boyd Terrance L. 
Published: May 2023

SummaryScholars often implicitly assume that team size is associated with team effectiveness, but there is evidence of meaningful variability in this relationship that may correspond with competing theoretical perspectives. In particular, positive effect sizes between team size and team effectiveness correspond with a human capital perspective; negative effect sizes correspond with a process loss perspective. This study tests a series of contextual moderators aimed at evaluating these competing theories. Our team‐level meta‐analysis (k = 208, N = 21 435) confirmed a null, yet extremely variable, relationship (
= .00) between team size and team task performance. Importantly, we find support for both theoretical perspectives through our moderator analyses, with team size being more strongly associated with performance when tasks are complex, consistent with a human capital perspective, but less strongly associated with performance when high coordination requirements are coupled with low task complexity, consistent with a process loss perspective. Contrary to our expectations, the relationship between team size and team task performance did not vary as a function of national culture. Meta‐analyses of associations between team size and other team‐level effectiveness indicators revealed connections with deviant behaviors (
= .17) and passive withdrawal behaviors (
= .13) and a small negative relationship (
= −.04) with team attitudes. We discuss the theoretical and practical implications of these findings.
Analysis of Himalayan summer monsoon rainfall characteristics using Indian High‐Resolution Regional Reanalysis
Authors: Saini Rohtash , Attada Raju 
Published: May 2023

AbstractThis study assesses the high‐resolution Indian Monsoon Data Assimilation and Analysis (IMDAA) dataset in representing the Indian summer monsoon (ISM) precipitation over the Himalayan region against ground‐based gridded (IMD), satellite‐based (TRMM, GPM‐IMERG and CHIRPS) and ERA5 reanalysis datasets at seasonal mean, trends, interannual and diurnal timescales. We first evaluate the relative performance of IMDAA rainfall using various statistical performance measures against the aforementioned datasets. Analysis suggests that IMDAA successfully captures the spatial distribution of ISM mean precipitation and seasonal cycle of daily rainfall over the Himalayas as in gridded, satellite and ERA5 reanalysis datasets, albeit with some overestimation in magnitude. Furthermore, statistical results show that IMDAA exhibits a wetter tendency, more RMSE, and higher precipitation variations over the foothills of the Himalayas. The results of the skill score determine that IMDAA diligently captured moderate and extreme precipitation events but was unable to detect heavy and low‐precipitation events. Our analysis further reveals that IMDAA shows a positive trend in mean ISM precipitation over the western Himalayan region, in line with CHIRPS, IMERG, IMD, ERA5 and TRMM datasets. Investigation of rainfall trends from station observations over the foothills of the Himalayas revealed mixed trends, with some stations (Tehri, Uttarkashi and Mukhim) showing an increasing trend and others (Dunta and Bhatwari) showing a decreasing trend. However, IMDAA reanalysis agrees well with all gauge station‐based trends. Additionally, the interannual variability of Himalayan precipitation is well represented in IMDAA as its principal component correlates well with its seasonal precipitation anomalies. It is found that the leading empirical orthogonal function mode of IMDAA accounts 24% of the total variance, demonstrating a single mode of variability. Furthermore, it is noticeable that strong convective activity during wet ISM years than in dry years, suggesting that the IMDAA can capture these variations successfully compared to ERA5. The interannual variability of ISM precipitation over the Himalayas is strongly associated with the El Niño–Southern Oscillation, which is well represented by IMDAA. In addition, IMDAA successfully replicated the diurnal cycle of precipitation over the central Himalayas, showing the presence of bimodal precipitation maxima: one in the afternoon and another one in the early morning, which is consistent with satellite observations. Thus, our results suggest that the IMDAA is a valuable dataset to understand the spatial–temporal pattern of summer precipitation over such a complex high mountain Asian region.
Optimum selection criteria for secondary cytoreductive surgery in patients with recurrent epithelial ovarian cancer: A multicenter study from the Gynecologic Oncology Research Investigators coLLaborAtion group (GORILLA‐3001)
Authors: Son Joo‐Hyuk , Kong Tae‐Wook , Park Soo Jin , Lee Eun Ji , Kim Hee Seung , Kim Nam Kyeong , Kim Yeorae , Hwang Woo Yeon , Suh Dong Hoon , Kim Tae Hun , Yang Eun Jung , Shim Seung‐Hyuk , Chang Suk‐Joon 
Published: May 2023

AbstractBackgroundTo identify those most likely to benefit from secondary cytoreductive surgery (SCS), we evaluated the survival outcomes and factors predictive of prognosis in patients with recurrent ovarian cancer.MethodsWe retrospectively reviewed the medical records of patients with recurrent ovarian cancer treated at five high‐volume Korean hospitals between 2010 and 2021. Recurrence characteristics, treatment methods, and potential predictors of survival were compared between the chemotherapy and surgery groups.ResultsAmong all 670 patients, 88.1% had initial stage III/IV disease, and 215 (32.1%) underwent SCS. Among patients who underwent SCS, only those who achieved complete resection exhibited improved survival. Even in patients with residual disease < 1 cm after SCS, we observed no significant survival benefit (p = 0.942). In the multivariate Cox analysis, residual disease at primary surgery, progression‐free interval, recurrence sites (≤3 regions or limited carcinomatosis), ascites, and SCS were significant predictors of survival. Meanwhile, the only factor predictive of complete resection after SCS was recurrence sites (p < 0.001).ConclusionsThe benefits of SCS appear to be exclusive to cases of complete resection. We propose limited regional platinum‐sensitive recurrence (≤3 regions or limited carcinomatosis) without ascites as the optimum selection criteria for SCS.
The effects of different photon beam energies in stereotactic radiosurgery with cones
Authors: Ding George X. , Homann Kenneth L. 
Published: May 2023

AbstractBackgroundStereotactic radiosurgery (SRS) relies on small fields to ablate lesions. Currently, linac based treatment is delivered via circular cones using a 6 MV beam. There is interest in both lower energy photon beams, which can offer steeper dose fall off as well as higher energy photon beams, which have higher dose rates, thus reducing radiation delivery times. Of interest in this study is the 2.5 MV beam developed for imaging applications and both the 6 and 10 MV flattening‐filter‐free (FFF) beams, which can achieve dose rates up to 2400 cGy/min.PurposeThis study aims to assess the benefit and feasibility among different energy beams ranging from 2.5 to 10 MV beams by evaluating the dosimetric effects of each beam and comparing the dose to organs‐at‐risk (OARs) for two separate patient plans. One based on a typical real patient tremor utilizing a 4 mm cone and the other a typical brain metastasis delivered with a 10 mm cone.MethodsThe Monte Carlo codes BEAMnrc/DOSXYZnrc were used to generate beams of 2.5 MV, 6 MV‐FFF, 6 MV‐SRS, 6 MV, 10 MV‐FFF, and 10 MV from a Varian TrueBeam except 6 MV‐SRS, which is taken from a Varian TX model linear accelerator. Each beam's energy spectrum, mean energy, %dd curve, and dose profile were obtained by analyzing the simulated beams. Calculated patient dose distributions were compared among six different energy beam configurations based on a realistic treatment plan for thalamotomy and a conventional brain metastasis plan. Dose to OARs were evaluated using dose–volume histograms for the same target dose coverage.ResultsThe mean energies of photons within the primary beam projected area were insensitive to cone sizes and the values of percentage depth–dose curves (%dd) at d = 5 cm and SSD = 95 cm for a 4 mm (10 mm) cone ranges from 62.6 (64.4) to 82.2 (85.7) for beam energy ranging from 2.5 to 10 MV beams, respectively. Doses to OARs were evaluated among these beams based on real treatment plans delivering 15 000 and 2200 cGy to the target with a 4 and 10 mm cone, respectively. The maximum doses to the brainstem, which is 10 mm away from the isocenter, was found to be 434 (300), 632 (352), 691 (362), 733 (375), 822 (403), and 975 (441) cGy for 2.5 MV, 6 MV‐FFF, 6 MV‐SRS, 6 MV, 10 MV‐FFF, and 10 MV beams delivering 15 000 (2200) cGy target dose, respectively.ConclusionUsing the 6 MV‐SRS as reference, changes of the maximum dose (691 cGy) to the brain stem are −37%, −9%, +6%, +19%, and 41% for 2.5 MV, 6 MV‐FFF, 6 MV, 10 MV‐FFF, and 10 MV beams, respectively, based on the thalamotomy plan, where the “‐” or “+” signs indicate the percentage decrease or increase. Changes of the maximum dose (362 cGy) to brain stem, based on the brain metastasis plan are much less for respective beam energies. The sum of 21 arcs beam‐on time was 39 min on our 6 MV‐SRS beam with 1000 cGy/min for thalamotomy. The beam‐on time can be reduced to 16 min with 10 MV‐FFF.
Naringin protects against inflammation and apoptosis induced by intestinal ischemia–reperfusion injury through deactivation of cGAS‐STING signaling pathway
Authors: Gu Lidan , Wang Fei , Wang Yilin , Sun Deen , Sun Yiming , Tian Tingting , Meng Qiang , Yin Lianhong , Xu Lina , Lu Xiaolong , Peng Jinyong , Lin Yuan , Sun Pengyuan 
Published: May 2023

AbstractEffective amelioration of ischemia/reperfusion (I/R)‐induced intestinal injury and revealing its mechanisms remain the challenges in both preclinic and clinic. Potential mechanisms of naringin in ameliorating I/R‐induced intestinal injury remain unknown. Based on pre‐experiments, I/R‐injured rat intestine in vivo and hypoxia–reoxygenation (H/R)‐injured IEC‐6 cells in vitro were used to verify that naringin‐alleviated I/R‐induced intestinal injury was mediated via deactivating cGAS‐STING signaling pathway. Naringin improved intestinal damage using hematoxylin and eosin staining and decreased alanine aminotransferase and aspartate aminotransferase contents in plasma. Naringin decreased inflammation characterized by reducing IL‐6, IL‐1β, TNF‐α, and IFN‐β contents in both plasma and IEC‐6 cells. Naringin mitigated oxidative stress via recovering superoxide dismutase, glutathione, and malondialdehyde levels in the I/R‐injured intestine. Naringin reduced the expression of apoptotic proteins, including Bax, caspase‐3, and Bcl‐2, and reduced terminal deoxynucleotidyl transferase‐mediated dUTP‐biotin nick‐end labeling‐positive cells both in vivo and in vitro, and decreased Hoechst 33342 signals in vitro. cGAS, STING, p‐TBK1, p‐IRF3, and NF‐κB expressions were up‐regulated both in vivo and in vitro respectively and the up‐regulated indexes were reversed by naringin. Transfection of cGAS‐siRNA and cGAS‐cDNA significantly down‐regulated and up‐regulated cGAS‐STING signaling‐related protein expressions, respectively, and partially weakened naringin‐induced amelioration on these indexes, suggesting that deactivation of cGAS‐STING signaling is the crucial target for naringin‐induced amelioration on I/R‐injured intestine.
Interaction effects of multiple input parameters on the integrity of safety instrumented systems with the k‐out‐of‐n redundancy arrangement under uncertainties
Authors: Xia Yanjun , Ding Linfei , Tang Zhang‐Chun 
Published: May 2023

AbstractA safety instrumented system (SIS) is extensively used to prevent or reduce risk. The Probability of Failure to perform its intended functions on Demand (PFD) of a practical SIS may vary within multiple safety integrity levels (SIL) due to uncertainties relevant to input parameters. An SIS will be considered to be unsafe when its PFD is greater than a prescribed value, and unsafety probability (UP) is employed to measure the unsafety degree of the investigated SIS in this work. Redundancy architecture is commonly employed to improve the reliability of an SIS. This paper investigates the effects of multiple uncertain input parameters on the UP of an SIS with the k‐out‐of‐n redundancy arrangement. We derive the detailed formulations of the sensitivity for such effects and we also discuss the physical meaning of the proposed sensitivity. An example is employed to demonstrate the proposed sensitivity and the results show that the estimated sensitivity values will be kept to be unchanged with respect to the redundancy when the redundancy is high, whereas the results will vary with the redundancy when the redundancy is low. Meanwhile, we provide a comparison of the results for the truncated uncertain parameters and the non‐truncated uncertain parameters. The results for truncated uncertain parameters and non‐truncated uncertain parameters will approach the same values as the truncated region of the uncertain parameter reduces to zero. The results show that we can approximate the sensitivities of the truncated parameters by the ones of the non‐truncated parameters with less computation time when the truncated region is less than 10−3.
Effects of the learning curve on operative time and lymph node harvesting during robotic gastrectomy
Authors: Staderini Fabio , Barbato Giuseppe , Bottari Andrea , Russo Edda , Fortuna Laura , Giudici Francesco , Coratti Francesco , Stacchini Lorenzo , Indennitate Giampiero , Cianchi Fabio 
Published: May 2023

AbstractBackgroundGastric cancer is the fifth most frequent cancer globally. The introduction of minimally invasive surgery for gastric cancer aimed at reducing post‐operative morbidity and hospital length of stay. Although the role of laparoscopic gastrectomy has been established, robotic gastric surgery has only recently gained popularity. The purpose of this study was to evaluate, with a multidimensional analysis, the learning curve of a single surgeon with extensive experience in laparoscopic gastrectomy.MethodsWe prospectively collected data from 104 gastric cancer patients who underwent surgery with a robotic approach from June 2015 to June 2019 by a single surgeon. We performed 21 total gastrectomies (TGs) and 83 subtotal gastrectomies (STGs). A D2 lymphadenectomy was performed in all the patients. Proximal and distal resection margins were tumoour‐free in all patients. There were no intraoperative complications, and no conversions occurred.ResultsThe plateau of the learning curve based on harvesting lymph nodes and operative time was not reached for TG. The learning curve of operative time for STG could be divided into three different phases: an early or learning phase from 1 to 27 cases, an intermediate or proficiency phase from 28 to 48 cases, and a late or mastery phase from 49 to 83 cases. The learning curve for harvesting lymph nodes was achieved after 41 cases in the STG group.ConclusionThis study shows that robotic gastrectomy is a complex procedure with a significant multiphasic learning curve. Nevertheless, the robotic learning curve seems to be more rapid than that of conventional laparoscopy. Most importantly, our results suggest that the robotic technique can provide oncological adequacy in terms of lymph node harvesting even in the very first phase of the learning curve.