bluuebunny/crossref_metadata_2025_split huggingface dataset:
Three SINE Insertion Polymorphic Sites were Identified in Insulin-like Growth Factor 2 mRNA-binding Proteins
Authors: Wang Mengli , Zheng Yao , Moawad Ali Shoaib , Chen Cai , Chi Chenglin , Wang Xiaoyan , Song Chengyi 
Published: June 2022

Background: The insulin-like growth factor-2 mRNA-binding proteins 1, 2 and 3 (IGF2BP1, IGF2BP2, IGF2BP3) belong to a conserved family of RNA-binding, oncofetal proteins, these RNA-binding proteins (RBPs) modulate important aspects of cell function during development and in cancer. However, the structural variations of IGF2BPs gene generated by retrotransposon insertion have not yet been reported. Methods: In this study, the bioinformatic prediction was performed to screen for retrotransposon insertion polymorphisms (RIPs) in IGF2BP genes.Sixteen predicted RIPs in IGF2BP genes were identified and three RIPs caused by the youngest SINEA1 retrotransposons and located in IGF2BP3 introns were verified by PCR. Result: Polymorphisms of these three RIPs in commercial breeds are poor, but in Chinese native pig breeds, all three RIPs showed abundant polymorphisms. This is consistent with the intensive selection of commercial pigs. In summary, our data suggested that there are at least three RIPs caused by SINE retrotransposons in the IGF2BP3 gene. And they shows different polymorphic distribution in Chinese native and commercial breeds, suggesting that they can be used for population genetic analysis.
Total Talar and Navicular Extrusions
Authors: Lalchandani Gopal R. , Hung Nicole J. , Janghala Abhinav , Terry Michael , Morshed Saam 
Published: June 2022

Case:
A 15-year-old adolescent boy sustained both talar and navicular extrusions after a dirt-bike accident. The talus and navicular were discarded during initial debridement because of contamination. Given extensive soft-tissue injury and bone loss, the patient’s family opted for transtibial amputation, as described by Ertl, over limb salvage. Simultaneous osteomyoplastic reconstruction and acute targeted muscle reinnervation were performed.

Conclusion:
Transtibial amputation is a viable treatment option for total talar and navicular extrusions, particularly if an optimal functional outcome is unachievable with limb salvage. Simultaneous osteomyoplastic reconstruction and acute targeted muscle reinnervation can potentially decrease neuroma formation and phantom limb pain.
Superior Cluneal Nerve Stimulator Lead Displacement to the Thigh
Authors: Song Junho , Humphrey Tyler , Zhang Andrew , Chao Simon , Czerwein John 
Published: June 2022

Case:
An 82-year-old man with a history of lumbar spinal stenosis and prior laminectomy presented with chronic lower back pain and was treated with placement of bilateral superior cluneal nerve stimulators. At the 2-week follow-up, the patient reported loss of efficacy and new-onset paresthesia of the left lower extremity. Fluoroscopic evaluation revealed lead breakage and distal migration of the left-sided stimulator lead to the left anteromedial thigh.

Conclusion:
Lead breakage and migration remains a challenge in peripheral nerve stimulation. This report illustrates the case of a nerve stimulator lead breakage and migration resulting in treatment failure and new-onset sensory disturbance.
Rancang Bangun Website E-Commerce Berbasis Wordpress pada Mebel UD “REJEKI”
Authors: Siswanti Kristin , Famukhit Muga Linggar , Rahayu Dwi 
Published: June 2022

Dalam merancang dan membangun sebuah website e-commerce pada mebel UD “REJEKI” membuat pelanggan lebih mudah untuk melakukan pemesanan produk. Dengan adanya website e-commerce dapat membantu admin untuk melakukan proses penjualan dengan cepat dan tidak memakan waktu lama. Website e-commerce juga membantu dalam mempercepat proses transaksi penjualan pada mebel UD “REJEKI”. Metode yang digunakan dalam penelitian ini adalah Research and Development (R&D). R&D merupakan kegiatan penelitian dan pengembangan yang memiliki kepentingan yang kaitannya dengan pengembangan aplikasi di bidang teknologi. Teknik pengumpulan data pada metode penelitian R&D adalah dengan melakukan observasi dan wawancara yang dilakukan pada mebel UD “REJEKI”. Hasil dari penelitian ini adalah peneliti dapat mengetahui bagaimana rancang bangun website e-commerce yang tepat untuk mebel UD “REJEKI” sehingga dapat membantu dalam melakukan transaksi penjualan dengan mudah dan membantu dalam melihat laporan-laporan penjualan.
A Deep Learning Framework Using Graph Convolutional Networks for Adaptive Correction of Interwell Connectivity and Gated Recurrent Unit for Performance Prediction
Authors: Du Leding , Liu Yuetian , Xue Liang , You Guohui 
Published: June 2022

Summary
Oilfield development performance prediction is a significant and complex problem in oilfield development. Reasonable prediction of oilfield development performance can guide the adjustment of the development plan. Moreover, the reservoir will change slowly during reservoir development because of flowing water however, previous networks that forecast production dynamics ignored it, which leads to inaccurate predictions. Routine well-wise injection and production measurements contain important subsurface structure and properties. So, for the dynamic prediction of oil/water two-phase waterflooded reservoirs, we built a deep learning framework named adaptive correction interwell connectivity model based on graph convolutional networks (GCN) and gated recurrent unit (GRU). It includes two parts: The first part is the adaptive correction model based on GCN, which uses dynamic production data to automatically correct the initial interwell connectivity computed by permeability, porosity, interwell distance, and so on. The second part is the adaptive learning model based on GRU, which predicts the production performance of oil wells according to the time characteristics of production performance data. This framework considers the influence that changes in reservoir conditions have on production over time to solve the problem of inaccurate production dynamic prediction. It can also predict interwell connectivity. For oilfields with too many wells, using the embedding idea classifies similar wells into one category, saving time for training and avoiding overfitting problems. Applying the model to five different reservoirs to predict interwell connectivity, well oil production rate, and well water cut compare the results with artificial neural networks (ANN), GRU, and long short-term memory (LSTM) models and compare the interwell connectivity with numerical simulation software ,tNavigator® (Rock Flow Dynamics Llc), too. When the model is applied in Block B of Bohai A reservoir, the mean absolute percentage error of “Adaptive Graph convolutional network and GRU” (AG-GRU) is 2.1150% while the LSTM is 9.8872%. The error reduces by 78.6%. The injected water has a direction from the water injection well to the production well; this paper only considers the interwell connectivity without considering the direction. Further research is needed to consider the water injection direction and form a weighted directed graph.
The structure of the NuA4/Tip60 complex reveals the mechanism and importance of long-range chromatin modification
Authors: Schultz Patrick , Frechard Alexandre , Hexnerova Rozalie , Crucifix Corinne , Papai Gabor , Smirnova Ekaterina , Faux Celine , Ping Florie , Helmlinger Dominique , Ben-Shem Adam 
Published: June 2022

Abstract
Histone acetylation regulates most DNA transactions and is dynamically controlled by highly conserved enzymes. The only essential histone acetyltransferase (HAT) in yeast, Esa1, is part of the 1MDa NuA4 complex, which plays pivotal roles in both transcription and DNA damage repair. NuA4 has the unique capacity to acetylate histone targets located several nucleosomes away from its recruitment site. Neither the molecular mechanism of this activity nor its physiological importance are known. Furthermore, a high-resolution model for holo-NuA4 is lacking. Here we report the structure of the yeast NuA4 complex with its core resolved at 3.4 Å resolution. Three subunits, Epl1, Eaf1, and Swc4, intertwine to form a stable platform that coordinates all other modules. The HAT module is firmly anchored into the core while retaining the ability to stretch out over a long distance. We provide structural, biochemical and genetic evidence to demonstrate that an unfolded region of the Epl1 subunit is critical for this long-range activity, which we show to be essential for viability and maintenance of acetylated H4 levels in yeast. Our work lays the foundations for a mechanistic understanding of NuA4 regulatory role and elucidates how its essential long-range activity is attained.
Pre-and post-dam river water temperature alteration prediction using advanced machine learning models
Authors: Vishwakarma Dinesh Kumar , Ali Rawshan , Bhat Shakeel Ahmad , Elbeltagi Ahmed , Kushwaha Nand Lal , Kumar Rohitashw , Rajput Jitendra , Heddam Salim , Kuriqi Alban 
Published: June 2022

Abstract
Dams significantly impact river hydrology, mainly by changing the timing, size, and frequency of low and high flows, resulting in a hydrologic regime that differs significantly from the natural flow regime before the impoundment. For precise planning and judicious use of available water resources for agricultural operations and aquatic habitats, it is critical to accurately assess the dam water's temperature. The building of dams, particularly several dams in rivers, can significantly impact downstream water. In this study, we predict the daily water temperature of the Yangtze River at Cuntan. Thus, this work reveals the potential of machine learning models; namely, M5 pruned (M5P), random forest (RF), Random Subspace (RSS), and reduced error pruning tree (REPTree). The best and effectives input variables combinations were determined based on the correlation coefficient. The outputs of the various machine learning algorithm models were compared with recorded daily water temperature data using goodness-of-fit criteria and graphical analysis to arrive at a final comparison. Based on a number of criteria, numerical comparison between the models revealed that M5P model performed superior (R2 = 0.9920, 0.9708; PCC = 0.9960, 0.9853; MAE = 0.2387, 0.4285; RMSE = 0.3449, 0.4285; RAE = 6.2573, 11.5439; RRSE = 8.0288, 13.8282) in pre-impact and post-impact spam, respectively. These findings suggest that a huge wave of dam construction in the previous century altered the hydrologic regimes of large and minor rivers. This study will be helpful for the ecologists and river experts in the planning of new reservoirs to maintain the flows and minimize the water temperature concerning spillway operation. Finally, our findings revealed that these algorithms could reliably estimate water temperature using a day lag time input in water level. They are cost-effective techniques for forecasting purposes.
Extended Fuzzy Intervals and their Application in Optimal Allocation Problem Under Uncertainty
Authors: Ramik  
Published: June 2022

Abstract
In this paper we define a special interval uncertainty by extending the well known concept of fuzzy intervals (or, fuzzy numbers), defining a new concept of extended fuzzy interval and its subspace: extended linear fuzzy interval. We present some examples and derive basic properties. Then we demonstrate an application of the new concept by formulating the well known Optimal Allocation Problem (OAP) and its solution under uncertainty. We formulate the corresponding optimization problem with the extended fuzzy interval coefficients and also extended fuzzy interval variables and derive its optimal solution in the form of extended fuzzy intervals. Two numerical examples are presented in order to illustrate particular problems and solution concepts.
Design and Analysis of Negative Capacitance Assisted SRAM: A Compact Model Based Study
Authors: YADAV SAMEER , Kondekar PN , Awadhiya Bhaskar , Upadhyay Pranshoo , Jaisawal Rajeewa Kumar , Rathore Sunil 
Published: June 2022

Abstract
In this paper, a detailed evaluation of negative capacitance FinFET (NC-FinFET) based volatile static random access memory (6T-NCSRAM) is carried out by utilizing L-K equation for ferroelectric and calibrated BSIM-CMG model with 14nm conventional FinFET to form NC-FinFET. Static and dynamic behaviour of NC-FinFETs is explored and evaluated at different ferroelectric thickness. At supply voltage scaling, important SRAM performance metrics such as stability at different operation condition (hold, read and write mode) and standby leakage power were evaluated. When compared to traditional FinFET-based SRAM, 6T-NCSRAM exhibits distinct behaviour during low and high supply voltages. Moreover, the effect of wordline (WL) voltage pulse variation on 6T-NCSRAM is captured and minimum RC multiplier of 2RC is found to avoid functional failure of 6T-NCSRAM.
An improved metamorphosis-based scheme of configuration synthesis for feed mechanism
Authors: Zhang Li , Liu Yang , Zhang Yongju 
Published: June 2022

Abstract
In this work, the principle of metamorphic mechanism is optimized for product design based on the variable topological structures. A metamorphic element consisting of kinematic pair and kinematic size is proposed firstly. A new configuration synthesis strategy for feed mechanism is performed in view of the translocation, inversion and duplication variation methods. The metamorphic elements are obtained by means of the decomposing the source metamorphic mechanism. A novelty configuration scheme based on constraint variation features is established by the solution of constraint relationship of metamorphic elements, and three kinds of configurations are synthesized. The comparisons of kinematic performances between source mechanism and new mechanism configurations are carried out using kinematic simulation. Results demonstrate that proposed strategy can synthesize successfully multiple types of the metamorphic mechanisms to meet the demands of functional targets.
Sensor Placement Optimization in Dynamic Water Distribution Network by Considering the Importance of Nodes and Uncertain Contamination Entrance
Authors: harif Siroos , Darmian Mohsen Dehghani , Azizyan Gholamreza , Givehchi Mohammad 
Published: June 2022

Abstract
Urban infrastructure is heavily reliant on water distribution systems. Contaminants entering the water distribution systems (WDS) are one of the most dangerous events that may occur either deliberately or by accident. Water can become polluted with chemicals or biological agents as a result of water flow. This can cause sickness or even death among people who drink the water. Using an Early Warning Detection System (EWDS) is one of the most effective ways to minimize negative consequences on public health. EWDS are sensors that can reduce the damage due to detecting the contamination. The main challenge is to arrange the sensors in the network in the most efficient way. In this study, the Non-Dominated Sorted Genetic Algorithm-II (NSGA-II), a multi-objective optimization approach, is developed to determine the optimal placement of quality sensors in water distribution networks by balancing four conflicting objectives. 1. Sensor detection likelihood, 2. Sensor expected detection time, 3. Sensor detection redundancy, and 4. The affected population before detection. A contamination matrix with 1000 contaminants event was generated, which represented the total possible combinations of pollutants, then the optimal Pareto fronts are obtained for each two conflicting objectives. The importance coefficients are proposed and applied to minimize the pollution detection time and the number of infected populations based on the contamination risks and the node demands, respectively. Moreover, the sensitivity analysis of the results obtained from different objective functions related to the number of sensors installed in the network was conducted.
Quantifying spatial non-stationary response of influencing factors on ecosystem health: An example in the Inner Mongolia, China during 1995 to 2020
Authors: Na Li , Shi Yu , Guo Luo 
Published: June 2022

Abstract
The identification of ecosystem health and its influencing factors is crucial to sustainable management of ecosystem and ecosystem restoration. In spite of numerous studies on ecosystem health have been carried out in different perspectives, few studies have investigated the spatiotemporal heterogeneity between ecosystem health and its influencing factors systematically. Considering this gap, the spatial relationships between ecosystem health and its factors concerning climate, socioeconomic and natural resource endowment at the county level were estimated based on a geographically weighted regression (GWR) model. The spatio-temporal distribution pattern and driving mechanism of ecosystem health were systematically analyzed. Results showed that:(1)The ecosystem health level in Inner Mongolia spatially increases from northwest to southeast, displaying notable global spatial autocorrelation and local spatial aggregation.(2)The factors influencing ecosystem health exhibit significant spatial heterogeneity. Annual average precipitation (AMP),biodiversity(BI) was positively correlated with ecosystem health, annual average temperature(AMT) and land use intensity(LUI)are estimated to be negative.(3) Annual average precipitation (AMP) significantly improves ecosystem health, whereas annual average temperature (AMT) significantly worsens eco-health in the eastern and northern regions. LUI negatively impacts ecosystem health in western counties (such as Alxa, Ordos, and Baynnur).This study contributes to extending our understanding of ecosystem health depend on spatial scale, and could inform decision-makers about how to control various influencing factors to improve the local ecology under local conditions. Finally, this study also proposed some relevant policy suggestions and provide effective ecosystem preservation and management support in Inner Mongolia.
Barriers and facilitators to the implementation of guidelines in rare diseases: A systematic review
Authors: Gittus Matthew John , Chong Jiehan , Sutton Anthea , Ong Albert , Fotheringham James 
Published: June 2022

Abstract
Background:Rare diseases are individually rare but collectively common. They present a challenge to guideline implementation due to a low prevalence in the general population and the unfamiliarity of healthcare professionals. Existing literature in more common diseases references barriers and facilitators to guideline implementation. This systematic review aims to identify these barriers and facilitators in rare diseases. We systematically identified barriers and facilitators to the implementation of guidelines in rare diseases from existing literature: A multi-stage strategy included searching MEDLINE PubMed, EMBASE Ovid, Cochrane library and Web of Science from the earliest date available to April 2021, Orphanet journal hand-search, a pearl-growing strategy from a primary source and reference/citation search.We identified and trialled frameworks for the narrative synthesis of barriers and facilitators selecting the Integrated Checklist of Determinants of Practice which comprises of twelve checklists and taxonomies, 57 potential determinants. It was developed as a screening tool to identify determinants that warrant further in-depth investigation to inform design of future implementation strategies. Results:Thirty-nine studies were included, most of which were conducted in North America (56.4%). There were 154 barriers across 35 determinants (33 studies) and 52 facilitators across 24 determinants (22 studies). Fourteen diseases were included across seven WHO ICD-11 disease categories.Individual health professional factors and guideline factors were the most commonly reported domains (56.5% of barriers and 65.4% of facilitators). Overall, the three most reported barriers were the awareness/familiarity with the recommendation, domain knowledge and availability of necessary resources. The three most reported facilitators were awareness/familiarity with the recommendation, agreement with the recommendation and ability to readily access the guidelines. Particularly relevant to rare disease health technologies, the domain of incentives and resources included barriers to implementation in the form of technology costs, ancillary staff costs and more cost-effective alternatives. There was no mention in the included studies of influential people, patient advocacy groups or opinion leaders, or organisational factors influencing implementation. Conclusion:Key barriers and facilitators to the implementation of clinical practice guidelines in the setting of rare diseases were at the individual health professional and guideline level. Influential people and organisational factors were relatively under-reported and warrant exploration, as does increasing the ability to access the guidelines as a potential intervention.
Infinitely Scalable Multiport Interferometers
Authors: Hamerly Ryan , Bandyopadhyay Saumil , Englund Dirk 
Published: June 2022

Abstract
Component errors limit the scaling of programmable coherent photonic circuits. These errors arise because the standard tunable photonic coupler---the Mach-Zehnder interferometer (MZI)---cannot be perfectly programmed to the cross state. Here, we introduce two modified circuit architectures that overcome this limitation: (1) a 3-splitter MZI mesh for generic errors, and (2) a broadband MZI+Crossing design for correlated errors. Because these designs allow for perfect realization of the cross state, the matrix fidelity no longer decreases with mesh size, allowing scaling to arbitrarily large meshes. The proposed architectures support progressive self-configuration, are more compact than previous MZI-doubling schemes, and do not require additional phase shifters. This eliminates a major obstacle to the development of very-large-scale linear photonic circuits.
Thymoquinone counteracts oxidative and inflammatory machinery in carrageenan-induced murine paw edema model
Authors: Hijazy Hayfa Hussin Ali , Dahran Naief , Althagafi Hussam A. , Alharthi Fahad , Habotta Ola A. , Oyouni Atif Abdulwahab A. , Algahtani Mohammad , Theyab Abdulrahman , Al-Amer Osama , Lokman Maha S. , Alsharif Khalaf F. , Albrakati Ashraf , Amin Hatem K. , Dawood Shauq Mumtaz , Kassab Rami , Ellethy Rania A. 
Published: June 2022

Abstract
Thymoquinone (TQ) is an active constituent in Nigella sativa, and is extensively reported for its distinguished antioxidant, and anti-inflammatory bioactivities. Despite the local protective response of the acute inflammation, it contributes to the development of various disease conditions such as cell death, organ damage, or genesis of tumors. Hence, in this study, the effects of orally administered TQ (50 and 100 mg/kg) for 14 days against edema development, oxidative stress, and inflammation were investigated in paw edema induced by carrageenan in mice. Indomethacin (10 mg/kg) was used as a reference drug. The results revealed that TQ reduced the paw edema volume in a time-dependent manner, attenuated acetic acid-provoked writhing movements, and reduced xylene-triggered ear edema. Hematological findings revealed marked normalization of altered counts of WBCs, and platelets. Furthermore, paw tissue levels of MDA and NO showed marked decreases together with increases Nrf2, GSH, SOD, CAT, GPx, and GR after TQ administration. Additionally, TQ decreased the levels of pro-inflammatory mediators, such as IL-1b, TNF-α, IL-6, MCP-1, CRP, MPO, and NF-κB in the inflamed paw tissue. Moreover, appreciable decreases were recorded in COX-2 and its product (PGE-2) as well as the immune reaction of TNF-α in TQ-treated mice. Histopathological findings further validated the potential antioedematous, anti-inflammatory power of TQ in inflamed tissues. Conclusively, the obtained findings encourage the potent application of TQ to subside the acute inflammatory events because of its striking antioxidant and anti-inflammatory properties in the inflamed paw tissue.