bluuebunny/crossref_metadata_2025 huggingface dataset:
Principles of delimitation of speech genres expressing a positive assessment
Authors: Anisimova Tatyana V. , Chubay Svetlana A.
Published: July 2023

We consider the possibility question of an unambiguous distinction between genres close in meaning, included in the same thematic group. The aim of the study is to describe the rhetorical parameters of the genres of praise, approval, compliment and flattery, which are included in the genres group of a positive assessment of a person and his actions, as well as to develop criteria for distinguishing between these genres. All genres belonging to this group are united by the addresser position: he experiences (or pretends to experience) one or another positive attitude, which he wants to notify the addressee about. The rhetorical features of all genres of the group are described in detail and the characteristics by which they can be distinguished are highlighted. Praise is considered to be the group central element of positively evaluative genres. A comparison of praise with other genres shows that the differences most often relate to the object of evaluation (in praise, the object is a person, and in approval, ideas, projects and other products of intellectual activity) and the nature of the assessments used (praise is based on objective assessments, and compliments are based on subjective assessments).
A Few Preliminary Reflections on Religious Studies and Covid-19
Authors: Andriansyah Yuli
Published: July 2023

The pandemic of COVID-19 has had a significant impact on religious studies. Numerous religious studies courses have transitioned to online learning, necessitating instructors to modify their instructional strategies and materials. Virtual worship services have become prevalent, allowing religious communities to adhere to social distancing guidelines while continuing to practice their religion. Religious studies scholars have examined the impact of the pandemic on religious beliefs and practices, including the significance of interfaith cooperation and the crisis's ethical implications. The pandemic has presented scholars, instructors, and practitioners in religious studies with both challenges and opportunities to adapt and respond to changing circumstances.
The Correlation between Neck Pain and Disability, Forward Head Posture and Hyperkyphosis with Opium Smoking in the Most Prevalent Opium Smoking Persian Gulf Country; a Cross-sectional Study from Iran
Authors: Massah Omid , Arab Amir Masoud , Farhoudian Ali , Noroozi Mehdi , Hashemirad Fahimeh
Published: July 2023

Opium smoking for long hours and over many years is common in Iran, and the Covid-19 pan-demic and false beliefs about the protective effects of that opium against COVID-19 infection has caused the increasing of opium smoking during the pandemic. The aim of this study was to in-vestigate the relationship between non-ergonomic positions of traditional opium smoking in Iran with the occurrence of neck pain and disability, forward head posture and hyperkyphosis. In this cross-sectional and correlation study 120 people who smoke opium were selected based on the inclusion criteria and were interviewed about their addiction profile and evaluated for the pres-ence of pain and disability in the neck by Maudsley Addiction Profile, Leeds Dependence Ques-tionnaire, the Visual Analog Scale and Neck Disability Index. Also, they were evaluated about forward head posture (FHP) through side view photography and hyperkyphosis (HK) through flexible ruler. Data were analyzed by correlation coefficient tests and stepwise linear regression. There was a significant relation between homelessness, the duration of lifetime opium smoking (months), the duration of daily opium smoking (minutes) and drug dependence severity with the severity of neck pain, neck disability, forward head posture and hyperkyphosis. Homelessness is the strongest predictive variable of the possibility of neck pain and disability, FHP and HK, fol-lowed by ‘‘the number of months of opium smoking’’ and ‘‘the number of minutes of opium smoking in one day’’ respectively. Increasing the duration of sitting in non-ergonomic positions can lead to neck pain and disability, FHP and HK due to their non-neutral posture in opium smokers.
Researcher Network Visualization Using Matrix Researcher2vec
Authors: Hirata Enna , Yamashita Takahiro , Ozawa Seiichi
Published: July 2023

In this study, we introduce a system called Matrix Researcher2vec (MResearcher2vec) which generates researcher embedding vectors from their papers and research projects in researchmap and KAKENHI databases. The system includes data on 276,841 researchers, 6,161,592 papers, and research projects. Utilizing natural language processing techniques, the MResearcher2vec model extracts researcher vectors from the papers and research project summaries of KAKENHI grant recipients. The similarity between reseachers is then computed to visualize inter-researcher relationships. The machine learning results have been integrated into a web service, providing a novel approach for academic relationship mining. It can be applied in the matching of research contents and researchers in evaluation of industry-government-academia collaboration and joint research. It contributes in four aspects: (1) exchanges between researchers, (2) creation of opportunities for researchers and companies to connect, (3) further promotion of interdisciplinary research, and (4) reduction of lost opportunities for research institutions to acquire talents.
The current status of Group B Streptococcus infection in the reproductive tract of late-pregnancy women and its impact on pregnancy outcomes
Authors: Ma Hui , Xu JingWen , Zhang YanHong , Zhang RenYan , Wu Jie
Published: July 2023

Objective
Analyze Group B Streptococcus (GBS) infection in late-pregnancy pregnant women in Shanghai, the risk factors of GBS infection, and its impact on pregnancy outcomes, providing guidance for early prevention and treatment in clinical practice.
Methods
We selected 12132 late-pregnancy pregnant women admitted from January 2022 to December 2022 as the research subjects. Based on the GBS test results of reproductive tract secretion samples from pregnant women, 210 cases of GBS positive pregnant women were randomly selected as the observation group, and 200 cases of GBS negative pregnant women were selected as the control group. The risk factors of infection and the impact on pregnancy outcomes were compared between the two groups.
Results
The GBS colonization rate of pregnant women in this study was 6.52%;The incidence of Vaginal delivery and Neonatal infection in GBS positive group was significantly higher than that in GBS negative group(P＜0.05); With Neonatal infection as the dependent variable, and the GBS infection, Vaginal delivery and GDM of the elderly and women in late pregnancy as independent variables, the results showed that GBS infection of women in late pregnancy was an independent risk factor for Neonatal infection.
Conclusion
Clinical practice should attach great importance to GBS infection in late pregnancy, strengthen GBS screening in late pregnancy, and actively implement the strategy of intrapartum antibiotic intervention (IAP), which is of great significance in reducing the vertical infection rate of maternal and infant GBS and improving the quality of newborn birth.
Data-Driven Earthquake Multi-Impact Modelling: A Comparison of Models
Authors: Patten Hamish William , Loake Max Anderson , Steinsaltz David
Published: July 2023

A broad range of supervised Machine Learning and parametric statistical, geospatial and non-geospatial models are applied to model both aggregated observed impact estimate count data and satellite image-derived geo-located building damage labelled data, via regression- and classification-based models, respectively. For the former, models are ranked via predictive performance of mortality, population displacement, building damage and building destruction for 161 earthquakes in 61 countries. For the latter, models were ranked via classification performance (damaged/unaffected) of 369,813 geo-located buildings for 26 earthquakes in 15 countries. k-fold, 3-repeat cross validation is utilised to ensure out-of-sample predictive performance. Feature importance on several variables used as proxies for disaster-risk vulnerability indicates covariate utility. The 2023 Türkiye-Syria earthquakes event is shown to be unlike any of the other 161 earthquakes, resulting in high prediction error for the aggregated impact models compared to all other events, reflecting model limitations on extreme events. However, training the building damage classifier AdaBoost model on all except the 2023 Türkiye-Syria earthquakes, predictions on the 27,032 held-out buildings have an AUC of 0.93. Therefore, without any geospatial, building-specific or direct satellite image information, this model accurately classifies building damage, with significantly improved performance over satellite-image trained models found in the literature.
CXXC5 Mitigates P. gingivalis-inhibited Cementogenesis by influencing Mitochondrial Biogenesis
Authors: Ma Li , Wang Huiyi , Huang Xin , Huang Hantao , Peng Yan , Liu Heyu , Wang Xiaoxuan , Cao Zhengguo
Published: July 2023

Background
Cementoblasts are tooth-root surface-lining cells responsible for cementum formation (cementogenesis) and sensitive to Porphyromonas gingivalis stimulation. We have previously proved transcription factor CXXC-type zinc finger protein 5 (CXXC5) participates in cementogenesis. Here, we aimed to elucidate the mechanism of CXXC5 in regulating P. gingivalis-inhibited cementogenesis from the perspective of mitochondrial biogenesis.
Methods
In vivo, mouse periapical lesions were induced in mandibular first molars by pulp exposure, and P. gingivalis was applied into the root canals. In vitro, a cementoblast cell line (OCCM-30) was induced cemengenesis and submitted for RNA-sequencing. These cells were co-cultured with P. gingivalis and examined for osteogenic ability and mitochondrial biogenesis. Cells with stable CXXC5 overexpression were constructed by lentivirus transduction, and PGC-1α (central inducer of mitochondrial biogenesis) was down-regulated by siRNA transfection.
Results
Mouse periapical lesions were enlarged and PGC-1α expression were reduced by P. gingivalis treatment. Upon apical inflammation, Cxxc5 expression decreased with Il-6 upregulation. RNA-sequencing showed enhanced expression of osteogenic markers, Cxxc5, and mitochondrial biogenesis markers during cementogenesis. P. gingivalis suppressed osteogenic capacities, mitochondrial biogenesis markers, mitochondrial (mt)DNA copy number, and cellular ATP content of cementoblasts, while CXXC5 overexpression rescued these effects. PGC-1α knockdown impaired cementoblast differentiation dramatically, confirming the regulatory effects of mitochondrial biogenesis on cementogenesis.
Conclusions
To summarize, CXXC5 is a P. gingivalis-sensitive transcription factor that positively regulates cementogenesis by influencing PGC-1α-dependent mitochondrial biogenesis.
Comparison of T-cell Receptor Diversity of people with Myalgic Encephalomyelitis versus controls
Authors: Dibble Joshua J , Ferneyhough Ben , Roddis Matthew , Millington Sam , Fischer Michael D , Parkinson Nick J , Ponting Chris P
Published: July 2023

Objective:
Myalgic Encephalomyelitis (ME; sometimes referred to as Chronic Fatigue Syndrome or CFS) is a chronic disease without laboratory test, detailed aetiological understanding or effective therapy. Its symptoms are diverse, but it is distinguished from other fatiguing illnesses by the experience of post-exertional malaise, the worsening of symptoms even after minor physical or mental exertion. Its frequent onset after infection might indicate that it is an autoimmune disease or that it arises from abnormal T-cell activation.
Results:
To test this hypothesis, we sequenced the genomic loci of a/d, b and g T-cell receptors (TCR) from 40 human blood samples from each of four groups: severely affected people with ME/CFS; mildly or moderately affected people with ME/CFS; people diagnosed with Multiple Sclerosis, as disease controls; and, healthy controls. Seeking to automatically classify these individuals’ samples by their TCR repertoires, we applied P-SVM, a machine learning method. However, despite working well on a simulated data set, this approach did not partition samples into the four subgroups, beyond what was expected by chance alone. Our findings do not support the hypothesis that blood samples from people with ME/CFS frequently contain altered T-cell receptor diversity.
Brain Target Engagement by CNM-Au8 in Parkinson’s Disease and Multiple Sclerosis: Integrated Imaging Results from the REPAIR-PD and REPAIR-MS Phase 2 Clinical Trials
Authors: Ren Jimin , III Richard B. Dewey , Rynders Austin , Evan Jacob , Evan Jeremy , Ligozio Shelia , Ho Karen S , Sguigna Peter V. , Glanzman Robert , Hotchkin Michael T. , Dewey Richard B. , Greenberg Benjamin M.
Published: July 2023

Impaired brain energy metabolism has been observed in many neurodegenerative diseases, including Parkinson’s disease (PD) and multiple sclerosis (MS). In both diseases, mitochondrial dysfunction and energetic impairment can lead to neuronal dysfunction and death. CNM-Au8® is a suspension of faceted, clean-surfaced gold nanocrystals that catalytically improves energetic metabolism in CNS cells, supporting neuroprotection and remyelination in multiple, independent preclinical models. The objective of the Phase 2 REPAIR-MS and REPAIR-PD clinical trials was to investigate the effects of CNM-Au8, administered orally once daily for twelve or more weeks, on brain phosphorous-containing energy metabolite levels in participants with diagnoses of relapsing MS or PD, respectively. Brain metabolites were measured using 7-Tesla 31P-MRS in two disease cohorts, 11 participants with stable relapsing MS and 13 participants with PD (n = 24 evaluable post-baseline scans). Compared to pre-treatment baseline, the mean NAD+/NADH ratio in the brain, a measure of energetic capacity, was significantly increased by 10.4% after 12 + weeks of treatment with CNM-Au8 (0.584 units, SD: 1.3; p = 0.037, paired t-test) in prespecified analyses of the combined treatment cohorts. Each disease cohort concordantly demonstrated increases in the NAD+/NADH ratio but did not reach significance individually (p = 0.11 and p = 0.14 for the PD and MS cohorts, respectively). Significant treatment effects were also observed for secondary and exploratory imaging outcomes, including beta-ATP and phosphorylation potential across both cohorts. Results demonstrate brain target engagement of CNM-Au8 as a direct modulator of brain energy metabolism, and support the further investigation of CNM-Au8 as a potential disease modifying drug for PD and MS.
Assessing Latent Tuberculosis Infections Prior to Biologic Therapy in Psoriasis: A New Diagnostic Approach with an Online Interpreter
Authors: Metin Zuhal , Özyurt Kemal , Atasoy Mustafa , Yontar Efşan Gürbüz , Ertaş Ragıp , Görgülü Özkan
Published: July 2023

The use of biological agents, particularly anti-TNF-alpha treatments, in psoriasis patients is associated with an elevated risk of tuberculosis (TB). Hence, a comprehensive assessment of latent tuberculosis infection (LTBI) before biologic therapies is imperative. The objective of this study was to evaluate the utility of an online tuberculin skin test (TST)/ interferon-γ release assay (IGRA) interpreter (OI-TST/IGRA) in assessing the risk of LTBI prior to initiating biological therapies in psoriasis patients. One hundred-sixteen psoriasis patients who were previously evaluated for TB by a pulmonologist before being treated with a biologic agent were re-evaluated retrospectively with OI-TST/IGRA (tstin3d.com). Mean positive predictive value (PPV), mean annual risk of development of active tuberculosis (ARDATB), and mean cumulative risk of active tuberculosis (CRATB) values were calculated with OI-TST/IGRA and compared with previous results. Chi-square, Fisher-Freeman-Halton exact tests, Cohen's Kappa, and Mann-Whitney U-test were used in comparisons of groups. The PPV of the LTBI-positive group was significantly higher than the LTBI-negative group. The PPV, ARDATB and CRATB values of the TST size of > 15 mm group were significantly higher than the TST size of 5–9 mm and TST size of 10–15 mm groups. The PPV, ARDATB, and CRATB values of the QuantiFERON-TB Gold In-tube test (QFT-GIT)-positive group were significantly higher than the QFT-GIT-negative group. And the same values of the chest X-ray (CXR)-positive group were significantly higher than the CXR-negative group. The PPV, ARDATB, and CRATB values were positively correlated with QFT-GIT and CXR results. In addition, the PPV was positively correlated with previous LTBI decisions and TSTs. OI-TST/IGRA in which many factors are questioned and PPV, ARDATB, and CRATB values are evaluated together, may be a valuable tool for assessing the risk of active TB in psoriasis patients and preventing overdiagnosis and unnecessary prophylaxis.
In-Context Learning for Data Generation in Aspect-Based Opinion Extraction
Authors: Moreira Johny , Barbosa Luciano
Published: July 2023

In-Context Learning (ICL), a strategy that generates text by passing a list of input-output examples to a Large Language Model, has shown state-of-the-art performance (SOTA) for many Natural Language Processing tasks. In this work, we aim to apply ICL for the synthetic generation of opinionated triples (sentence, aspect, and opinion) to enhance the training of models in two Aspect-Based Sentiment Analysis (ABSA) tasks: Target-oriented Opinion Words Extraction (TOWE) and Aspect-Based Opinion Pair Extraction (AOPE). Our approach first adapts a pre-trained Language Model (LM) to a downstream task using Task-adaptive Pretraining (TAPT). Next, it uses ICL prompting approaches on the adapted LM to generate the opinionated triples. Finally, a post-processing step applies some heuristics to clean and format the triples. We evaluate the quality of these generated samples by augmenting existing benchmark datasets with them and comparing the performance of four SOTA models on these tasks. The results show that these models trained on the generated synthetic data outperform those trained on a small percentage of human-labelled data. We manually inspected these triples with three human raters, which validated their quality.
Assessing PM 2.5 in a Protected Ecosystem in the South Atlantic under Massive Port Activities - Evidence of High Concentrations and Multiple Sources
Authors: Gurgatz Bruno Martins , Natalino Luiza , Albrecht Julia Stefany Chagas , Moreira Camila Arielle Bufato , Garcia Marina Reback , Joucoski Emerson , Godoi Ricardo Henrique Moreton , Martins César C. , Reis Rodrigo Arantes
Published: July 2023

Long-term exposure to atmospheric fine particulate matter (PM2.5) is a major human health concern; respiratory and cardiovascular diseases are the main consequences. In this study, we present the source apportionment of PM2.5 in a large port region in the South Atlantic, located in a Natural Heritage Estuary, which is a particularly sensitive ecosystem and a marine protected area. The PM2.5 mean concentration was 15.26 ± 7.5 µg m− 3, with a range from 0.7 to 41.0 µg m− 3, exceeding both World Health Organization target thresholds 3 and 4, as well as the Air Quality Guideline level. Notably, 10% (n = 34) of the samples exceeded the Brazilian environmental quality threshold for PM2.5 24-hour mean (25 µg m− 3), which is significant since the guidelines recommend a maximum of 3 to 4 exceedance days per year. Bivariate plots with meteorological data and positive matrix factorization (PMF) were employed to estimate the sources of PM2.5 from soluble ions and trace and major metal compositions. The findings suggest that truck activity in a nearby parking lot is the primary source of PM2.5, and the presence of a transportation structure linked to grain transportation was identified as a secondary source. Additionally, the findings of this study demonstrate an urgent need to address the impact of the Brazilian soybean export industry on human health and biodiversity in the region, given the context of excessive PM2.5 concentrations and the risks they presumably pose.
WITHDRAWN: Association between serum C1q and the efficacy of immune checkpoint inhibitors in patients with advanced non-small cell lung cancer
Authors: Tang Jiazhuo , fu yang , Song Yuxiao , Yin Jiaxin , Wang Jun , Bicheng Zhang
Published: July 2023

Objective
To evaluate the association between serum complement component 1q (C1q) and the efficacy of immune checkpoint inhibitors (ICIs) in patients with advanced non-small cell lung cancer (NSCLC).
Methods
Baseline characteristics and laboratory data of the patients with advanced NSCLC who received ICIs in the Renmin Hospital of Wuhan University from July 2018 to January 2023, were collected for the evaluation of survival analysis. The efficacy was estimated according to the response evaluation criteria in solid tumors (RECIST) 1.1. Kaplan-Meier method and Log-rank test were used for progression-free survival (PFS) and overall survival(OS). Univariate and multivariate Cox proportional hazard regression models and t-test were used to testify the correlation of survival with serum C1q levels and clinical characteristics.
Results
A total of 168 patients were included in this study, of which 39 patients achieved objective response [2 of complete response (CR), 37 of partial response (PR)], and 111 patients (66.07%) had the best efficacy of stable disease (SD). The objective response rate (ORR) was 23.21% and the disease control rate (DCR) was 89.28%. There was no correlation between pre-treatment C1q and PFS (P = 0.515) or OS (P = 0.185). Patients whose PFS longer than median PFS showed lower post-treatment serum C1q levels (P = 0.025). The median PFS of patients whose post-treatment serum C1q level ≥ 75th percentile of total was significantly shorter (P = 0.029). Moreover, the change of C1q levels between pre-treatment and post-treatment was strongly associated with the PFS and OS. In addition, the median PFS of patients whose age < 75 years old (P = 0.020) or Eastern Cooperative Oncology Group performance status (ECOG-PS) score 0–1 (P = 0.001) was significantly longer. The median OS of patients whose ECOG-PS score 0–1 (P < 0.001), or without brain metastasis (P = 0.036), or accepting previous chemotherapy was significantly longer.
Conclusion
This research showed that increasing serum C1q and ECOG-PS ≥ 2 may be related to a worse efficacy of NSCLC immunotherapy.
Pollinators and Other Insect Visitations on Native and Ornamental Perennials in Two Landscapes
Authors: Torrez Veronica Calles , B. Beauzay Patrick , McGinnis Esther E. , Knudson Alexander H. , Laschkewitsch Barbara , Hatterman-Valenti Harlene , Knodel Janet J.
Published: July 2023

Many pollinator insects, especially honey bees [Apis mellifera Linnaeus (Apidae)] and wild bees, are experiencing population decline because of forage and habitat losses. Planting perennial flowering taxa is one method of increasing pollinator habitat. The objectives of this study were to evaluate the potential of 27 native species and ornamental perennial cultivars to determine their ability to attract insect pollinators in a rural and an urban landscape in North Dakota, assess the potential of these perennials to attract other beneficial insects and insect pests, and identify the bee species visiting these perennials. Five to eight native species and/or ornamental cultivars each from four genera, Monarda L. (bee balm), Hylotelephium H. Ohba (stonecrop), Baptisia Vent. (wild indigo), and Symphyotrichum Nees (aster), were tested. Weekly observations of individual plants during flowering and their pollinator visitations from 2018 to 2020 indicated that insect pollinators were present for the earliest flowering perennials in June and until the latest flowering perennials during the second week of October or the first freeze. A total of 16,194 insect pollinators were observed, and 87.8% of these pollinator visitations were Hymenoptera and Diptera. Significant landscapes × perennial flowering taxa interactions were detected for all insect groups, except for syrphid flies, for which both main effects were significantly different. Overall, honey bees and beetles preferred to visit Hylotelephium and Symphyotrichum. The wild bees, lepidopterans, and syrphids preferred Hylotelephium, Symphyotrichum, and Monarda. Tachinids preferred Symphyotrichum. Blow flies preferred Hylotelephium. More beneficial insect visitations (i.e., 96.0%) and fewer insect pest visitations (i.e., 30.4%) were counted on the rural landscape. A total of 3311 bee individuals were identified as species from the following families: Apidae, Andrenidae, Colletidae, Megachilidae, and Halictidae. Thirty-one and 21 bee species were unique to the rural and urban landscapes, respectively. The two most common wild bees were Ceratina calcarata Robertson on the cultivar S. oblongifolium (Nutt.) G.L. Nessom October Skies and Lasioglossum imitatum (Smith) on some Monarda and Hylotelephium. These findings suggest that pollinator visitations are influenced by the landscape and varied among the perennial flowering taxa in some cases. However, all evaluated perennial flower taxa would be suitable for attracting and supporting pollinators in rural or urban landscape settings in the northern Great Plains.
Legal provision on the use of exotic species in forest restoration: eucalyptus leaf decomposition in different Brazilian savannah formations
Authors: Silva Sarah C. , Valadão Marco B. X. , Inkotte Jonas , Ribeiro Fabiana P. , Miguel Eder P. , Gatto Alcides
Published: July 2023

The Brazilian federal law has established norms for vegetation protection in 2012 for the planting of exotic species for the restoration of altered areas. Given the large number of areas to be recovered in the savannah biome in Brazil (e.g., Cerrado), the use of fast-growing species and high biomass production (e.g., Eucalyptus spp.) has been earnestly considered. However, the recommendation of this exotic species must be scientifically supported. This work aimed to evaluate the decomposition process of eucalyptus leaf litter in three different phytophysiognomies in the Cerrado biome (Brazilian Savannah) with three different formation type: Typical Cerrado, Savannah Forest, and Gallery Forest. The leaf decomposition was evaluated by the litter bags that were collected from October 2017 to October 2018. The difference between the initial mass and the masses was evaluated at the different collection periods. After one year, we determined the decomposition rate and the constant k using the exponential equation proposed by Olson. The decomposition rate of eucalyptus leaves was high in the three Cerrado formations. The shortest decomposition time was observed in Gallery Forest. The results showed that the main types of Cerrado formation effectively assimilate the organic material to be deposited in the soil. Thus, the study demonstrated the feasibility and legal provision of using exotic species, e.g., eucalyptus in the arduous mission of recovering degraded forest environments
Physiological quality of oat seeds produced by plants treated with mesotrione or tembotrione
Authors: Souza Gesieli Priscila Buba, Clovis Arruda , Cigel Camila , Fernandes Franciele Fátima , Coelho Cileide Maria Medeiros
Published: July 2023

Selective herbicides may cause plant stresses as a result of changes in plant physiology or seed formation and development processes, thus affecting the quality of seeds. Thus, the aim of this study was to assess the effect of application of increasing doses of mesotrione or tembotrione on the physiological quality of white oat seeds from different cultivars. It is a field experiment carried out in two crop years (2019 and 2020), in a split split-plot randomized block design. The main plots consisted of the cultivars: FAEM 007, IPR Afrodite, UPFA Fuerza and URS Monarca. The subplots were mesotrione and tembotrione; and sub-subplots were doses of each herbicide: 0x;1/4x; 1/2x, 1x and 2 x (x= recommended commercial doses for maize, equivalent to 168.0 g a.i. ha-1 for mesotrione and 88.2 g a.i. ha-1 for tembotrione). Seed germination was 1% lower after application of the 2x dose of the herbicides, compared with control, i.e., there was a slight reduction in the germination of seeds produced in 2019. There was a significant effect of cultivar on germination and vigor. The cultivar UPFA Fuerza showed better performance than the other cultivars, with 96% germination index (GI) and 94% accelerated aging (AA) in 2019, while the best performance in 2020 was achieved by URS Monarca, with 98% GI and 97% AA. It was concluded that the oat seeds had high physiological quality in all treatments tested. The germination and vigor of oat seeds depended on the genotype being used, especially UPFA Fuerza (2019) and URS Monarca (2020), but they were not affected by the herbicides and doses tested
Plantlet quality of Coffea canephora propagated vegetatively from different stem cutting types
Authors: Silva Cleidson Alves da , Santos Millena Monteiro dos , Stocco Matheus André Partelli , Carvalho Gladyston Rodrigues , Vieira Henrique Duarte , Partelli Fábio Luiz
Published: July 2023

Coffea canephora trees are grown from cutting-derived plantlets. Thus, the objective was to evaluate the performance of C. canephora plantlets propagated by stem cuttings with different models. The experiment to assess the plantlet performance in the nursery stage was arranged in a completely randomized design and that of the early field development in randomized blocks. The four evaluated treatments consisted of different cutting types with different number of nodes, number of leaves and presence or absence of the apical bud. In the nursery phase, characteristics related to the shoot and root development of the plantlets and the shoot characteristics of the early field development were evaluated. The data were subjected to analysis of variance by the F test (p≤0.05) and the means compared by the Tukey test at 5% probability. The hierarchical clustering method UPGMA was applied to detect the similarity between treatments considering all studied variables. The plantlets grown in the treatments with cuttings with two leaf pairs, with and without the apical bud, and the treatment with three leaf pairs with the apical bud were superior to those grown by the conventional method in the nursery phase. The plantlets grown from cuttings with two leaf pairs and the presence of the apical bud stimulated the early field development of coffee trees. Thus, it is suggested not to cut the apical bud on the cutting, since it would bring better seedling quality and without additional costs for its production
Predictive Modelling of Overall Survival in Adult Patients with Primary
Diffuse Large B-cell Lymphoma of the Breast Using the Surveillance,
Epidemiology, and End Results (SEER) Database
Authors: Liu Yishuai , Han Haifeng , Wei Hong , Wang Xinlong , Luan Zhaotang , Jiang Kun
Published: July 2023

Objective:

We aimed to identify critical clinical features to develop an accurate webbased
prediction model for estimating the overall survival (OS) of primary breast diffuse large Bcell
lymphoma (PB-DLBCL) adult patients.

Methods:

We first included all PB-DLBCL cases with available covariates retrieved from the Surveillance,
Epidemiology, and End Results database. We sequentially performed univariate and
multivariate Cox regression approaches to identify the predictors independently associated with
prognosis, and all the predictors that passed these tests were then constructed to build a nomogram
for predicting 3-, 5-, and 10-year survival rates of patients. The C-index and the receiver operating
characteristic curve (ROC) were used to evaluate the prediction discrimination, and the calibration
curve was applied to estimate the calibration.

Results:

A total of PB-DLBCL adult patients were included (median age was 69 with the interquartile
range [IQR] of 57-79 years), of which 466 (70%) were randomly allocated to the development
cohort, and the remaining cases were collected for validation. Using three identified independent
predictors (i.e., age, stage, and radiation), an accurate nomogram for predicting OS was
developed and validated. The C-indices of our nomogram were both relatively acceptable, with
0.74 (95% CI: 0.71-0.78) and 0.72 (95% CI: 0.70-0.75) for the development and validation cohorts,
respectively. The calibration curves also accurately predicted the prognosis of PB-DLBCL
in all cases. In addition, ROC curves showed our nomogram to possess superior predictive ability
compared to any single variable. To visually present this prediction model, a convenient webbased
tool was implemented based on our prognostic nomogram.

Conclusion:

For patients with PB-DLBCL, a more convenient and accurate web-based prediction
model was developed and validated, which showed relatively good performances in both discrimination
and calibration during model development and validation. External evaluation and validation
are warranted by further independent studies.
Спектральные проявления механизмов межмолекулярного взаимодействия модифицированных малеимидом полиэлектролитных капсул, используемых в таргетной терапии
Authors: Пластун И.Л. , Захаров А.А. , Наумов А.А.
Published: July 2023

Mechanisms of intermolecular interaction between components of polyelectrolyte target delivery capsules and maleimide, which enhances the therapeutic action of the capsule, are investigated by quantum chemical modeling methods based on Density Functional Theory (DFT). Molecules of polymer polyelectrolyte capsule components - polyarginine and dextran sulfate and maleimide molecule are investigated. Based on calculation of molecular complexes structures and corresponding IR spectra with analysis of formed hydrogen bonds parameters it was revealed that there was a strong enough hydrogen bonding between maleimide and arginine, included in capsule composition. This allows us to conclude that modification of arginine with maleimide promotes stronger hydrogen bonding with amino acids contained in human body, which is confirmed by calculations, and gives the possibility of using maleimide as an "anchor" to hold the capsule in the tissue.
Спектрально-люминесцентные характеристики растворенного органического вещества в меромиктических водоемах Кандалакшского залива Белого моря
Authors: Соколовская Ю.Г. , Жильцова А.А. , Краснова Е.Д. , Воронов Д.А. , Пацаева С.В.
Published: July 2023

The optical properties of chromophoric dissolved organic matter (CDOM) of natural water have been studied by fluorescence spectroscopy and absorption spectroscopy. Samples of natural water from various depths from the meromictic lakes Trekhtzvetnoe and Elovoe were taken. The dependences of the quantum yield and the maximum of fluorescence emission on the excitation wavelength in a wide range of excitation wavelength variation (250...500 nm) for different horizons of stratified reservoirs are obtained. It is shown that the dependences of the maximum of the fluorescence emission on the excitation wavelength and the dependences of fluorescence quantum yield on the excitation wavelength in both lakes and at all depths studied are similar. On the other hand, the absolute value of the quantum yield differs in different layers of water. For example, the values of the fluorescence quantum yield took values from 1.4% to 2.4% at an excitation wavelength of 340 nm. The similar nature of the dependence of the fluorescence intensity on the excitation wavelength is explained by the common origin of DOM fluorophores in the studied horizons of stratified lakes. The different values of the fluorescence quantum yield are due to the difference in the proportion of aromatic compounds in the composition of the CDOM and are associated with differences in the hydrochemical characteristics of water at different horizons.
Сочетание полого сапфирового волновода и иммерсионной линзы для ТГц эндоскопии сверхвысокого разрешения
Authors: Кучерявенко А.С. , Желнов В.А. , Черномырдин Н.В. , Курлов В.Н. , Зайцев К.И. , Катыба Г.М.
Published: July 2023

The development of terahertz (THz) imaging methods is hampered by the low spatial resolution of traditional diffraction-limited imaging systems, mainly due to the large wavelength of used radiation (from a few of mm to tens of µm). To solve this problem, we have proposed a new method of THz endoscopy with subwavelength spatial resolution, which is designed to study hard-to-reach areas of living organisms in vivo. A hollow-core sapphire tube with polytetrafluoroethylene outer coating is used as a waveguide, in which the antiresonant principle of radiation transmission is implemented. The waveguide and the immersion lens are optimized to provide high optical characteristics in a given wavelength range to ensure the best focusing. Two immersion lenses made of sapphire and silicon were developed and fabricated, which were then mounted on plane-parallel windows fixed on the rear end of the waveguide. The study of the field intensity distribution on the shadow side of the “waveguide–lens” system revealed a focal spot diameter of ≃0.2λ in the case of a lens made of sapphire and ≃0.3λ in the case of a lens made of crystal silicon at a wavelength λ = 500 µm, which significantly exceeds the Abbe diffraction limit. This agrees with our numerical predictions and demonstrates the promise of using the proposed endoscope for measurements with subwavelength resolution.
A unified framework to identify demographic buffering in natural populations
Authors: Santos Gabriel , Gascoigne Samuel , Dias André , Kajin Maja , Salguero-Gomez Roberto
Published: July 2023

The Demographic Buffering Hypothesis (DBH) predicts that natural
selection reduces the temporal fluctuations in demographic processes
(such as survival, development, and reproduction), due to their negative
impacts on population dynamics. However, a comprehensive approach that
allows for the examination of demographic buffering patterns across
multiple species is still lacking. Here, we propose a three-step
framework aimed at identifying and quantifying demographic buffering.
Firstly, we categorize species along a continuum of variance based on
their stochastic elasticities. Secondly, we examine the linear selection
gradients, followed by the examination of nonlinear selection gradients
as the third step. With these three steps, our framework overcomes
existing limitations of conventional approaches to identify and quantify
demographic buffering, allows for multi-species comparisons, and offers
insight into the evolutionary forces that shape demographic buffering.
We apply this framework to mammal species and discuss both the
advantages and potential of our framework.
Multi-scale hybrid and agent-based modeling of cell differentiation
Authors:   Fundamental and Applied Mathematics Laboratory, Ain Chock Faculty of Sciences, Hassan II University, Benmir M. , Bellaj K. ,   Fundamental and Applied Mathematics Laboratory, Ain Chock Faculty of Sciences, Hassan II University, Boujena S. ,   Fundamental and Applied Mathematics Laboratory, Ain Chock Faculty of Sciences, Hassan II University, Volpert V. ,   Camille Jordan Institute, UMR 5208 CNRS, University Lyon 1
Published: July 2023

In this work we propose a hybrid model of cell population dynamics, where cells are considered as discrete elements whose dynamics depending on the intracellular and extracellular regulation. The model takes into account different cell types which include undifferentiated cells and two types of differentiated cells. We use a simulation algorithm based on the dynamical systems approach on the one hand, and the multi-agent approach on the other hand. Both approaches have been implemented using NetLogo and Python. We discuss cell choice between two types of differentiated cells and analyze the coexistence of cell lineages.
Deep learning for photovoltaic panels segmentation
Authors:   FST, Cadi Ayyad University, L2IS, Marrakesh, Morocco, Bouzaachane K. , Darouichi A. ,   FST, Cadi Ayyad University, L2IS, Marrakesh, Morocco, El Guarmah E. ,   Royal Air School, Mathematics and Informatics Department, L2IS, Marrakesh, Morocco
Published: July 2023

Due to advanced sensor technology, satellites and unmanned aerial vehicles (UAV) are producing a huge amount of data allowing advancement in all different kinds of earth observation applications. Thanks to this source of information, and driven by climate change concerns, renewable energy assessment became an increasing necessity among researchers and companies. Solar power, going from household rooftops to utility-scale farms, is reshaping the energy markets around the globe. However, the automatic identification of photovoltaic (PV) panels and solar farms' status is still an open question that, if answered properly, will help gauge solar power development and fulfill energy demands. Recently deep learning (DL) methods proved to be suitable to deal with remotely sensed data, hence allowing many opportunities to push further research regarding solar energy assessment. The coordination between the availability of remotely sensed data and the computer vision capabilities of deep learning has enabled researchers to provide possible solutions to the global mapping of solar farms and residential photovoltaic panels. However, the scores obtained by previous studies are questionable when it comes to dealing with the scarcity of photovoltaic systems. In this paper, we closely highlight and investigate the potential of remote sensing-driven DL approaches to cope with solar energy assessment. Given that many works have been recently released addressing such a challenge, reviewing and discussing them, it is highly motivated to keep its sustainable progress in future contributions. Then, we present a quick study highlighting how semantic segmentation models can be biased and yield significantly higher scores when inference is not sufficient. We provide a simulation of a leading semantic segmentation architecture U-Net and achieve performance scores as high as 99.78%. Nevertheless, further improvements should be made to increase the model's capability to achieve real photovoltaic units.
A game theory approach for joint blind deconvolution and inpainting
Authors:   LMCSA, FSTM, Hassan II University of Casablanca, Nasr N. , Moussaid N. ,   LMCSA, FSTM, Hassan II University of Casablanca, Gouasnouane O. ,   LMCSA, FSTM, Hassan II University of Casablanca
Published: July 2023

In this paper we propose a new mathematical model for joint Blind Deconvolution and Inpainting. The main objective is the treatment of blurred images with missing parts, through the game theory framework, in particular, a Nash game, we define two players: Player 1 handles the image intensity while Player 2, operates on the blur kernel. The two engage in a game until the equilibrium is reached. Finally, we provide some numerical examples: we compare the efficiency of our proposed approach to other existing methods in the literature that deals with Blind Deconvolution and Inpainting separately.
PROMETHEE filter-based method for microarray gene expression data
Authors:   Department of Mathematics and Computer Science, Fundamental and Applied Mathematics Laboratory, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco, Ouaderhman T. , Aaboub F. ,   Department of Mathematics and Computer Science, Fundamental and Applied Mathematics Laboratory, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco, Chamlal H. ,   Department of Mathematics and Computer Science, Fundamental and Applied Mathematics Laboratory, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
Published: July 2023

Gene expression datasets have been successfully applied for a variety of purposes, including cancer classification. The challenges faced in developing effective classifiers for expression datasets are high dimensionality and over-fitting. Gene selection is an effective and efficient method to overcome these challenges and improve the predictive accuracy of a classifier. Based on PROMETHEE, this paper introduces a multi-filter ensemble approach by integrating the results of two potential filters namely MaCΨ-filter and PCRWG-filter to pre-select the most informative genes. Experiments were conducted on nine microarray datasets to demonstrate the performance of the proposed method.
Enhancing image inpainting through image decomposition and deep neural networks
Authors:   Fundamental and Applied Mathematics Laboratory, Department of Mathematics and Computer Sciences, Ain Chock Science Faculty, Bellaj K. , Benmir M. ,   Fundamental and Applied Mathematics Laboratory, Department of Mathematics and Computer Sciences, Ain Chock Science Faculty, Boujena S. ,   Fundamental and Applied Mathematics Laboratory, Department of Mathematics and Computer Sciences, Ain Chock Science Faculty
Published: July 2023

A new approach to inpainting problems that combines domain decomposition methods (DDM) with deep neural networks (DNN) to solve partial differential equations (PDE) is presented. First, this article examines different existing and emerging approaches to inpainting while emphasizing their advantages and disadvantages in a unified framework. After that, we introduce an algorithm that highlights the combination of DDM and DNN techniques for solving PDEs of a proposed mathematical inpainting model. For this model, the modified approach that has been adopted uses the DNN method which is based on convolutional neural networks (CNN) to reduce the computational cost in our algorithm while maintaining accuracy. Finally, the experimental results show that our method significantly outperforms existing ones for high-resolution images in paint stains.
Creating Quantitative Regulation Principles of the Heating Networks’ Parameters Based on the Life Cycle Analysis
Authors: Tikhomirov A. L. , Pirozhnikova A. P.
Published: July 2023

Materials and Methods. The elaboration of the heating networks should be carried out in compliance with the currently enacted Code of Practices “Information modeling in construction. Rules for the objects’ information model creation at different stages of the life cycle». The life cycle can be divided into four stages. It is noted that each type of digital information model at each stage of the life cycle correlates with the certain level of elaboration, which envisages the minimum of geometric, spatial, quantitative and attributive data necessary to solve the task of information modeling at a specific stage of the object's life cycle.Results. 4th generation heating supply technologies allow reducing the temperature of the heat-carrying agent, hereby creating conditions for commencing the heating networks’ transit to the low temperature type of systems. As a result, reducing the heat carrying agent’s temperature, allows using more flexible polymer materials for the pipelines. In addition, application of the comprehensive approach to the heating networks innovative development is the important prerequisite for further development of the district heating infrastructure and technologies.Discussion and Conclusions. The main focus for improving the heating sector development should lie in the elaboration and implementation of the new technologies and digital information models, which will improve the quality of thermal energy generation, transportation and distribution.