bluuebunny/crossref_metadata_2025 huggingface dataset:
USAGE OF MASK R-CNN FOR AUTOMATIC LICENSE PLATE RECOGNITION
Authors: Podorozhniak Andrii , Liubchenko Nataliia , Sobol Maksym , Onishchenko Daniil
Published: March 2023

The subject of study is the creation process of an artificial intelligence system for automatic license plate detection. The goal is to achieve high license plate recognition accuracy on large camera angles with character extraction. The tasks are to study existing license plate recognition technics and to create an artificial intelligence system that works on big shooting camera angles with the help of modern machine learning solution – deep learning. As part of the research, both hardware and software-based solutions were studied and developed. For testing purposes, different datasets and competing systems were used. Main research methods are experiment, literature analysis and case study for hardware systems. As a result of analysis of modern methods, Mask R-CNN algorithm was chosen due to high accuracy. Conclusions. Problem statement was declared; solution methods were listed and characterized; main algorithm was chosen and mathematical background was presented. As part of the development procedure, accurate automatic license plate system was presented and implemented in different hardware environments. Comparison of the network with existing competitive systems was made. Different object detection characteristics, such as Recall, Precision and F1-Score, were calculated. The acquired results show that developed system on Mask R-CNN algorithm process images with high accuracy on large camera shooting angles.
THE SELECTED ELEMENTS OF THE CHEMICAL COMPOSITION OF MIXTURES OF NARROWLEAF LUPIN (LUPINUS ANGUSTIFOLIUS L.) WITH SPRING TRITICALE (X TRITICOSECALE WITTMACK) GROWN FOR GREEN FODDER
Authors:   Faculty of Engineering and Economics, Ignacy Mościcki University of Applied Sciences in Ciechanów, GÓRSKI Rafał , PŁAZA Anna ,   Institute of Agriculture and Horticulture, Faculty of Agrobioengineering and Animal Husbandry, Siedlce University of Natural Sciences and Humanities, Siedlce, Poland
Published: March 2023

Field studies were conducted in 2016–2018 at the Agricultural Experimental Station in Zawady, which belongs to the Siedlce University of Natural Sciences and Humanities, located near Siedlce in the Mazowieckie Voivodeship. The aim of the conducted research was to evaluate the content of selected nutrients in mixtures of narrowleaf lupin with spring triticale harvested at two developmental stages of narrowleaf lupin. The highest content of total carbohydrates, water-soluble carbohydrates and crude ash, among the mixtures, was revealed in a mixture with 75% narrowleaf lupin and 25% spring triticale. In contrast, the highest crude fat content was found in mixtures with component shares of narrowleaf lupin and spring triticale of 75% + 25% and 50% + 50%, respectively. A higher carbohydrate and crude ash content was determined in mixtures harvested at the flowering stage of narrowleaf lupin, while higher crude fat contents were determined in mixtures harvested at the flat green pod stage of narrowleaf lupin. Among the mixtures to be grown to achieve fodder with a high content of total carbohydrates, water-soluble carbohydrates, crude fat and crude ash a mixture with 75% + 25% components of narrowleaf lupin and spring triticale, respectively, should be recommended and harvested at the narrowleaf lupin flowering stage.
POLYMORPHISM IN BMAP-27 AND BMAP-28 GENES AND THEIR RELATIONSHIP WITH MILK PRODUCTION TRAITS IN CATTLE
Authors:   Department of Genetics, West Pomeranian University of Technology, Szczecin, Poland, HILLER Sonia , KOWALEWSKA Inga ,   Department of Genetics, West Pomeranian University of Technology, Szczecin, Poland
Published: March 2023

The study aimed to analyze polymorphisms located in exon 4 of the CATHL5 gene encoding the BMAP-28 protein and in exon 4 of the CATHL6 gene encoding the BMAP-27 protein concerning milk performance parameters, such as milk yield, fat, protein, and lactose content and somatic cell count in milk. The PCR-RFLP method using the ACRS technique was used in the study to create a cleavage site for enzymes. Based on the results of genotyping, results for individual SNPs were obtained, with statistically significant differences at the P ≤ 0.05 and P ≤ 0.01. Between individual genotypes of the studied polymorphisms and selected traits of milk production.
Feasibility of Biophysics Flipbook on Respiration System Content for Junior High School Student
Authors: Febrian Andika , Achmad Salehudin  , Fairuz Zakirah  , Jumadi Jumadi
Published: March 2023

The rapid progress of the era of globalization is pushing for the necessity of the world of education, especially in learning to adapt to applying digital technology. In line with this, the effect of learning is less than optimal during the pandemic, with many problems surrounding media and teaching materials that are not optimal, less attractive, and monotonous, thus making science learning not as effective as it should be. Based on these problems, we need a media that can effectively learn resources based on digital technology in science learning. This study aims to develop a biophysics flipbook product as a medium and teaching material on respiratory system materials for junior high school students. This development research uses a 4D model which consists of define, design, develop, and disseminates—the focus of the discussion in this article only on the feasibility aspect of the product being developed. The research data is the result of the validation score of each aspect which is descriptive quantitative analysis. The results of this research and development resulted in a biophysics flipbook worthy of didactic, construction, technical, and language aspects with very high categories and can be tested or applied in learning at school.
Ecodatacube.eu: Analysis-ready open environmental data cube for Europe
Authors: Witjes Martijn , Parente Leandro Leal , Krizan Josip , Antonic Luka , Hengl Tomislav
Published: March 2023

The paper describes the production steps and accuracy assessment of an analysis-ready, open-access European
data cube consisting of 2000–2020+ Landsat data, 2017–2021+ Sentinel-2 data and a 30m resolution
Digital Terrain Model (DTM). The main purpose of the data cube is to make annual continental-scale
spatiotemporal machine learning tasks accessible to a wider user base by providing a spatially and temporally
consistent multidimensional feature space. This has required systematic spatiotemporal harmonization,
efficient compression, and imputation of missing values. Sentinel-2 and Landsat reflectance values were
aggregated into four quarterly averages approximating the four seasons common in Europe (winter, spring,
summer and autumn), as well as the 25th and 75th percentile, in order to retain intra-seasonal variance.
Remaining missing data in the Landsat time-series was imputed with a temporal moving window median
(TMWM) approach. An accuracy assessment shows TMWM performs relatively better in Southern Europe
and lower in mountainous regions such as the Scandinavian Mountains, the Alps, and the Pyrenees. We
quantify the usability of the different component data sets for spatiotemporal machine learning tasks with a
series of land cover classification experiments, which show that models utilizing the full feature space (30 m
DTM, 30 m Landsat, 30 m and 10 m Sentinel-2) yield the highest land cover classification accuracy, with
different data sets improving the results for different land cover classes. The data sets presented in the
paper are part of the EcoDataCube platform, which also hosts open vegetation, soil, and land use / land
cover (LULC) maps created. All data sets are available under CC-BY license as Cloud-Optimized GeoTIFFs
(ca. 12 TB in size) through SpatioTemporal Asset Catalog (STAC) and the EcoDataCube data portal.
Purification efficiency of two ecotypes of wetland plants on subtropical eutrophic lakes in China
Authors: Zhu Yingmo , Yang Ke , Chen Zhe
Published: March 2023

The accelerated eutrophication rate of (sub)tropical lakes is a major environmental problem. Constructed wetlands are considered as an effective method to purify water bodies. However, the removal rate of nitrogen (N), phosphorus (P) and other nutrients by wetland vegetation is quite different, and the continuous observation of plants and water ecosystems is required. In this study, the growth curves of two subtropical wetland plants, Phragmites australis and Zizania caduciflora, and their absorption effects on N and P in constructed wetlands were studied. The results showed that the growth curves of the two wetland plants were similar, reaching the biomass peak in July to August, and the cumulative absorption of N and P by plants had the same trend with the change of biomass. The N and P concentration of plants reached the peak in March to April, with higher concentration in P.australis than that of Z.latifolia. At the end of the growing season, i.e. around October 20, the accumulated absorption of N and P by plants reached the maximum, which was the optimal time for harvest of subtropical wetland plants. Thereafter, the residues of plant litter entered the water, causing the recovery of N and P concentration in the water body, therefore affected the purification function of wetland. There is a strong correlation between the water purification efficiency and plant growth. With the increase of biomass, N and P accumulation in P.australis and Z.latifolia, the N, P content and chemical oxygen demand (COD) in the water of wetland showed a significant decreasing trend. The removal rates of N, P, COD and suspended substance (SS) in the constructed wetlands with P.australis and Z.latifolia as the main plants were 95%, 96%, 82% and 86%, respectively. In general, the purification capacity of P.australis is slightly higher than that of Z.latifolia and precipitation had positive effects on the pollutants concentration of wetland water. The results provide scientific basis for plant selection and management of subtropical constructed wetlands.
A Majority Signal Parity Check Scheme For Data Hiding with Tree-Based Parity Check
Authors: A Chockalingam , Jose T. J. Benedict , Devi T. Arumuga Maria , Kumar M.Sathish , Shoba M.
Published: March 2023

In order to increase the embedding efficiency, we analyse an asymptotic behaviour when developing a steganographic scheme. For steganography, it's crucial to minimise the cover and the distortion item and the stego object. Due to its simplicity, parity check using trees approach is particularly effective for using visual data to cover over a message. We suggest a Majority Signal Parity Check based on this methodology, which yields the least distortion when locating a stego object. Our method's reduced embedding efficiency is superior to that of earlier studies when the hidden message length reaches a sizeable amount.
Implementing Practice Facilitation in Research: How Facilitators Spend Their Time Guiding Practices to Improve Blood Pressure Control
Authors: Sutton Kent F. , Richman Erica L. , Rees Jennifer R. , Pugh-Nicholson Liza L. , Craft Macie M. , Peaden Shannon H. , Soroka Orysya , Mackey Monique , Cummings Doyle M. , Cherrington Andrea L. , Safford Monika M. , Halladay Jacqueline R. , Group Southeastern Collaboration to Improve Blood Pressure Writing
Published: March 2023

Background: Practice facilitators (PFs) oversee quality improvement (QI) initiatives aimed at enhancing patient outcomes and operational efficiencies. Little research has explored the amount of time PFs spend with practices on QI activities. This short report expands on previously published work which detailed a 12-month practice facilitation intervention focusing on improving hypertension control among people living in rural settings in the southeastern USA. This report analyzes data on the time PFs spent to guide 32 primary care practices in implementing QI activities to support enhanced outcomes in patients with high blood pressure.
Methods: As part of the parent study, the Southeastern Collaboration to Improve Blood Pressure Control trial, four PFs documented time spent: 1) driving to support practices; 2) working on-site with staff and clinicians; and 3) communicating remotely (phone, email, or video conference) with practice members. We analyzed the data using descriptive statistics to help understand time devoted to individual and aggregated tasks. Additionally, we explored correlations between practice characteristics and time spent with PFs.
Results: An average of 130 (SD 65) minutes was spent per visit driving to and from individual practices. The average time spent on-site per visit with practices was 87 (SD 37) minutes, while an average of 17 (SD 12) minutes was spent on individual remote communications. During the 12-month intervention, 1131 remote communications were conducted with practices. PFs spent most of their time with clinical staff members (n=886 instances) or with practice managers alone (n=670 instances) while relatively few on-site visits were conducted with primary care providers alone (n=15). In 19 practices, no communications were solely with providers. No significant correlations were found between time spent on PF activities and a practices’ percent of Medicaid and uninsured patients, staff-provider ratio, or FQHC status.
Conclusions: PFs working with practices serving rural patients with hypertension devote substantial time to driving, highlighting the importance of optimizing a balance between time spent on-site vs. communicating remotely. Most time spent was with clinical staff, not providers. These findings may be useful to researchers and business leaders who design, test, and implement efficient facilitation services.
Trial registration: NIH ClinicalTrials.gov. NCT number: NCT02866669. Registered 15 August 2016. https://clinicaltrials.gov/ct2/show/NCT02866669?term=NCT02866669&draw=2&rank=1.
NHLBI AWARD number: PCS-1UH3HL130691.
Changes in pancreatic and ileal flora and related relationships in experimental acute pancreatitis
Authors: Zhao Meng-Qi , Cui Meng-Yan , Jiang Qiao-Li , Wang Jing-Jing , Lu Ying-Ying
Published: March 2023

Background/Objectives: Gut microbiota dysbiosis is a complication of acute pancreatitis (AP). However, the composition of the pancreatic and ileal microbiota and their relationship during acute pancreatitis remain unknown.
Methods: AP was induced in mice using three modeling methods, Caerulein (CAE), Caerulein+lipopolysaccharide (CAE+LPS) and L-arginine (ARG). Pancreas and ileum were collected for histological study and bacterial 16S rRNA gene sequencing to investigate the changes in the pancreatic and ileal flora under different inductions and their relationships. Blood samples were tested for amylase, lipase, and inflammatory markers, and histological investigations were done to assess pancreatic and ileal pathological damage.
Results: All three modeling techniques led to inflammation and AP and ileal damage. Rarefaction and Shannon indices revealed that the pancreas and ileum of AP mice had higher levels of microbial diversity. Principal coordinate analysis (PCoA) and non-metric multidimensional scaling (NMDS) analysis showed microbial structural segregation in both the AP and control groups in the pancreas and ileum. In the three AP groups, there was microbial structural segregation between the ARG and the two CAE groups (CAE, CAE+LPS). Taxonomic analysis at the genus level showed a significant increase in the relative abundance of Muribaculaceae and a decrease in the relative abundance of Dietzia in the pancreas and ileum of AP mice. The same finding was found for linear discriminant analysis of effect size (LEfSe) at the operational taxonomic unit (OTU) level. In addition, the pancreas and ileum of both CAE groups were enriched with Roseburia, whereas the pancreas of the ARG group was enriched with Escherichia-Shigella. The abundance of Muribaculaceae and Dietzia in the pancreas is associated with that in the ileum, according to Spearman correlation analysis of the pancreatic and ileal microbiota.
Conclusions: These results showed that when AP was induced, caerulein and L-arginine differentially affected the pancreatic and ileal microbiota.
Efficacy and safety of theta burst versus repetitive transcranial magnetic stimulation for major depressive disorder: a meta- analysis of randomized controlled trials
Authors: Liu Chaomeng , Li Li , Zhu Kemeng , Liu Zhi , Xing Wenlong , Li Bing , Jin Wenqing , Lin Shuo , Tan Weihao , Pan Weigang , Ren Li , Zhang Qinge
Published: March 2023

Background: Theta burst stimulation (TBS) is more energy- and time-efficient than standard repetitive transcranial magnetic stimulation (rTMS). However, further studies are needed to analyze TBS therapy for its efficacy and safety compared to standard rTMS for major depressive disorder (MDD). The aim of this meta-analysis was to compare TBS therapy and standard rTMS treatment regarding their safety and therapeutic effect on individuals with MDD.
Methods: Six databases (Wanfang, the China National Knowledge Infrastructure, PubMed, Embase, Cochrane Library, and PsycINFO) were searched from inception till November 20, 2022. Two independent reviewers selected potentially relevant studies based on the inclusion criteria, extracted data, and evaluated the methodological quality of the eligible trials using the modified 10-item Physiotherapy Evidence Database scale per PRISMA guidelines.
Finally, ten comparable pairs of 9 randomized controlled trials were included for meta-analysis. Summary odds ratios (ORs) of the rates of response, remission, and adverse events were simultaneously calculated using quality-effects (QE) and random-effects (RE) models. Changes in depression scores associated with antidepressant effects were expressed using standardized mean differences (SMDs) simultaneously. This study was registered with PROSPERO (CRD42022376790).
Results: Nine of the 602 RCTs, covering 1196 cases (616 subjected to TBS protocols vs. 580 treated using standard rTMS), were enrolled. Differences in response rates between the above two treatment modalities were not significant (OR = 1.03, 95% CI: 0.90–1.18, P > 0.05, I2 = 4%, RE model; OR = 1.09, 95% CI: 0.90–1.32, P > 0.05, I2 = 4%, QE model). Differences in adverse event rates between TBS and standard rTMS groups were not statistically significant.
Conclusion: TBS has similar efficacy and safety as standard rTMS for treating MDD. In light of the short duration of daily stimulation sessions, this meta-analysis supports the continued development of TBS for treating depression.
HbA1c: an independent risk factor for dysthyroid optic neuropathy
Authors: Wang Xing , Ye Huijing , Chen Rongxin , Yang Shenglan , Zhang Te , Xiao Wei , Yang Huasheng
Published: March 2023

BackgroundTo explore the frequencies of islet β-cell autoantibodies and insulin resistance (IR) in thyroid-associated ophthalmopathy (TAO) and identify specific diabetes mellitus (DM)indicators as early predictors for dysthyroid optic neuropathy (DON).MethodsNinety-eight TAO patients (57 DON and 41 non-DON patients) and 48 healthy control (HC) participants were recruited for this prospective cross-sectional study. Serum thyroxine, serum thyroid autoantibodies, serum humoral immune markers against islet β-cell, fasting plasma glucose (FPG), fasting serum insulin (FINS), fasting c-peptide (FCP), glycosylated hemoglobin A1 (HbA1c) were measured. Logistic regression analysis was used to evaluate the correlation of patients' age, body mass index (BMI), FPG, HbA1c, and related indexes of islet β-cell function to the occurrence of DON.ResultsTheDON group had higher FPG (P<0.001, 0.016) and HbA1c (P<0.0001, P<0.001) levels thanthe HC and non-DON groups. The homeostasis model assessment (HOMA)-IR level was highest in theDON group (HC 2.15±0.89, non-DON 2.41±1.24, DON 2.82±2.65), while the HOMA-β level was lowest (HC 101.8±44.75%, non-DON 102.9±54.61%, DON 88.29±52.75%), with no significant differences (P=1, P>0.05). On univariate analysis, age (P=0.006), BMI (P=0.022), history of steroid use (P=0.014), and FPG (P=0.013), HbA1c (P=0.001) levels were significantly associated with the presence/absence of DON. In addition, after adjusting for potential confounding factors, the HbA1c level was anindependent factor associated with DON (P=0.009, OR=4.012).ConclusionsHbA1c is an independent risk factor for DON. Given the inextricable link between thyroid dysfunction and DM, the use of HbA1c as a potential biomarker for DON warrants further investigation.
Development and assessment of novel machine learning models to predict the probability of postoperative nausea and vomiting for patient-controlled analgesia
Authors: Xie Min , Deng Yan , Wang Zuofeng , He Yanxia , Wu Xingwei , Zhang Meng , He Yao , Liang Yu , Li Tao
Published: March 2023

Postoperative nausea and vomiting (PONV) can lead to various postoperative complications. The risk assessment model of PONV is helpful in guiding treatment and reducing the incidence of PONV, whereas the published models of PONV do not have a high accuracy rate. This study aimed to collect data from patients in Sichuan Provincial People's Hospital to develop models for predicting PONV based on machine learning algorithms, and to evaluate the predictive performance of the models using the area under the receiver characteristic curve (AUC), accuracy, precision, recall rate, F1 value and area under the precision-recall curve (AUPRC). The AUC (0.947) of our best machine learning model was significantly higher than that of the past models. The best of these models was used for external validation on patients from Chengdu First People’s Hospital, and the AUC was 0.821. The contributions of variables were also interpreted using SHapley Additive ExPlanation (SHAP). A history of motion sickness and/or PONV, sex, weight, history of surgery, infusion volume, intraoperative urine volume, age, BMI, height, and PCA_3.0 were the top ten most important variables for the model. The machine learning models of PONV provided a good preoperative prediction of PONV for intravenous patient-controlled analgesia.
Artificial intelligence application in enterprise financial management big data calculation based on Virtual network mapping algorithm
Authors: Fu Feina
Published: March 2023

In recent years, in order to adapt to the development of the times, a new technology, namely network virtualization technology, has been produced. The research of network virtualization includes many aspects, but the most important thing is the constraint of node and link resources, as well as its topology requirements. Therefore, a new model has been developed in the corresponding era, namely the era of big data. The era of big data can bring us many benefits, and it will also bring us many disadvantages. The era of big data has provided a more comprehensive and accurate data analysis platform for corporate financial management, but it has also brought a huge impact to corporate traditional financial management. The current basic education financial risk prevention methods are relatively backward, traditional financial management mainly relies on manpower. Artificial intelligence is gradually developing and progressing, some artificial intelligence has some learning ability, knowledge reserve ability, and intelligent judgment and decision-making ability. This article uses a basic education group as the research object to analyze artificial intelligence technology in financial risk prevention and identification The application phenomenon in the process, and cited some cases for analysis.
Synergistic effect of local corticosteroid injection(LCI) with extracorporeal shock wave therapy(ESWT) in the treatment of patients with mild to moderate carpal tunnel syndrome(CTS): A Randomized Controlled Trial
Authors: gholipour morteza , bonakdar sona , gorji mona , minaei reza
Published: March 2023

Background: Applying extracorporeal shock wave therapy (ESWT) injection in carpal tunnel syndrome (CTS) management is gaining momentum. The objective is to actualize the topic of this study.
Methods: In this prospective randomized controlled trial, forty patients with mild to moderate CTS are divided into two sham-ESWT and ESWL groups subject to LCI(Local corticosteroid Injection). The first group received four sessions of sham-ESWT weekly, which involved sound but no energy; the second group received ESWT at equal intervals and were assessed for pain score (VAS score) and symptoms (GSS) baseline, 1st month, 3rd month, and 6th month.
Results: A considerable improvement is observed in both groups for pain at (P<0.05) and symptoms at (P<0.05) in the 3rd month. The second group revealed more significant symptom improvement at (P<0.05) in the 6th month.
Conclusion: The ESWT + LCI combined therapy course is the first line of treatment in patients with mild to moderate symptoms and leads to control and reduction of symptoms and the need for surgery, thus a primary concern in CTS treatment with an orthopedist.
Preconception education program for non-invasive prenatal testing focused on interest in genetics: a quasi-experimental study
Authors: Katada Chihiro , Ohashi Kazutomo , Okada Kimie , Sawai Hideaki
Published: March 2023

Background
Non-invasive prenatal testing (NIPT) is offered as a reproductive choice in many countries. However, pregnant women, particularly those who are primipara or lack knowledge of prenatal testing, experience difficulties understanding adequate information and making decisions on NIPT. This study developed a preconception education program about NIPT, focusing on interest in genetics, and aimed to clarify the effectiveness of the program to help women make decisions on future NIPT.
Methods
This was a one-group, quasi-experimental, pre-post-test study. The study population was female undergraduate students in Japan who participated in the education program. This program included two games and was based on the Attention, Relevance, Confidence, and Satisfaction (ARCS) model, which is an instructional design that stimulates learning interest and motivation. The data for 73 pre-pregnant women who completed all three questionnaires, before, immediately after, and three months after the intervention, were analyzed to clarify the time effects. Moreover, all variables were analyzed using logistic regression analysis to investigate factors related to decisional conflict.
Results
Interest in genetics, knowledge of genetics and prenatal testing, and indecisive attitudes toward NIPT significantly improved immediately after the intervention, and consequently, these changes and reduction of decisional conflict were maintained at three months. Moreover, low decisional conflict at follow-up was significantly associated with a high interest in genetics (adjusted odds ratio, 3.42).
Conclusions
These findings provide preliminary evidence that this preconception education program, which focused on facilitating interest in genetics, assists pre-pregnant women to reduce decisional conflict about future NIPT.
Trial Registration:
The trial was registered at the UMIN-CTR registry (16 Jan 2023), registration number UMIN000050047.
Effect of Limited Irrigation on Growth Parameters of Antirrhinum Majus
Authors: SEZEN IŞIK , YAĞANOĞLU SEVDA , KÜLEKÇİ ELİF AKPINAR , KARAHAN AYŞE
Published: March 2023

The aim of this research is to observe the change in the development parameters of the Antirhinum majus plant, which is the most widely used seasonal flower that causes excessive water consumption in green areas in cities, by subjecting it to limited irrigation. In this context; four different irrigation issues (completion of the amount of evaporating water (mm) obtained from the evaporation pot to 100% (control), 75%, 50% and 25% of the usable water holding capacity depending on the relationship of the pot volume) were created. To determine the effect of different water levels, 18 growth parameters were examined. As a result of the research; In Antirrhinum majus plant, on the other hand, in 17 of 18 parameters, it was observed that there was more improvement in 75% water application (25% water reduction) than 100% water application (0% water reduction). It is recommended to reduce water by 25% when using Antirrhinum majus plant in urban areas. In this case, significant water savings will be achieved in the urban landscape. Antirrhinum majus plants, which do not have any problems in their development despite the water shortage, are frequently used in urban landscapes.
Assessment of the causal relationship between depression and traits of sarcopenia: A bidirectional two-sample Mendelian randomization study
Authors: Tan Jianyu , Kong Yiting , Ai Ming , Hong Su , Zhang Yingxiao , Kuang Li
Published: March 2023

Background: Growing evidence reveals a significant association between depression and sarcopenia. However, the causal association between them remains elusive. We aimed to investigate the bidirectional relationship between depression and traits of sarcopenia.
Methods: We used genetic variants associated with depression (n=2,113,907), grip strength (n=256,523), appendicular lean mass (n=450,243), and walking pace (n=459,915) in bidirectional two-sample Mendelian randomization. The random-effects inverse-variance weighted method was adopted as the primary method.
Results: Mendelian randomization results revealed a causal relationship between depression and appendicular lean mass [β (95% confidence interval (CI)) = -0.051 (-0.086−(-0.016)), P=0.004], walking pace [OR (95% CI) = 0.973 (0.955−0.992), P=0.005]. Walking pace also revealed a causal relationship with depression [OR (95% CI) = 0.663 (0.507−0.864), P=0.002] in the reverse analysis. We observed no causal relationships between depression and grip strength. The leave-one-out sensitivity analysis verified our results.
Conclusions: This Mendelian randomization analysis verified the bidirectional relationship between depression and sarcopenia. Early diagnosis and prevention of either disease may enhance the management of another.
Validation of the Transplant Conditioning Intensity (TCI) Index for Allogeneic Hematopoietic Cell Transplantation
Authors: Spyridonidis Alexandros , Labopin Myriam , Gedde-Dahl Tobias , Ganser Arnold , Stelljes Matthias , Craddock Charles , Wagner-Drouet Eva , Versluis Jurjen , schroeder thomas , Blau Igor-Wolfgang , Wulf Gerald , Dreger Peter , Olesen Gitte , Sengeloev Henrik , Kroeger Nicolaus , Potter Victoria , Forcade Edouard , Passweg Jakob , de Latour Regis Peffault , Maertens Johan , Wilson Keith , Bourhis Jean Henri , Finke Jürgen , Brissot Eolia , Bazarbachi Ali , Giebel Sebastian , Savani Bipin N. , Nagler Arnon , Ciceri Fabio , Mohty Mohamad
Published: March 2023

The intensity of the conditioning regimen given before allogeneic hematopoietic cell transplantation (allo-HCT) can vary substantially. To confirm the ability of the recently developed transplant conditioning intensity (TCI) score to stratify the preparative regimens of allo-HCT, we used an independent and contemporary patient cohort of 4060 transplant recipients with acute myeloid leukemia meeting inclusion criteria from the discovery study (allo-HCT in first complete remission, matched donor), but who were allografted in a more recent period (2018–2021) and were one decade older (55–75 years, median 63.4 years), we assigned them to a TCI category (low n = 1934, 48%; intermediate n = 1948, 48%, high n = 178, 4%) according to the calculated TCI score ([1–2], [2.5–3.5], [4–6], respectively), and examined the validity of the TCI category in predicting early non-relapse mortality (NRM), 2-year NRM and relapse (REL). In the unadjusted comparison, the TCI index provided a highly significant risk stratification for d100 and d180 NRM, NRM and REL risk. In the multivariate analysis adjusted for significant variables, there was an independent strong association of TCI with early NRM, NRM and REL. In summary, we confirm in contemporary treated patients that TCI reflects the conditioning regimen related morbidity and anti-leukemic efficacy highly satisfactorily and across other established prognostic factors. TCI has all the features to be used as a well-defined, easy calculated and reproducible tool to define and measure intensity of the preparative regimen.
Controls of Root-System Overlap on Hillslope Stability
Authors: Gomi Takashi , Noviandi Rozaqqa , Sidle Roy , Iwasa Naoto , Ohtaka Norihiro
Published: March 2023

Forests greatly influence the global vulnerability towards shallow mass movement, particularly in hilly and mountainous terrain. Vegetation root systems can reinforce soil structure which thereby stabilizes hillslopes. Hence, root contributions to slope stabilization (i.e., root reinforcement) have normally been evaluated from individual trees or shrubs. In a hillslope with vegetation competing for resources, root reinforcement depends not only on values from individual vegetation species but also on the overlap of multiple root systems, which we define as “root system overlap”. Here, we evaluated the effect of root-system overlap on slope stabilization by using a laboratory-scale flume with various densities of peas (Pisum sativum L), i.e., 50 (V-005), 200 (V-02), 400 (V-04), and 1100 (V-11) stems/m2, representing trees at a 1:70 experimental scale. Time from the onset of applied rainfall to landslide initiation was the longest for V-11, whereas landslides in lower density vegetation (V-02 and V-005) had similar timing to those in non-vegetated conditions. The smallest landslide size occurred at V-04 with a similar timing of landslides in V-11. Estimated root reinforcement (∆C) became 0.004 N/m2 for V-005 to 4.03 N/m2 for V-11. Although root reinforcement in dense vegetation (V-11) was greatest, the formation of saturated soil areas was most rapid, possibly associated with preferential flow within the overlapping roots. The optimum condition for sufficient lateral root binding, duration of hydrological processes, and minimizing landslide area occurred in V-04 with 0.37 N/m2 of root reinforcement. Findings reveal that vegetation management by controlling tree density may effectively mitigate hillslope instability.
Motion image monitoring suitable for dynamic multipath environment in dance choreography teaching
Authors: Xue Jia
Published: March 2023

In a dynamic multi-path environment, this paper conducts in-depth research on key technologies such as out-of-sequence of data packets in multi-path parallel transmission, fair distribution of network resources, congestion control mechanism, and multi-terminal cooperative service transmission, and proposes a virtual terminal-based The multi-path parallel transmission architecture and optimization method, the end-to-end multi-path parallel transmission disorder analysis model, and the multi-user multi-terminal multi-path transmission optimization model based on network utility, etc., and the multi-terminal collaboration is the main Key technologies such as heterogeneous terminal equipment and service mutual discovery in application scenarios, collaborative network construction and maintenance, and concurrent transmission of multi-stream services at the application layer have been verified. On this basis, a moving image monitoring and tracking tool was designed and developed. This tool can accomplish three tasks, including image illumination equalization, target recognition, and target tracking. You can easily and quickly change the parameters and call the specified program by simply operating the tool, avoiding the tedious content of the manual debugging environment, and at the same time merging many functions in one place, making the management easier. On this basis, this article finally analyzes the system requirements of the remote dance choreography teaching system from the basic ideas of the current stage of college dance choreography teaching mode and the basic actual situation of college teaching, and ensures that the software engineering design ideas and development concepts are strictly followed. On the basis of this, with the aid of the drawing software to assist in the development of the process function diagram of the entire system. And did various software tests for each core module of the remote online dance choreography teaching system.
Extraskeletal myxoid chondrosarcoma of the buttock: A case report and literature review
Authors: Ji Xinghua , Li Xiaoqiong , Xing Zejun
Published: March 2023

Background Extraosseous myxoid chondrosarcoma (EMC) is extremely rare, and the case we report is of a particular site with partial bone destruction. Case presentation: This case report can further strengthen the understanding of EMC and guide clinical treatment. The patient presented with a right buttock mass that was present for 1 year and that had gradually enlarged with tenderness for 6 months. The diagnosis was Extraskeletal myxoid chondrosarcoma. The interventions included puncture biopsy, surgical resection, and postoperative chemotherapy. The tumor was resected extensively, and the postoperative recovery was satisfactory. There was no recurrence or metastasis during the follow-up for half a year. Case presentation: The case we reported occurred in the pelvic cavity, which has not been previously reported in the literature, and there was partial bone destruction. Complete resection of the tumor was performed, and a satisfactory prognosis was achieved.
The quantitative investigation of FEDBD plasma on skin parameters: skin elasticity, thickness, density, tissue oxygenation, perfusion, and edema
Authors: Charipoor Parisa , Nilforoushzadeh Mohammad Ali , Khani Mohammadreza , Nouri Maryam , Ghasemi Erfan , Amirkhani Mohammad Amir , Eftekhari Mohammad , Shokri Babak
Published: March 2023

Beauty and youth are the most critical and challenging issues in medicine and beauty science, and humans always seek to find a new method for the elixir of youth. Innovative technologies based on physical principles have also been presented in recent years. In the meantime, cold plasma technology, which previously showed exciting results in the skin, is currently being investigated due to its remarkable ability to treat diseases and skin care. This study used the FEDBD plasma device for skin rejuvenation in animal samples. There were two groups of six male Wistar rats. One group was treated with plasma with a power of 3.3 W, and the second group was considered the control group for a better comparison. Plasma processing was done on the back of the neck of mice with an area of 18 square centimeters. So far, complete quantitative measurement has not been done, and few studies have been done. Before starting the treatment, immediately after the treatment, the fourth week, and the tenth week of follow-up, biometric tests were performed, including moisture level, evaporation from the skin surface, erythema and melanin, skin elasticity and firmness with an MPA9 device and cutometer. The thickness and density of the epidermis and dermis, an essential indicator in rejuvenation, were evaluated with a skin ultrasound device. Also, the level of oxygen, perfusion, and interstitial water (edema) was checked using a Tivita tissue hyperspectral camera at a depth of 6 mm of the skin. Active species produced by plasma, plasma temperature, and device power were investigated and recorded using physical tests.
Uncalibrated Eye Gaze Estimation using SE-ResNext with Unconstrained Head Movement and Ambient Light Change
Authors: Fatahipour H. , Mosavi Mohammad Reza , Fariborz J.
Published: March 2023

Technological advances in smartphones, tablets, computer games, virtual reality, metaverse, and other fields have made gaze estimation (GE) using standard hardware more necessary than ever before. It can also be used in other areas such as psychology, increased driving safety, and advertisement. This paper proposes a structure based on convolutional neural networks (CNNs). In this structure, several well-known CNNs are implemented and trained with a section of the GazeCapture dataset for acceleration. The SE-ResNext network, which has the best results in initial training, is selected in the end. The test error for the designated structure is 1.32 cm in training with the entire dataset. The ambient light is an effective factor in GE accuracy. It clearly affects different GE methods. The dataset is divided into low-light and bright-light environment sets to find a solution. The bright-light environment samples are much more abundant than the low-light ones, something which causes a bias in gaze estimator training. Therefore, standard data augmentation methods are employed to increase the number of low-light samples and retrain the gaze estimator. As a result, the GE error is reduced from 1.20 to 1.06 cm for bright-light environments and from 3.39 to 1.87 cm for low-light environments. To examine resistance of the gaze estimator to head movement, the test dataset is manually and intuitively classified into five subsets based on head positions. In this classification, test errors of 1.27, 1.427, 1.496, 1.952, and 2.466 cm are respectively obtained for the frontal, roll to right, roll to left, yaw to right, and yaw to left head positions.
Field Effect Detection by Light Scattering in the Breast Cancer Risk Determination
Authors: Pinto Janeth Fernandez , Torrado Alvaro Gomez , Mercado David Alejandro Miranda
Published: March 2023

Breast cancer is one of the most common causes of death in women worldwide; however, early detection could mitigate theassociated number of deaths, where new screening techniques applicable to the entire risk population are the key to achievingthis goal. By identifying the risk population, it is easier to plan cancer prevention programs and contribute to reducing thenumber of deaths from breast cancer; however, despite new promising technologies for early cancer detection, there arefew proposals available to achieve massively applicable techniques to screen the entire breast cancer risk population. Wepresent a proof-of-concept for screening breast cancer using a noninvasive and potentially low-cost technique that detects thecancerization field effect by spectral analysis (FEDSA) using near-infrared backscattered light. To test the concept of FEDSA todetect cancer, we performed FEDSA measurements in 24 women divided into two groups, the first group of 17 normal womenand the second group of seven women with previously detected abnormalities in the breast; we identified significant differencesin the FEDSA spectra of both groups, suggesting the potential of FEDSA as a promising screening technique for the earlydetection of breast cancer.
A novel model of anoikis-related gene for predicting prognosis and assessing immune status with hepatocellular carcinoma
Authors: Hu Jiahe , Fu Wenchao , Zhang Xiaoling , Zhou Yuxin , Yu Xuefeng , Xu Haitao , Ba Zhichang , Zhang Haoxin , Sun Yanan , Wang Rongfang , Du Xinlian , Mou Ruishu , Li Xuedong , Zhu Jiuxin , Xie Rui
Published: March 2023

Background
Hepatocellular carcinoma (HCC) is one of the highly malignant and aggressive gastrointestinal tumors. Anoikis is a specific form of cell death that is closely related to malignant aggressive behavior of tumors. The role and significance of anoikis-related genes (ANRGs) in HCC deserve to be explored.
Methods
Here, transcriptome profiling and relevant clinical data needed for analysis were collected from public databases. Prognostic model of ANRGs was constructed by using Lasso regression algorithm. Then, patients were given a reasonable risk grouping, and survival analysis was conducted to compare the different survival rates in each risk group. Receiver operating characteristic (ROC) curve was employed to examine the predictive accuracy of the prognostic model. The single sample gene set enrichment (ssGSEA) was carried out to investigate important disease characteristics of each risk group, such as immune status profile and tumor microenvironment differences. The gene set enrichment analysis (GSEA) method was also implemented to complete functional and pathway enrichment analysis. In addition, drug sensitivity analysis and exploration of single cell data for HCC were completed with the aid of online analytical databases.
Results
We successfully created a prognostic model containing 14 ANRGs, namely: ANXA5, BSG, SKP2, BAK1, PHLDA2, CDKN3, SFN, EZH2, HMGA1, PBK, NRAS, SLC2A1, MAD2L1 and CASP2, and observed a lower overall survival in high-risk group. The ROC curve confirmed good performance of this new model in predicting prognosis. The ssGSEA revealed significant differences in tumor immune microenvironment between different risk groups, with higher activity about cancer related pathways in high-risk group. The expression level of immune checkpoint and m6A genes also differed between risk subgroups. These prognostic genes were also be related to chemotherapy susceptibility.
Conclusion
The novel prognostic model identified with ANRGs can be applied to prediction prognostic and assessment immune status profile, tumor microenvironment differences and chemosensitivity in HCC. Rational use of the prognostic new model may provide an important reference for individualized treatment of HCC.
Programmable Nanophotonic Planar Resonator Filter-Absorber based on Phase-Change InSbTe
Authors: Oliveira Israel Alves , de Souza Igor Leonardo Gomes , Esqu Vitaly Felix Rodriguez
Published: March 2023

Reconfigurable plasmonic-photonic electromagnetic devices have been incessantly investigated for their great ability to optically modulate through external stimuli to meet today's emerging needs, with chalcogenide phase-change materials being promising candidates due to their remarkably unique electrical and optics, enabling new perspectives in recent photonic applications. In this work, we propose a reconfigurable resonator using planar layers of stacked ultrathin films based on Metal-dielectric-PCM, which we designed and analyzed numerically by the Finite Element Method (FEM). The structure is based on thin films of Gold (Au), aluminum oxide (Al2O3), and PCM (In3SbTe2) used as substrate. The modulation between the PCM phases (amorphous and crystalline) allows the alternation from the filter to the absorber structure in the infrared (IR) spectrum (1000-2500 nm), with an efficiency greater than 70% in both cases. The influence of the thickness of the material is also analyzed to verify tolerances for manufacturing errors and dynamically control the efficiency of transmittance and absorptance peaks. The physical mechanisms of field coupling and transmitted/absorbed power density are investigated. We also analyzed the effects on polarization angles for Transversal Electric (TE) and Transversal Magnetic (TM) polarized waves for both cases.