bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of the Safety and Immunogenicity of the BNT-162b2 Vaccine and the ChAdOx1 Vaccine for Solid Organ Transplant Recipients: A Prospective Study
Authors: Ajlan Aziza A. , Ali Tariq , Aleid Hassan , Almeshari Khalid , DeVol Edward , Alkaff Morad Ahmed , Fajji Layal , Alali Ali , Halabi Dani , Althuwaidi Sahar , Alghamdi Saad , Ullah Asad , Alrajhi Abdulrahman , Bzeizi Khalid , Almaghrabi Reem , Marquez Kris Ann Hervera , Elmikkaoui Bilal , Albogumi Eid , Aldakhil Haifa , Al-Awwami Moheeb , Broering Dieter C. 
Published: July 2022

Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and its resulting disease, coronavirus disease 2019 (COVID-19), has spread to millions of people worldwide. Preliminary data from organ transplant recipients have shown reduced seroconversion rates after the administration of different SARS-CoV-2 vaccination platforms. However, it is unknown whether different vaccination platforms provide different levels of protection against SARS-CoV-2. To answer this question, we prospectively studied 431 kidney and liver transplant recipients (kidney: n=230; liver: n=201) who received either the ChAdOx1 vaccine (n=148) or the BNT-162b2 vaccine (n=283) and underwent an assessment of immunoglobulin M/immunoglobulin G spike antibody levels. The primary objective of the study is to directly compare the efficacy of two different vaccine platforms in solid organ transplant recipients by measuring of immunoglobulin G (IgG) antibodies against the RBD of the spike protein (anti-RBD) two weeks after first and second doses. Our secondary endpoints were solicited specific local or systemic adverse events within 7 days after the receipt of each dose of the vaccine. There was no difference in the primary outcome between the two vaccine platforms in patients who received two vaccine doses. Unresponsiveness was mainly linked to diabetes. The rate of response after the first dose among younger older patients was significantly larger; however, after the second dose this difference did not persist (p = 0.079). Side effects were similar to those that were observed during the pivotal trials.
Flow Forecasting and Measuring Environmental Flow Using Machine Learning Techniques
Authors: Pal Swades , SAHA TAMAL KANTI 
Published: July 2022

Abstract
Flow alteration study in rivers persuaded by damming is well studied and reported significant flow failure. But how far the existing flow is ecologically ambient, in near future and what will be such situation are less addressed. Particularly, no such work is available in Atreyee river, a transboundary river between India and Bangladesh, the present area of interest. But it is essential from socio-ecological and ecosystem standpoints. Considering this, the present study has tried to predict river flow and assess its ecological relevance using soft computing advanced machine learning techniques like ANN, SVM and RF. Eco-deficit and surplus were assessed using a flow duration curve (FDC). The results indicate all the months' recorded eco-deficit conditions. Estimated environmental flow is moderately modified at present as per Environmental Management Class (EMC). The observed flow is 37.8m3/sec which is less than FDC estimated environmental flow (42.3m3/sec). Predicted flow in 2028, as per the best suited ANN, would be 56% lesser than present indicating the further departure of flow from the required environmental flow. It will perhaps pose an excessive burden to the ecosystem and socio-ecological fabrics.
scAEQN: A Batch Correction Joint Dimension Reduction Method on scRNA- seq Data
Authors: Song Si-Ning , Liu De-Min , Wang Hai-Yun , Zhao Jian-Ping , Zheng Chun-Hou , Su Yan-Sen 
Published: July 2022

Abstract
Background
With the continuous progress of single-cell RNA sequencing technology, the scale of single-cell RNA sequence(scRNA-seq) dataset is increasing, which produces batch effects and affects the downstream analysis of scRNA-seq datasets, such as cluster analysis, gene differential expression analysis, and so on.
Results
Based on the background, we propose a novel batch correction joint dimensionality reduction method named scAEQN, which utilizes the QuantNorm to obtain coefficient matrix and constructs autoencoder to approximate the coefficient matrix, and eventually obtains the low-dimensional representation and the reconstruct of the data. We compared different batch correction methods on six real single-cell RNA sequencing datasets, and scAEQN outperforms benchmark batch-effect correction methods in downstream analyses.
Conclusion
scAEQN can remove batch effects effectively and retain cell type cluster pattern greatly, which provides strong support for downstream analysis. scAEQN improves the performance of clustering and selects more representative differential expression genes in the analysis of gene differential expression.
Association between thyroid cysts and chronic kidney disease (CKD) by systolic hypertension status among the general Japanese population: a cross-sectional study
Authors: Shimizu Yuji , Kawashiri Shin-Ya , Noguchi Yuko , Matsuzaka Yusuke , Nakamichi Seiko , Nagata Yasuhiro , Maeda Takahiro , Hayashida Naomi 
Published: July 2022

Abstract
Our previous study revealed that thyroid cysts might have a beneficial effect on thyroid hormone activation. Subclinical hypothyroidism is reportedly associated with chronic kidney disease (CKD). Since systolic hypertension is associated with hyperthyroidism and thyroid cysts are associated with systolic hypertension, the presence of thyroid cysts could be inversely associated with CKD, especially in patients with systolic hypertension. Such an association could indicate that thyroid cysts have a beneficial effect on thyroid hormone activation. To investigate systolic hypertension status-specific associations between thyroid cysts and CKD, a cross-sectional study with 1,750 individuals aged 40–74 years who participated in annual health check-ups was conducted. Independent of thyroid hormone levels (free triiodothyronine (T3) and thyroid-stimulating hormone (TSH)), the presence of thyroid cysts was significantly inversely associated with CKD in subjects with systolic hypertension, but not in subjects without systolic hypertension. The adjusted odd ratios and 95% confidence intervals were 0.52 (0.28, 0.98) for subjects with systolic hypertension and 1.11 (0.82, 1.50) for subjects without systolic hypertension. Thyroid cysts might affect CKD in a beneficial manner. Systolic hypertension could act as an effect modifier on the association between thyroid cysts and CKD. These findings could help clarify thyroid-related mechanisms of CKD development.
Local Anesthesia vs. General Anesthesia for Percutaneous Microwave Ablation in Hepatocellular Carcinoma, an Efficacy, Safety, and Cost Analysis
Authors: Zhan Jing-Yin , Tang Zhen-Lei , Leng Hao-Qun 
Published: July 2022

Abstract
Purpose: To compare the efficacy, safety, and cost between local anesthesia and general anesthesia modality for percutaneous microwave ablation in hepatocellular carcinoma patients who received combination therapy for curative treatment purposes.Methods: This comparative, retrospective analysis analyzed 175 patients treated for hepatocellular carcinoma (HCC) from July 2015 to September 2020. Patients were divided into two cohorts according to the anesthesia modality applied during the percutaneous microwave ablation (MWA) procedure. To investigate the differences in efficacy between the two groups, overall survival (OS) and local recurrence-free survival (LRFS) were estimated by the Kaplan-Meier method and compared by the log-rank test. Propensity score matching (PSM) was performed using a caliper width of 0.2 between two groups. Cost and safety between the two groups were also compared accordingly.Results: There was 105 patients with 128 HCC lesions in the local anesthesia (LA) group while 70 patients with 107 lesions in the general anesthesia (GA) group. No significant differences in OS (P=0.798) and LRFS (P=0.406) between the two groups. 51 pairs of patients were matched with 78 lesions in the GA group and 68 lesions in the LA group after PSM. There were no significant differences in the OS (P=0.522) and LRFS (P=0.410) between the two groups as well. Compared to the LA group, there was more MWA procedure time spent, medical resources consumption, and financial stress undertaken in the GA group. However, no statistical differences were observed in post-ablation pain, adverse events, and complications between the two groups. Conclusion: Due to the higher cost of general anesthesia, local anesthesia may be more adaptive during ablation procedure for HCC patients within Milan criteria.
Lessons from Earthquake-affected Structures: The Necessity of Structural Health Monitoring and Instrumentation
Authors: Rabiepour Mohammad , Chase James Geoffrey , Zhou Cong 
Published: July 2022

Abstract
This paper studies two highly earthquake-affected structures in New Zealand, where visual inspection outcomes missed damage, resulting in incorrect and delayed decisions, which cost lives and wasted resources. Specifically: 1) the un-instrumented Canterbury Television (CTV) building; and 2) the instrumented Bank of New Zealand (BNZ) building. This study uses these known outcomes to highlight the importance of reliable structural health monitoring (SHM) methods and SHM instrumentation in earthquake-prone areas, where each damaging earthquake and subsequent further-damaging aftershocks demand continuous monitoring to continuously assess damage and risk to safety.

Elastic spectral analyses are carried out for the CTV building using the earthquake acceleration records at a station near the CTV building. For the BNZ building, inter-story drift ratio (IDR) analyses are conducted based on the building's instrumentation data. These simple, low-cost analyses indicate the damage and deterioration in both structures, and thus the importance of sensor networks and SHM instrumentation so quantitative analysis can rapidly examine subjective visual inspection results or better target and augment these inspections. Finally, this study introduces the hysteresis loop analysis (HLA) in the context of the instrumented BNZ building, showing the ability to provide necessary monitoring to assess damage and risk.

This paper does not aim to criticize post-earthquake inspections or inspectors. However, it does aim to draw attention to the fact visual inspections are inherently unreliable, and current post-earthquake evaluation policies should be upgraded considering advances in instrumentation technologies and SHM methods. The paper ends discussing how the combined actions of all stakeholders are essential for successful, effective post-earthquake evaluations.
A new method for background noise cancellation using Least Mean Square Filter and Discrete Wavelet Transform for medical applications
Authors: Manickam Chitra , Govindasamy Murugesan , Muthusamy Suresh , Panchal Hitesh 
Published: July 2022

Abstract
Crowd noise, fan noise, exhibition noise, vehicular traffic, and certain other noises in our environment impede with the clear speech signal, making speech creepier and clumsier at the receiver end. As a direct consequence, the information will be incomprehensible to the receiver. Noise cancellation was developed in order to overcome these obstacles. Adaptive filters are often used to cancel disturbances caused by non-stationary signals. In this project, cancellation of noises in Electrocardiogram (ECG) and the analysis is performed. For responsive noise cancellation, the Least Mean Square (LMS) algorithm is used in this project. First, we have used ECG signal as a speech signal and the Power line interference (PLI) signal as a noise signal, which is a 50Hz-generated combination of sine and cosine signals. Simulink architectures for Four tap, eight tap, and Sixteen tap structures are constructed and investigated for their performance by establishing SNR structure and comparing corresponding SNR values. This is the systematic approach of noise cancellation via adaptive filters. For processing a random noise, conventional noise cancellation methods require an external noise as a reference signal. A method towards synthesizing reference input from raw speech signals is proposed and this is achieved by the Discrete Wavelet Transform. Using the wavelet decomposition methodology, this DWT is employed to generate the reference noise. Other applications of adaptive filtering encompass noise cancellation, line enhancements, frequency tracking, standard of practice, so on and so forth. Variable parameters such as convergence, tracking, computational complexity, steady state error, and stability govern the adaptive filter's transfer function in a system with a linear filter, and therefore a methodology to tweak those parameters according to the adaptive algorithm. Signal to Noise Ratio for ECG signals is compared and tabulated. When signal denoising, the signal to noise ratio (SNR) is regarded as an essential metric. It varies depending on the signal, and it will be strong only if the noise proportion is decreased.
Movement predictability of individual barn owls facilitates home range size and survival estimation
Authors: Cain Shlomo , Solomon Tovale , Leshem Yossi , Toledo Sivan , Arnon Eitam , Roulin Alexandre , Spiegel Orr 
Published: July 2022

Abstract
Background.
There is growing attention to individuality in movement, its causes and consequences. Accumulating evidence demonstrates that conspecifics differ repeatably in their spatial behaviors, forming behavioral types (“spatial-BTs”), similarly to other well-established personality traits (e.g., boldness or sociability). Spatial-BTs are typically described as the difference in the mean level among individuals, while the intra-individual variation (IIV, i.e., predictability) is only rarely considered. Studies identifying the factors that determine predictability or its ecological consequences for broader space use patterns are even more sparse, in part because it was mostly tested in captivity (e.g., with repeated boldness assays). Here we test if [i] individuals differ in their movement and specifically in their predictability. We then investigate [ii] the consequences of this variation for home range size and survival estimates, and [iii] the factors that affect individual predictability.
Methods.
We tracked 92 barn owls (Tyto alba) at very high resolution (every few seconds) using an ATLAS system, and monitored their survival. We calculated movement and space-use indices (e.g., max-displacement and home-range size, respectively) from the trajectories (115.2 ± 112.1 nights; X̅±SD) and then used double-hierarchical and general mix models to assess spatial-BTs, individual predictability in nightly max-displacement, and its consistency across time. Finally, we explored if predictability levels were associated with home-range estimates and survival, as well as the seasonal and demographic factors (age, sex) that affect it.
Results.
Our dataset revealed clear patterns of individualism in owls’ movement. Individuals differed consistently both in their mean movement (e.g., max-displacement) and their IIV around it (i.e., predictability). Further, more predictable individuals had smaller home-ranges and lower survival rates, on top and beyond the expected effects of their spatial-BT (max-displacement), sex, and age. Juveniles were less predictable than adults, but sexes did not differ in their predictability.
Conclusion.
These results demonstrate that individual predictability may act as an overlooked axis of spatial-BT with potential implications for relevant ecological processes at the population level and individual fitness. Considering how individuals differ in their IIV of movement beyond the mean-effect can facilitate understanding the intraspecific diversity, predicting their responses to changing ecological conditions and their population management.
Cas9-Mediated Knockout of Ndrg2 Enhances the Regenerative Potential of Dendritic Cells for Wound Healing
Authors: Henn Dominic , Zhao Dehua , Chen Kellen , Trotsyuk Artem , Bonham Clark-Andrew , Fischer Katharina , Kehl Tim , Fehlmann Tobias , Sivaraj Dharshan , Greco Autumn , Illouz Sylvia Moortgat , Padmanabhan Jagannath , Barrera Janos , Kneser Ulrich , Lenhof Hans-Peter , Januszyk Michael , Levi Benjamin , Keller Andreas , Longaker Michael , Qi Lei , Gurtner Geoffrey 
Published: July 2022

Abstract
Chronic wounds impose a significant healthcare burden to a broad patient population. Cell based therapies, while having shown benefits for the treatment of chronic wounds, have not achieved widespread adoption into clinical practice. Here, we developed a novel CRISPR/Cas9 approach to precisely edit dendritic cells (DCs) to enhance their therapeutic potential for healing chronic wounds. Using single-cell RNA sequencing (scRNA-seq) of tolerogenic DCs, we discover N-myc downregulated gene 2 (Ndrg2), which marks a specific population of DC progenitors, as a promising target for CRISPR knockout (KO). Ndrg2-KO alters the transcriptomic profile of DCs and preserves an immature cell state with a strong, pro-angiogenic and regenerative capacity. We then incorporated our CRISPR-based cell engineering within a hydrogel technology for in vivo cell delivery and developed a highly effective translational approach for DC based immunotherapy that accelerated healing of full-thickness wounds in both non-diabetic and diabetic mouse models. These findings could open the door to future clinical trials using safe gene editing in DCs for treating various types of chronic wounds.
Candidate disease genes identification in patients with congenital neutropenia and a new PID condition
Authors: Shinwari Khyber , Khan Muhammad Ajmal , Ivanovna Demicheva Ekaterina , Bolkov Mikhail A. , Tuzankina Irina A. , Chereshnev Valery. A. 
Published: July 2022

Abstract
Background: Congenital neutropenia (CN) is a primary immunodeficiency disease (PID), which is associated with recurrent bacterial infections, autoimmunity, hematological malignancies, and neuropsychiatric symptoms. Understanding the protein-protein interaction (PPI) network of CN genes and finding candidate CN genes is crucial for early CN diagnosis. The purpose of current study was to investigate the PPI network of CN genes and use computational techniques to identify candidate CN genes.Methods: PPI data for CN and PID genes provided from the STRING database were examined using network density and biological distance. Gene expression data of patients with CN were obtained from the Gene Expression Omnibus, and then Pearson’s correlation coefficient, a PPI database, and Kyoto Encyclopedia of Genes and Genomes were used to identify candidate CN genes. We then assessed our hypotheses and discovered CN genes that were differently expressed. Results: Characterization of the majority of CN genes were done by high network density and low biological distance whereas low network density and large biological distance were used to characterize most PID genes. The CN genes are functionally relative to each other compared to PID genes. It showed that they are similar and closely related. Next, we found 15 candidate CN genes with biological functions comparable to known CN genes, and other genes have subsequently been identified as CN-related genes. The SRC gene reported in our study may be a good candidate gene for Heneekem syndrome. The candidate gene “STAT3” was downregulated in peripheral blood neutrophils and B cells in CN patients compared to healthy controls (HC), whereas in blood sample the level was up regulated in CN patients relative to HC. Conclusion: Our findings will contribute in the early diagnosis of CN by providing a better understanding of the CN gene complexity.
Signature of Sinking Streams on Calcarenite Rock Study Using Geophysical and Geochemical Investigation in Ayankulam Area, South Tamilnadu, India
Authors: A Antony Ravindran , A Antony Alosanai Promilton , J Vinoth Kingston , S Richard Abishek , S.K Aswin , R Abinaya 
Published: July 2022

Abstract
Ayankulam is the trending one recently during the 2021 monsoon of India. The legendary well in the village failed to fill despite five days of strong water inflow from the Nambiar canal. District collector arrived and inspected with IIT team and surveyed the village stating that the wells nature was geographically termed to be Karst formation (as per e-news sited in The New Indian Express dated 03/12/2021). There might be some sinking stream that might link this well. Karst topography of calcarenite rocks is the reason for groundwater movement beneath the subsurface for not filling the well. Groundwater is a very important component of water resources in nature. Since the demand for groundwater increases with population growth, it is necessary to explore groundwater more intensively. To determine the existence of usable groundwater for irrigation purposes in the study area Geophysical (Azimuthal square array method and Magnetotelluric method) and Geochemical investigations were done. The Azimuthal Square array method covers 360º coverage of subsurface resulting in fracture orientation of rock to determine the weak/strong zones in different rock types. The Magnetotelluric method scans the subsurface rock and provides information about Geological formation, Weak zone where water oozes out, depth and movement of groundwater. Water samples were collected in and around the “Sinking Stream” origin well and its associated open and tube wells from the study area. The combination of Square Array, MT, Water quality, and quantity study focuses on the Trapped Aquifer system of sinking streams in all water bodies and wells. The movement of groundwater seems to be increasing in Seashore areas such as Uvari and Karikovil are identified relating its water samples from deep bore wells quality and sinking stream water quality. The heavy rainfall and hydrostatic pressure of predominant rock on eroded Calcarenite lime formation create water “Dry fall out” resulting in Sinking streams in the Ayankulam area.