bluuebunny/crossref_metadata_2025 huggingface dataset:
Positive quadrature formula on an arc of the unit circle
Authors: Bultheel Adhemar , Mendoza Carlos Díaz
Published: June 2024

We analyze positive quadrature formulas associated with Geronimus measures supported on an arc of the unit circle that exactly integrate certain subspaces of Laurent polynomials with the highest possible dimension.The quasi-paraorthogonal polynomials associated with these measures will play a fundamental role inthe case of quadrature rules with one node (Szego-Radau) or two nodes (Szego-Lobatto) preselected at the end points of the arc.
MSC Classification: 41A21 30C15 41A25 30E10
Sense of loss of control and impaired goal-directed control in Bulimia nervosa: A case-control study
Authors: Peng Sufang , Zheng Hui , Wu Mengting , Guo Lei , Zhang Lei , Yuan TiFei , Chen Jue
Published: June 2024

Background: The sense of loss of control (LOC) is the key psychological characteristics of bulimia nervosa (BN), and runs throughout the binge-eating and purging behavior. Recent research has shown that LOC may result from impaired goal directed control.
Method: This study examined the relationship between LOC and goal directed control in BN patients. Female patients with BN and healthy controls were enrolled (35 vs 35, age ranged from 17-30). The difference in demographic information, eating disorder scale, mood status, impulsivity, and food addiction scales were compared between the two groups. A sequential two-stage decision task was used to assess goal-directed/habitual control in both groups, and metrics were fitted by computational psychiatry method to assess the goal-directed control. We explored the relationship between LOC and goal directed control using multiple linear regression and partial correlations in BN group. The patients with BN were followed up 1 month after discharge, and the relationship between goal-directed control and treatment outcome which was indicated by LOC reduction rate was analyzed.
Results: BN subjects exhibited impaired goal-directed control, more psychological/behavior characters related to eating disorder, and higher depression, anxiety, impulsivity, food addiction level. BN patients’ higher LOC was associated with goal directed impairment index, eating/weight concern, dietary restriction, BISBAS behavior drive, BIS noplanning impulse and age (p<0.05). However, the influence of goal directed impairment index (choice stickiness and beta MF) on LOC still existed after regressed other factors. The treatment outcome was associated with goal directed impairment index, body shape concern, weight concern, BISBAS behavior drive/fun seeking, BIS noplanning impulse, YFAS. When other factors were regressed and only spaceship task test indicators were considered, a clear trend was observed for higher mixing weight, lower beta MB and choice stickiness (p<0.001) were associated with better treatment outcomes.
Conclusion: We provided evidence on relevant role of goal-directed control deficit in the LOC of BN. The behavioral symptoms of BN are understood from the psychological feature of LOC, and the common potential psychological mechanism of BN and other mental disorders is explored by verifying the role of goal-directed deficits in LOC. These findings provided new insight to improve the interventions of BN. In the future, it may be possible to improve the sense of LOC in BN by intervening with goal-directed deficits.
Association between Self-Reported Sleep Quality and Body Mass Index among Jimma University Academic Staff: Structural Equation Modeling
Authors: Ahmed Essa , Gizaw Getu , Argaw Alemayehu
Published: June 2024

Background
Adult populations of more than 2 billion and 1.12 trillion people will suffer from overweight and obesity, respectively, by 2030. Sleep quality has declined simultaneously with the increased prevalence of overweight and obesity, suggesting a potential link. However, there are inadequate published articles showing that poor sleep quality is a risk factor for obesity in young and older adults in Ethiopia.
Methods
An institution-based cross-sectional study of Jimma University academic staff was conducted. A total of 427 academic staff members participated in the study. A two-stage cluster sampling procedure was used to select study participants by their departments. Height and weight measurements were taken by trained data collectors. A reliable self-administered questionnaire was used to assess sleep quality. Analysis was performed using Stata version 13.1. Structural equation modeling using the maximum likelihood estimation method was used to analyze the data.
Results
A total of 32.3% (95% CI: 28.0, 36.9) of the participants had poor sleep quality. The mean (± SD) BMI of the respondents was 22.7 (± 3.1) kg/m2. The study indicated that 23.1% of the academicians at Jimma University had a BMI greater than 25 kg/m2. The overall prevalence of depression, anxiety, and stress was 25.5%, 44.7%, and 16.62%, respectively. Poor sleep quality appeared to have a significant inverse and indirect association with BMI (β = -0.08/P = 0.042), which was mediated through depression and obesogenic dietary behavior.
Conclusion
The present study revealed that poor sleep quality is inversely associated with BMI among Jimma University academic staff. It is highlighted in the study that there is a significant interplay between depression, obesogenic eating behavior and poor sleep quality in influencing healthy weight, but future research should emerge to test this association with the support of clinical trials.
Exploring the experiences of people with dementia and their informal carers on sleep: a qualitative design-based study
Authors: Huisman C. A.M. , Huisman E. R.C.M. , Brankaert R. G.A. , Kort H. S.M.
Published: June 2024

INTRODUCTION: Most people with dementia (PwD) are living with support from an informal caregiver (IC). Sleep issues are common among all types of dementia and increase the burden on the IC. Disturbed nights may lead to earlier nursing home admission. This study explored the experiences and challenges concerning sleep of PwD and IC. METHODS: A qualitative study using semi-structured interviews was performed. The target groups were PwD, IC, and care professionals. The sample comprised 20 informal caregivers, 2 PwD, and 9 professionals. Thematic analysis is used to identify patterns within and across data concerning participants’ lived experiences. RESULTS: In total, 31 participants have participated in 28 interviews. Three themes were identified, namely a) challenges in maintaining time orientation and day/night routines, b) irregularities and concerns of informal caregivers at night, and c) environmental cues which either support or disturb sleep. DISCUSSION: The results give insight into the experiences of PwD and IC at home concerning sleep. This guides the development of non-pharmacological interventions for supporting sleep, e.g., the importance of supporting day structure.
The usage of family audiobooks as a legacy for grieving minor children - an exploratory quantitative analysis
Authors: Ateş Gülay , Hesse Michaela , Cuhls Henning
Published: June 2024

Background
Terminally ill parents with minor children require comprehensive support. We find a broad range of interventions such as Dignity therapy or Life Review. There are several studies concerning the effects of biographical interventions in palliative care, but research on the usage of digital reminiscence is sparse. Since 2017, terminally ill parents have been offered the opportunity to record an audio book for their minor children. It also offers parents with a terminal illness the opportunity to use their own voice to influence how and what aspects of themselves they want to be remembered. This professionally supported, voluntary service is free of charge and unique in Germany. The objective of this study was to provide novel insights into the satisfaction with and use of the family audiobook, as well as the effects on children, by surveying the terminally ill parent and their related persons.
Methods
A survey was conducted online among terminally ill parents and their related persons, who were identified and contacted through the Family Audiobook Association in Germany. The anonymous online survey was accessible between September 2023 and November 2023. A descriptive analysis of the quantitative data was conducted using the statistical software package SPSS.
Results
186 respondents, 95 terminally ill parents and 91 related persons, provided responses to the online survey. Almost all terminally ill parents felt eased to have recorded a family audio book. The two groups exhibited differences in the manner in which they used and listened to the family audiobook. The open answers provided insight into the emotional and situational context in which the audiobook was being used. While some children are observed listening to family audiobooks with their parents or friends, other children are not yet ready for this.
Conclusions
The audiobook offers terminally ill parents with minor children a valuable opportunity to tell their own biographical story, to offer support to the bereaved in remembering and to preserve the voice of the deceased for the children. In addition, this approach could help healthcare professionals to reduce the stress associated with providing end-of-life care for terminally ill parents with minor children.
Quality assessment of fish vaccine data in the Norwegian Veterinary Prescription Register (VetReg)
Authors: Udhwani Trishang , Dean Katharine R. , Sommerset Ingunn , Helgesen Kari Olli
Published: June 2024

Background
Vaccination of farmed salmonids has been an integral part of preventing infectious diseases in Norway’s aquaculture industry. The Norwegian government regulates the use of vaccines and there is a need to monitor vaccine usage for both regulatory and research purposes, at local and national scales. The Norwegian Veterinary Prescription Register (VetReg) is a national database that includes all prescriptions of medicines to animals dispensed by pharmacies and all medicines used for food producing animals by veterinarians. The purpose of our study was to evaluate the quality of fish vaccination data reported to VetReg in 2016–2022. We considered the following attributes: completeness, validity, and timeliness. For external validation, we compared the data in VetReg to wholesaler statistics.
Results
Pharmacies reported fish vaccines to VetReg in a variety of quantity units, including doses and volumes, which required us to harmonize the data to a single unit. Harmonization was not possible for nine percent of the records, which were mainly bath vaccines reported in doses. We identified specific issues that required manual editing of the units of 1 percent of the records. After exclusions, we validated individual variables such as product codes and location identifiers using external registers. Some variables, such as the ‘number of animals’, were inconsistent for 31 percent of the records. The coverage of vaccine data in VetReg ranged from 81 to 113 percent for the ten most sold vaccines in 2020–2022 as compared to wholesales statistics. For the timeliness, we found that 75 percent of the records were submitted within 25 days for all years.
Conclusions
Overall, we found that the fish vaccination data in VetReg was of sufficient quality to monitor injectable vaccine usage at hatcheries after 2020. We identified issues at the product level, with bath vaccines, and with single variables (number of animals, weight, and species). We recommend that quality can be improved by reporting all vaccines in volume rather than doses, reporting a single vaccine prescription per report, and including a deadline for pharmacies to report in the legislation.
Low-Resource Multimodal Big Five Personality Classification in Multilingualism Context
Authors: Hu Guoqiang , Luo Jincheng , Nie Ruichi , Tian Jiajun , Li Ruilai , Quan Yujuan
Published: June 2024

Big Five personality classifications often rely on capturing users' facial expressions or other private data. However, in real-life scenarios, individuals may not want their facial expressions recorded due to concerns about accidental data leakage. Furthermore, speech-based personality classification models face new challenges in real-life multilingual environments. We have developed a multimodal Big Five personality classification model that can be applied to multilingual environments. The model relies solely on speech for personality classification. The combination of paralinguistic information from speech and semantic information from transcribed text can provide sufficient information for predicting personality tendencies. The multilingual large-scale pre-trained models, Emotion2vec and Bert, are utilized by the model to process data in speech and text modalities, respectively. The models are trained on the First Impressions monolingual speech dataset and then fine-tuned on the multilingual real dataset, which contains live slices of 512 virtual anchors. The model achieves 60.13% and 52.40% accuracy in low-resource scenarios, respectively. Furthermore, as the length of the audio increases, the accuracy of the model can improve up to 68.86% in real-life scenarios. This potential can be used to develop streaming personality classification models in the future. Personality monitoring has a wide range of applications, including assisting healthcare professionals in providing personalized treatment plans and in consumer psychology to analyze audience segments for businesses.
Adherence to infliximab treatment in patients with immune-mediated inflammatory diseases from a Referral Center in Brazil: A cohort study
Authors: Lauton Priscila Moreira , Pereira Fernanda Silva , Oliveira Livia Brito , Brauer Alline Mikaelle Nunes Wildemberg , Noblat Lucia Araújo Costa Beisl , Santana Genoile Oliveira , Santos Pablo Moura
Published: June 2024

Background
Infliximab therapy is effective in controlling symptoms and attaining clinical remission of immune-mediated inflammatory diseases. However, treatment adherence is essential to achieve the therapeutic objective. This study aimed to determine the rate of adherence to infliximab treatment in patients treated at a referral center at a university hospital.
Method
This ambispective cohort study included patients treated at the Professor Edgard Santos University Hospital (HUPES) referral center of our university hospital between March 2022 and February 2023. Sociodemographic, clinical, and pharmacotherapeutic data were collected from patients through interviews and medical record reviews using a structured form. The adherence rate was defined as the proportion of days covered in a year. Patients who achieved an adherence rate > 80% were considered adherent.
Results
The treatment adherence rate was 91.04%. Individuals with inflammatory bowel diseases had a 39.1% higher risk of non-adherence to treatment compared with other patients. Most patients achieved remission or control of the underlying disease activity and had good functional capacities. The main reason for absence on the scheduled date was difficulty traveling to the referral center.
Conclusions
Despite the reported difficulties, treatment adherence was observed to be high. As the study was conducted in a reference unit with multidisciplinary care and continuous monitoring for treatment effectiveness, safety, and adherence, welcoming and good communication between professionals and patients may have contributed to the high adherence rate.
From frozen to feeding: storage characteristics of banked donor human milk used in a single level IV academic neonatal intensive care unit
Authors: Chetta Katherine , Galemmo Mary , Camilon Terence , Tiernan Wrenn , Savino Whitney , Rohrer Allison , Baatz John , Wagner Carol
Published: June 2024

Background: The storage time of banked donor human milk (DHM) administered in an academic hospital to critically ill preterm neonates was previously unknown.
Objective: This study was designed to determine the storage time of banked DHM by measurements obtained at the hospital level (by lot finish date) and individual patient level (by feeding date) over 2-year observation period.
Results: Both methods of measuring storage time (hospital-level and patient-level) showed that DHM was stored on average 8 ±1 months before use. Variations in storage time fluctuated across months with a minimum and maximum storage duration of 119 to 317 days. Most infants received a median of 3 [2-5 IQR] unique lots of DHM.
Conclusion: The storage time of DHM was successfully measured. Over 95% of DHM received was stored longer than 6 months. Storage times varied widely, uncovering a potential area of future research.
Analysis of cashew tree density and its effect on damage caused by the stem borer, Apate terebrans (Coleoptera: Bostrichidae), in Côte d'Ivoire (West Africa)
Authors: ALIKO Yédé Jean , N’GUETTIA Akoua Miézan Claudine , KOFFI Alain Déron Kouakou , MARTIN Thibaud , N'GORAN San-Whouly Mauricette OUALI
Published: June 2024

The stem borer Apate terebrans is a pest of tropical regions that considerably limits the production of cashew tree, an important crop for climate change adaptation. This study assessed the effects of cashew tree density on the damage of A. terebrans, for the effective and sustainable management of this insect pest. The density was characterised by the quadrat method in 10 orchards in the localities of Bondoukou and Bouna, in the north-east of Côte d'Ivoire. Based on systematic sampling, monthly counts of A. terebrans infestations were conducted on 1924 cashew trees from July 2018 to June 2020. Temperature and hygrometry were recorded over this period. In Bondoukou, an average density of 515 ± 235.5 cashew trees/ha was recorded, with a coefficient of variation (CV) of 58.64%. This density was significantly higher than that of Bouna (235 ± 39.6 cashew trees/ha), which showed low heterogeneity (CV = 29.44%). Temperature was higher in Bouna than in Bondoukou and vice versa for hygrometry. Linear regression showed a moderate and significant relationship between cashew tree density and damage, mainly in the locality with high spatial heterogeneity (i.e. Bondoukou). Thus, a high density reduces damage. The Morisita and Blackman indices indicated a distribution of damage that tended to be aggregated in Bondoukou and random in Bouna. By establishing the implication of cashew tree density in the control of A. terebrans damage, this work provides perspectives for the landscaping of cashew orchards, with a view to natural control of this pest.
Divergent Interpretations of Child Abuse in Legal Judgments: Perspectives from Clinicians and Forensic Experts
Authors: Tang Ching-Min , Lou Chen-Fang , Hsia Shao-Hsuan , Liang Kuang-Tsung , Chang Wen , Lin Jainn-Jim , Chan Oi-Wa , Lin Kuang-Lin , Lee En-Pei
Published: June 2024

Background Child abuse in Taiwan presents a critical societal issue and stresses profound adverse effects on children's welfare. Despite the complexity in detecting abuse, reports of child abuse are increasing, evidenced by a rise in cases and heightened awareness. This study utilizes judicial judgments as a lens to understand the varied interpretations of child abuse by clinical and forensic experts and explores the broader epidemiological trends of such abuse within the declining youth population of Taiwan.Methods We conducted a retrospective study by analyzing official court judgments on child abuse allegations judged from 2008 to 2022 from the online database of Judicial Yuan. Furthermore, the study analyzed demographic factors, injury patterns, and opinions from various experts.Results The results reveal that severe criminal cases of child abuse predominantly involve biological fathers as the primary offenders and physical abuse as the most common form of maltreatment. Victims are typically aged less than 5 years, which frequently leads to an unfavorable prognosis. Analysis also highlights the TEN-4-FACESp acronym as a highly predictive indicator of child abuse and underscores the prevalence of AHT. Moreover, the findings emphasize ongoing disparities in opinions between forensic medical examiners and clinical physicians, especially in AHT cases, which potentially influences judicial decisions.Conclusions In summary, the study reveals ongoing disagreements between forensic medical examiners and clinical physicians, especially in cases of AHT, which may impact judicial decisions. Clinicians appear to have a more evidence-based understanding of the clinical manifestations of AHT compared to forensic medical examiners. Promoting consensus through interdisciplinary collaboration and improved communication can aid in revealing the truth in child abuse cases.
Habitat selection and influence on foraging success in female Australian fur seals
Authors: Bartes Saia Nahir , Monk Jacquomo , Jenkins Chris , Hindell Mark A. , Costa Daniel P. , Arnould John P.Y.
Published: June 2024

Determining the factors influencing habitat selection and foraging success in top predators is crucial for understanding how these species may respond to environmental perturbations. For marine top predators, such factors have been documented in pelagic foragers, with habitat use and foraging success being linked to chlorophyll-a concentrations, sea surface temperature and light conditions. In contrast, little is known of the determinants in benthic marine predators. The Australian fur seal (Arctocephalus pusillus doriferus) has a breeding and foraging distribution largely restricted to Bass Strait, the shallow (max. depth 80 m) continental shelf region between the Australian mainland and Tasmania. The species forages almost exclusively on benthic prey and represents the greatest resident marine predator biomass in south-eastern Australia. The region is also one of the world’s fastest-warming marine areas and oceanographic changes are influencing shifts in prey distribution and abundance. In the present study, GPS-derived locations of benthic dives (n = 288,449) and dive behaviour metrics were used to determine seafloor habitat selection and factors influencing foraging success in 113 lactating adult females from Kanowna Island during the winters of 2006–2021. Individuals non-randomly selected foraging habitats comprised of deeper, steeper sloped, muddy-sandy areas with less gravel (P < 0.01). Foraging success was greatest in shallower rocky reefs (< 30 m) and deep areas (> 40 m) characterized by moderate presence of gravel (25–50%) and substantial rock composition (50–75%) on the seabed. These findings suggest that habitat use and foraging success in adult female Australian fur seals could be impacted by oceanographic changes that alter sea-floor characteristics and benthic communities.
Arthroscopic Treatment of Acromioclavicular Joint Dislocation: A Preliminary Study on Triple FengChao buttonTechnique
Authors: Zhu Wenke , Wang Yuchen
Published: June 2024

Background
Acromioclavicular (AC) joint dislocation is a prevalent shoulder injury, with a range of suture button techniques available for treatment. This study aimed to evaluate the clinical outcomes of a novel suture button technique, the FengChao button technique.
Methods
Between December 2019 and December 2021, 25 patients with AC joint dislocation were treated using the arthroscopic triple FengChao button technique. Clinical outcomes measured included UCLA and CMS scores, operative time, and the incidence of complications. Radiological assessment focused on the coracoclavicular (CC) distance.
Results
The follow-up period ranged from 6 to 19 months, with an average of 13.3 months. One patient required an open revision due to postoperative trauma. The mean operative time was 52.34 ± 13.76 minutes. The UCLA score improved significantly from a preoperative average of 19.32 ± 2.45 to 31.67 ± 2.38 at the final follow-up (P < 0.05). Similarly, the CMS score increased from 75.23 ± 2.34 preoperatively to 92.73 ± 2.96 at the final follow-up (P < 0.05). The CC distance narrowed from a preoperative measurement of 21.34 ± 1.32 mm to 9.23 ± 1.13 mm two to four days postoperatively (P < 0.05), and further to 11.93 ± 1.03 mm at the final follow-up (P < 0.05).
Conclusion
The arthroscopic triple FengChao button technique for AC joint dislocation offers satisfactory short-term functional outcomes.
Bilateral Staghorn Calculi and Urosepsis as Uncommon Presentations of Primary Hyperparathyroidism
Authors: Luna-Ceron Eder , Muthineni Venkata Abhilash , Massebo Eyoab , Kattamuri Lakshmi Prasanna Vaishnavi , Porres-Aguilar Mateo , Didia Claudia
Published: June 2024

Background
Primary hyperparathyroidism (PHPT) is a prevalent endocrine disorder characterized by excessive parathyroid hormone (PTH) secretion, traditionally associated with hypercalcemia and consequential skeletal and renal complications. While the typical manifestations of PHPT are well-documented, instances of its co-occurrence with bilateral staghorn calculi are infrequently reported.
Case presentation:
We present the case of a 64-year-old Hispanic female who presented with abdominal pain and sepsis. Subsequent investigations revealed bilateral staghorn calculi on abdominal computed tomography. Metabolic profiling demonstrated hypercalcemia (10.8 mmol/L), elevated intact PTH levels (132.3 pg/mL), normal phosphorus (2.6 mmol/L), and vitamin D levels (43.5 IU). Urinary cultures isolated extended spectrum beta-lactamase (ESBL) E. coli, and seven days of Ertapenem was administered. Suspecting PHPT, a parathyroid 14-sestamibi single photon emission computed tomography (SPECT) was performed, disclosing a 6 mm right inferior parathyroid mass indicative of a parathyroid adenoma. Initiation of Cinacalcet therapy resulted in a prompt decline in serum calcium levels within 48 hours. The patient was planned for surgical intervention involving parathyroidectomy and bilateral nephrolithotomy.
Conclusions
This case highlights the importance of comprehensive metabolic evaluation for patients presenting with bilateral staghorn calculi, emphasizes the need for a timely and tailored approach to urological and endocrinological management.
Alterations of the microenvironment of hepatocellular carcinoma in different unfolded protein response activity states
Authors: Wang Yao , Zhu Xiao Fei , Gu Wan Jian , Zhang Gui Hong
Published: June 2024

Background
The unfolded protein response (UPR) is an adaptive and cytoprotective sensing-signaling network. Numerous studies have indicated the crucial role of UPR in the anti-tumor drug resistance and the modification of tumor microenvironment (TME). The aim of this study is to analyze the alterations of microenvironment and key regulatory genes in hepatocellular carcinoma (HCC) with high UPR activity.
Methods
We profiled differentially expressed genes (DEGs) by UPR activity, and the biological functions of DEGs and the alterations of signaling pathways were explored. The Immune/Stromal scores and relative abundance of infiltrating cells of HCC tissues with RNA sequencing data downloaded from The Cancer Genome Atlas (TCGA) were calculated by the xCell and ESTIMATE algorithm. The correlations between the prognostic UPR-related genes with the microenvironment scores and infiltrating cells were analyzed using R package “corrplot”.
Results
Our results demonstrated that UPR-related genes mainly involved in immune-related signaling pathways. Microenvironment analysis revealed that HCC tissues with higher UPR activity had lower Stromal scores and the relative abundance of various infiltrating cells including hematopoietic stem cells (HSC), lymphatic endothelial cells (LECs), microvascular endothelial cells, endothelial cells (ECs) and adipocytes decreased most significantly. Kaplan-Meier survival analysis indicated that the decline of Stromal scores and corresponding infiltrating stromal cells would result in worse prognosis. The expression levels of CLEC3B, RAMP3, GPR182 and DNASE1L3 were significantly positively correlated with Stromal scores and various infiltrating stromal cells, and down-regulation of these genes were also associated with worse prognosis of HCC.
Conclusions
HCC with high UPR activity had lower Stromal scores and worse prognosis. Down-regulated genes CLEC3B, RAMP3, GPR182 and DNASE1L3 may play an important regulatory role in the modification of microenvironment of HCC with high UPR activity.
Arc Detection in Bow Networks Based on MTF-TLBKA-DarkNet-GRU-MSA and Transfer Learning
Authors: Li Bin , Shu Jiahui , Yan Lingxiao , Tian Hao
Published: June 2024

Investigating the impact of high-speed airflow on the contact pressure and arc state between the carbon slide plate of the pantograph and the contact network during high-speed train operation. By calculating the contact pressure and arc state models that are more aligned with the actual conditions, an experimental model of bow network arc considering the influence of high-speed airflow field is established. A MTF-TLBKA-DarkNet-GRU-MSA Transfer Learning fault detection model is proposed. A Markov transformation field (MTF) is applied to convert a one-dimensional contact voltage signal time series into a two-dimensional image graphically. A pre-trained DarkNet19 model is used as a starting point, and a gated recurrent unit network along with a multi-head self-attention mechanism layer are incorporated to enhance the model's recognition accuracy. For the challenging parameters in the model, such as the learning rate and the number of neurons in the gated recurrent unit network layer, an enhanced Black-winged Kite Algorithm is integrated to optimize the parameters and make the model more robust. Combining the weight sharing characteristics of the DarkNet19 model, migration learning is incorporated to enhance the convergence speed and generalization ability of the classification model. This approach is referred to as TLBKA-DarkNet-GRU-MSA Transfer Learning model is constructed. Finally, the generated 2D images are input into the proposed model for testing. At the same time, the proposed model and the other three models are tested against three groups of bow network arc models with different experimental conditions to verify that the proposed model demonstrates strong robustness and high accuracy.
Genome-Wide Identification and Expression Profiling of MYB transcription factors in Artemisia argyi
Authors: Peng Sainan , Zhang Qianwen , Yang Yun , Li Yukun , Feng Wunian , Zhao Dan , Huang Bisheng , Liu Dahui , Miao Yuhuan
Published: June 2024

Artemisia argyi is a critical medical plant in China, containing high levels of essential oils and flavone, and has been used to maintain health and well-being. MYB transcription factors are the largest gene family in plants and are widely reported to play important roles in development, metabolism, defense, and stress resistance. However, the MYB family of Artemisia argyi has not been systematically examined. In our study, we characterized 227 AYMYB transcription factors from Artemisia argyi genome data, containing 22 AY1R-MYB, 165 AYR2R3-MYB, 16 AY3R-MYB, 5 AY4R-MYB, and 19 Atypical AYMYB members. Protein molecular characteristics, prediction of subcellular localization, and chromosomal localization were accomplished using various bioinformatics tools. Collinearity analysis revealed that duplication events might greatly contribute to the MYB gene family expansion. The protein motifs, conserved domains, and gene structures of AYMYBs were identified, indicating that most AYMYB genes had similar gene distribution, which clustered in the same group that might have similar functions throughout these gene members. Cis-acting elements and GO analysis identified that AYMYBs participate in many biological processes associated with development, metabolism, defense, and stress resistance. Moreover, transcriptomic data elucidated that MYB genes were widely distributed across various tissues and development stages and highly expressed under MeJA treatment. The quantitative real-time qRT-PCR characterized the expression patterns that were aligned with the transcriptomic data, confirming the reliability of the data. Our research offers useful information for subsequent functional analysis of the MYB gene family in Artemisia argyi.
Diversity of Lycaenid Butterflies along with altitudinal gradient from Namdapha National Park, Arunachal Pradesh, India
Authors: Gogoi Renu , Upadhaya Roshan , Limbu Ruksha , Ahmed Rezina
Published: June 2024

Background
Butterflies are an important part of ecosystem that acting as a pollinator, enhance environmental beauty as well as monitor the health of the ecosystem. The diversity and abundance of butterflies along with factors such as temperature, rainfall and vegetation cover demonstrate considerable variation across altitudinal gradients.
Results
The study examined the variation in Lycaenid butterflies over an elevation range of 200 to 1000 metres in the Miao Wildlife Range of Namdapha National Park, situated in the Indian state of Arunachal Pradesh. In general, lycaenid diversity and abundance are higher in the intermediate elevations and progressively decrease as one ascends. A total of 66 species of Lycaenids were found, covering 35 genera and 6 subfamilies. Of these, 37 (56%) were found in the Polyommatinae, followed by Theclinae 21 (32%), Miletinae 3 (5%), Curetinae 2 (3%), Lycaeninae (2%) and Poritiinae (1%) covers the least number of species. Diversity of Lycaenids varies along an elevation gradient, with richness and abundance gradually decrease in higher elevation. Hence, among the four altitudinal gradients sites, Site II (intermediate elevation) had the most contribution to the total number of observed species (n = 48, 1-D = 0.97, H = 3.66), whereas Site IV (higher elevation) had the least number of species (n = 28, 1-D = 0.93, H = 3.17). On another hand, Site IV shows rich species evenness (e^H/S = 0.85) followed by Site III (e^H/S = 0.84), Site II (e^H/S = 0.81) and Site I (e^H/S = 0.75).
Conclusion
The research findings indicated that butterfly diversity showed increased variability at intermediate elevations, which gradually decreased with higher elevations, as demonstrated by diversity indices. We can conclude that elevation had an impact on the diversity and abundance of butterfly species. Furthermore, data on other abiotic/biotic factors along with adequate conservation measures should be taken to ensure better preservation of the biodiversity.
Evaluation of non-ideal fluid modeling for droplet evaporation in jet-engine-like conditions
Authors: Cavalieri Davide , Liberatori Jacopo , Blandino Matteo , Lapenna Pasquale Eudardo , Valorani Mauro , Ciottoli Pietro Paolo
Published: June 2024

Mid-century climate neutrality targets for the aviation industry foster the development of ultra-high overall pressure ratio jet engines. Consequently, comprehensive numerical models driving the design process must tackle the severe thermodynamic conditions expected to occur during the various flight operational phases. In the current study, we present a cost-effective framework for addressing droplet vaporization phenomena in jet-engine-relevant conditions, leveraging real-fluid thermophysical modeling and high-pressure vapor-liquid equilibrium interfacial thermodynamics. We evaluate the impact of a non-ideal fluid approach on predicting the evaporation process of a single n-dodecane droplet in air, mimicking operating conditions relevant to aero-engines. For the conditions examined, the numerical results indicate that adopting a real-fluid thermodynamic treatment results in a deviation of the droplet vaporization rate from an ideal-fluid approach, for which we have outlined the thermodynamic states that lead to mixture non-ideality. Notably, we envisage the most impactful model discrepancies in transport property estimation, thus affecting the heat and mass transfer rates. Lastly, we analyze and quantify the role of the detailed phase equilibrium model in the droplet evaporation process, assessing its actual impact for the conditions of interest, and discussing the cost-effectiveness in commonly computational fluid dynamics tools.
From Parisi to Boltzmann : on an abstract class of mean field spin glasses
Authors:   , Sebastiani Giulia
Published: June 2024

During my initial days here in Frankfurt, in October 2020 amidst the pandemic crisis, all my notes revolved around three articles by Bolthausen and Kistler, which now form the starting point of this work. The ones introduced by Bolthausen and Kistler are abstract mean field spin glass models, reminiscent of Derrida’s Generalized Random Energy Model (GREM), which generalize the GREM while remaining rigorously solvable through large deviations methods and within a classical Boltzmann-Gibbs formalism. This allows to establish, by means of a second moment method, the associated free energy at the thermodynamic limit as an orthodox, infinite-dimensional, Boltzmann-Gibbs variational principle. Dual Parisi formulas for the limiting free energy associated with these Hamiltonians hold, and are revealed to be the finite-dimensional (”collapsed”) versions of the classical, infinite-dimensional Boltzmann-Gibbs principles. In the 2nd chapter of this thesis, we uncover the hidden yet essential connection between real-world spin glasses, like the Sherrington-Kirkpatrick (SK) model and the random energy models. The crucial missing element is that of TAP-free energies: integrating it with the framework introduced by Bolthausen and Kistler results in a correction to the Parisi formula for the free energy, which brings it much, much closer to the ”true” Parisi solution for the SK-model. In other words, we can identify the principles that transform the classical Boltzmann-Gibbs maximization into the unorthodox (and puzzling) Parisi minimization. This arguably stands as the primary achievement of this work.
CONTROL INTERNO Y PROCESO ADMINISTRATIVO DE LA UNIDAD MATERNO INFANTIL DEL CANTÓN LOMAS DE SARGENTILLO
Authors: Lozano Peñafiel Cinthia Leonela , Ponce Álvarez Cruz Verónica
Published: June 2024

El control interno es considerado como una herramienta indispensable en el proceso administrativo que desarrollan las empresas público-privadas, sin embargo, se presentan problemas bajo su responsabilidad, atención y manejo de recursos, es por ello que la ad debe ser controlado periódicamente, además de promover la eficiencia y reducir el riesgo de pérdida de activos. En consecuencia, el objetivo de este estudio es analizar la importancia del control interno en el proceso administrativo de la Unidad de Salud Materno Infantil del Cantón Lomas de Sargentillo. Para ello se aplicó una metodología no experimental y mixta, acompañada de métodos analíticos y sintéticos que contribuyeron a la interpretación de los resultados. La población de estudio correspondió al personal de la institución, por lo que se aplicó un tipo de muestreo no probabilístico simple o aleatorio, considerando como población a 18 funcionarios de la institución.
HERRAMIENTAS DIGITALES Y LA CULTURA TRIBUTARIA EN LA DIRECCIÓN DE EMPRENDIMIENTO DE LA UNIVERSIDAD ESTATAL DEL SUR DE MANABÍ
Authors: Santander Delgado Dania Geanella , Proaño Ponce William Patricio
Published: June 2024

La investigación tuvo como objetivo analizar las herramientas digitales como determinante que contribuyan en la cultura tributaria los emprendedores de la Dirección de Emprendimiento de la Universidad Estatal del Sur de Manabí. Se utilizó una metodología mixta, combinando enfoques cualitativos y cuantitativos, a través de encuestas y la entrevista. Los resultados mostraron que un 24,1% de los encuestados está totalmente de acuerdo en tener conocimientos básicos de tributación, mientras que un 54% se mantiene neutral. Respecto al conocimiento de permisos y registros tributarios, un 32,1% está en desacuerdo. En cuanto a la actualización con normativas tributarias, un 40,2% prefiere webinars y seminarios virtuales, y solo un 2,3% utiliza capacitaciones del SRI. Los principales desafíos al usar herramientas digitales incluyen brechas digitales (31%), reformas tributarias (25,2%), y falta de educación (22,9%). Se concluye, la necesidad urgente de desarrollar estrategias integrales, implementar programas de capacitación y colaborar con entidades externas para mejorar la cultura tributaria y el uso de herramientas digitales entre los emprendedores.Palabras clave: Emprendedores, tributación, tecnología, capacitación.
Exploring the evolution and trends of innovative entrepreneurship: a bibliometric analysis
Authors: Cano-Vargas Alvaro Alexander , Osorio-Toro Carlos Andrés
Published: June 2024

Innovative entrepreneurship is highly significant for fostering new opportunities that add value to businesses and society; it is a field of study that necessitates regular monitoring of the state of the art. This paper aims to conduct a bibliometric analysis of innovative entrepreneurship to identify its intellectual structure and research trends, sourcing literature from Scopus and Web of Science (WoS) to conduct a bibliometric analysis. Researchers applied the Tree of Science (ToS) algorithm to discern an intellectual structure by drawing an analogy with roots, trunk, and branches, retrieving 1654 documents from Scopus and 680 from WoS, amounting to 1 795 non-duplicate documents; they observed a growing trend in scientific production, complemented by findings regarding countries, journals, authors, and their collaboration networks. Three significant trends emerged in the analysis using ToS: 1) Strategic Entrepreneurship, Digital Transformation, and Higher Education; 2) Technology as a Keystone in Entrepreneurial Innovation Ecosystems; and 3) Public Policy and Innovation Dynamics in Entrepreneurial Development. Researchers concluded that innovative entrepreneurship remains an inexhaustible field requiring further research development.
Prospects for the Protective Mechanisms and Compounds of Bufei Huoxue Capsule against COVID-19 Convalescence: Evaluation of Integrating
UHPLC-HRMS Analysis and Network Pharmacology Strategy
Authors: Xie Yizi , Xie Yi , Liu Cheng-Xin , Peng Chen-Wen , Lin Xue-Ying , Huang Hui-Ting , Zhan Shao-Feng , Liu Xiao-Hong , Li Hang , Huang Xiu-Fang
Published: June 2024

Introduction:

Most COVID-19 survivors are troubled with chronic persistent symptoms,
which have currently no definitive treatments. Bufei Huoxue (BFHX) capsule exerts clinical
benefit, while the material basis and molecular mechanism remain unclear.

Aim:

The study aimed to elucidate the protective mechanisms of BFHX capsules against
COVID-19 convalescence. UHPLC-HRMS and various databases were employed to explore
potential compounds and targets. PPI, MCODE, transcription factor (TF), and miRNA analyses
were conducted to receive hub targets and corresponding upstream regulators.

Method:

Molecular docking was applied to verify the binding activity of compound and target.
Further, GO, KEGG, WIKI, and Reactome analyses were performed, and compound-targetsymptom
and gene-disease networks were constructed. A total of 127 compounds and 313 targets
were acquired. A sum of 10 hub targets were screened and showed good binding affinities
with critical compounds.

Result:

MLLT1, CBFB, and EZH2 were identified as key TFs, and hsa-mir-146a-5p, hsa-mir-
26b-5p, and hsa-mir-24-3p were predicted to be important miRNAs. BFHX capsule may alleviate
the symptoms by targeting TNF, IL-6, IFNG, and TGF-β1. Besides, BFHX capsule may exert
a therapeutic effect on respiratory disease (especially pulmonary fibrosis and lung infection)
and multi-system damage during COVID-19 convalescence by regulating cytokine-cytokine receptor
interaction, as well as TGF-β, TNF, and Toll-like receptor signaling pathways.

Conclusion:

In summary, BFHX capsule may exert a therapeutic effect on multi-system damages
during COVID-19 convalescence through multiple compounds (such as albiflorin, isopsoralen,
and neobavaisoflavone), multiple targets (such as TNF, IL-6, and EGF) and multiple
pathways (TGF-β, TNF, and Toll-like receptor signaling pathways).
Machine Learning in Enhancing Protein Binding Sites Predictions -
What Has Changed Since Then?
Authors: Ibitoye Oluwayimika E. , Soliman Mahmoud
Published: June 2024

Accurate identification of protein binding sites is pivotal for understanding molecular
interactions and facilitating drug discovery efforts. However, the dynamic nature of proteinligand
interactions presents a formidable challenge, necessitating innovative approaches to
bridge the gap between theoretical predictions and experimental realities. This review explores
the challenges and recent advancements in protein binding site prediction. Specifically, we highlight
the integration of molecular dynamics simulations, machine learning, and deep learning
techniques to capture the dynamic and complex nature of protein-ligand interactions. Additionally,
we discuss the importance of integrating experimental data, such as structural information
and biochemical assays, to enhance prediction accuracy and reliability. By navigating the intersection
of classical and the onset of machine learning and deep learning approaches, we aim to
provide insights into current state-of-the-art techniques and chart a course for future protein
binding site prediction advancements. Ultimately, these efforts could unravel the mysteries of
protein-ligand interactions and accelerate drug discovery endeavors.
From Green Synthesis to Diverse Applications: Exploring the Environmentally Viable Potential of Silver Nanocomposites with Biodegradable Polymers
Authors: Sadeghi Babak , Sharifian Parastoo , Ghanami Mahsa
Published: June 2024

In the realm of environmentally conscious materials science, the integration of silver
nanoparticles (AgNPs) with biodegradable polymers to form innovative nanocomposites has
sparked notable discourse and research. This review delves comprehensively into the synthesis,
properties, and environmental implications of said AgNPs/biodegradable polymer nanocomposites.
Leveraging the unique physicochemical attributes of silver nanoparticles, these nanocomposites
are portrayed as promising platforms for delivery, sensing, and antimicrobial applications.
The nanocomposites made of AgNPs with biodegradable polymers, however, extend beyond
utility, demonstrating a commitment to minimizing ecological impact. Contrary to traditional
non-degradable polymers that litter our environments and oceans, these green alternatives
yield lesser waste, reduce energy use, and limit the emission of volatile organic compounds,
thereby aligning with global efforts towards sustainability. Our review strives to substantiate
the environmental viability of these nanocomposites, whilst elaborating on their diverse
commercial potential.