bluuebunny/crossref_metadata_2025_split huggingface dataset:
Do PANoptosis like cell death exist in Acute-on-chronic liver failure? Evidence from literature mining study, bioinformatics analyses and experimental research
Authors: Ye Qianling , Wang Hanjing , Chen Yue , Zheng Yihao , Du Yuqiong , Ma Chongyang , Zhang Qiuyun 
Published: April 2023

Abstract
ACLF (Acute on chronic liver failure) is a systemic inflammatory disease. PANoptosis is a newly discovered regulated cell death (RCD) that occurs in the infectious and inflammatory diseases. The purpose of this study is to investigate the presence of PANoptosis in liver failure. We selected articles from PubMed and Web of Science databases to collect data from these articles through bibliometrics, data mining, and other methods, and then integrated and analyzed these data. Then, we used the public dataset (GSE139602) to obtain central differentially expressed genes (DEGs) to perform various bioinformatics analyses to predict the potential biological mechanism of ACLF. Finally, we conducted experiment validation in a model of ACLF with rats. We found that in the same cell model or animal disease model of liver failure, three types of RDC can occur simultaneously. Enrichment analysis showed that RDC and immune signaling pathways are important pathways in ACLF, and DEGs are mainly involved in immune and inflammatory responses, biosynthesis, and metabolic pathways. The vivo experiments in rats have shown that a large release of inflammatory factors and the key proteins of PANoptosis were all detected separately in the ACLF rats. Those data support the existence of PANoptosis in ACLF.
Software Defined Network for Energy Efficiency in IoT and RPL Networks
Authors: Gasouma Amir , Yusof Kamaludin M. , MUBARAKALI AZATH , Tayfour Omer Elsier 
Published: April 2023

Abstract
Today's most significant developing technology is the Internet of Things (IoT), and investigating it is a hot issue in information technology. The Internet Engineering Task Force (IETF) in RFC6550 defined the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL), one of the IoT's core routing protocols, and it is the only standard protocol that assists the routing process in Low Power and Lossy Networks (LLNs) of IoT applications. LLNs are connecting smart devices to the Internet to monitor, control, or exchange data. These smart devices are tiny with limited battery capacity and power supply, and it is suffering from excessive energy consumption. This network issue may be addressed with innovative flexible network topology using Software-Defined networks. Our work proposes an (LBC-NDFA) algorithm for software-defined RPL networks to reduce the number of RPL control messages and increase energy efficiency using a Limit based Broadcast Control (LBC) approach that modified the Destination Oriented Directed Acyclic Graph (DODAG) Information Object (DIO) control message format and used the Non-Deterministic Finite Automata (NDFA) algorithm to determine whether a DIO message needs to be broadcasted. Using network simulator NS3, we assess the results. The results of our experiments show the viability of our proposal with decreased control overhead, and control messages, and reduced energy consumption by 40% and 60% with compared works.
DG Placement and Reconfiguration of Radial Distribution System with Different Load Models
Authors: Yadav Ravi Kant , Bharti Dibya , De Mala 
Published: April 2023

Abstract
The distribution system experiences a large power loss as a result of a significant voltage drop. Many techniques have been developed in the literature to mitigate this issue by considering a single-load model. This paper presents a methodology for reducing system loss by improving voltage profiles through Distributed Generations (DGs) placement followed by reconfiguration for different load models. Constant Power (CP), Constant Current (CI), and Constant Impedance (CZ) as well as ZIP (Constant Impedance, Current, and Power) load models with varying loads are considered. The index vector method and Modified whale optimization algorithm are used to determine the best location and size of DGs. A load increment of 7% is used to plan the distribution system for the next five years. The applicability of the proposed methodology is demonstrated in the modified IEEE-33 bus and modified IEEE69 bus Radial Distribution System (RDS) and the results are compared with the existing Genetic Algorithm (GA) technique. The result shows that reconfiguration followed by placement of DGs is an effective technique for minimizing system loss by improving voltage profiles.
Application of medical intelligence based on Apriori algorithm in the management of rehabilitation nursing personnel
Authors: Minmin SHI , Qiuyue WANG , Feng GUO 
Published: April 2023

Abstract
With the increasing demand for medical services, the amount of data in the field of health care is gradually increasing in a stepwise manner every year. These medical data actually capture the medical information of patients and the entire diagnosis and treatment process of doctors, and can reflect the actual situation in the medical and health field. Currently, most hospital rehabilitation nurses use simple statistical methods to process medical data, and the use value of medical data resources is limited. To improve the value of using medical information, check the relationship between hidden laws and medical information. As one of the effective methods in the field of data mining, Apriori's basic principle is to use specific association rules to define all common element sets that support exceeding the minimum support threshold, and to create association rules that use a common model to achieve the validity threshold. This article uses Apriori algorithm to detect rehabilitation nursing personnel in hospitals, conduct data mining and exploration on medical data, design and construct a medical intelligence system, and then use Apriori algorithm to conduct research, propose a disease classification model and inpatient flow model, and conduct training and testing through the disease classification model. Finally, 300 hospital rehabilitation nursing personnel have received training in using a medical intelligence system to test the actual performance of the system, which has proven to enable rehabilitation nursing personnel to better understand patient information and provide personalized services.
User interest modeling and collaborative filtering algorithms application in English personalized learning resource recommendation
Authors: Jin Wu 
Published: April 2023

Abstract
In order to solve the problem that the current traditional English classroom teaching in large classes has higher teaching efficiency, but it is difficult to take care of every student, and it is difficult to meet the needs of students' personalized learning, this paper combines user interest modeling and collaborative filtering algorithms to propose a knowledge-oriented learning resource recommendation method. Moreover, this paper proposes an algorithm based on user interest model. In addition, on the basis of obtaining the user's historical interest model, this paper combines user behavior information to obtain the user interest model and calculates the similarity between the candidate items and the user, and makes TOP-N recommendation based on the similarity calculation result. Finally, this paper conducts experiments on the news dataset, and compares the results with the benchmark algorithm to prove the effectiveness of the algorithm. The results show that this paper has achieved certain results in the research of combining multi-data source user interest modeling and recommendation and has made a little contribution to the research of interest modeling.
The Causality between Gut Microbiome and Psoriasis Vulgaris: Insights from a Bi-Directional Two-Sample Mendelian Randomization Analysis
Authors: Jin Qiubai , Ren Feihong , Dai Dan , Zhao Yuechun , Li Jiaqi , Qian Yiyun , Song Ping 
Published: April 2023

Abstract
Aims Growing evidence have shown a significant relationship between gut microbiome and psoriasis vulgaris. But their causality has not been clarified. To investigate the causality and the direction and strength of the association between gut microbiome and psoriasis vulgaris, we performed an Mendelian randomization (MR) analysis.Methods We obtained the summary statistics of gut microbiome and psoriasis vulgaris from the published genome-wide association study. The inverse-variance weighted model was the main analytical model for determining causal association in our MR analysis and was followed by multiple sensitivity analyses and reverse MR analysis to validate the robustness of MR results.Results 7 bacterial taxa related to psoriasis vulgaris were detected by the current MR analysis. In specific, the genus Eubacterium Fissicatena [P = 3.66×10− 5<(0.05/196)] was a risk factor for psoriasis vulgaris, whereas genus Alloprevotella (P = 0.040), genus Gordonibacter (P = 0.038), genus Lachnospira (P = 0.020), genus Odoribacter(P = 0.024), genus Terrisporobacter (P = 0.046), and phylum Actinobacteria (P = 0.042) were associate with a lower risk of psoriasis vulgaris. The reverse MR analysis suggest no evidence of causal association from psoriasis vulgaris to gut microbiome.Conclusion We validated the causalities between gut microbiome and psoriasis vulgaris and brought innovative insights into the therapy of psoriasis vulgaris: targeted regulating intestinal bacterial taxon to prevent and treat psoriasis vulgaris.
Accurate nonlinear dynamic characteristics analysis of quasi-zero-stiffness vibration isolator via a modified incremental harmonic balance method
Authors: Meng Qingye , HOU Lei , Lin Rongzhou , Chen Yi , Cui Gengshuo , Shi Wenhao , Chen Yushu 
Published: April 2023

Abstract
Quasi-zero-stiffness (QZS) vibration isolator is widely used in low-frequency vibration isolation due to its high-static-low-dynamic-stiffness (HSLDS) characteristics. The complex nonlinear force of the QZS vibration isolator increases the difficulty of solving it while realizing the HSLDS characteristics. The typical analysis method is to use Taylor expansion to simplify the nonlinear force and make it approximate to polynomial form, which leads to inaccurate analysis results in the case of large excitation and small damping. Therefore, the modified incremental harmonic balance (IHB) method is used to directly analyze the dynamic characteristics of the QZS vibration isolator without simplification in this paper. The classical three-spring QZS vibration isolation model is used as the calculation example. The results are different from the previous approximate equation analysis results in three aspects: (1) There is no unbounded response of the system under displacement excitation; (2) Even harmonics and constant terms also exist in the response of the system and can lead to multiple solution intervals; (3) In the case of small damping and large excitation, both displacement excitation and force excitation have subharmonic resonance, reducing the vibration isolation performance of the system. In addition, the accuracy of the solution obtained by the IHB method is verified by the Runge-Kutta method. The accurate analysis method in this paper provides favorable theoretical support for the design and optimization of vibration isolators.
A Study on the Facade Decorative in Kulangsu
Authors: 胡 谢恩 , Liu Yufan 
Published: April 2023

Abstract
The architectural decoration of Kulangsu is complex and magnificent, including the characteristics and styles of classicism, eclecticism, traditional style of southern Fujian, and decorative style of Amoy. It is a treasure house of architectural decoration patterns. At the same time, the development of Kulangsu architecture is the same as the internationalization of modern architecture. Therefore, many modern style gatehouse decoration appeared in the buildings of Kulangsu. Based on the outline of the gate building, the way of arching and the significance of decorative patterns, this paper traces its origin and analyzes its geometry. The geometric relationship in the decoration of the gate house on Kulangsu Island is sorted out, and the gate house style and the gate house mountain flower style are specifically and systematically classified. It is hoped that the relationship between overseas Chinese, local residents and colonists in Southeast Asia can be explained by tracing the origin of architectural decoration.
Effects of whole-grain cereals on fecal microbiota and short-chain fatty acids in dogs - A comparison of rye, oats and wheat
Authors: Palmqvist Hanna , Höglund Katja , Ringmark Sara , Lundh Torbjörn , Dicksved Johan 
Published: April 2023

Abstract
Dietary fiber in dog food is reported to promote healthy gut microbiota, but few studies have investigated the effects of whole-grain cereals, which contain a variety of fiber types and other bioactive compounds. The aim of the present study was to compare the effects of diets containing whole-grain rye (R), oats (O) and wheat (W) on fecal microbiota, short-chain fatty acid production and diet digestibility. Twenty dogs were fed three experimental diets, each for four weeks, in a cross-over design. Fecal samples were collected at the end of each diet period. Analysis of 16S rRNA gene amplicons showed that family Lachnospiraceae and genus Bacteroides were the gut microbial groups most affected by diet, with lowest relative abundance following consumption of diet R and a trend for a corresponding increase in genus Prevotella_9. Fecal acetate and propionate were higher after diet R compared with diet O, with no effects on fecal dry matter. Macronutrient apparent total tract digestibility, measured using acid-insoluble ash, was similar for all three diets. In conclusion, rye had the strongest effect on gut microbiota and short-chain fatty acids, although the implications for dog gut health are not yet elucidated.
Serum oxalate concentration is associated with coronary artery calcification and cardiovascular events in Japanese dialysis patients
Authors: Nishizawa Yoko , Miyata Satoshi , Tosaka Mai , Hirasawa Eriko , Hosoda Yumi , Horimoto Ai , Omae Kiyotsugu , Ito Kyoko , Nagano Nobuo , Hoshino Junichi , Ogawa Tetsuya 
Published: April 2023

Abstract
Coronary artery calcification (CAC) is associated with cardiovascular disease (CVD). CAC might contain calcium oxalate, and a high serum oxalate (SOx) concentration is associated with cardiovascular mortality in dialysis patients. We assessed the associations between SOx and CAC or cardiovascular events in Japanese hemodialysis patients. In 2011, 77 hemodialysis patients underwent multi-detector spiral computed tomography, and Agatston CAC score was calculated. Serum samples were collected and frozen in 2011, and SOx concentrations were retrospectively measured in 2021. Also, new-onset CVD events in 2011–2021 were recorded. The association between SOx concentration and CAC score ≥ 1,000, and new-onset CVD events were examined by logistic regression, Kaplan–Meier, and Cox proportional hazard models, respectively. Median SOx concentration and CAC score were 266.9 (229.5–318.5) µmol/L and 912.5 (123.7–2944), respectively. CAC score was associated with SOx (adjusted odds ratio [OR] 1.01, 95% confidence interval [CI], 1.00–1.02). The number of new-onset CVD events was significantly higher in patients with SOx ≥ median value (hazard ratio [HR] 2.71, 95%CI 1.26–6.16). New-onset CVD events was associated with SOx ≥ median value (adjusted HR 2.10, 95%CI, 0.90–4.91). SOx was associated with CAC score and new-onset CVD events in Japanese hemodialysis patients.
Molecular Docking and Dynamic Simulation-based Screening Identifies Inhibitors of targeted SARS-CoV-2 3CLpro and Human ACE2
Authors: Susha D , Zainab Rida , Sharma Sameer 
Published: April 2023

Abstract
Several genetic variations of Severe Acute Respiratory Ryndrome coronavirus (SARS-CoV) are continuously arising due to the uncontrolled dissemination of the virus during the pandemic. Omicron (B.1.1.529), the most prevalent variation of concern, has demonstrated extraordinary proliferation and pathogenicity and has emerged as the dominant variant as it has inflicted mass casualties worldwide. Impeding the expression of 3CLpro, a coronavirus protease that is essential for digesting the RNA polyproteins, and the human angiotensin-converting enzyme 2 (ACE2) that serves as a receptor for the viral protein is identified as a competent therapeutic target. In the current study, human ACE2 and the viral 3CLpro complex was the target for the designing of novel drugs against the lethal virus. The docked complex was validated by Procheck, and the covid ligand library was investigated for its pharmacological efficacy using admetSAR 2.0. The molecular docking study was performed with the screened compounds obtained from the PubChem database against the docked protein complex. The molecular dynamics simulation study was effectuated using Desmond Schrodinger 2019.2 to assess the stability and interaction of the 3CLpro-ACE2 complex with the ligand followed by normal mode analysis. In addition to having favorable pharmacological qualities, the ligand 1-(4-fluorophenyl)-N'-(4-methylphenyl) propane-1,3-diamine exhibited the best binding affinity with the complex. Consequently, this compound can be used to develop anti-covid medications to combat complications associated with Omicron infection.
WITHDRAWN: Impact of Dark Current on Pinned Photo-Diode Capacitance of CMOS Image Sensor in Low illumination Regime
Authors: Suharwerdi Mohsin , Qazi Gausia 
Published: April 2023

Abstract
Low-light imaging is an essential characteristic of Space and Quanta sensing applications. For an accurate design and optimization of image sensor pixels, the analysis of Dark Current generation mechanisms including effects of Temperature, Trap concentration and Trap Cross-section is essential. TCAD optoelectrical simulations are used to calculate the thresholds of the above generation effects and the corresponding Dynamic Pinned Photo-Diode (PPD) capacitance variations. An interfacial Trap model with various generation models activated allows comparison of variations in PPD capacitance on a widely used PPD model both in light and dark. This allows the remodeling of existing CMOS image sensor compact models to capture the Dark Current effects in a Low illumination regime. The compact model shows a deviation of 6.85% from the physical device.
A Next Generation Sequencing (NGS)-based approach to diagnosing Algerian patients with suspected Inborn Errors of Immunity (IEIs)
Authors: Peng Xiao P. , Al-Ddafari Moudjahed Saleh , Caballero-Oteyza Andres , Mezouar Chahrazed El , Mrovecova Pavla , Dib Saad Eddin , Massen Zoheir , Smahi Mohammed Chems-Eddine , Aldaffari Faiza , Hassaïne Rafik Terki , Lefranc Gérard , Aribi Mourad , Grimbacher Bodo 
Published: April 2023

Abstract
The advent of next-generation sequencing (NGS) technologies has greatly expanded our understanding of both the clinical spectra and genetic landscape of inborn errors of immunity (IEIs). As history has shown and recent large-scale studies of monogenic risk for severe COVID have confirmed, endogamous populations may be enriched for unique, ancestry-specific disease-causing variants as a consequence of geography and/or culture. From a diagnostic perspective, this consideration may significantly impact molecular testing and analysis strategies. Herein, we report on the diagnostic yield of a 2-step NGS-based testing approach beginning with targeted gene panels (TGPs) and reflexing to whole exome sequencing (WES) if negative for Northwest Algerian patients with suspected IEIs. A total of fourteen families were screened using TGPs tailored to their IEI subtypes of common variable immunodeficiency (CVID), inflammatory bowel disease (IBD) or chronic mucocutaneous candidiasis (CMC)-hyperIgE syndrome (HIES), resulting in a total of four definitive or highly likely molecular diagnoses (29% yield). Subsequent application of WES to eight of the ten remaining unsolved cases yielded an additional four diagnoses, giving a 57% overall yield. At least two additional individuals were found to harbor suggestive candidate variants on exome warranting further investigation, while others carried candidate variants or known risk alleles likely contributing to their clinical findings. Only in one patient’s case did we fail to identify any viable potential candidates. By achieving diagnostic yields comparable to those currently quoted for application of short-read NGS to IEI detection, our study demonstrates the viability of a 2-step NGS-based testing strategy in a selected endogamous population. Data from our localized cohort also showed some similarities and differences from NGS studies performed on larger regional IEI cohorts. Finally, our results also highlight many short-comings currently inherent to the application of genomics for clinical IEI diagnostics. Not only does the global community need to address ongoing inequities in representation, access, and infrastructure, but the ability to obtain precise and detailed clinical data remains paramount for achieving diagnostic certainty in the face of complex genotype-phenotype relationships.
In Vitro Culture and Phytochemical Analysis of Diospyros Anisandra
Authors: Santana Alberto Geovanny Aguilar , Pool Felipe Barredo , Alamillo Miguel Angel Herrera , Erosa Fabiola Escalante , Llañez Miguel Angel Keb , Castano Enrique , Argaez Rocio Borges , Rodriguez-Zapata Luis Carlos 
Published: April 2023

Abstract
Diospyros anisandra is a small tree that contains metabolites with antitubercular, antibacterial, larvicidal, antioxidant, antihistaminic, and antiviral properties in its leaves, stem bark, and roots. However, this plant is slowly growing and takes about 10 years to reach maturity in situ. Therefore, it makes it an ideal model to apply tissue cultures and thus be able to have the metabolites of interest as required. In the present work we report for the first time, the establishment and comparison of three different protocols of in vitro culture of D. anisandra. This work aimed to establish stable in vitro cultivation conditions with seeds, leaves and nodal segments. They were cultured in Murashige and Skoog (MS) medium supplemented with plant growth regulators such as Gibberellic acid (GA3), zeatin, 6-benzylaminopurine (BAP), and 2,4-dichlorophenoxyacetic acid (2,4-D). The results showed that a germination efficiency of 73% was achieved in seeds with 57.8 µM GA3. In leaf regeneration, 80% regeneration of embryonic mass was achieved with 28.9 µM of BAP and zeatin. Finally, in nodal segments, an 85% efficiency in axillary shoot regeneration was achieved with 28.9 µM zeatin. On the other hand, the hexane extract of the plant segments of all treatments was analyzed by thin layer chromatography and gas chromatography-mass spectrometry (GC/MS). The main compounds detected are plumbagin, stigmasterol, β-sitosterol, taraxasterol, vitamin E, betulinic acid among others in the three systems studied, therefore, we can conclude that success was obtained in generating a cultivation method that allows us to have these compounds in less than 1 year of growth.