bluuebunny/crossref_metadata_2025_split huggingface dataset:
Highly accurate quantum optimization algorithm for CT image reconstructions based on sinogram patterns
Authors: Jun Kyungtaek 
Published: July 2022

Abstract

Computed tomography has been developed as a non-destructive technique for observing internal images of samples. It was difficult to obtain a clean CT image due to various artifacts generated during scanning and limitations of backprojection algorithms. Recently, an iterative optimization algorithm has been developed that uses the entire sinogram to make small errors in various artifacts. In this paper, we introduce a method of representing CT images using a combination of qubits. The undetermined CT image can obtain a sinogram represented by a combination of qubits through Radon transform. An energy-optimized model that can be computed on quantum computers finds a combination of qubits that minimizes the difference between the positions of the two sinograms. Finally, the determined qubit combination can represent the internal structure of a sample by energy optimization. We tested new algorithm with a small image sample in a quantum annealer D-Wave 2000Q and a simulator for the gated model quantum computer.
Mitral valve replacement for antiphospholipid syndrome complicated by cerebral infarction and mitral valve thrombosis: A case report
Authors: Hiraga Shun , Hayata Yoshihiro , Hirose Tomoaki , Fukuba Ryohei , Takemura Junichi , Tonomura Rei , Tamada Sayaka , Mitani Kazuhiro , Hanakawa Masaya , Yokoyama Shinya 
Published: July 2022

Abstract
Background: Antiphospholipid syndrome (APS) is an autoimmune disease that causes arteriovenous thrombosis and death. Valvular heart disease is one of its symptoms. Recurrent cerebral infarction caused by valvular heart disease is an indication for surgery; however, standard treatment, including perioperative anticoagulation, has not yet been established, and surgical mortality is high.Case presentation: A 41-year-old man had a cerebral infarction six years ago and was positive for antiphospholipid antibodies and lupus anticoagulants. He was diagnosed with primary APS and treated with anticoagulation therapy with warfarin. He had another episode of cerebral infarction four months ago. Transesophageal echocardiography revealed a mass attached to the mitral valve. He underwent steroid therapy and was continued on anticoagulant therapy; however, the mass did not shrink, and surgery was performed. Intraoperative rapid histopathology showed that the mass was an old thrombus, and because of the high degree of mitral valve degeneration, we considered that regurgitation control by the valve platy was difficult. Mitral valve replacement was performed using an On-X mechanical valve. Intraoperatively, the activated clotting time was measured every 30 minutes, and no tendency for thrombus formation was observed. He was continued on warfarin therapy after the surgery and did not experience any recurrence of thromboembolism after two years of surgery. Conclusions: We encountered a patient with APS, recurrent cerebral infarction, and mitral valve thrombus who underwent mitral valve replacement and continued postoperative anticoagulation therapy without recurrence of thromboembolism.
Gigantic photostriction effect in monolayer semiconductors
Authors: Tseng Robert , Wahyudin Erlin , Yeh Willie , Xue Fei , Lien Der-Hsien , He Jr-Hau 
Published: July 2022

Abstract
Photostrictive materials that can reversibly change their structures in response to optical stimuli constitute an important class of functional smart materials and provide a mechanism for the micro-electromechanical systems. In this study, we show that monolayer WSe2 exhibits strong photostriction effect, a phenomenon where strain in materials can be induced by light irradiation. The photostriction in monolayer WSe2 can be as high as 2.5% under a light illumination of 7.7×106 mW cm-2, exhibiting the highest photostrictive coefficient among other semiconductor materials. Unlike the other non-polar materials, monolayer WSe2 shows gigantic light-induced strain at room temperature, and the deformation is reversible as the irradiation is turned off. We also observed that the photostrictive effect is pronounced in the monolayer but weak in the bilayer and few-layer WSe2. The pronounced gigantic photostriction in the monolayer is attributed to a combination of photovoltaic and inverse piezoelectric effects. This study opens up new applications of monolayer WSe2 for nano-opto-electro-mechanical platforms such as photo-actuators, nanogenerators, and photomicrosensors.
Growth and Respiration of Dormant Flower Buds of Pyrus communis and Pyrus calleryana1
Authors: Cole Mary E. , Solomos Theophanes , Faust Miklos 
Published: July 2022

Abstract
Respiration of flower-buds of Pyrus communis L., a late blooming species, and P. calleryana, an early blooming species, was investigated throughout the winter. Respiration of P. calleryana Decne at 5°C was twice as high as that of P. communis, whereas the respiration rates were similar at 25°. A large portion (60–70%) of the respiration at 5° was cyanide resistant in P. calleryana and much less in P. communis. The combination of inhibitors, cyanide (KCN) and salicylhydroxamic acid (SHAM), still only partially inhibited respiration. The residual respiration was much higher for P. calleryana than for P. communis. The nature of the residual respiration is not known.
Defoliation and Fertilizer Nitrogen Effects on Nitrate‐nitrogen Profiles in Maize1
Authors: Hicks D. R. , Peterson R. H. 
Published: July 2022

AbstractCorn (Zea mays L.) vegetative tissue remaining after hail damage is often utilized for forage. Environmental stresses may cause levels of nitrate‐nitrogen (NO−3‐N) in plant tissue that are toxic to ruminants. This study was conducted to determine the effect of leaf blade removal (simulated hail damage) and N fertilization of the soil on the NO−3‐N profile of corn fodder.Leaf blade removal of 0, 50, 100% was imposed at tasseling on the corn hybrid ‘Dekalb XL45A’ grown in soil fertilized with either 115 or 230 kg N/ha. Plants were sampled approximately weekly for 6 weeks after defoliation.Both stalk and total fodder NO−3‐N concentration increased as either level of defoliation or N rate increased. Stalks of nondefoliated plants contained up to over 4,500 ppm (dry matter basis) NO−3‐N while stalks of plants having 50 and 100% of the leaf blades removed contained up to 5,000 and 5,500 ppm NO−3‐N, respectively.When completely defoliated, fodder NO−3‐N concentration was as high as 1,900 ppm for corn receiving 115 kg N/ha. Fodder of 100%‐defoliated plants receiving 230 kg N/ha contained as much as 2,300 ppm NO−3‐N.These results suggest that corn fodder NO−3‐N concentration increases due to the defoliation caused by hail. Thus hail damage to corn fodder may increase the chances of NO−3‐N toxicity to animals, especially when high rates of fertilizer N are used.
Response of Maize Seed Number to Solar Radiation Intercepted Soon after Anthesis
Authors: Kiniry James R. , Knievel Daniel P. 
Published: July 2022

AbstractA versatile method for predicting maize (Zea mays L.) seeds per plant would be valuable for simulating maize yield with different population densities. The objective of this work was to characterize the form of the response of seeds per plant to intercepted photosynthetically active radiation per plant in the 10 d following silking and to test the generality of the response function across several hybrids at different locations. Data from the literature and results with 2 yr of field experiments at Temple, TX, on Houston Black clay (fine montmorillonitic, thermic Udic Haplusterts) and 1 yr in central Pennsylvania on Hagerstown silt loam (fine, mixed, mesic Typic Hapludalfs) were used to evaluate this seed number response. The data support a linear response function, with values being on a plateau when the potential number of seeds of a hybrid has been reached. A single regression equation was adequate for 10 hybrids at Temple and/or in central Pennsylvania. Several other hybrids at these or other locations showed significantly different responses. Prediction functions for other hybrids can be derived with similar linear models, with a plateau defined by the potential seeds per plant produced at low planting densities.
Projection of rainfall variability in Egypt by regional climate model simulations
Authors: Gado Tamer A. , El-Hagrsy Rufayda M. , Rashwan Ibrahim M. H. 
Published: July 2022

Abstract
This study analyzed rainfall projections in Egypt throughout the current century in the context of climate change. Three common bias-correction methods were applied to adjust regional climate model (RCM) simulations of precipitation regarding the observed daily rainfall data of 15 locations in Egypt. The results revealed that the empirical quantile mapping was the most appropriate method to correct the projection of rainfall indices. The projected changes in rainfall showed significant increases at most locations for all future scenarios. The western part of the country will be the most affected by climate change, anticipating a significant increase in precipitation, in contrast to the regions of the Nile Valley, Delta, and the Northern Coast, which may witness a decrease in precipitation and an increase in meteorological drought. Under the worst-case scenario, the rate of increase in rainfall indices over the country is expected to decline during the last decade of the century. These findings will provide a better understanding of the future changes in precipitation that may have critical impacts on the development in Egypt.
A study on coupling of the grassland pattern and the flood process in Poyang Lake based on the island biogeography theory
Authors: Luo Shiqi , Chen Wenbo , Xiong Qiongbing , He Lei 
Published: July 2022

Abstract
As a typical type of landscape in Poyang Lake, the largest freshwater lake in China, grassland has been deeply disturbed by the flooding process. However, how the vegetation landscape diversity responds to the flooding process of Poyang Lake remains unclear. In this paper, we randomly selected 10 grasslands in the period of a normal water level from 2010 to 2019 to study the coupling relationship between the vegetation landscape diversity and flooding process, and established the related models based on the island biogeography theory. The results are as follows. (1) There is a positive correlation between the grassland vegetation landscape diversity and grassland area, the best fitting model is the logarithmic function. (2) Using the general dynamic model of island biogeography as a reference, the model of diversity–area–flooding established by using the area of grassland and duration as predictor variables has the highest goodness-of-fit. (3) If grassland was flooded for 120–130 days and the maximum depth of flooding is not more than 2.5 m every year, the vegetation landscape diversity in grasslands will be the highest. The findings have provided an extension to the study of the response of vegetation to flooding processes, and provide a certain theoretical basis for the protection and management of the Poyang Lake ecosystem.
SIMEON: Prediction of Chemical-protein Interaction via Stacked
Bi-GRU-normalization Network and External Biomedical Knowledge
Authors: Ma Xiaolei , Lu Yang , Lu Yinan , Jiang Mingyang 
Published: July 2022

Background:
Chemical compounds and proteins/genes are an important class of entities in
biomedical research, and their interactions play a key role in precision medicine, drug discovery, basic
clinical research, and building knowledge bases. Many computational methods have been proposed to
identify chemical–protein interactions. However, the majority of these proposed models cannot model
long-distance dependencies between chemical and protein, and the neural networks used to suffer from
gradient descent, with little taking into account the characteristics of the chemical structure characteristics of the compound.

Methods:
To address the above limitations, we propose a novel model, SIMEON, to identify chemical–
protein interactions. First, an input sequence is represented with pre-trained language model and an attention mechanism is used to uncover contribution degree of different words to entity relations and potential semantic information. Secondly, key features are extracted by a multi-layer stacked Bidirectional Gated Recurrent Units (Bi-GRU)-normalization residual network module to resolve higherorder dependencies while overcoming network degradation. Finally, the representation is introduced to
be enhanced by external knowledge regarding the chemical structure characteristics of the compound
external knowledge

Results:
Excellent experimental results show that our stacked integration model combines the advantages of Bi-GRU, normalization methods, and external knowledge to improve the performance of
the model by complementing each other

Conclusion:
Our proposed model shows good performance in chemical-protein interaction extraction,
and it can be used as a useful complement to biological experiments to identify chemical-protein interactions.
An Analysis of the Relationship Between Premenstrual Syndrome and Aggression Tendencies Among Turkish Adolescent Girls
Authors: Evcili Funda , Guclu Gulsen 
Published: July 2022

Background:
Premenstrual syndrome affects women’s physical,
psychological, and social health negatively. Moreover, it causes behavioral
disorders such as anger, crime, and aggression tendencies. However, there is a
limited number of studies in the literature which examined the relationship between
premenstrual syndrome and crime, aggression, or violence.

Objective:
The objective of this study was to identify the relationship between
premenstrual syndrome and aggression tendencies.

Methods:
This is a descriptive study. The 774 voluntary adolescent girls studying at
a state university in Turkey constituted the sample of the research.

Results:
The mean age of adolescent girls was 19.05 ± 1.64. The mean age of first
menstruation for the participants was 13.35 ± 1.23. It was determined that 58.3% of
the participants had a premenstrual syndrome. Premenstrual syndrome intensity
levels were higher among adolescent girls whose menstruation interval was < 28
days, those who had “irregular” menstrual cycles, those who found their
menstruation-related knowledge “inadequate”, those diagnosed with “anemia” and
those who thought their anger/aggression tendencies increased in their
“premenstrual period” (p<0.05). Moreover, aggression tendencies increased among
adolescent girls as the intensity of premenstrual syndrome increased (p<0.05).

Conclusion:
Health professional's premenstural symptoms were carefully evaluated
and individualized care and treatment plans were created.
Analisis Pendapatan Usahatani Beras Merah Organik Studi Kasus di Kelompok Tani Sarinah Bandung
Authors: Gumanti Catur Parah , Nauly Dahlia 
Published: July 2022

<p>Kesadaran masyarakat akan bahaya bahan anorganik dari penggunaan pupuk kimia dan pestisida kimia sintesis terhadap kesehatan dan lingkungan menyebabkan terjadinya peralihan budidaya ke sistem pertanian organik. Kelompok Tani Sarinah Desa Bumiwangi Kecamatan Ciparay Kabupaten Bandung Provinsi Jawa Barat melakukan budidaya beras merah organik dari tahun 2004 dan memiliki produktivitas yang cukup tinggi 7.84 ton/ha, akan tetapi petani merasa pendapatannya tidak layak. Analisa usahatani budidaya beras merah secara organik di Kelompok Tani Sarinah dilakukan untuk mengetahui pendapatan usahatani di Kelompok Tani Sarinah pada sekali musim tanam tahun 2020. Penelitian ini dilakukan pada bulan Agustus-Desember 2020 dengan metode wawancara, observasi dan studi pustaka. Hasil penelitian menunjukan biaya yang dikeluarkan petani dalam satu kali musim tanam di Kelompok Tani Sarinah adalah Rp.64.450.642,-/ha dengan total penerimaan petani adalah Rp.86.774.158,-/ha dan nilai pendapatan sebesar Rp.22.323.516,-/ha. Nilai R/C Rasio yang diperoleh adalah 1.35 dan berdasarkan nilai ini usahatani di Kelompok Tani Sarinah layak untuk diusahakan.</p>
Information and Communication Technologies in Patients With Immune-Mediated Inflammatory Diseases: Cross-sectional Survey
Authors: Chamorro-de-Vega Esther , Romero-Jiménez Rosa , Escudero-Vilaplana Vicente , Ais-Larisgoitia Arantza , Lobato Matilla María Elena , González Carlos M , Menchén Luis , Baniandrés Ofelia , Ibares-Frias Lucía , Lobo-Rodríguez Carmen , Herranz-Alonso Ana , Sanjurjo María 
Published: July 2022

Background
Information and communication technologies (ICTs) are changing the traditional health care model and redefining personalized health. ICTs offer effective communication and real-time monitoring of patients and provide additional data to support clinical decision-making, improve the quality of care, and contribute to the empowerment of patients. However, evidence on the use of ICTs and digital preferences of immune-mediated inflammatory disease (IMID) patients is scarce.

Objective
The aim of this study is to describe the degree of use of ICTs in patients with IMIDs (including rheumatic diseases, inflammatory bowel diseases, and psoriasis), identify their needs, and analyze their interest in the use of apps as tools for better management of their disease.

Methods
A questionnaire was created by a multidisciplinary team including pharmacists, rheumatologists, gastroenterologists, dermatologists, and nurses with experience in ICTs applied to the field of IMID. The survey included 27 questions organized into 3 blocks: (1) sociodemographic characteristics, (2) ICT use for health-related information, and (3) patient expectations about mobile health.

Results
A total of 472 questionnaires were analyzed. Overall, 52.9% (250/472) of patients were diagnosed with a rheumatologic disease, 39.4% (186/472) with inflammatory bowel disease, and 12.3% (58/472) with psoriasis. The state of health was considered good by 45.6% (215/472) of patients. Patients were interested in staying informed about health issues in 86.9% (410/427) of cases and sought health-related information mainly from the internet (334/472, 70.8%) and health care professionals (318/472, 67.4%). Overall, 13.6% (64/472) did not trust the health information they found in internet. Of the patients, 42.8% (202/472) had a health app, and 42.2% (199/472) had found it on their own. Patients would like a health app to help mainly to manage appointments (281/472, 59.5%), obtain information about their diseases and treatments (274/472, 58.1%), and get in contact with health professionals (250/472, 53.0%). Overall, 90.0% (425/472) of patients reported they would use an app to manage their IMID if their health professional recommended it, and 58.0% (274/472) would pay or probably be willing to pay for it.

Conclusions
IMID patients were very interested in finding health-related information via ICTs, especially using smartphones and apps recommended by health professionals. Appointment management, advice on disease and treatment management, and personalized communication with health professionals were the most desired app features identified. Health professionals should play an essential role in recommending and validating these tools to ensure they are of high quality.
Pola Ruang Gerak dan Sirkulasi Ruang Tunggu Klinik Gigi Gentan Sukoharjo pada Masa Pandemi Covid-19
Authors: Muhammad Johan Maulana , Mutiari Dhani 
Published: July 2022

Wabah Covid-19 telah menyebar dengan cepat ke Indonesia dengan melalui droplet dan permukaan benda yang terkena droplet. Upaya pencegahan penyebaran virus telah diterapkan melalui peraturan protokol kesehatan dengan adaptasi kebiasaan baru (new normal) diberlakukan di berbagai fasilitas kesehatan. khususnya dalam klinik gigi. Klinik gigi merupakan pelayanan kesehatan gigi dan mulut dimana pasien diharuskan melepas masker saat melakukan pemeriksaan, sehingga pelayanan klinik gigi rentan terjadi kontaminasi virus. Tujuan dilakukannya penelitian adalah untuk mengetahui pola gerak (aktivitas) pasien dan sirkulasi terhadap tata ruang tunggu klinik gigi di tengah masa pandemi. Penelitian ini mengambil studi kasus di klinik Gentan Dental Care yang memiliki jumlah pasien cukup banyak terutama pada hari Rabu, Jumat dan Minggu sehingga terjadi penumpukan pasien di ruang tunggu. Metode penelitian ini adalah deskriptif kualitatif yang dilakukan dengan pengamatan observasi, survei lapangan dan wawancara. Hasil penelitian menunjukkan bahwasannya pola gerak dan sirkulasi pasien tidak terjadi crossing antar pasien karena pasien datang secara berurutan. Akan tetapi terdapat hambatan sirkulasi pada perawat saat sedang melakukan pelayanan pasien di area pintu masuk dekat ruang praktik, dan pada area jalur sirkulasi di bagian ruang skrining. Hal ini dapat memberikan masukan pada perancangan layout ruang tunggu pada sebuah poliklinik
Increasing Levels of Physical Disturbance Affect Soil Nematode Community Composition in a Previously Undisturbed Ecosystem
Authors: Pothula Satyendra Kumar , Phillips Gary , Bernard Ernest C. 
Published: July 2022

Abstract
Soil is essential for the sustenance of life. Diverse soil organisms support several biological processes such as organic matter decomposition, mineralization, nutrient cycling, and controlling pests and diseases. Among multicellular soil organisms, nematodes are ubiquitous, functionally diverse, and abundant. Notably, agricultural practices have diverse impacts on plants, soils, and soil organisms. Tillage affects nematodes directly by altering pore size and disrupting the continuity of water films and indirectly by affecting the lower trophic groups such as bacteria and fungi. The primary goal of this study was to examine the effect of increasing levels of physical disturbance on nematode communities in an undisturbed forest ecosystem. The experiment included four treatments: control with no disturbance, surface litter removed with no litter and no vegetation, tilling the soil with a rototiller every 2 mon, and every 2 wk. Tillage significantly reduced the overall abundance and overall richness of nematode communities over time. Among nematode trophic groups, tillage significantly reduced the abundance and richness of bacterial feeders, predators, and omnivores over time. The abundance and richness of c-p 2, c-p 4, and c-p 5 class nematodes were significantly decreased by tillage. Unlike tillage, minimal disturbance such as removal of surface litter resulted in a significant decrease in the abundance of only three genera: Acrobeles, Aporcelaimellus, and Boleodorus. Nonmetric multidimensional scaling analysis revealed that nematodes of higher c-p classes such as Dorylaimida, Aporcelaimellus, Alaimus, Clarkus, and Tripyla were sensitive to physical disturbances. Bacterial feeders belonging to the c-p 2 class such as Tylocephalus, Acrobeles, Ceratoplectus, Plectus, and Pseudacrobeles were significantly reduced by tillage. Moreover, tillage significantly reduced the functional metabolic footprint of nematodes, which indicates decreased metabolic activity, reduced C inflow, and poorly structured soil food webs. Previous studies conducted in agricultural ecosystems determined that Clarkus, Filenchus, and Plectus were tolerant to tillage; however, they were found sensitive to tillage in our study. Overall, our study suggests that increasing levels of physical disturbance are detrimental to nematode community abundance and diversity that could affect soil ecosystem stability and sustainability.