bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Measurement of Sustainable Regional Manufacturing Industry: The Case of China
Authors: Ye Meng , Wang Yaqi , Deng Fumin 
Published: January 2022

Abstract
Since the introduction of Made in China 2025 and its focus on sustainable development and manufacturing industry transformation, appropriate evaluation methods to accurately assess the development of China’s manufacturing industry have become essential. Therefore, this research constructed an innovative evaluation index system for manufacturing development based on seven dimensions: innovation, structural optimization, economic benefits, efficiency enhancements, green development, international competition, and social benefits. An objective combination weighted-gray correlation-TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) evaluation model was applied to the Sichuan Province manufacturing industry data from 2009 to 2018 to create a representative sample, in which the overall development level from 2009 to 2016 took on an inverted U-shaped curve that reached its maximum in 2013, fell to its lowest point in 2016, and then began a steady upward trend marked by innovation and efficiency improvements; however, sustainability fell. Based on these results, this research provides a scientific reference for policy-makers with recommendations for innovation-driven development strategies, green development promotion, and social benefit improvements with the aim of promoting more sustainable development of China's manufacturing industry.
Epidemiologic Disparities in Colon Cancer Screening and Adherence during the COVID-19 Pandemic: A Retrospective Cohort Analysis
Authors: Nwankwo Eugene Chiemeka , Hendrix Christian , Pollard Kelvin , Kallal Chad , Cruschiel Tim , III Frederick Buckhold , Hachem Christine Y 
Published: January 2022

Abstract
Background: Colorectal cancer (CRC) is the second-leading cause of death in the US. Despite the National Colorectal Roundtable goal of achieving 80% adherence, CRC screening remains underutilized, especially in the underinsured populations. Screening programs have been heavily disrupted during the COVID-19 pandemic.
Aim: This research was performed to explore the impact of the pandemic on the existing ethnic and gender disparities prevalent in CRC screening.
Methods: Patients were identified 1 year before and after COVID-19 precautions began, using March 1, 2020, as the inflection point. For each year, the primary inclusion criterion was an ordered colonoscopy. The outcome of interest was a colonoscopy performed. Differences by year and race were assessed using Chi-square analysis. A cohort of 1413 patients between age 45 and 75 for whom a colonoscopy was ordered was selected from EHR at a single large institution. 897 patients were in the pre-COVID group, and 516 were in the post-COVID group.
Results: There was a 51% reduction in screening colonoscopies performed. White patients had a decrease of 49%, and African Americans had a 55% reduction. Stool testing increased from 47% prior to the pandemic to 94% during the pandemic representing a greater than 100% increase in stool testing uptake.
Conclusion: The true impact of COVID-19 on colorectal cancer is yet to be uncovered as future

mortality estimates from CRC are ongoing. Due to the widespread closure of endoscopy centers and delay in screening, we believe that the pandemic worsened the screening disparities most prevalent among minority populations. Our retrospective analysis over the last two years points to the drastic reduction of screening for all races, and especially for African Americans. As life gradually returns to normal, it would be interesting to see how the past year has impacted the incidence and prevalence of CRC.
A Federated Graph Neural Network Framework for Privacy-Preserving Personalization
Authors: Huang Yongfeng , Wu Chuhan , Wu Fangzhao , Lyu Lingjuan , Qi Tao , Xie Xing 
Published: January 2022

Abstract
Graph neural network (GNN) is effective in modeling high-order interactions and has been widely used in various personalized applications such as recommendation. However, mainstream personalization methods rely on centralized GNN learning on global graphs, which have considerable privacy risks due to the privacy-sensitive nature of user data. Here, we present a federated GNN framework named FedGNN for both effective and privacy-preserving personalization. Through a privacy-preserving model update method, we can collaboratively train GNN models based on decentralized graphs inferred from local data. To further exploit graph information beyond local interactions, we introduce a privacy-preserving graph expansion protocol to incorporate high-order information under privacy protection. Experimental results on six datasets for personalization in different scenarios show that FedGNN achieves 4.0%~9.6% lower errors than the state-of-the-art federated personalization methods under good privacy protection. FedGNN provides a novel direction to mining decentralized graph data in a privacy-preserving manner for responsible and intelligent personalization.
Genome-wide Identification, Evolutionary and Functional Analyses of Kfb Family Members in Potato
Authors: Tang Ruimin , Dong Haitao , He Liheng , Li Peng , Shi Yuanrui , Yang Qing , Jia Xiaoyun , Li Xiu-Qing 
Published: January 2022

Abstract
Background: Kelch repeat F-box (KFB) proteins play vital roles in the regulation﻿ of multitudinous biochemical and physiological processes in plants, including growth and development, stress response and secondary metabolism. ﻿Multiple KFBs have been characterized in various plant species, but this family members have not been systematically identified and analyzed in potato. Results: Genome and transcriptome analyses of StKFB gene family were conducted to dissect the structure, evolution and function of the KFBs in Solanum tuberosum L. Totally, 44 StKFB members were identified and were classified into 5 groups according to their structural and phylogenetic features. The chromosomal localization analysis showed that the 44 StKFB genes were located on 12 chromosomes. Among these genes, two pairs of genes (StKFB15/16 and StKFB40/41) were predicted to be tandemly duplicated genes, and one pair of genes (StKFB15/29) was segmentally duplicated genes. The syntenic analysis showed that the KFBs in potato were closely related to the KFBs in tomato and pepper. Expression profiles of StKFBs in 13 different tissues and in potato plants with different treatments uncovered distinct spatial expression patterns of these genes and their potential roles in response to various stresses. Transcriptomic and qRT-PCR analyses of StKFBs ﻿deciphered that multiple StKFB genes were differentially expressed in three colored potato tubers. Genes that were highly expressed in yellow fleshed tubers (Jin-16) and were lowly expressed in the red- (Red Rose-2) or purple-fleshed (Xisen-8) tubers, such as StKFB07, StKFB15, StKFB23, StKFB29 and StKFB44, may negatively regulate anthocyanin biosynthesis.Conclusions: ﻿This study reports the structure, evolution and expression characteristics of the KFB family in potato. These findings set the stage for further study of functional mechanisms of StKFBs, and also provide candidate genes for potato genetic improvement.
A Monolithic Stochastic Computing Architecture for Energy and Area Efficient Arithmetic
Authors: Ravichandran Harikrishnan , Zheng Yikai , Schranghamer Thomas , Trainor Nicholas , Redwing Joan , Das Saptarshi 
Published: January 2022

Abstract
As the energy and hardware investments necessary for conventional high-precision digital computing continues to explode in the emerging era of artificial intelligence, deep learning, and Big-data [1-4], a change in paradigm that can trade precision for energy and resource efficiency is being sought for many computing applications. Stochastic computing (SC) is an attractive alternative since unlike digital computers, which require many logic gates and a high transistor volume to perform basic arithmetic operations such as addition, subtraction, multiplication, sorting etc., SC can implement the same using simple logic gates [5, 6]. While it is possible to accelerate SC using traditional silicon complementary metal oxide semiconductor (CMOS) [7, 8] technology, the need for extensive hardware investment to generate stochastic bits (s-bit), the fundamental computing primitive for SC, makes it less attractive. Memristor [9-11] and spin-based devices [12-15] offer natural randomness but depend on hybrid designs involving CMOS peripherals for accelerating SC, which increases area and energy burden. Here we overcome the limitations of existing and emerging technologies and experimentally demonstrate a standalone SC architecture embedded in memory based on two-dimensional (2D) memtransistors. Our monolithic and non-von Neumann SC architecture consumes a miniscule amount of energy < 1 nano Joules for s-bit generation and to perform arithmetic operations and occupy small hardware footprint highlighting the benefits of SC.
Exciton transport in molecular organic semiconductors boosted by transient quantum delocalization
Authors: Giannini Samuele , Peng Wei-Tao , Cupellini Lorenzo , Padula Daniele , Carof Antoine , Blumberger Jochen 
Published: January 2022

Abstract
Designing molecular materials with very large exciton diffusion lengths would remove some of the intrinsic limitations of present-day organic optoelectronic devices. Yet, the nature of excitons in these materials is still not sufficiently well understood. Here we present Frenkel exciton surface hopping, a highly efficient method to propagate excitons through truly nano-scale materials by solving the time-dependent Schrödinger equation coupled to nuclear motion. We find a clear correlation between diffusion constant and quantum delocalization of the exciton. In materials featuring some of the highest diffusion lengths to date, e.g. the non-fullerene acceptor Y6, the exciton propagates via a transient delocalization mechanism, reminiscent to what was recently proposed for charge transport. Yet, the extent of delocalization is rather modest, even in Y6, and found to be limited by the relatively large exciton reorganization energy. On this basis we chart out a path for rationally improving exciton transport in organic optoelectronic materials.
Evidence for late glacial oceanic carbon redistribution and discharge from the Pacific Southern Ocean
Authors: Iwasaki Shinya , Lembke-Jene Lester , Nagashima Kana , Arz Helge , Harada Naomi , Kimoto Katsunori , Lamy Frank 
Published: January 2022

Abstract
Southern Ocean deep-water circulation plays an important role in the global carbon cycle. On geological time-scales, upwelling along the Chilean continental margin likely contributed to the deglacial atmospheric carbon dioxide rise, but little quantitative evidence exists of carbon storage. Here, we use a new X-ray Micro-Computer-Tomography method to assess foraminiferal test dissolution as proxy for paleo-carbonate ion concentrations ([CO32−]). Our subantarctic Southeast Pacific sediment core depth transect shows significant deep-water [CO32−] variations during the Last Glacial Maximum and Deglaciation (10 – 22 ka BP). We provide evidence for an increase in [CO32−] during the early deglacial period (15-19 ka BP), followed by a ca. 40 µmol kg−1 reduction in Lower Circumpolar Deepwater (CDW). This decreased Pacific to Atlantic export of low-carbon CDW contributed to significantly lowered carbon storage within the Southern Ocean, highlighting the importance of a dynamic Pacific–Southern Ocean deep-water reconfiguration for shaping late-glacial oceanic carbon storage, and subsequent deglacial oceanic-atmospheric CO2 transfer.
Radiosynthesis and Evaluation of Cyclohexyl (5-(2-[11C-Carbonyl]acetamidobenzo[d]thiazol-6-yl)-2-Methylpyridin-3-yl)Carbamate ([11C]PK68) As a New Radioligand For Imaging Receptor-Interacting Protein 1 Kinase
Authors: Yamasaki Tomoteru , Kumata Katsushi , Hiraishi Atsuto , Zhang Yiding , Wakizaka Hidekatsu , Kurihara Yusuke , Nengaki Nobuki , Zhang Ming-Rong 
Published: January 2022

Abstract
Background: Receptor-interacting protein 1 kinase (RIPK1) is a key enzyme in the regulation of cellular necroptosis. Recently, cyclohexyl (5-(2-acetamidobenzo[d]thiazol-6-yl)-2-methylpyridin-3-yl)carbamate (PK68, 5) has been developed as a potent inhibitor of RIPK1. Herein, we radiosynthesized [11C]PK68 as a new positron emission tomography (PET) ligand for imaging RIPK1 and evaluated its potential in vivo.Results: We synthesized [11C]PK68 by reacting amine precursor 14 with [11C]acetyl chloride. At the end of synthesis, we obtained [11C]PK68 of 1200–1790 MBq (n = 10) with >99% radiochemical purity and a molar activity of 37–99 GBq/μmol starting from 18–33 GBq of [11C]CO2. The fully automated synthesis took 30 min from the end of irradiation. In a small-animal PET study, [11C]PK68 was rapidly distributed in the liver and kidneys of healthy mice after injection, and was subsequently cleared from their bodies via hepatobiliary excretion and the intestinal reuptake pathway. Although there was no obvious specific binding of RIPK1 in the PET study, [11C]PK68 demonstrated relatively high stability in vivo, and may be used as a lead compound for further candidate development.Conclusions: In the present study, we successfully radiosynthesized [11C]PK68 and evaluated its potential in vivo. We are planning to optimize the chemical structure of [11C]PK68 and conduct further PET studies on it using pathological models.
High-energy and long-life aluminum−sulfur battery: Employment of electrocatalytic function into continuous multiple reactions within quasi-solid-state electrolyte
Authors: Huang Zheng , Wang Wei , Song Wei-Li , Wang Mingyong , Chen Hao-Sen , Jiao Shuqiang , Fang Daining 
Published: January 2022

Abstract
Aluminum−sulfur (Al−S) batteries of ultrahigh energy-to-price ratios are promising for next-generation energy storage, while they suffer from large charge/discharge voltage hysteresis and short lifespan. Herein, an electrocatalyst-boosting quasi-solid-state Al−S battery is proposed, in which sulfur is anchored on the cobalt/nitrogen co-doped graphene (S@CoNG, as the positive electrode) and chloroaluminate-based ionic liquid (IL) is encapsulated into metal-organic frameworks (IL@MOF, as the quasi-solid-state electrolyte). Mechanistically, the Co−N bonds in CoNG act as electrocatalytic center to continuous induce breaking of Al−Cl bonds and S−S bonds and accelerate the kinetics of sulfur conversion, endowing the Al−S battery with much shortened voltage gap of 0.32 V and 0.98 V in the discharge voltage plateau. Within quasi-solid-state IL@MOF electrolytes, shuttle effect of polysulfides has been inhibited, which stabilizes the process of reversible sulfur conversion. Consequently, the assembled Al−S battery presents high specific capacity of 820 mAh g−1 and 78% capacity retention after 300 cycles. This concept here offers novel insights to design practical Al−S batteries for stable energy storage.
Implementation of Evidence-Based Patient Safety Practices: 4-Years’ Follow-up of a Nationwide Regulatory Intervention in Brazilian Hospitals
Authors: Costa Magda Machado de Miranda , Santana Heiko Thereza , de Carvalho André Anderson , Santos Ana Clara Ribeiro Bello dos , Ribeiro Cleide Felicia de Mesquita , Nogueira Maria Dolores Santos da Purificação , Gama Zenewton André da Silva 
Published: January 2022

Abstract
Background: Regulatory interventions are widely recommended to improve the quality of health services, but there are few studies on the possible models and their effects. The aim of this study is to describe the implementation process and analyse the results of a nationwide regulatory intervention for the implementation of patient safety practices.Methods: Four nationwide annual cross-sectional assessments were conducted in Brazilian hospitals with Intensive Care Unit beds. The participants involved all facilities operating during 2016-2019 (average N=1,989). The regulatory intervention theory aimed to increase adherence to safe evidence-based practices through national annual assessment involving a set of 21 validated structure and process indicators related to patient safety practices. At moment 1(Risk assessment), data were collected to classify hospitals according to the risk. In the sequence, the Sanitary Surveillance Centers (VISAS) carried out the analysis of the information sent by the hospitals. VISAS classified services into three groups according to compliance with the composite adherence indicator: High (67-100%); Medium (34-66%); and Low Compliance (0-33%). Moment 2 (Risk management) used responsive actions according to the hospital’s classification. Results: The intervention resulted in six annual cyclic stages and, between 2016-2019, 782 (40.1%), 980 (49.0%), 1,093 (54.3%) and 1,255 (61.8%) hospitals participated, respectively. 17 of the 20 indicators with at least two measurements had a significant improvement after national interventions (p<0.05). The overall percentage of compliance increased from 70.7 to 84.1 (p<0.001) and the percentage of hospitals with high compliance increased from 59.1 to 83.0 (p<0.001).Conclusion: The regulatory intervention used was a good tool to strengthen the information system and government actions to promote patient safety. The set of low-cost interventions seems to be useful to prioritise hospitals at higher risk and to induce responsive measures to implement patient safety practices in the evaluated context, promoting the efficiency of the regulatory process.
A Novel Mouse Model to Study Fracture Healing of Tibia
Authors: Leng Xiangyang , Wang Jianyu , Zhou Zhenwei , Jia Yuyan , Wei Yuchi , Han Jicheng , Gao Hongwei , Deng Wei , Wang Xukai , Wang Tiancheng , Zhang Jingcheng , Zhong Jinghong , Wu Hailong , Wei Longhao , Yao Baojin 
Published: January 2022

Abstract
Background Delayed union of most tibial fractures due to their special anatomical structures.So an effective animal model is very important to study the mechanism and method of fracture healing.However, due to the small tibia of mice, the operation is difficult, and the surgical model requires high surgical skills. The construction of the fixation model of intramedullary nail for this fracture has improved and simplified the traditional fixation model of intramedullary nail, which not only achieves the purpose of constructing the fracture model, but also makes it more simple and effective.Therefore, the aim of the current study was to develop a new mouse model to study fracture healing of tibia. Methods We chose a combination between an open osteotomy and intramedullary stabilization. The 22G needle was inserted into the fracture end in a closed manner by using an open approach for osteotomy at the middle and lower 1/3 level of the tibia.Fractured tibia were analyzed using microcomputed tomography and histology at days 7,14,21and 28after surgery. All animals displayed normal limb loading and a physio-logical gait pattern within the first three days after fracture. No animals were lost due to surgery or anesthesia. Results X-ray confirmed that the fracture types obtained by the fracture modeling method were transverse fractures. X-ray, Micro-CT, immunohistochemistry, histological staining and Real-time PCR showed that the fracture healing of mice was typical endochondral ossification, with high repeatability. Conclusion The mouse tibial fracture model established by intramedullary nailing is safe, rapid and simple. Its fracture healing is a typical intrachondral ossification with high repeatability, which can be better used for the study of molecular mechanism and clinical transformation of fracture healing and bone metabolism.
Correlation of Mismatch Repair Deficiency with Clinicopathological Features and Programmed Death-Ligand 1 Expression in Thyroid Carcinoma
Authors: Chen Xiao-Ping , Qiao Pei-pei , Tian Kai-Sai , Han Li-Tao , Ben Ma , Shen Cen-Kai , Zhao Run-Yu , Zhang Yi , Wei Wenjun 
Published: January 2022

Abstract
Background

Mutations in DNA mismatch repair (MMR) genes associated with thyroid carcinoma (TC) have rarely been reported, especially in East Asian populations.
Methods

We examined tumor tissue from a cohort of 241 patients diagnosed with TC between 2008 and 2020. MMR proteins were detected using tissue microarray-based immunohistochemistry in order to identify MMR-protein-deficient (MMR-D) and MMR-protein-intact (MMR-I) tumors. We retrospectively summarized the clinicopathologic characteristics of patients with MMR-D TC, measured the expression of PD-L1, and recorded overall survival (OS) and other clinical outcomes.
Results

In our cohort, there were 18 (7.5%) MMR-D (MLH1, MSH2, MSH6, and PMS2) patients, including 12 with papillary TC (PTC) (6.7%), 2 with poorly differentiated TC (PDTC) (4.7%), and 4 with anaplastic TC (ATC) (22.2%). Half of them (9/18) showed a specific deletion in MSH6, and 6 of them also carried variants in the MSH6 and PMS2 gene. Survival was significantly better in patients with MMR-D ATC than in those with MMR-I tumors (p=0.033). Four of the 18 MMR-D patients (22%) were found to be PD-L1 positive. Their OS was much shorter than that of PD-L1-negative patients.
Conclusions

MMR-D and PD-L1 positivity appear to be associated with clinicopathological characteristics and prognosis in TC. The results indicate that MMR status may have important prognostic significance in TC. Therefore, immune checkpoint inhibitors that target the PD-1/PD-L1 pathway may be a treatment option for TCs.
Seismic Evidence of Pop-up Tectonics Beneath the Shillong Plateau Area of Northeast India
Authors: Singh A. P. , Mishra O. P. , Singh O. P. 
Published: January 2022

Abstract
Our detailed analysis of high-quality arrival time data recorded by the local seismographic network using three-dimensional seismic tomography of the Shillong Plateau region using high-quality arrival times of the body wave phases recorded at a dense temporary seismic network. This technique is used to understand the heterogeneities of the crust and its implications for pop-up tectonics characterizing evaluation the of the Shillong Plateau. We investigated an area covering ~150 ×100 km2 that revealed seismicity to be confined in a depth range ≤ 60 km. High - velocity anomalies in the upper crust appear to be responsible for intense small to moderate seismic activity in the region. Crustal seismic velocities inferred from 3-D seismic tomography showed significant lateral heterogeneities beneath the lithosphere of the Shillong Plateau. High-velocity anomalies in the uppermost crust, interpreted as the Shillong Plateau act as a geometric asperity where interseismic strain may accumulate. Low-velocity anomalies in the lower crust probably play a major role to accommodating the stresses generated due to plate separation, culminating in future sources of great earthquakes. The geological faults are well imaged in the cross-sections and support the concept of Pop-up tectonics beneath the Shillong of NE India.