bluuebunny/crossref_metadata_2025_split huggingface dataset:
Protective role of remote ischemic conditioning in renal transplantation and partial nephrectomy: A systematic review and meta-analysis of randomized controlled trials
Authors: Zhang Wenfu , Wu Yingting , Zeng Mingwang , Yang Chao , Qiu Zhengang , Liu Rongrong , Wang Lifeng , Zhong Maolin , Chen Qiaoling , Liang Weidong 
Published: April 2023

ObjectiveStudies have shown that remote ischemic conditioning (RIC) can effectively attenuate ischemic-reperfusion injury in the heart and brain, but the effect on ischemic-reperfusion injury in patients with kidney transplantation or partial nephrectomy remains controversial. The main objective of this systematic review and meta-analysis was to investigate whether RIC provides renal protection after renal ischemia-reperfusion injury in patients undergoing kidney transplantation or partial nephrectomy.MethodsA computer-based search was conducted to retrieve relevant publications from the PubMed database, Embase database, Cochrane Library and Web of Science database. We then conducted a systematic review and meta-analysis of randomized controlled trials that met our study inclusion criteria.ResultsEleven eligible studies included a total of 1,145 patients with kidney transplantation or partial nephrectomy for systematic review and meta-analysis, among whom 576 patients were randomly assigned to the RIC group and the remaining 569 to the control group. The 3-month estimated glomerular filtration rate (eGFR) was improved in the RIC group, which was statistically significant between the two groups on kidney transplantation [P &lt; 0.001; mean difference (MD) = 2.74, confidence interval (CI): 1.41 to 4.06; I2 = 14%], and the 1- and 2-day postoperative Scr levels in the RIC group decreased, which was statistically significant between the two groups on kidney transplantation (1-day postoperative: P &lt; 0.001; MD = 0.10, CI: 0.05 to 0.15, I2 = 0; 2-day postoperative: P = 0.006; MD = 0.41, CI: 0.12 to 0.70, I2 = 0), but at other times, there was no significant difference between the two groups in Scr levels. The incidence of delayed graft function (DGF) decreased, but there was no significant difference (P = 0.60; 95% CI: 0.67 to 1.26). There was no significant difference between the two groups in terms of cross-clamp time, cold ischemia time, warm ischemic time, acute rejection (AR), graft loss or length of hospital stay.ConclusionOur meta-analysis showed that the effect of remote ischemia conditioning on reducing serum creatinine (Scr) and improving estimate glomerular filtration rate (eGFR) seemed to be very weak, and we did not observe a significant protective effect of RIC on renal ischemic-reperfusion. Due to small sample sizes, more studies using stricter inclusion criteria are needed to elucidate the nephroprotective effect of RIC in renal surgery in the future.
Experimental Investigation on Reversible Swelling Mechanisms of Lithium-Ion Batteries under a Varying Preload Force
Authors: Michelini Emanuele , Höschele Patrick , Heindl Simon Franz , Erker Simon , Ellersdorfer Christian 
Published: April 2023

The safety of lithium-ion batteries has to be guaranteed over the complete lifetime considering geometry changes caused by reversible and irreversible swellings and degradation mechanisms. An understanding of the pressure distribution and gradients is necessary to optimize battery modules and avoid local degradation bearing the risk of safety-relevant battery changes. In this study, the pressure distribution of two fresh lithium-ion pouch cells was measured with an initial preload force of 300 or 4000 N. Four identical cells were electrochemically aged with a 300 or 4000 N preload force. The irreversible thickness change was measured during aging. After aging, the reversible swelling behavior was investigated to draw conclusions on how the pressure distribution affected the aging behavior. A novel test setup was developed to measure the local cell thickness without contact and with high precision. The results suggested that the applied preload force affected the pressure distribution and pressure gradients on the cell surface. The pressure gradients were found to affect the locality of the irreversible swelling. Positions suffering from large pressure variations and gradients increased strongly in thickness and were affected in terms of their reversible swelling behavior. In particular, the edges of the investigated cells showed a strong thickness increase caused by pressure peaks.
Antibacterial Activity of Ginkgo biloba Extracts against Clavibacter michiganensis subsp. michiganensis, Pseudomonas spp., and Xanthomonas vesicatoria
Authors: Sánchez-Hernández Eva , González-García Vicente , Palacio-Bielsa Ana , Lorenzo-Vidal Belén , Buzón-Durán Laura , Martín-Gil Jesús , Martín-Ramos Pablo 
Published: April 2023

Phytopathogenic bacteria represent a risk to global food production by impacting a variety of crops. The aim of this study was to characterize the contents of bioactive constituents in extracts from Ginkgo biloba L. leaves and fruits and test their activity against six phytopathogenic bacteria that affect horticultural crops. Gas chromatography–mass spectrometry (GC−MS) was used for the chemical profiling of the aqueous methanol extracts, and their bacteriostatic activity against Clavibacter michiganensis subsp. michiganensis, Pseudomonas cichorii, Pseudomonas syringae pv. pisi, Pseudomonas syringae pv. syringae, Pseudomonas syringae pv. tomato, and Xanthomonas vesicatoria (formerly Xanthomonas campestris pv. vesicatoria) was determined in vitro through the agar dilution method. The protective effect of the leaf extract was tested in vivo against the most relevant bacterial pathogens based on their economic/scientific importance, i.e., C. michiganensis subsp. michiganensis and P. syringae pv. pisi, in tomato (Solanum lycopersicum L.) and pea (Pisum sativum L.) plants, respectively, under greenhouse conditions. The GC−MS characterization of G. biloba extracts revealed the presence of dihydro-4-hydroxy-2(3H)-furanone, 2,4-dimethyl-3-hexanol, catechol, 3-O-methyl-D-fructose, 4,6-di-O-methyl-α-D-galactose, methyl 2-O-methyl-α-D-xylofuranoside, and 3-methyl mannoside. In vitro growth inhibition tests showed that, while the fruit extract had no activity, the leaf extract exhibited minimum inhibitory concentrations between 500 and 1000 μg mL−1, which may be attributed to the presence of 2,4-dimethyl-3-hexanol and catechol. In vivo tests of the leaf extract demonstrated full protection in tomato and pea plants at 1000 and 1500 μg∙mL−1, respectively. The results indicate that G. biloba leaves may be employed as a biorational source for integrated pest management in horticulture.
The Effect of Stress Hormones, Ultraviolet C, and Stilbene Precursors on Expression of Calcineurin B-like Protein (CBL) and CBL-Interacting Protein Kinase (CIPK) Genes in Cell Cultures and Leaves of Vitis amurensis Rupr
Authors: Kiselev Konstantin V. , Aleynova Olga A. , Ogneva Zlata V. , Suprun Andrey R. , Ananev Alexey A. , Nityagovsky Nikolay N. , Dneprovskaya Alina A. , Beresh Alina A. , Dubrovina Alexandra S. 
Published: April 2023

Calcium serves as a crucial messenger in plant stress adaptation and developmental processes. Plants encode several multigene families of calcium sensor proteins with diverse functions in plant growth and stress responses. Several studies indicated that some calcium sensors may be involved in the regulation of secondary metabolite production in plant cells. The present study aimed to investigate expression of calcineurin B-like proteins (CBL) and CBL-interacting protein kinase (CIPK) in response to conditions inducting biosynthesis of stilbenes in grapevine. We investigated CBL and CIPK gene expression in wild-growing grapevine Vitis amurensis Rupr., known as a rich stilbene source, in response to the application of stilbene biosynthesis-inducing conditions, including application of stress hormones (salicylic acid or SA, methyl jasmonate or MeJA), phenolic precursors (p-coumaric acids or CA), and ultraviolet irradiation (UV-C). The influence of these effectors on the levels of 13 VaCBL and 27 VaCIPK mRNA transcripts as well as on stilbene production was analyzed by quantitative real-time RT-PCR in the leaves and cell cultures of V. amurensis. The data revealed that VaCBL4-1 expression considerably increased after UV-C treatment in both grapevine cell cultures and leaves. The expression of VaCIPK31, 41-1, and 41-2 also increased, but this increase was mostly detected in cell cultures of V. amurensis. At the same time, expression of most VaCBL and VaCIPK genes was markedly down-regulated both in leaves and cell cultures of V. amurensis, which may indicate that the CBLs and CIPKs are involved in negative regulation of stilbene accumulation (VaCBL8, 10a-2, 10a-4, 11, 12, VaCIPK3, 9-1, 9-2, 12, 21-1, 21-2, 33, 34, 35, 36, 37, 39, 40, 41-3, 41-4). The results obtained provide new information of CBL and CIPK implication in the regulation of plant secondary metabolism in response to stress hormones, metabolite precursors, and UV-C irradiation.
Pengaruh Konsentrasi Pgpr (Plant Growth Promoting Rhizobacteria) Terhadap Pertumbuhan Dan Hasil Tanaman Kangkung (Ipomoea Reptans Poir) Varietas Bika
Authors: Nugraha Eka , Noertjahyani Noertjahyani , Parlinah Linlin 
Published: April 2023

Tujuan dari penelitian ini adalah untuk untuk mempelajari pengaruh konsentrasi pupuk PGPR terhadap pertumbuhan dan hasil tanaman kangkungÂ varietas Bika, Serta mengetahui konsentrasi pupuk PGPR yang memberikan bobot segar tertinggi. Penelitian ini dilaksanakan di Desa Kadakajaya Tanjungsari Sumedang dengan ketinggian tempat 1094 meter di atas permukaan laut. Waktu percobaan dilaksanakan pada bulan Juli-Agustus 2020. Rancangan lingkungan yang digunakan adalah Rancangan Acak Kelompok (RAK) yang terdiri dari enam perlakuanÂ konsentrasi PGPR dan masing-masing diulang empat kali. Konsentrasi PGPR yang digunakan adalah kontrol (PGPR 0 g L-1) , PGPR 5 g L-1, PGPR 10 g L-1, PGPR 15 g L-1, PGPR 20 g L-1, dan PGPR 25 g L-1. Pemberian konsentrasi PGPR berpengaruh terhadap tinggi tanaman, jumlah daun pada 25 HST dan 30 HST, volume akar dan bobot segar tanaman kangkung varietas Bika. Pemberian konsentrasi PGPR 10-25 g L-1 dapat meningkatkan bobot segar 24,48% hingga 54,03% pada tanaman kangkung varietas Bika.
Populasi Tumbuhan Anggota Famili Zingiberaceae di Blok Koleksi Tumbuhan Sumber Agung DS Tahura Wan Abdul Rachman (Population of Plant of the Zingiberaceae Family Members at Sumber Agung DS Plant Collection Block in Tahura Wan Abdul Rachman)
Authors: Dewy Merty Fertyana , . Indriyanto 
Published: April 2023

The Wan Abdul Rachman Great Forest Park (Tahura) is one of the conservation forests in Lampung Province. The plant collection block serves as a place for the collection of native and artificial plants. The Collection Block has the potential as a place to grow members of the Zingiberaceae family. Zingiberaceae is a flowering plant known as ginger plants. This study aims to determine the population of plants belonging to the Zingiberaceae family in the Sumber Agung Plant Collection Block, Wan Abdul Rachman Great Forest Park. The study was conducted in June-July 2021. The method used was the transect method with a sampling intensity of 0.1% or an area of 1,411.8 m2. There are 4 transect, each measuring 5 m wide and 180 m long. Sample plots measuring 5 m x 2 m were made continuous in all transect. The results showed the population of plants belonging to the Zingiberaceae family in the Sumber Agung Plant Collection Block as many as 15 species, namely temulawak (Curcuma xanthorrhiza), laos (Alpinia galanga), fragrant lempuyang (Zingiber aromaticum), ginger (Zingiber officinale), bitter lempuyang /emprit (Zingiber amarican), tepus (Etlingera solaris), lempuyang elephant (Zingiber zerumbet), temu putih (Curcuma zedoaria), white galangal (Alpinia malaccensis), pacing (Costus spesiosus), temu giring (Curcuma heyneana), bangle (Zingiber purpureum), cardamom (Amomum compactum), honje/kecombrang (Etlingera elatior), and wresah (Amomum delbatum). The dominant population of Zingiberaceae plants is Laos with an INP of 75.809 and a density of 666.6 individuals/ha. Keyword: population; Zingiberaceae; collection blocks; great forest park
An Alternative Interpretation for the Origin of Black Shale in the Bakken Formation of the Williston Basin
Authors: Petty David M. 
Published: April 2023

AbstractRecently, most researchers have argued for a deep-water origin for black shale in the Bakken Formation of the Williston basin based on sedimentology, paleontology and geochemistry characteristics that place black, laminated, sparsely fossiliferous, radiolarian, pyritic shale as the seaward lithology in an assemblage that originally transitioned landward into shallow-water facies. The shallow-water interpretation advocated in this paper is based on stratigraphic characteristics that include the absence of strata that represent a landward equivalent to the shale, gradual landward shale pinchouts, the restriction of Bakken strata to basinal areas, the Bakken onlap depositional style, and placement of a major maximum flooding surface near the base of the overlying Lodgepole.Black mud deposition in the Bakken is interpreted to have occurred in a low-relief, semi-enclosed, epeiric-lagoon environment with typical water depths of 0–30 m. It is theorized that a high-rainfall climate caused salinity stratification that produced bottom-water anoxia, which preserved organic material. Perhumid climate conditions (year-round rainfall) fostered thick soils and dense vegetation that limited sediment release and induced mud-dominated, sand-poor deposition. During middle Bakken deposition, an arid to semi-arid climate eliminated the bottom-water anoxic conditions and caused carbonate-siliciclastic deposition. The abrupt vertical transitions from black shale (lower Bakken), to carbonate-siliciclastic lithologies (middle Bakken), to black shale (upper Bakken) were caused by paleoclimate change.
Bayesian artificial intelligence for geologic prediction: Fracture case study, Horn River Basin
Authors: Agar S.M , Li W. , Goteti R. , Jobe D. , Zhang S. 
Published: April 2023

AbstractA Bayesian Belief Network (BN) has been developed to predict fractures in the subsurface during the early stages of oil and gas exploration. The probability of fractures provides a first-order proxy for spatial variations in fracture intensity at a regional scale. Nodes in the BN, representing geologic variables, were linked in a directed acyclic graph to capture key parameters influencing fracture generation over geologic time. The states of the nodes were defined by expert judgment and conditioned by available datasets. Using regional maps with public data from the Horn River Basin in British Columbia, Canada, predictions for spatial variations in the probability of fractures were generated for the Devonian Muskwa shale. The resulting BN analysis was linked to map-based predictions via a geographic information system. The automated process captures human reasoning and improves this through conditional probability calculations for a complex array of geologic influences. A comparison between inferred high fracture intensities and the locations of wells with high production rates suggests a close correspondence. While several factors could account for variations in production rates from the Muskwa shale, higher fracture densities are a likely influence. The process of constructing and cross-validating the BN supports a consistent approach to predict fracture intensities early in exploration and to prioritize data needed to improve the prediction. As such, BNs provide a mechanism to support alignment within exploration groups. As exploration proceeds, the BN can be used to rapidly update predictions. While the BN does not currently represent time-dependent processes and cannot be applied without adjustment to other regions, it offers a fast and flexible approach for fracture prediction in situations characterized by sparse data.
DAMPAK PANDEMI COVID-19 PADA PRESTASI BELAJAR MAHASISWA KEPERAWATAN TAHAP AKADEMIK
Authors: Purnawinadi I Gede 
Published: April 2023

Latar belakang: Pandemi COVID-19 berdampak signifikan disemua bidang secara global, terlebih khusus pada dunia pendidikan secara nasional. Kegiatan pembelajaran tatap muka beralih pada proses pembelajaran daring (online) dalam upaya mencegah penularan virus corona. Transformasi pembelajaran ini tentunya mempunyai konsekuensi terhadap hasil belajar peserta didik baik tingkat menengah maupuan di perguruan tinggi. Penelitian ini bertujuan menganalisis prestasi belajar mahasiswa keperawatan tahap akademik melalui uji komparatif IPK pada semester sebelum dan saat pandemi. Metode: Data penelitian ini merupakan total sampling 1043 IPK mahasiswa keperawatan di salah satu perguruan tinggi swasta di sulawesi utara. Data dianalisis melalui uji komparatif non parametrik Mann Whitney karena tidak memenuhi kelayakan asumsi normalitas. Hasil: Hasil penelitian ini didapati bahwa terjadi peningkatan kategori prestasi belajar mahasiswa sebelum dan saat pandemi, sehingga ada berbedaan yang signifikan kategori prestasi belajar mahasiswa keperawatan pada semester sebelum dan saat pandemi COVID-19 dengan nilai signifikan 0,000 (p value < 0,05). Kesimpulan: Konsep merdeka belajar yang benar melalui penggunaan teknologi dalam proses pembelajaran memberikan peluang kepada para peserta didik dalam belajar dan mengembangkan diri secara mandiri, meskipun situasi pandemi menuntut kegiatan pembelajaran secara daring. Diskusi: Bagi institusi penyelenggara pendidikan diharapkan tetap mengembangkan manajemen pembelajaran daring dengan meningkatkan fasilitas dan sumber daya yang memadai.
A Software-Defined Deterministic Internet of Things (IoT) with Artificial Intelligence (AI) for Quantum-Safe Cyber-Security
Authors: Szymanski Ted 
Published: April 2023

<p>The next-generation Internet of Things (IoT) will enable Industry 4.0 and Smart Cyber-Physical Systems, including Smart Cities and Smart Manufacturing. These Smart Systems require: (i) ultra-low latencies, and (ii) immunity from cyber-attacks. This paper explores a "Software-Defined Deterministic IoT", with Artificial Intelligence (AI) for Cyber-Security. It introduces a new sub-layer (3a) of "Software Defined Wide Area Networks (SD-WANs)", using simple and secure deterministic packet switches (ie low-cost FPGAs). A "Software Defined Networking" (SDN) control-plane uses collaborative AI systems to implement Zero Trust Architectures (ZTAs) and Guaranteed Intrusion Detection Systems (IDSs), to control access to all critical resources. The SD-WANs can support millions of Deterministic Virtual Private Networks (DVPNs).The approach has many benefits: (i) All interference, congestion, and Distributed Denial-of-Service (DDOS) attacks are eliminated; (ii) End-to-end delays are determined by the speed of light in fiber; (iii) The SD-WANs provide hardware support for the US NIST ZTA and Post Quantum Cryptography (PQC); (iv) All communications within a DVPN are encrypted with PQC, and are immune to attacks from Quantum Computers; (v) The expected number of a successful cyber-attacks per year against a nation's critical infrastructure from external cyber-attackers is zero, when using Quantum-Safe ciphers; (vi) Total cost savings are estimated at $100s of Billions USD per year.<br>
</p>
Novel HRV Metrics using Analytic Signal Representation of Interbeat Intervals for New Insights on Cardiac Dynamics
Authors: Pratiher Sawon , Srivastava Apoorva , Acharya Mrinal , Ghosh Nirmalya , patra amit 
Published: April 2023

<p>This work has been submitted to the <em>IEEE</em> Journal of Biomedical and Health Informatics for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. </p>
Application of Kernel Principal Component Analysis for Optical Vector Atomic Magnetometry
Authors: McKelvy James , Novikova Irina , Mikhailov Eugeniy E. , Gonzalez Mario , Fan Isaac , Li Yang , Wang Ying-Ju , Kitching John , Matsko Andrey 
Published: April 2023

<p>An unsupervised machine learning algorithm utilizing nonlinear dimensionality reduction has been developed to interface with spectroscopic measurements from an atomic rubidium optical magnetometer. The magnetometer uses Electromagnetically Induced Transparency (EIT) optical spectroscopy with atomic vapor cells in order to observe magneto-sensitive spin transitions of the 87Rb atom. The Rb EIT measurements result in the observation of seven transmission peaks associated with the available two-photon resonances between the Rb D1 line Zeeman sublevels. The developed algorithm correlates the waveform of the EIT spectra and the directionality of the local magnetic field using kernel principal component analysis (KPCA). The analysis, implemented with a radial basis function (RBF) kernel trick, was found to neatly cluster the EIT spectra according to the direction of the local magnetic field in the reduced dimensional feature space. The KPCA projections demonstrated a smooth curve in a three-dimensional feature space, and the resulting curve was modeled with a support vector regression (SVR) machine. We found that if the direction of the magnetic field is undefined initially, the measurement accuracy is better than 3 degrees in both azimuthal and longitudinal angles with respect to the real direction of the magnetic field. If the magnetometer is configured so that the azimuthal angle of the field is defined, the KPCA- SVR algorithm is capable of predicting the longitudinal angle of the local magnetic field within 1 degree of accuracy. These results suggest that the dimensionality reduction methods may be a powerful tool for approaching regression problems in optical spectroscopy. </p>
Application of Kernel Principal Component Analysis for Optical Vector Atomic Magnetometry
Authors: McKelvy James , Novikova Irina , Mikhailov Eugeniy E. , Gonzalez Mario , Fan Isaac , Li Yang , Wang Ying-Ju , Kitching John , Matsko Andrey 
Published: April 2023

<p> An unsupervised machine learning algorithm utilizing nonlinear dimensionality reduction has been developed to interface with spectroscopic measurements from an atomic rubidium optical magnetometer. The magnetometer uses Electromagnetically Induced Transparency (EIT) optical spectroscopy with atomic vapor cells in order to observe magneto-sensitive spin transitions of the 87Rb atom. The Rb EIT measurements result in the observation of seven transmission peaks associated with the available two-photon resonances between the Rb D1 line Zeeman sublevels. The developed algorithm correlates the waveform of the EIT spectra and the directionality of the local magnetic field using kernel principal component analysis (KPCA). The analysis, implemented with a radial basis function (RBF) kernel trick, was found to neatly cluster the EIT spectra according to the direction of the local magnetic field in the reduced dimensional feature space. The KPCA projections demonstrated a smooth curve in a three-dimensional feature space, and the resulting curve was modeled with a support vector regression (SVR) machine. We found that if the direction of the magnetic field is undefined initially, the measurement accuracy is better than 3 degrees in both azimuthal and longitudinal angles with respect to the real direction of the magnetic field. If the magnetometer is configured so that the azimuthal angle of the field is defined, the KPCA- SVR algorithm is capable of predicting the longitudinal angle of the local magnetic field within 1 degree of accuracy. These results suggest that the dimensionality reduction methods may be a powerful tool for approaching regression problems in optical spectroscopy. </p>