bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptome analysis provides insights into the molecular mechanism of GhSAMDC1 involving in rapid vegetative growth and early flowering in tobacco
Authors: Cheng Xinqi , Pang Fangqin , Tian Wengang , Tang Xinxin , Wu Lan , Hu Xiaoming , Zhu Huaguo 
Published: August 2022

AbstractIn previous study, ectopic expression of GhSAMDC1 improved vegetative growth and early flowering in tobacco, which had been explained through changes of polyamine content, polyamines and flowering relate genes expression. To further disclose the transcript changes of ectopic expression of GhSAMDC1 in tobacco, the leaves from wild type and two transgenic lines at seedling (30 days old), bolting (60 days old) and flowering (90 days old) stages were performed for transcriptome analysis. Compared to wild type, a total of 938 differentially expressed genes (DEGs) were found to be up- or down-regulated in the two transgenic plants. GO and KEGG analysis revealed that tobacco of wild-type and transgenic lines were controlled by a complex gene network, which regulated multiple metabolic pathways. Phytohormone detection indicate GhSAMDC1 affect endogenous phytohormone content, ABA and JA content are remarkably increased in transgenic plants. Furthermore, transcript factor analysis indicated 18 transcript factor families, including stress response, development and flowering related transcript factor families, especially AP2-EREBP, WRKY, HSF and Tify are the most over-represented in those transcript factor families. In conclusion, transcriptome analysis provides insights into the molecular mechanism of GhSAMDC1 involving rapid vegetative growth and early flowering in tobacco.
MFNet: Panoptic segmentation network based on multiscale feature weighted fusion and frequency domain attention mechanism
Authors: Lei Haiwei , He Fangyuan , Jia Bohui , Wu Qian 
Published: August 2022

AbstractExisting panoptic segmentation networks based on multiscale methods do not distinguish shared features according to different scales, which leads to a loss of feature information and suboptimal results. To solve this problem, the authors improve on UPSNet (a unified panoptic segmentation network) by introducing a multiscale fusion module cascaded between layers into the semantic segmentation head of UPSNet. On the one hand, this enriches the feature information for differently scaled features by cascading the feature information of adjacent scales, and on the other hand, the feature information at each scale can be combined adaptively to achieve a better segmentation effect. Furthermore, a frequency domain attention mechanism is introduced into the backbone network of UPSNet to improve the feature extraction ability of the backbone network by learning more frequency domain feature information. The experimental results of the authors’ improved network on the Common Objects in Context (COCO) and Cityscapes data sets show that compared with UPSNet, the performance is significantly improved: the panoptic quality is improved by 0.9% and 1.6%, respectively.
Fetal ECG extraction using a novel polynomial network and non‐linear BSS method
Authors: Wang Lu , Zhao Chunhui 
Published: August 2022

AbstractLong‐term monitoring of fetal heart is vital for early clinical diagnosis and timely treatment of fetus. However, the collected signals from the abdomen of the pregnant woman are always corrupted by many interfering sources, most significantly affected by the maternal electrocardiograph (ECG). Similar with blind source separation (BSS), fetal ECG extraction can be considered as the separation of fetal ECG from the recordings. This letter proposes a novel multi‐layer polynomial network to extract the fetal ECG waveform, where the non‐linear mixing process is approximated with multiple polynomials. The network starts with the first‐order polynomial layer, and further requirements to decrease the error between the output and target signal is achieved by increasing the number of layers. The proposed approach turns the inverse transformation of traditional BSS into a model learning problem, which is then solved by a simple convex optimization algorithm. Compared with the state‐of‐the‐art BSS methods, experimental results show that the proposed method has better performance.
Sphere detector with low complexity Euclidean distance computation based on affine transform modulation
Authors: Gaspar Danilo , Mendes Luciano , Pimenta Tales 
Published: August 2022

AbstractThe foreseen scale of connected autonomous and low power consumption devices in the near future is a challenging aspect for the next generation of mobile communication networks. As the number of available connection resources is limited, frequency‐time multiplexing may not be sufficient to meet the expected demand for capacity, where scheduling solutions might incur in undesired latency levels and also increase the power expenditure to meet a more stringent synchronisation. In this scenario, spatial multiplexing based on multi‐user multiple‐input multiple‐output can extend the uplink capacity at the cost of inter‐antenna interference at the base station, requiring more complex detection schemes. The sphere detector can mitigate the inter‐antenna interference, achieving close‐to‐optimum bit error rate performance with average polynomial complexity that still challenges the field programmable gate array implementation in terms of resources and area. To further reduce the sphere detector complexity, the authors introduce the concept of affine transform modulation, which allows us to describe the received signal in terms of the sequence of transmitted bits per symbol. The authors demonstrate that this approach allows to evaluate the Euclidean distance in the sphere detector algorithm in terms of the transmitted bits, replacing the complex inner product by a complex accumulator in its extensively accessed core function. The approach proposed in this paper leads to a considerable complexity reduction in terms of FLOPs for low‐order modulations while attaining the conventional sphere detector performance.
Physical properties of more than one thousand brightest cluster galaxies detected in the Canada-France-Hawaii Telescope Legacy Survey
Authors: Chu A. , Sarron F. , Durret F. , Márquez I. 
Published: August 2022

Context. Brightest cluster galaxies (BCGs) are very massive elliptical galaxies found at the centres of clusters. Their study gives clues to the formation and evolution of the clusters in which they are embedded.
Aims. We analyse here in a homogeneous way the properties of a sample of more than 1000 BCGs in the redshift range 0.15 <  z <  0.7, based on images from the Canada-France-Hawaii Telescope Legacy Survey.
Methods. Based on a recent catalogue of 1371 clusters, we applied our automatic BCG detection algorithm and successfully identified 70% of the BCGs in our sample. We analysed their 2D photometric properties with GALFIT. We also compared the position angles of the BCG major axes with those of the overall cluster to which they belong.
Results. We find no evolution of the BCG properties with redshift up to z = 0.7, in agreement with previous results by Chu et al. (2021, A&A, 649, A42), who analysed a sample an order of magnitude smaller, but reaching a redshift z = 1.8. The Kormendy relation for BCGs is tight and consistent with that of normal elliptical galaxies and BCGs measured by other authors. The position angles of the BCGs and of the cluster to which they belong agree within 30 degrees for 55% of the objects with well-defined position angles.
Conclusions. The study of this very large sample of more than 1000 BCGs shows that they were mainly formed before z = 0.7 as we find no significant growth for the luminosities and sizes of central galaxies. We discuss the importance of the intracluster light in the interpretation of these results. We highlight the role of image depth in the modelling of the luminosity profiles of BCGs, and give evidence of the presence of an inner structure which can only be resolved on deep surveys with limiting apparent magnitude at 80% completeness m80 >  26 mag arcsec−2.
Alexithymie bei Multipler Sklerose – eine narrative
Übersicht
Authors: Grigorescu Christina , Chalah Moussa A. , Ayache Samar S. , Palm Ulrich 
Published: August 2022

ZusammenfassungAlexithymie ist ein multidimensionales Konstrukt der Persönlichkeit,
welches durch ein nach außen hin orientiertes Denken sowie
Schwierigkeiten bei der Gefühlsbeschreibung und -identifizierung einer
anderen Person gekennzeichnet ist. Obwohl sie bei psychiatrischen Patienten gut
beschrieben ist, wurde ihr Vorkommen und die Pathophysiologie im Zusammenhang
mit der Multiplen Sklerose (MS) erst neuerdings untersucht. In dieser narrativen
Übersichtsarbeit sollen Prävalenzen, Ursachen, neurobiologische
und klinische Befunde dargestellt werden. Die Prävalenz der Alexithymie
in MS reicht von 10 bis 53%. Es scheint Assoziationen mit
Angststörungen, Depressionen, Fatigue und einigen kognitiven Aspekten zu
geben. Die Beziehung zu klinischen und klassischen kognitiven
Variablen/Kriterien ist bislang wenig untersucht. Schlussendlich stellt
eine Arbeit einen pathophysiologischen Bezug dar und diskutiert eine aberrante
interhemisphärische Übertragung. Zusammenfassend zeigt die
Alexithymie bei MS eine negative Auswirkung auf die Lebensqualität,
deshalb stellt das Screening nach ihr einen wichtigen Punkt im
Krankheitsmanagement dar. Ihre Beziehung zu klinischen, emotionalen und
kognitiven Kofaktoren bedarf weiterer Untersuchungen. Größer
angelegte Studien inklusive bildgebender Verfahren sind dringend notwendig, um
ein besseres Verständnis für die neuronalen Mechanismen der
Alexithymie bei MS zu gewinnen.
Chronic Limb Ischemia due to Thrombosis of an Aneurysmal Degeneration of the Autogenous Vein Graft: A Case Report
Authors: Papageorgopoulou Chrysanthi P. , Nikolakopoulos Konstantinos M. , Ntouvas Ioannis G. , Papadoulas Spyros 
Published: August 2022

AbstractNonanastomotic aneurysmal degeneration of a great saphenous vein graft is an unusual condition, despite the common use of this conduit in arterial reconstructions. Vein grafts are at risk of degenerative changes, but the real cause remains unknown. Postoperative graft surveillance with duplex ultrasound scanning is important for maintaining patency of the venous graft. We present a rare case of chronic limb ischemia due to partial thrombosis of an aneurysm of the great saphenous vein graft.
Community Screening of Probable Dementia at Primary Care Center in Western India: A Pilot Project
Authors: Dhikav Vikas , Jadeja Bhargavi , Gupta Pooja 
Published: August 2022

AbstractIntroduction Timely detecting dementia is an important goal of clinicians and public health professionals alike for better management and prevention of complications. Community screening of dementia could be a powerful strategy. Facilities for dementia screening at primary care level are virtually nonexistent and are a prominent implementation gap. Hence, a study was done to assess the feasibility of dementia screening at primary care using General Practitioner Assessment of Cognition (GPCoG) scale among older adults with subjective memory complaints. It was further aimed to assess the frequency of cardiovascular risk factors in those who met screening criteria for cognitive impairment.Materials and Methods Older adults coming to three urban primary care centers in western India for screening of noncommunicable diseases such as diabetes and hypertension (opportunistic screening) with subjective memory complaints were enrolled and screened for dementia using GPCoG. A Mini-Mental State Examination (MMSE) was done in patients who came alone for referral purpose in case the score levels in GPCoG examination met cutoff limits for informant interview. Written medical records were examined to assess status of comorbid vascular risk factors such as diabetes, hypertension, coronary artery disease, and cerebrovascular accidents.Results A total of 350 older adults (M:F = 276: 74; mean age ± 68 ± 6.7 years) were screened out of 3,000 older adults who reported during the study period. There were 161 older adults with GPCoG score less than or equal to 5 (56.14%) and 149 subjects with MMSE less than or equal to 24 indicating significant cognitive impairment (42.5%). There were very few (n = 11, 3.14%) out of 350 people who came with caregivers; hence, MMSE was done along with for referral to healthcare providers. A total of 142 had comorbid diabetes/and or hypertension (40.5%). A total of 86 had diabetes alone (24.5%) and a total of 128 had hypertension (36.5%).Conclusion Current study results indicate that using a simple screening tool such as GPCoG, community screening of probable dementia, is feasible in primary care settings, as is indicated by significant yield of probable dementia cases (42.5%). These cases can be referred to appropriate centers for further workup, confirmation of diagnosis, and treatment. Also, detection of comorbid cardiovascular conditions, for example, diabetes and hypertension, that can be managed along with cognitive impairment/dementia for potential prevention/further deterioration, which can strengthen noncommunicable disease screening.
A model for the prediction of the shielding effectiveness of cylindrical enclosure
Authors: Chen Kaibai , Gao Min , Zhou Xiaodong 
Published: August 2022

This paper presents a model to predict the shielding effectiveness (SE) and resonant modes of cylindrical enclosure with apertures or dielectric substrate. In this model, the Robinson equivalent circuit model (RECM) is introduced to deal with aperture impedance, and the extended form of the Baum–Liu–Tesche equation is deduced to calculate the induced voltage in the enclosure. The electromagnetic topology (EMT) model is established to analyze the process of energy transmission inside the enclosure. The energy propagation coefficient matrix and the scattering coefficient matrix are calculated to deal with the SE results of the observation point. To quantify the efficiency of the proposed model, the calculation results are compared with the full-wave transmission line matrix method (TLM) and RECM through the Fréchet distance. The comparison results show that the accuracy of the proposed model is better over a wide frequency range compared with RECM, and meanwhile, it consumes less run time and fewer CPU resources than traditional numerical methods. The validity of the presented model is verified by TLM.
Nanocarbon ohmic electrodes fabricated by coaxial arc plasma deposition for phosphorus-doped diamond electronics application
Authors: Valappil Sreenath Mylo , Ohmagari Shinya , Zkria Abdelrahman , Sittimart Phongsaphak , Abubakr Eslam , Kato Hiromitsu , Yoshitake Tsuyoshi 
Published: August 2022

n-Type (phosphorus-doped) diamond is a promising material for diamond-based electronic devices. However, realizing good ohmic contacts for phosphorus-doped diamonds limits their applications. Thus, the search for non-conventional ohmic contacts has become a hot topic for many researchers. In this work, nanocarbon ohmic electrodes with enhanced carrier collection efficiency were deposited by coaxial arc plasma deposition. The fabricated nanocarbon ohmic electrodes were extensively examined in terms of specific contact resistance and corrosion resistance. The circular transmission line model theory was used to estimate the charge collection efficiency of the nanocarbon ohmic electrodes in terms of specific contact resistance at a specific voltage range (5–10 V); they exhibited a specific contact resistance of 1 × 10−3 Ωcm2. The result revealed one order reduction in the specific contact resistance and, consequently, a potential drop at the diamond/electrode interface compared to the conventional Ti electrodes. Moreover, the fabricated nanocarbon electrodes exhibited high mechanical adhesion and chemical inertness over repeated acid treatments. In device applications, the nanocarbon electrodes were evaluated for Ni/n-type diamond Schottky diodes, and they exhibited nearly one order enhancement in the rectification ratio and a fast charge collection at lower biasing voltages.
High bandwidth frequency modulation of an external cavity diode laser using an intracavity lithium niobate electro-optic modulator as output coupler
Authors: Palmer S. , Boes A. , Ren G. , Nguyen T. G. , Tempone-Wiltshire S. J. , Longhurst N. , Farrell P. M. , Steiner A. , Marciniak Ch. D. , Monz T. , Mitchell A. , Scholten R. E. 
Published: August 2022

We present a novel approach to high bandwidth laser frequency modulation. A lithium niobate chip is used as an intracavity electro-optic modulator in a tunable cateye external cavity diode laser. The modulator is conveniently integrated with the cateye output coupler, providing a unique approach to high bandwidth frequency stabilization and linewidth narrowing. The intracavity modulator feedback was successfully operated below 1 V and achieved superior frequency noise suppression compared to conventional feedback through diode injection current modulation. A closed loop bandwidth of 1.8 MHz was demonstrated, and the laser linewidth reduced to around 1 Hz as measured by the heterodyne measurement.
Identification of quantitative trait loci governing biosynthesis of phospholipids in soybean
Authors: Anshu Aseem Kumar , Kumar Vineet , Rani Anita , Tayalkar Trupti , Parmar Hamendra Singh 
Published: August 2022

Context Soybeans (Glycine max. (L.) Merr.) are a major source of phospholipids, which are vital to human and animal nutrition, as well having many pharmaceutical and industrial applications. Identification of quantitative trait loci (QTLs) is a prerequisite for the development of high-phospholipid soybean genotypes through marker-assisted breeding. Aims We aimed to identify QTLs associated with biosynthesis of four phospholipids in soybean. Methods We developed two F2 populations comprising 233 and 254 plants, respectively, from two crosses (JS20-34 × AVKS215 and JS20-98 × AVKS215), and used 208 polymorphic simple sequence repeat markers found common to both F2 populations for linkage map construction. QTLs associated with four phospholipids, phosphatidylethanolamine (PE), phosphatidic acid (PA), phosphatidylinositol (PI) and phosphatidylcholine (PC), were analysed via inclusive composite interval mapping of additive QTLs using QTL IciMapping software. Key results In the respective F2 populations, we identified seven and six QTLs for PE, seven and nine QTLs for PA, and nine and eight QTLs for PC. Six QTLs were associated with PI in each population. Five QTLs for each of PA and PC, three QTLs for PE, and four QTLs for PI were found common to both F2 populations. Conclusions The results showed that some genomic regions such as Sat_341–Satt331 on chromosome 10, and Satt325–Sat_387 and Sat_229–Satt510 on chromosome 13, were associated with all four phospholipids in both F2 populations. QTLs associated with phospholipids were also found to be annotated with genes involved in phospholipid biosynthesis. Implications The QTLs identified may be useful in marker-assisted breeding for the development of soybean genotypes with high levels of phospholipids of interest and for identifying functional genes involved in phospholipid biosynthesis.
Recombinant rumen bacteria: problems and opportunities.
Authors: Kobayashi Y. 
Published: August 2022

Abstract

Gene manipulation of rumen bacteria was initiated in the early 1980s with most of the effort primarily focused on developing plasmid vectors. From the 1990s, more functional (fibrolytic, essential amino acid-producing or detoxifying) rumen bacteria were produced using stable and efficient host vector systems, all of which were based on the sophisticated DNA and protein engineering techniques that had been developed in the preceding decade. However, the recombinants often suffered from poor settlement in the rumen when inoculated, showing rapid decreases in abundance within hours or a few days. However, a mixture of four recombinants, each exhibiting detoxifying enzyme activity, was settled in the rumen of sheep at a level up to 10
7
/ml. This level was high enough to degrade the toxic monofluoroacetate offered in the diet, making the sheep tolerant to the toxin. This success demonstrated the potential of using recombinants and suggested strategies for successfully settling recombinants in the rumen. In addition to promoting animal health and production, the gene cloning system for rumen bacteria may be used to clone genes and produce proteins that, to date, can not be cloned and expressed in an
Escherichia coli
system. This review describes (i) the methodology of gene manipulation; (ii) recombinant rumen bacteria obtained so far; (iii) fate of recombinants inoculated in the rumen; and (iv) perspectives and problems in current and future applications.
Realizing economic and environmental gains from cultivated forages and feed reserves in Ethiopia
Authors: Dey Bhramar , Notenbaert An , Makkar Harinder , Mwendia Solomon , Sahlu Yonas , Peters Michael 
Published: August 2022

Abstract
The livestock sector in Ethiopia is characterized by low productivity due to inadequate supply of affordable high-quality animal feed year-round, with more acute gaps in the drought-prone regions of the country. This paper presents the economic benefits and insights into the role of cultivated forages, such as densification into pellets, in bridging gaps in feed supply. Nutrient requirement calculations for feedlot and dairy animals and meeting those requirements using cultivated forage-based diets are presented. However, forage crops need a viable forage seed supply system to assure access to quality assured seeds. This study thus explores the role of forage seed systems and presents intervention areas for Ethiopia.
Results suggest diets containing greater than 85% cultivated forages can sustain daily body weight gain up to 1 kg in growing animals. The costs of nutrients from cultivated forages are up to 15-fold lower than those from conventional feed resources. The diets based on pelleted cultivated forages decrease costs of feeding animals during a 100-day drought period by 4-fold, fattening animals by 2.3-fold, and cost of feed for milk production by 4-fold. Utilization of cultivated forages could reduce methane emissions with abatement value between $165 and $240 USD per 1000 kg of body weight gain in the fattening sector. For the dairy sector, the abatement value would range from $1350 to $2400 USD per million liters of milk production. For the drought period of 120 days, the value of methane reductions would be between $5500 and $11,400 USD per 1000 animals.
A perspective review on the effect of different forms of zinc on poultry production of poultry with special reference to the hazardous effects of misuse
Authors: Abd El-Ghany Wafaa A. 
Published: August 2022

AbstractZinc (Zn) is a unique micro-mineral because it is an essential component in many enzymes such as superoxide dismutase, carbonic anhydrase, and alkaline phosphatase, as well as being important for regulation of proteins and lipids metabolism, and sex hormones. This mineral is applied in poultry production in three forms; inorganic, organic, and nanoparticle form. The nano-form of Zn is preferable in application to other conventional forms with regard to absorption, bioavailability, and efficacy. Broilers fed on diets supplemented with Zn showed improvement of growth performance, carcass meat yield, and meat quality. In addition, Zn plays an important role in enhancing of both cellular and humeral immune responses, beside its antimicrobial and antioxidant activities. In laying hens, dietary addition of Zn improves the eggshell quality and the quantity of eggs. Moreover, Zn has a vital role in breeders in terms of improving the egg production, fertility, hatchability, embryonic development, and availability of the hatched chicks. Therefore, this review article is focused on the effects of using Zn on the performance and immunity of poultry, as well as its antimicrobial and antioxidant properties with special reference to the hazardous effects of the misusing of this mineral.