bluuebunny/crossref_metadata_2025 huggingface dataset:
Building a model of navigational strategies for queer undergraduate students in STEM
Authors: Voigt Matthew , Bolick Margaret Ann , Cooper Destinee , Otterbeck Sarah , Smith Abigail Rose , Wright Chloe , Holloman Clara
Published: November 2023

Introduction

There is a critical need to foster inclusive educational spaces for Queer identifying students and to resist oppressive structures that seek to marginalize and inflict trauma on students because of their gender or sexual identity.

Methods

Drawing on thematic analysis and Queer theory, we interviewed 11 Queer identifying STEM students to understand the navigational strategies they leveraged within higher education environments related to their Queer identity.

Results

We developed a cyclical model of navigational strategies employed by Queer STEM students that involved evaluating the environments, performing psychological identity calculations, and engaging in behavioral actions. Students evaluated the environment by attending to the diversity of gender representation, presence of other Queer individuals, and contextual factors conveyed based on disciplinary expectations. Students engaged in psychological identity calculations whereby they assessed beliefs about the relevance, importance, and fears related to their Queer identity, with few perceiving any benefits. Behavioral actions resulted in students building a chosen community, disclosing or shelving their queer identity, and advocating for representation.

Discussion

In order to support Queer students to thrive in educational contexts, researchers and practitioners should examine ways to increase representation, use inclusive pedagogical strategies, and understand the relevance of Queerness within disciplinary fields. Questioning the relevance or presence of Queerness in higher education environments only further serves to oppress, inflict trauma, and marginalize Queer students.
The potential usefulness of standardized assessments to measure participant outcomes of adaptive/therapeutic horseback riding: a survey study
Authors: Hanson Moriah R. , Alm Kathy , Fields Beth , Gabriels Robin , Schmid Arlene A. , Stallones Lorann , Peters B. Caitlin
Published: November 2023

Adaptive or therapeutic riding (A/TR) is a recreational activity which provides mounted and ground-based horsemanship opportunities adapted to the abilities of the participants. A/TR provides physical and psychological benefits to participants with diverse disabilities, including physical, developmental, cognitive, and age-related disabilities, promoting higher quality of life. A/TR professionals may be limited in their capacity to implement outcome assessments and report the benefits of their community-based A/TR services to a broad audience. The purpose of this study was to identify whether and how A/TR professionals currently measure participant outcomes; benefits and barriers to implementing standardized assessments in A/TR; and characteristics which would make assessments useful in the community-based A/TR environment. To address this purpose, we conducted a survey among A/TR professionals. We found that while A/TR professionals measure outcomes among their participants, they typically do not use standardized assessments. Survey respondents believed benefits of implementing standardized assessments included bolstering the A/TR profession, acquiring funding, and communicating about A/TR services to a broad audience. Respondents also identified several barriers to implementing standardized assessments including time, systemic, and expertise constraints. Respondents reported that useful standardized assessments would be relevant to all age groups and populations who receive A/TR services. Finally, respondents shared that for standardized assessments to be useful, they would need to be low-cost, require less than 10–20 min, and available in either paper or computer format. This study revealed that standardized assessments may be a strong support to the A/TR profession; however, assessments must meet the unique needs of A/TR professionals.
Assessment of the Performances of the Protein Modeling Techniques Participating in CASP15 Using a Structure-Based Functional Site Prediction Approach: ResiRole
Authors: Huang Geoffrey J. , Parry Thomas K. , McLaughlin William A.
Published: November 2023

Background: Model quality assessments via computational methods which entail comparisons of the modeled structures to the experimentally determined structures are essential in the field of protein structure prediction. The assessments provide means to benchmark the accuracies of the modeling techniques and to aid with their development. We previously described the ResiRole method to gauge model quality principally based on the preservation of the structural characteristics described in SeqFEATURE functional site prediction models. Methods: We apply ResiRole to benchmark modeling group performances in the Critical Assessment of Structure Prediction experiment, round 15. To gauge model quality, a normalized Predicted Functional site Similarity Score (PFSS) was calculated as the average of one minus the absolute values of the differences of the functional site prediction probabilities, as found for the experimental structures versus those found at the corresponding sites in the structure models. Results: The average PFSS per modeling group (gPFSS) correlates with standard quality metrics, and can effectively be used to rank the accuracies of the groups. For the free modeling (FM) category, correlation coefficients of the Local Distance Difference Test (LDDT) and Global Distance Test-Total Score (GDT-TS) metrics with gPFSS were 0.98239 and 0.87691, respectively. An example finding for a specific group is that the gPFSS for EMBER3D was higher than expected based on the predictive relationship between gPFSS and LDDT. We infer the result is due to the use of constraints imprinted by function that are a part of the EMBER3D methodology. Also, we find functional site predictions that may guide further functional characterizations of the respective proteins. Conclusion: The gPFSS metric provides an effective means to assess and rank the performances of the structure prediction techniques according to their abilities to accurately recount the structural features at predicted functional sites.
Identification of a Prognostic Signature for Ovarian Cancer Based on Ubiquitin-Related Genes Suggesting a Potential Role for FBXO9
Authors: Luo Xiaomei , Wang Yingjie , Zhang Hao , Chen Guangquan , Sheng Jindan , Tian Xiu , Xue Renhao , Wang Yu
Published: November 2023

Background: Ovarian cancer (OV) is associated with high mortality and poses challenges in diagnosis and prognosis prediction. Ubiquitin-related genes (UbRGs) are involved in the initiation and progression of cancers, but have still not been utilized for diagnosis and prognosis of OV. Methods: K48-linked ubiquitination in ovarian tissues from our OV and control cohort was assessed using immunohistochemistry. UbRGs, including ubiquitin and ubiquitin-like regulators, were screened based on the TCGA-OV and GTEx database. Univariate Cox regression analysis identified survival-associated UbRGs. A risk model was established using the LASSO regression and multivariate Cox regression analysis. The relationship between UbRGs and immune cell infiltration, tumor mutational burden, drug sensitivity, and immune checkpoint was determined using the CIBERSORT, ESTIMATE, and Maftools algorithms, based on the Genomics of Drug Sensitivity in Cancer and TCGA-OV databases. GEPIA2.0 was used to analyze the correlation between FBXO9/UBD and DNA damage repair-related genes. Finally, FBXO9 and UBD were accessed in tissues or cells using immunohistochemistry, qPCR, and Western blot. Results: We confirmed the crucial role for ubiquitination in OV as a significant decrease of K48-linked ubiquitination was observed in primary OV lesions. We identified a prognostic signature utilizing two specific UbRGs, FBXO9 and UBD. The risk score obtained from this signature accurately predicted the overall survival of TCGA-OV training dataset and GSE32062 validation dataset. Furthermore, this risk score also showed association with immunocyte infiltration and drug sensitivity, revealing potential mechanisms for ubiquitination mediated OV risk. In addition, FBXO9, but not UBD, was found to be downregulated in OV and positively correlated with DNA damage repair pathways, suggesting FBXO9 as a potential cancer suppressor, likely via facilitating DNA damage repair. Conclusions: We identified and validated a signature of UbRGs that accurately predicts the prognosis, offers valuable guidance for optimizing chemotherapy and targeted therapies, and suggests a potential role for FBXO9 in OV.
Pain in Children and Adolescents with Spinal Muscular Atrophy: A Longitudinal Study from a Patient Registry
Authors: Pitarch-Castellano Inmaculada , Hervás David , Cattinari Maria , Ibáñez Albert Eugenia , López Lobato Mercedes , Ñungo Garzón Nancy , Rojas Juan , Puig-Ram Cristina , Madruga-Garrido Marcos
Published: November 2023

Spinal muscular atrophy (SMA) is a devastating genetic neurodegenerative disease caused by the insufficient production of Survival Motor Neuron (SMN) protein. It presents different phenotypes with frequent contractures and dislocations, scoliosis, and pain. This study aims to report the prevalence and description of pain and how it affects daily life by analyzing a new ad hoc questionnaire. An observational study of patients under 18 years of age with SMA was conducted at two referral centers in Spain. Data were analyzed using a descriptive analysis and a Bayesian ordinal regression model to assess the association with clinical and demographic variables. Fifty-one individuals were included in this study, 43% of whom reported pain with a median duration of 5.2 years and a mean Visual Analogic Scale (VAS) score of 5. Notably, 77% were receiving disease-modifying treatment, with more than 50% receiving analgesic treatment. The Bayesian model showed that functional status, lower limb contractures, and number of visits have a high probability (>90%) of influencing pain. Thus, the prevalence of pain in the SMA population under 18 years is substantial, and its presence could be associated with lower limb contractures, better functional status, and higher RULM (Revised Upper Limb Module) scores.
Cadmium as an Endocrine Disruptor That Hinders the Reproductive and Developmental Pathways in Freshwater Fish: A Review
Authors: Vinanthi Rajalakshmi Kaakarlu Shivakumar , Liu Wen-Chao , Balamuralikrishnan Balasubramanian , Meyyazhagan Arun , Sattanathan Govindharajan , Pappuswamy Manikantan , Joseph Kadanthottu Sebastian , Paari Kuppusamy Alagesan , Lee Jang-Won
Published: November 2023

Cadmium (Cd) is a non-essential element with sub-lethal effects even at low concentrations. The persistent nature of Cd and its tendency to bioaccumulate eventually create harmful effects on water biota, including fish. Cd affects various aspects of hormonal action in fish since it bioaccumulates in the endocrine system and hinders the synthesis, secretion, and metabolic activity of hormones, causing severe damage along the hypothalamus–pituitary–gonadal axis. Linking reproductive and developmental impairments in fish with ecologically relevant concentrations of individual metals can be challenging due to the complexity of aquatic ecosystems. This review deliberated the significant and novel trends of toxicological difficulties and approaches, including elucidating environmental sources’ bioavailability and Cd-induced toxic effects in freshwater fish. Both acute and chronic exposure to Cd can cause a range of adverse effects, such as growth inhibition, impaired reproductive capacity, endocrine disruption, and developmental abnormalities in freshwater fish, as evidenced by the present review. These investigations support the concept of Cd as a naturally available pollutant that causes irreversible damage in fish. These findings will help to understand the etiology of environmental circumstances that pose substantial dangers to fish health and are also crucial for preventing and treating exposure-related reproductive disturbances in freshwater fish due to environmental pollution.
Estimated Age of the Universe in Fractional Cosmology
Authors: Costa Emanuel Wallison de Oliveira , Jalalzadeh Raheleh , da Silva Júnior Pedro Felix , Rasouli Seyed Meraj Mousavi , Jalalzadeh Shahram
Published: November 2023

Our proposed cosmological framework, which is based on fractional quantum cosmology, aims to address the issue of synchronicity in the age of the universe. To achieve this, we have developed a new fractional ΛCDM cosmological model. We obtained the necessary formalism by obtaining the fractional Hamiltonian constraint in a general minisuperspace. This formalism has allowed us to derive the fractional Friedmann and Raychaudhuri equations for a homogeneous and isotropic cosmology. Unlike the traditional de Sitter phase, our model exhibits a power-law accelerated expansion in the late-time universe, when vacuum energy becomes dominant. By fitting the model’s parameters to cosmological observations, we determined that the fractional parameter of Lévy equals α=1.986. Additionally, we have calculated the age of the universe to be 13.8196 Gyr. Furthermore, we have found that the ratio of the age to Hubble time from the present epoch to the distant future is finite and confined within the interval 0.9858≤Ht<95.238.
A New Fractional-Order Virtual Inertia Support Based on Battery Energy Storage for Enhancing Microgrid Frequency Stability
Authors: Nour Morsy , Magdy Gaber , Bakeer Abualkasim , Telba Ahmad A. , Beroual Abderrahmane , Khaled Usama , Ali Hossam
Published: November 2023

Microgrids have a low inertia constant due to the high penetration of renewable energy sources and the limited penetration of conventional generation with rotating mass. This makes microgrids more susceptible to frequency stability challenges. Virtual inertia control (VIC) is one of the most effective approaches to improving microgrid frequency stability. Therefore, this study proposes a new model to precisely mimic inertia power based on an energy storage system (ESS) that supports low-inertia power systems. The developed VIC model considers the effect of both the DC-DC converter and the DC-AC inverter on the power of the ESS used. This allows for more precise and accurate modeling of the VIC compared to conventional models. Moreover, this study proposes a fractional-order derivative control for the proposed VIC model to provide greater flexibility in dealing with different perturbations that occur in the system. Furthermore, the effectiveness of the proposed fractional-order VIC (FOVIC) is verified through an islanded microgrid that includes heterogeneous sources: a small thermal power plant, wind and solar power plants, and ESSs. The simulation results performed using MATLAB software indicate that the proposed VIC scheme provides fast stabilization times and slight deviations in system frequency compared to the conventional VIC schemes. The proposed VIC outperforms the conventional load frequency control by about 80% and the conventional VIC model by about 45% in tackling load/RESs fluctuations and system uncertainty. Additionally, the studied microgrid with the proposed FOVIC scheme is noticeably more stable and responds faster than that designed with integer-order derivative control. Thus, the proposed FOVIC scheme gives better performance for frequency stability of low-inertia power systems compared to conventional VIC schemes used in the literature.
Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral Camera
Authors: Ban Sehui , Hong Inseo , Kwack Yurina
Published: November 2023

In recent times, there has been an increasing demand for the development of rapid and non-destructive assessment of the growth and quality of seedlings before transplanting. This study was conducted to examine the growth and quality of Chinese cabbage seedlings that can be determined via the image data acquired using a multispectral camera. Chinese cabbage seedlings were cultivated in five different plug trays (72, 105, 128, 162, and 200 cells/tray) for 30 days after sowing (DAS). The growth of seedlings had no significant difference in the early stage of cultivation; however, it decreased with increasing the number of cells in the plug tray due to the restricted root zone volume in the mid to late stages. Individual leaf area was predicted by analyzing of image data with high accuracy (R2 > 0.8) after 15 DAS; however, the accuracy of leaf area prediction per tray decreased due to overlapping and twisting leaves. Among six different vegetation indices, mrNDVI showed a high correlation (R2 > 0.6) with the dry weight of seedlings at 25 and 30 DAS. We confirmed that the leaf area of seedlings can be predicted non-destructively by analyzing the acquired image data per seedling and tray and suggested the applicability of vegetation indices for predicting the growth and quality of vegetable seedlings.
Indoor Plant Soil-Plant Analysis Development (SPAD) Prediction Based on Multispectral Indices and Soil Electroconductivity: A Deep Learning Approach
Authors: Radočaj Dorijan , Rapčan Irena , Jurišić Mladen
Published: November 2023

Leaf Soil-Plant Analysis Development (SPAD) prediction is a crucial measure of plant health and is essential for optimizing indoor plant management. The deep learning methods offer advanced tools for precise evaluations but their adaptation to the heterogeneous indoor plant ecosystem presents distinct challenges. This study assesses how accurately deep neural network (DNN) predicts SPAD values in leaves on indoor plants when compared to well-established machine learning techniques, including Random Forest (RF) and Extreme Gradient Boosting (XGB). The covariates for prediction were based on low-cost multispectral and soil electro-conductivity (EC) sensors, enabling a non-destructive sensing approach. The study also strongly emphasized multicollinearity analysis quantified by the Variance Inflation Factor (VIF) and two independent indices, as well as its effect on prediction accuracy using deep and machine learning methods. DNN resulted in higher accuracy to RF and XGB, also performing better using filtered data after multicollinearity analysis based on the coefficient of determination (R2), root mean square error (RMSE) and mean absolute error (MAE) (R2 = 0.589, RMSE = 11.68, MAE = 9.52) in comparison to using all input covariates (R2 = 0.476, RMSE = 12.90, MAE = 10.94). Overall, DNN was proven as a more accurate prediction method than the conventional machine learning approach for the prediction of leaf SPAD values in indoor plants, despite using heterogenous plant types and input covariates.
Competing Risks of Coronary Heart Disease Mortality versus Other Causes of Death in 10 Cohorts of Middle-Aged Men of the Seven Countries Study Followed for 60 Years to Extinction
Authors: Puddu Paolo Emilio , Piras Paolo , Kafatos Anthony , Adachi Hisashi , Tolonen Hanna , Menotti Alessandro
Published: November 2023

Objectives: To assess whether competing risks help explain why regions with initially high serum cholesterol have higher mortality from coronary heart disease (CHD) and lower mortality from stroke and other major heart diseases, while the reverse is found for those with initially lower serum cholesterol. Material and Methods. Ten cohorts of men (N = 9063) initially aged 40–59 in six countries were examined and followed for fatal outcomes for 60 years. Major cardiovascular disease (CVD) groups were CHD, stroke, and other Heart Diseases of Uncertain Etiology (HDUE), or the combination of stroke and HDUE (STHD), along with all other causes of death. Fine-Gray competing risk analysis was applied with CHD versus all other causes of death or STHD (direct mode) and all other causes of death or STHD versus CHD (inverse mode), and the effects of 19 covariates (of which 3 references) on the cause-specific hazard of the outcomes were assessed, thus investigating potential etiologic roles. A systematic comparison with results obtained by running the Cox model in direct and inverse modes with the same end-point results was also performed and illustrated graphically. Results. CHD mortality is bound to different risk factor relationships when compared with all other causes of death and with STHD. The role of serum cholesterol is crucial since, in both comparisons, by Fine-Gray, its coefficients are positive and significant for CHD and negative and significant for all other causes of death and STHD. Risk factor capabilities in specific outcome types of the CVD domain (CHD versus STHD) are different depending on the outcome types considered. Risk factor coefficients are smaller in Fine-Gray modelling and larger in the Cox model. Fine-Gray detects different risk factors whose coefficients may have opposite algebraic signs. Conclusions. This is the first report whereby a large group of risk factors are investigated in connection with life-long CVD outcomes by Fine-Gray competing risk analysis, and a systematic comparison is performed with results obtained by Cox models in both direct and inverse modes. Subtypes of CVD mortality should be summed with full awareness that some risk factors vary by pathology, and they should at least be disentangled into CHD and STHD.
Coronatine-Induced Maize Defense against Gibberella Stalk Rot by Activating Antioxidants and Phytohormone Signaling
Authors: Liu Mei , Sui Yiping , Yu Chunxin , Wang Xuncheng , Zhang Wei , Wang Baomin , Yan Jiye , Duan Liusheng
Published: November 2023

One of the most destructive diseases, Gibberella stalk rot (GSR), caused by Fusarium graminearum, reduces maize yields significantly. An induced resistance response is a potent and cost-effective plant defense against pathogen attack. The functional counterpart of JAs, coronatine (COR), has attracted a lot of interest recently due to its ability to control plant growth and stimulate secondary metabolism. Although several studies have focused on COR as a plant immune elicitor to improve plant resistance to pathogens, the effectiveness and underlying mechanisms of the suppressive ability against COR to F. graminearum in maize have been limited. We investigated the potential physiological and molecular mechanisms of COR in modulating maize resistance to F. graminearum. COR treatment strongly enhanced disease resistance and promoted stomatal closure with H2O2 accumulation, and 10 μg/mL was confirmed as the best concentration. COR treatment increased defense-related enzyme activity and decreased the malondialdehyde content with enhanced antioxidant enzyme activity. To identify candidate resistance genes and gain insight into the molecular mechanism of GSR resistance associated with COR, we integrated transcriptomic and metabolomic data to systemically explore the defense mechanisms of COR, and multiple hub genes were pinpointed using weighted gene correlation network analysis (WGCNA). We discovered 6 significant modules containing 10 candidate genes: WRKY transcription factor (LOC100279570), calcium-binding protein (LOC100382070), NBR1-like protein (LOC100275089), amino acid permease (LOC100382244), glutathione S-transferase (LOC541830), HXXXD-type acyl-transferase (LOC100191608), prolin-rich extensin-like receptor protein kinase (LOC100501564), AP2-like ethylene-responsive transcription factor (LOC100384380), basic leucine zipper (LOC100275351), and glycosyltransferase (LOC606486), which are highly correlated with the jasmonic acid–ethylene signaling pathway and antioxidants. In addition, a core set of metabolites, including alpha-linolenic acid metabolism and flavonoids biosynthesis linked to the hub genes, were identified. Taken together, our research revealed differentially expressed key genes and metabolites, as well as co-expression networks, associated with COR treatment of maize stems after F. graminearum infection. In addition, COR-treated maize had higher JA (JA-Ile and Me-JA) levels. We postulated that COR plays a positive role in maize resistance to F. graminearum by regulating antioxidant levels and the JA signaling pathway, and the flavonoid biosynthesis pathway is also involved in the resistance response against GSR.
Revisiting the Total Hildebrand and Partial Hansen Solubility Parameters of Analgesic Drug Meloxicam
Authors: Tinjacá Darío A. , Martinez Fleming , Peña María Angeles , Jouyban Abolghasem , Acree William E.
Published: November 2023

The reported total Hildebrand solubility parameter (δ2) value of meloxicam, as calculated based on the group contribution method proposed by Fedors, was compared with those estimated based on the maximum solubility peaks observed in different aqueous cosolvent systems at T = 298.15 K. Thus, the observed δ2 values varied from (19.8 to 29.1) MPa1/2, respectively. Moreover, the Hansen solubility parameters (HSPs) and the total Hildebrand solubility parameter were also determined by using the Bustamante regression method with the reported experimental solubility values of meloxicam in 31 neat solvents (30 organic solvents and water), obtaining the values: δd = 19.9 MPa1/2, δp = 16.9 MPa1/2, δh = 5.7 MPa1/2, and δT = 26.7 MPa1/2. Furthermore, the HSPs of meloxicam were also estimated based on the Hoftyzer–van Krevelen group contribution method, obtaining the values: δd = 17.9 MPa1/2, δp = 20.3 MPa1/2, and δh = 9.2 MPa1/2, and the total solubility parameter as: δT = 28.6 MPa1/2. In addition, the Kamlet–Abboud–Taft linear solvation energy relationship (KAT-LSER) model was also employed to evaluate the role of different intermolecular interactions on the dissolution of meloxicam in different solvents that varied in terms of polarity and hydrogen bonding capability.
The Psychological Effects of Relational Job Characteristics Scale: An Adaptation Study for Brazilian K-12 Teachers
Authors: Klein Natan , Costa Carlos , Marôco João P. , Pereira Cicero Roberto , Chambel Maria José
Published: November 2023

Relationally enriched jobs can foster psychological states, which, with respect to the beneficiaries of one’s work, drive one’s motivation. These states can be measured with the psychological effects of relational job characteristics scale, an instrument for which the validity is, at present, only supported by preliminary evidence. Accordingly, the present study’s objective was to test a set of psychometric properties reflecting the validity and reliability of the interpretations proposed for this scale. Findings drawn from a sample of 2011 K-12 Brazilian teachers suggested that a tridimensional structure with some residual covariances afforded the best fit. Given the existence of high inter-factor correlations, a second-order factor was proposed as a complementary, if not necessary, feature. Internal consistency omega and alpha coefficients attested to the scores’ reliability, and the factor structure achieved indicates invariance across public state, public municipal, and private Brazilian schools. Different relationships with prosocial motivation and work engagement were identified, suggesting validity of the scale based on relationships with other variables.
Design and Experimental Validation of an Optical Autofocusing System with Improved Accuracy
Authors: Hung Jui-Hsiang , Tu Ho-Da , Hsu Wen-Huai , Liu Chien-Sheng
Published: November 2023

This study proposes a modified optical design to improve the issue of autofocus accuracy in existing optical systems. The proposed system uses lens offset to convert incident light into non-parallel light, achieving a focus shift and avoiding severe deformation of the light spot near the focal point of the objective lens. Based on triangulation theory and optical focusing theories such as the centroid method, the proposed optical design improves the shortcomings of existing technology. Experimental results demonstrate that the proposed optical autofocusing system has better autofocus accuracy than traditional systems while also reducing the difficulty of image processing. In summary, the proposed optical system is not only an effective autofocusing technology but also a highly valuable optical inspection and industrial application technology. This system has broader application and development opportunities for future research and practice.
Optical Wireless Fronthaul-Enhanced High-Throughput FC-AE-1553 Space Networks
Authors: Chang Xiang , Li Xuzhi , He Jianhua , Ma Yonghua , Li Gen , Lu Lu
Published: November 2023

Existing space application networks in space stations are mainly fiber-optic cable-based networks due to their low size, weight, and power (SWaP) values. While fiber networks in space stations offer data transmission at high speeds with minimal signal loss, their major disadvantage is the lack of flexibility and mobility when new and unplanned space scientific equipment is added to the network. To enhance the flexibility of space networks while increasing their throughput, this paper introduces the hybrid space network (HSN), a new space network architecture that incorporates an optical wireless link, to meet the ever-increasing demands for larger bandwidth and higher mobile access capabilities in space scientific experiments. To best utilize the HSN’s system performance, we propose a multi-priority-based network scheduling scheme, which can dynamically adapt to the requirements of mass tasks and select the best transmission procedure. Through simulations, we find that by adding optical wireless communication (OWC) links to the state-of-the-art deterministic FC-AE-1553 space network, the HSN’s bandwidth can be increased by 20 times with an average latency reduction of 87.3%. We believe that the proposed HSN’s architecture may ultimately shape the future of space stations’ wireless connectivity, and in the meantime, innovate many advanced space applications with larger data rates and mobility requirements.
Solid Dispersions of Fenbendazole with Polymers and Succinic Acid Obtained via Methods of Mechanochemistry: Their Chemical Stability and Anthelmintic Efficiency
Authors: Khalikov Salavat S. , Khakina Ekaterina A. , Khalikov Marat S. , Varlamova Anastasiya I.
Published: November 2023

The substance fenbendazole is included in the composition of many anthelmintic drugs, in which the “chemical stability” parameter is one of the main characteristics when obtaining permission for the use of drugs in veterinary practice. Fenbendazole is characterized by low solubility in water and therefore the content of the substance is overestimated in its preparations, which increases the cost of the drug as well as the safety risks of pharmacotherapy. The possibilities of mechanochemical modification of fenbendazole were evaluated in order to improve the solubility index. During the mechanical processing treatment of the substance in the presence of polymeric substances, solid dispersions are formed, which have increased solubility and high anthelmintic activity. The inclusion in these dispersions of the third component, which is succinic acid, did not significantly change the solubility of fenbendazole. In all these dispersions, the substance remained unchanged both during the preparation of its solid dispersions and during their storage. When fenbendazole is modified in an organic solvent medium, the substance is partially converted into oxfendazole, which is one of its metabolites. The chemical stability of fenbendazole was confirmed via HPLC/MS and NMR spectroscopy. The anthelmintic activity of these compositions was evaluated and it was found that they have a high nematicidal activity.
Towards an Orthodox Acceptance of Geopolitical Responsibility: Building an Orthodox Agenda Based on Peace Ethics
Authors: Marksteiner-Ungureanu Cezar
Published: November 2023

Because of the Russian aggression in Ukraine, the question about the capacity of the Eastern Orthodox Church to act as a geopolitical actor and to explore its role on the international stage is more urgent than ever. The aim of this paper is to stress the importance of providing an ethics of peace regarding the Ukrainian conflict, following the classical methodology of social ethical research: (1) I begin by paying attention to the context; (2) I then analyse it according to the normative principle of social ethics; finally, (3) I try to respond to the following question: What could be done to improve the current situation?
Social Response and Measles Dynamics
Authors: Adebanji Atinuke O. , Aschl Franz , Chumo Ednah Chepkemoi , Owiredu Emmanuel Odame , Müller Johannes , Mbegalo Tukae
Published: November 2023

Measles remains one of the leading causes of death among young children globally, even though a safe and cost-effective vaccine is available. Vaccine hesitancy and social response to vaccination continue to undermine efforts to eradicate measles. In this study, we consider data about measles vaccination and measles prevalence in Germany for the years 2008–2012 in 345 districts. In the first part of the paper, we show that the probability of a local outbreak does not significantly depend on the vaccination coverage, but—if an outbreak does take place—the scale of the outbreak depends significantly on the vaccination coverage. Additionally, we show that the willingness to be vaccinated is significantly increased by local outbreaks, with a delay of about one year. In the second part of the paper, we consider a deterministic delay model to investigate the consequences of the statistical findings on the dynamics of the infection. Here, we find that the delay might induce oscillations if the vaccination coverage is rather low and the social response to an outbreak is sufficiently strong. The relevance of our findings is discussed at the end of the paper.
Terapia Cognitiva Conductual (TCC) como intervención para la ansiedad precompetitiva: Programa AG en futbolistas peruanos
Authors: Acuña Rodas Samuel Elvis , García Cárdenas Marilyn
Published: November 2023

La problemática actual de los futbolistas es la ansiedad precompetitiva, originando un deterioro en el rendimiento deportivo, debido a que segrega adrenalina causado por el estado de alerta. El objetivo de estudio fue identificar la eficacia del programa AG como intervención psicológica desde la terapia cognitivo conductual frente a la ansiedad precompetitiva en los futbolistas peruanos. Se realizó un estudio cuasi-experimental, aplicado en 44 futbolistas, dividido en el grupo de control (GC) y grupo experimental (GX); se utilizó la prueba CSAI-2 como medición para obtener los indicadores de las dimensiones de ansiedad precompetitiva: ansiedad somática (ASOM), ansiedad cognitiva (ACOG) y autoconfianza (AUCON). Se realizó la prueba de normalidad para identificar la distribución estadística; un análisis horizontal: Wilcoxon, (t=1.000) (GX) y (t=0.97) (GC), los resultados señalan que el programa AG ofrece mejoras significativas; y de manera vertical: U de Mann-Whitney, (t0) =0.037 y (t1) = 0.428, demostrando óptimos resultados en los futbolistas. Se concluye que el "Programa AG" muestra una disminución significativa en la variable ansiedad precompetitiva en el grupo experimental, mientras se enfoca en el entrenamiento cognitivo conductual para mejorar el rendimiento deportivo en el campo de fútbol.
Habilidades blandas para la empleabilidad en jóvenes de Educación Básica Alternativa
Authors: Vargas Vera Marco Antonio , Ruiz Villavicencio Giovana Edith , Garro-Aburto Luzmila Lourdes
Published: November 2023

El propósito del estudio fue demostrar la eficacia del programa educativo “Sophia” en el desarrollo de habilidades blandas para la empleabilidad en los jóvenes de EBA del ciclo avanzado. Es una investigación cuasi experimental, se trabajó con una muestra de 40 jóvenes distribuidos en dos grupos (experimental y control), se empleó un instrumento validado por juicio de expertos. La confiabilidad demostró buena consistencia interna (?=,817). Se encontró que el programa “Sophia” ha incrementado los niveles de las habilidades blandas en los estudiantes. Así también, el desarrollo de las habilidades interpersonales, intrapersonales y habilidades cognitivas. Los resultados demuestran que las habilidades blandas se pueden aprender o afianzar por medio de talleres enfocados en su desarrollo en un proceso de aprendizaje actitudinal. Estas habilidades mejoran el perfil de empleabilidad, el desempeño en las entrevistas de trabajo, retención del empleo y una vida más plena.
Efektivitas Interior Rumah Susun 18 m2 dengan Konsep Modular
Authors: Ismiranti Athifa Sri
Published: November 2023

Indonesia adalah negara yang menduduki peringkat kepadatan penduduk keempat dunia yang memiliki masalah ketidakmerataan penyebaran penduduk, ketimpangan tingkat ekonomi penduduk, serta lemahnya penataan kota. Hal tersebut membuat kota besar di Indonesia banyak diselimuti dengan area kumuh yang telah mengganggu tata kota, citra estetis kota, kesehatan masyarakat, serta menimbulkan permasalahan lingkungan dan sosial. Pembangunan secara vertikal berupa rumah susun bagi masyarakat menengah ke bawah adalah salah satu solusi efektif dalam mengatasi masalah area kumuh dan kepadatan penduduk, namun perlu diiringi desain yang layak huni. Penelitian ini mengkaji tentang studi kasus desain interior rumah susun dengan ukuran 18 m2 di Kota Bandung pada tahun 2022, dengan masyarakat sasar penduduk Kota Bandung, khususnya penduduk yang tinggal di area kumuh. Penelitian ini menggunakan metode kualitatif studi kasus dengan tujuan untuk memberikan solusi desain interior rumah susun yang layak huni, fungsional, dan efektif terhadap ruang yang terbatas. Hasil penelitian ini menunjukkan bahwa konsep desain perabot movable, foldable, dan modular dapat menghasilkan interior rumah susun yang ergonomis dan fungsional dengan mempertimbangkan efektivitas ruang. Realisasi konsep desain tersebut berpotensi mendukung Indonesia untuk memiliki tata kota yang layak huni, efektif, dan estetis jika diiringi dengan dukungan dari pemerintah kota terkait.
Problems of e-commerce development in Russia
Authors: Ivanov A. V. , Fedoseev I. K.
Published: November 2023

E-commerce has long been an integral part of the economy of both Russia and the whole world. Its share in global GDP is steadily growing, despite the numerous geopolitical difficulties of recent years. The authors of the article analyze statistical parameters describing the development of e-commerce in the Russian Federation, and also investigate numerous internal and external factors affecting its change. The current trends in the state of e-commerce in Russia are analyzed. As a result of the analysis of the data, the authors identify a number of problems that currently hinder the progress of such an important part of the Russian economy as online trading. Based on the structuring and evaluation of the identified problems, a set of measures is proposed that can contribute to the positive dynamics of e-commerce indicators in the Russian Federation.
Digitalization of the banking sector: trends and problems
Authors: Sozaeva T. Kh. , Zumakulova F. S. , Ilyasova K. Kh.
Published: November 2023

The authors consider the problems of digitalization of the financial sector. Special attention is paid to the banking sector, the positive and negative sides of the introduction of digital technologies are studied. The importance of the application of information and communication technologies in the banking sector, which has become the flagship of digitalization of the country's economy, is determined. The generalization of the main trends and problems of digital transformation of banking activities allowed us to reveal that in recent years, Russian banks have outpaced the banks of leading economies in the development of financial technologies. The introduction of digital technologies, increasing the speed of access to financial services for business, creates a competitive environment in the banking sector.
Individuelle Fürsorge
Authors: Sniegon Jennifer , Tietmeyer Jan
Published: November 2023

Ehrenamtliche Freiwilligenarbeit nimmt mit fast 30 Millionen Aktiven einen hohen Stellenwert in der deutschen Gesellschaft ein. Da die Führung von Freiwilligen bisher kaum untersucht worden ist, widmet sich diese explorative Studie diesem Thema. Als Untersuchungsfeld wird die Sozialwirtschaft gewählt. Die zentralen Ergebnisse sind: Fur die Führung von Freiwilligen müssen Ressourcen zur Verfügung stehen. Die Führung selbst sollte sich dabei möglichst intensiv um die fünf in der Untersuchung herausgearbeiteten Kategorien kümmern: Kommunikation, die Bedürfnisse der Ehrenamtlichen, Wertschätzung, die Rahmenbedingungen und die Aufgabe selbst.
Ethische Herausforderungen durch die Digitalisierung
Authors: Ludin Daniela , Wellbrock Wanja , Müller Erika , Bleibinhaus Melina , Kronawitter Jan
Published: November 2023

Insbesondere die Covid-19-Pandemie verdeutlicht, welchen Wettbewerbsvorteil eine hohe digitale Affinität in Krisensituationen bieten kann. Die Arbeitnehmer nehmen bezüglich der digitalen Transformation bereits starke Veränderungen wahr, während die Arbeitgeber hierauf noch nicht ausreichend mit Maßnahmen zur Qualifizierung oder Weiterbildung reagieren. Das ergab die vorliegende Studie. Zwar konnte der Übergang ins Homeoffice in den meisten Fällen schnell umgesetzt werden, weitere ausgereifte Konzepte sind allerdings sehr selten anzutreffen. Eine weitere wichtige Erkenntnis ist, dass die Versprechen der Unternehmen in Bezug auf ein sozial nachhaltiges Vorgehen oftmals nicht den Erwartungen und Wünschen der Mitarbeiter entsprechen. Schulungen und andere Maßnahmen, bei denen direkt auf den einzelnen Mitarbeiter eingegangen wird, finden nur in seltenen Fällen statt. Gängiger sind anonymisierte Flyer und Kampagnen zur Beschränkung der Nutzung von Kommunikationsmitteln auf den Arbeitsalltag, wie Verbote, Arbeits-E-Mails außerhalb der Bürozeit zu bearbeiten.
Fluktuationsrisiken einschätzen
Authors: Fischer Stephan , Rotzinger Joachim
Published: November 2023

Der Fachkräftemangel spitzt sich immer weiter zu. In gleichem Maße wächst bei Unternehmen der Wunsch, die Wechselabsichten von Beschäftigten vorherzusagen. Das ist rechtlich wie inhaltlich kompliziert, aber möglich. Eine »Rule of Thumb« ebnet den Weg zu komplexeren Rechen- und Visualisierungswegen.
Supply-Chain-Resilienz-Navigator
Authors: Buchholz Wolfgang
Published: November 2023

Aktuell ist die Weltwirtschaft von disruptiven Veränderungen und einer hohen Unsicherheit geprägt. Politische Spannungen in Asien, unklare Machtverhältnisse in europäischen Ländern und auch in den USA führen zu Instabilität und negativen Aussichten für die Wirtschaft. Auch die Nachwirkungen von Covid-19 sowie der andauernde russische Angriffskrieg auf die Ukraine haben einen massiven Einfluss auf den globalen Handel und die dazugehörigen Lieferketten. Um gegen diese schwer vorhersehbaren, aber massiv wirksamen negativen Einflussfaktoren besser gewappnet zu sein, müssen Unternehmen ihre Lieferketten widerstandsfähiger (resilienter) gestalten.
Pengaruh Komunikasi dan Gaya Kepemimpinan Terhadap Motivasi Kerja Karyawan PT. HKI Binjai Brandan Zone
Authors: Adrianto Adrianto , Wulandari Lubis Dewi Shinta
Published: November 2023

Penelitian ini bertujuan untuk mengetahui pengaruh komunikasi dan gaya kepemimpinan terhadap motivasi kerja PT HKI Binjai Brandan Zone. Populasi dalam penelitian ini adalah 98 karyawan PT HKI Binjai Brandan Zone. Pengambilan sampel dalam penelitian ini dengan teknik total sampling, dimana seluruh populasi adalah sampel, yaitu berjumlah 98 karyawan. Penelitian menggunakan pendekatan kuantitatif. Kuesinoner yang digunakan adalah kuesioner komunikasi, gaya kepemimpinan, budaya organisasi, kepuasan kerja, dan motivasi kerja yang telah valid dan reliabel. Penelitian ini dianalisis dengan uji analisis regresi berganda. Hasil penelitian menunjukkan bahwa: (1) Terdapat pengaruh secara simultan antara komunikasi, gaya kepemimpinan, terhadap motivasi kerja pada PT HKI Binjai Brandan Zone, dengan F hitung = 39.811 > nilai F tabel = 2.47 dengan nilai signifikansi 0.000 (P < 0.05), (2). Terdapat pengaruh secara parsial antara komunikasi terhadap motivasi kerja pada PT HKI Binjai Brandan Zone, dengan T hitungnya adalah adalah 6.831 > T tabel = 1.66 dengan tingkat signifikansi 0.000 (P < 0.05), (3) Terdapat pengaruh secara parsial antara gaya kepemimpinan terhadap motivasi kerja pada PT HKI Binjai Brandan Zone, dengan T hitungnya adalah adalah 3.419 > T tabel = 1.66 dengan tingkat signifikansi 0.000 (P < 0.05).
Simulasi Terbentuknya Gelombang Permukaan Akibat Adanya Longsoran Bawah Laut (Metode Lax- Friedrich)
Authors: Enkekes Yenci Brika , Fauzi Rifky
Published: November 2023

The problem studied in this paper is the formation of surface waves due to underwater landslides. The shallow water wave equation is employed to study the phenomenon. The equation is solved numerically by using the Lax-Friedrich method. The numerical result show that this method is able to simulate the generation of surface wave due to underwater landslide.
Prediksi Finansial Distress pada Salah Satu Bank Konvensional Menggunakan Machine Learning
Authors: Lestari Fuji
Published: November 2023

Financial distress is when a company experiences a shortage or insufficient funds to run the company. Prediction of financial distress is needed to prevent bankruptcy. In this study, financial distress predictions were made based on financial ratios obtained from monthly financial reports from a bank convention, after which the proportion that had the most influence on financial distress was determined. The models used in this study are several machine learning models, namely, Logistic Regression, Support Vector Machine, and Random Forest. Based on the analysis results, the best model for predicting financial pressure is the Random Forest Model, with an accuracy of 96.77%. Based on the best model obtained, namely the Random Forest, it can be determined that the ratio that is very influential on financial distress is the ratio of Total Asset Turnover.
Prediksi Terkena Diabetes menggunakan Metode K-Nearest Neighbor (KNN) pada Dataset UCI Machine Learning Diabetes
Authors: S Mika Alvionita
Published: November 2023

Penelitian ini menggunakan algoritma K- Nearest Neighbor (KNN) untuk memprediksi resiko seseorang terkena diabetes. Variabel yang digunakan dalam prediksi adalah pregnancies, glucose, blood pressure, skin thickness, insulin, BMI, diabetes pedigree function, dan age. Analisis menunjukkan bahwa Glucose, BMI, dan Age memiliki korelasi tinggi dengan diagnosis diabetes, menjadikannya indikator yang kuat untuk prediksi. Melalui metode KNN dengan k=1, dilakukan evaluasi model menggunakan Confusion Matrix. Hasil menunjukkan akurasi sebesar 96%, precision sebesar 91,6%, sensitivitas sebesar 88,7%, dan MSE sebesar 0,1376. Temuan ini menunjukkan bahwa KNN dengan k=1 efektif dalam memprediksi diabetes berdasarkan variabel klinis. Informasi ini dapat memberikan manfaat dalam pencegahan dan pengobatan diabetes secara lebih efektif.
Métodos de obtención de lanolina del agua de lavado de lana
Authors:   , Greco de Beroqui Nelly H.
Published: November 2023

Índice Capítulo I Lanolina Consideraciones genérales y estadística Composición química Propiedades Usos Capítulo II Dosaje de materia grasa de la lana de ovino 1°) En lanas 2°) En agua de lavado de lanas 3°) En barros residuales Capítulo III Métodos de extracción de la grasa de las aguas do lavado. a) Método por acidificación. Esquema del desarrollo industrial b) Método por centrifugación Esquema del desarrollo industrial Purificación de la grasa bruta Constantes de caracterización de la lanolina Conclusiones.