bluuebunny/crossref_metadata_2025 huggingface dataset:
Data analytics for cybersecurity enhancement of transformer protection
Authors: Jahromi Martiya Zare , Jahromi Amir Abiri , Kundur Deepa , Sanner Scott , Kassouf Marthe
Published: January 2022

Electric power substations are experiencing an accelerated pace of digital transformation including the deployment of LAN-based IEC 61850 communication protocols that facilitate accessibility to substation data while also increasing remote access points and exposure to complex cyberattacks. In this environment, machine learning algorithms will play a vital role in cyberattack detection and mitigation and natural questions arise as to the most effective models in the context of smart grid substations. This paper compares the performance of three autoencoder-based anomaly detection systems including linear, fully connected, and convolutional autoencoders, as well as long short-term memory (LSTM) neural network for cybersecurity enhancement of transformer protection. The simulation results indicated that the LSTM model outperforms the other models for detecting cyberattacks targeting asymmetrical fault data. The linear autoencoder, fully connected autoencoder and 1D CNN further outperform the LSTM model for detecting cyberattacks targeting the symmetrical fault data.
The next stage of green electricity labeling
Authors: Sedlmeir Johannes , Völter Fabiane , Strüker Jens
Published: January 2022

The labeling of electricity is considered an important mechanism to differentiate renewable power generation and, thus, to incentivize the expansion of green energy. However, today's systems for documenting and trading green energy certificates suffer from multiple challenges. These could be addressed by a digital solution that holistically collects and processes production and consumption data. Blockchain-based architectures have repeatedly been suggested for this purpose since they can provide transparency and can likely be accepted by a broad group of stakeholders. Yet, there are significant scalability and privacy issues of a blockchain-based approach for storing and processing fine-grained production and consumption data. In this paper, we propose and discuss a potential solution that levers succinct cryptographic zero-knowledge proofs to balance the required level of transparency and privacy while at the same time providing a high degree of scalability.
Communication—Enhanced Dielectric Constant of Polymer Composites via Regulating Thermal Reduction Treatment Time of Graphene Oxide
Authors: Liu Hui , Ma Lili , Yan Yichao , Lei Qingquan , Xin Meng
Published: January 2022

The addition of graphene can change the distribution of conductive pathways in the polymer composites and further affect the dielectric properties. In this work, a facile and environmentally friendly method was proposed to enhance dielectric properties by manipulating the reduction extent of reduced graphene oxide (RGO) in polyvinylidene fluoride (PVDF) matrix just through altering the thermal reduction treatment time. Measurement results showed that the electrical percolation occurred as thermal reduction treatment time increased and the conduction mechanism changed into approximate free electron model. RGO/PVDF composites with tailorable dielectric properties were realized with a low filler loading level.
Silencing MR-1 Protects against Myocardial Injury Induced by Chronic Intermittent Hypoxia by Targeting Nrf2 through Antioxidant Stress and Anti-Inflammation Pathways
Authors: Wang Qixue , Wang Yue , Zhang Jiner , Pan Shuo , Liu Shaofeng
Published: January 2022

Background. Patients with obstructive sleep apnea hypopnea syndrome (OSAHS) often have cardiac insufficiency mainly due to hypoxia/reperfusion injury caused by chronic intermittent hypoxia (CIH). Inflammation and oxidative stress are involved in the cardiovascular events of OSAHS patients. Studies have found that myofibrillation regulator-1 (MR-1) participates in the pathological process of OSAHS-induced myocardial injury, but the specific mechanism is still unclear. Methods. We used a CIH-induced rat model to simulate the process of OSAHS disease. Indices of myocardial injury, inflammation, and oxidative stress were detected using quantitative PCR and enzyme-linked immunosorbent assay (ELISA). After administration of adenoassociated viral vector (AAV) encoding silencing RNA against MR-1, we examined expression of the classic antioxidant stress pathway protein NF-E2-related factor 2 (Nrf2) using western blotting. Results. We found that levels of serum inflammatory factors tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, and IL-8 were increased, and we further observed disturbance of the oxidative stress system, in which the content of reactive oxygen species (ROS), superoxide dismutase (SOD), reduced glutathione (GSH), and malondialdehyde (MDA) was enhanced in CIH-induced rats. Subsequently, we detected that expression of Nrf2 and heme oxygenase-1 (HO-1) was slightly increased, while the expression of Kelch-like ECH-associated protein 1 (Keap-1) was significantly increased in the CIH model. Interestingly, after administration of silencing MR-1 AAV, the elevated levels of inflammatory factors were reduced, and the disordered oxidative stress system was corrected. Additionally, the expression of Nrf2 and HO-1 was distinctly increased, but the high expression of Keap-1 was decreased. Conclusions. Our research results demonstrate that silencing MR-1 rescued the myocardium the injury from inflammatory and oxidative stress in CIH-induced rats by administration of the Nrf2 signaling pathway.
Synthesis and Characterization of Feed-Grade Monocalcium Phosphate Ca(H2PO4)2·H2O from Oyster Shell
Authors: Nguyen Quang Bac , Ta Hong Duc
Published: January 2022

Oyster shells are considered as a byproduct or solid waste in mariculture or related food processing areas that face a major disposal problem at the landfill in coastal regions for sustainable development. Oyster shell is composed mostly of CaCO3, and it is also considered as a secondary source of calcium for various applications. In this paper, we extracted the calcium carbonate from oyster shell and used it as the source of calcium for the preparation of feed-grade monocalcium phosphate (MCP). The investigation shows that the heavy metal contents in oyster shells as well as in the synthesized MCP are extremely low, and the synthesized product meets the requirements for the European Union (EU) maximum limits applied for feed additives. The XRD, TG, and IR data analyses confirmed that the synthesized product is monocalcium phosphate.
Association Mining of Near Misses in Hydropower Engineering Construction Based on Convolutional Neural Network Text Classification
Authors: Chen Shu , Xi Junbo , Chen Yun , Zhao Jinfan
Published: January 2022

Accidents of various types in the construction of hydropower engineering projects occur frequently, which leads to significant numbers of casualties and economic losses. Identifying and eliminating near misses are a significant means of preventing accidents. Mining near-miss data can provide valuable information on how to mitigate and control hazards. However, most of the data generated in the construction of hydropower engineering projects are semi-structured text data without unified standard expression, so data association analysis is time-consuming and labor-intensive. Thus, an artificial intelligence (AI) automatic classification method based on a convolutional neural network (CNN) is adopted to obtain structured data on near-miss locations and near-miss types from safety records. The apriori algorithm is used to further mine the associations between “locations” and “types” by scanning structured data. The association results are visualized using a network diagram. A Sankey diagram is used to reveal the information flow of near-miss specific objects using the “location ⟶ type” strong association rule. The proposed method combines text classification, association rules, and the Sankey diagrams and provides a novel approach for mining semi-structured text. Moreover, the method is proven to be useful and efficient for exploring near-miss distribution laws in hydropower engineering construction to reduce the possibility of accidents and efficiently improve the safety level of hydropower engineering construction sites.
Energy Efficiency Analysis of e-Commerce Customer Management System Based on Mobile Edge Computing
Authors: Chen Wenxing , Yang Bin
Published: January 2022

Energy efficiency optimization of mobile edge computing e-commerce clients and reasonable management of server computing resources are worth further study. The participant of the algorithm game model proposed in this paper is mobile e-commerce customer management. The decision space is a two-dimensional space composed of unloading decision and power control, and the benefit function is the energy efficiency function and delay function. The existence and uniqueness of the multidimensional game model are proved theoretically. The simulation results show that the proposed multidimensional game based energy efficiency optimization algorithm of mobile edge computing can reduce the energy consumption and delay of mobile terminals and improve the energy efficiency of unloading calculation under the same task compared with the game scheme without considering power consumption control when the number of e-commerce customer management is larger. This paper deduces the optimal load migration decision of mobile e-commerce customer management and the optimal pricing strategy of mobile edge cloud service providers and proves that the optimal decision and optimal pricing constitute the Starkberg equilibrium. The semidistributed and decentralized task transfer decision-making mechanisms are designed, respectively, and the management decision-making behaviors of mobile e-commerce customers in the mobile edge cloud energy trading market are studied by numerical analysis, as well as the time efficiency of the two mechanisms.
Application of Deep Learning in Lung Cancer Imaging Diagnosis
Authors: Jiang Wenfa , Zeng Ganhua , Wang Shuo , Wu Xiaofeng , Xu Chenyang
Published: January 2022

Lung cancer is one of the malignant tumors with the highest fatality rate and nearest to our lives. It poses a great threat to human health and it mainly occurs in smokers. In our country, with the acceleration of industrialization, environmental pollution, and population aging, the cancer burden of lung cancer is increasing day by day. In the diagnosis of lung cancer, Computed Tomography (CT) images are a fairly common visualization tool. CT images visualize all tissues based on the absorption of X-rays. The diseased parts of the lung are collectively referred to as pulmonary nodules, the shape of nodules is different, and the risk of cancer will vary with the shape of nodules. Computer-aided diagnosis (CAD) is a very suitable method to solve this problem because the computer vision model can quickly scan every part of the CT image of the same quality for analysis and will not be affected by fatigue and emotion. The latest advances in deep learning enable computer vision models to help doctors diagnose various diseases, and in some cases, models have shown greater competitiveness than doctors. Based on the opportunity of technological development, the application of computer vision in medical imaging diagnosis of diseases has important research significance and value. In this paper, we have used a deep learning-based model on CT images of lung cancer and verified its effectiveness in the timely and accurate prediction of lungs disease. The proposed model has three parts: (i) detection of lung nodules, (ii) False Positive Reduction of the detected nodules to filter out “false nodules,” and (iii) classification of benign and malignant lung nodules. Furthermore, different network structures and loss functions were designed and realized at different stages. Additionally, to fine-tune the proposed deep learning-based mode and improve its accuracy in the detection Lung Nodule Detection, Noudule-Net, which is a detection network structure that combines U-Net and RPN, is proposed. Experimental observations have verified that the proposed scheme has exceptionally improved the expected accuracy and precision ratio of the underlined disease.
Exploring for Route Preferences of Subway Passengers Using Smart Card and Train Log Data
Authors: Lee Eun Hak , Kim Kyoungtae , Kho Seung-Young , Kim Dong-Kyu , Cho Shin-Hyung
Published: January 2022

As the mode share of the subway in Seoul has increased, the estimation of passenger travel routes has become a crucial issue to identify the congestion sections in the subway network. This paper aims to estimate the travel train of subway passengers in Seoul. The alternative routes are generated based on the train log data. The travel route is then estimated by the empirical cumulative distribution functions (ECDFs) of access time, egress time, and transfer time. The train choice probability is estimated for alternative train combinations and the train combination with the highest probability is assigned to the subway passenger. The estimated result is validated using the transfer gate data which are recorded on private subway lines. The result showed that the accuracy of the estimated travel train is shown to be 95.6%. The choice ratios for no-transfer, one-transfer, two-transfer, three-transfer, and four-transfer trips are estimated to be 53.9%, 37.7%, 6.5%, 1.5%, and 0.4%, respectively. Regarding the practical application, the passenger kilometers by lines are estimated with the travel route estimation of the whole network. As results of the passenger kilometer calculation, the passenger kilometer of the proposed algorithm is estimated to be 88,314 million passenger kilometer. The proposed algorithm estimates the passenger kilometer about 13% higher than the shortest path algorithm. This result implies that the passengers do not always prefer the shortest path and detour about 13% for their convenience.
Dynamic Evolution of Service Trade Network Structure and Influence Mechanism in Countries along the “Belt and Road” with Big Data Analysis
Authors: Liu Yang , Tsai Sang-Bing
Published: January 2022

With the accelerating process of economic globalization, the deep adjustment of the international industrial division of labor, and the continuous upgrading of the global value chain, the development of the service industry has entered into a new historical period. This study analyzes the dynamic evolution of trade network structure at three levels: macro, mesa, and micro, and empirically explores its influencing factors. Taking national service trade as the research object, this study analyzes the topological structural characteristics of the food trade network of “One Belt and One Road” countries by selecting indicators such as network point degree, average path length, trade intensity, intermediation degree, and aggregation coefficient, and further explores the characteristics of association network structure in national service trade network using block model. The topological structural characteristics of the “Belt and Road” trade network are analyzed from three aspects: overall, local, and individual. Then, we construct a regression model to analyze the factors influencing the dynamic evolution of the service trade network structure of the countries along the “Belt and Road” through the QAP method. Finally, based on the summary of the research findings, this study puts forward the corresponding considerations and policy recommendations from the perspectives of regional, directional, and reciprocal investment, to benefit more efficient and strategic national service trade under the framework of “Belt and Road.” Based on the results of this study, this study proposes the following policy recommendations: firstly, actively promote the service trade cooperation with other countries to optimize the market layout; secondly, promote the service industry reform to extend the length of the value chain and improve its position in the value chain; and thirdly, jointly promote the infrastructure construction of “Belt and Road” with other countries, promote trade liberalization, and reduce the trade volume. Secondly, we should promote the reform of the service industry, extend the length of the value chain, and improve our position in the value chain. Finally, we should vigorously promote the development of innovation, promote the two-way opening of new service industries, adhere to the “going out” strategy, and cultivate high-quality and excellent technical talents, to promote the overall improvement of the innovation-driven capacity of the service industry with a people-oriented approach.
Predictive and Therapeutic Implications of a Novel PLCγ1/SHP2-Driven Mechanism of Cetuximab Resistance in Metastatic Colorectal Cancer
Authors: Cruz-Duarte Raquel , Rebelo de Almeida Cátia , Negrão Magda , Fernandes Afonso , Borralho Paula , Sobral Daniel , Gallego-Paez Lina M. , Machado Daniel , Gramaça João , Vílchez José , Xavier Ana T. , Ferreira Miguel Godinho , Miranda Ana R. , Mansinho Helder , Brito Maria J. , Pacheco Teresa R. , Abreu Catarina , Lucia-Costa Ana , Mansinho André , Fior Rita , Costa Luís , Martins Marta
Published: January 2022

Purpose:

Cetuximab is an EGFR-targeted therapy approved for the treatment of RAS wild-type (WT) metastatic colorectal cancer (mCRC). However, about 60% of these patients show innate resistance to cetuximab. To increase cetuximab efficacy, it is crucial to successfully identify responder patients, as well as to develop new therapeutic approaches to overcome cetuximab resistance.

Experimental Design:

We evaluated the value of EGFR effector phospholipase C gamma 1 (PLCγ1) in predicting cetuximab responses, by analyzing progression-free survival (PFS) of a multicentric retrospective cohort of 94 treated patients with mCRC (log-rank test and Cox regression model). Furthermore, we used in vitro and zebrafish xenotransplant models to identify and target the mechanism behind PLCγ1-mediated resistance to cetuximab.

Results:

In this study, levels of PLCγ1 were found increased in RAS WT tumors and were able to predict cetuximab responses in clinical samples and in vitro and in vivo models. Mechanistically, PLCγ1 expression was found to bypass cetuximab-dependent EGFR inhibition by activating ERK and AKT pathways. This novel resistance mechanism involves a noncatalytic role of PLCγ1 SH2 tandem domains in the propagation of downstream signaling via SH2-containing protein tyrosine phosphatase 2 (SHP2). Accordingly, SHP2 inhibition sensitizes PLCγ1-resistant cells to cetuximab.

Conclusions:

Our discoveries reveal the potential of PLCγ1 as a predictive biomarker for cetuximab responses and suggest an alternative therapeutic approach to circumvent PLCγ1-mediated resistance to cetuximab in patients with RAS WT mCRC. In this way, this work contributes to the development of novel strategies in the medical management and treatment of patients with mCRC.
Circulating CD137+ T Cells Correlate with Improved Response to Anti-PD1 Immunotherapy in Patients with Cancer
Authors: Zizzari Ilaria Grazia , Di Filippo Alessandra , Botticelli Andrea , Strigari Lidia , Pernazza Angelina , Rullo Emma , Pignataro Maria Gemma , Ugolini Alessio , Scirocchi Fabio , Di Pietro Francesca Romana , Rossi Ernesto , Gelibter Alain , Schinzari Giovanni , D'Amati Giulia , Rughetti Aurelia , Marchetti Paolo , Nuti Marianna , Napoletano Chiara
Published: January 2022

Purpose:

CD137 molecule is expressed by activated lymphocytes, and in patients with cancer identifies the tumor-reactive T cells. In solid tumors, high levels of circulating CD137+ T cells are associated with the clinical response and the disease-free status. Here, we examined the role of the CD137+ T cells in the improvement of patients' selection for immunotherapy treatment.

Experimental Design:

Peripheral blood mononuclear cells derived from 109 patients with metastatic cancer (66 patients for the identification cohort and 43 for the validation cohort) were analyzed for the expression of CD3, CD4, CD8, CD137, and PD1 molecules before the beginning of anti-PD1 therapy. Twenty healthy donors were used as control. The soluble form of CD137 (sCD137) was also analyzed. The CD137+ T cell subsets and the sCD137 were correlated with the clinicopathologic characteristics. The distribution of CD137+ T cells was also examined in different tumor settings.

Results:

The percentage of CD137+ T cells was higher in healthy donors and in those patients with a better clinical status (performance status = 0–1, n°metastasis≤2) and these high levels were ascribed to the CD8+CD137+ T cell population. The high frequency of CD137+ and CD8+CD137+ T cells resulted as a prognostic factor of overall survival (OS) and progression-free survival (PFS), respectively, and were confirmed in the validation cohort. High levels of CD3+CD137+PD1+ lymphocytes were associated with a low number of metastasis and longer survival. Instead, the high concentration of the immunosuppressive sCD137 in the serum is associated with a lower PFS and OS. In tumor bed, patients with a complete response showed a high percentage of CD137+ and CD8+ T cells.

Conclusions:

We propose the CD137+ T subset as an immune biomarker to define the wellness status of the immune system for successful anticancer immunotherapy.
Anti-CD79B Antibody–Drug Conjugate DCDS0780A in Patients with B-Cell Non-Hodgkin Lymphoma: Phase 1 Dose-Escalation Study
Authors: Herrera Alex F. , Patel Manish R. , Burke John M. , Advani Ranjana , Cheson Bruce D. , Sharman Jeff P. , Penuel Elicia , Polson Andrew G. , Liao Chen Di , Li Chunze , Schuth Eva , Vaze Anjali , Samineni Divya , Elstrom Rebecca , Cooper James , Diefenbach Catherine
Published: January 2022

Purpose:

Targeting CD79B using antibody–drug conjugates (ADC) is an effective therapeutic strategy in B-cell non-Hodgkin lymphoma (B-NHL). We investigated DCDS0780A, an anti-CD79B ADC with THIOMAB technology (TDC) that consistently conjugates two anti-neoplastic molecules per antibody, in contrast with ADCs with heterogeneous loads.

Patients and Methods:

This phase 1 study enrolled 60 patients with histologically confirmed B-NHL that had relapsed/failed to respond following ≥1 prior treatment regimens; 41 (68%) had diffuse large B-cell lymphoma (DLBCL). Fifty-one patients received DCDS0780A monotherapy once every 3 weeks (0.3–4.8 mg/kg); 9 received combination therapy (3.6–4.8 mg/kg) with rituximab.

Results:

Fifty-four (90%) patients experienced adverse events related to study drug, the most common of which were blurred vision, fatigue, corneal deposits, neutropenia, nausea, and peripheral neuropathy. 4.8 mg/kg was the highest dose tested and the recommended phase II dose. The pharmacokinetic profile was linear at doses ≥1.2 mg/kg. Response rate in all-treated patients (N = 60) was 47% (n = 28), including 17 complete responses (28%) and 11 partial responses (18%). The median duration of response (15.2 months) was the same for all responders (n = 28) and patients with DLBCL (n = 20).

Conclusions:

DCDS0780A as the TDC format for CD79B was tested at higher doses than its ADC counterpart investigated earlier, leading to deep responses. However, dose intensity was limited by ocular toxicities seen at the higher doses indicating that the TDC format was unable, in the current study, to expand the therapeutic index for the CD79B target. The encouraging antitumor activity advocates continuation of investigations into novel ADC technologies.
GFI1 Cooperates with IKZF1/IKAROS to Activate Gene Expression in T-cell Acute Lymphoblastic Leukemia
Authors: Sun Wenxiang , Guo Jingtao , McClellan David , Poeschla Alexandra , Bareyan Diana , Casey Mattie J. , Cairns Bradley R. , Tantin Dean , Engel Michael E.
Published: January 2022

Growth factor independence-1 (GFI1) is a transcriptional repressor and master regulator of normal and malignant hematopoiesis. Repression by GFI1 is attributable to recruitment of LSD1-containing protein complexes via its SNAG domain. However, the full complement of GFI1 partners in transcriptional control is not known. We show that in T–acute lymphoblastic leukemia (ALL) cells, GFI1 and IKAROS are transcriptional partners that co-occupy regulatory regions of hallmark T-cell development genes. Transcriptional profiling reveals a subset of genes directly transactivated through the GFI1—IKAROS partnership. Among these is NOTCH3, a key factor in T-ALL pathogenesis. Surprisingly, NOTCH3 expression by GFI1 and IKAROS requires the GFI1 SNAG domain but occurs independent of SNAG—LSD1 binding. GFI1 variants deficient in LSD1 binding fail to activate NOTCH3, but conversely, small molecules that disrupt the SNAG—LSD1 interaction while leaving the SNAG primary structure intact stimulate NOTCH3 expression. These results identify a noncanonical transcriptional control mechanism in T-ALL which supports GFI1-mediated transactivation in partnership with IKAROS and suggest competition between LSD1-containing repressive complexes and others favoring transactivation.

Implications:

Combinatorial diversity and cooperation between DNA binding proteins and complexes assembled by them can direct context-dependent transcriptional outputs to control cell fate and may offer new insights for therapeutic targeting in cancer.
DNA-PK Inhibitor Peposertib Amplifies Radiation-Induced Inflammatory Micronucleation and Enhances TGFβ/PD-L1 Targeted Cancer Immunotherapy
Authors: Carr Michael I. , Chiu Li-Ya , Guo Yige , Xu Chunxiao , Lazorchak Adam S. , Yu Huakui , Qin Guozhong , Qi Jin , Marelli Bo , Lan Yan , Sun Qing , Czauderna Frank , Zenke Frank T. , Blaukat Andree , Vassilev Lyubomir T.
Published: January 2022

Radiotherapy is the most widely used cancer treatment and improvements in its efficacy and safety are highly sought-after. Peposertib (also known as M3814), a potent and selective DNA-dependent protein kinase (DNA-PK) inhibitor, effectively suppresses the repair of radiation-induced DNA double-strand breaks (DSB) and regresses human xenograft tumors in preclinical models. Irradiated cancer cells devoid of p53 activity are especially sensitive to the DNA-PK inhibitor, as they lose a key cell-cycle checkpoint circuit and enter mitosis with unrepaired DSBs, leading to catastrophic consequences. Here, we show that inhibiting the repair of DSBs induced by ionizing radiation with peposertib offers a powerful new way for improving radiotherapy by simultaneously enhancing cancer cell killing and response to a bifunctional TGFβ “trap”/anti-PD-L1 cancer immunotherapy. By promoting chromosome misalignment and missegregation in p53-deficient cancer cells with unrepaired DSBs, DNA-PK inhibitor accelerated micronuclei formation, a key generator of cytosolic DNA and activator of cGAS/STING-dependent inflammatory signaling as it elevated PD-L1 expression in irradiated cancer cells. Triple combination of radiation, peposertib, and bintrafusp alfa, a fusion protein simultaneously inhibiting the profibrotic TGFβ and immunosuppressive PD-L1 pathways was superior to dual combinations and suggested a novel approach to more efficacious radioimmunotherapy of cancer.

Implications:

Selective inhibition of DNA-PK in irradiated cancer cells enhances inflammatory signaling and activity of dual TGFβ/PD-L1 targeted therapy and may offer a more efficacious combination option for the treatment of locally advanced solid tumors.
The Association between TREM2 Gene and Late-Onset Alzheimer’s Disease in Chinese Han Population
Authors: Sun Yan , Zhang Yun-Ke , Chen Hai , Chen Ren-Shou
Published: January 2022

Objective: : The objective of this study was to evaluate the impact of single nucleotide polymorphisms (SNPs) in triggering receptor expressed on the myeloid cells 2 protein (TREM2) gene and their interaction with environmental factors and haplotypes on late-onset Alzheimer’s disease (LOAD). Methods: DNA was extracted from the whole blood of the participants and genotyped using PCR and followed by restriction fragment length polymorphism. The Hardy-Weinberg equilibrium test was used in the control group. Multivariate logistic regression analysis was used to determine the relationship between the 4 SNPs of the TREM2 gene and the risk of LOAD. Generalized multifactor dimensionality reduction was used to test the best interaction combination between SNPs and environmental factors. Results: Logistic regression analysis showed that the T allele of rs75932628 and the T allele of rs2234253 were independently associated with increased risk of LOAD, and adjusted odds ratios (ORs) were 1.81 (1.271–2.35) and 1.59 (1.15–2.03), respectively. However, there was no significant association with LOAD for rs142232675 and rs143332484. We found a best model significantly associated with LOAD risk that consisted of rs75932628 and smoking, which scored 10/10 for both the sign test and cross-validation consistency (p = 0.012). Stratified analysis indicated that current smokers with rs75932628-CT/TT genotype have the highest LOAD risk compared to never smokers with rs75932628 – CC genotype, OR (95% confidence interval) = 2.73 (1.72–3.79). Haplotypes of rs75932628 and rs2234253 were analyzed using the SHEsis online software. However, no haplotype was found to be significantly associated with the risk of LOAD. Conclusions: The T allele of rs75932628 and the T allele of rs2234253 and interaction between rs75932628 and smoking were all correlated with increased risk of LOAD.
Nanoelicitors Application Promote Antioxidant Capacity of Asparagus officinalis (In Vitro)
Authors:   Plant Science Department, Amino Techno Gene Private Virtual Lab (NGO), Mohammadhassan Reza , Ferdosi Annahid , Malmir Shiva ,   Plant Science Department, Amino Techno Gene Private Virtual Lab (NGO), Marcus Seifalian Alexander ,   Nanotechnology and Regenerative Medicine Commercialization Centre, the London Bioscience Innovation Centre, Seifalian Maral ,   Medicinal Science Department, Amino Techno Gene Private Virtual Lab (NGO)
Published: January 2022

Nanoparticles recently play remarkable roles in modern agriculture and biotechnology due to specific exclusively physicochemical and biological characteristics of the particles. In recent years, nanoparticles are been using as fertilizers and elicitors to improve crops. Nutritionists are constantly seeking natural antioxidants without side effects to using for healthcare and treatment. Asparagus officinalis L. as medicinal plant treated by iron (0, 10, 50 and 100 mg/L) and selenium (0, 0.5,and 1 mg/L) nanoparticles as nano elicitors. Then the antioxidant capacity of A. officinalis L. was detected and measured by Î±, Î±-diphenyl-Î²-picrylhydrazyl (DPPH) assay, for assessment of the antioxidant activity. The iron nanoparticlesconcentration significantly increases the antioxidant activity of both male and female asparagus stem, as well as selenium nanoparticles. When combined iron and selenium used as nano elicitors then cause the antioxidant activity significantly decreases. But the integration of two nano elicitors (iron and selenium) decreased antioxidant capacity while the use of nano-selenium could enhance antioxidant capacity. The application of nano elicitor increased antioxidant capacity in the female stem than male.Nanoparticles recently play remarkable roles in modern agriculture and biotechnology due to specific exclusively physicochemical and biological characteristics of the particles. In recent years, nanoparticles are been using as fertilizers and elicitors to improve crops. Nutritionists are constantly seeking natural antioxidants without side effects to using for healthcare and treatment. Asparagus officinalis L. as medicinal plant treated by iron (0, 10, 50 and 100 mg/L) and selenium (0, 0.5,and 1 mg/L) nanoparticles as nano elicitors. Then the antioxidant capacity of A. officinalis L. was detected and measured by Î±, Î±-diphenyl-Î²-picrylhydrazyl (DPPH) assay, for assessment of the antioxidant activity. The iron nanoparticlesconcentration significantly increases the antioxidant activity of both male and female asparagus stem, as well as selenium nanoparticles. When combined iron and selenium used as nano elicitors then cause the antioxidant activity significantly decreases. But the integration of two nano elicitors (iron and selenium) decreased antioxidant capacity while the use of nano-selenium could enhance antioxidant capacity. The application of nano elicitor increased antioxidant capacity in the female stem than male.
Secondary Metabolite Ceiba pentandra Gaertn. as Biological Control to Canker Disease on Dragon Fruit
Authors:   Department of Plant Protection, University of Jember, Jember 68121, Indonesia, Masnillah Rachmi , Budi Ival ,   Department of Plant Protection, University of Jember, Jember 68121, Indonesia, Pradana Ankardiansyah ,   Department of Plant Protection, University of Jember, Jember 68121, Indonesia, Alfarisy Faris ,   Department of Plant Protection, University of Jember, Jember 68121, Indonesia
Published: January 2022

Canker diseases caused by Neoscytalidium dimidiatum are a serious threat for dragon fruit production.Â Comprehensive and environmentally friendly control efforts are needed to reduce yield losses due to this disease. Cottonwood (Ceiba pentandra) is one of the plants that contain complex phytochemicals that can control phyto-pathogens. This study aimed to examine the potential of secondary metabolites produced from the leaves and bark of the C. pentandara as botanical fungicides. Parts of dragon fruit that are attacked by canker are isolated on Potatoes Dextrose Agar media. Observation of conidia and fungal spores using a binocular microscope with a magnification of 100Ã—. The hyphal form of the N. dimidiatum is rectangular and clear. As botanical fungicides, the leaves and the bark of the C. pentandara are dried for 14 days. The extract solution then analyzed for itâ€™s secondary metabolites. The results of the qualitative analysis showed that each leaf extract and bark (+) compound of flavonoids, alkaloids, tannins, and saponins. The quantitative results of secondary metabolites detected 304.3 mg.kg-1, Flavonoids and Tannins of 1.6 mg.kg-1. Secondary metabolites obtained were tested on the fungus N. dimidiatum with inhibitory parameters in vitro and in vivo. This study followed a factorial completely randomized design consisting of concentration factors and types of extract parts. The data obtained were then analyzed by ANOVA and significant treatments were further tested by Duncan Multiple Range Test (DMRT) at Î± = 5%. The combination treatment with a concentration of 40 mg ml-1 is more effective in controlling canker in indicators of inhibitory, the extent of the attack, and intensity of disease severity.
Integração entre os sistemas nacionais de informação em saúde: o caso do e-SUS Atenção Básica
Authors: Coelho Neto Giliate Cardoso , Andreazza Rosemarie , Chioro Arthur
Published: January 2022

OBJETIVO: Medir o grau de integração do Prontuário Eletrônico do Cidadão (PEC) da Estratégia e-SUS Atenção Básica (e-SUS AB) com outros Sistemas Nacionais de Informação em Saúde (SNIS), o relacionando à estrutura político-organizacional interna do Ministério da Saúde (MS). MÉTODOS: Trata-se de um estudo de caso de caráter qualitativo. A coleta de dados foi realizada através de análise documental e entrevistas semiestruturadas. Na primeira etapa buscou-se esclarecer quantos SNIS estiveram em uso na Atenção Básica do Sistema Único de Saúde entre 2013 e 2017. Em seguida, para medir a integração, foi aplicado como critério a manutenção das interfaces de captação de dados pelo Ministério da Saúde, mesmo após a implantação do PEC/e-SUS AB. RESULTADOS: Foram identificados 31 SNIS na Atenção Básica. Observou-se que 12 deles foram completamente integrados e em 15 não houve nenhuma unificação de interfaces com o PEC/e-SUS AB. Outros 4 tiverem integração parcial. Ao correlacionar esses dados com a estrutura político-organizacional do MS, verificou-se uma maior integração com os sistemas geridos pelo Departamento de Atenção Básica e uma persistência da fragmentação com os SNIS, especialmente aqueles sob gestão da Secretaria de Vigilância em Saúde. A disparidade entre a integração do PEC/e-SUS AB com os SNIS da Vigilância em Saúde é um sinal da persistência da divisão e da falsa dicotomia entre práticas e processos de Assistência à Saúde e Vigilância em Saúde no Ministério da Saúde – mesmo após 30 anos da fundação do SUS e unificação das estruturas estatais da assistência hospitalar previdenciária e da saúde pública federal no MS. CONCLUSÃO: Apesar de ainda insuficiente, a integração de sistemas efetivada pela Estratégia e-SUS AB, que tem foco na redução de interfaces de usuário, pode ser considerada um fato novo na agenda da política de informação e informática do SUS.
Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation
Authors: Pezzelle Sandro , Takmaz Ece , Fernández Raquel
Published: January 2022

This study carries out a systematic intrinsic evaluation of the semantic representations learned by state-of-the-art pre-trained multimodal Transformers. These representations are claimed to be task-agnostic and shown to help on many downstream language-and-vision tasks. However, the extent to which they align with human semantic intuitions remains unclear. We experiment with various models and obtain static word representations from the contextualized ones they learn. We then evaluate them against the semantic judgments provided by human speakers. In line with previous evidence, we observe a generalized advantage of multimodal representations over language- only ones on concrete word pairs, but not on abstract ones. On the one hand, this confirms the effectiveness of these models to align language and vision, which results in better semantic representations for concepts that are grounded in images. On the other hand, models are shown to follow different representation learning patterns, which sheds some light on how and when they perform multimodal integration.
Infestation by Octolasmis species (Lepadiformes, Poecilasmatidae) of the marine crab Lupocycloporus gracilimanus (Decapoda, Portunidae) from India
Authors: Dash Gyanaranjan , Sen Swatipriyanka , Josileen Jose
Published: January 2022

The portunid crab Lupocycloporus gracilimanus from Digha, Bay of Bengal, India was investigated for an infestation by the lepadomorph cirriped Octolasmis spp. About 93% of the epibionts examined were found attached to the surface of the carapace, abdomen and legs, and these were identified as Octolasmis warwicki (EOW). Only 7% of the epibionts were attached to the branchial lamellae, and these were identified as Octolasmis angulata (EOA). Twenty-seven O. warwicki were also found to have conspecific dwarf males (CDM) attached to the scutum: probably an adaptive strategy to maximize the total insemination. Both the epibionts and the CDM showed spatial preference for the posterior mesobranchial region of the carapace. Most of the CDM (27%) were seen as a single attachment on the epibiont. The distance between the epibiont and its nearest neighbour (DNN) was found to be strongly and negatively correlated (, ) with the number of epibionts, indicating its preference to stay in an intermediate-sized group rather than remain solitary, which probably would have facilitated the evolution of dwarf males (CDMs). A higher percentage of epibionts were observed to have attached CDMs when the DNN increased, and above the 25 mm DNN, all epibionts were having CDM attachments, which is believed to be a strategy to maximize the fertilization success of CDMs by reducing sperm competition. A strong, positive correlation (, ) was observed between the carapace width of the host crab and the numbers of the infesting epibionts, proving that the larger crabs are more susceptible to the infestation compared to the smaller ones. The sex ratio of the host crab was 1 : 5.5 (Male : Female), nevertheless, only the females were infested by the epibionts. The percentage of the prevalence, relative abundance and mean intensity of EOW infestation were recorded as 46.15%, 182.05% and 394.44%, respectively. None of the crabs had serious external or internal infestations that seemed to hinder the activities of the animal. This is the first report of the infestation of these Octolasmis species on the portunid crab Lupocycloporus gracilimanus from India.
A Mughal Treatise on Essence and Existence
Authors: Nair Shankar
Published: January 2022

This article presents an annotated translation of The Equivalence between Giving and Receiving (al-Taswiya bayna al-ifāda wa-l-qabūl), a short Arabic treatise on essence (dhāt) and existence (wujūd) composed by the South Asian philosopher-Sufi Shaykh Muḥibb Allāh Ilāhābādī (996–1058/1587–1648). Although modern scholarship has habitually referred to Muḥibb Allāh as an ardent defender of the doctrine of waḥdat al-wujūd (“unity of existence”) associated with the figure of Ibn al-ʿArabī, such generalized formulations fail to do justice to the uniqueness of Muḥibb Allāh’s intellectual contributions. Most authors who had set out to provide a philosophical defense of Ibn al-ʿArabī’s teachings – including the well-known likes of Ṣadr al-Dīn al-Qūnawī, ʿAfīf al-Dīn al-Tilimsānī, ʿAbd al-Razzāq Kāshānī, Dāwud al-Qayṣarī, ʿAbd al-Raḥmān Jāmī, Mullā Ṣadrā, and so on – had tended to prioritize a philosophically utilizable formulation of wujūd or “existence.” Muḥibb Allāh, in notable contrast, favors a presentation of the divine Reality in terms of “pure essence/quiddity” (dhāt/māhiyya maḥḍa), at times going to considerable lengths to uphold his alternative formulation. Such a strategy of argumentation is uncommon amongst philosophical defenders of Ibn al-ʿArabī, the distinctiveness of which is further enhanced by Muḥibb Allāh’s peculiar mode of disputation, which straddles the line between metaphysics and natural philosophy/physics. The Taswiya occasioned at least sixteen commentaries and refutations; this translation benefits from consulting the earliest of these, composed by Mullā Maḥmūd al-Jawnpūrī (d. 1062/1652) and Khwāja Khwurd (d. 1073/1663), as well as three later commentaries by Ḥabīb Allāh Paṭnaʾī (d. 1140/1728). Most significantly, this translation makes extensive use of Muḥibb Allāh’s own Persian auto-commentary, the Sharḥ-i taswiya, which is a critical aid for deciphering the author’s at times opaque manner of expression and argumentation.
Implementing the Duty to Cooperate under the 1982 UNCLOS for the Conservation and Sustainable Use of Biodiversity in Areas beyond National Jurisdiction under a New BBNJ Agreement
Authors: Oral Nilufer
Published: January 2022

This article examines the duty to cooperate under the United Nations Convention on the Law of the Sea (UNCLOS) in relation to the obligations of States to protect and preserve the marine environment and in relation to the protection of the marine environment in areas beyond national jurisdiction. It demonstrates that the new Biodiversity Beyond National Jurisdiction (BBNJ) Agreement plays an important role in creating the necessary mechanisms for cooperation, thereby fulfilling the multiple obligations that States have under UNCLOS to cooperate regarding the protection and preservation of areas beyond national jurisdiction. Additionally, the BBNJ Agreement provides an important opportunity for States to effectively operationalize the UNCLOS provisions for marine scientific research, as well as the development and transfer of marine technology and capacity building. This article further analyses the duty to cooperate in relation to area-based management tools and environmental impact assessments, which are also key components of a broad framework of global cooperation under the BBNJ Agreement.
Protection of the Marine Environment
Authors: Young Margaret A.
Published: January 2022

The general obligation to protect and preserve the marine environment is contained in the United Nations Convention on the Law of the Sea (UNCLOS). Increasingly, marine issues are addressed in regional or multilateral trade agreements, including the covered agreements of the World Trade Organization (WTO). This article examines selected legal developments, such as provisions in regional trade agreements on marine capture fisheries, marine litter and waste management infrastructure. Rules on the use of trade measures to eliminate harmful fishing practices, and the prohibition of certain subsidies, are also explored. The article calls for attention to the impact of these developments on dispute settlement between states under UNCLOS, support for marine protected areas, and the capacity for regime interaction between relevant bodies. These issues have relevance for the conservation of marine living resources as well as other issues relating to the protection of the marine environment, including marine plastics and climate change.
Marine Scientific Research in Japan’s Practice
Authors: Huh Sookyeon
Published: January 2022

This article examines Japan’s state practices on marine scientific research (MSR). The survey of state practices requires the discernment of generalisability and particularity in each state practice. There are two points to note while considering the generalisabilities and particularities in Japan’s practices: first, Japan oversees MSR activities in its waters according to a non-legal instrument or a guideline, unlike neighbouring countries that use domestic legislation in MSR upon ratifying the United Nations Convention on the Law of the Sea; second, Japan faces quite a few MSR incidents in its undelimited exclusive economic zone. Thus, this article covers an outline of Japan’s guideline, its response to illegal or unregulated MSR activities in its waters, its relationships with neighbouring countries, and the failure of its attempt to legislate the MSR Law in 2007.
Navigating Digital Borderscapes: A Case Study from Rohingya Refugee Settlements in Bangladesh
Authors: Hussain Faheem , Lee Yenn
Published: January 2022

Based on a case study of the lived experiences of Rohingya refugees in Bangladesh between 2017 and 2019, this article focuses on displaced people’s digital needs and innovative efforts to navigate the challenges in their situation. The article first discusses the major barriers faced by Rohingya refugees in using various digital devices and platforms and how these obstacles adversely affect them in obtaining necessary information and humanitarian services. Our findings from the field highlight the uniquely important role that mobile repair shops in the camps play in providing online-offline hybrid solutions to circumvent restrictions imposed on the refugee community by the host government. The findings also show that different types of community leaders have emerged and that Rohingya women use digital means to push back against double discrimination. The article concludes with policy considerations related to the geopolitically transcendent issues of displacement, democracy, and digital rights.