bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sleep disorders, electronic device use, and family support: looking for a link in type 1 diabetic adolescents regarding their glycemic control
Authors: Tafti Mahdi Falah , Talebian Niki , Shokri Pourya , Shabani-Derakhshan Soolmaz , Hadeiy Seyed Kaveh , Jafari Alimohamad , Pirdehghan Azar , Razavi Zahra 
Published: September 2024

Abstract

Background
Sleep is a key element in adolescent health and affects glycemic control in diabetic patients. Electronic device use and family support are contributing factors to sleep characteristics and glycemic management in type 1 diabetes (T1D) patients. This study aims to evaluate the influence of electronic device use and family support on sleep disorders and identify possible effects on glycemic control in T1D adolescents.
Methods
This cross-sectional study was conducted on T1D adolescents who attended the diabetes clinic at Besat Hospital, Hamadan, Iran, from February 2021 to February 2022. Valid Persian versions of the Pittsburgh Sleep Quality Index (PSQI) and Perceived Social Support from Family (PSS-Fa) questionnaires were employed to measure sleep quality and family support. A valid self-report questionnaire was used to obtain data on time spent on screen-based sedentary behaviors, including TV, video games, and the Internet. The demographic characteristics and hemoglobin A1C (HbA1c) and fasting blood sugar levels of the patients were obtained during the follow-up sessions. Statistical analysis was performed using SPSS 21. Kruskal-Wallis and Dunn’s tests were applied to compare different sleep disorder groups in terms of quantitative variables. Spearman’s correlation test examined the association of PSS-Fa scores and quantitative variables.
Results
We recruited 171 patients with a mean age of 12.48 ± 1.75 years. Nine patients (5.3%) had no/mild sleep disorders, 75 (43.9%) had moderate sleep disorders, and 87 (50.9%) had severe sleep disorders. No association was found between sleep disorders and HbA1c (P = 0.476). among electronic devices, only watching TV was associated with sleep disorders (P = 0.023). PSS-Fa scores were significantly lower in adolescents with severe sleep disorders compared with no/mild (P = 0.026) and moderate (P = 0.029) sleep disorder groups. PSS-Fa scores were positively correlated with the number of annual visits (P = 0.033; r = 0.164) and negatively correlated with the time since diabetes diagnosis (P = 0.003; r = -0.229) and the HbA1c level (P < 0.001; r = -0.271).
Conclusions
A supportive family can contribute not only to better sleep outcomes but also to more desirable glycemic management in T1D adolescents. Digital devices might deteriorate sleep quality but the pattern of this effect needs further investigation.
The impact of long-acting GnRHa pretreatment on the clinical pregnancy outcomes of hormone replacement therapy-frozen embryo transfer in RIF patients with PCOS: a retrospective clinical study
Authors: Huang Chenyang , Yan Yuan , Mei Jie , Jiang Yue , Sun Haixiang , Xing Jun 
Published: September 2024

Abstract

Background
Several studies have demonstrated that pre-treatment with long-acting Gonadotropin-Releasing Hormone agonists (GnRHa) can significantly enhance the clinical pregnancy rate among recurrent implantation failure (RIF) patients. Investigations have also suggested that GnRHa pre-treatment could ameliorate the clinical pregnancy and live birth rates in polycystic ovary syndrome (PCOS) patients. But there is a dearth of research on whether long-acting GnRHa pre-treatment yields superior clinical outcomes for RIF patients with PCOS.
Methods
The retrospective study enrolled 1602 patients under the age of 40 meeting the criteria for RIF at the Reproductive Medicine Center of Nanjing Drum Tower Hospital, who underwent frozen-thawed embryo transfer (FET) between January 2017 and December 2021. Univariate analysis and a multivariate logistic regression model were employed to assess the impact of GnRHa pretreatment on the clinical pregnancy rate in RIF patients. The influence of long-acting GnRHa pretreatment on clinical pregnancy outcomes was re-examined in PCOS and non-PCOS subgroups. Additionally, an interaction analysis was performed to evaluate the effect of PCOS on the relationship between long-acting GnRHa pretreatment and the clinical pregnancy rate.
Results
Multiple regression analysis showed that long-acting GnRHa pretreatment had a positive impact on the clinical pregnancy rate. We divided the RIF population into two subgroups, for PCOS patients, although the clinical pregnancy rate was higher in women who received GnRHa pretreatment compared to those who did not, it was not statistically significant. Interaction analysis suggested that for PCOS patients, there was no significant difference in the clinical pregnancy rate between women who received GnRHa pretreatment and those who did not, indicating that the effect of GnRHa pretreatment on the clinical pregnancy rate was not influenced by PCOS.
Conclusions
Our study demonstrates that long-acting GnRHa pretreatment can enhance clinical pregnancy outcomes in patients with RIF. Among RIF patients without PCOS, the clinical pregnancy rate exhibited a significant increase following GnRHa pretreatment compared to the control group. However, in RIF patients with concurrent PCOS, although there was no significant elevation in the clinical pregnancy rate post-GnRHa pretreatment. Additionally, the influence of GnRHa pretreatment on the clinical pregnancy rate was found not to be affected by the presence of PCOS.
Prospective Cohort Study of Fentanyl Test Strip Use and Distribution in Three States: The Stay Safe Study Protocol and Implementation Recommendations for Researchers
Authors: Childerhose Janet E. , Babineau Denise C. , Caspar Rachel , David James L. , Dzurec Megan E. , El-Bassel Nabila , Fanucchi Laura C. , Gilbert Louisa , Hall Megan E. , Harris Mallory , Linas Beth S. , Marks Katherine E. , Oga Emmanuel , Russo Mary , Vickers-Smith Rachel , Konstan Michael , Fallin-Bennett Amanda , Jackson Rebecca D. , Chandler Redonna K. , Gelberg Kitty , Walsh Sharon L. , Fernandez Soledad , Freisthler Bridget , Lancaster Kathryn E. , Roeber Carter , Villani Jennifer 
Published: September 2024

Abstract

Background
The Stay Safe Study is the first observational prospective cohort study investigating fentanyl test strip (FTS) use by people who use drugs (PWUD) and distribution by harm reduction organizations in three states (Kentucky, New York, and Ohio). The purpose of this paper is to describe the study design, along with implementation success and challenges. A related goal is to provide recommendations and encourage researchers to undertake multi-state and multilevel studies of FTS use and distribution.
Methods
The protocol has one primary, five secondary, and three exploratory objectives. From May-December 2023, the study collected survey, interview, and oral fluid drug test (ODT) data with the primary population of PWUD attending community harm reduction organizations that distribute FTS. We collected survey and interview data with a secondary population of community harm reduction organizations that have a distribution relationship to FTS. There was no intervention and the study did not distribute FTS.
Results
The full study sample was 732 PWUD participants (97.6% of the target) from 1,156 enrolled PWUD participants. Enrolled PWUD participants completed a baseline assessment and at least two of four weekly survey assessments. A subset of participants completed a one-time ODT (n=269) and one-on-one semi-structured interviews (n=120). From the secondary population of 36 harm reduction organizations, employees of 28 organizations (78%) in 22 counties across 3 states completed a web-based survey and employees of 24 organizations (66.7%) completed an interview. Study findings will be presented in subsequent publications.
Conclusion
The study team successfully enrolled a large sample of PWUD and organizational participants in three states, followed a cohort of PWUD participants and generated rich data using three types of instruments. Factors contributing to implementation success include drawing on the community expertise of the parent HEALing Communities Study, selecting incentive amounts that acknowledged the time and expertise of PWUD participants, centralizing survey data collection, and tracking implementation challenges and solutions. Areas of implementation complexity included conducting research on site at community harm reduction organizations, facilitating timely incentive payments, overseeing study staff, and returning ODT results to PWUD participants.
Baseline drug treatments and long-term outcomes in COVID- 19-hospitalized patients: results of the 2020 AUTCOV study
Authors: Graf Alexandra Christine , Reichardt Berthold , Wagenlechner Christine , Krotka Pavla , Traxler-Weidenauer Denise , Mildner Michael , Mascherbauer Julia , Aigner Clemens , Auer Johann , Wendt Ralph , Ankersmit Hendrik Jan 
Published: September 2024

Abstract

Limited data are available on long-term morbidity and mortality after COVID-19 hospitalization. In this population-based study, we investigated the long-term mortality and morbidity after COVID-19 hospitalization and associations with baseline drug treatments. Data were provided on hospitalized COVID-19 patients in 2020 and matched controls by the Austrian Health Insurance Funds. The primary outcome was all-cause mortality. Secondary outcomes were all-cause mortality conditional on COVID-hospital survival and re-hospitalization due to any reason. The median follow-up was 600 days. 22 571 patients aged > 18 years were hospitalized in Austria in 2020 due to COVID-19. The risk of all-cause mortality was significantly higher with polypharmacy. With the exception of the youngest age group (19–40 years), antiepileptics, antipsychotics and the medicament group of iron supplements, erythropoietic stimulating agents, Vitamin B12, and folic acid were significantly associated with a higher risk of death (all p < 0,001). For Non-steroidal anti-inflammatory drugs and other anti-inflammatory drugs, significantly increased survival was observed (all p < 0,001). Patients had a higher drug prescription load than the control population. Long-term mortality and the risk of re-hospitalization due to any reason were also significantly greater in the patients. Antipsychotics are assumed to be an underrecognized medication group linked to worse outcomes after COVID-19 hospitalization.
An Automatic Constructed Subway Construction Safety Risks Transmission Networks: A Pipeline Model Based on Named Entity Recognition and Relation Extraction
Authors: Xu Na , Liang Yanxiang , Chang Hong , Qian Shan , Liu Yao 
Published: September 2024

Abstract

Safety risk management is a critical part during the subway construction. However, conventional methods for risk identification heavily rely on experience from experts and fail to effectively identify the coupled relationship between risk factors and events embedded in accident texts. Consequently, they are unable to provide substantial guidance for subway safety risk management. The research developed a domain entity recognition model for subway construction safety risks based on Bidirectional Long Short-Term Memory Networks with Conditional Random Fields (BiLSTM-CRF) and a domain entity causal relation extraction model based on Convolutional Neural Networks (CNN), with a dataset consisting of 562 instances of subway construction accidents. Constructed models achieved automatically extract safety risk factors, safety events, and their causal relationships from subway accident texts. The results demonstrated that the precision, recall, and F1 scores of MCSR-NER-Model all exceeding 77%. Its performance in the specialized domain named entity recognition with a limited volume of textual data is satisfactory. The MCSR-CE-Model achieved an impressive accuracy, recall, and F1 score of 98.96%, exhibiting excellent performance. Moreover, the extracted entities are normalized and a domain dictionary was developed. Based on the processed entities and relationships processed by the domain dictionary, 533 domain entity causal relation triplets are obtained, facilitating the establishment of a directed and unweighted complex network for subway construction safety risks and a case database. This research successfully converted subway construction accident texts into a causal chain structure of "safety risk factors to risk events," providing detailed categorization of safety risks and events. Concurrently, it revealed the interrelationships and historical statistical patterns among various safety risk factors and categories of risk events through the complex safety risk network. The establishment of the database furnishes project management personnel with effective response measures for historical risk events.
Long Short-Term Memory Networks for Predicting Resilient Modulus of Stabilized Base Material Subject to Wet-Dry Cycles
Authors: Al‑Zubi Mohammad A. , Ahmad Mahmood , Abdullah Shahriar , Khan Beenish Jehan , Qamar Wajeeha , Abdullah Gamil M. S. , González-Lezcano Roberto Alonso , Paul Sonjoy 
Published: September 2024

Abstract

The resilient modulus (MR) of different pavement materials is one of the most important input parameters for the mechanistic-empirical pavement design approach. The dynamic triaxial test is the most often used method for evaluating the MR, although it is expensive, time-consuming, and requires specialized lab facilities. The purpose of this study is to establish a new model based on Long Short-Term Memory (LSTM) networks for predicting the MR of stabilized base materials with various additives during wet-dry cycles (WDC). A laboratory dataset of 704 records has been used using input parameters, including WDC, ratio of calcium oxide to silica, alumina, and ferric oxide compound, Maximum dry density to the optimal moisture content ratio (DMR), deviator stress (σd), and confining stress (σ3). The results demonstrate that the LSTM technique is very accurate, with coefficients of determination of 0.978 and 0.966 for the training and testing datasets, respectively. The LSTM model outperforms other developed models, such as support vector regression and least squares approaches, in the literature. A sensitivity analysis study has determined that the DMR parameter is the most significant factor, while the σd parameter is the least significant factor in predicting the MR of the stabilized base material under WDC. Furthermore, the SHapley Additive exPlanations approach is employed to elucidate the optimal model and examine the impact of its features on the final result.
Cardiovascular Effects of Growth Hormone: Preliminary Study on Oxidative Stress in Adults with Growth Hormone Deficiency
Authors: Kościuszko Maria , Buczyńska Angelika , Wiatr Aleksandra , Jankowska Dorota , Adamska Agnieszka , Siewko Katarzyna , Zaniuk Marcin , Krętowski Adam Jacek , Popławska-Kita Anna 
Published: September 2024

Abstract

Adult growth hormone deficiency (AO-GHD) is associated with increased mortality due to a higher risk of cardiovascular complications. Oxidative stress (OS) diminishes antioxidant capacity, leading to endothelial dysfunction and promoting thrombotic and inflammatory mechanisms. This increases the risk of cardiovascular diseases and metabolic disorders. Imbalances in the synthesis or signaling of endothelin-1 (ET-1) and nitric oxide (NO) are linked to hypertension, atherosclerosis, and heart failure. Additionally, elevated levels of asymmetric dimethylarginine (ADMA), an inhibitor of nitric oxide synthase, contribute to vascular endothelial dysfunction, increased vascular tension, higher blood pressure, and the activation of pro-atherogenic mechanisms. This preliminary study aims to investigate the cardiovascular effects of recombinant human growth hormone (rhGH) therapy in AO-GHD. The findings of this research suggest a potential association between rhGH replacement therapy in AO-GHD patients and a reduction in cardiovascular risk through its impact on ET-1, NO, ADMA concentrations, and OS status markers. These results have the potential to inform the optimization of rhGH replacement therapy protocols, thereby exerting a broader influence on the cardiovascular well-being of individuals undergoing such interventions.
Safety and Efficacy of Mini-percutaneous Nephrolithotomy in Management of Renal Stones in Pediatric Age Group
Authors: Mahmood Sarwar Noori , Said Shakhawan , Mohammed Rawa O. , Jaafar Mzhda Sahib 
Published: September 2024

Abstract

Background
Kidney stones frequently observed in children and teens over the past 20 years.
Objectives
To evaluate the safety and efficacy of mini-percutaneous nephrolithotomy (MPCNL) in managing renal stones in pediatric patients. Patients and
methods
This retrospective case series study included 115 consecutive patients aged < 11 years old who underwent MPCNL at Sulaimani Teaching Hospital and Mercy Medical City, Sulaimaniyah, Iraq, from January 2016 to March 2021. MPCNL was done on all patients through 16–20 Fourteen French (Fr) tracts. The stone-free rate, perioperative complications, tract number, operative time, postoperative hemoglobin change, and hospitalization time were assessed.
Results
The mean patients’ age was 6.53 ± 1.3 years, and the mean stone burden was 2.073 ± 1.03 cm. After a single session of MPCNL, 93.25 ± 0.34 of patients attained a complete stone clearance through a single tract in 109 patients (94%) and two tracts in 6 patients (5.2%). Hospitalization time, operative time, postoperative hemoglobin drop, and perioperative complications were 2.23 ± 0.93 days, 39.26 ± 8.22 minutes, 0.51 ± 0.34 g/dL, and 25.21%, respectively. No major complications (Clavien grade III and IV) were found. Most complications were minor, including Clavien grade I (n = 18, 15.6%) and II (n = 11, 9.56%), which were managed conservatively.
Conclusions
MPCNL is an effective and potentially safe procedure for treating complex renal stones in pediatric patients aged < 11 years, yielding an excellent stone-free rate and acceptable complications.
Multi-Step Prediction of Greenhouse Temperature and Humidity Based on Temporal Position Attention LSTM
Authors: guo zihao , Feng Lei 
Published: September 2024

Abstract

Changes in the indoor environment of greenhouses significantly impact crop production. These microclimate changes, influenced by various environmental factors, can cause fluctuations in crop yield and quality. Accurate prediction of changes in these environmental factors is essential to preventing adverse impacts. However, greenhouse interiors are multivariable coupled systems with nonlinear, hysteretic and oscillatory behavior, posing challenges for short-term predictions. Addressing this, this study proposes a novel short-term multi-step prediction model for greenhouse microclimate using Temporal Position Attention Long Short-Term Memory (TPA-LSTM) based on position encoding and time sequence. The model uses true past environmental data, including indoor and outdoor air temperature and humidity, sunlight intensity and atmospheric pressure, employing a sliding window strategy with different lengths (30 min, 1 h, 2 h, 4 h) to predict future climate changes accurately in air temperature and humidity from 30 min to 240 min. Compared with the well-known models RNN, LSTM, and GRU, the proposed model achieves higher credibility and lower errors. In the single step prediction, the model with a 2 h sliding window yielded the best results: R2 of 0.992 and RMSE of 0.715°C for air temperature, R2 of 0.983 and RMSE of 2.775% for air humidity. For multi-step predictions of 2, 4, and 8 steps, the model achieved better results than other well-known models. The results demonstrate this model has superior short-term prediction ability for greenhouse microclimate, which significantly reducing prediction errors, enhancing environmental monitoring and early warning, and promoting intelligent greenhouse development and facility agriculture.
Horizontal Bone Augmentation with Simultaneous Implant Placement Using Ridge Splitting with Sticky Bone Versus Onlay Sticky Bone Graft
Authors: Bolot Mohammad YA. , Ghoraba Sahar M. , Badr Ahmed M. 
Published: September 2024

Abstract

Introduction: A variety of bone grafting techniques had been used to augment horizontally deficient alveolar bone ridges to provide a sufficient bone volume to achieve a correct prosthetic 3-dimensional placement of dental implants.
Objectives: to evaluate clinically and radiographically by cone beam computed tomography (CBCT) the amount of horizontal bone gain between two different augmentation techniques for horizontal ridge deficiency with simultaneous implant placement; using piezo-assisted ridge splitting technique with sticky bone graft versus Onlay sticky bone graft in patients who had bilateral posterior edentulous sites in the maxillary ridge.
Materials and methods: Seven patients including a total of 14 sites; 7 sites for each treatment modality. Each patient had bilateral posterior maxillary edentulous areas with horizontal ridge deficiency ranging from 3-5 mm. The augmentation sites were randomly divided into two groups; Piezo-assisted ridge splitting technique with simultaneous implant placement and Onlay sticky bone graft with simultaneous implant placement. Patients were evaluated for clinical parameters, including ridge width using a bone calliper, radiographic assessment of marginal bone width and alveolar bone density using CBCT, clinical attachment loss, plaque index, bleeding on probing and pocket depth. Results were obtained at surgery time, 6 months post-surgery, and 18 months post-surgery.
Results: there was a statistically significant increase in bone width in both groups, Also, bone density was slightly increased at implant and grafting sites at 6- and 18-months follow-ups. Furthermore, both groups showed a statistically significant increase in bone width measured by bone calliper at baseline and at 6 months post-surgically. There was no statistical difference between the two groups' bone gain measurements. No significant changes were observed in PI, BOP, or CAL.
Conclusion: Both surgical techniques provided promising clinical and radiographic outcomes with no statistically significant differences among them.
Faune associated with two giant ants in northern Brazil: Dinoponera gigantea (Perty, 1833) (Ponerinae) and Paraponera clavata (Fabricius, 1775) (Paraponerinae)
Authors: Cruz Anny Kelly Castanhede Fernades , Cruz Charles Darwin Ferreira , Mariano Cléa S.F. , Delabie Jacques H.C. , Castaño-Meneses Gabriela 
Published: September 2024

Abstract

The ant nests are inhabiting by great diversity of organisms. There is few information about the nests of giant ants and their associated fauna. We study the fauna in the nests of Dinoponera gigantea (Ponerinae) and Paraponera clavata (Paraponerinae) in two localities of the state of Maranhão, Brazil. A total of 15 nests were reviewed to D. gigantea and 10 to P. clavata, recorded their associated fauna and number of chambers in each one. The total abundance of organisms recorded in nests of both species were 1833, belonging to 43 families and 30 genera/species. In the nests of D. gigantea nests were recorded 571 organisms (average ± SD = 2.48 ± 4.5 individuals by nest) while to P. clavata nests were 1,262 (2.96 ± 8.5 individuals by nest). The maximum number of chambers recorder in D. gigantea were seven, while in P. clavata were recorded 24 chambers. Insecta represent 46% of the total, Arachnida 38%, Entognatha 14%, and groups as Chilopoda, Clitellata, Diplopoda, Gastropoda and Squamata represented less than 1%. There groups as Squamata were found only in P. clavate nests. The diversity of mites and springtails was high in both species but show differences in composition. The nests or these giant ants area a very important to conservation of diversity of mani groups of myrmecophiles but also to soil fauna.