bluuebunny/crossref_metadata_2025 huggingface dataset:
A new therapy to alleviate the inflammatory injury of piglet intestine caused by short-distance transportation——music
Authors: Fu Qin , Bai Bin , Zhou Sitong , Zhao Yunlong , Yang Yue , Zhang Xiaohong , Liu Xuanning , Wu Mengyao , Zhao Wenzhong , Bao Jun , Liu Honggui
Published: February 2025

The purpose of this study was to explore whether music can reduce stress in animals by regulating the activity of the hypothalamus pituitary adrenal cortex (HPA) axis and reducing the concentration of cortisol. The control group was not played with any music or mechanical noise, the music group played music before and during transport, and the noise group played noise before and during transport as a positive control. The results showed that after two-hours of transportation, the concentrations of adrenocorticotropic hormone and cortisol in the music group were lower than that in the control and the noise groups, while the cortisol level in the noise group was higher than that in the music and the control groups. Plasma concentrations of D-lactic acid and diamine oxidase in the music group were lower than those in the control group and the noise group, and the noise group was higher than the control group. In addition, the concentrations of jejunal inflammatory factors interleukin-6 and interleukin-8 in the music group were lower than those in the control group and the noise group, but there was no difference of interleukin-12 in the three groups. However, there was no significant difference in Illinois-6, Illinois-12 and INF-γ between the noise group and the control group. The contents of reactive oxygen species, malondialdehyde and glutathione peroxidase in the music group had no changes compared with those in the control group, while the contents of reactive oxygen species and malondialdehyde in the noise group were higher than the control and the music groups, and the content of glutathione peroxidase was decreased. Compared with the music group, differently expressed genes analysis also showed that the mRNA expression level of inflammatory genes in the jejunum of the music group’ piglets decreased. In addition, compared with the music group, some Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways related to inflammation were highly expressed in the control group. In conclusion, our results showed that musical stimulation can reduce the inflammatory response of piglets caused by transportation by reducing the activity of HPA axis. Noise increased the activity of HPA axis, which aggravated the intestinal damage of piglets and caused intestinal oxidative damage
Enhancing the decision optimization of interaction design in sustainable healthcare with improved artificial bee colony algorithm and generative artificial intelligence
Authors: Yu Shuhui , Guan Xin , Peng Xiaoyan , Zeng Yanzhao , Wang Zeyu , Liang Xinyi , Qin Tianqiao , Zhou Xiang
Published: February 2025

With the development of digital health, enhancing decision-making effectiveness has become a critical task. This study proposes an improved Artificial Bee Colony (ABC) algorithm aimed at optimizing decision-making models in the field of digital health. The algorithm draws inspiration from the dual-layer evolutionary space of cultural algorithms, combining normative knowledge from the credibility space to dynamically adjust the search range, thereby improving both convergence speed and exploration capabilities. Additionally, a population dispersion strategy is introduced to maintain diversity, effectively balancing global exploration with local exploitation. Experimental results show that the improved ABC algorithm exhibits a 96% convergence probability when approaching the global optimal solution, significantly enhancing the efficiency and accuracy of medical resource optimization, particularly in complex decision-making environments. Integrating this algorithm with the Chat Generative Pre-trained Transformer (ChatGPT) decision system can intelligently generate personalized decision recommendations and leverage natural language processing technologies to better understand and respond to user needs. This study provides an effective tool for scientific decision-making in digital healthcare and offers critical technical support for processing and analyzing large-scale medical data.
Trustworthy diagnosis of Electrocardiography signals based on out-of-distribution detection
Authors: Yu Bowen , Liu Yuhong , Wu Xin , Ren Jing , Zhao Zhibin
Published: February 2025

Cardiovascular disease is one of the most dangerous conditions, posing a significant threat to daily health. Electrocardiography (ECG) is crucial for heart health monitoring. It plays a pivotal role in early heart disease detection, heart function assessment, and guiding treatments. Thus, refining ECG diagnostic methods is vital for timely and accurate heart disease diagnosis. Recently, deep learning has significantly advanced in ECG signal classification and recognition. However, these methods struggle with new or Out-of-Distribution (OOD) heart diseases. The deep learning model performs well on existing heart diseases but falters on unknown types, which leads to less reliable diagnoses. To address this challenge, we propose a novel trustworthy diagnosis method for ECG signals based on OOD detection. The proposed model integrates Convolutional Neural Networks (CNN) and Attention mechanisms to enhance feature extraction. Meanwhile, Energy and ReAct techniques are used to recognize OOD heart diseases and its generalization capacity for trustworthy diagnosis. Empirical validation using both the MIT-BIH Arrhythmia Database and the INCART 12-lead Arrhythmia Database demonstrated our method’s high sensitivity and specificity in diagnosing both known and out-of-distribution (OOD) heart diseases, thus verifying the model’s diagnostic trustworthiness. The results not only validate the effectiveness of our approach but also highlight its potential application value in cardiac health diagnostics.
Crypto-coding technique based on polar code and secret key generated from
wireless channel characteristics for wireless communication systems
Authors: Van Linh Dinh , Van Yem Vu , Thi Phuong Thao Hoang
Published: February 2025

The crypto-coding technique is essential for modern digital wireless communications systems, allowing data encryption and channel coding to be performed in only one step without requiring additional hardware. This work proposes a crypto-coding technique combining polar codes with a secret key, which is derived from wireless channel characteristics, to boost the security and reliability characteristics of the systems. The secret key is divided into two parts, one is assigned to the frozen bits, and the other is XORed with the information bits. A simulation with different key lengths and code lengths is carried out in Additive white Gaussian noise (AWGN) that helps us to evaluate this technique by the error correction and security performance, computational complexity. The key benefit is that it achieves the same bit error rate (BER) performance and computational complexity as traditional polar codes and existing methods despite only taking one step. Meanwhile, it ensures completely degraded decoding effectiveness at eavesdroppers, thus it is effective against passive eavesdropping attacks. Furthermore, this method does not require additional hardware overhead for key management and distribution.
Enhancing anesthetic techniques for improving whisker stimulation response in the barrel cortex
Authors: Yuan Ye , Liu Tian , Wang Jue
Published: February 2025

This study adopts and validates an anesthetic protocol designed for rat whisker stimulation experiments, achieving significant enhancements in the neural response of the barrel field cortex. By combining alpha-chloralose, low-dose Isoflurane (0.5%) and Dexdomitor, the protocol not only maintains a stable anesthetic state but also markedly improves the amplitude and latency of local field potential (LFP) signals. Experimental results reveal that LFP amplitudes in the barrel field under this protocol are twice as high as those achieved with Isoflurane and four times as high as those with Ketamine-Xylazine, with significantly shortened latencies and reduced noise interference. For the first time, power spectral analysis reveals a distinct enhancement of oscillatory power in the alpha (8–13 Hz) and beta (13–30 Hz) bands under alpha-chloralose anesthesia, diverging from the traditional dominance of delta (0.5–4 Hz) oscillations observed with other anesthetics. Mechanistically, this phenomenon may be attributed to alpha-chloralose’s unique modulation of GABAergic and glutamatergic pathways, promoting cortical desynchronization and enhanced sensory processing. This protocol offers new insights into optimizing sensory-evoked neural signal acquisition and provides a reference for future studies exploring neural modulation in sensory neuroscience.
Visual recognition of honeybee behavior patterns at the hive entrance
Authors: Sledevič Tomyslav , Serackis Artūras , Matuzevičius Dalius , Plonis Darius , Vdoviak Gabriela
Published: February 2025

This study presents a novel method for automatically recognizing honeybee behavior patterns at the hive entrance, significantly contributing to beekeeping and hive management. Utilizing advanced YOLOv8 models for detection and segmentation, our approach analyzes various aspects of bee behavior, including location, direction, path trajectory, and movement speed within a designated area on the hive’s landing board. The system effectively detects multiple bee activities such as foraging, fanning, washboarding, and defense, achieving a mean detection accuracy of 98% and operating at speeds of up to 36 fps, surpassing state-of-the-art methods in both speed and accuracy. Key contributions include the development of a comprehensive dataset with 7200 frames from eight beehives, the introduction of the first known research focused on recognizing bee behavior patterns through visual analysis at the hive entrance, and a comparative evaluation of various object detection and tracking algorithms tailored for bee detection and behavior recognition. Our findings indicate that this method enhances monitoring capabilities for beekeepers while reducing the need for manual inspections, thereby minimizing disturbances to the bees. By analyzing spatial trajectories and occurrence density maps, the proposed framework provides robust identification of overlapping behaviors, facilitating timely interventions when necessary. This work lays the groundwork for future automated monitoring systems aimed at improving hive health and productivity.
Co-representation breaks down beyond the dyad in UK adults
Authors: Milward Sophie J. , Whitehouse Jamie
Published: February 2025

Cooperation is so deeply embedded in human psychology that we spontaneously track a partner’s task as well as our own when acting in a pair. This automatic ‘co-representation’ of a partner’s mental representation of their task has been argued to be key to the sophisticated social coordination we see in human adults. However, our day-to-day encounters are not limited to one-to-one interactions. This is the first published study to investigate co-representation in groups, with results from a group Joint Simon task suggesting that co-representation may break down in groups larger than two. Exploratory analyses also suggested a complex interplay between spatial and social relationships between individual members within a group. We propose a novel hypothesis based on these findings: when we lack the capacity to track everyone in a group, we may be able to selectively track those who are the most salient or relevant. This provides key information about the limits of our capacity to keep others in mind, and the psychological underpinnings of how we do so.
Differential expression and modulation of EBI2 and 7α,25-OHC synthesizing (CH25H, CYP7B1) and degrading (HSD3B7) enzymes in mouse and human brain vascular cells
Authors: Caratis Fionä , Karaszewski Bartosz , Klejbor Ilona , Furihata Tomomi , Rutkowska Aleksandra
Published: February 2025

The endogenous ligand for the EBI2 receptor, oxysterol 7α,25OHC, crucial for immune responses, is finely regulated by CH25H, CYP7B1 and HSD3B7 enzymes. Lymphoid stromal cells and follicular dendritic cells within T cell follicles maintain a gradient of 7α,25OHC, with stromal cells increasing and dendritic cells decreasing its concentration. This gradient is pivotal for proper B cell positioning in lymphoid tissue. In the animal model of multiple sclerosis, the experimental autoimmune encephalomyelitis, the levels of 7α,25OHC rapidly increase in the central nervous system driving the migration of EBI2 expressing immune cells through the blood-brain barrier (BBB). To explore if blood vessel cells in the brain express these enzymes, we examined normal mouse brain microvessels and studied changes in their expression during inflammation. Ebi2 was abundantly expressed in endothelial cells, pericytes/smooth muscle cells, and astrocytic endfeet. Ch25h, Cyp7b1, and Hsd3b7 were variably detected in each cell type, suggesting their active involvement in oxysterol 7α,25OHC synthesis and gradient maintenance under normal conditions. Significant species-specific differences emerged in EBI2 and the enzyme levels between mouse and human BBB-forming cells. Under acute inflammatory conditions, Ebi2 and synthesizing enzyme modulation occurred in the brain, with the magnitude and direction of change based on the enzyme. Lastly, in an in vitro astrocyte migration model, CYP7B1 inhibitor clotrimazole, as well as EBI2 antagonist, NIBR189, inhibited lipopolysaccharide-induced cell migration indicating the involvement of EBI2 and its ligand in brain cell migration under inflammatory conditions.
HLA-class II genes association with multiple sclerosis: An immunogenetic prediction among multiple sclerosis Jordanian patients
Authors: Khdair Sawsan I. , Al-Khareisha Lubna , Abusara Osama H. , Hammad Alaa M. , Khudair Alaa
Published: February 2025

Multiple sclerosis (MS) is an inflammatory autoimmune disease affecting the central nervous system (CNS). The pathogenesis of MS is characterized by neuronal axonal degeneration and demyelination. Among the genes that raises MS risk are the HLA-class II genes. The goals of this study were to investigate the role of the HLA-DRB1 and HLA-DQB1 genes (for the first time) in Jordanian MS patients and their association with MS disease. The association of these genes with other clinical features, such as optic neuritis, sensory impairment, and brainstem symptoms in MS patients was investigated as well using PCR-SSP techniques. Our findings indicated an association between HLA-DRB1 * 03:01 (Pc =  0.01) and HLA-DRB1 * 04:01 (Pc =  0.004) alleles with Jordanian MS patients. In addition, a significant linkage between HLA-DRB1 * 15:01 and HLA-DQB1 * 06:01 alleles (Pc ≤  0.001 and Pc =  0.012, respectively) were presented among Jordanian MS patients with optic neuritis compared to Jordanian MS patients without optic neuritis. Moreover, HLA-DQB1 * 05:01 and HLA-DQB1 * 06:02 alleles (Pc ≤  0.001 and Pc =  0.006, respectively) was found to be related with sensory impairment in MS patients. Additionally, HLA-DRB1 * 07:01 allele indicates a positive correlation in MS patients with brainstem symptoms (Pc <  0.001). Moreover, our results indicated that there is no association on the HLA-DRB1 ~ HLA-DQB1 haplotype level and MS disease. Knowing the genes that are linked to MS, they may facilitate MS diagnosis, prevention, and treatment at earlier stage. Also, these results may serve in the development of more potent therapeutic regimens for MS and its related complications, such as optic neuritis, sensory impairment, and brainstem symptoms.
Fusion of motion smoothing algorithm and motion segmentation algorithm for human animation generation
Authors: Ding Shinan
Published: February 2025

In the field of human animation generation, the existing technology is often limited by the dependence on large-scale data sets, and it is difficult to capture subtle dynamic changes when processing motion transitions, resulting in insufficient animation fluency and realism. In order to improve the naturalness and diversity of human animation generation, a method combining motion smoothing algorithm and motion segmentation algorithm is proposed. Firstly, the tree-level model based on human skeleton topology and bidirectional unbiased Kalman filter are used for noise reduction pre-processing of motion data to improve the accuracy of motion capture. Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. The experimental results show that the accuracy of the proposed algorithm reaches 0.96 in coarse-grained segmentation and 0.91 in fine-grained segmentation, and the segmentation time is 15 seconds on average, which significantly exceeds the prior art. In addition, the algorithm shows superior results in color fidelity, detail representation, motion fluency, frame-to-frame coherence, overall animation consistency, action authenticity, and character expressiveness, and the average user satisfaction is above 0.85. The research not only enhances the naturalness and diversity of human body animation, but also provides a new impetus for technological advances in computer graphics, virtual reality and augmented reality.
Policy-mix and SME innovation: Evidence from China
Authors: Zhao Kai , Shan Haonan , Gao Yu
Published: February 2025

The question of whether and how innovation policy can effectively influence innovation in small and medium-sized enterprises (SMEs) has received limited attention in academic research. This study takes a first step towards filling this gap by examining how innovation policy and policy mixes influence innovation in SMEs. This paper takes China’s National Equities Exchange and Quotations (NEEQ) listed enterprises from 2011 to 2020 as the research sample, and uses the Multi-Level Treatment Effect (MLTE) model to investigate the actual impact of different innovation policies on Small and Medium-sized Enterprise innovation and the heterogeneity of policy effects from the perspective of substantive and strategic innovation. It is found that innovation policies can obviously improve the innovation of SMEs, in particular the substantive innovation, and the effect of policy-mix in stimulating SME innovation is stronger than that of single innovation policy. SMEs that show “strong motivation” and “high ability” in innovation are more likely to be favored by relevant government agencies, and have a greater probability of becoming the implementation targets of innovation policies. As far as single innovation policies are concerned, government subsidy is better than tax incentive for high-tech SMEs, while tax incentive has a stronger role in promoting innovation than government subsidy for non-high-tech SMEs. By illuminating these differentiated impacts and the conditions under which innovation policies are most effective, this work not only advances our fundamental understanding of policy-driven innovation ecosystems but also offers actionable guidance to policymakers seeking to optimize the allocation of support to foster transformative innovation in the SME sector.
Evaluation of different intramuscular injectable anesthetic combinations in rabbits: Impact on anesthetic depth, physiological parameters, and EEG recordings
Authors: Schmid Marie-Louise , Werner Julia , Saller Anna M. , Reiser Judith , Zablotski Yury , Ostertag Julian , Kreuzer Matthias , Lendl Christine , Potschka Heidrun , Baumgartner Christine
Published: February 2025

Rabbits have a high anesthesia-related mortality rate because of their small size, high metabolic rate and challenging airway management. This study aimed to investigate different combinations of intramuscularly administered anesthetics in New Zealand White rabbits, focusing on their effects on anesthetic depth, physiological parameters, and electroencephalogram (EEG) recordings. Defined doses ketamine (K), esketamine (SK), medetomidine (M), dexmedetomidine (D), midazolam (Mi), and butorphanol (B) were investigated and compared in five different combinations: KM (25/0.25 mg/kg), SKM (17/0.25 mg/kg), SKD (17/0.15 mg/kg), MMiB (0.25/1/0.2 mg/kg), and DMiB (0.15/1/0.2 mg/kg). For 60 minutes, the anesthetic depth was assessed using an anesthesia score, and physiological parameters, including heart rate (HR), respiratory rate (RR), oxygen saturation and blood pressure were recorded. The study also assessed the latencies to loss and recovery of reflexes after targeted antagonization, and EEGs were measured. The rabbits were not intubated and were supplied with oxygenated air via nasal probes. All anesthetic combinations achieved anesthesia with surgical tolerance, with significant intergroup differences in HR, RR, blood pressure and EEG power spectra. The KM group demonstrated the most stable anesthesia and rapid recovery, while SKD and SKM groups showed prolonged recovery times. Oxygen saturation remained consistently high across all groups, obviating the need for intubation. All rabbits recovered fully after anesthesia. In conclusion, intramuscular administered anesthetic combinations can provide effective anesthesia with surgical tolerance for short procedures in rabbits. Monitoring circulatory parameters during and after anesthesia and adequate pain management pre-, inter-, and postoperatively are essential. Considering these criteria, the KM group presented the best results compared with the other groups.
L-shaped relationship between dietary niacin intake and hearing loss in United States adults: National health and nutrition examination survey
Authors: Gao Zhaocha , Dai Yunbing , Liu Ting , Wu Yungang , Zhang Xue
Published: February 2025

Hearing loss poses a significant threat to human health, with its prevalence increasing annually. Niacin (vitamin B3) is an essential B vitamin that plays a crucial role in energy metabolism and cellular repair in the body. Additionally, it exerts a protective influence on the cells of the inner ear. A correlation between dietary niacin and hearing loss has been reported; however, the results remain controversial, requiring further investigation. This study aimed to examine the potential association between dietary niacin intake and hearing loss in United States (U.S.) adults, providing a reference for dietary preventive management of hearing loss. In this cross-sectional study, data derived from the National Health and Nutrition Survey for U.S. adults aged 20 to 69 years, spanning the 2011–2012 and 2015–2016 cycles, were used. Logistic regression, restricted cubic spline models, subgroup analyses, and sensitivity analyses were used to assess the stability of the results. A total of 7675 participants were included, of whom 772 (10.1%) exhibited low-frequency hearing loss (LFHL), 1165 (15.2%) had speech-frequency hearing loss (SFHL), and 2816 (36.7%) had high-frequency hearing loss (HFHL). In the final model, the adjusted odds ratios of dietary niacin intake and LFHL, SFHL, and HFHL in Q2 (16.97–23.40 mg/day) were compared with those in Q1 (≤16.96 mg/day) and were 0.73 (0.57–0.92), 0.76 (0.61–0.94), and 0.80 (0.67–0.96), respectively. The relationship between dietary niacin intake and hearing loss (HL) was illustrated via an L-shaped curve in the restricted cubic spline with an inflection point of approximately 23.26 mg/day. The odds ratios for HL in individuals with niacin intake less than 23.26 mg/day were as follows: 0.950 (0.917–0.984) for LFHL, 0.951 (0.921–0.982) for SFHL, and 0.965 (0.939–0.992) for HFHL. To summarize, an “L”-shaped correlation between dietary niacin intake and the occurrence of HL in U.S. adults with an inflection point estimated at approximately 23.26 mg/day was revealed in the present study.
Moderating and mediating mechanisms of the association between endogenous testosterone and aggression in youth: A study protocol
Authors: Calvete Esther , Cortazar Nerea , Orue Izaskun
Published: February 2025

Background

The role of testosterone, particularly in combination with cortisol, in aggression remains debated. According to the general aggression model, hormones interact with other variables, such individuals’ knowledge structures, to predict aggression. This model may help explain inconsistent findings of previous research. Furthermore, the model posits that the influence of hormones on aggressive behavior is mediated by the individual’s internal state. Accordingly, the objectives of this study are to assess whether (1) testosterone and cortisol, alone and in interaction with aggression-related knowledge structures, predict aggression in a standardized laboratory paradigm and whether (2) this association is mediated by hostile attribution, anger, and arousal. By identifying key moderators and mediators, this study seeks to make a very novel contribution to the understanding of the role of testosterone in aggressive behavior. These objectives will also be assessed separately for males and females.

Methods

The Point Subtraction Aggression Paradigm will be used to assess aggression. The sample will include 110 youths aged 17–19 (50% male). Participants will provide saliva samples before and after completing the paradigm, along with measures of three aggression-related knowledge structures (justification of violence, hostility, and narcissism) collected before the paradigm. Measures of two mediators (hostile attribution, anger) will be obtained after completing the paradigm. Arousal levels (heart rate and skin conductance) will be recorded before, after, and while completing the paradigm. The hypotheses will be tested using path analysis models, examining both the testosterone/cortisol ratio and the interaction between testosterone and cortisol as well as both baseline hormone levels and changes in hormone levels.

Discussion

Although it may be limited by the use of saliva for measuring hormones, this study will enhance the current understanding of the role of testosterone and cortisol in aggressive behavior among youths by investigating novel hypotheses related to psychological moderating and mediating factors.
Management of waste fly ash as an epoxy resin filler
Authors: Szymańska Joanna , Tomczak Dorota , Przesławski Grzegorz , Borysiak Sławomir
Published: February 2025

Epoxy resin composites with the addition of 20–50 wt% of ash from municipal waste incineration were obtained. The curing kinetics of the composites (DSC) was determined, and the activation energy was calculated using the Kissinger and Ozawa method. In addition, flexural properties, and impact strength, as well as the structure of the composites (XRD, optical microscopy) were investigated. Brittles of the composites increased with increasing the filler content. The addition of ash also affected the kinetics of the resin cross-linking reaction. A change in the activation energy, degree of conversion and cross-linking time was observed.
Empowering Education with Augmented Reality: Planetarium Virtual Laboratory Development Society 5.0 Era
Authors: Nisa' Rofiatun , Isroil Ahmad
Published: February 2025

Elementary school students in the Society 5.0 era have become accustomed to advanced technology. Therefore, teachers must make smart efforts to ensure the success of quality education. This research aims to analyze product practicality and product feasibility according to experts to support quality education for elementary school students in the Society 5.0 era. This study's Research and Development (RnD) method follows the ADDIE model. The research was conducted with sixth-grade elementary school students in Lamongan Regency, with 166 participants. Data analysis utilized interview and questionnaire techniques. The research results are as follows: The first stage involved analyzing the needs of teachers and students in IPAS learning that could support quality education relevant to the current era. The next stage was designing the learning media. After the design process, the learning media was developed and validated by two expert media validators, two science subject matter validators, and ten education practitioners in the very good category. The implementation results with sixth-grade students at Madrasah Ibtidaiyah in Lamongan showed that 90% of the students rated the media in the outstanding category. Thus, it can be concluded that this virtual planetarium laboratory media is effectively applied to sixth-grade students in science learning to support quality education in the Society 5.0 era.
Capital profesional de maestros de primaria. Un análisis desde sus trayectorias profesionales.
Authors: Sánchez-Anguiano Héctor Miguel , Cordero-Arroyo Graciela
Published: February 2025

El desarrollo profesional docente es un tema central en el diseño de políticas educativas por estar relacionado con la mejora educativa, sin embargo, en la investigación educativa este constructo ha sido problemático de abordar en tanto que se tiene que estudiar como un proceso en evolución en el que intervienen diversos factores. Esta investigación pretendió un acercamiento a la comprensión del desarrollo profesional docente mediante el estudio de trayectorias profesionales y desde el enfoque teórico del “Capital profesional”. El diseño corresponde a una investigación cualitativa, desde el enfoque biográfico; para la construcción de las trayectorias se hicieron entrevistas en profundidad a 12 profesores mexicanos, de educación primaria, que transitan por su etapa de formación en el servicio. Los resultados dan cuenta de que los maestros buscan constantemente diferentes vías que incrementen su capital profesional, con la intención de favorecer su propio desarrollo profesional. También muestran los efectos de la carrera docente en México, en la que es visible la tendencia hacia la precarización, la intensificación de la profesión y la marcada presencia de regulaciones laborales que orientan las decisiones y acciones del profesorado a la búsqueda de estabilidad laboral, en detrimento del aprendizaje de sus estudiantes.
THE MAIN ASPECTS OF ARCHITECTURE DEVELOPMENT IN THE NORTHERN REGIONS
Authors:   FSBI “TSNIIP of the Ministry of Construction of the Russian Federation”, Moscow, Russia, Eyramdzhants A.S.
Published: February 2025

The article deals with the issues of integrated development of the Northern regions and the formation of support zones with developed scientific and industrial complexes and comfortable housing. It presents the prerequisites for the emergence of new trends in the architecture of the North, thanks to the study of the history of northern residential buildings and providing its residents with comfortable conditions more than a hundred years ago. This experience is an invaluable material for creating typological features of architectural and structural elements. The study aims to present the main criteria for the development of new architectural solutions and structural elements used to create comfortable living conditions for people in the north. The objectives of the presented research include the study of the architecture of historical settlements of the North, the analysis of spatial planning and artistic solutions, and energy conservation in residential and public buildings. The paper analyses the experience of using industrial enterprises and housing construction in different regions of the North, taking into account the preservation of ecology and energy-efficient technologies.
RESEARCH OF TECHNOLOGIES OF LEATHER PRODUCTION WASTEWATER TREATMENT BY FILTRATION-PERCOLATION METHOD WITH BAOBAB FRUIT SHELL POWDER
Authors:   Astrakhan State Technical University, Astrakhan, Russia, Lassana D. , Sainova V.N.
Published: February 2025

Wastewater from the leather industry is heterogeneous in nature, containing various organic and inorganic impurities. The presence of heavy metals and sulfides makes these wastewater streams more toxic. Therefore, it is necessary to treat them before discharging into the environment. Traditional methods commonly used for treating wastewater from leather factories are not capable of removing all types of substances present in the discharges in one go. Hence, it is crucially important to search for and develop innovative technologies that can be economically and environ-mentally effective. Natural mixed wastewater from a leather factory was treated using the filtration-percolation method with the use of waste from the agroforestry complex (baobab fruit shells). The study was conducted under laboratory conitions with 200 grams of adsorbent placed in a Pyrex glass column measuring 100 cm in length and 4 cm in diameter, through which 200 ml of a sample of complex leather factory effluent was passed. The untreated wastewater had initial concentrations of 2630 mg/l for BOD5, 7000 mg/l for COD, 1650 mg/l for suspended solids, 2 mg/l for sulfides, and 10 mg/l for chromium. Filtration-percolation on baobab fruit shell powder achieved a reduction of 86.70% for BOD5, 93.0% for COD, 94.47% for suspended solids, and 100% for sulfides and chromium. The retention of pollutants on the filter matrix (powder from raw baobab fruit shells) is promising and offers an alternative to the use of some extremely expensive filtering materials.
AUTOMATIC GENERATION OF DESCRIPTION GEOMETRY TASKS USING PARAMETRIC TEMPLATES
Authors:   Siberian Transport University, Novosibirsk, Russia, Petukhova A.V. ,   Novosibirsk State University of architecture and Civil Engineering, Novosibirsk, Russia
Published: February 2025

The range of disciplines in the graphic cycle includes descriptive geometry, engineering and computer graphics, basics of computer-aided design of objects and other training courses. The content of the listed disciplines involves the use of a large number of drawings, models, and graphic tasks. Some assignments are given to the student in the electronic form, in the form of drawings made in a graphics editor. Having an extensive database of electronic graphic tasks is an urgent necessity since each student in the academic stream receives an individual set of standard educational tasks. The formation of such sets of graphic tasks is a very labor-intensive part of a teacher’s professional activity. As a solution, we propose to at least partially automate the procedure for preparing educational graphic tasks. The main idea is to fully or partially parame-terize the geometry of the drawing, impose geometric and dimensional restrictions on graphic objects, create an external table of parameters and load these parameters into a graphic document to generate new versions of the drawing. The article considers an example of the joint use of the Compass graphic complex and Microsoft Excel. A number of examples demonstrate that the formation of a new set of graphic tasks can be reduced to several tens of minutes.
A imagem estelar de Yeda Brown: Discursos de dizibilidade e visibilidade na Transição Espanhola
Authors: Da Silva Diefenthaeler Samantha , Cancela Nuria , Muller Luiza
Published: February 2025

Yeda Brown (Yeda Abáz de Carvalho) é uma atriz trans brasileira que chega à Espanha no ano de 1975 para continuar sua carreira no mundo do espetáculo e iniciar seu trabalho como atriz cinematográfica. Este artigo propõe analisar a star image da atriz, considerando seus papéis no cinema e sua presença na imprensa durante os anos da Transição Espanhola. Este material será analisado com o objetivo de examinar as mudanças nos regimes do dizível e do visível, partindo da arqueologia foucaultiana, considerando aspectos antes considerados irrepresentáveis em uma sociedade que se abria a novos discursos sobre a marginalidade. O propósito fundamental desta análise é verificar como esses discursos desafiam diretamente os paradigmas identitários que prevaleciam na recém-formada democracia espanhola. Pretende-se explorar as tensões que surgem em uma sociedade em transição, ainda arraigada em um modelo de família tradicional, ao observar como a alteridade encontra sua expressão no corpo da atriz Yeda Brown, estrangeira e transexual.
Editorial v12n1
Authors: Editorial Conselho
Published: February 2025

Editorial do número 1 do volume 12 da Aniki: Revista Portuguesa da Imagem em Movimento.
Ketahanan Kultivar Pisang Lokal Kalimantan Selatan terhadap Penyakit Bercak Sigatoka (Mycosphaerella sp.)
Authors: Mariana Mariana , Rodinah Rodinah , Budi Ismed Setya
Published: February 2025

Sigatoka of banana caused by Mycospherella sp. is an important disease, since it causes yield losses. Resistant variety is considered a promising approach for sigatoka disease management. This study was aimed to evaluate the resistance of local banana cultivars from South Kalimantan against sigatoka disease. The fungus was isolated from leaves of Kapas cultivar showing severe symptoms of sigatoka disease, onto potato dextrose agar medium. The isolate was then confirmed as Mycosphaerella sp. following Koch’s postulate. Level of resistance is determined based on symptoms development. Resistance of local banana cultivars can be differentiated into susceptible (‘Awak’, ‘Jaranang’, ‘Kapas’, ‘Mas’, and ‘Paikat’), medium resistant (‘Ambon’, ‘Kepok’, ‘Mas Bantan’, ‘Mauli’, and ‘Talas’), and resistant (‘Tarati’).  In general, the symptom was visible 2 to 8 days after inoculation. The longer incubation period the more resistant response of banana varieties.  Incubation period was negatively correlated to the disease intensity, but it is not correlated with stomatal density.
Penyakit Busuk Akar dan Pangkal Batang Tebu di Sumatera Selatan
Authors: Maryono Tri , Widiastuti Ani , Priyatmojo Achmadi
Published: February 2025

Root and basal stem rot disease caused by Xylaria sp. is a new diseases in Indonesian sugarcane plantation. The disease has been reported only occurred in sugarcane plantations in Sumatera. Limited information about the disease has slowed down disease diagnosis in the field. The research was aimed to describe symptoms, signs, and spatial distribution of the disease caused by Xylaria. A survey was conducted at a sugarcane plantation in South Sumatera (3° 26’ 16.6” S dan 104°40’ 09.8” E). Typical symptoms of the disease involved drying of all leaves and plant death, dry rot of root and basal stem, and retarded growth of ratoon cane were recorded. Stroma was found on surface of diseased stems and on soil surface of diseased plants, and spatial aggregation of diseased plants was observed in all locations. The distribution of the diseased plant aggregately and the presence of stroma on diseased plants are important characteristics of the disease diagnosis in sugarcane plantations.
The Effectiveness of Hot Water and Guano Tea Treatments on Aphelenchoides besseyi Nematode on Rice Seeds and Their Effects on the Growth of Rice Seedling
Authors: Syarifah Syarifah , Supramana Supramana , Triwidodo Hermanu
Published: February 2025

Aphelenchoides besseyi merupakan salah satu nematoda penting terbawa benih yang menginfeksi padi dan dapat menyebabkan kehilangan hasil serta mengurangi kualitas gabah. Penelitian ini bertujuan mendapatkan metode yang efektif untuk mengendalikan nematoda A. besseyi pada benih padi melalui perlakuan air panas dan teh guano. Penelitian dilakukan terhadap tiga varietas padi, yaitu Pak Tiwi 1, Ciherang, dan IPB 3S, dua perlakuan perendaman, yaitu perendaman air panas suhu 55 °C dan perendaman dalam teh guano, serta tujuh waktu perendaman, yaitu 0, 5, 10, 15, 20, 25, dan 30 menit. Perlakuan air panas suhu 55 °C dan teh guano efektif menurunkan populasi nematoda, namun pengaruhnya berbeda pada setiap varietas. Pada varietas Pak Tiwi 1 perendaman air panas efektif menurunkan populasi nematoda pada waktu perendaman 5-30 menit, dan daya tumbuh paling baik pada perendaman air panas dengan waktu 10 menit dan kontrol dengan waktu 20 menit. Pada varietas Ciherang, metode perendaman air panas efektif dengan rentang waktu 5-30 menit dan perendaman teh guano selama 30 menit efektif menurunkan populasi nematoda, serta interaksi terbaik yang menghasilkan daya tumbuh paling tinggi ditunjukkan pada perlakuan kontrol dengan waktu 10, 15, 20, 25, dan 30 menit, perendaman teh guano dengan waktu 5, 10, 25 menit, dan perendaman air panas dengan waktu 5 dan 10 menit. Pada varietas IPB 3S, penurunan populasi terbaik ditunjukkan pada perendaman teh guano dengan waktu 5 dan 30 menit, sedangkan daya tumbuh terbaik ditunjukkan pada perendaman air panas dengan waktu 5 menit.
Potency of Some Endophytic Bacteria Isolates for Biocontrol of Fusarium oxysporum f.sp cepae on Shallot
Authors: Novitasari Wahyuning Dwi , Munif Abdul
Published: February 2025

Penyakit busuk pangkal (Fusarium oxysporum f.sp cepae) merupakan penyakit penting pada tanaman bawang merah yang menyebabkan kehilangan hasil tinggi. Penelitian bertujuan menguji kemampuan beberapa isolat bakteri endofit (APE22, APE35, BAT2-2, dan MER) yang berasal dari tumbuhan paku-pakuan, bakau, dan tanaman lada untuk mengendalikan F. oxysporum f.sp cepae pada bawang merah secara in vitro dan in planta. Hasil penelitian menunjukkan bahwa semua isolat bakteri yang diuji mampu menghambat pertumbuhan F. oxysporum f.sp cepae secara in vitro dengan persentase penghambatan berkisar 37.78%–83.33% bergantung pada isolat yang diuji. Uji in planta di rumah kaca menunjukkan bakteri endofit mampu memacu pertumbuhan tanaman bawang merah dan menurunkan insidensi serta keparahan penyakit busuk pangkal. Di antara seluruh bakteri endofit uji, isolat BAT2-2 menunjukkan kemampuan menekan keparahan penyakit paling tinggi dibandingkan dengan isolat lainnya.
KAJIAN RANCANG BANGUN SISTEM DETEKSI BENCANA KEBAKARAN DAN PEMADAMAN OTOMATIS BERBASIS WHATSAPP DAN WEB
Authors: Razali Makmun Reza , Priyadi Irnanda , Hadi Faisal , Handayani Yanolanda Suzantry
Published: February 2025

Bencana kebakaran yang menghanguskan rumah atau gedung semakin banyak terjadi terutama pada musim kemarau panjang yang selalu ada setiap tahun. Bencana kebakaran terburuk yang terjadi di jalan KZ Abidin Kelurahan Belakang Pondok Kota Bengkulu bulan November 2021 yang lalu mengakibatkan empat orang meninggal dengan kondisi tubuh hangus terbakar. Tingginya tingkat kejadian bencana kebakaran ini disebabkan oleh banyak faktor, diantaranya karena minimnya pengetahuan terhadap sistem deteksi kebakaran dan pemadaman otomatis yang bisa dirancang sendiri dengan teknologi yang sederhana. Pada penelitian ini sistem deteksi bencana kebakaran dirancang menggunakan sensor asap, sensor suhu dan sensor api sebagai komponen pendeteksi dengan menggunakan mikrokontroller sebagai control centre system untuk mengendalikan beberapa komponen pemadam secara otomatis. Selain itu, sistem deteksi bencana kebakaran yang dibangun juga akan mengukur dan menginformasikan data terkait bencana kebakaran sebelum dan sesudah secara real time kepada siapa saja yang telah terdaftar dalam database jaringan GSM control centre number melalui aplikasi whatsapp. Hasil dari penelitian adalah kinerja sensor asap (sensor MQ2) dapat diketahui bahwa nilai setpoint untuk mendeteksi keberadaan asap bernilai lebih dari 100 atau ketika tidak ada asap nilai sensor MQ2 yang terbaca oleh sensor dalam kisaran range 90-95.
Training robust neural networks for uncertainty prediction in stamping technology
Authors: Koller Lukas , Hartmann Christoph , Martinitz Lukas , Volk Wolfram , Althoff Matthias
Published: February 2025

Stamping and bending technology uses a sequence of stamping and bending steps to manufacture complex metal parts. The execution order and design of each step are crucial for the quality of a produced part. However, simulating different process orders is hard due to uncertainties in the production process. We propose a data-driven model using neural networks to optimize the execution order to reduce the effects of uncertainties on the deviation in product quality. The process steps are modeled individually by neural networks, which are concatenated to model different process orders. To ensure accurate predictions, we use set-based training to make the neural networks robust against input uncertainties. We demonstrate the usefulness of our model by numerical experiments for the production process of a busbar.
Robuste Inline-Rekonstruktion geometrischer Merkmale in der Blechumformung auf Basis von Laserprofilsensoren
Authors: Nagel Malte , Brower-Rabinowitsch Max , Schmiele Dennis , Hinz Lennart , Krimm Richard , Behrens Bernd-Arno , Reithmeier Eduard
Published: February 2025

This paper presents a method for robust inline reconstruction of geometric features in sheet metal forming using commercially available line-scanning laser triangulation sensors. The goal is to achieve 100 percent inline component inspection to reduce scrap and improve efficiency. A ray tracing-based simulation approach is employed to assess uncertainties introduced by sensor limitations, shadowing, resolution constraints, and sensor noise. Additionally, a calibration procedure is presented, where a calibration object is used to verify and correct the laser plane’s alignment into a reference coordinate system. The reconstructed geometric features such as component heights and radii allow conclusions to be drawn about the component quality.
Robust Optimal Monetary Policies in Behavioral New Keynesian DSGE Models
Authors: Di Bartolomeo Giovanni , Serpieri Carolina
Published: February 2025

This paper addresses the challenge of uncertainty in monetary policy by incorporating local model uncertainty arising from heterogeneous expectations into a behavioral New Keynesian DSGE framework. Non-Bayesian control techniques are adopted to minimize a welfare loss derived from the second-order approximation of agents’ utilities to derive robust optimal policies. In the context of uncertainty regarding the formation of behavioral expectations, the importance of gradualism in monetary adjustments is emphasized. Policymakers should consider the ratio of rational to boundedly rational agents and anticipate that a significant presence of boundedly rational agents, especially those with long-horizon expectations, may require more dynamic adjustments to interest rates. Accounting for multidimensional uncertainty exponentially increases the complexity of the analysis and model indeterminacy.
Impact of fracture fixation surgery on cognitive function and the gut microbiota in mice with a history of stroke
Authors: Lu Yu , Li Zixuan , Xu Rukun , Xu Yajie , Zhang Wenwen , Zhang Yong , Fang Zhaojing , Pan Cailong , Wang Xiaoliang
Published: February 2025

Perioperative cognitive dysfunction is a common complication in stroke patients undergoing secondary surgeries. This study investigated the effects of tibial fracture internal fixation (TFIF) surgery on cognitive function and the gut microbiota in mice with a history of stroke. Using the middle cerebral artery occlusion method to induce stroke, we assessed cognitive function via the fear conditioning test and analyzed the gut microbiota through 16S rRNA sequencing. Compared with those in the normal and stroke groups, the cognitive function of the mice in the stroke group that underwent TFIF surgery was significantly impaired. Gut microbiota analysis revealed significant changes in beta diversity, but not in alpha diversity, in these mice. Additionally, TFIF surgery increased microglial activation and IL-1β and lipopolysaccharide (LPS) levels in the brain while reducing α-defensin levels and increasing IL-1β and LPS levels in the colon. These results suggest that TFIF surgery exacerbates cognitive impairment in stroke mice, possibly through alterations in the gut microbiota that impair intestinal defense and promote inflammation. This study highlights the critical role of the gut microbiome in cognitive function and perioperative outcomes, offering insights into potential therapeutic strategies for perioperative cognitive dysfunction in stroke patients.