bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intra-individual variation of hen movements is associated with later keel bone fractures in a quasi-commercial aviary
Authors: Montalcini Camille M. , Toscano Michael J. , Gebhardt-Henrich Sabine G. , Petelle Matthew B. 
Published: February 2023

AbstractMeasuring intra- and inter-individual variation in movement can bring important insights into the fundamental ecology of animals and their welfare. Although previous studies identified consistent differences in movements of laying hens within commercial aviaries, the level of consistency was not quantified, limiting our capacity to understand the importance of individual movements for welfare. We aimed to quantify the scope of intra- and inter-individual differences in movements of commercial laying hens and examined their associations with indicators of welfare at the end of production. We quantified individual differences in one composite daily movement score for 80 hens over 54 days post-transfer to a quasi-commercial aviary. Results showed consistent inter-individual differences in movement averages, explaining 44% of the variation, as well as individual variation in predictability and temporal plasticity (at the population-level, hens increased their movements for 39 days). Hens that were more predictable in their daily movements had more severe keel bone fractures at the end of production while we found no such correlation between daily movement averages (individual intercept) and welfare indicators. Our findings highlight the importance of inter-individual difference in intra-individual variation of movements to improve poultry welfare.
Whole genome sequence analysis of the first reported isolate of Salmonella Agona carrying blaCTX-M-55 gene in Brazil
Authors: de Jesus Bertani Amanda Maria , Vieira Thais , Reis Alex Domingos , dos Santos Carla Adriana , de Almeida Elisabete Aparecida , Camargo Carlos Henrique , Casas Monique Ribeiro Tiba 
Published: February 2023

AbstractThis study analyzes the genomic findings of the first report of Salmonella isolate carrying the blaCTX-M-55 gene, recovered from a bacteremic patient from Brazil. A bacterial isolate positive for the blaCTX-M-55 gene was submitted to antimicrobial susceptibility testing by disk diffusion and epsilometric test. Whole genome sequencing was performed using Illumina technology. Conjugation assay was performed; plasmid sizes determined by S1-PFGE and plasmid content were investigated by hybrid assembly after MinION long reads sequencing. Isolate 288_18 was identified as sequence type ST13, resistant to ampicillin, cefotaxime, ceftazidime, cefepime, ceftriaxone, and aztreonam. A transferable IncFII plasmid sized approximately 67 kb was found to carry the blaTEM-1 and blaCTX-M-55 in a module consisting of IS26-blaTEM-1B-WbuC-blaCTX-M-55-IS26. In addition, an 117 kb IncI1plasmid was also identified in the 288_18 isolate, but without additional resistance genes. To the best of our knowledge, this is the first report of blaCTX-M-55 in Salmonella isolated from human infection in Brazil. The occurrence of blaCTX-M-55 in the IncFII epidemic plasmid in a relevant clinical human isolate of Salmonella Agona underscores the urgent need for enhanced and effective continuous surveillance for controlling its dissemination.
Versatile clinical movement analysis using statistical parametric mapping in MovementRx
Authors: Alhossary Amr , Pataky Todd , Ang Wei Tech , Chua Karen Sui Geok , Kwong Wai Hang , Donnelly Cyril John 
Published: February 2023

AbstractClinical gait analysis is an important biomechanics field that is often influenced by subjectivity in time-varying analysis leading to type I and II errors. Statistical Parametric Mapping can operate on all time-varying joint dynamics simultaneously, thereby overcoming subjectivity errors. We present MovementRx, the first gait analysis modelling application that correctly models the deviations of joints kinematics and kinetics both in 3 and 1 degrees of freedom; presented with easy-to-understand color maps for clinicians with limited statistical training. MovementRx is a python-based versatile GUI-enabled movement analysis decision support system, that provides a holistic view of all lower limb joints fundamental to the kinematic/kinetic chain related to functional gait. The user can cascade the view from single 3D multivariate result down to specific single joint individual 1D scalar movement component in a simple, coherent, objective, and visually intuitive manner. We highlight MovementRx benefit by presenting a case-study of a right knee osteoarthritis (OA) patient with otherwise undetected postintervention contralateral OA predisposition. MovementRx detected elevated frontal plane moments of the patient’s unaffected knee. The patient also revealed a surprising adverse compensation to the contralateral limb.
Review and analysis of deep neural network models for Alzheimer's disease classification using brain medical resonance imaging
Authors: Pallawi Shruti , Singh Dushyant Kumar 
Published: February 2023

AbstractAlzheimer's disease is a type of progressive neurological disorder which is irreversible and the patient suffers from severe memory loss. This disease is the seventh largest cause of death across the globe. As yet there is no cure for this disease, the only way to control it is its early diagnosis. Deep Learning techniques are mostly preferred in classification tasks because of their high accuracy over a large dataset. The main focus of this paper is on fine‐tuning and evaluating the Deep Convolutional Networks for Alzheimer's disease classification. An empirical analysis of various deep learning‐based neural network models has been done. The architectures evaluation includes InceptionV3, ResNet with 50 layers and 101 layers and DenseNet with 169 layers. The dataset has been taken from Kaggle which is publicly available and comprises of four classes which represents the various stages of Alzheimer's disease. In our experiment, the accuracy of DenseNet consistently improved with the increase in the number of epochs resulting in a 99.94% testing accuracy score better than the rest of the architectures. Although the results obtained are satisfactory, but for future research, we can apply transfer learning on other deep models like Inception V4, AlexNet etc., to increase accuracy and decrease computational time. Also, in future we can work on other datasets like ADNI or OASIS and use Positron emitted tomography, diffusion tensor imaging neuroimages and their combinations for better result.
Compliant‐based robotic 3D bin packing with unavoidable uncertainties
Authors: Shuai Wei , Gao Yang , Wu Peichen , Cui Guowei , Zhuang Qinghao , Chen Rongya , Chen Xiaoping 
Published: February 2023

AbstractRobotic 3D bin packing (R‐3dBPP), aiming to place deformed cases in various sizes in the container without fences, is a comprehensive application that includes perception, planning, execution, and hardware design. Traditional studies assume that the context of the real space must be accurately perceived and represented. However, disjunctions between the planner and reality are unavoidable in R‐3dBPP, especially with low‐cost sensors. As far as the author knows, there is no practical solution. In this paper, the above assumption is discarded and the typical types of uncertainties prevalent to guide the design of the algorithms are formulated. A new online bin‐packing algorithm is proposed, keeping deformed boxes stacked in close contact with each other, so that the whole pallet is kept stable by friction between the boxes and the container. In order to meet the requirement of close contact under the non‐negligible errors from sensors and planners, a compliant‐based motion planning system is introduced. It replaces the precision‐based feedback with a compliant end‐effector and accompanying motion strategies. Last but not least, a complete online bin‐packing robot system is developed and the system's performance under the influence of the uncertainties mentioned above through simulation and physical experiments is evaluated.
Novel green synthesis of tin nanoparticles by medicinal plant: Chemical characterization and determination of cytotoxicity, cutaneous wound healing and antioxidant properties
Authors: Shu Miaoqing , Mahdavi Behnam , Balčiūnaitienė Aiste , Goorani Samaneh , Mahdavi Amir Ali 
Published: February 2023

AbstractIn the present study, tin nanoparticles were green‐synthesized using the aqueous extract of Foeniculum vulgare leaf aqueous extract. The synthesized SnNPs (tin nanoparticles) were characterized by analytical techniques including EDX (energy dispersive X‐ray), FE‐SEM (field emission scanning electron microscopy), XRD (X‐ray diffraction), UV–vis and FT‐IR (Fourier transform‐infrared). The cytotoxicity activity of SnNPs was evaluated using MTT (3‐[4,5‐dimethylthiazol‐2‐yl]‐2,5 diphenyl tetrazolium bromide) assay. The nanoparticles were formed in a spherical shape in the range size of 26.45–38.53 nm. In the antioxidant test, the IC50 of F. vulgare, SnNPs@FV (Sn nanoparticles@ F. vulgare) and BHT (butylated hydroxytoluene) against DPPH (2,2‐diphenyl‐1‐picrylhydrazyl) free radicals were 384, 119 and 71 µg/mL, respectively. In the cellular and molecular part of the recent study, the treated cells with SnNPs@FV were assessed by MTT assay for 48h about the cytotoxicity property on normal HUVEC (human umbilical vein endothelial cells) cell line. In vivo experiment, SnNPs@FV ointment significantly decreased (p ≤ 0.01) the wound area, total cells, neutrophil and lymphocyte and notably increased (p ≤ 0.01) the wound contracture, vessel, hydroxyl proline, hexosamine, hexuronic acid and fibrocyte compared to other groups in rats. Further clinical trials are necessary for confirmation of these remedial properties of SnNPs@FV in humans.
Online path planning of cooperative mobile robots in unknown environments using improved Q‐Learning and adaptive artificial potential field
Authors: Ataollahi Melika , Farrokhi Mohammad 
Published: February 2023

AbstractOnline path planning in unknown environments with obstacles is a challenging issue in mobile robot systems. Cooperative mobile robots have received much attention in recent years due to their robustness and ability to perform more complex tasks and operations faster. In this article, by unifying the Dyna Q‐learning and a novel concept (introduced as a feature matrix) an improved Q‐learning is proposed that accelerates the learning process even with poor choice of parameters. In addition, to overcoming the local minima, an adaptive artificial potential field method is developed, so that two parameters of the new concept named the virtual obstacle are controlled using the massachusetts institute of technology (MIT) method to navigate the mobile robot in the proper direction. Then, with proper utilizing of the improved Q‐learning and adaptive artificial potential field method, the path planning is performed online effectively while target tracking and collision avoidance are guaranteed. Finally, the performance of the proposed method is tested on decentralized cooperative mobile robots. The simulation results showed optimal path planning in terms of the distance in an unknown environment and collision avoidance with the obstacles. In addition, getting out of the local minima (i.e. immobility) is guaranteed in all situations.
Active power balance capability of security and stability control system (SSCS) against outage of UHVDC
Authors: Li Shenghu , Yan Yunsong , Ren Jianfeng , Han Wei 
Published: February 2023

AbstractThe aim of the security and stability control system (SSCS) is to maintain active power balance and frequency stability. For large SSCS, it is difficult to find the state space and the transition rates of the paths. The flat design yields more complex topology. Considering the random outages, the ultra‐high‐voltage dc (UHVDC) has more capacity levels and states. The existing evaluation cannot quantify the power balance capability of the SSCS. This paper newly quantifies active power balance capability of the multi‐level SSCS with partial or complete outage of the UHVDC. An incidence matrix is proposed to describe the topology of the SSCS. A recursive solution to calculate the transition rates is proposed. The equivalent downward transition rate is newly defined. The increasable generation and the transition rates of the UHVDC at any initial state are newly included. The numerical analysis shows that the incidence matrix and recursive algorithm reduces the calculation effort for the practical SSCS with multi‐level, redundancy component, and flat design. The active power balance capability of the SSCS is decided by the increasable power, the reduced generation and the downward transition rate.
Schematherapie mit Schafen: Tiergestützte Intervention in der
schematherapeutischen, psychiatrischen Suchtbehandlung
Authors: Schmid Petra , Nauss Carmen , Uhlmann Carmen 
Published: February 2023

Zusammenfassung
Ziel der Studie Abhängigkeitserkrankungen werden unter anderem
schematherapeutisch behandelt. Es stellt sich die Frage, ob
tiergestützte Interventionen die Effekte verbessern können.
Methodik Während einer stationären psychiatrischen
Suchtbehandlung mit schematherapeutischem Schwerpunkt wurde eine
tiergestützte Intervention mit Schafen durchgeführt. Eine
Kasuistik wird vorgestellt.
Ergebnisse Das individuelle Modusmodell der vorgestellten Patientin weist
nach der Intervention deutliche Veränderungen hin zu einer
Stärkung des gesunden Erwachsenenmodus und fröhlichen Kindmodus
und einer Reduktion der dysfunktionalen Modi auf.
Schlussfolgerung Die tiergestützte Intervention, eingebettet in
einen schematherapeutischen Kontext, wurde bei dieser Patientin als gut
umsetzbar sowie beeindruckend wirkungsvoll hinsichtlich einer Modifikation des
Modusmodells erlebt.
Die Aggressive Fibromatose. Eine retrospektive Analyse von 110
Patienten
Authors: Lehnhardt Marcus , Weskamp Pia , Sogorski Alexander , Reinkemeier Felix , von Glinski Maxi , Behr Björn , Harati Kamran 
Published: February 2023

ZusammenfassungDie aggressive Fibromatose, histologisch aufgrund der ausbleibenden
Metastasierung als benigne klassifiziert, ist charakterisiert durch ein lokal
invasives und destruierendes Wachstum mit hohen Rezidivraten nach der Resektion.
Aus diesem Grund sind prognostische Rezidivfaktoren, insbesondere das
Ausmaß der Resektion viel diskutiert und Therapieentscheidungen
herausfordernd für interdisziplinäre Tumorkonferenzen. Zwischen
den Jahren 2000–2020 wurden 110 Patienten mit einer aggressiven
Fibromatose der Extremitäten oder des Körperstamms am BG
Universitätsklinikum Bergmannsheil Bochum chirurgisch behandelt. Zur
Aufdeckung potenzieller Prognosefaktoren für die lokale Kontrolle wurden
univariate Analysen durchgeführt. Die mediane Nachbeobachtungszeit war
5,9 Jahre. Insgesamt entwickelten 57 (51,8%) der nachuntersuchten
Patienten in diesem Zeitraum ein Rezidiv. Das rezidivfreie
5-Jahresüberleben lag in der gesamten Kohorte bei 52,9%
(95%-KI: 42,4–62,3). Bei R0-resezierten Patienten war das
rezidivfreie Überleben (RFÜ) nach 5 Jahren mit 69,2% im
Vergleich zu Patienten mit R1- oder R2 resezierten Tumoren (32,6%)
signifikant besser (P<0,001). Darüber hinaus konnten keine
weiteren signifikanten Einflussfaktoren ausgemacht werden. Die Ergebnisse der
vorliegenden Studie zeigen, dass eine R0-Resektion bzw. eine
R0-Resektabilität des Primärtumors mit einer signifikant
besseren lokalen Kontrolle assoziiert ist. Die Therapieempfehlung zur Resektion
sollte hierbei durch ein interdisziplinäres Tumorboard individuell nach
Prüfung der Tumorprogression, möglicher Therapiealternativen und
absehbarer Funktionsbeeinträchtigungen getroffen werden.
Pulmonale Hypertonie – Update Diagnostik und Screening
Authors: Richter Manuel , Tello Khodr 
Published: February 2023

ZusammenfassungDie pulmonale Hypertonie (PH) ist eine multifaktorielle pulmonalvaskuläre Erkrankung. Bei Patienten mit Belastungsdyspnoe sollte an eine PH als seltene Differenzialdiagnose gedacht werden.
Im klinischen Alltag ist die wichtigste Screeningmethode die Echokardiografie. Zentral zur Stellung der Verdachtsdiagnose ist die Bestimmung der maximalen Geschwindigkeit des
Regurgitationsjets über der Trikuspidalklappe. Zusätzlich berücksichtigt werden sollten weitere echokardiografische PH-Zeichen wie die Dilatation des rechten Vorhofs oder des Ventrikels. Die
Diagnose einer pulmonalen Hypertonie kann abschließend nur im Rechtsherzkatheter gestellt werden. In den neuesten Leitlinien wurde die hämodynamische Definition der PH verändert. Der
mittlere pulmonalarterielle Druck zur Diagnosestellung einer PH wurde aktuell auf > 20 mmHg gesenkt. Gerade im Hinblick auf die neue hämodynamische Definition ist die sorgfältige
Diagnosestellung in einem erfahrenen PH-Zentrum entscheidend.
Comparison of Three Eradication Treatment Protocols for Pseudomonas
Aeruginosa in Children and Adolescents with Cystic Fibrosis
Authors: Schütz Katharina , Grewendorf Simon , Kontsendorn Julia , Fuge Jan , Happle Christine , Rudolf Isa , Dopfer Christian , Sedlacek Ludwig , Hansen Gesine , Junge Sibylle , Dittrich Anna-Maria 
Published: February 2023

Abstract
Background Pseudomonas aeruginosa (Pa) continues to affect disease
progression in cystic fibrosis (CF). However, the best eradication regimen
remains unclear. This work compares three different antibiotic eradication
regimens in pediatric CF: an administration according to a standard-operating
procedure (SOP) order vs. administration outside of this order (ooSOP).
Methods This observational study includes all CF patients<18 years
who received one of three Pa eradication treatments in the past eight years at
our center: 1) inhaled high-dose tobramycin (Hi-TOBI), 2) inhaled
colistin+oral ciprofloxacin (COL/Cip), 3) inhaled low-dose
tobramycin+4 intravenous 14-day Pa active antibiotic treatments
(lo-Tobra/IV). We compared eradication rates of the three treatment
regimens performed according to the SOP-based order vs. ooSOP. Logistic
regression analysis was performed to identify risk factors for eradication
failure.
Results Performed according to SOP order, Hi-TOBI showed the greatest
efficacy, followed by lo-Tobra/IV and finally COL/Cip, while
ooSOP lo-Tobra/IV was most successful, followed by COL/Cip and
Hi-TOBI. Previous Pa-infections and Pa-therapies along with age at CF diagnosis
were risk factors for eradication failure.
Conclusion Antibiotic treatment in SOP-based pre-defined order leads to
significantly better eradication rates than individual modifications of the
order of administration. A short course of inhalational high-dose Tobramycin is
most successful at the first attempt. Prolonged antibiotic therapy seems to
improve eradication after failed initial attempts.
Erythrosine B Catalyzed Synthesis of trans-Dihydro-4H-furo[3,2-c]chromen-4-ones through Photocatalytic Dehydrogenative sp
3 C–O Bond Formation
Authors: Bagdi Avik Kumar , Das Sourav , Paul Suvam , Choudhuri Tathagata , Sikdar Papiya 
Published: February 2023

AbstractA simple and efficient visible-light-induced methodology has been developed for the selective synthesis of dihydro-4H-furo[3,2-c]chromen-4-one derivatives via dehydrogenative coupling reaction. The methodology is highly useful for the synthesis of varieties of dihydro-4H-furo[3,2-c]chromen-4-ones from readily accessible reactants under oxygen atmosphere. Importantly, the additive-free approach has been also demonstrated for this transformation. The results of the mechanistic investigation showed that this dehydrogenative reaction proceeded through a radical pathway. Additionally, the synthesized dihydro-4H-furo[3,2-c]chromen-4-one has been transformed into different 4H-furo[3,2-c]chromen-4-ones through simple protocols.
The atmospheric X-ray imaging spectrometer (AXIS) instrument: Quantifying energetic particle precipitation through bremsstrahlung X-ray imaging
Authors: Berland G. D. , Marshall R. A. , Martin C. , Buescher J. , Kohnert R. A. , Boyajian S. , Cully C. M. , McCarthy M. P. , Xu W. 
Published: February 2023

The Atmospheric X-ray Imaging Spectrometer (AXIS) described in this work is a compact, wide field-of-view, hard x-ray imager. The AXIS instrument will fly onboard the Atmospheric Effects of Precipitation through Energetic X-rays (AEPEX) 6U CubeSat mission and will measure bremsstrahlung x-ray photons in the 50–240 keV range with cadmium–zinc–telluride (CZT) detectors using coded aperture optics. AXIS will measure photons generated by energetic particle precipitation for the purpose of determining the spatial scales of precipitation and estimating electron precipitation characteristics. This paper describes the design and testing of the AXIS instrument, including a summary of simulations performed that motivate the shielding, optics, and mechanical design. Testing and characterization is reported that validates the instrument design and shows that the instrument design meets or exceeds the measurement requirements necessary for AEPEX mission success.
Classical density functional theory for interfacial properties of hydrogen, helium, deuterium, neon, and their mixtures
Authors: Hammer Morten , Bauer Gernot , Stierle Rolf , Gross Joachim , Wilhelmsen Øivind 
Published: February 2023

We present a classical density functional theory (DFT) for fluid mixtures that is based on a third-order thermodynamic perturbation theory of Feynman-Hibbs-corrected Mie potentials. The DFT is developed to study the interfacial properties of hydrogen, helium, neon, deuterium, and their mixtures, i.e., fluids that are strongly influenced by quantum effects at low temperatures. White Bear fundamental measure theory is used for the hard-sphere contribution of the Helmholtz energy functional, and a weighted density approximation is used for the dispersion contribution. For mixtures, a contribution is included to account for non-additivity in the Lorentz–Berthelot combination rule. Predictions of the radial distribution function from DFT are in excellent agreement with results from molecular simulations, both for pure components and mixtures. Above the normal boiling point and 5% below the critical temperature, the DFT yields surface tensions of neon, hydrogen, and deuterium with average deviations from experiments of 7.5%, 4.4%, and 1.8%, respectively. The surface tensions of hydrogen/deuterium, para-hydrogen/helium, deuterium/helium, and hydrogen/neon mixtures are reproduced with a mean absolute error of 5.4%, 8.1%, 1.3%, and 7.5%, respectively. The surface tensions are predicted with an excellent accuracy at temperatures above 20 K. The poor accuracy below 20 K is due to the inability of Feynman–Hibbs-corrected Mie potentials to represent the real fluid behavior at these conditions, motivating the development of new intermolecular potentials. This DFT can be leveraged in the future to study confined fluids and assess the performance of porous materials for hydrogen storage and transport.