bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediksi Nilai SPT Pada Tanah Non Kohesif Berdasarkan Data CPT dan Sifat Fisik Tanah Menggunakan Jaringan Saraf Tiruan
Authors: Nugroho Soewignjo Agus , Fernando Hendra , Suryanita Reni 
Published: May 2022

Standard Penetration Test (SPT) dan Cone Penetration Test (CPT) merupakan tes penyelidikan tanah awal yang sering digunakan saat memulai suatu konstruksi. Telah banyak penelitian sebelumnya yang membahas tentang korelasi antara nilai SPT dan CPT, namun korelasinya cenderung linier. Jaringan saraf tiruan merupakan teknik yang dapat memecahkan masalah yang kompleks dan nonlinier. Pada penelitian ini akan dilakukan prediksi nilai SPT menggunakan jaringan saraf tiruan pada tanah nonkohesif menggunakan algoritma backpropagation. Panelitian ini menggunakan 117 data dari beberapa wilayah di pulau Sumatera. Data masukan yang digunakan berupa nilai tahanan ujung (qc) dan nilai tahanan selimut (fs) dari pengujian CPT dan nilai tekanan overburden efektif (Ïƒ'0) serta persentase pasir dan butiran halus. JST dianggap efektif dalam penelitian ini dengan nilai RMSE 3,646, MAE 2,533 dan R2 0,9103 untuk data latih dan RMSE 2,955, MAE 2,190, R2 0,9311 untuk data uji. Selanjutnya model JST ini disebut sebagai NN_Nspt (NC).
Vulnerabilidades para o acesso à água no alto curso da bacia do rio Paraíba
Authors: Santos Edilma da Silva , Silva Janaína Barbosa da , Gonçalves Luzia Valberlígia Batista , Sousa Clemilda Barreto de , Silva Sérgio Dantas da , Silva Luzia Marinalva da 
Published: May 2022

O artigo identifica as vulnerabilidades ao acesso à água no alto curso da Bacia do Rio Paraíba, mais precisamente, nos respectivos municípios de Monteiro, Camalaú, Caraúbas e São Domingos do Cariri. Foi feita uma pesquisa de campo de setembro de 2020 a janeiro de 2021, cujo projeto preliminar foi submetido ao comitê de ética da Universidade Federal de Campina Grande- UFCG e aprovado, com o número do processo: 4.818.352. Trata-se de uma pesquisa com observação in lócus de natureza exploratória descritiva. Foram aplicados questionários sociais nos municípios e comunidades de Monteiro: Riacho Verde (3), Espírito Santo (3), Bredo (3) Pocinhos (1). No município de Camalaú: João Mendes (1) Floresta (4) Cangalha (2) Palmatória (1) Beira Rio (1) Eldorado dos Carajás (1). No município de São Domingos do Cariri: Boqueirão de São Domingos do Cariri (6), Pau Ferro (4). No município de Caraúbas: Retiro (2) e Campos (8). Constatou-se vulnerabilidades no acesso à água nos 4 municípios do estudo. Verificou-se que, o acesso à informação por parte dos ribeirinhos ainda é bastante incipiente; boa parte dos ribeirinhos das comunidades, utilizam água diretamente dos reservatórios de forma ainda um tanto arriscada ao bem-estar; existem queixas por parte dos ribeirinhos no aspecto físico ambiental; queixas dos ribeirinhos no cerne do gerenciamento para o acesso à água.
Machines like Us
Authors: Brachman Ronald J. , Levesque Hector J. 
Published: May 2022

How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise.
It's sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what's happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today's AI systems.
Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.
Fluoride effect indicators in Phaseolus vulgaris seeds and seedlings
Authors: Maressa Hungria de Lima e Silva Ingrid , Almeida Rodrigues Arthur , de Fátima Sales Juliana , Almeida Rodrigues Douglas , Carvalho Vasconcelos Filho Sebastião , Lino Rodrigues Cássia , Ferreira Batista Priscila , Carlos Costa Alan , Domingos Marisa , Müller Caroline , Alves da Silva Adinan 
Published: May 2022

Background
Fluoride (F) is one of the main environmental pollutants, and high concentrations are commonly detected in the air and in both surface and groundwater. However, the effects of this pollutant on seed germination and on the initial growth of crop seedlings are still poorly understood. In this context, the aim of this study was to assess morphoanatomical, physiological and biochemical fluoride effect indicators in Phaseolus vulgaris L. seeds and seedlings.

Methods
P. vulgaris seeds were exposed to a liquid potassium fluoride solution (KF, pH 6.0) at concentrations of 0 (control), 10, 20, 30 mg L−1 for 7 days. A completely randomized experimental design was applied, consisting of four treatments with four replications each. During the experimental period, physiological (7 days) anatomical and histochemical (2 days), biochemical and chemical (4 days) assessments. An analysis of variance was performed followed by Dunnett’s test. to determine significant differences between the KF-exposed groups and control seeds; and a multivariate analysis was performed.

Results
The germination parameters, and anatomical, morphological, physiological, biochemical and nutritional characteristics of the seedlings did not show negative effects from exposure to KF at the lowest doses evaluated. On the other hand, treatment with the highest dose of KF (30 mg L−1) resulted in a lower germination rate index and increase in abnormal seedlings, and higher electrical conductivity. A lower root length, magnesium content and photochemical efficiency were also observed. The exposure of P. vulgaris to KF, regardless the dose did not affect seeds anatomy and the accumulation of starch and proteins, in relation to the control group.

Conclusions
Our findings demonstrated that P. vulgaris seedlings were tolerant to KF solutions up to 20 mg L−1, and sensitive when exposed to 30 mg KF L−1.
LncRNA OIP5-AS1 modulates the proliferation and apoptosis of Jurkat cells by sponging miR-181c-5p to regulate IL-7 expression in myasthenia gravis
Authors: Wang Xu , Zhang Huixue , Lu Xiaoyu , Li Shuang , Kong Xiaotong , Liu Li , Li Lifang , Xu Si , Wang Tianfeng , Wang Jianjian , Wang Lihua 
Published: May 2022

Background
Myasthenia gravis (MG) is an antibody-mediated autoimmune disease. In recent years, accumulating evidence has indicated that long non-coding RNAs (lncRNAs) can function as competing endogenous RNAs (ceRNAs), contributing to the progression of various autoimmune diseases. Nevertheless, the regulatory roles of ceRNAs in MG pathogenesis remain unclear. In this study, we aimed to elucidate the role of lncRNA OIP5-AS1 as a ceRNA associated with MG progression.

Methods
Real-time PCR was used to detect OIP5-AS1 levels in peripheral blood mononuclear cells (PBMCs) from patients with MG. Luciferase reporter assays were performed to validate the relationship between OIP5-AS1 and miR-181c-5p. CCK-8 and flow cytometry were performed to test the proliferation and apoptotic abilities of OIP5-AS1 in Jurkat cells. Furthermore, real-time PCR and Western blot assays were performed to explore the interactions between OIP5-AS1, miR-181c-5p, and IL-7.

Results
The expression of OIP5-AS1 was up-regulated in patients with MG. Luciferase reporter assay indicated that OIP5-AS1 targeted the miR-181c-5p. Functional assays showed that OIP5-AS1 suppressed Jurkat cell apoptosis and promoted cell proliferation by sponging miR-181c-5p. Mechanistically, knockdown of OIP5-AS1 inhibited IL-7 expression at both the mRNA and protein levels in Jurkat cells, whereas the miR-181c-5p inhibitor blocked the reduction of IL-7 expression induced by OIP5-AS1 suppression.

Conclusions
We confirmed that OIP5-AS1 serves as an endogenous sponge for miR-181c-5p to regulate the expression of IL-7. Our findings provide novel insights into MG processes and suggests potential therapeutic targets for patients with MG.
Multimodality Imaging in Mechanical Orbital Trauma
Authors: Ebinesh A , Manchanda Alpana , Batra Radhika , Sehgal Apoorva 
Published: May 2022

Orbital trauma is commonly associated with trauma to head and face and the radiologist plays a key role in assessing these injuries. Common forms of orbital injury include bony fractures, anterior chamber injuries, injuries to lens, open-globe injuries, ocular detachments, intra-orbital foreign bodies, carotico-cavernous fistula and optic nerve injuries with orbital fractures being the commonest. Radiographic examination has low sensitivity for soft tissue injuries and is rarely performed. Ultrasound (USG) can be used to evaluate intraocular injuries and foreign bodies, however has poor sensitivity for evaluating the bone and retrobulbar area. It is contraindicated in open globe injuries. Computed tomography (CT) is the modality of choice for initial imaging in orbital trauma owing to its easy availability, high sensitivity for detection of orbital fractures, and improved sensitivity for evaluation of soft tissue injury and entrapment. Magnetic resonance imaging (MRI) may be difficult to perform in an emergency setting, has limited role in evaluating bony injuries and is contraindicated in cases of suspected intra-orbital metallic foreign body. However, owing to its higher soft tissue contrast resolution, it is indicated in optic nerve injuries, ocular detachments, carotico-cavernous fistula and particularly when contrast cannot be administered due to deranged renal function.
This article provides a comprehensive account of the role of various imaging modalities in the evaluation of trauma to the orbit and ocular globe with their imaging features and clinical relevance.
Nanoscale Antiferromagnetic Domain Imaging using Full‐Field Resonant X‐ray Magnetic Diffraction Microscopy
Authors: Choi Taeyang , Zhang Zhan , Kim Hoon , Park Sunwook , Kim Jong‐Woo , Lee Kyeong Jun , Islam Zahir , Welp Ulrich , Chang Seo Hyoung , Kim B. J. 
Published: May 2022

AbstractThe physical properties of magnetic materials frequently depend not only on the microscopic spin and electronic structures, but also on the structures of mesoscopic length scales that emerge, for instance, from domain formations, or chemical and/or electronic phase separations. However, experimental access to such mesoscopic structures is currently limited, especially for antiferromagnets with net zero magnetization. Here, full‐field microscopy and resonant magnetic X‐ray diffraction are combined to visualize antiferromagnetic (AF) domains of the spin–orbit Mott insulator Sr2IrO4 with area over ≈0.1 mm2 and with spatial resolution as high as ≈150 nm. With the unprecedented wide field of views and high spatial resolution, an intertwining of two AF domains on a length comparable to the measured average AF domain wall width of 545 nm is revealed. This mesoscopic structure comprises a substantial portion of the sample surface, and thus can result in a macroscopic response unexpected from its microscopic magnetic structure. In particular, the symmetry analysis presented in this work shows that the inversion symmetry, which is preserved by the microscopic AF order, becomes ill‐defined at the mesoscopic length scale. This result underscores the importance of this novel technique for a thorough understanding of the physical properties of antiferromagnets.
Temperature‐Dependent Phase Transitions in HfxZr1‐xO2 Mixed Oxides: Indications of a Proper Ferroelectric Material
Authors: Schroeder Uwe , Mittmann Terence , Materano Monica , Lomenzo Patrick D. , Edgington Patrick , Lee Young H. , Alotaibi Meshari , West Anthony R. , Mikolajick Thomas , Kersch Alfred , Jones Jacob L. 
Published: May 2022

AbstractKnowledge about phase transitions in doped HfO2 and ZrO2‐based films is crucial for developing future ferroelectric devices. These devices should perform in ambient temperature ranges with no degradation of device performance. Here, the phase transition from the polar orthorhombic to the nonpolar tetragonal phase in thin films is of significant interest. Detailed electrical and structural characterization is performed on 10 nm mixed HfxZr1‐xO2 binary oxides with different ZrO2 in HfO2 and small changes in oxygen content. Both dopant and oxygen content directly impact the phase transition temperature between the polar and nonpolar phase. A first‐order phase transition with thermal hysteresis is observed from the nonpolar to the polar phase with a maximum in the dielectric constant. The observed phase transition temperatures confirm trends as obtained by DFT calculations. Based on the outcome of the measurements, the classification of the ferroelectric material is discussed.
Räumliche und zeitliche Kartierung effizienter chiraler Induktion durch helikale Additive in dünnen Copolymerfilmen
Authors: Morgenroth Marius , Scholz Mirko , Guy Laure , Oum Kawon , Lenzer Thomas 
Published: May 2022

AbstractWir beobachteten eine effiziente Induktion von Chiralität in dünnen Polyfluoren‐Copolymer‐Dünnschichten durch Mischen mit chiralen Additiven vom Helicen‐Typ basierend auf dem Dibenzo[c,h]acridin‐Motiv. Bilder, die mittels Circulardichroismus (CD)‐ und zirkular polarisierter Lumineszenz (CPL)‐Mikroskopie erhalten wurden, liefern Informationen zu den chiralen Anordnungen in den dünnen Schichten mit beugungsbegrenzter Auflösung. Das CD‐Signal zeigt eine charakteristische Abhängigkeit von der Filmdicke, was für einen supramolekularen Ursprung der starken chiralen Antwort des Copolymers spricht. Insbesondere demonstrieren wir die Unterscheidung zwischen Filmen mit entgegengesetzter Chiralität auf Basis ihrer ultraschnellen transienten chiralen Antwort mit Hilfe von Femtosekunden‐Breitband‐CD‐Spektroskopie und einem neu entwickelten Aufbau für die transiente CPL‐Spektroskopie mit 28 ps Zeitauflösung. Eine systematische Variation des Enantiomeren‐Überschusses des chiralen Additivs zeigt, dass das “Feldwebel und Soldaten”‐Konzept und die “Mehrheitsregeln” nicht eingehalten werden.
Three copper(II) complexes derived from 2‐methylquinoline and cyclic secondary amines: Synthesis and catalytic application in C—N bond forming reactions
Authors: Jia Xuefeng , He Jieting 
Published: May 2022

AbstractThree copper(II) complexes (I–III) bearing N,O‐bidentate ligands (L1–L3), derived from 2‐methylquinoline and cyclic secondary amines (including pyrrolidine, morpholine, and 4‐methylpiperidine), were successfully prepared and successively employed in construction of CN bonds via the Chan–Lam coupling of 1H‐imidazole derivatives with arylboronic acids. X‐ray diffraction analysis demonstrated that the central copper(II) atom of II adopted the distorted tetrahedral geometry, which was four coordinated by one nitrogen atom and one oxygen atom from L2 as well as two chloride atoms. Catalytic studies indicated that complex II displayed higher activity in Chan–Lam reaction than complex I or III. The present protocol for N,O‐coordinated‐copper complex‐catalyzed CN coupling reaction exhibited some advantages such as wide scope of substrates, good yields, and mild conditions.
Advances in exosome biomarkers for cervical cancer
Authors: Ran Zihan , Wu Shaobo , Ma Zijng , Chen Xiuwen , Liu Jing , Yang Jingcheng 
Published: May 2022

AbstractCervical cancer (CC) ranks as the fourth most frequently diagnosed malignancy in females worldwide. Exosomes are a subclass of extracellular vesicles released by nearly all types of cells that act as cargo transport vehicles, carrying proteins, and genetic material (such as miRNAs, long noncoding RNAs, and mRNAs) derived from their parent cells may affect receiving cells and thus have emerged as key players in several biological processes, including inflammatory pathways. In this review, we concentrated on the findings of exosome investigations in CC, particularly their components. They direct the actions of CC cells by inducing surface molecules associated with various biological pathways. We summarized the current knowledge of exosomal RNAs and proteins from CC cells and discussed the feasibility of exosomes as potential biomarkers for CC. We suggest that cancer‐derived exosomes promote metastasis in CC by supporting EMT, controlling the proliferation, invasion, or migration of cancer cells, as well as influencing immune escape and aiding angiogenesis. Overall, cancer‐derived exosomes are critical in the progression of CC, and further studies are necessary to advance our understanding of the clinical value of exosomes in CC.
Genetic improvement in grain yield and quality of Australian durum wheat over six decades of breeding
Authors: Kadkol Gururaj , Sissons Mike , Lambert Nicholas , Lisle Chris 
Published: May 2022

AbstractBackground and ObjectivesDurum wheat breeding commenced in Australia in the 1930s by the New South Wales Department of Primary Industries (NSW DPI), Australia. Dural was developed in 1956 from a cross between North African landraces. Since then, another 20 varieties have been released in the following six decades by NSW DPI and the University of Adelaide. These were evaluated for agronomic and detailed quality traits including pasta‐making quality over three seasons. This study aimed to quantify progress achieved in Australian durum breeding for yield, quality, and some agronomic traits since the release of Dural.FindingsA demonstrated grain yield improvement at the rate of 27.8 kg ha−1 year−1 up to 2017 has been achieved when generally maintaining low screenings and high thousand grain weight. The recent varieties are medium early in their maturity relative to Dural and possess improved lodging tolerance which has resulted in better adaptation to seasonal conditions under dryland cultivation, and also, adaptation to high input irrigated cropping. Breeding has also resulted in higher technological quality, specifically, improved semolina yellow color, higher dough strength, improved pasta brightness and yellowness but with slightly declining grain protein content. Strong genetic gain was observed in semolina color traits, namely, reduction in a* and increase in b*.ConclusionThe progress in Australian durum breeding over the last six decades compares well to the progress achieved in other countries for yield, agronomic, and quality traits. The improvements in yield and quality are expected to continue with future developments focussing on adaptation to meet the changing climate and improving tolerance to a major disease, crown rot, while maintaining high technological quality.Significance and NoveltyThis is the first study quantifying the progress made in Australian durum breeding efforts and the first study that includes pasta‐making quality traits from an historical breeding perspective.
Classification of tablet formulations by desorption electrospray ionisation mass spectrometry and transmission Raman spectroscopy
Authors: Taylor Adam J. , Tsikritsis Dimitrios , Dexter Alex , Burton Amy , Bunch Josephine , Belsey Natalie A. 
Published: May 2022

AbstractDiscrepancies or defects in active ingredients, excipients and coatings that form solid oral dosage forms can both impact product quality and provide hallmarks of off‐brand or counterfeit products. There is therefore a need for rapid and continuous analytical techniques that can assess and classify product differences of intact samples at or near the production line, or in analytical labs, ideally without resorting to product dissolution. Here we test the ability of two rapid ambient chemical characterisation methods to discriminate between solid dosage forms: Desorption electrospray ionisation mass spectrometry (DESI MS) and transmission Raman spectroscopy. These two techniques are highly complementary, offering greater sensitivity to the analysis of the surface and the tablet bulk, respectively. The data sets generated were then used to test a variety of classification algorithms including linear discriminate analysis (LDA), tree‐based methods, a simple neural network, and support vector machines (SVM). The highest performing algorithms for DESI MS were the SVM, with an additional performance boost when used with a polynomial kernel. For transmission Raman data, an LDA model was found to be the most effective.
Improved meta‐heuristic algorithm for selecting optimal features: A big data classification model
Authors: Senthamil Selvi Ramar , Valarmathi Muniyappan Lakshapalam , Devadas Prathima 
Published: May 2022

AbstractMany fields function with large databases constitute a high number of features. Feature selection strategies seek to exclude the features that are distracting, repetitive, or unnecessary, as they can degrade the classification results. Existing approaches lack the scalability needed to handle the datasets with millions of instances and they do not obtain favorable results in a timely manner. This study uses a unique feature selection approach based on an upgraded optimization model and deep machine learning‐based data classification. “(a) Feature extraction, (b) optimal feature selection, and (c) classification” are the three stages of the proposed model. Initially, the extracted big‐datasets are efficiently handled by the parallel pool map‐reduce architecture. Several features from the input big‐data are extracted using feature extraction (FE) approaches such as the suggested Tri‐Kernel principal component analysis (TK‐PCA), linear discriminant analysis, and linear square regression. Furthermore, the data obtained characteristics may contain data that is irrelevant, out‐of‐date, or noisy. The computing cost rises due to the larger feature space. As a result, the best features are selected using a new optimization technique known as Levy Adapted SLnO (LA‐SLnO), which is a superior variant of the original SLnO algorithm. This selection of appropriate features improves the classification accuracy. For classification, Convolutional Neural Network is used in this work. Finally, a comparative evaluation is undergone to validate the efficiency of the proposed model.
A computer‐aided design tool for RF filters design automation
Authors: Othman Ali , Barrak Rim , Mabrouk Mohamed , Idir Abib Ghalid , Muller Muriel 
Published: May 2022

SummaryIn this paper, we propose a computer‐aided design (CAD) tool in the electronic design automation (EDA) domain. This tool is dedicated for the design and simulation of Radiofrequency (RF) filters that are integrated into Advanced Design System (ADS) software. It includes a graphical user interface (GUI) developed using the design kit feature available under ADS and “Application Extension Language (AEL)” as a programming language. This will extend the existing smart filter design tool under ADS by adding more types of RF filters. The proposed feature will provide to users a rapid and an accurate tool to design and simulate RF filters by presenting interactive menus facilitating the process. As a proof of concept, an application of this tool is presented for the design of a Dual‐Behavior Resonators filter. The tool can be upgraded by adding other RF components and even entire front‐end circuits. In a future step, this tool will be enhanced by adding tuning capabilities to RF filters using ideal capacitors and varactors, which will make it the first one of its kind in the literature.