bluuebunny/crossref_metadata_2025 huggingface dataset:
Generative learning activities for online multimedia learning: when summarizing is effective but drawing is not
Authors: Lawson Alyssa P. , Mayer Richard E.
Published: September 2024

Introduction

The goal of this study is to determine whether two commonly used generative learning activities for text-based lessons—writing a summary or creating a drawing—help students learn from a multimedia lesson involving animations with short text captions without prior training in the generative activities.

Methods

Students viewed a series of four annotated animations on greenhouse gases. During pauses between the animations, students were asked to generate a written summary, to create a drawing, or to do both, whereas a control group viewed the lesson without any generative learning activities. Students were tested immediately (Experiment 1) or after a one-week delay (Experiment 2).

Results

In both experiments, students who produced written summaries scored significantly higher on the posttest than those who engaged in no generative learning activities (d = 0.48 in Experiment 1, d = 0.54 in Experiment 2), but there was no significant difference on the posttest for students who generated drawings compared to those who engaged in no generative learning activities. In addition, those who engaged in drawing and summarizing did not have significantly different posttest performance than those engaged in summarizing alone.

Discussion

We conclude that writing summaries during a highly visual animated lesson is effective for learning, possibly because it encourages students to engage in generative processing during learning more than drawing and we discuss potential reasons for this in the discussion. This work helps extend generative learning theory by pinpointing potential boundary conditions for learning by drawing and learning by summarizing.
From self-awareness to social savvy: how intrapersonal skills shape interpersonal competence in university students
Authors: Merlin J. Ida , Soubramanian Prabakar
Published: September 2024

Introduction

The extant study was conducted over a cross-sectional period and aimed to assess the effect of intrapersonal on the interpersonal dimensions of Emotional Intelligence among University Students.

Methods

A literature survey was carried out, and the study’s hypotheses were framed. Utilising a standardised Emotional Intelligence Scale, a widely accepted and validated measurement tool in the field, for measurement, the survey was disseminated in digital and physical formats. The researchers employed the snowball sampling technique to distribute the questionnaires and recruit volunteers for the study. The data collection period spanned from August 2023 through September 2023. The demographic information of the individuals was described using the SPSS 25 software, while the dataset for the personal and social competencies was analysed using the SmartPLS software.

Results and discussion

The research reveals a statistically significant association between the variables under investigation. Specifically, there exists a negative correlation between Motivation and Social Skills, as well as between Self-regulation and Social Awareness. These findings open up exciting opportunities for future research, inspiring further exploration into the development of intrapersonal and interpersonal competencies among students.
The experiences and psychological impact of living with premenstrual disorders: a systematic review and thematic synthesis
Authors: Brown Danielle , Smith Debbie M. , Osborn Elizabeth , Wittkowski Anja
Published: September 2024

Introduction

As the psychological impact and decreased quality of life experienced by women living with a Premenstrual Disorder (PMD) has been reported in the literature, the aim of this systematic review and thematic synthesis was to explore a) their experiences and the psychological impact of PMDs, specifically Premenstrual Syndrome (PMS) and Premenstrual Dysphoric Disorder (PMDD), and b) their perceived support needs.

Method

Six databases were searched for publications reporting on qualitative studies, since the database inception. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines were followed.

Results

Seventeen papers reporting on 479 women met the inclusion criteria: ten focused on PMS, six on PMDD and one on PMS and PMDD combined. Two main PMD themes were identified: 1) controlled by PMDs, which had three subthemes, and 2) a women and life left broken, with five subthemes.

Conclusion

Women’s accounts revealed that experiences of PMDs were intense, life changing and life-controlling. Women were left holding the responsibility of understanding and managing their own condition, whilst advocating for themselves in a healthcare setting in which their condition has been little understood. Consequently, women developed coping strategies to lead a functional life, and experienced changes to their sense of self. Clinical recommendations included the need for professionals working with women in crisis, to assess for PMDs and signpost towards specialist services.
Sleep duration mediates the association between heavy metals and the prevalence of depression: an integrated approach from the NHANES (2005–2020)
Authors: Mao Qingsong , Zhu Xiaoyi , Kong Yuzhe
Published: September 2024

Purpose

This study investigates the association between heavy metal exposure and the prevalence of depression, with the mediating role of sleep duration.

Method

Our study investigated the association between heavy metal concentration and depression risk in the NHANES from 2005 to 2020. We used logistic regression analysis, WQS regression model and BKMR model to assess the association. Mediation analysis was performed to explore the role of sleep duration in heavy metal exposure-induced depression.

Result

Of the 10,825 individuals included in this study, 705 (6.85%) were diagnosed with depression. We found a positive association between the cadmium (Cd), cobalt (Co), lead (Pb), antimony (Sb), wolfram (W) concentration and the prevalence of depression. Moreover, heavy metals mixtures were positively correlated with the prevalence of depression, with Cd identified as the main contributor in the WQS regression model (0.4654). Furthermore, sleep duration mediated the association between Cd, molybdenum (Mo), Pb, Sb, W exposure and prevalence of depression, explaining 3.12%, 15.84%, 18.24%, 9.56%, 3.68% of the effect.

Conclusion

The findings affirm that heavy metal exposure is linked to higher depression incidence and that this relationship is partly mediated by sleep duration alterations. The study underscores the importance of environmental health monitoring and interventions aimed at reducing heavy metal exposure to mitigate its psychological impacts.
Socioeconomic determinants and self-rated health among hotel housekeepers in the Balearic Islands (Spain)
Authors: Chela-Alvarez Xenia , Leiva Alfonso , Bulilete Oana , Llobera Joan
Published: September 2024

Background

Hotel housekeepers constitute an important occupational group in the Balearic Islands (Spain). Housekeeping is considered low-skilled and precarious and typically involves high physical demands and time pressure. The aim of this study is to analyze the association between the socioeconomic determinants of health and hotel housekeepers’ self-rated health.

Methods

This is a cross-sectional study conducted in Primary Health Care in the Balearic Islands (November 2018–February 2019). Hotel housekeepers over 18 years of age with free access to the Balearic Public Health System who had been employed during 2018 were eligible.

Results

We enrolled 1,043 hotel housekeepers; the mean score of health perceived status was 72.4/100 (SD 19.0). Those with a lower self-perceived health were statistically significant older, had Spanish nationality, lower level of studies, permanent or recurring seasonal contract, financial difficulties, a higher level of occupational stress, an external locus of control, reported work-life balance difficulties, were former smokers, insufficiently physical active and obese. We found lower scores in self-perceived health status score of −7.159 (CI95% -10.20- -4.12) among hotel housekeepers with osteoarthritis; −6.858 (CI95% -11.89- -1.82) among those with chronic depression; −3.697 (CI95% -6.08- -1.31) among those who reported difficulties in work-life balance; −2.414 (CI95% -4.69- -0.13) among participants who performed insufficient physical activity; −2.107 (CI% -4.44- -0.23) among those who reported financial strain. Lower self-rated health was also associated to a higher perceived stress, −1.440 (CI95% -2.09- -0.79); BMI (kg/m2), −0.299 (CI95% -0.53- -0.07); and longer time working as HH -0.177 (CI95% -0.33- -0.03).

Conclusion

Our results underscore the importance of psychosocial (such as difficulties in work-life balance and occupational stress) and material factors (such as financial difficulties) when explaining differences in self-perceived health. Public health interventions aimed at improving health status must consider inequalities in material and working conditions.
State-space estimation of spatially dynamic room impulse responses using a room acoustic model-based prior
Authors: MacWilliam Kathleen , Dietzen Thomas , Ali Randall , van Waterschoot Toon
Published: September 2024

Room impulse responses (RIRs) between static loudspeaker and microphone locations can be estimated using a number of well-established measurement and inference procedures. While these procedures assume a time-invariant acoustic system, time variations need to be considered for the case of spatially dynamic scenarios where loudspeakers and microphones are subject to movement. If the RIR is modeled using image sources, then movement implies that the distance to each image source varies over time, making the estimation of the spatially dynamic RIR particularly challenging. In this paper, we propose a procedure to estimate the early part of the spatially dynamic RIR between a stationary source and a microphone moving on a linear trajectory at constant velocity. The procedure is built upon a state-space model, where the state to be estimated represents the early RIR, the observation corresponds to a microphone recording in a spatially dynamic scenario, and time-varying distances to the image sources are incorporated into the state transition matrix obtained from static RIRs at the start and end points of the trajectory. The performance of the proposed approach is evaluated against state-of-the-art RIR interpolation and state-space estimation methods using simulations, demonstrating the potential of the proposed state-space model.
Immersive gathering: insights into virtual workplace meetings
Authors: Held Niels , Soeter Marieke , van Gent Sophie , Wiezer Noortje , Loots Gjalt , Niamut Omar
Published: September 2024

In the aftermath of the COVID-19 pandemic, the prevalence of remote business meetings through videoconferencing platforms such as Zoom and Microsoft Teams has substantially increased. While remote meetings provide benefits such as increased efficiency, flexibility, and environmental sustainability, they may also reduce meeting engagement, hamper conversational flow, or cause fatigue. This study investigates whether social Extended Reality technology can serve as a viable alternative for videoconferencing for remote business meetings. Employees from three distinct organizations in the Netherlands convened through Meta Horizon Workrooms, a collaborative virtual platform. Afterwards, participants were inquired about their perspectives on Extended Reality during semi-structured interviews that focused on the meeting’s engagement, conversational flow and the system’s usability. The study’s findings highlight the benefits of Extended Reality for remote business meetings, as participants reported improved interaction, more togetherness, and a better conversational flow. Embodied virtual reality was identified as useful in supporting nonverbal communication by allowing for more natural interaction and turn-taking, similar to face-to-face interactions. Nonetheless, challenges associated with avatar realism and the developing technological state of Extended Reality present barriers, rendering current widespread adoption a difficult task.
Residue retention and precision nitrogen management effects on soil physicochemical properties and productivity of maize-wheat-mungbean system in Indo-Gangetic Plains
Authors: Dinesh Govindaraj Kamalam , Sharma Dinesh Kumar , Jat Shankar Lal , Venkatramanan Veluswamy , Boomiraj Kovilpillai , Kadam Praveen , Prasad Shiv , Anokhe Archana , Selvakumar Selvaraj , Rathika S. , Ramesh T. , Bandyopadhyay Kalikinkar , Jayaraman Somasundaram , Ramesh Karuppanan Ramasamy , Sinduja Murugaiyan , Sathya Velusamy , Rao Cherukumalli Srinivasa , Dubey Rachana , Manu S. M. , Karthika Sangilidurai , Singh A. K. , Kumar Bhupender , Mahala D. M.
Published: September 2024

Maize-based crop systems are promoted in large scale in South Asia because they are more sustainable and efficient than rice-based systems. In the present study, using two combinations of crop residue management practices (CRM) with four precision nitrogen (N) management (PNM) systems, we assessed the impacts on soil physicochemical characteristics [soil organic carbon (SOC), bulk density (BD), soil penetration resistance (PR)] and crop yields in 6 years old continuous zero tillage (ZT) practices under maize-wheat-mungbean cropping system in a sandy loam soil of northwestern India. The highest SOC (5.73 g/kg) was observed in Zero Tillage with Residue Retention (ZT + R) plots. Zero-tillage with residue retention (ZT + R) significantly reduced the bulk density over the zero-tillage with no residue retention (ZT-R) across the soil depth. The bulk density in ZT + R was 6.5 and 10.7% lower at 0–15 cm and 15–30 cm soil depth, respectively, than under ZT-R. The penetration resistance (PR) was significantly lower in ZT + R than in ZT-R across the soil depth. Soil organic carbon (SOC) in ZT + R was 7.4% higher at 0–15 cm depth and 11.9% higher at 15–30 cm depth than under ZT-R treatment. Among PNM treatments, the sequence of treatments in SOC content was 50%N + Green Seeker (GS) >33%N + GS > RDN > 70%N + GS. The system productivity (maize equivalent yield) under ZT + R in combination with 50%BN + GS was 15.0% higher than crops grown under ZT-R with RDN. The wheat equivalent yield under the ZT + R treatment is found to be higher (5.97) in the 50%BN + GS, which was 18% higher than the recommended dose of nitrogen treatment (5.04) and 28% higher than the 70%BN + GS treatment (4.68). Results demonstrated that plots with residue retention performed better, showing a 10% increase in system productivity. The study concludes that a ZT-based system with maize-based crop rotations (MWMb) with crop residue retention and precision nitrogen management can improve soil properties and system productivity in northwestern India.
Melatonin in animal husbandry: functions and applications
Authors: Zhao Ruohan , Bai Yicheng , Yang Fangxiao
Published: September 2024

Melatonin (N-acetyl-5-methoxytryptamine) is an essential small molecule with diverse biological functions. It plays several key roles, including regulating the secretion of reproductive hormones and the reproductive cycle, enhancing the functionality of reproductive organs, improving the quality of sperm and eggs, and mitigating oxidative stress in the reproductive system. Melatonin effectively inhibits and scavenges excess free radicals while activating the antioxidant enzyme system and reduces the production of inflammatory factors and alleviates tissue damage caused by inflammation by regulating inflammatory pathways. Additionally, melatonin contributes to repairing the intestinal barrier and regulating the gut microbiota, thereby reducing bacterial and toxin permeation. The use of melatonin as an endogenous hormone in animal husbandry has garnered considerable attention because of its positive effects on animal production performance, reproductive outcomes, stress adaptation, disease treatment, and environmental sustainability. This review explores the characteristics and biological functions of melatonin, along with its current applications in animal production. Our findings may serve as a reference for the use of melatonin in animal farming and future developmental directions.
Human urine-derived stem cells: potential therapy for psoriasis-like dermatitis in mice
Authors: NasanOchir Munhkjargal , Uchiyama Akihiko , Amalia Syahla Nisaa , Ishikawa Mai , Nasanbat Bolor , Taivanbat Bayarmaa , Kosaka Keiji , Nishio Mayu , Yokoyama Yoko , Ogino Sachiko , Torii Ryoko , Motegi Sei-ichiro
Published: September 2024

Over the past decade, significant advancements in stem cell research led by mesenchymal stem cells (MSCs) have facilitated their practical application in clinical settings, including inflammatory skin diseases. Urine-derived stem cells (USCs) are obtained from healthy human urine in a noninvasive approach with properties similar to mesenchymal stem cells (MSCs). However, the therapeutic potential of USCs for inflammatory skin diseases has not yet been fully explored. Herein, we report the therapeutic effects of USCs-derived culture supernatants on mice with psoriasis-like dermatitis using our originally established human USCs model. We examined the isolation of USCs from human urine using a simple centrifugation process. Cell markers related to MSCs-like cell were positive for CD29, CD44, CD73, CD90, and negative for HLA-DR, CD34, and CD45 by FACS analysis. Differentiation assays revealed that the cells possessed the capability to differentiate into adipocytes, chondrocytes, and osteocytes. USCs-conditioned medium (CM) treatment significantly suppressed the severity of dermatitis in imiquimod (IMQ)-treated psoriasis mice model. Histopathological examination revealed that USCs-CM treatment attenuated epidermal thickness and the numbers of infiltrating inflammatory cells, including neutrophils, T-cells, and macrophages in dermatitis-affected areas in IMQ-treated psoriasis mice. Furthermore, USCs-CM treatment decreased mRNA levels of IL-17A, IL-17F, and IL-23p19 was reduced in dermatitis area. In summary, our findings revealed new potential strategies for utilizing USCs and USCs-CM as therapeutic agents for inflammatory skin diseases, including psoriasis.
Efficient and Robust Arabic Automotive Speech Command Recognition System
Authors: Ouali Soufiyan , El Garouani Said
Published: September 2024

The automotive speech recognition field has become an active research topic as it enables drivers to activate various in-car functionalities without being distracted. However, research in Arabic remains nascent compared to English, French, and German. Therefore, this paper presents a Moroccan Arabic automotive speech recognition system. Our system aims to enhance the driving experience to make it comfortable and safe while assisting individuals with disabilities. We created a speech dataset comprising 20 commonly used car commands. It consists of 5600 instances collected from Moroccan contributors and recorded in clean and noisy environments to increase its representativity. We used MFCC, weighted MFCC, and Spectral Subband Centroids (SSC) for feature extraction, as they demonstrated promising results in noisy settings. For classifier construction, we proposed a hybrid architecture, consisting of Bidirectional Long Short-Term Memory (Bi-LSTM) and the Convolutional Neural Network (CNN). Training our proposed model with WMFCC and SSC features achieved an accuracy of 98.48%, outperforming all baseline models we trained and outperforming the existing solutions in the state-of-the-art literature. Moreover, it shows promising results in a clean and noisy environment and maintains resilience to additive Gaussian noise while using few computational resources.
The Interplay of Values and Skill: How Do They Impact Graduates’ Employability?
Authors: Kruja Alba , Hysaj Belita , Oztas Ahmet
Published: September 2024

The purpose of this research is to explore the development of values and skills throughout university education and their subsequent manifestation in the workplace, with a particular focus on the impact on graduates’ employability and the creation of value for society. The study’s research question probes the dynamics of values, skills, employability, and social value creation by analyzing and evaluating the main missions of universities, which essentially involve teaching, researching, and extracurricular activities. An exploratory factor analysis is used to extract the relevant factors of graduates’ performance. A progressive model is developed pointing out the interplay of values and skills that lead to professional performance. The research comes up with practical and theoretical implications. It seeks to provide helpful findings for higher education institutions, industry, and policymakers in promoting the enhancement of graduates’ values and skills, ensuring their successful transition into the job market and generating long-term societal benefits.
The Role of Decentralised Managers in Decision-Making in a Large Industrial Company
Authors: Tavares Maria C , Vale José , Costa Andreia
Published: September 2024

The importance of decentralised managers in the organisational decision-making process has been the subject of studies advocating different concepts. This study aims to comprehend the role of decentralised managers in the decision-making process of a large industrial company. To this end, the case study method was adopted. Semi-structured interviews were conducted with the organisation’s top manager and decentralised managers. Based on the results of this investigation, it was possible to see that the organisation’s decentralised managers have a high degree of influence on the decision-making process and are responsible for adapting strategies and decisions according to the specific needs of their areas of activity. Therefore, this study significantly contributes to the theoretical and practical understanding of organisational decision-making processes. Furthermore, it provides a valuable foundation for further research into the decision-making processes of decentralised managers, thereby addressing a gap in the existing literature on their influence on organisational decision-making.
Handling Qualities Assessment and Discussion for Helicopter with Slung Load Systems Utilizing Various Sling Configurations
Authors: Wang Luofeng , Chen Renliang
Published: September 2024

Sling configurations significantly influence the coupled dynamics of the helicopter with slung load system (HSLS), resulting in alterations to handling qualities (HQs) that remain inadequately understood. This study introduces a computer-oriented, generalized method for constructing the HSLS model with various sling configurations. To evaluate the HQs of 1-point, 2-point, and 4-point sling configurations, both the stability and response criteria outlined in ADS-33E and a newly proposed criterion for slung loads towards the updated ADS-33F were employed. Modal analysis was conducted to elucidate the coupled mechanisms of the HSLS under different sling configurations. The findings reveal that the dynamics of the main rotor can attenuate the lateral swing motions of the load in the 4-point sling configuration. While multiple-point sling configurations can enhance the helicopter’s bandwidth, they also amplify the magnitude notch in the helicopter’s response. Nevertheless, when a larger hook distance is employed, the notch frequency is sufficiently distant from the load swing bandwidth, leading to a reduced degradation in HQs. A 4-point configuration with lateral and longitudinal hook distances equal to twice the width and length of the slung load is recommended in practice to achieve sufficient swing stability and mitigate HQ degradation.
Effect of Ensiling Density on Fermentation Characteristics and Aerobic Stability of Pennisetum giganteum Silages
Authors: Xu Guofeng , Yang Feifei , Hu Junfeng , Wang Yanjie , Dong Dong , Dong Zhihao , Li Junfeng , Shao Tao
Published: September 2024

The current work aimed to evaluate the effect of ensiling density on the fermentation quality and aerobic stability of Pennisetum giganteum silages. The silage was ensiled in laboratory silos (1 L), and three treatments were designed according to different ensiling densities: (1) low density (LD, 750 kg/m3); (2) medium density (MD, 900 kg/m3); and (3) high density (HD, 1050 kg/m3). During ensiling, the silage was sampled for a fermentation quality analysis. All silages were well preserved, as indicated by the high lactic acid (LA) content and low pH (<4.2). The MD treatment had the highest acetic acid content (24.9 g/kg dry matter) and the HD treatment had the lowest ammonia nitrogen (NH3-N) content (68.2 g/kg total nitrogen, TN) among all silages after 45 days of ensiling. The aerobic stability of HD, MD, and LD persisted for 51 h, 54 h, and 48 h, respectively. The NH3-N contents of HD and MD were below 80 g/kg TN during aerobic exposure. These results show that the increase in ensiling density improved the fermentation quality and aerobic stability of Pennisetum giganteum silages.
A Novel Transformer-CNN Approach for Predicting Soil Properties from LUCAS Vis-NIR Spectral Data
Authors: Cao Liying , Sun Miao , Yang Zhicheng , Jiang Donghui , Yin Dongjie , Duan Yunpeng
Published: September 2024

Soil, a non-renewable resource, requires continuous monitoring to prevent degradation and support sustainable agriculture. Visible-near-infrared (Vis-NIR) spectroscopy is a rapid and cost-effective method for predicting soil properties. While traditional machine learning methods are commonly used for modeling Vis-NIR spectral data, large datasets may benefit more from advanced deep learning techniques. In this study, based on the large soil spectral library LUCAS, we aimed to enhance regression model performance in soil property estimation by combining Transformer and convolutional neural network (CNN) techniques to predict 11 soil properties (clay, silt, pH in CaCl2, pH in H2O, CEC, OC, CaCO3, N, P, and K). The Transformer-CNN model accurately predicted most soil properties, outperforming other methods (partial least squares regression (PLSR), random forest regression (RFR), support vector machine regression (SVR), Long Short-Term Memory (LSTM), ResNet18) with a 10–24 percentage point improvement in the coefficient of determination (R2). The Transformer-CNN model excelled in predicting pH in CaCl2, pH in H2O, OC, CaCO3, and N (R2 = 0.94–0.96, RPD > 3) and performed well for clay, sand, CEC, P, and K (R2 = 0.77–0.85, 2 < RPD < 3). This study demonstrates the potential of Transformer-CNN in enhancing soil property prediction, although future work should aim to optimize computational efficiency and explore a wider range of applications to ensure its utility in different agricultural settings.
Assessing Heat Stress Tolerance of Wheat Genotypes through Integrated Molecular and Physio-Biochemical Analyses
Authors: Sallam Mohammed , Al-Ashkar Ibrahim , Al-Doss Abdullah , Al-Gaadi Khalid A. , Zeyada Ahmed M. , Ghazy Abdelhalim
Published: September 2024

Heat as an abiotic stress significantly impairs the sustainable productivity of wheat (Triticum aestivum L.). To determine the tolerance of genotypes to heat stress, a comprehensive approach should be used that integrates simultaneous phenotyping and genotyping analyses. The aim of this study is to identify local heat-tolerant genotypes using simple sequence repeat (SSR) markers and evaluate the selected genotypes under field conditions for their tolerance to heat stress. Of the 12 SSR markers that showed polymorphism, eight were associated with six important traits. The use of hierarchical cluster analysis (HC) based on SSR markers led to the identification of 13 genotypes that showed varying results and were grouped into three distinct heat tolerance classes: tolerant (T), moderately tolerant (MT), and sensitive (S). The results showed that heat stress had a significant effect on 19 traits under this study, with significant variation in tolerance to heat stress between genotypes. The tolerant genotypes exhibited a range of average thousand-kernel weight (TKW) values between 40.56 and 44.85, while the sensitive genotype (Yecora Rojo) had an average TKW of 35.45. Furthermore, the tolerant genotypes showed two to three times higher levels of antioxidants compared to the sensitive genotypes when exposed to heat stress. Among the traits analyzed, six showed a favorable combination of high heritability (>60%) and genetic gain (>20%). Through the integration of principal component analysis and stepwise multiple linear regression, it was determined that six traits (grain yield, 1000-kernel weight, plant height, intercellular carbon dioxide, flag leaf area, and grain filling duration) revealed differences between the 13 genotypes. HC analysis of the six traits resulted in the same division of genotypes into three main categories as observed in an HC analysis based on SSR markers. It is worth noting that Saudi wheat, including KSU106, KSU105, and KSU115 as local genotypes, in addition to the 16HTWYT-22 genotype, showed higher heat tolerance compared to the other genotypes tested, indicating its potential suitability for agriculture in Saudi Arabia. These results contribute to breeding programs focused on developing heat-tolerant wheat varieties and accelerate progress in wheat productivity improvement programs.
Design and Development of a Side Spray Device for UAVs to Improve Spray Coverage in Obstacle Neighborhoods
Authors: Kong Fanrui , Qiu Baijing , Dong Xiaoya , Yi Kechuan , Wang Qingqing , Jiang Chunxia , Zhang Xinwei , Huang Xin
Published: September 2024

Electric multirotor plant protection unmanned aerial vehicles (UAVs) are widely used in China for efficient and precise plant protection at low altitude for low volumes. Unstructured farmland in China has various types of obstacles, and UAVs usually use a detour path to avoid obstacles due to flight altitude limitations. However, existing UAV spray systems do not spray when in obstacle neighborhoods during obstacle avoidance, resulting in insufficient droplet coverage and reduced plant protection quality in the area. To improve the droplet coverage in obstacle neighborhoods, this article carries out a study of side spray technology with an electric quadrotor UAV, and proposes the design and development of a side spray device. The relationship between the obstacle avoidance path of the UAV and the spray pattern of the side spray device and their effect on droplet coverage in obstacle neighborhoods was explored. An accurate measurement method of the relative position between the UAV and obstacles was proposed. Spray angle calculations and nozzle selection for the side spray device were carried out in conjunction with the relative position. A rotor wind field simulation model was designed based on the lattice Boltzmann method (LBM), and the spatial layout of the side spray device on the UAV was designed based on the simulation results. To explore suitable spray patterns for the side spray device, comparative experiments of droplet coverage in obstacle neighborhoods were carried out under different environments, spray patterns, and flight parameter combinations. The relationship between the flight parameter combinations and the distribution uniformity of droplets and the effective swath width of the side spray device was explored. The experimental results were analyzed by an analysis of variance (ANOVA) and a relationship model was obtained. The results showed that the side spray device can effectively improve droplet coverage in obstacle neighborhoods compared to a device without side spray using the same flight parameter combinations. The effective swath width in obstacle neighborhoods can be increased by a minimum of 6.35%, maximum of 35.32%, and average of 15.25% using the side spray device. The error between the predicted values of the relational model and the field experiment results was less than 15%. The results verify the effectiveness and rationality of the method proposed in this article. This study can provide technical and theoretical references for improving the plant protection quality of UAVs in obstacle environments.
Can We Minimize the Risk of Dogs Developing Canine Otitis Externa?—A Retrospective Study on 321 Dogs
Authors: Ponn Peter Christian , Tipold Andrea , Volk Andrea Vanessa
Published: September 2024

Background: Canine otitis externa is a common presentation in small animal practice. The clinical signs vary individually from patient to patient. Regardless of the expression, they all decrease the quality of life. Therefore, this study aimed to identify factors that showed reduced odds for otitis externa. Methods: Clinical case records were searched for key terms regarding canine otitis. Statistical analyses were applied to evaluate associations with otitis externa. p-values of <0.05 were considered statistically significant. Results: Rhodesian Ridgeback and dogs with underlying infectious diseases had a reduced risk for otitis externa, while Retrievers and dogs with allergies had an increased risk. Furthermore, in the group of dogs with endocrinopathies, those with normal weight showed a reduced risk of developing canine otitis in comparison to those which were overweight. Conclusions: These results show a new point of view to reduce the prevalence of canine otitis by reducing the animals’ weight due to an additional risk of otitis in obese or overweight dogs. Furthermore, for the first time, Rhodesian Ridgebacks were identified in our study population to have a lower risk of developing otitis externa. Thus, breeders should reflect—within other responsibilities for the quality of life in their offspring—on breed-specifics about otitis when planning ahead.
Integration of Gut Microbiota with Transcriptomic and Metabolomic Profiling Reveals Growth Differences in Male Giant River Prawns (Macrobrachium rosenbergii)
Authors: Gao Quanxin , Huang Hao , Liu Peimin , Zhao Xiuxin , Tang Qiongying , Xia Zhenglong , Cai Miuying , Wang Rui , Huang Guanghua , Yi Shaokui
Published: September 2024

The giant freshwater prawn (GFP; Macrobrachium rosenbergii), a tropical species cultured worldwide, has high market demand and economic value. Male GFP growth varies considerably; however, the mechanisms underlying these growth differences remain unclear. In this study, we collected gut and hemolymphatic samples of large (ML), medium (MM), and small (MS) male GFPs and used the 16S rRNA sequencing and liquid chromatography–mass spectrometry-based metabolomic methods to explore gut microbiota and metabolites associated with GFP growth. The dominant bacteria were Firmicutes and Proteobacteria; higher growth rates correlated with a higher Firmicutes/Bacteroides ratio. Serum metabolite levels significantly differed between the ML and MS groups. We also combined transcriptomics with integrative multiomic techniques to further elucidate systematic molecular mechanisms in the GFPs. The results revealed that Faecalibacterium and Roseburia may improve gut health in GFP through butyrate release, affecting physiological homeostasis and leading to metabolic variations related to GFP growth differences. Notably, our results provide novel, fundamental insights into the molecular networks connecting various genes, metabolites, microbes, and phenotypes in GFPs, facilitating the elucidation of differential growth mechanisms in GFPs.
Evaluation of Galectin-3 in Dogs with Atrial Fibrillation
Authors: Arcuri Giulia , Valente Carlotta , Romito Giovanni , Bonsembiante Federico , Mazzoldi Chiara , Contiero Barbara , Poser Helen , Guglielmini Carlo
Published: September 2024

Galectin-3 (Gal-3) is a lectin associated with fibrosis and inflammation, and increased circulating concentrations are considered a risk factor for atrial fibrillation (AF) in humans. This retrospective study aimed to evaluate the serum concentration of Gal-3 in dogs with cardiac disease, both with and without AF. Dogs with AF associated with acquired heart diseases were selected, while cardiac healthy dogs and dogs with heart diseases but without AF served as controls. We statistically compared the serum concentration of Gal-3, which was assessed using a commercial canine-specific ELISA kit, among healthy dogs and dogs with heart disease with and without AF. Additionally, associations between Gal-3 and clinical and echocardiographic variables were evaluated. A total of 73 dogs were included, of which 17/73 (23.3%) were cardiac healthy and 56/73 (76.7%) had heart disease, with 26/56 (46.4%) having AF. No significant difference in Gal-3 concentration was found between cardiac healthy dogs (3.90 ± 1.65 ng/mL) and dogs with heart disease, either with or without AF (3.37 ± 1.04 ng/mL, p = 0.436 and 4.68 ± 1.80 ng/mL, p = 0.332, respectively). Gal-3 showed a significant positive correlation with age (r = 0.47, p < 0.001) and a negative correlation with body weight (r = −0.45, p < 0.001). The results of this study suggest that Gal-3 does not have an important role in the development of AF in dogs, but it is associated with advanced age.
From Human Perception of Good Practices to Horse (Equus Caballus) Welfare: Example of Equine-Assisted Activities
Authors: Grandgeorge Marine , Lerch Noémie , Delarue Alizée , Hausberger Martine
Published: September 2024

Equine-assisted intervention (EAI) studies deal with clients, whereas very few studies focused on the effects on animals. EAI equids are also submitted to management, which influences their welfare. Management and working conditions depend on human decisions and perception. We gathered information through a survey about facilities managers’ strategies (n = 51) and obtained direct information on management and working practices and their consequences on equids’ welfare through an observational study (n = eight facilities, 174 equids). Differences in managers’ perceptions of good management practices were related to the facility’s involvement in EAI, e.g., increased awareness of equids’ needs (housing and feeding), especially when EAI was the main activity. A detailed observational study on eight additional facilities confirmed that. Facility management profiles were paralleled by equids’ welfare profiles. Clear correlates were found between management decisions and welfare consequences. One major factor influencing welfare and human–equid interactions appeared to be working modalities, with more EAI facilities practicing groundwork and bitless work. Facilities where equids were the most involved in mixed activities had the most equids with compromised welfare. Given EAI clients’ particularities, conventional working modalities are less adapted and at risk of increased discomfort for equids. Overall, survey and observational approaches converged but some discrepancies (choice of equid type) appeared between the reported and observed prevalence.
Generalized 3D Model of Crosswind Concentrations and Deposition in the Atmospheric Boundary Layer
Authors: Farhane Mehdi , Souhar Otmane
Published: September 2024

In this paper, we introduce a comprehensive solution aimed at enhancing our understanding of three-dimensional atmospheric pollutant dispersion. This innovative solution involves the development of a generalized model that extends previous research and is applicable to all parameterization schemes of these equations, including wind speed profiles and turbulent diffusion coefficients, while incorporating the dry deposition criterion. Our methodology involves subdividing the atmospheric boundary layer into distinct sub-layers, which facilitates a detailed examination of pollutant dispersion dynamics. Extensive validation with data from the Hanford experiment has demonstrated the accuracy of this solution in simulating pollutant concentrations. The results demonstrate that there is a strong correlation between the projected and observed concentrations, underscoring the statistical reliability of our approach. This validation situates the statistical indices of our solution within an acceptable range, confirming its accuracy in predicting atmospheric pollutant dispersion. These findings thus establish our solution as a valid and effective method for studying complex environmental phenomena.
A Study on Outdoor Thermal Comfort of College Students in the Outdoor Corridors of Teaching Buildings in Hot and Humid Regions
Authors: Zhang Qiuwan , Li Yuxi , Lin Chang
Published: September 2024

It is important to create a favorable environment for various student activities and interactions by improving the thermal comfort of semi-outdoor spaces in teaching buildings. However, there has been limited research focusing on the thermal comfort levels of college students in these areas, such as corridors (access ways connecting different buildings outdoors). This study aims to assess the thermal comfort levels of college students in the corridors of teaching buildings in hot and humid regions. Based on field measurements and questionnaire surveys, the study evaluated the thermal comfort levels of male and female college students. The findings indicate the following: (1) air temperature and air velocity are the primary thermal environmental parameters affecting college students in corridor spaces, regardless of gender; (2) physiological equivalent temperature (PET) and Universal Thermal Climate Index (UTCI) were used as indices to evaluate the thermal environment of outdoor corridor spaces. Males and females perceive the outdoor environment as hot when PET (UTCI) values reach 33.5 (34.5) °C and 33.3 (33.5) °C, respectively. When the PET (UTCI) values reach 39.0 °C (37.5 °C) for males and 37.7 °C (38.3 °C) for females, individuals in corridor spaces will face extreme heat stress; (3) females find it more challenging than males to tolerate hot outdoor environments. The unacceptable temperatures for males and females are 31.1 °C and 31.8 °C, respectively; and (4) in hot outdoor environments, females are more susceptible than males to experiencing fatigue and negative emotions. The results of this study provide valuable insights for the future design and renovation of teaching buildings on university campuses.
Advanced Insights into Competitive Endogenous RNAs (ceRNAs) Regulated Pathogenic Mechanisms in Metastatic Triple-Negative Breast Cancer (mTNBC)
Authors: Qattan Amal , Al-Tweigeri Taher , Suleman Kausar , Alkhayal Wafa , Tulbah Asma
Published: September 2024

Triple-negative breast cancer is aggressive and challenging to treat because of a lack of targets and heterogeneity among tumors. A paramount factor in the mortality from breast cancer is metastasis, which is driven by genetic and phenotypic alterations that drive epithelial–mesenchymal transition, stemness, survival, migration and invasion. Many genetic and epigenetic mechanisms have been identified in triple-negative breast cancer that drive these metastatic phenotypes; however, this knowledge has not yet led to the development of effective drugs for metastatic triple-negative breast cancer (mTNBC). One that may not have received enough attention in the literature is post-translational regulation of broad sets of cancer-related genes through inhibitory microRNAs and the complex competitive endogenous RNA (ceRNA) regulatory networks they are influenced by. This field of study and the resulting knowledge regarding alterations in these networks is coming of age, enabling translation into clinical benefit for patients. Herein, we review metastatic triple-negative breast cancer (mTNBC), the role of ceRNA network regulation in metastasis (and therefore clinical outcomes), potential approaches for therapeutic exploitation of these alterations, knowledge gaps and future directions in the field.
Stat3 Inhibitors TTI-101 and SH5-07 Suppress Bladder Cancer Cell Survival in 3D Tumor Models
Authors: Singh Surya , Pathuri Gopal , Asch Adam , Rao Chinthalapally , Madka Venkateshwar
Published: September 2024

Bladder cancer (BCa) is one of the most lethal genitourinary malignancies owing to its propensity for recurrence and poor survival. The biochemical pathway, signal transducer and activator of transcription 3 (STAT3), has gained significance as a molecular pathway that promotes proliferation, invasion, and chemoresistance. In this study, we explored the targeting of STAT3 with TTI-101 and SH5-07 in BCa and elucidated the mechanisms in three-dimensional (3D) spheroid and organoid models. We optimized the growth of spheroids from human, rat, and mouse BCa cell lines (J82, NBT-II, and MB49 respectively) and organoids from BBN (N-butyl-N-(4-hydroxybutyl)-nitrosamine)-induced rat bladder tumors. Cell viability was assessed using MTT and trypan blue assays. Intracellular ATP production, ROS production, and calcium AM (CA)/EtBr staining were used to measure the spheroid and organoid inhibition and mitochondrial function. Western blot analysis was performed to evaluate the pharmacodynamic markers involved in cell proliferation, apoptosis, cancer stem cells (CSCs), and STAT3 signaling in BCa. We found that targeting STAT3 (using TTI-101 and SH5-07) significantly reduced the proliferation of BCa spheroids and organoids, which was accompanied by decreased expression of pSTAT3, Cyclin D1, and PCNA. Our data also demonstrated that treatment with STAT3 inhibitors induced ROS production and cell death in BCa spheroids and organoids. STAT3 inhibition-induced cell death was associated with the activation of caspase 3/7 and PARP cleavage. Moreover, TTI-101 and SH5-07 target cancer stem cells by downregulating the expression of CD44 and CD133 in 3D models. This study provides the first evidence for the prevention of BCa with small-molecule inhibitors TTI-101 and SH5-07 via suppression of CSCs and STAT3 signaling.
Unraveling the Mystery of Energy-Sensing Enzymes and Signaling Pathways in Tumorigenesis and Their Potential as Therapeutic Targets for Cancer
Authors: Mirza Zeenat , Karim Sajjad
Published: September 2024

Cancer research has advanced tremendously with the identification of causative genes, proteins, and signaling pathways. Numerous antitumor drugs have been designed and screened for cancer therapeutics; however, designing target-specific drugs for malignant cells with minimal side effects is challenging. Recently, energy-sensing- and homeostasis-associated molecules and signaling pathways playing a role in proliferation, apoptosis, autophagy, and angiogenesis have received increasing attention. Energy-metabolism-based studies have shown the contribution of energetics to cancer development, where tumor cells show increased glycolytic activity and decreased oxidative phosphorylation (the Warburg effect) in order to obtain the required additional energy for rapid division. The role of energy homeostasis in the survival of normal as well as malignant cells is critical; therefore, fuel intake and expenditure must be balanced within acceptable limits. Thus, energy-sensing enzymes detecting the disruption of glycolysis, AMP, ATP, or GTP levels are promising anticancer therapeutic targets. Here, we review the common energy mediators and energy sensors and their metabolic properties, mechanisms, and associated signaling pathways involved in carcinogenesis, and explore the possibility of identifying drugs for inhibiting the energy metabolism of tumor cells. Furthermore, to corroborate our hypothesis, we performed meta-analysis based on transcriptomic profiling to search for energy-associated biomarkers and canonical pathways.