bluuebunny/crossref_metadata_2025_split huggingface dataset:
Concept «grade-stage» in morphological diagnostics of chronic colitis in inflammatory bowel disease
Authors: Tertychnyy A. S. , Akhrieva Kh. M. , Pachuashvili N. V. , Urusova L. S. 
Published: November 2023

Purpose: to propose a new approach in the morphological diagnosis of colitis using the categories grade and stage to clarify and decipher the diagnosis of chronic colitis and improve the quality of biopsy diagnostics.Materials and methods. The study included 100 cases of inflammatory bowel disease (IBD) diagnosed between 2017 and 2021 (70 cases of ulcerative colitis and 30 cases of Crohn's disease). The age of the patients ranged from 19 to 53 years. In all cases, the diagnosis was established on the basis of a complex of clinical, laboratory and instrumental diagnostic methods. Multiple biopsies were obtained in all patients during colonoscopy. The processing of the biopsy material was carried out according to the generally accepted method. To evaluate plasma cells, an IHC study with antibodies to CD138 (syndecan-1) (Dako RTU) was additionally performed.Results. In the course of the study, a gradation of morphological criteria was carried out, which are decisive in the diagnosis of chronic colitis in patients with IBD. The concept of chronic colitis as a process characterized by the grade of severity and stage of chronic inflammation has been revised and re-formulated. Criteria of structural disorders (stage of colitis from 0 to 3) and criteria of severity of chronic inflammatory infiltrate (grade of colitis from 0 to 3) were identified and graded. Additionally, an attempt was made to objectify the selected criteria using an IHC study using antibodies to CD138 plasma cells (syndecan-1). Based on the material of colonobiopsies, the proposed degree-stage approach was tested in the group of colitis in patients with IBD, which showed the possibility of its practical application.Conclusion. The proposed concept will be able to improve the quality of biopsy diagnostics and avoid unjustified use of the term "chronic colitis" without further elaboration and, accordingly, its frequent unjustified use existing at the moment.
PROLIFERATION AND APOPTOSIS IN RAT MODELS OF ORAL SQUAMOUS CELL CARCINOMA INDUCED BY CAPSAICIN EXTRACT NANOPARTICLE GEL
Authors: Widyaningsih Pratiwi Nur , Aniowati Fitri , Naim Cantika Nadrotan , Anggraeni Nova Dwi 
Published: November 2023

Background: Oral Squamous Cell Carcinoma (OSCC) is highly invasive neoplasm of oral epithelial tissue that is moderately differentiated and tends to metastasize rapidly. Capsaicin, a pungent phytochemical in red peppers, exhibits both anti-proliferative and potential pro-cancer effects on human cancer cell lines. Purpose: Determine the proliferation and apoptosis between five groups of rats induced OSCC. Method: 5 groups of treatment; C- (untreated rats), C+ (induced by DMBA), E1 (exposed to DMBA and given cisplatin), E2 (induced by DMBA and Capsaicin extract nanoparticle gel with 1% concentration), and E3 (induced by DMBA and Capsaicin extract nanoparticle gel with a concentration of 3.3%). Maceration method was used to obtain Capsaicin extract from green cayenne pepper, then made into nanoparticle gel. Tissue samples were taken after the treatment was completed, then they were pathologicallyobserved histopathological using IHC to assess apoptic activity via the TUNEL method and proliferative activity using PCNA. Result: The proliferative activity in the E1 group had a significant difference compared to the E2 and E3 groups. E2 and E3 were not significantly different (p-value ≥0.05). Apoptotic activity in Group E1 indicated a significant difference from the E2 group and was not significantly different from the E3 group, whereas the E2 and E3 groups were significantly different from each other (p-value ≤0.05). Conclusion: The research showed that Capsaicin nanoparticle gel increased apoptotic activity while decreasing proliferative activity in different treatment groups of the OSCC rat model.
THE ANALYSIS OF INTERINCISAL AND VERTICAL ANGLES ON CONVEX FACIAL PROFILE ACCORDING TO STEINER (STUDY OF JAVANESE ORTHODONTIC PATIENTS IN BANYUMAS REGENCY)
Authors: Aisyah Dewi Kusuma Nur , Handayani Fani Tuti , Budi Purnama Ryana , Taqwim Ali , Rachel Keshena Jatu 
Published: November 2023

Background: Orthodontic treatment focuses on correcting abnormal teeth and jaw positions for better facial esthetics. Abnormal teeth can be corrected by interincisal angle, while vertical angle can determine the facial growth pattern. Purpose: Analyze the interincisal and vertical angles on convex facial profiles of Javanese orthodontic patients in the Banyumas Regency. Method: Analytical descriptive research was conducted with a cross-sectional design. A purposive sampling technique was used to obtain lateral cephalograms totaling 33 based on inclusion and exclusion criteria from three locations. The lateral cephalogram was traced using tracing paper, while the interincisal and vertical angles were measured based on Steiner’s analysis. Two operators carried out measurements, starting with tracing validation and the Kappa test. Furthermore, the results were from the average measurement of the two operators. Result: The mean interincisal and vertical angles were 115.30° and 37.04° with a protrusive inclination and hyperdivergent face, respectively. The correlation test showed a p-value of 0.432 (p > 0.05), meaning there was no relationship between the interincisal and vertical angles in Javanese orthodontic patients. Conclusion: There is no relationship between the interincisal and vertical angles in the convex facial profile of Javanese orthodontic patients in the Banyumas Regency.
Predicting the risk of heatstroke: Development of a highly accurate model
Authors: Nemoto Mio , Hirabayashi Satoshi , Sato Seisho , Fujii Akihiro , Nojiri Hidetoshi , Ihara Tomohiko 
Published: November 2023

Abstract
In Japan, a heat health warning system is in operation to reduce heat-related mortality and morbidity caused by global climate change. However, warnings are issued uniformly throughout the country under the same conditions, resulting in low accuracy in some areas. To reduce heat-related mortality and morbidity, accurate models for predicting the number of people transported by ambulance due to heatstroke, a precursor to death, must be developed. This study compared three methods for predicting heatstroke risk: multiple regression analysis, a generalised additive model, and time-stratified case-crossover analysis (TC). Heatstroke susceptibility is likely to depend on year-wise trends and sensitivity to training data. Most previous models, however, only tested a small amount of training data. In this study, we looked into the best number of years to use as training data. Error-influencing factors in the training data were identified by comparing the errors of each method. The TC errors were significantly less sensitive to the training data than the others (p <0.01). When data from three to four years after the most recent data were included, the accuracy of all three methods tended to decrease. Consequently, a highly accurate prediction model with low sensitivity to training data was developed using the odds ratios produced by TC, which was impossible with previous models. This modelling approach will help improve heat-health warning systems, reducing heatrelated mortality and morbidity and can be used to make each area safer in the future.
Network analysis of depressive and anxiety symptoms in older Chinese adults with diabetes mellitus
Authors: Zhang Yajuan , Cui Yi , Li Yijun , Lu Hongliang , Huang He , Sui Jiaru , Guo Zhihua , Miao Danmin 
Published: November 2023

Abstract
Background: The move away from investigating mental disorders as whole using sum scores to the analysis of symptom-level interactions using network analysis has provided new insights into comorbidity.The current study explored the dynamic interactions between depressive and anxiety symptoms in older Chinese adults with diabetes mellitus (DM) and identified central and bridge symptoms in the depression-anxiety network to provide targets for prevention and intervention into depression and anxiety.
Methods: This study used a cross-sectional design with data from the 2017–2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). A regularized partial correlation network for depression and anxiety was estimated based on self-reported scales completed by 1685 older adults with DM aged 65 years or older. Expected influence (EI) and bridge expected influence(BEI) indices were calculated for each symptom.
Results: The prevalences of depression and anxiety in our sample were 52.9% and 12.8%, respectively. The comorbidity rate of depression and anxiety was 11.5%. The six edges with the strongest regularized partial correlations were between symptoms from the same disorder. “Feeling blue/depressed”, “Nervousness or anxiety”, “Uncontrollable worry”, “Trouble relaxing”, and “Worry too much” had the highest EI values. “Nervousness or anxiety” and “Everything was an effort” exhibited the highest BEI values.
Conclusion: Central and bridge symptoms were highlighted in this study. Targeting these symptoms may be effective in preventing the comorbidity of depressive and anxiety symptoms and facilitate interventions in older Chinese adults with DM who are at risk for or suffer from depressive and anxiety symptoms.
An evidential deep learning framework for assessment of mammograms
Authors: Gudhe Raju Naga , Mazen Sudah , Sund Reijo , Kosma Veli-Matti , Behravan Hamid , Mannermaa Arto 
Published: November 2023

Abstract

In this study, we present an evidential deep learning framework called MV-DEFEAT, incorporating the strength of Dempster-Shafer evidential theory and subjective logic, for various mammogram assessment tasks, including mammogram density assessment, BIRADS scoring, and mammogram finding as normal/benign/malignant. The framework combines evidence from multiple mammogram’s views to mimic a radiologist’s decision-making process. We conducted experiments on two open-source digital mammogram datasets, VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography and the Digital Database for Screening Mammography (DDSM), which include 5,000 and 1,975 mammogram examinations, respectively. Our results showed that MV-DEFEAT achieves weighted macro-average area under the receiver operating characteristic curves (AUCs) of 98.92 ± 0.007 and 86.53 ± 0.051 for mammogram density assessment on the VinDr-Mammo and DDSM datasets, respectively, which are considerably better than a state-of-the-art multi-view deep learning method with AUCs of 86.38 ± 0.258 and 70.62 ± 0.261. In addition, MV-DEFEAT demonstrated strong generalization for mammogram density assessment on two independent and unseen datasets, the Chinese Mammography Database (CMMD) and Virtual Tissue Biobank (VTB). Furthermore, we demonstrated the efficient feature representation of the MV-DEFEAT that could be transferred to a breast cancer stage classification task using the unseen Kuopio Osteoporosis Risk Factor and Prevention study (OSTPRE) dataset. Our results enhance trust in using deep learning algorithms to assess mammograms in clinical settings.
Pacemakers of extreme floods during warmer and wetter climates of the “Wild Nile” stage
Authors: Blanchet Cecile , Ionita Monica , Ramisch Arne , Tjallingii Rik , Brauer Achim , Laruelle Louison , Bagge Meike , Klemann Volker 
Published: November 2023

Abstract

Understanding how large river systems will respond to an invigorated hydrological cycle as simulated under higher global temperatures is a pressing issue. We present here a 1500 yr-long annually-laminated (varved) record that tracks the seasonal discharge of the Nile River during the wetter- and warmer-than-present Early Holocene. This unique record depicts the mobilization of large amounts of sediments during strong summer floods that probably rendered the Nile valley inhabitable. More frequent and rapid switching between extreme (strong and weak) floods between 9.2 and 8.5 ka BP indicate highly instable fluvial dynamics. On interannual timescales, flood variability is paced by El Niño-Southern Oscillation while multi-decadal oscillatory modes drive the changes in extreme flood events. These pacemakers are also identified in Nile flow records from the Common Era, which demonstrates their stationarity under different climatic conditions.
Alternative Approach for Deriving an Unconventional Distance Protection Algorithm
Authors: Araújo Marcos R. 
Published: November 2023

Abstract

This work presents an alternative approach for deriving an unconventional distance protection algorithm suitable for long single-circuit transmission lines. Such approach is based on the application of Kirchhoff's Laws to a system modeled in the frequency domain. The electric power system considered and the steps of the protection algorithm deduction approach are detailed. As a result, the same input signals from the literature are obtained, which demonstrates the adequacy of such methodology to different systems.
Effectiveness of a blended school-based mindfulness program for the prevention of co-rumination and internalizing problems in Dutch secondary school girls: a Cluster Randomized Controlled Trial
Authors: Vuijk Patricia , Bul Kim , Buil Marieke , Rauws M , Curie Keshia , Amesz Char , Weerheijm R , Riper Heleen 
Published: November 2023

Abstract
Background: A growing body of literature indicates that adolescent girls who talk with close friends about interpersonal problems or worries in an excessive, speculative way and with an intense focus on distress (i.e., co-rumination) are at heightened risk for developing internalizing symptoms and disorders as well as reduced friendship quality. However, to date, there are no prevention programs available that target high levels of co-rumination between adolescent girls. As such, we developed the blended school-based mindfulness prevention program Happy Friends, Positive Minds (HFPM) that targets co-rumination at the dyadic level, i.e., between two close female friends. The aim of this trial is to evaluate the effectiveness of HFPM to reduce co-rumination and internalizing problems and to enhance wellbeing and social-emotional behavior in Dutch adolescent girls.
Methods: A cluster Randomized Controlled Trial (cRCT) will be conducted to evaluate HFPM effectiveness. We will recruit 160 female friendship dyads (n = 320 girls) aged 13 to 15 years who will be characterized by high levels of self-reported co-rumination. The cRCT has two arms: (1) an intervention condition in which 160 girls (80 friendship dyads) will receive the 14-week HFPM program, and (2) a control condition in which 160 girls (80 dyads) will receive care-as-usual (CAU). Data will be collected at baseline (T0: October 2023), during the program (T1: December 2023; T2: February 2024; T3: April 2024), immediately after the program (T4: July 2024) and at one-year follow-up (T5: July 2025). Participant-level self-reported risk for (early onset) depression and anxiety, self-reported and observed co-rumination, self- and friend-reported friendship quality, self-reported positive and negative affect, self-reported interpersonal responses to positive affect and self-reported anhedonia symptoms will be the outcome variables.
Discussion: This study will provide insights into the short-term and long-term effects of the HFPM program on girls’ internalizing problems, wellbeing and social-emotional behavior.
Trials registration: International Standard Randomized Controlled Trials, identifier: ISRCTN54246670. Registered on 27 February 2023.
The journey to diagnosis of wild-type transthyretin-mediated (ATTRwt) amyloidosis: a path with multisystem involvement
Authors: Karam Chafic , Moffitt Colleen , Summers Catherine , Merkel Madeline P , Kochman Fran M , Weijers Laure , Puls Mathilde , Schurer Marieke , Jones Emily , Mason Nicola , Finkel Muriel , Schmitt Paula , Hanna Mazen 
Published: November 2023

Abstract

Background: Wild-type and hereditary transthyretin-mediated amyloidosis (ATTRwt and ATTRv amyloidosis, respectively) are progressive, fatal diseases with a broad range of clinical presentations and multisystem effects. Despite having a higher prevalence, ATTRwt amyloidosis is less well characterized due to its non-hereditary nature, and its relatively poorer disease awareness delays diagnosis. Understanding of its natural history has evolved in recent years, but this is largely based on physician-collected data rather than patients’ reports of their own experiences.
Results: Using a mixed-methods approach, we first conducted a US-based survey to explore how the journey of patients with ATTRwt amyloidosis differs from that of patients with ATTRv amyloidosis. The results revealed a high disease burden for patients with both conditions, with patients with ATTRwt reporting more diagnoses and procedures prior to their final diagnosis. Through further in-depth interviews with participants with ATTRwt amyloidosis, we present direct quotes from patients illustrating the paths they often take to diagnosis, through interactions with multiple physicians and specialists, and the opportunities for earlier diagnosis.
Conclusions: Our study provides insight into the overall impact of the patient journey on their quality of life and demonstrates how increased awareness of ATTRwt amyloidosis and more coordinated engagement with physicians could reduce the time to diagnosis.
The effect of single and combined microplastics with heavy metals Cu and Pb on digestive enzymes in Paphia undulata
Authors: Barus Beta Susanto , Purwiyanto Anna Ida Sunaryo , Suteja Yulianto , Dwinanti Sefti Heza 
Published: November 2023

Abstract
The contaminant most frequently found in aquatic habitats and potentially harms living things is called microplastic (MPs). MPs can also interact with other pollutants, such as heavy metals. This study aims to investigate the effects of PS particle of different sizes (20 and 150 µm) on the digestive enzymes (protease, amylase, and lipase) of the hard clam Paphia undulata, either alone or in combination with two distinct heavy metals (copper/Cu and lead/Pb). According to this study, clams' digestive enzyme responses often increased from days 5 to 7, then dropped the next day until the observation's completion. Greater enzyme activity results from exposure to larger particles (150 µm) than from smaller ones (20 µm). When heavy metals and MPs particles were exposed together, the peak phase of digestive enzyme activity was significantly higher (p < 0.05) than when only one particle or heavy metal was present. Hard clams exposed to MPs in combination with Pb increased digestive enzyme activity more than those exposed to MPs in combination with Cu. In addition, when PS particles were combined with Pb metal instead of Cu metal, the activity of digestive enzymes changed more quickly in the exposed clams. Clams exposed to PS in combination with Cu showed an increase in digestive enzyme activity on the seventh day of treatment, except for amylase. However, those treated with PS in combination with Pb metal showed an increase on the fifth day of exposure. This study demonstrates how these contaminants harm hard clams by disrupting their digestive systems, which can lead to growth inhibition and even death.
The impact of green credit on economic development quality - The mediating effect of firm innovation
Authors: Chen Jingpeng , Wu Yuqiang , Wan Yi , Cai Zigong 
Published: November 2023

Abstract
Implementing green credit is now a crucial step for nations looking to control social capital flows, improve environmental governance, and foster high-quality economic development in the context of the global low-carbon transition. This study analyzes the effects of green credit policy on high-quality economic development from the perspective of firm innovation using panel data from 30 Chinese provinces. The data is from the period between 2011 and 2020. The benchmark regression and mediation effect models are used to analyze the relationship between green credit and high-quality economic development. The research results show that (1) Green credit can directly and significantly raise the standard of economic growth. (2) Enterprise innovation mediates the relationship between green credit and high-quality economic growth. Green credit can promote high-quality economic development through enterprise technical innovation, human capital innovation, enterprise stock, and enterprise incremental innovation. (3) The most apparent mediating influence in enterprise innovation is played by human capital innovation. Our research provides policy implications for governments, banks and enterprises to promote green transformation and innovation, and ultimately achieve high-quality economic development.
Influence of alkaline on sodium sulfate activated slag: strength, phase assemblage and microstructure
Authors: Zhang Mingtao , Tang Han , Zhang Hua , Ye Jianxiong , Zhao Min , Wang Zeping , Li Xin 
Published: November 2023

Abstract
Alkali-activated slag (AAS) is gaining popularity as a low-carbon and energy-saving cementitious material. The use of Na2SO4 as an activator in AAS is a promising strategy that has yielded relatively favorable results. However, Na2SO4-activated slag have low compressive strength due to the low initial pH, which limits the consumption of AAS. In this study, the effect of Na2SO4 dosage and NaOH concentration on the compressive of Na2SO4-activated slag pastes were investigated. The phase assemblage and microstructure evolution of hardened pastes were analyzed by X-ray diffraction (XRD), thermogravimetric analysis (TGA) and scanning electronic microstructure (SEM). The results indicated that the 28 days compressive strength of AAS pastes developed progressively with the increase of Na2SO4 dosage, while the effect of NaOH on the compressive strength was related to the concentration of NaOH due to the changes of phase assemblage and microstructure. In the AAS pastes activated by sole Na2SO4, the main hydration products included C-(A)-S-H, ettringite and hydrotalcite-like phase. The addition of NaOH could promote the hydration of AAS, but inhibited the formation of ettringite, and the two mechanisms worked together to affect the compressive strength. When the NaOH concentration was less than 0.75 mol/L, the amount of ettringite decreased with the increase of NaOH concentration, and the amount of SO42− rich hydrotalcite-like phase gradually increased, which was much smaller in size, leading to a decrease of the compressive strengths of the pastes. After the NaOH concentration increased to more than 0.75 mol/L, the high concentration of OH− played a dominant role in promoting the hydration of AAS, leading to the improvement of compressive strength.