bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive value of heparin-binding protein, interleukin-6, and C-reactive protein in severe COVID-19, organ failure, and prognosis: a retrospective study
Authors: gao yidan , zhao ke , liu jing , zhang xiangbo , gong ling , zhou xiang , chen gongying 
Published: July 2023

Abstract
Background Systemic inflammation is closely related to the progress of COVID-19.This study aimed to explore the role of combined detection of heparin-binding protein (HBP), interleukin-6 (IL6), and C-reactive protein (CRP) on the severity and clinical outcomes of COVID-19.
Methods Our hospital conducted a retrospective analysis of 214 patients with COVID-19 from 1 December 2022 to 28 February 2023. Patients were separated into non-severe and severe categories. Based on whether there was organ failure during hospitalization, patients were further split into the non-organ failure group and the organ failure group. Records on demographics, baseline, and clinical features, as well as the levels of HBP, IL6, and CRP on admission, were collected.
Results HBP, IL6, and CRP levels were positively correlated with total bilirubin, lactate dehydrogenase, serum creatinine, and D-dimer but negatively correlated with albumin. HBP, IL6, and CRP levels were remarkably higher in severe, organ failure, and non-survivor groups compared to non-severe, non-organ failure, and survivor groups (all P < 0.001). The optimal cutoff values of HBP, IL6, and CRP for predicting severe COVID-19 were 49.71 ng/mL, 11.24 pg/mL, and 39.67 mg/L, respectively. With a sensitivity and specificity of 85.10% and 95.70% for severe COVID-19, the combined detection of HBP, IL6, and CRP showed the best diagnostic effectiveness. Logistic regression revealed that HBP, IL6, and CRP were independent risk factors for severe COVID-19 and organ failure. Moreover, the risk of death predicted by any two or more of HBP, IL6, and CRP higher than the optimal cutoff value was 3.631 times that of only one of the three indicators higher than the optimal cutoff value (hazard ratio = 3.631, log-rank P = 0.003).
Conclusions A combination of HBP, IL6, and CRP has higher diagnostic efficiency of severe COVID-19; combined detection can more accurately and efficiently predict COVID-19 severity, organ failure, and prognosis, which is complementary to previous studies.
Serum sex hormones correlate with pathological features of papillary thyroid cancer
Authors: Fazhan Xu , Zheng Lulu , Chen Kehao , WANG Ru , Yi Dandan , Jiang Chaoyu , Liu Zhijian , Shi Xianbiao , Jianfeng Sang 
Published: July 2023

Abstract
Purpose
Sex hormones are thought to be responsible for the unique gender differences in papillary thyroid cancer(PTC). Most previous studies on these have focused on the expression of estrogen receptors, or have been limited to animal studies. The aim of our study was to explore the relationship between serum sex hormones and the pathological features of PTC in the clinical setting, as further evidence of the role of sex hormones in PTC.
Methods
Retrospective data analysis of patients who underwent thyroid surgery at the Department of Thyroid Surgery, Nanjing Drum Tower Hospital from January 2022 to September 2022 Correlation between serum sex hormone and pathological features was analyzed in male patients and in menopausal female patients. Serum sex hormones include luteinizing hormone(LH), follicle stimulating hormone(FSH), estradiol(E2), total testosterone(TT), progesterone(P), and prolactin(PRL). Tumor pathological characteristics include the number and size of tumor, presence of extrathyroidal extension(ETE), presence of lymph node metastasis(LNM).
Results
Preoperative serum E2 in male patients was positively correlated with tumor size in PTC, LH was negatively correlated with LNM, while TT and P were negatively correlated with ETE. Similar findings were not observed in menopausal female patients.
Conclusion
We observed that serum sex hormones correlate with the pathological features of PTC in male patients, for the first time in a clinical study. High serum estrogens may be a risk factor for PTC, while androgens are the opposite. This somewhat corroborates previous research and provides new variables for future PTC prediction models.
Streptococcus strain D19 T as a probiotic candidate to modulate oral health
Authors: Zhang Wen Xiao , Xiao Chun Ling 
Published: July 2023

Abstract
Background
As probiotics protect host cells, they are used in the treatment of bacterial infections. It has been indicated that probiotics may prevent or reduce the attachment of pathogens to host cells. In this study, Streptococcus strain D19T was isolated from the oropharynx of a healthy child, and its adhesion performance and Staphylococcus aureus adhesion-inhibitory effect were analysed using human bronchial epithelial (16-HBE) cells, as an in vitro cell model. We evaluated the probiotic properties of D19T strain based on its acid–base, bile salt, and lysozyme tolerance; antibacterial activity; cytotoxicity; antibiotic sensitivity; in vitro adhesion to 16-HBE cells; and competitive, exclusion, and displacement effects against S. aureus.
Results
D19T showed tolerance to a moderate pH range of 4–5 and 0.5–1% bile. However, it was more tolerant to 0.5% bile than to 1% bile. The strain also demonstrated an ability to adapt to maladaptive oropharyngeal conditions (i.e., tolerating 200 µg/mL lysozyme). It was resistant to 0.8 mM H2O2. The results also demonstrated that D19T possesses inhibitory activities against various common pathogenic bacteria. Furthermore, D19T was not toxic to 16-HBE cells at different multiplicities of infection and was sensitive to most antibiotics tested. The adhesion rate of D19T cells to 16-HBE cells was 47% ± 1.2%, significantly higher than that of S. aureus to 16-HBE cells. Competition, exclusion, and displacement assay results showed that D19T has good inhibitory effect against S. aureus adhesion.
Conclusions
The present study revealed that Streptococcus strain D19T has potential to be developed respiratory microbiota preparations.
Comparative analysis of RSM, ANN and ANFIS techniques in optimization of process parameters in laser assisted turning of NITINOL Shape memory alloy
Authors: Chakala Naresh , Sameer  , P Subhash Chandra Bose 
Published: July 2023

Abstract
The rationale behind the rising demand for orthogonal cutting in the processing of hard-to-cut materials is attributed to its advantages over discrete turning processes, which are achieved through the simultaneous application of two or more machining techniques. The utilisation of laser technology in machining processes is considered to be a sophisticated method for the processing of materials that are difficult to cut. The present study involved the utilisation of a Nd:YAG laser source to preheat a Nitinol shape memory alloy (SMA) work piece, which was subsequently subjected to machining using a laser-assisted Computer numerical control (CNC) turning centre. The objective of this investigation was to evaluate the properties of laser assisted machining (LAM) under varying machining conditions. The present study focuses on investigating the impact of process parameters on cutting force and surface roughness in the context of laser-assisted turning (LAT) of Nitinol SMA. To achieve this objective, statistical techniques such as the Response Surface Method (RSM), Adaptive Neurofuzzy Inference System (ANFIS), and Artificial Neural Networks (ANN) with Back Propagation (BP) algorithm-based numerical modelling are employed. The study was conducted utilising the Central Composite Design (CCD) methodology. The study examined the impact of process parameters, specifically cutting speed, feed, cutting depth, and laser power, on the response variables of cutting force (Fz) and surface roughness (SR). The results of the ANOVA analysis indicate that the cutting speed is the primary factor that significantly affects both Fz and SR, accounting for 31.39% and 60.36% of the variance, respectively. The feed rate is the second most influential factor, contributing 26.71% to Fz and 9.078% to SR. The optimisation of LAT parameters was ultimately achieved through the utilisation of a multi-objective desirability function, which effectively reduced both the SR and Fz simultaneously. The evaluation of the ANN model (4-24-2) involved its modelling and expected capabilities, which were compared to those of the RSM model using statistical measures such as root mean square error (RMSE) and absolute standard deviation. The outcomes of Fz and SR anticipated by RSM, ANFIS, and ANN exhibited a high degree of agreement with the empirical findings.
Neurologic Status of Patients With Purine Nucleoside Phosphorylase Deficiency Before and After Hematopoetic Stem Cell Transplantation
Authors: Karaaslan Betul Gemici , Turan Isılay , Aydemir Sezin , Meric Zeynep , Atay Didem , Akcay Arzu , Sari Aysun Ayaz , Hershfield Michael , Cipe Funda , Aksoy Basak Adakli , Ersoy Gizem Zengin , Bozkurt Ceyhun , Demirkol Yasemin Kendir , Ozturk Gulyuz , Aydogmus Cigdem , Kiykim Ayca , Cokugras Haluk 
Published: July 2023

Abstract
Background
Purine nucleoside phosphorylase (PNP) deficiency is a rare autosomal recessive combined immunodeficiency. The phenotype is profound T-cell deficiency with variable B- and NK-cell functions and results in recurrent and persistent infections that typically begin in the first year of life. Neurologic findings occur in approximately two-thirds of patients. The mechanism of neurologic abnormalities is unclear. Hematopoietic stem cell transplantation (HSCT) is the only curative treatment for PNP deficiency.
Methods
We report here six patients from five unrelated families with PNP deficiency treated in two centers in Turkey. We evaluated the neurological status of patients and compared to post-transplantation period if available. Then we performed PubMed, Google Scholar, and Researchgate searches using the terms "PNP" and "hematopoietic stem cell transplantation" to find all reported cases of PNP transplantation and compared to our cohort.
Results
Six patients were treated in two centers in Turkey. One patient died from post-transplant complications. The other four patients underwent successful HSCT with good immune reconstitution after transplantation (follow-up 21–48 months) and good neurological outcomes. The other patient with a new mutation is still waiting for a matching HLA donor.
Discussion
In PNP deficiency, clinical manifestations are variable, and this disease should be considered in the presence of many different clinical findings. Despite the comorbidities that occurred before transplantation, HSCT currently appears to be the only treatment option for this disease. HSCT not only cures immunologic disorders, but probably also improves or at least stabilizes the neurologic status of patients.
Linking succession planning to nurses’ performance management: The mediating role of career development
Authors: Atalla Amal Diab Ghanem , Elbassal Nariman Ahmed Mohamed Mostafa 
Published: July 2023

Abstract
Purpose:
To assess the level of succession planning and nurses’ performance management and explore the relationship between both and the mediating role of career development in such a relationship.
Background:
Succession planning is a noteworthy human capital development strategy that cultivates a pool of talented individuals, thus surges nurses’ performance. Integrating career development with succession planning helps healthcare organizations to overcome future talent deficiencies and instability and groom high-potential nurses for key positions. This creates a sense of stability and security in nursing profession.
Design & Methods:
A cross-sectional descriptive correlational study was conducted at the inpatient medical, surgical and critical care units of XX University Hospital. We utilised a total population sampling of 745 nurses (purposive sampling technique). Three tools were used as follows: the succession planning scale, the performance management scale and the career development scale.
Findings:
Rendering the findings of this study, all nurses have moderate perception regarding succession planning and majority of them have high perception regarding performance management. In addition, two third of nurses have high perception regarding career development. Besides, there is a statistically high significant relationship between succession planning and performance management. Also, there is a statistically moderate significant relationship between succession planning and career development. There is a statistically high significant statistical relationship between performance management and career development. SEM model proves and concluded that there is an impact of succession planning on performance management through career development as mediating factor.
Practice Implications:
Integrating training and career development with succession planning helps healthcare organizations to overcome future talent deficiencies and instability and groom high-potential nurses for key positions. Also, a well-executed succession planning system can improve nurses’ performance and career development, ultimately leading to the achievement of individual and organizational goals. nurse managers could reduce recruitment costs by selecting or promoting nurses from within the organization's pool of trained nursing personnel.
Access Control Mechanism for Social Internet of Things
Authors: Dallel Olfa , Ayed Souheil Ben , Taher Jamel Bel Hadj 
Published: July 2023

Abstract
The Social Internet of Things (SIoT) is a new paradigm which represents a promising business solution proposed to exploit the large volume of data generated by the IoT devices. Accessing the shared resources and services in SIoT faces one major security challenge among others: access control. An access control mechanism evaluates the access policies and performs consecutive re-delegation operations based on delegation policies. However, the re-delegation cannot be performed when no trust relationships exist between the access requester devices and the permission delegator devices. To overcome this issue, we propose to perform friendship-based re-delegations through a path of trust social relationships. To find this path, we suggest to fetch the social device's profiles by integrating a caching strategy. The evaluation results show that a friendship-based delegation can be applied for any system distinguished by a distributed architecture, large scalability and high dynamicity such as the SIoT.
A study of conceptual language similarity: comparison and evaluation
Authors: Ye Haotian , Liu Yihong , Schütze Hinrich 
Published: July 2023

Abstract
An interesting line of research in natural language processing (NLP) aims to incorporate linguistic typology to bridge linguistic diversity and assist the research of low-resource languages. While most works construct linguistic similarity measures based on lexical or typological features, such as word order and verbal inflection, recent work has introduced a novel approach to defining language similarity based on how they represent basic concepts, which is complementary to existing similarity measures. In this work, we study the conceptual similarity in detail and evaluate it extensively on a binary classification task.
Synthesis of anionic and cationic corroles and study of their complexing ability and photodynamic activity towards DNA and albumin
Authors: Yurina Elena , Lebedeva Natalia Sh. , Kiselev Aleksey N. , Gubarev Yury A. , Syrbu Sergey A. 
Published: July 2023

Abstract
In this work, new free base corroles (sulfophenylcorrole (mixture of tri(4-sulfophenyl)corrole and tetrasulfotriphenylcorrole) and tri(N-methylpyridin-4-yl)corrole triiodide) were synthesized and associative equilibria in aqueous and organic media were studied. Their binding ability to BSA and DNA was studied by various physicochemical methods. It has been established that complexes with DNA are formed only by cationic corrole, which binds to DNA by the intercalation method. Both cationic and anionic corroles bind to bovine serum albumin. It was found that the synthesized corroles are weakly fluorescent fluorophores and practically do not generate singlet oxygen; however, they are capable of generating superoxide anion radicals; can participate in type I photooxidation. The ability to initiate type I photoprocesses was established on the basis of the processes of photooxidation of nitroblue tetrazolium and BSA. The possibility of potentiating the process of protein photooxidation by potassium iodide has been established. Radical and radical ion reactions underlying the potentiation of BSA oxidation upon photoirradiation with PS were studied. It was found that the addition of KI significantly accelerates the photooxidation of BSA. It has been proven that the stage of formation of triiodide ions, which trigger a cascade of radical ion reactions, plays an important role in the potentiation processes.
Appropriate Job Selection Using Machine Learning Techniques
Authors: Khan Md. Ashikur Rahman , Paul Anjan Rhudra , Rahman Fardowsi , Akter Jony , Sultana Zakia , Rahman Masudur 
Published: July 2023

Abstract
Job recruitment is the process of picking a qualified candidate for a vacant position in an organization. Suitable job selection is a challenging task, especially for freshers. Every year, millions of students complete their graduation and come up with many options for choosing their jobs. This job selection procedure depends on various factors. Considering these issues, this research aims to build a model to predict whether a job is suitable or not suitable for a candidate according to their skills, experiences, and desires for the job. In this situation, Machine Learning approaches can be useful. Data were collected from 120 people currently appointed to a job in various fields. Distinct machine learning techniques are used to predict whether they are satisfied with their current job or not. We also find the other performance matrices and compare them with other algorithms to evaluate the performance of the best model. The results show that the random forest technique is the most effective method for forecasting appropriate job selection, with 92% accuracy and 8% error. Based on the findings, this research will become an effective tool for selecting a suitable job based on people's desires.
Ternary (liquid - liquid) equilibvrium experiment and thermodynamic modeling for extraction of phenol from water with different solvents at several temperatures
Authors: Li Tao , Guo Hongyue , Li Qingsong 
Published: July 2023

Abstract
In order to separate phenol from water, at 101.3 kPa, the liquid-liquid equilibria (LLE) data of water + phenol + solvents (trichloromethane, isoamyl alcohol) were obtained at 298.2, 303.2, and 313.2 K. The ability of the extractant to extract phenol from water was evaluated by the distribution coefficient (D) and selectivity coefficient (S). The Bachman and Hand equations were used to verify the reliability of the LLE data with the linear coefficient was greater than 0.98%. The LLE data was correlated with the NRTL and UNIQUAC models to obtain a binary interaction parameter with an RMSD not greater than 0.29%.
Neural Network-Based Classification of Atmospheric Circulation Types: A Novel Application of Autoencoders for Time Decomposition of Climate Data
Authors: Ibebuchi Chibuike 
Published: July 2023

Abstract
This study presents a novel approach that employs Autoencoders (AE) - a type of artificial neural network - for the temporal decomposition of sea level pressure (SLP) data represented in a T-mode structure where the columns or variables are time series and rows or observations are grid points. The analysis aims to explore the effectiveness of non-linear AE in overcoming potential limitations of linear models like Principal Component Analysis (PCA) in terms of classifying atmospheric circulation types (CTs) within the southern region of Africa. After applying both PCA and AE for the time decomposition of daily SLP data from 1950 to 2022, the resulting spatial composite maps generated by each method were compared to assess consistency. The findings reveal consistency between the spatial maps from the two methods, with 58% of the maps showing congruence matches greater than 0.94. However, when examining the correctly classified dates (i.e., the true positives) with a threshold of 0.8 congruence coefficient between the spatial composite map representing the CT and the dates grouped under the CT, AE outperformed PCA with an average improvement of 29.2%. Hence given the flexibility of AE and capacity to model complex non-linear relationships, this study suggests that AE could be a potent tool for climate data decomposition and CT classification, leading to a more accurate representation of actual circulation variability.
Late Diagnosis at Entry on Care in an HIV Clinic in Mexico City: Possibly COVID-19 Pandemic Impact
Authors: Elizalde-Barrera Cesar Ivan , Juarez-Mendoza Carlos Virgilio 
Published: July 2023

Background:
HIV late-stage diagnoses have an important impact on mortality. Unfortunately, a significant number of patients are still diagnosed at late stages. On the other hand, the coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented crisis in healthcare systems worldwide, including HIV care services.

:
The aim of this study was to compare time-trends in HIV late diagnosis, prevalence, and initial CD4
cell counts of newly diagnosed HIV-positive individuals at the entry to HIV care in a General Hospital
in Mexico City and to assess the Covid-19 pandemic possible effects on late diagnosis prevalence.

Methods:
We retrospectively analyzed the data of HIV-infected patients (January 1999 to December
2021) to assess the prevalence of Late presentation (LP, CD4 count < 350 cells/mm3) and
presentation with advanced HIV disease (AHIVD CD4 count < 200 cells/mm3). Differences across
time were evaluated, focusing on years of the Covid-19 pandemic.

Results:
We included 348 newly diagnosed HIV-positive individuals, of which 255 (73.2%) patients
entered into care with LP, and 158 (45.4%) were on AHIVD. The proportion of patients with
LP and AHIVD decreased significantly across the study period. Nevertheless, we found an increase
in this proportion in the years 2020 (70% and 53%) and 2021 (86% and 68%).

Conclusion:
Despite the progressive decrease in late diagnosis prevalence in our population, it remains
high. Even more, our results documented a possible increase in the prevalence of late diagnosis
associated with the COVID-19 pandemic. These findings highlight the need to prioritize interventions
to evaluate and reverse pandemic effects on people living with HIV care.
Applications of Radiopharmaceuticals in the Treatment of Cancer: Recent
Developments
Authors: Goyal Priyanshi , Malviya Rishabha 
Published: July 2023

Abstract:
An emerging safe and efficient targeted method of treating many different types of cancer
is radiopharmaceutical treatment (RPT). RPT uses medications that either bind more selectively to
cancer cells or accumulate through physiological processes to deliver radiation either systemically or
locally. Nearly all radionuclides employed in RPT generate imageable photons, allowing for noninvasive
visualization of the therapeutic agent's biodistribution. RPT has demonstrated efficacy with
little toxicity when compared to practically all other systemic cancer treatment approaches. The tremendous
potential of this treatment is finally being acknowledged as a result of the FDA's recent approval
of many RPT medicines. The fundamental characteristics, clinical advancement, and related
difficulties of RPT are covered in this review.