bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of risk prediction model for major amputation in patients with diabetes foot
Authors: Lu Qingwei , Wei Xiaolu , Zhang Wangao , Wang Jun 
Published: June 2023

AbstractPurpose:A risk prediction model was developed to predict the risk of major amputation in patients with diabetes foot ulcer (DFU) on admission, and instruct patients to prevent and control early, and guide doctors to make clinical decisions.Patients and methods:We used data from the Electronic Medical Record (EMR) database of the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine from February 2014 to July 2020. DFU patients were divided into major amputation group and non-major amputation group, and nested case-control study method was used to determine case group and control group. The first laboratory tests, imaging examination, complications and other information of DFU patients at admission were collected, and initial predictive variables were selected. Logistic regression and LASSO regression in R software were used to develop a clinical prediction model for DFU patients with major amputation, which was displayed in the form of nomographs, and the model was evaluated by internal validation.Results:A total of 3654 patients were diagnosed as DFU, 695 patients were included in the study on the development of risk prediction model of DFU major amputation, 139 patients in the case group and 556 patients in the control group. 9 variables (WBC, Hb, ALB, Wagner grade, amputation history, smoking, ABI <0.4, ulcer duration >1 month, HbA1c) screened by logistic regression and LASSO regression were used as predictors of major amputation in DFU patients. The internal validation showed that the C index adjusted by Bootstrap method was 0.91 (95% CI, 0.894–0.943), the average absolute error of the prediction model for drawing the calibration curve was 0.01, and the brier score was 0.08.Conclusion:The clinical risk prediction model of major amputation in DFU patients developed in this study has good discrimination and calibration, can accurately predict the outcome events, can be used as an effective tool to guide doctors to make clinical decisions, and enrich and improve the content of DFU prevention and control work, but the promotion and use of the model still needs further verification of external data.
Regulation of the Immune Cell Repertoire in Psoriasis Patients Upon Blockade of IL-17A or TNFα
Authors: Tittes Julia , Brell Jennifer , Fritz Pia , Jonak Constanze , Stary Georg , Ressler Julia Maria , Künig Sarojinidevi , Weninger Wolfgang , Stöckl Johannes 
Published: June 2023

Abstract
Targeting of the pro-inflammatory cytokines interleukin 17A (IL-17A) or tumor necrosis factor alpha (TNFα) with monoclonal antibodies (mAbs) ixekizumab or adalimumab, respectively, are successful therapies in chronic plaque psoriasis. The effects of these treatments on immune cell populations in the skin are largely unknown. In this study, we compared the composition of cutaneous, lesional as well as non-lesional, and blood immune cells in ixekizumab or adalimumab treated patients with psoriasis. Our data reveal that both treatments efficiently down-regulate T-cells, macrophages and different subsets of dendritic cells (DCs) in lesional skin towards levels of healthy skin. In contrast to lesional skin, non-lesional areas in patients harbor only few or no detectable DCs compared to skin of healthy subjects. Neither the treatment with ixekizumab nor adalimumab reverted this DC imbalance in non-lesonal skin of psoriatic patients. Taken together, our study shows that anti-IL-17A as well as anti-TNFα therapy rebalances the immune cell repertoire of lesional skin in psoriatic patients, but fail to restore the disturbed immune cell repertoire in non-lesional skin during the induction phase of therapy.
Bi-specific AutoAntigen-T cell Engagers as targeted immunotherapy for autoreactive B cell depletion in autoimmune diseases
Authors: Perico Luca , Casiraghi Federica , Sônego Fabiane , Todeschini Marta , Corna Daniela , Cerullo Domenico , Pezzotta Anna , Isnard-Petit Patricia , Faravelli Silvia , Forneris Federico , Thiam Kader , Remuzzi Giuseppe , Benigni Ariela 
Published: June 2023

Abstract
Identification of targeted therapies for autoimmune diseases is an unmet clinical need. Inspired by the clinical success of targeted immunotherapies in B cell malignancies, here we designed a novel class of recombinant proteins, Bi-specific AutoAntigen-T cell Engagers (BiAATEs), as a potential approach for targeting of autoreactive B cells in antibody-mediated autoimmune diseases for which the pathogenic autoantigen is known.
To test this hypothesis, we focused on a prototype antibody-mediated autoimmune diseases of the kidney, membranous nephropathy (MN), in which phospholipase A2 receptor (PLA2R) serves as primary nephritogenic antigen. Specifically, we developed a BiAATE expressing the immunodominant Cysteine-Rich (CysR) domain of PLA2R, joined to an anti-CD3 single-chain variable fragment by a flexible linker. As such, the BiAATE creates an immunological synapse between autoreactive B cells bearing an CysR-specific surface Ig+ and T cells. Ex vivo, the BiAATE successfully induced T cell-dependent depletion of PLA2R-specific B cells isolated form MN patients, sparing normal B cells. Systemic delivery of BiAATE in mice transgenic for human CD3 effectively reduced anti-PLA2R antibody levels following active immunization with PLA2R.
Collectively, these findings demonstrate the potential of BiAATEs as a promising off-the-shelf therapy for precision medicine in virtually all antibody-mediated autoimmune diseases, leading to a paradigm shift in the treatment of these diseases.
Regulatory Effect of the HMGB1-TLR4 Signaling Pathway in Pulmonary Ischemia/Reperfusion
Authors: Tan Zhaowang , Mao Yunyun , Cai Wenwei , Zheng Yueliang , Li Qian , Zhou Sheng Ang , Tu Jianfeng 
Published: June 2023

Abstract
Background Pulmonary ischemia/reperfusion (I/R) injury derived from hemorrhagic shock-resuscitation is a significant cause of death in trauma patients. However, effective preventive interventions in early trauma resuscitation are lacking.
Aims To investigate the critical role of the HMGB1-TLR4 pathway in the early inflammatory response after ischemia-reperfusion lung injury, and its specific regulatory mechanisms and the types of downstream cytokines regulated by this pathway.
Methods In this study, to determine the molecular mechanism underlying pulmonary I/R injury and identify effective therapeutic targets to reduce the incidence and mortality, the expression of the HMGB1-TLR4 pathway in a pulmonary I/R injury model, its correlation with downstream inflammatory factors, and the effects of HMGB1-neutralizing antibodies on inflammation were evaluated.
Results IL-6 and TNF-α levels in the three mouse models showed a rapid increase， IL-1β, IL-6, and TNF-α were upregulated in alveolar macrophages after LPS stimulation，TNF-α and HMGB1 were upregulated in TLR4+/+ cells and peaked at 48 h but was not upregulated in TLR4-/- cells. Western blot assays revealed that in TLR4+/+ cells, TLR4 was upregulated after stimulation by LPS and was rapidly downregulated after treatment with the HMGB1-neutralizing antibody. In contrast, TLR4-/- cells did not respond to LPS stimulation, and the HMGB1-neutralizing antibody did not significantly alter the TLR4 concentration.
Conclusions HMGB1-TLR4 pathway plays an important role in the regulation of inflammation in pulmonary I/R injury. Furthermore, HMGB1 upregulated downstream inflammatory factors via TLR4. HMGB1-neutralizing antibodies had a protective effect against lung injury by downregulating the inflammatory response.
Modeling the mechanical properties of sustainable mortar modified with waste glass granular (particles) using ANN and multi-scale approaches
Authors: Ahmad Soran Abdrahman , Abdulrahman Alan Saeed , Ramezanianpour Amir Mohammad , Rafiq Serwan Khwrshed , Mahmood Kawa Omar Fqi , Jafer Frya Shawkat 
Published: June 2023

Abstract
Since concrete and mortar production (industry) are the biggest natural resource user, their industry's sustainability are under threat. The environmental and economic concern is the most important challenge that the construction industry is facing. The usage of the waste materials in recent years become interested subject for researchers, one of these waste materials is waste glass usage as sand replacement. This article, dealt with proposing models to predict compressive strength of mortar which modified with waste glass granular, showing its effect on the compressive strength. In this paper, 134 data are collected from previous paper with different parameter and statically analyzed, and represented in four models (Linear regression model (LRM) and non-linear regression model (NLR), multi logistic regression model (MLR) and ANN model) for predicted compressive strength. In the process of modeling, these variables are important and affect on the value of compressive strength, such as curing time, w/c, cement content, sand content, waste glass content. Various statistical assessments such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Scatter Index (SI), OBJ value, and the coefficient of determination (R2) were used to evaluate the efficiency and performance of the proposed models. The obtained results showed that the ANN- model showed better efficiency for predicting the compressive strength of NC mixtures containing fine glass compared to other models.
On the Impact of Atmospheric Turbulence on OOK andBPSK Modulation Schemes for Satcom Optical Uplink
Authors: Medina I , Hernández-Gómez JJ , Couder-Castañeda C 
Published: June 2023

Abstract
The constant growth in the demand for communication services has implied an increase in the amountof information that needs to be transmitted, a situation that has led to the development of newtechnologies for the manipulation of information. Optical satellite communications have provided asolution to this problem, allowing to increase exponentially the transfer rate between the groundstation and an in orbit satellite. However, although this technology offers numerous advantages, suchas higher bandwidth, lower power consumption, narrower beam width, as well as greater simplicity ofdevelopment, it is highly dependent on atmospheric conditions, since the transmitted optical power isseriously affected by absorption and scattering phenomena, as well as by variations in the refractiveindex of the atmosphere due to temperature and humidity variations, among others. In this work,optical power fluctuations are modelled by means of a Gamma-Gamma optical turbulence model, sostrong turbulence conditions are established according to Rytov’s turbulence theory, considering ameasure of the intensity of the optical turbulence when extended to strong fluctuation conditions.Finally, the performance evaluation of BPSK and OOK modulation schemes for conditions withvariations of satellite height, pointing angle, based on atmospheric attenuation, signal scattering andabsorption is given. The results show better performance of the modulation schemes at low zenithpointing angles and large wavelengths (up to the short-wavelength IR). Moreover, BPSK modulationshows to be able to provide lower bit error (BER) values for a given signal-to-noise ratio, outperformingOOK modulation scheme in this sense.
Strongly coupled C@MoSe2@OMWCNT heterostructure as an anode for Na+ batteries
Authors: Yang Yincai , Wang Feng , Biang Mengru , Chen Youwen , Zhang Shiguo , Yu Zhen-Qiang , Au Chak-Tong , Yin Shuang-Feng , Qiu Renhua 
Published: June 2023

Abstract
Herein, based on oxidized multiwall carbon nanotubes (OMWCNTs), C@MoSe2@OMWCNT materials were successfully synthesized. Theoretically, the electron transfer intensity between the interfaces of GR@MoSe2@OSWCNT (oxidized single wall carbon nanotube) is significantly higher than that of C@MoSe2@SWCNT, which means that the interaction between the interfaces of C@MoSe2@OSWCNT is obviously stronger than that of C@MoSe2@SWCNT, improving the structural stability as anode materials for sodium ion batteries (SIBs). In addition, recombination can effectively reduce the Na+ diffusion barrier between MoSe2 layers in the composite (from 0.91 eV to 0.41 eV), promote the Na+ ion mobility of MoSe2 in the composite, and thus improve the rate performance of the SIB. Experimentally, when C@MoSe2@OMWCNT is used as the anode for the SIB, it shows good cycle stability (303 mA h g-1 and 189 mA h g-1 after 500 and 3000 cycles, respectively, under a current density of 5 A g-1).
The effects of probiotic Lactobacillus acidophilus and colchicine on the control of symptoms, duration, and disease progression of mild and moderate cases of COVID-19: A randomized controlled clinical trial
Authors: Hassan Samar Osama Ahmed , Hassan Ahmed Nour El-Din , Mohamed Manal Sabry , Ashram Mohamed Nabil Badawy Al , Nesim Mina Michael , Allam Mohamed Farouk 
Published: June 2023

Abstract

Background
Coronavirus disease 2019 (COVID-19) is a newly emerging human disease caused by a novel coronavirus, causing a global pandemic crisis. Probiotics and/or colchicine may be considered as options for treatment since they have anti-viral, anti-inflammatory, and immunomodulatory effects.
Objective
To assess the effectiveness of probiotic supplements (Lactobacillus acidophilus) and colchicine on symptoms, duration, and progression of mild and moderate cases of COVID-19 infection.
Methods
A three-arm randomized controlled clinical trial was carried out in the triage clinic of the family medicine department at Ain Shams University Hospitals on 150 participants who had been diagnosed as COVID-19 patients with mild and moderate severity. Patients aged below 18 years or above 65 years with any co-morbidities, pregnant or lactating females, and severe COVID-19 confirmed cases were excluded. Randomization was done by using sealed envelopes containing codes for intervention or control. Patients are followed up for improvement of their symptoms with no development of new symptoms over the course of two weeks.
Results
A total of 150 patients with mild and moderate severity of COVID-19 were enrolled in the study, 50 patients in each arm; around one third (34.7%) of the participants were aged between 29 and 39 years; one-quarter (24.7%) were aged between 18 and 28 years and 40.6% were aged 40 years and above. The mean duration of symptoms improvement was 12, 11 and 12 in the colchicine, probiotic, and control groups, respectively. Improvement of inflammatory markers over time occurred in each of the three groups, with no statistically significant difference between them.
Conclusion
Probiotic Lactobacillus acidophilus and colchicine shows no significant effect on the symptoms, duration, and progression of mild and moderate cases of COVID-19.
Computing Independent Dominating Sets in Hypercube Graphs
Authors: Chowdhury Debabani 
Published: June 2023

Abstract
An independent dominating set of a graph is a subset of vertices such that every vertex of the graph is either in he set or adjacent to a vertex in it, and no two vertices of the set are adjacent in the graph. An independent dominating set with the smallest cardinality is called the minimum independent dominating set. The independent domination number is the cardinality of the minimum independent dominating set. Finding a minimum independent dominating set in a graph is an NP-hard problem. This work computes in constant time the minimum independent dominating set in hypercube graph of dimension 2k , k being a positive integer ≥ 1. Furthermore, the independent dominating sets in the n-dimensional hypercube graphs, where 2k < n < 2k+1 −1, k being a positive integer ≥ 1, are computed in linear time. The cardinality of the computed independent dominating set in hypercube graphs of dimensions 2k < n < 2k+1 − 1 satisfies the upper bound of the independent domination number in hypercubes of these dimensions.
Comparative efficacy and economics of selected bio pesticides with Chlorantraniliprole against tomato fruit borer [Helicoverpa armigera (Hubner)] on tomato [Solanum lycopersicum L.]
Authors: Kushal Challagurugula , Kumar Ashwani 
Published: June 2023

Abstract
The field trial was conducted at Central Research Farm, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, UP during Rabi, 2022–2023. The experiment was laid out in RBD (Randomized Block Design). Eight treatments were evaluated against Helicoverpa armigera i.e., (T1) Chlorantraniliprole 18.5% SC (T2) ½Dose Chlorantraniliprole + Nisco sixer plus 2ml/lit (T3) Spinosad 45% SC (T4) Nisco sixer plus 2ml/lit (T5) Neem seed kernel extract 5% (T6) Azadirachtin 5% (T7) Beauvaria bassiana and (T0) untreated Control Were tested to compare the efficacy against Helicoverpa armigera and their influences on yield of Tomato. The best and most economical treatment T1 Chlorantraniliprole 18.5% SC (1:10.), followed by T2 ½Dose Chlorantraniliprole + Nisco sixer plus 2ml/lit (1:10.0) T3 Spinosad 45% SC (1:8.7), T4 Nisco sixer plus 2ml/lit (1:8.1), T5 Neem seed kernel extract 5% (1:6.9), T6 Azadirachtin 5% (1:6.5), T7 Beauvaria bassiana (1:5.8), T0 untreated control (1:4.9) having lowest B:C ratio. Chlorantraniliprole 18.5% SC, ½Dose Chlorantraniliprole + Nisco sixer plus 2ml/lit, Spinosad 45% SC, Nisco sixer plus 2ml/lit recorded the minimum fruit infestation by 8.57, 9.60, 10.66, 11.35 percent respectively. The highest yield was noticed in Chlorantraniliprole 18.5% SC (240.5 q/ha), followed by ½Dose Chlorantraniliprole + Nisco sixer plus 2ml/lit (232.5 q/ha) and Spinosad (200 q/ha).
Responses of activated sludge under a short-term exposure to facial scrub microbeads: implications from treatment performance and higher-life microbial population dynamics
Authors: Yazdanbakhsh Ahmadreza , Rafiee Mohammad , Mohammadi Zahra 
Published: June 2023

Abstract

In this study, four identical laboratory-scale sequencing batch reactors (SBRs) were continuously operated with different concentrations of microbeads (MBs) (5,000–15,000 MBs/L) to investigate the stress-responses of activated sludge under the MB exposure. It was found that the overall treatment performance (organic removal) of SBRs was fairly affected by short-term exposure to low levels of MBs; however, it was adversely affected as the concentration of MBs increased. The average concentration of mixed liquor suspended solids and heterotrophic bacteria in the reactor fed with 15,000 MBs/L were 16 and 30% less than in the pristine control reactor, respectively. Batch experiments further demonstrated that fairly low concentrations of MBs favored the development of dense microbial structures. Further increasing the MB concentrations to 15,000 MBs/L, however, distinctly weakened the settling performance of sludge. Morphological observations revealed suppressed uniformity, strength, and integrity of flocs reactors with the addition of MBs. Microbial community analyses revealed that the abundance of protozoan species declined 37.5, 58, and 64%, respectively, when SBRs were exposed to 5,000; 10,000; and 15,000 MBs/L as compared with the control reactor. The present work provided new insight into the possible effects of MBs on the performances and operational parameters of activated sludge.
Exploring the Molecular Mechanism of HongTeng Decoction against Inflammation
based on Network Analysis and Experiments Validation
Authors: Yang Yuanyuan , Bi Chongwen , Li Bin , Li Yun , Song Yin , Zhang Minghui , Peng Longxi , Fan Dongmei , Duan Rong , Li Zhengxiang 
Published: June 2023

Background:
HongTeng Decoction (HTD) is a traditional Chinese medicine that is
widely used to treat bacterial infections and chronic inflammation. However, its pharmacological
mechanism is not clear. Here, network pharmacology and experimental verification were applied
to investigate the drug targets and potential mechanisms of HTD in inflammation treatment.

Methods:
The active ingredients of HTD were collected from the multi-source databases and clarified
by Q Exactive Orbitrap analysis in the treatment of inflammation. Then, molecular docking
technology was used to explore the binding ability of key active ingredients and targets in HTD.
In vitro experiments, the inflammatory factors and MAPK signaling pathways are detected to verify
the anti-inflammatory effect of HTD on the RAW264.7 cells. Finally, the anti-inflammatory
effect of HTD was evaluated in LPS induced mice model.

Result:
A total of 236 active compounds and 492 targets of HTD were obtained through database
screening, and 954 potential targets of inflammation were identified. Finally, 164 possible targets
of HTD acting on inflammation were obtained. The PPI analysis and KEGG enrichment analyses
showed that the targets of HTD in inflammation were mostly related to the MAPK signaling
pathway, the IL-17 signaling pathway, and the TNF signaling pathway. By integrating the results
of the network analysis, the core targets of HTD in inflammation mainly include MAPK3, TNF,
MMP9, IL6, EGFR, and NFKBIA. The molecular docking results indicated solid binding activity
between MAPK3-naringenin and MAPK3-paeonol. It has been shown that HTD could inhibit the
levels of inflammatory factors, IL6 and TNF-α, as well as the splenic index in the LPS-stimulated
mice. Moreover, HTD could regulate protein expression levels of p-JNK1/2, and p-ERK1/2,
which reflects the inhibitory effect of HTD on the MAPKS signaling pathway.

Conclusion:
Our study is expected to provide the pharmacological mechanisms by which HTD
may be a promising anti-inflammatory drug for future clinical trials.
In silico Identification of Potential Inhibitors against Staphylococcus aureus
Tyrosyl-tRNA Synthetase
Authors: Monobe Kohei , Taniguchi Hinata , Aoki Shunsuke 
Published: June 2023

Background:
Drug-resistant Staphylococcus aureus (S. aureus) has spread from nosocomial
to community-acquired infections. Novel antimicrobial drugs that are effective against
resistant strains should be developed. S. aureus tyrosyl-tRNA synthetase (saTyrRS) is considered
essential for bacterial survival and is an attractive target for drug screening.

Objective:
The purpose of this study was to identify potential new inhibitors of saTyrRS by
screening compounds in silico and evaluating them using molecular dynamics (MD) simulations.

Methods:
A 3D structural library of 154,118 compounds was screened using the DOCK and
GOLD docking simulations and short-time MD simulations. The selected compounds were subjected
to MD simulations of a 75-ns time frame using GROMACS..

Results:
Thirty compounds were selected by hierarchical docking simulations. The binding of
these compounds to saTyrRS was assessed by short-time MD simulations. Two compounds with
an average value of less than 0.15 nm for the ligand RMSD were ultimately selected. The longtime
(75 ns) MD simulation results demonstrated that two novel compounds bound stably to saTyrRS
in silico.

Conclusion:
Two novel potential saTyrRS inhibitors with different skeletons were identified by
in silico drug screening using MD simulations. The in vitro validation of the inhibitory effect of
these compounds on enzyme activity and their antibacterial effect on drug-resistant S. aureus
would be useful for developing novel antibiotics.