bluuebunny/crossref_metadata_2025_split huggingface dataset:
David Operation in a patient with LDS and beta-thalassemia minor: A Case Report
Authors: Frieda-Maria Kainz , Podesser Bruno K. , Holzinger Christoph 
Published: December 2022

Abstract
We report about a 36-year-old European female patient who presented a growing ectasia of the ascending aorta of 40 mm, a sinus of valsalva of 47mm and a moderate aortic insufficiency. Also, she had an additional aneurysm in the truncus brachiocephalicus and multiple aneurysma in the arteria mammaria dextra. She was diagnosed as a Loeys-Dietz syndrome Typ RII because of a TGF-BETA receptor mutation. Additional she suffered from a beta-Thalassemia minor with hemoglobin levels of around 9 g/dL. During cardiac surgery the patient had to be cooled to at least 30°C to perform open aortic arch operation safely. This case report describes the effects of cooling, rewarming and the use of the cardiopulmonary bypass (CPB) during an extensive operation in a patient with beta-thalassemia minor.
Catalyst- and solvent-free synthesis, characterization, biological activity of Schiff bases and their metal (II) complexes derived from ferrocene
Authors: Liu Yuting , Wang Longrui , Yin Dawei 
Published: December 2022

Abstract
A novel efficient method for synthesizing ferrocene-based schiff bases and their metal (II) complexes was developed. The compounds were characterized by XRD and various spectroscopic techniques. In addition, their physicochemical studies were carried out using TGA-DTA analysis. The biological activities of ligands and their metal (II) complexes have been screened for in vitro antibacterial (such as S. aureus, B. cereus and E. coli), antifungal properties (such as A. niger and A. fumigatus). The results of these studies have revealed that Zn (II) complexes B11 was the most active against all bacterial strains, and antifungal activity was overall enhanced after complexation of the ligands.
Blunted Circadian Variation of Blood Pressure in NF1 Patients
Authors: Rivera Ana M. Cieza , Fernández-Villa Tania , Martín Vicente , Atallah Isis 
Published: December 2022

Abstract
Background: Cardiovascular events such as myocardial infarction and stroke are life-threatening complications associated with Neurofibromatosis type 1 (NF1). As previous studies observed an association between cardiovascular events and the loss of circadian variations of blood pressure, we investigated the 24h circadian rhythm of blood pressure in 24 NF1 patients (10 males and 14 females, with a mean age of 39.5 years ± 14 years) by using ambulatory blood pressure monitoring (ABPM).
Results: Only one-third of the patient were dippers, 50% were non-dippers, and 17% were risers. Reduced variability of systolic and diastolic nocturnal blood pressure was observed in NF1 patients compared with several studies of normotensive individuals (p=0.022). In NF1 patients, the blunted systolic nocturnal decline was significantly associated with cumulative tumor burden (presence of a plexiform neurofibroma and a high number of cutaneous neurofibromas) (p=0.002). This association was stronger for plexiform neurofibromas than for cutaneous neurofibromas (p=0.015 versus p=0.078).
Conclusions: Most NF1 patients in this study showed a blunted sleep-time BP pattern considered an independent risk factor for cardiovascular events in normotensive and hypertensive individuals. Periodic monitoring of BP should be included in NF1 follow-up guidelines to diagnose unmask hypertension or a non-dipper/riser pattern to implement therapeutic strategies.
Pyrene functionalized luminescent phenylalanine for selective detection of copper (II) ions in aqueous media
Authors: Tamrakar Arpna , Nigam Kamlesh Kumar , Maddeshiya Tarkeshwar , Pandey Mrituanjay D. 
Published: December 2022

Abstract
A novel pyrene-based fluorescent chemosensor 1
(pyren-1-ylmethyl)-L-phenylalanine was designed and synthesized by
combining 1-pyrenecarboxyaldehyde and L-phenylalanine.
1 was characterized by several analytical methods
and used as a fluorescent chemosensor for the selective and
sensitive detection of Cu2+ ions through
“turn-off” mechanism with a detection limit of 2 x
10− 8 M. 1 can also be used to detect
Cu2+ ions in a natural water sample and exhibits
gelation properties with high thermal stability.
Development of a supportive care needs eHealth application for patients with cervical cancer undergoing surgery: a feasibility study
Authors: Song Yongxia , Xia Lili , JU Xiaodi , Wang Wenjing , Ge Xiaoling , Hong Jingfang 
Published: December 2022

Abstract
Purpose
To inform the development of an eHealth application for patients with cervical cancer for monitoring supportive care needs, perceived care supply and quality of life.
Methods
A mixed-method design was conducted. The 19-month process involved: (a) a literature review to screen the components of applications, (b) a cross-sectional needs assessment for patients with cervical cancer to define the needs and application program draft, (c) expert consultation to refine the draft, (d) software development, and (e) a pilot testing and users experience description. Patients in the intervention group received a 7-day application intervention combined with usual care. Supportive care needs, perceived care supply, quality of life and user experience were collected.
Results
Literature review results conducted the importance of fully preparation before application development, especially the supportive care needs assessment. Subsequent supportive care needs investigation revealed the most urgent needs were informational needs and privacy protection. 43 expert suggestions for application improvement were refined. The new application contained the patient and the healthcare professional portal. At day 7, the pretest/posttest changes significant between-group differences in increasing perceived care supply and quality of life, with the intervention group exhibiting larger tendency on needs and supply than the control. Users had positive experience with the application.
Conclusions
This study provides feasibility of the application targeting access to supportive care, which may be effective for relieving patients’ needs and improving perceived supply and quality of life.
Performance analysis of the MWIR FSO link utilising SIMO and aperture averaging, and comparison with the SWIR FSO link under turbulence and various visibility conditions
Authors: MUKHERJEE SHIBABRATA , Paul Sujoy , Mazumdar Saswati 
Published: December 2022

Abstract
In this article, the authors study the effects of Single Input Multiple Output (SIMO) diversity technique, aperture averaging schemes, and wavelength diversity method on a Free Space Optical (FSO) communication, in the presence of varying turbulence regime strengths with a variety of meteorological circumstances, including extremely clear visibility, clear visibility, haze, fog, etc. Here, two wavelength types- Mid Wave Infrared (MWIR) (4000 nm) and ShortWave Infrared (SWIR) (1550 nm) have been taken into consideration for the use of the wavelength diversity approach. For the investigation of the overall performance at a 4 km link distance, up to 12 number of detectors on the receiver side have been considered, and for aperture averaging, 0.05 to 0.2 m receiver aperture diameter has been taken into consideration. The system performance has been improved by enlarging the receiver's aperture diameter and receiver array, and applying their impacts for both of the two wavelength FSO links, the performance evaluation has been carried out for the two wavelengths. According to the analytical findings, MWIR wavelength performs better in foggy situations than SWIR wavelength with distinct turbulence regimes at the mentioned link distances, and the SIMO scheme is also significantly more effective in unfavourable weather scenarios (such haze, fog, etc.) compared to aperture averaging scheme.
Construction and analysis of a diagnostic model for arthritis based on N6-methyladenosine-related genes
Authors: Lao ChenDeng , Luo XiaoLin , Cheng JianWen , Liao ShiJie , Huang HengZhen , Huang Qian , Zhao JinMin 
Published: December 2022

Abstract
Background
Arthritis is the most common irreversible inflammatory disease of the bone and joints. We aimed to investigate the relationship between m6A methylation and arthritis and provide new strategies for diagnosis.
Methods
Microarray data and clinical data of 94 arthritis patients were downloaded from the GEO database. A total of 37 m6A methylated genes were obtained from the literature. A combined analysis of the data identified differentially expressed m6A genes associated with arthritis. Then, the least absolute shrinkage selection operator (LASSO) regression analysis was used to construct a risk prediction model for m6A methylated genes. Subsequently, unsupervised clustering of hub genes was performed to analyze biological and immunological level differences between the two subgroups. Drug sensitivity analysis identified drugs with potential efficacy in arthritis.
Results
A diagnostic model of arthritis consisting of nine m6A methylated genes was obtained. Among them, YTHDF2, YTHDC1, and YTDC2 had the greatest effect on the model. Meanwhile, the two m6A-related genes subgroups differed at the level of the immune microenvironment.
Conclusion
This study obtained predictive models that can guide the diagnosis of arthritis and drugs that may have potential efficacy, thus providing new ideas to explore the potential molecular mechanisms of m6A methylation in disease development.
Identification of kinematic biomarkers for self-reported Parkinson's disease symptoms
Authors: Matzner Ayala , El-Hanany Yuval , Bar-Gad Izhar 
Published: December 2022

Abstract
Monitoring the motor fluctuations and the severity of symptoms over time in Parkinson's disease (PD) patients is crucial for quantifying the progression of the disease and the adjustment of personalized therapy. The widespread availability of wearable sensors enables remote tracking of patients and the development of digital biomarkers for motor-related symptoms derived from the kinematic data acquired from these devices. Despite the progress in remote monitoring of PD symptoms, most research has been conducted on controlled behavior in the clinic, which departs considerably from individual patients' everyday behaviors and daily routines. This manuscript describes our top-performing algorithm in the Biomarker & Endpoint Assessment to Track Parkinson’s Disease DREAM Challenge, funded by the MJFF, for predicting self-labeled PD symptom severity from free-behavior sensor data. To account for the self-labeled nature of the dataset and to capture each patient's subjective perception, we applied personalized automatic prediction algorithms consisting of ensembles of multiple random forest models followed by a predictability assessment of each patient. The results highlight the gradual approach required to develop new solutions in this field and constitute an important step forward in generating automatic and semi-automatic techniques that can facilitate the treatment of PD patients.
Supplementation of pitaya peel powder to cookie formulation: Effects of ratio of pitaya peel powder on the product quality, predicted glycemic index and antioxidant release during in vitro sequential digestion
Authors: Mai Thi Hai Anh , Tran Thi Thu Tra , Le Van Viet Man 
Published: December 2022

Abstract

Pitaya fruit processing generates a large amount of pitaya peel which contains high level of dietary fiber, betacyanins and phenolic compounds. In this study, pitaya peel powder was added to cookie formulation and the ratio of pitaya peel powder was varied from 0 to 25% of the amount of wheat flour. The obtained cookie samples were then used for analysis of proximate composition, physical properties, overall acceptability, predicted glycemic index and antioxidant release during in vitro sequential digestion. The higher the ratio of pitaya peel powder in the recipe, the greater the dietary fiber, betacyanin and phenolic contents and antioxidant activities of the product. High pitaya peel ratio also resulted in enhanced hardness and increased intensity of red color of the cookies; however, all cookie samples were considered acceptable. The use of pitaya peel significantly reduced the glycemic index of cookies and all supplemented pitaya peel cookies were classified as having low glycemic index. The release of betacyanins, phenolics and antioxidant activities from the cookie samples was recorded at the salivary, gastric, intestinal and colon steps during in vitro sequential digestion and the gastric digestion showed the highest release of antioxidant content and activity. The increased pitaya peel ratio in the cookie recipe improved the antioxidant activities of the soluble fractions at the four digestive steps.
Intratumor heterogeneity and clonal distribution of tumor-infiltrating lymphocytes revealed by multiregional T and B cell receptor repertoires in gastric cancer
Authors: Cheng Xiaojing , Han Jing , Guo Ting , Hu Ying , Du Hong , Li Xiaomei , Zhang Chaoting , Xing Xiaofang 
Published: December 2022

Abstract
Tumor-infiltrating lymphocytes (TILs) recognizing tumor neoantigens can be harnessed as a better prognosis for several human tumors. T and B cell receptor (TCR and BCR) repertoires are the key elements served as tags to track TILs in tumor immune microenvironment. This study intended to simultaneously profile TCR and BCR repertoires via ultra-deep sequencing of multiple tumor regions, adjacent normal mucosa tissues and peripheral blood from five gastric cancer (GC) patients. In parallel, immune-related molecule expression was evaluated for the immunological condition in multiregional tumors by real time-polymerase chain reaction (RT-PCR) and immunohistochemistry. We found that TILs and clonality with majority of T and B cell clones were restricted to each GC regions, obviously different with those of adjacent normal mucosa tissues and peripheral blood, representing T and B cells could react to tumor antigens and delineate the heterogeneity of tumor microenvironment. Especially for BCR repertoires, clonal amplification of B cells dispersedly congested in intratumor regions. There is no correlation between TCR and BCR repertoires in the same GC patient, suggesting that there was a spatio-temporal heterogeneity in GC immune microenvironment. These results suggested that spatially dependent and functionally diverse lymphocyte clones existed in individual GC, expanding our understanding of the adaptive immune response in GC patients.
Rapid, simple, and effective strategy to produce monoclonal antibodies targeting native protein structures using hybridoma technology
Authors: Sakaguchi Atsumi , Tanaka Yoichiro , Shoji Eiki , Sakamaki Rina , Matsuba Takao , Kurihara Yasuyuki 
Published: December 2022

Abstract
BACKGROUND: Monoclonal antibodies are essential in life science research and developing antibody drugs and test drugs. Various methods have been developed to obtain monoclonal antibodies, among which hybridoma technology continues to be widely used. However, developing a rapid and efficient method for obtaining conformation-specific antibodies using hybridoma technology remains challenging. We previously developed the membrane-type immunoglobulin-directed hybridoma screening (MIHS) method, which is a flow cytometry-based screening technique based on the interaction between the B-cell receptor expressed on the hybridoma cell surface and the antigen protein, to obtain conformation-specific antibodies.
RESULTS: In this study, we proposed a streptavidin-anchored ELISA screening technology (SAST) as a secondary screening method that retains the advantages of the MIHS method. Anti-enhanced green fluorescent protein monoclonal antibodies were generated as a model experiment, and their structural recognition abilities were examined. Examination of the reaction profiles showed that all monoclonal antibodies obtained in this study recognize the native protein structure. Furthermore, these monoclonal antibodies were classified into two groups: those with binding activities against partially denatured proteins and those with complete loss of binding activities. Next, when screening monoclonal antibodies by the MIHS method as the first screening, we found that monoclonal antibodies with stronger binding constants may be selected by double-staining for hybridomas with fluorescently labeled target antigens and fluorescently labeled B cell receptor antibodies.
CONCLUSIONS: The proposed two-step screening method, which incorporates MIHS and SAST, constitutes a rapid, simple, and effective strategy to obtain conformation-specific monoclonal antibodies generated through hybridoma technology. The novel monoclonal antibody screening strategy reported herein could accelerate the development of antibody drugs and antibody tests.
Transition Information Enhanced GatedGraph Neural Networks for Session-based Recommendation
Authors: Gao Shiwei , Zeng Yufeng , Dang Xiaochao , Dong Xiaohui 
Published: December 2022

Abstract
Session-based recommendation (SBR) is designed to predict the nextmost likely interactive item based on the current session. The mostadvanced methods in SBR employ graph neural networks and attentionmechanisms to model the adjacent item transition information from othersession sequences and the current session sequence, it employs positionaware attention to incorporate the reversed position information in anitem to learn the importance of each item in the session when generatingthe session representation. But these approaches have some problems.Firstly, uncorrelated items (noise) are inevitably introduced when usinginformation from other sessions. Secondly, reverse position coding makesit difficult to learn the sequence transduction relationship of items inthe session sequence. In this paper, we have proposed a novel sessionbased recommendation method called Transition Information EnhancedGated Graph Neural Network (TIE-GGNN) to solve the above problems. Specifically, TIE-GGNN learns two levels of session embedding,global information enhanced session embedding and transition information enhanced session embedding. The global information enhancedsession representation learning layer (GIESRLL) employs the information of other sessions and the current session to learn global-level sessionembedding, and the transition information enhanced session representation learning layer (TIESRLL) employs the items of the current sessionto learn new session embedding and integrates the time information intothe item representation in the session sequence for neighbor embedding learning, so as to further enhance the sequential transition relationshipin the session sequence. Experiments on three benchmark datasets havedemonstrated that TIE-GGNN is superior to other advanced methods.
A New Approach to Network Traffic Efficiency and DDOS Attack Detection on Software-defined Networks
Authors: Çakır Abdulkadir , Açıkgözoğlu Enes 
Published: December 2022

Abstract
Many devices have been connected to each other and a wide platform has been formed with the development of internet technologies. The continuous expansion of this platform has revealed requirements such as single-point management, accessibility, bandwidth management, and efficient use of the network. Considering that software-defined networks are systematically managed with software, it is predicted that they will meet the specified network requirements more easily. In this study, a model that detects both efficient use of the network and Distributed Denial of Service Attack (DDOS) attacks by clustering the bandwidths according to the network traffic history collected over the software-defined network is proposed. A dataset specific to the study was created to determine possible attacks and usages according to bandwidth. From the data in the dataset, 3 different datasets were created with the Kmeans clustering algorithm. A virtual network was created for the implementation of the model and tests were carried out on this network. Efficient use of the network is ensured by allocating bandwidth according to clusters created especially in multi-user, heavy-traffic networks. In addition, while the data is being collected, DDOS scanning is also performed to prevent possible attacks on the network.
Increased expression of RCN1P2, TPM3P9, and HSP90AB3P as pseudogenes in gastric cancer linked to proliferative, inflammatory and metastatic pathways through a competing endogenous RNAs network Running Title: Pseudogenes' role in gastric cancer pathogenesis
Authors: Sadeghi Ensieh Sagheb , Bioky Zahra Amrollahy , Hokmabadi Mahsa , Asadollahi Samira , Sarhadi Fatemeh , Dolatabadi Nasrin Fattahi , Zamani Atefeh , Mahdevar Mohammad , Samarghandian Saeed , Hashemi Mehrdad , Peymani Maryam 
Published: December 2022

Abstract
Introduction: Changes in the expression of pseudogenes have been demonstrated to play a role in the pathogenesis of various malignancies in studies. The goal of this study was to find pseudogenes with significant expression alterations in gastric cancer (GC) that could be implicated in the disease's development via the competing endogenous RNAs (ceRNAs) network.
Methods: Pseudogenes, mRNAs, and microRNAs whose expression changes considerably in GC specimens were identified using the cancer genome atlas (TCGA) data. The ceRNAs network was constructed using the miRWalk, miRTarBase, and DIANA-LncBase databases. The cox regression test was performed to assess the correlation between candidate genes and patient prognosis using TCGA-derived GC clinical data. Finally, using the RT-qPCR method, the in silico results were evaluated using GC samples and adjacent normals.
Results: The ceRNA network revealed that pseudogenes such as RCN1P2, TPM3P9, and HSP90AB3P were most connected to changed mRNAs and microRNAs in GC. The findings of subnet enrichment for each of the pseudogenes mentioned revealed that the related mRNAs are involved in cell proliferation, inflammation, and metastatic pathways. Furthermore, elevated expression of several mRNAs linked to potential pseudogenes was linked to a poor prognosis. The results of RCN1P2, TPM3P9and HSP90AB3P expression levels in TCGA and tissue samples showed that their expression increased significantly in GC.
Conclusion: The expression of RCN1P2, TPM3P9, and HSP90AB3P is dramatically enhanced in GC. They can also influence the survival rate of GC patients by regulating pathways involved in cell proliferation, inflammation, and metastasis via the ceRNAs network.