bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of Solid Waste Marble Powder: Improving Quality of Sodium Chloride Obtained From Sulphate Rich Lake/Subsoil Brines With Simultaneous Recovery of High Purity Gypsum and Light Basic Magnesium Carbonate
Authors: Sanghavi Rahul J. , Upadhyay Sumesh C. , Kumar Arvind 
Published: December 2021

Abstract
Marble industry worldwide produces large amount of non-degradable marble dust powder (MDP) waste during mining and processing stages. MDP mainly comprises of CaCO3 with small amounts of Mg, Fe or Si in various forms. In India, mainly in Rajasthan state, marble is quarried in huge amounts and MDP thus produced is collected improperly and dumped at any abandoned land or identified disposal sites leading to several environment hazards. On the other hand, the composition of sub soil/lake brines of Rajasthan is typical in nature as it does not have much Ca2+ and Mg2+ impurities but contains higher levels of SO42-. Therefore, the common salt (NaCl) produced from such brines is contaminated with Na2SO4 (8-30 wt%) depending upon SO42- concentration in the brine. Such a salt produced is neither suitable for edible purpose nor for industrial usage. Herein, we have reacted MDP with HCl, and the resulting solution (CaCl2 and MgCl2 slurry) is used in stoichiometric ratio of Ca2+ to SO42- in brines to produce high purity NaCl and gypsum (CaSO4·2H2O) via fractional crystallization. Remaining magnesium containing solution was reacted with Na2CO3 to prepare high purity light basic magnesium carbonate hydrate. Purity of crystallized NaCl, CaSO4·2H2O and MgCO3·6H2O has been ascertained through analytical and spectral methods (TGA, FTIR, P-XRD). Field emission scanning electron microscopy (FE-SEM) was used to elucidate morphology of crystals. The method reported for improving purity of NaCl along with CaSO4·2H2O and MgCO3·6H2O production from sulphate rich brines is simple and economic, and allow management of MDP generated in huge amounts, which poses problems of disposal and creates environment hazards.
Nanoreceptors promote mutant p53 protein degradation by mimicking selective autophagy receptors
Authors: Wen Long-ping , Huang Xiaowan , Cao Ziyang , Ding Tao , Qian Jieying , Zhang Hao , Zhong Suqin , Wang Xiaoli , Yao Guangyu , Yang Xian-Zhu , Zhang Yunjiao 
Published: December 2021

Abstract
More than half of human malignant tumors harbor TP53 gene mutations, most of which are point mutations within the DNA-binding domain of TP53, resulting in mutant p53 (mutp53) protein stabilization and accumulation in the cell and enhanced tumor progression. Depletion of mutp53 through the autophagy or proteasome pathway is considered the most direct strategy to target mutp53 for tumor treatment. However, due to the lack of specific autophagy receptors and the insufficient level of autophagy in tumor cells, targeted degradation of mutp53 by nanomaterials via the autophagy pathway has not been reported. Here, we propose a type of "nanoreceptors" (denoted NRs) that mimics selective autophagy receptors and develop a new platform for targeted degradation of mutp53. The NRs specifically bind mutp53 in tumor cells via mutp53-binding peptide (MBP). In addition, the level of cell autophagy is greatly increased due to the incorporated of cationic lipid. As a result, the NRs effectively degrade mutp53 through the autophagy pathway with complete autophagic flux. The knockout of ATG5, an essential autophagy-related gene, significantly inhibited the NRs-induced degradation of mutp53, demonstrating the critical role of autophagy in this effect. Subsequently, the degradation of mutp53 by the NRs abrogated mutp53-conferred gain-of-function (GOF) phenotypes, including enhanced cell proliferation and cell migration and reduced sensitivity to cisplatin (CDDP). Last, Pt(IV)-loaded NRs (NRs/Pt, consisting of Pt(IV) prodrug encapsulated in the NRs) showed outstanding synergistic antitumor effects in an ES-2 ovarian cancer model and a patient-derived xenograft (PDX) ovarian cancer model. Collectively, our study suggests the use of NRs/Pt as a new biomimetic nanoplatform for regulating autophagy, providing new ideas for precise tumor treatments that target mutp53.
Impact of HIV-Associated Cognitive Impairment/Functioning On Functional Independence, Frailty And Quality of Life In The Modern Era: A Systematic Review With Meta-Analysis
Authors: Nweke Martins , Nombeko Mshunqane , Govender Nalini , Akinpelu Aderonke O. , Ukwuoma Maryjane 
Published: December 2021

Abstract
Background: HIV-associated neurocognitive disorder (HAND) is an important sequela of HIV infection. Combined antiretroviral therapy (cART) has improved the health outcomes of many people living with HIV but has given rise to a less severe but limiting form of HAND. The study aimed to evaluate the impact of HAND on medication adherence, activities of daily living (ADL), quality of life and frailty.Methods: This systematic review adheres to the guidelines for Preferred Reporting Items for Systematic Reviews and Meta-Analyses. We searched MEDLINE, PubMed, CINAHL, Academic Search Complete, and PsycINFO online databases. Studies were included if they examined the relationship between HAND and medication adherence, ADL, quality of life and frailty, and were conducted between 1997 and 2021. We used a random-effects meta-analysis model to assess the impact of HAND on outcome variables.Results: Forty papers, totalling 11540 participants, were included in the narrative and quantitative syntheses. Forty papers were included in the narrative and quantitative syntheses. The 40 studies provided data for 11540 participants. Cognitive impairment was associated with poorer medication adherence (r=0.601, CI 0.338 to 0.776, p =0.001, I2= 94.66). Cognitive impairment did not influence ADL (r=0.167, CI-0.215 to 0.505, p= 0.393) and quality of life (r= 0.244, CI 0.117 to 0.548, p =0.182).Conclusions: In the cART era, HAND appears to be associated with adherence to medication, which may influence future health outcomes. In PLWHIV who are adherent to ART, cognitive impairment does not appear to interfere with ADL and quality of life. Registration: PROSPERO- CRD42021240726.
IVF and Early Pregnancy Outcome in Recent COVID 19 Recoverees.
Authors: Yossef Kabalkin B. , Bentov Yaakov , Gil Moran , Beharier Ofer , Jaber Sireen , Moav Arbel , Khwies Dua' , Ben-Meir Assaf , Broder Efrat Esh , Walfisch Asnat , Holzer Hananel , Hershko Anat 
Published: December 2021

Abstract
Background: COVID-19 global pandemic has affected more than 250 million people so far. Data regarding potential effects on reproduction are still limited. Our aim was to examine the effect of COVID-19 on post exposure IVF cycle parameters and obstetric outcomes of IVF-achieved pregnancies.The study contained two arms: a retrospective arm comparing IVF outcome parameters among patients exposed to COVID-19 having an IVF cycle within 3 months of exposure. Post COVID-19 cycle parameters were compared to previous cycles of the same individual, performed within one year of exposure. If not available, parameters were compared to non-exposed matched patients. Sperm parameters were compared before and after exposure. The second arm was prospective comparing pregnancy outcomes among IVF patients who contracted COVID-19 during pregnancy, vs. those who did not. Results: The first arm included 120 cycle of which 60 were in exposed female patients and another 60 in either the same patients prior to exposure or matched non exposed patients. Generally, total FSH dose, cycle length, and ovarian response did not significantly differ across exposure groups: including peak serum estradiol, number of oocytes and endometrial thickness, fertilization rate and number of top-quality embryos, were similar between exposed and non-exposed cycles. In 11 of the cycles in which the female partner was exposed the male partner had been recently exposed as well. In these couples, sperm quality showed a significantly lower post-exposure concentration: 6.27million/ml vs. 16.5 (p= 0.008). Interviews conducted in 189 patients with IVF-achieved pregnancies: pregnancy loss was as well as other pregnancy related complications and hospital admissions did not differ between groups. Conclusion: IVF treatment parameters and IVF-achieved pregnancies appear to be unaffected by SARS-CoV-2 exposure and do not involve an excess risk. Sperm concentration seems to be compromised.
Oncological and Obstetric Results After Radical Trachelectomy as the Fertility-Sparing Therapy on Early-Stage (FIGO 2018 Stage IA2-IB3) Cervical Cancer Patients
Authors: Chen Tao , Li Jia , Zhu Yan , Lu AnWei , Zhou Li , Wang JianSan , Zhang Ying , Wang JunTao 
Published: December 2021

Abstract
Purpose To explore the oncological and obstetric results after radical trachelectomy in early-stage cervical cancer. Methods Retrospective analysis of the oncological and obstetric results to 23 patients with early cervical cancer (stage IA2-IB3; International Federation of Gynecology and Obstetrics 2018) accepting radical trachelectomy in The Maternal and Child Health Care Hospital of Guiyang from Oct 2004 to Sep 2018. Results Among those patients with tumor size＞4cm (up to 5cm) three patients who wished to preserve fertility accepted radical trachelectomy after neoadjuvant chemotherapy. 23 patients had cervical tumors of the histological type squamous cell carcinoma (SCC). All of the patients retained reproductive function. The mean time of the follow-up was 112.87±55.75months(36-199months). The median tumor size was 2.00±1.35cm (invisible by eyes-5.00cm). No occurred recurrence in any of the cases. Pregnancy outcomes are described as follows: 17 cases attempted to pregnancy, in which 8 cases (47.06%) conceived 12 times. First-trimester abortion and voluntary abandonment of pregnancy occurred in 4 cases (33.33%) respectively, one among patients who choose to abandon pregnancy being induced at 24 weeks of gestation. Second-trimester abortion occurred in3 cases (25.0%), and the reason for abortion was chorioamnionitis. Premature delivery at 32 weeks occurred once (8.33%). Conclusion Radical trachelectomy is a safe and effective treatment for young women with early-stage cervical cancer. Neoadjuvant chemotherapy and Radical trachelectomy provides the possibility of preserving pregnant ability for patients with cervical tumor＞4cm. However, it is worth further exploration.
A multi-stem cell basis for craniosynostosis and calvarial mineralization
Authors: Greenblatt Matthew , Bok Seoyeon , Yallowitz Alisha , McCormick Jason , Cung Michelle , Sun Jun , Lalani Sarfaraz , Li Zan , Baumgartner Tomas , Byrne Paul , Sosa Branden , Zhang Tuo , Mohamed Fatma , Ge Chunxi , Franceschi Renny , Cowling Randy , Greenberg Barry , Pisapia David , Imahiyerobo Thomas , Lakhani Shenela , Ross Margaret , Hoffman Caitlin , Debnath Shawon 
Published: December 2021

Abstract
Craniosynostosis is a group of disorders of premature calvarial sutural fusion. An incomplete understanding of the calvarial stem cells (CSCs) that produce fusion-driving osteoblasts has limited the development of non-surgical therapeutic approaches for craniosynostosis. Here we show that both physiologic calvarial mineralization and pathologic calvarial fusion in craniosynostosis reflect the interaction of two separate stem cell lineages; a recently reported CathepsinK (CTSK) lineage CSC (CTSK+ CSC)1 and a separate Discoidin domain-containing receptor 2 (DDR2) lineage stem cell (DDR2+ CSC) identified in this study. Deletion of Twist1, a gene associated with human craniosynostosis2,3, solely in CTSK+ CSCs is sufficient to drive craniosynostosis, however the sites destined to fuse surprisingly display a marked depletion of CTSK+ CSCs and a corresponding expansion of DDR2+ CSCs. This DDR2+ CSC expansion is a direct maladaptive response to CTSK+ CSC depletion, as partial suture fusion occurred after genetic ablation of CTSK+ CSCs. This DDR2+ CSC is a specific fraction of DDR2+ lineage cells that displayed full stemness features, establishing the presence of two distinct stem cell lineages in the sutures, with each population contributing to physiologic calvarial mineralization. DDR2+ CSCs mediate a distinct form of endochondral ossification where an initial cartilage template is formed but the recruitment of hematopoietic marrow is absent. Direct implantation of DDR2+ CSCs into suture sites was sufficient to induce fusion, and this phenotype was prevented by co-transplantation of CTSK+ CSCs. Lastly, the human counterparts of DDR2+ CSCs and CTSK+ CSCs are present in calvarial surgical specimens and display conserved functional properties in xenograft assays. The interaction between these two stem cell populations provides a new biologic interface to modulate calvarial mineralization and suture patency.
Assessing Cellulose Micro/Nanofibre Morphology Using a High Throughput Fibre Analysis Device to Predict Nanopaper Performance
Authors: Pennells Jordan , Heuberger Bérénice , Chaléat Céline , Martin Darren J. 
Published: December 2021

Abstract
Characterising cellulose nanofibre (CNF) morphology has been identified as a grand challenge for the nanocellulose research field. Direct techniques for CNF morphology characterisation exhibit various difficulties related to the material network structure and equipment cost, while indirect techniques that investigate fibre-light interaction, fibre-solvent interaction, fibre-fibre interaction, or specific fibre surface area involve relatively facile methods but may be more unreliable. Nanopaper mechanical testing is a prevalent metric for assessing fibre-fibre interaction, but is an off-line, time-consuming, and destructive methodology. In this study, an optical fibre morphology analyser (MorFi, TechPap) was employed as an on-line, high throughput, fast turnaround tool to assess micro/nanofibre pulp morphology and predict the properties of nanopaper material. Correlation analysis identified fibre content and fibre kink properties as most correlated with nanopaper strength and toughness, while fibre width and coarseness were most inversely correlated with nanopaper performance. Principal component analysis (PCA) was employed to visualise interdependent morphological and mechanical data. Subsequently, two data driven statistical models - multiple linear regression (MLR) and machine learning based support vector regression (SVR) - were established to predict nanopaper properties from fibre morphology data, with SVR generating a more accurate prediction across all nanopaper properties (NRMSE = 0.13-0.33) compared to the MLR model (NRMSE = 0.33-0.51). This study highlights that statistical methods are useful to disentangle and visualise interdependent morphological data from an on-line fibre analysis device, while regression models are also capable of predicting paper mechanical properties from CNF samples even though these devices do not operate at nanoscale resolution.
A Marker-Less Monocular Vision Point Positioning Method for Industrial Manual Operation Environments
Authors: Geng Junhao , Zhao Xinyang , Guo Zhenxin , Zhang Shangan , Tang Jianjun , Rong Yiming , Ma Yongsheng 
Published: December 2021

Abstract
Vision-assisted technologies in industry such as Augmented Reality (AR) are increasingly popular. They require high positioning accuracy and robustness in industrial manual operation environments. However the narrow space and moving hands or tools may occlude or obscure local visual features of operation environments, affect the positioning accuracy and robustness of operating position. It may even cause misoperation of operators because of misguidance. This paper proposes a marker-less monocular vision point positioning method for vision-assisted manual operation in industrial environments. The proposed method can accurately and robustly locate the target point of operation using constraint minimization method even the target area has no corresponding visual features in the case of occlusion and improper illumination. The proposed method has three phases: intersection generation, intersection optimization and target point solving. In the intersection generation stage, a certain number intersections of epipolar lines are generated as candidate target points using fundamental matrices. Here the solving constraint is converted from point-to-line to point-to-points. In the intersection optimization stage, the intersections are optimized to two different sets through the iterative linear fitting and geometric mean absolute error methods. Here the solving constraint is converted from point-to-points to point-to-point sets. In the target point solving stage, the target point is solved as a constrained minimization problem based on the distribution constraint of the two intersection sets. Here the solving constraint is converted from point-to-point sets to point-to-point and the unique optimal solution is obtained as the target point. The experimental results show that this method has a better accuracy and robustness than the traditional homography matrix method for the practical industrial operation scenes.
Clinical Efficacy Analysis and Long-Term Follow-Up Outcomes of Robotic Versus Laparoscopic Sphincter-Preserving Surgery in Total Mesorectal Excision for Low Rectal Cancer: A Retrospective Cohort Study
Authors: Yang Bo , Zhang Shangxin , Yang Xiaodong , wang Yigao , Li Deguan , Zhao Jian , Li Yongxiang 
Published: December 2021

Abstract
Objective: The aim of this study is to compare short-term clinical efficacy and long-term follow-up outcomes of robotic-assisted sphincter-preserving surgery (RAS) with laparoscopic-assisted sphincter-preserving surgery (LAS) for low rectal cancer.Method: This was a single-center retrospective cohort study of consecutive patients diagnosed with low rectal cancer who underwent laparoscopic or robotic sphincter-preserving surgery (RAS 200, LAS 486) between January 1, 2015 and July 1, 2018. Results: Mean operation time was 249±64 min for RAS group and 249±64 min for LAS group (P＜0.001). the rate of temporary ileostomy was 64.5% for RAS and 51.6% for LAS (P=0.002). Time to liquid diet, firstly leaving bed time, removing catheter time and length of stay showed significant difference (all P＜0.001). The distance of distal resection margin in RAS group was closer than LAS group (P=0.004). The recovery from decreased urinary and female sexual function took more than 6 months after surgery in LAS group (P＜0.0001) but 3 months in RAS group (P＜0.0001). Male sexual function 6 months postoperatively was better in RAS group than LAS group (P＜0.001). The Wexner score showed similar results at 6 months after surgery (P＜0.001). And no significantly group difference were observed for OS or DFS at 3 and 5 years after surgery.Conclusion: Both robotic and laparoscopic sphincter-preserving surgery for low rectal cancer are safe and effective in clinical efficacy and long-term outcomes. The robotic approach showed some advantages in short-term recovery of urogenital and anorectal function.
BMP1 is Not Required for Lung Fibrosis in Mice
Authors: Ma Hsiao-Yen , N’Diaye Elsa-Noah , Caplazi Patrick , Huang Zhiyu , Arlantico Alexander , Jeet Surinder , Wong Aaron , Brightbill Hans , Li Qingling , Wong Weng Ruh , Sandoval Wendy , Tam Lucinda , Newman Robert , Roose-Girma Merone , Ding Ning 
Published: December 2021

Abstract
Bone morphogenetic protein 1 (BMP1) belongs to the astacin/BMP1/tolloid-like family of zinc metalloproteinases, which play a fundamental role in the development and formation of extracellular matrix (ECM). BMP1 mediates the cleavage of carboxyl terminal (C-term) propeptides from procollagens, a crucial step in fibrillar collagen fiber formation. Blocking BMP1 by small molecule or antibody inhibitors has been linked to anti-fibrotic activity in the preclinical models of skin, kidney and liver fibrosis. Therefore, we reason that BMP1 may be important for the pathogenesis of lung fibrosis and BMP1 could be a potential therapeutic target for progressive fibrotic disease such as idiopathic pulmonary fibrosis (IPF). Here, we observed the increased expression of BMP1 in both human IPF lungs and mouse fibrotic lungs induced by bleomycin. Furthermore, we developed an inducible Bmp1 conditional knockout (cKO) mouse strain. We found that Bmp1 deletion does not protect mice from lung fibrosis triggered by bleomycin. Moreover, we found no significant impact of BMP1 deficiency upon C-term propeptide of type I procollagen (CICP) production in the fibrotic mouse lungs. Based on these results, we propose that BMP1 is not required for lung fibrosis in mice and BMP1 may not be considered a candidate therapeutic target for IPF.
An Intelligent System for Prediction of Severity of SARS-Cov-2 Infection and Progression to Critical Illness: Using Machine Learning Models
Authors: afrash mohammad reza , Yaghoubi Maryam , Rahimi Fatemeh , Shanbehzadeh Mostafa , Bahadori Mohammadkarim 
Published: December 2021

Abstract
Introduction: The rapid worldwide outbreak of coronavirus disease 2019 (COVID-19) has posed serious and extraordinary challenges to healthcare industries in predicting disease behavior, and outcomes. Aim: This study aimed to develop a Clinical Decision Support System (CDSS) for predicting the severity of SARS-CoV-2 infection and progression to critical illness in a patient with COVID-19 using several machine learning algorithms. Material and Methods: Using a two-center registry, the data of 2482 COVID-19 patients from February 9, 2020, to December 20, 2020, were reviewed. The Relief Feature Selection (RFS) algorithm was used for optimizing the input variables. Then, selected variables feed into ML models including XGBoost, HistGradient Boosting (HGB), Random Forest (RF), and Naïve Bayesian (NB) to construct prediction models. Afterwards, the performance of each combination was compared using some evaluation metrics. Eventually using the best ML model performance, a Clinical Decision Support System (CDSS) was implemented with C# programming language.Results: of the 63 included variables, 15 features were identified as the most important predictors. The experimental results indicated that the HGB classifier with an average classification accuracy of 94.2%, mean specificity of 92.4%, mean sensitivity of 91%, mean F-score of 87.2 %, and finally mean AUC of 87.3 % was selected as the most appropriate machine learning model for predicting the Severity of SARS-CoV-2.Conclusion: The results of this study showed that the hybrid ML algorithms and in particular the RFS-HGB (by optimizing input variables and customizing the structure of the algorithms (can help the frontline clinicians to predict the severity of COVID-19 progression.