bluuebunny/crossref_metadata_2025_split huggingface dataset:
Breakage Monitoring of Executive Body Cutters in Continuous Miner According to Mechanical Vibration Parameters. Part 2. Methodology for Creating a System for Mobile Monitoring of Cutter Breakages According to the Parameters of Mechanical Vibrations of the Gearbox with Natural Frequency
Authors: Sheleg V. K. , Romanovich A. S. , Konopliani I. A. 
Published: April 2022

The development of research in the field of creating a mobile monitoring system for diagnosing the technical condition of mining equipment in terms of mechanical vibration parameters is one of the most science-intensive areas. The paper presents the results of investigations on the possibility of isolating the mechanical vibrations of the handles with a natural frequency of 5 Hz, which occur with a greater or lesser amplitude in almost all registered spectra, arising from breakages of cutters on the cutting discs of double-flow drives of the executive body of a mining machine. Therefore, it can be used for operational mobile monitoring of breakages in the cutters of the executive bodies of mining machines. An analysis of vibrations has confirmed the fact that they are transmitted to almost all non-rotating parts of the combine, where they can be registered, which allows them to be used for mobile automated monitoring of cutter breakages on cutting discs. On the example of the combine “Universal-600” it has been found that the most convenient when registering these vibrations from the standpoint of the absence of the need to introduce a signal transmission module from the rotating parts of the combine into the measuring path can be considered the placement of a vibration sensor on the body of the input gearbox of the executive body drive with its orientation in the direction combine movements, where oscillations with a frequency of 5 Hz are prevalent and it is quite simple to isolate them from the low-frequency range using standardized low-frequency one-third octave filters. The paper proposes a technique for creating a system for automated mobile monitoring of cutter breakages based on the parameters of mechanical vibrations of cutting discs with natural frequency.
Developing and pilot testing an oral health screening tool for diabetes care providers
Authors: George Ajesh , Poudel Prakash , Kong Ariana , Villarosa Amy , Calache Hanny , Arora Amit , Griffiths Rhonda , Wong Vincent , Gussy Mark , Martin Rachel E , Lau Phyllis 
Published: April 2022

Abstract
BackgroundPeople with poorly managed diabetes are at greater risk of periodontal disease. Periodontal disease that is not effectively managed can affect glycaemic levels. Diabetes care providers, including general practitioners and diabetes educators, are encouraged to promote oral health of their clients. However, valid and reliable oral health screening tools that assess the risk of poor oral health, that are easy to administer among non-dental professionals, currently do not exist. Existing screening tools are difficult to incorporate into routine diabetes consultations due to their length. Thus, this study aimed to develop and pilot a short oral health screening tool that would identify risk of existing oral diseases and encourage appropriate referrals to the dental service.MethodsA three-item screening tool was developed after a comprehensive review of the literature and consensus from an expert panel. The tool was then piloted as part of a larger cross-sectional survey of 260 adults with diabetes who were accessing public diabetes clinics at two locations in Sydney, Australia. As part of the survey, participants completed the three-item screening tool and a 14-item validated tool, the Oral Health Impact Profile (OHIP-14), which has been used previously in the preliminary validation of screening tools. Sensitivity and specificity analyses were then undertaken comparing the results of the two tools. ResultsA statistically significant correlation was found between the shorter screening tool and the OHIP-14 (rho=0.453, p<0.001), indicating adequate validity. The three-item tool had high sensitivity (90.5%, 95% CI 84.9%, 94.7%), with a specificity of 46.3% (95% CI 37.7%, 55.2%). The negative predictive value was 81.4 % (95% CI 71.3, 89.3). No single item performed as well regarding sensitivity and negative predictive value when compared to the three items collectively.ConclusionsThe three-item screening tool developed was found to be valid and sensitive in identifying risk of poor oral health, requiring oral health referrals, among people with diabetes in this pilot. This is a simple, accessible tool that diabetes care providers could incorporate into their routine consultations. Further validation against comprehensive dental assessments is needed to reassess the tool’s specificity and sensitivity in diverse settings.
A Fatal Case of Streptococcal Toxic Shock Syndrome Caused By Genotype Emm1 In The Third Trimester of Pregnancy, China
Authors: Luo Yasha , Zheng Minling , Chen Yanyuan , Gu Chunming , Lv Lijuan , Mu Xiaoping 
Published: April 2022

Abstract
Background: Group A streptococcal (GAS) toxic shock syndrome (TSS) is a rare invasive disease, causing a high risk of maternal and fetal mortality during pregnancy. We report a fatal case of a female caused by GAS-TSS in the third trimester of pregnancy in Guangzhou, China. Case presentation: The patient is a 33-year-old female who presented at 37 weeks’ gestation with a history of three hours fever. The patient underwent an early onset and rapid progression with dramatic clinical picture and laboratory characters within 24 hours. The neonate survived after an aggressive anti-infection treatment.The GAS strains were isolated from two bottles of blood cultures and airway secretion culture, which confirmed as Streptococcus pyogenes associated with genotype emm1 by molecular analysis.Conclusion: Dramatic clinical picture and laboratory characters of the pregnant woman presented here might help improve clinicians' awareness and recognition of Streptococcus pyogenes, which could be of great importance for the early diagnosis of GAS- TSS in pregnancy.
Review of Voltage-gated Calcium Channel α2δ Subunit Ligands for the Treatment of Chronic Neuropathic Pain and Insight into Structure-activity Relationship (SAR) by Pharmacophore Modeling
Authors: Chen Yuting , Wu Qingqing , Jin Zhengsheng , Qin Yanlan , Meng Fancui , Zhao Guilong 
Published: April 2022

Background:Neuropathic pain (NP) is a complex symptom related to nerve damage. The discovery of new drugs for treating chronic NP has been continuing for several decades, while more progress is still needed because of the unsatisfactory efficacy and the side effects of the currently available drugs. Among all the approved drugs for chronic NP, voltage- gated calcium channel (VGCC) α2δ subunit ligands, also known as gabapentinoids, are among the first-line treatment and represent a class of efficacious and relatively safe therapeutic agents. However, new strategies are still needed to be explored due to the unsatisfied response rate.Objectives:The aim of the study is to review the latest status of the discovery and development of gabapentinoids for the treatment of chronic NP by covering both the marketed and the preclinical/clinical ones. Moreover, it aims to analyze the structure-activity relationship (SAR) of gabapentinoids to facilitate the future design of structurally novel therapeutic agents targeting the VGCC α2δ subunit.Methods:We searched PubMed Central, Embase, Cochrane Library, Web of Science, Scopus, and Espacenet for the literature and patents on diabetic peripheral neuropathic pain, postherpetic neuralgia, fibromyalgia, voltage-gated calcium channel α2δ subunit and related therapeutic agents from incipient to June 10, 2021. The SAR of gabapentinoids was analyzed by pharmacophore modeling using the Phase module in the Schrödinger suite.Results:A variety of gabapentinoids were identified as VGCC α2δ ligands that have ever been under development to treat chronic NP. Among them, four gabapentinoids are marketed, one is in the active late clinical trials, and eight have been discontinued. Pharmacophore models were generated using the phase module in the Schrödinger suite, and common pharmacophores were predicted based on pharmacophoric features and analyzed.Conclusion:The latest progress in the discovery and development of gabapentinoids for the treatment of chronic NP was reviewed. Moreover, the structure-activity relationship (SAR) of gabapentinoids has been analyzed by pharmacophore modeling, which will be valuable for the future design of structurally novel therapeutic agents targeting the VGCC α2δ subunit.
TROP2 Down-regulated DSG2 to Promote Gastric Cancer Cell Invasion and Migration by EGFR/AKT and DSG2/PG/β-Catenin Pathways
Authors: Yang Zhiping , Feng Zhenqing , Yang Tingting , Jia Lizhou , Bian Susu , Chang Xinxia , Zhang Qian , Tang Qi , Zhu Jing 
Published: April 2022

Background:Gastric cancer (GC) is the fourth most commonly found cancer and the second- highest cause of cancer-related death worldwide. TROP2 overexpression is closely related to many cancers, including gastrointestinal tumors. DSG2 is an important protein in cell adhesion, and its loss affects cell migration.Aims and Objective:This study aimed to explore the specific mechanism of TROP2 in promoting gastric cancer and provide a basis for the prevention and treatment of gastric cancer.Method:DSG2 was identified as an interacting protein of TROP2 in GC cells by coimmunoprecipitation and mass spectrometry. The regulated behavior of TROP2 on DSG2 expression was investigated with TROP2 over-expressure or knockdown. Cell-cell adhesion capacity mediated by DSG2 was evaluated by adhesion-related assays. Electron microscope observation was made for accessing GC tumor desmosome assembly. Proteins in EGFR/AKT and DSG2/PG/β-catenin pathways were evaluated by western blotting.Result:This study suggests that abundant expression of TROP2 in GC cells lessened DSG2 levels as well as desmosome adhesion, increased cell invasion and migration, and promoted malignant progression through EGFR/AKT and DSG2/PG/β-catenin pathways.Conclusion:TROP2 promotes cell invasion and migration in gastric cancer by decreasing DSG2 expression through EGFR/AKT and DSG2/PG/β-catenin pathways.
Review on Deep Learning Methodologies in Medical Image Restoration
and Segmentation
Authors: Anandharaj Hepzibah Christinal , Hephzibah R. , Kowsalya G. , Jayanthi R. , Chandy D. Abraham 
Published: April 2022

Abstract:
This paper presents a comprehensive review of two major image processing tasks such as restoration and segmentation in the medical field on deep learning perspective. These processes are essential as restoration helps in the removal of noise and segmentation helps in extracting the particular region of interest of an image which is essential for accurate diagnosis and treatment. This paper mainly focuses on deep learning techniques as it plays a prominent role over other conventional techniques in handling a large number of datasets in the medical field and also provides accurate results. In this paper, we reviewed the application of different convolutional neural network architectures in the restoration and segmentation processes. Based on the results in the case of image restoration, TLR-CNN and Stat-CNN are promising in achieving better PSNR, noise suppression, artifact suppression and improves the overall image quality. For segmentation process, LCP net achieves the Dice score as 98.12% and sensitivity as 98.95% in the cell contour segmentation;3D FCNN model is found to be the best method for segmentation of brain tumors. This review work shows that deep learning methodologies can be a better alternative for medical image restoration and segmentation tasks as the data size is an important concern as on today.
Attenuation of Lipopolysaccharide-induced Liver Injury by Bone Marrow
Mesenchymal Stem Cells via Inhibiting the NLRP3 Inflammasome and
Hepatocyte Pyroptosis
Authors: Yin Yunyu , Tang Lu , Liu Kui , Ding Xuefeng , Wang Daqing , Chen Li 
Published: April 2022

Background:
The transplantation of bone marrow mesenchymal cells (BMSCs) has been
shown to be an effective mean for treating sepsis-related organ damage. Pytoptotic cell death, in turn, has
recently been identified as a key driver of sepsis-related damage. At present, there are few studies on the
effect of BMSC transplantation on pyroptotic cell death.

Objective:
We explored the ability of BMSCs to attenuate hepatic damage in a pyroptosis-related manner
in a rat model of lipopolysaccharide (LPS)-induced liver injury.

Methods:
Following injury modeling and BMSC transplantation, we assessed the expression of the NLR
family, pyrin domain containing 3 (NLRP3) inflammasome, and key downstream pyroptosis-related signaling
molecules.

Results:
It was found that BMSC transplantation was sufficient to significantly improve rat survival after
LPS injection. A significantly reduced expression of the pyroptosis-related proteins NLRP3, caspase-1,
IL-1β, and IL-18 in rats that had undergone BMSC transplantation compared to control animals was observed.
Notably, this activity was superior to single-agent administration of the NLRP3 inhibitor
MCC950.

Conclusion:
Our data suggest that BMSC transplantation may alleviate LPS-induced hepatic damage by
suppressing the activation of the NLRP3 inflammasome and the induction of pyroptotic cell death.
Identifying Biomarkers of Cisplatin Sensitivity in Non-Small Cell Lung
Cancer via Comprehensive Integrative Analysis
Authors: Xie Xin-Ping , Yang Wulin , Zhang Lei , Wang Hong-Qiang 
Published: April 2022

Background:
Only 30-40% of non-small cell lung cancer (NSCLC) patients are clinically
sensitive to cisplatin-based chemotherapy. Thus, it is necessary to identify biomarkers for personalized
cisplatin chemotherapy in NSCLC. However, data heterogeneity and low-value density make it challenging
to detect reliable cisplatin efficacy biomarkers using traditional analysis methods.

Objective:
This paper aims to find reliable cisplatin efficacy biomarkers for NSCLC patients using
comprehensive integrative analysis.

Method:
We searched online resources and collected six NSCLC transcriptomics data sets with responses
to cisplatin. The six data sets are divided into two groups: the learning group for biomarker
identification and the test group for independent validation. We performed comprehensive integrative
analysis under two kinds of frameworks, i.e., one-level and two-level, with three integrative models.
Pathway analysis was performed to estimate the biological significance of the resulting biomarkers. For
independent validation, logrank statistic was employed to test how significant the difference of Kaplan-
Meier (KM) curves between two patient groups is, and the Cox proportional-hazards model was used to
test how the expression of a gene is associated with patients’ survival time. Especially, a permutation
test was performed to verify the predictive power of a biomarker panel on cisplatin efficacy. For comparison,
we also analyzed each learning data set individually, in which three popular differential expression
models, Limma, SAM, and RankSum, were used.

Results:
A total of 318 genes were identified as a core panel of cisplatin efficacy markers for NSCLC
patients, exhibiting consistent differential expression between cisplatin-sensitive and –resistant groups
across studies. A total of 129 of 344 KEGG pathways were found to be enriched in the core panel, reflecting
a picture of the molecular mechanism of cisplatin resistance in NSCLC. By mapping onto the
KEGG pathway tree, we found that a KEGG pathway-level I module, genetic information processing, is
most active in the core panel with the highest activity ratio in response to cisplatin in NSCLC as expected.
Related pathways include mismatch repair, nucleotide excision repair, aminoacyl-tRNA biosynthesis,
and basal transcription factors, most of which respond to DNA double-strand damage in patients.
Evaluation on two independent data sets demonstrated the predictive power of the core marker panel for
cisplatin sensitivity in NSCLC. Also, some single markers, e.g., MST1R, were observed to be remarkably
predictive of cisplatin resistance in NSCLC.

Conclusion:
Integrative analysis is more powerful in detecting biomarkers for cisplatin efficacy by
overcoming data heterogeneity and low-value density in data sets, and the identified core panel (318
genes) can help develop personalized medicine of cisplatin chemotherapy for NSCLC patients.
Case Report of a Novel NFkB Mutation in a Lymphoproliferative Disorder Patient
Authors: Danandeh Khashayar , Jabbari Parnian , Rayzan Elham , Zoghi Samaneh , Shahkarami Sepideh , Heredia Raul Jimenez , Krolo Ana , Shamsian Bibi Shahin , Boztug Kaan , Rezaei Nima 
Published: April 2022

Background:
Lymphoproliferative disorders include a heterogeneous list of conditions that
commonly involve dysregulation of lymphocyte proliferation resulting in lymphadenopathy and bone
marrow infiltration. These disorders have various presentations, most notably autoimmune
manifestations, organomegaly, lymphadenopathy, dysgammaglobulinemia, and increased risk of
chronic infections.

Case Presentation:
A young boy presented with symptoms overlapping different lymphoproliferative
disorders, including episodes of chronic respiratory tract infections, dysgammaglobulinemia,
lymphadenopathy-associated with splenomegaly as well as skin rashes. Genetic studies revealed
multiple heterozygous variants, including a novel mutation in the NFκB1 gene.

Conclusion:
This novel mutation can reveal new aspects in the pathogenesis of lymphoproliferative
disorders and propose new treatments for them.
Software Measurements Using Machine Learning Techniques - A Review
Authors: Goyal Somya 
Published: April 2022

Background:
Software Measurement (SM) is pivotal for efficient planning,
scheduling, tracking, and controlling software projects, which significantly affects the success or
failure of a project. Machine Learning (ML) techniques have been applied for software
measurements for the past three decades.

Objective:
This review aims to synthesize the studies conducted from the years 1990 to 2020 to
provide a broad picture of the role of machine learning in the world of software measurement.

Method:
The Systematic Literature Review (SLR) approach is adopted to conduct this review.
Inclusion/exclusion criteria are defined to select the most relevant studies. The researcher
searched the prominent databases and archives and obtained around 2310 studies, from which
108 studies were selected as primary studies, which were then summarized to accomplish the
goals of this review.

Results:
The distinguished contribution of this review is that it covers all aspects of software
measurements from the perspective of the application of machine learning techniques. It guides
the software practitioners regarding the journey of software measurements to date using machine
learning techniques in a single synthesized study. It further provides future guidelines for the
researchers working in this field.

Conclusion:
Machine learning techniques have extensive applications for software
measurements. Software fault prediction and software effort estimation are the most prevailing
SM tasks harnessing the ML techniques. The most popular ML technique is the artificial neural
network for SM. For empirical studies, NASA and promise datasets are extensively used. Over
the last decade (2011-2020), SM paradigm has been shifting towards ensembles of individual
ML models and deep learning models.
Primary signs of pituitary macroadenomas of diff erent hormonal activity and specialists to whom patients referred at the fi rst time
Authors: Krivosheeva Y. G. , Ilovayskaya I. A. 
Published: April 2022

Purpose: evaluate the fi rst complaints of patients with pituitary macroadenomas, as well as the specialization of doctors, to whom they referred at the fi rst time.Material and methods: data of medical records of 343 patients with pituitary macroadenomas (at least one tumor size >10 mm) were analyzed: non-functioning pituitary adenomas (NFPA, n=143), prolactinomas (n=67), somatotropinomas (n =133). Patients were examined prior to any treatment.Results: In total, the most common fi rst complaints of patients with pituitary macroadenomas were: headache - 137/343 (40%), visual impairment - 86/343 (25%), general weakness and fatigue - 69/343 (20.1%), in female patients of reproductive age - menstrual irregularities. Headache did not depend on tumor size and volume, while visual disturbances were more common in patients with larger tumor volume and MR signs of chiasm compression. Th e most oft en patients with pituitary macroadenomas referred to: a neurologist 91/343 (26.5%), an ophtalmologist 44/343 (12.8%), 44/265 (16.6%) a gynecologist and a general practitioner – according to 41/343 (12%).Conclusions: A neurologist, ophthalmologist, gynecologist, and general practitioner should be aware of a pituitary macroadenoma in patients with headaches, visual disturbances, menstrual disorders (in women of reproductive age) and non-specific general complaints that may be a marker of the presence of a pituitary tumor macroadenoma.
Clinical features of the course of overt diabetes mellitus during pregnancy
Authors: Tiselko A. V. , Tsyganova M. K. , Yarmolinskaya M. I. , Zinina T. A. 
Published: April 2022

Objective: to analyze the features of diagnosis, course and outcomes of pregnancy in women with manifest diabetes mellitus.Materials and methods: the study included 19 delivery medical records of women with MDM (manifest diabetes mellitus during pregnancy) and 500 records of women with GDM (gestational diabetes mellitus).Results: Th irteen women out of nineteen were diagnosed with MDM in the fi rst half of pregnancy. Th e average level of glycemia at the onset of the disease was 9,3±3,0 mmol/l. Mean HbA1c was 7,2±1,1%, which signifi cantly exceeded this indicator in GDM. All women with MDM required insulin therapy, while in the group of women with GDM insulin therapy was used in 27.8% of cases. MDM women showed increased rates of preeclampsia (36,8%) compared to GDM women (15%). Fetal macrosomia was more common in MDM women (36.8%) than in GDM women (17%).Conclusion: Th e high frequency of obstetric and perinatal complications of MDM during pregnancy requires the early detection of hyperglycemia and the prompt initiation of insulin therapy. Screening for carbohydrate metabolism disorders at the fi rst prenatal visit and early initiation of insulin therapy reduce maternal and perinatal mortality.
Evaluation eff ects of IDPP4 therapy diff erent duration on the functional state of α- and β- cells in patients with type 2 diabetes mellitus
Authors: Tuchina T. P. , Kolchanova I. A. , Meltonyan A. R. , Abramyan L. K. , Babenko A. Yu. , Galagudza M. M. 
Published: April 2022

Purpose: evaluate the eff ects of DPP4i on fasting and postprandial insulin and glucagon secretion by examining basal secretion and response to food loading.Materials and methods: patients (n = 54) were divided into treatment groups: long-term (more than a year) therapy with iDPP4 with Metformin, Metformin + sulfonylurea, fi rst-time therapy with iDPP4. Biochemical parameters, levels of insulin, glucagon, C-peptide before and aft er a standard breakfast were measured. Th e HOMA IR and HOMA β indices were calculated. Results: we obtained a signifi cant diff erence in fasting glucagon and insulin levels between the iDPP4 over a year and Metformin + SM groups. In addition, insulin levels before and aft er standard breakfast, C-peptide aft er standard breakfast, and fasting glucagon decreased aft er 6 months of fi rst-time DPP4 therapy.Summary: the data obtained indicate the ability of iDPP4 to positively infl uence the two earliest and most signifi cant links in the pathogenesis of type 2 diabetes.