bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of the suppression of a tumor growth expressing a carcinoembryonic antigen with a new high-tech drug carplasmin (CAR-T therapy) in Balb/c nude mice
Authors: Bozhenko V. K. , Shishkin A. M. , Shkoporov A. N. , Kiseleva Y. Yu. , Kulinich T. M. , Bolshakova O. B. , Kudinova E. A. , Solodkiy V. A. 
Published: April 2023

Introduction. Adoptive immunotherapy based on chimeric antigen receptors (CAR) is considered as a promising direction in the treatment of solid malignant tumors. To produce genetically modified human T-lymphocytes, lenti/retroviral transduction is currently most often used. However, safety concerns associated with the viral vector production and possible unwanted genome modification limit the clinical utility of CAR-T cells. Therefore, non-viral transfection methods, in particular electroporation, using of DNA or RNA vectors, are being actively studied as a method for producing CAR-T lymphocytes.Aim. To evaluate in vivo antitumor activity of the new high-tech drug carplasmin, intended for CAR-T therapy of tumors expressing carcinoembryonic antigen (CEA). Materials and methods. Carplasmin was obtained by electroporation of activated human lymphocytes with plasmid DNA carrying the third generation CAR gene specific to CEA. The study was performed on a human colorectal cancer xenograft model obtained by intraperitoneal injection of CEA-positive HCT116 cell line to athymic Balb/c nude mice. Carplasmin treatment was carried out once a week, starting from the third day after HCT116 cell inoculation. Mice in the two control groups were treated with either electroporated lymphocytes without plasmid addition (pulse-lymphocytes) or RPMI-1640 culture medium (group without treatment).Results. In vivo, carplasmin demonstrated a pronounced antitumor effect. Seven weekly injections of the drug to inoculated mice led to a prominent effect of antitumor therapy: 80 % of the animals in the experimental group survived (with 40 % of the mice had a complete remission without signs of a detectable tumor), compared to 100 % death in the control group (without treatment).Conclusion. The results of preclinical efficacy studies demonstrate that carplasmin is a promising drug for the treatment of CEA-positive intraperitoneal tumors.
Failure Analysis – An Overview with Case Study
Authors: Sivaraman Krishnan , Singh Abhishek 
Published: April 2023

Failure analysis is an important tool to determine the physical root causes of problems. The process is critical, based upon many different technical disciplines and uses a variety of observation, inspection, and laboratory techniques. It relies on collecting failed components for subsequent examination of the cause or causes of failure using a wide array of methods, especially microscopy and spectroscopy [1]. One of the important parameter in performing a failure analysis is properly observing each and every factor related to failed component and provide unbiased conclusion and corrective action. The objective of failure analysis is to identify whether component or product has failed in service or during manufacturing or during production processing. In any case, one must determine the cause of failure to prevent future occurrence, and/or to improve the performance of the device, component or structure.
This paper briefly introduces the basics of failure analysis, various modes of failure and the role of failure analysis as a general engineering tool for enhancing product quality and failure prevention. In addition, this paper also covers a typical case study to explain the process methodology in detail.
The effect of progressive muscle relaxation technique on physical parameters and anxiety among patients with myocardial infarction
Authors: Khuntia Sudhir Kumar , Thakur Reena 
Published: April 2023

The main aim of the study is to assess the effect of progressive muscle relaxation therapy on physical parameter and anxiety among patient with myocardial infarction admitted at selected hospitals of Durg (C.G). The study was conducted at B.M Shah Hopsital and K. Gurunath Cardiac Hospital for patient with myocardial infacrtion.Quasi experimental pretest posttest control group design was adopted for this study. Convenient sampling technique was used to select the study participants. The patient with myocardial infarction was assigned to experimental group (n=23) and the other to the control group (n=23). Progressive muscle relaxation therapy was given for 20 minutes once daily in the morning between 6-8AM for 7 days. Physical parameter and anxiety measurements were taken from the first day and 7 day and was documented. The study showed a significant reduction of physical parameters mean blood pressure from 5.75 to 5.5 mm of Hg, for pulse 5.5 to 5, for respiration 7 to 5.7, and SPO2 7 to 5.8. calculated ‘t’ value was greater than the table value at 0.001 level of significance. Level of anxiety before and after progressive muscle relaxation among the experimental group was 50and 44.5. respectively. Standard deviation was 7.0, 6.6 and the calculated ‘t’ value was 3.4. While comparing with table value, it showed that the calculated ‘t’ value was greater than the table value at 0.001 level of significance.Hence it is concluded that progressive muscle relaxation therapy is an effective measure to maintain the level of physical parameters and reduce the level of anxiety among patient with myocardial infarction at selected hospitals of Durg (C.G).
Vitamin D in COVID-19
Authors: Devi R K Vidyabati , Lian Niangngaih , Singh Thokchom Opendro , Devi Chungkham Rebika 
Published: April 2023

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) causes coronavirus disease 2019 (COVID-19) with clinical outcome ranging from asymptomatic to severe disease, and even death to some. It posed a terrifying challenge to healthcare system worldwide. Several observational and clinical trials has reported that, Vitamin D deficiency has contributed to acute respiratory distress syndrome. Case fatality rate increases with age and comorbidities, both of which are associated with decreased Vitamin D level. Therefore, this study is done to study the prevalence of 25(OH)Vitamin D in RT-PCR positive COVID-19 cases and RT-PCR negative controls.This is a hospital based cross-sectional study conducted at Jawaharlal Nehru Institute of Medical Sciences, Manipur on 88 RT-PCR positive Covid-19 cases and 88 COVID-19 negative controls over a period of 2 years. Analysis of the sample was done by Liaison 25(OH) Vitamin D Total Chemiluminescence assay(CLIA).In this study, statistically significant (p-0.018) lower plasma 25(OH)Vitamin D level is seen in COVID-19 positive cases (median 28±20.47) when compared to Covid-19 negative controls(median 33.50±10.66). The number of 25(OH) Vitamin D deficient is higher in Covid-19 positive cases when compared to Covid-19 negative controls -46(52.3%) and 30(34%) respectively with a high statistically significant value (p-0.015).COVID-19 positive cases have higher tendency to have suboptimal plasma 25(OH) Vitamin D level which may contribute to the high hospitalization risk in COVID-19 infection. This finding is important as it can identify population at risk, and contribute to interventions in reducing the risk of hospitalization associated with COVID-19 infection.
Effectiveness of six sigma score analysis of clinical biochemistry parameters in a newly installed automated analyser– Retrospective analysis in a tertiary cancer care centre
Authors: Sarma Nibedita , Chakraborty Subhosmito 
Published: April 2023

Quality assurance is need of the hour in a laboratory. Clinician’s decision regarding treatment modality is based on the laboratory results on most occasions. So to ensure accuracy of results reported periodic evaluation as per standard criteria and audit is necessary. Six sigma is one such tool to apply in day to day practice for monitoring and enhancing performance of a laboratory. A new machine is a new challenge for a laboratory from validation to reporting of quality result with assurance for which six sigma is invariably a necessary method. So this study was taken up to check for month wise status of six sigma and performance of clinical chemistry analyser for 20 different analytes.: It was a retrospective study and data required for the study were collected from March 2020 to November 2020 in clinical biochemistry laboratory of Tata Medical Centre Kolkata, West Bengal. Test parameters were analysed on Vitros 7600 automated analyser. Data collected were IQC-coefficient of variation percent (CV %) and proficiency test -Bias%. Six sigma score were analysed monthly using standard formula applicable. We obtained an excellent performance (&#62; 6 sigma) for test parameters CK, Urea, Creatinine, Uric acid, albumin, Calcium, Phosphorus, Magnesium, AST, ALTV, ALKP, GGT, Lipase, LDH in both level of IQC and for sodium and amylase in level 2 IQC. However we noticed poor performance (&#60;3 sigma) for test parameters Glucose, potassium, chloride, TP in both level IQC and for sodium and amylase in level 2 IQC.QGI score analysed to find out root cause and corrective action. Monitoring IQC and EQAS with six sigma method helps evaluation and improvement of performance of a laboratory even with a new machine. It supports root cause analysis and necessary corrective and preventive action.
Comparision of the diagnostic sensitivity of biochemical tests in the screening of monoclonal gammopathy
Authors: Anjum Arshiya , Bagade Sanjay , Boyella Pavan Kumar 
Published: April 2023

: Monoclonal gammopathy include several clinical variants ranging from asymptomatic MGUS, asymptomatic smouldering myeloma, multiple myeloma to aggressive plasma cell leukemia. The characteristic property of myeloma cells is the production and secretion of M protein. Due to its diverse structure, no single test can identify M protein accurately in all patients. A simple, non-invasive combination of tests is necessary for the screening of monoclonal gammopathy. The present study aims to assess the diagnostic sensitivity of the biochemical tests used in the screening of monoclonal gammopathy.: This study was conducted retrospectively of the newly diagnosed cases of monoclonal gammopathy screened with SPE and ISUB/IT using sebia capillary electrophoresis and serum free light chain ratio using immunoturbidimetry method.: Out of the 142 patients included in the study, 120 had M band in SPE, 125 had monoclonal gammopathy by ISUB/IT and 121 patients had abnormal sFLCR. The diagnostic sensitivity obtained was 84.5% 88% and 85.2% for SPE, ISUB/IT and sFLCR respectively. Addition of sFLCR to SPE and ISUB/IT could identify 20 patients who had no abnormality in either of these tests. The combined sensitivity of SPE and ISUB/IT was 88%, while that of SPE and sFLCR and a combination of all the three tests was 98.6%. The simple, non-invasive, cost-effective screening panel of SPE plus sFLC ratio could be used as the initial screening method for patients with suspected monoclonal gammopathy with increased reliability.
SLDPSO-TA: Track Assignment Based on Social Learning Discrete Particle Swarm Optimization
Authors: Liu Genggeng , Jing Yidan , Zhou Ruping , Chen Xiaohua , Pan Jeng-Shyang 
Published: April 2023

Abstract
In the modern Very Large Scale Integration (VLSI) circuit design, the short-circuit problem is one of the key factors affecting routability. Due to the increased circuit size and net density, the short-circuit problem grows significantly in detailed routing. Furthermore, global routing ignores many problems in detailed routing, making for an increased mismatch between global routing and detailed routing. As a crucial intermediate phase between global routing and detailed routing, track assignment is an excellent phase to pre-process the short-circuit problem. However, existing track assignment algorithms face the problem of falling into local optimality. As one of the typical representatives of the swarm intelligence techniques, Particle Swarm Optimization (PSO) is a powerful tool to solve large-scale discrete problems. Therefore, we propose an effective Track Assignment Algorithm Based on Social Learning Discrete Particle Swarm Optimization (SLDPSO-TA). First, the proposed algorithm considers local nets to better guide detailed routing and an effective encoding method is designed to adapt the evolutionary algorithms better. Second, the social learning mode based on example pool mechanism is presented to improve the algorithm performance. Finally, a negotiation-based refining strategy is utilized to further reduce the overlap. Experimental results show that SLDPSO-TA can obtain the best overlap cost optimization among similar works, and reduce the congestion in key routing areas.
Body Sensor Cloud Network Based Data Classification By Machine Learning Techniques In Cognitive Human Computer Interaction
Authors: D Vinod , S.S Sathya , Shukla Sanjai Kumar , Pichandi Kavitha Vellore , Qamar Shamimul , P Muthuchelvi 
Published: April 2023

Abstract
Recent developments in cognitive technical systems (CTS), which offer organic and effective operating principles, reveal a development in human-computer interaction (HCI). A CTS must rely on data from several sensors, which must then be processed and merged by fusion algorithms, to do this. To put the observations made into the proper context, additional knowledge sources must also be integrated. This research propose novel technique in cognitive human computer interaction based body sensor data analytics using machine learning technique. here the body sensor based monitoring data has been collected and transmitted by cloud networks for cognitive human computer interaction. then this data has been processed and trained using Boltzmann perceptron basis encoder neural network. Various body sensor-based monitored datasets are subjected to experimental analysis for accuracy, precision, recall, F-1 score, RMSE, normalised square error (NSE), and mean average precision. Proposed technique obtained 93% accuracy, 79% precision, 72% of recall, 64% f-1 score, 51% of RMSE, 56% NSE and 48% MAP.
Experience and severity of menopause symptoms and effects on health-seeking behaviours: A cross-sectional online survey of community dwelling adults in the United Kingdom
Authors: Huang David Roy , Goodship Anigail , Webber Iman , Alaa Aos , Sasco Eva Riboli , Hayhoe Benedict , El-Osta Austen 
Published: April 2023

Abstract
Objective
Investigate personal experiences of menopause and perspectives on group consultations.
Design
Cross-sectional online survey of community-dwelling adults aged 35–70 years.
Setting
Community setting
Participants
953 individuals assigned female at birth, aged 35–70 and living in the UK.
Methods
An online survey investigated the experiences of individuals at all stages of menopause and their receptiveness towards group consultations for menopause. Respondents were categorised by menopause stage according to the STRAW + 10 staging system. Associations between menopause stage, acceptability of group consultations and participant demographics were assessed using logistic regression.
Main outcome measures
Stage of menopause, self-care behaviours and acceptability of group consultations.
Results
Respondents experienced an average of 10.7 menopausal symptoms, but only 47% of respondents felt they had the knowledge and tools to manage their symptoms. Advice on menopause was sought from a healthcare professional (HCP) by 61% of respondents, the largest trigger for this being severity of symptoms and the main barrier for this was the perception that menopause wasn’t a valid enough reason to seek help. Of the respondents seeking advice from HCP, 32% were prescribed transdermal HRT, 30% received oral HRT, 19% were offered antidepressants, 18% received local oestrogen and 6% were prescribed testosterone. Over three quarters (77%) of respondents indicated that they would join a group consultation for menopause and would be comfortable sharing their experiences with others (75%). Logistic regression indicated premenopausal respondents were 2.84 times more likely than postmenopausal women to be interested in a group consultation where they can meet or learn from others’ experiences.
Conclusions
This study highlighted a strong willingness of women aged 35–70 to participate in group consultations for menopause, with motivation being strongest amongst premenopausal women. Low awareness of self-management and lifestyle interventions to manage the symptoms of menopause highlight the need for greater outreach, research and interventions to build knowledge and confidence in the general population at scale. Future studies should focus on investigating the effectiveness and economic impact of menopause group consultations and the lived experience of individuals participating in group consultations.
Ca-dimers and solvent layering determine electrochemically active species in Ca(BH4)2 in THF
Authors: Matias Ana Sanz , Roncoroni Fabrice , Sundararaman Siddharth , Prendergast David 
Published: April 2023

Abstract
Divalent ions, such as Mg, Ca, and Zn, are being considered as competitive, safe, and earth-abundant alternatives to Li-ion electrochemistry. However, the challenge remains to match elec- trode and electrolyte materials that stably cycle with these new formulations, based primarily on controlling interfacial phenomena. We explore the formation of electroactive species in the electrolyte Ca(BH4)2 in THF through molecular dynamics simulation. Free-energy analysis indicates that this electrolyte has a majority population of neutral Ca dimers and monomers, albeit with diverse molecular conformations as revealed by unsupervised learning techniques, but with an order of magnitude lower concentration of possibly electroactive charged species, such as the monocation, CaBH4+, which we show is produced via disproportionation of neutral Ca(BH4)2 complexes. Dense layering of THF molecules within 1 nm of the electrode surface (modeled here using graphite) hinders the approach of reducible species to within 0.6 nm and instead enhances the local concentration of species in a narrow intermediate-density layer from 0.7-0.9 nm. A dramatic increase in the monocation population in this intermediate layer is induced at negative bias, supplied by local dimer disproportionation. We see no evidence to support any functional role of fully-solvated Ca2+ in the electrochemical activity of this electrolyte. The consequences for performance and alternative formulations are discussed in light of this molecular-scale insight.
SIRT2/HSF1/PERK pathway is essential for melatonin-alleviated endoplasmic reticulum stress in cerebral ischemic/reperfusion injury
Authors: li han , liu xiaoqi , zheng jiayi , lin hao , guan li , li xiaoxiao , cai yefeng , zhang shijie 
Published: April 2023

Abstract
Background: Targeting endoplasmic reticulum (ER) stress with melatonin has been proven helpful for cerebral ischemic/reperfusion (CI/R) damage, while the mechanism remains unclear. In current study, we investigated whether melatonin could ameliorate ER stress in CI/R injury through sirtuin 2 (SIRT2).
Methods: Male SD rats were underwent middle cerebral artery occlusion and reperfusion (MCAO-R) surgery. Melatonin was treated 30 min before MCAO-R.
Results: Melatonin (20 mg/kg) notably improved MCAO-R-induced cerebral neurologic impairment and infarct volume. Melatonin reversed MCAO-R induced upregulation of SIRT2 and activation of ER stress (reduced phosphorylated protein kinase-like ER kinase (PERK) and phosphorylated eukaryotic initiation factor 2α). Consistently, in OGD/R-treated HT22 cells, melatonin also significantly alleviated ER stress and SIRT2 expression. Further Co-immunoprecipitation and co-immunofluorescence studies revealed that melatonin enhanced heat shock factor 1 (HSF 1)acetylation. Inhibiting of Sirt2 by siRNA also increased HSF1 acetylation in OGD/R-treated cells. Melatonin significantly inhibited PERK activator (CCT020312)-induced ER stress, while CCT020312 had no influence on SIRT2 and HSF1 acetylation.
Conclusion: Our findings elucidated that SIRT2/HSF1/PERK pathway is essential for melatonin-alleviated CI/R injury, providing a novel molecular mechanism.
Environmental footprints show the savings potential of high reparability through modular smartphone design
Authors: Schomberg Anna , Mostert Clemens , Bringezu Stefan 
Published: April 2023

Abstract
Two thirds of all people own a mobile phone or smartphone, which are typically not very durable and often are replaced. As a result, mobile phones already outnumber people on earth and represent the fastest growing waste stream. This entails a whole range of problems. On the environmental impact side, issues range from high input of metal ores to large amounts of electronic waste. Here, we quantify the environmental benefit of reparability on the example of a modular and easily repairable smartphone facilitating a longer lifetime. Within the scope of a life cycle assessment, we analyse the climate, energy, land, material and water footprint, focusing on the potential savings that arise from modularity and the longer lifetime. A modular use case, in which a smartphone is used for 5 years through replacement of defective modules, is compared to a reference use case with 2.5 years standard use and no replacements by means of the application-related functional unit "smartphone use for one year". The reference use case is responsible for 9 kg climate-damaging emissions, consumes 33 kWh of energy, 0.4 m2 of land, 16 kg of raw material and 32 kg of primary material as well as 3 m3 of water and would require 8,000 m3 of dilution water to eliminate water pollution by dilution. The modular use case can save an average of 40% of emissions and natural resources per functional unit. In the area of gold production alone, 3 kg of raw materials or 9 kg of primary materials can be saved. Scaled to 2 billion smartphones sold worldwide yearly, raw material savings are in the order of 13,000 multi-family houses, while CO2 emissions can be saved in the order of 12 million medium-haul flights per year. Spatial hotspots of environmental impacts can be reduced and mitigated if easy reparability is ensured through a modular design and if customers use their smartphones longer.
Translation, cross-cultural adaptation, reliability and validity of the Chinese version of the Liver Disease Undernutrition Screening Tool(LDUST)
Authors: Wang Runzhu , Xu Min , Yu Xia , Wang Hao , Huang Lihua 
Published: April 2023

Abstract
Objective The aim was to carry out the sinicization of the Liver Disease Undernutrition Screening Tool (LDUST) and test its reliability and validity in patients with cirrhosis.
Methods In this study, LDUST was translated into Chinese according to the Brislin translation-back method and then Chinesified through cultural adaptation and pre-survey. From October 2021 to September 2022, 322 patients with liver cirrhosis were selected in the hepatology department of a tertiary hospital in Zhejiang Province of China for malnutrition screening within 24-48 hours after admission. The study tested the reliability and validity of LDUST.
Results The final Chinese version of LDUST consisted of two dimensions and six items. The item-level content validity index (I-CVI) of tool items ranged from 0.83 to 1.00, the scale-level content validity index (S-CVI) of tool level was 0.97, the structure validity χ 2 /DF was 2.112, and the root mean square error of approximation（RM-SEA)was 0.073. The normalized fit index was 0.965, the appropriate value-added index was 0.981, the non-standard fit index was 0.964, the Cronbach's α coefficient was 0.738, and the Guttman half-coefficient of the tool was 0.693.
Conclusion The Chinese version of the Liver Disease Undernutrition Screening Tool (LDUST) has good reliability and validity and is suitable for screening malnutrition in patients with cirrhosis in China.