bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing Motivation for Treatment in Eating Disorders: Psychometric Validation of the Italian Version of the Autonomous and Controlled Motivation for Treatment Questionnaire (ACMTQ-ITA)
Authors: Tempia Valenta Silvia , Rapezzi Matilde , Marcolini Federica , Speciani Maurizio , Giordani Gabriele , De Ronchi Diana , Atti Anna Rita 
Published: August 2023

Abstract
Purpose.
Treatment resistance is a significant challenge in addressing eating disorders (EDs). The Autonomous and Controlled Motivation for Treatment Questionnaire (ACMTQ) has been previously validated in ED populations to assess patients' motivation for treatment. The objective of this study was to validate the ACMTQ in the Italian language (ACMTQ-ITA) and evaluate its psychometric properties.
Methods.
A clinical sample comprising 81 adults (aged 18–65 years) diagnosed with EDs, possessing a good understanding of the Italian language, and providing written informed consent, was recruited. Individuals with psychiatric comorbidities such as schizophrenia, substance use disorder, and bipolar disorder were excluded. Construct validity and internal consistency of the ACMTQ-ITA were assessed using the Kaiser-Meyer-Olkin (KMO) test, Bartlett's test of sphericity, Exploratory Factor Analyses (EFA), reliability analysis with Cronbach's α estimates, and Confirmatory Factor Analysis (CFA).
Results.
EFA confirmed the existence of a two-factor structure akin to the original validation, comprising Autonomous Motivation (Factor 1; α = 0.81) and Controlled Motivation (Factor 2; α = 0.79). The internal consistency of the ACMTQ-ITA overall score was found to be satisfactory (α = 0.79) through reliability analysis. Furthermore, CFA demonstrated an acceptable fit to our hypothesized model (comparative fit index = 0.90, root mean square error of approximation = 0.09, standardized root mean square residual = 0.10).
Conclusion.
The ACMTQ-ITA emerged as a valid and reliable tool for measuring motivation for treatment in individuals with EDs. Its implementation may facilitate the comprehension of treatment motivation, offering valuable clinical insights and implications for health management practices.
The impact of biologic treatment in psoriasis patients on COVID-19 infection: A single-center retrospective study
Authors: Gu Zheng , Zhang Xiaoyan , Li Zongyang , Wang Huijing 
Published: August 2023

Abstract
Previous studies of whether biologics place psoriasis patients at more severe SARS-CoV-2 infection risk and disease course remains unclear.This single-center retrospective clinical study included patients with psoriasis from December 2022 to April 2023 to compare the rate of COVID-19 infection, duration, and risk of hospitalization and death in patients treated with to without biologics,and to compare the effect of COVID-19 on the course of psoriasis. General information, underlying diseases, disease information of psoriasis and covid-19 infection were recorded. SPSS 28.0 was used for statistical analysis of the data. Among the 260 included patients with psoriasis, 73.85% were treated with biologics. 67.31% of patients were infected with COVID-19.The mean duration of symptoms was 7.57±4.75 days. No patients were counted as requiring oxygenation or hospitalization for SARS-CoV-2 infection. No deaths were recorded during the observation period.The amount of patients with fever was lower in patients treated with biologics(81.20%) compared to those without one(97.62%). Differences in the distribution of other COVID-19-specific signs and symptoms were not statistically significant(P＜0.05). Binary logistic regression suggested that increased prevalence was not associated with the use of biologics after adjustment for potential confounders (OR=0.672,P=0.198). 38.86% of patients had exacerbation of psoriatic lesions after infection with SARS-CoV-2, with a statistically significant difference between those with and without biologics. Exacerbation was more common in the form of a new rash. The finding suggests biologics in patients with psoriasis does not increase the risk of SARS-CoV-2 infection or worsen the course of COVID-19. In terms of exacerbation of psoriatic lesions by SARS-CoV-2 infections, the number of worsening disease courses treated with biologics was lower compared to conventional treatments.
pulmonary blastoma with good prognosis: a case report and review of the literature
Authors: LIU RU , Li Fengchao , Wang Lulu , Lv Feng , Yin Qianqian , Liu Guangzhen , Chen Wen 
Published: August 2023

Abstract

Background:Pulmonary blastoma (PB) is a rare, highly malignant tumor prone to distant metastasis and recurrence, and the prognosis of patients is often poor. Here, we reported a case of metastatic PB with good prognosis, to provide data support for clinical diagnosis and treatment.Methods and results:In December 2015, a 43-year-old male patient was admitted to our hospital.PET-CT showed massive high-density imaging in the lower lobe of the right lung, with a maximum cross-section of about 76mm×58mm, and increased FDG metabolism development (SUVmax: 13.8g/mL). After completing the relevant examination, thoracoscopic assisted right lower lobectomy with lymph node dissection was performed. The postoperative pathological diagnosis was PB, and epithelial components and mesenchymal differentiation components were both observed in tumor tissues. One month after surgery, chest CT revealed a right pleural effusion and multiple nodules in the left lung, which suggested a high possibility of metastasis. Then the patient received docetaxel and cisplatin chemotherapy for a total of 6 courses. After chemotherapy, CT showed significant absorption of pleural effusion, and the left lobe pulmonary nodule was not detected. The patients were followed up closely within 7 years after surgery. Up to now, no signs of recurrence or distant metastasis have been found.Conclusion:We report an unusual case of metastaticPB that showed a significant therapeutic response to docetaxel and cisplatin. Surgical resection and postoperative chemotherapy may be the preferred treatment.
Effect of H3BO3 modification on the char yield of epoxy resin and pore structure and property of epoxy resin carbon foams
Authors: YANG Ping Jun , LI Tie Hu , LI Hao , DANG A Lei 
Published: August 2023

Abstract
H3BO3 promotes the removing oxygen-containing functional groups of epoxy resin (EP) and forms B-O-C bond with EP. The char yield of EP increases first and then decreases with H3BO3 content increasing, which is 33.4 wt% and 19 wt% for 9 wt% H3BO3 modified EP and EP. The graphitization degree (g) and grain stacking thickness (Lc) of EP carbon foam (CF) first decrease and then increase with H3BO3 increase. The graphitization degree (g) of 3, 6, 9 and 12 wt% H3BO3 modified EP CF are 11.6, 0, 0, and 23.2%. The ID/IG value of 0, 3, 6, 9, 12 wt% H3BO3 modified EP CF are 0.97, 1.05, 1, 1.1, and 0.89. For low H3BO3 content (0, 3 wt%), the small bubbles combined easily, and led to bigger bubble size. When the H3BO3 content was high (above 6 wt%), the combination of small bubbles becomes more difficult, and decreases cell size. The cell sizes of 0, 6, 12 wt% H3BO3 modified EP CF are 620 µm, 440 µm, 760 µm, respectively. When the H3BO3 varies from 0 and 3 wt%, the electrical conductivity of modified EP CF increased from 15.56 to 25.94 S/m. The compressive strength of the H3BO3 modified EP CF gradually decreased with increase of H3BO3 from 0 to 12 wt%, which can be influenced by its density. The compressive strength of 12 wt% H3BO3 modified EP CF is only 0.6 Mpa, which is much lower than the EP CF (3.32 MPa).
Numerical Inference on the Generalized Weibull
Model Parameters Using Picard’s Method
Authors: Maswadah M. 
Published: August 2023

Abstract

In this study, numerical analysis has been used to introduce an optimal estimation method, Picard’s method, which outperforms the Bayes’ method. To clarify that, the point estimates for the generalized Weibull model parameters were derived using this method and compared with the Bayes’ method based on the informative gamma prior, kernel prior and characteristic prior, via Monte Carlo simulation based on the generalized progressive hybrid censoring scheme. The simulation results indicated that Picard’s method is highly efficient and outperforms the Bayes’ method. Finally, two real datasets were studied to ensure Picard’s method can be used more effectively than the most popular estimation methods in fitting and analyzing real-life data.
The classical Heisenberg model on the centred pyrochlore lattice
Authors: Nutakki Rajah P. , Jaubert Ludovic D. C. , Pollet Lode 
Published: August 2023

The centred pyrochlore lattice is a novel geometrically frustrated lattice, realized in the metal-organic framework Mn(ta)_22 [Phys. Rev. Research 5, L022018 (2023)] where the basic unit of spins is a five site centred tetrahedron. Here, we present an in-depth theoretical study of the J_1-J_2J1−J2 classical Heisenberg model on this lattice, using a combination of mean-field analytical methods and Monte Carlo simulations. We find a rich phase diagram with low temperature states exhibiting ferrimagnetic order, partial ordering, and a highly degenerate spin liquid with distinct regimes of low temperature correlations. We discuss in detail how the regime displaying broadened pinch points in its spin structure factor is consistent with an effective description in terms of a fluid of interacting charges. We also show how this picture holds in two dimensions on the analogous centred kagome lattice and elucidate the connection to the physics of thin films in (d+1d+1) dimensions. Furthermore, we show that a Coulomb phase can be stabilized on the centred pyrochlore lattice by the addition of further neighbour couplings. This demonstrates the centred pyrochlore lattice is an experimentally relevant geometry which naturally hosts emergent gauge fields in the presence of charges at low energies.
Characterizing the hydraulic conductivity of soil based on the moving average of precipitation and groundwater level using a regional database
Authors: Kim Bokyung , Roh Gyeomju , Lee Jiyeong , Yoon Jonghyeog , Lee Junhwan 
Published: August 2023

Abstract
Hydraulic conductivity is an important geological and geotechnical characteristic, necessary for flow-related problems and underground construction. In many countries, databases for hydrology parameters and groundwater level (GWL) are well established, often not fully utilized for directly estimating hydraulic conductivity characteristics. In this study, a method for estimating hydraulic conductivity based on a regionally established database of hydrological, geological, and geotechnical parameters is proposed. For this purpose, 68 databases of hydrological, geological and geotechnical parameters in different regions in Korea were collected and adopted to develop a data-based estimation method of soil hydraulic conductivity. The time response of GWL to precipitation was considered as a key influence factor on the hydraulic conductivity of soil, as it directly affected the infiltration process of rainfalls into soil deposits. Moving average (MA) of precipitation was introduced, which gave the best correlation to GWL, to account for the effect of accumulated precedent precipitation. Case examples were selected and used to check the validity of the proposed method.
Evaluation of Therapeutic Mechanism of Hedyotis Diffusa Willd (HDW)‒
Scutellaria Barbata (SB) in Clear Cell Renal Cell Carcinoma via Singlecell
RNA Sequencing and Network Pharmacology
Authors: Bai Yangyang , Chen Ruiting , Sun Jijian , Guo Yilin 
Published: August 2023

Objective:
The present study aimed to investigate the therapeutic mechanism of Hedyotis
diffusa Willd (HDW) and Scutellaria barbata (SB) in ccRCC using a combination of single-cell
RNA sequencing (scRNA-seq) and network pharmacology.

Methods:
The active ingredients and potential molecular targets of HDW-SB were obtained from
the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. Gene
expression data (GSE53757) were obtained from the Gene Expression Omnibus database. The hub
genes of HDW-SB against ccRCC were identified via the protein–protein interaction network, and
further analyzed by molecular complex detection. The roles of these genes in the diagnosis and
immune infiltration of ccRCC were analyzed. The clinical significance of hub genes was verified
using scRNA-seq data (GSE121638) and molecular docking.

Results:
Following the PPI network analysis, 29 hub genes of HDW-SB against ccRCC were identified.
All hub genes, except for CENPE, had significantly different expressions in tumor tissue and
a more accurate diagnosis of ccRCC. Fifteen cell clusters were defined based on the scRNA-seq
dataset, and the clusters were annotated as six cell types using marker genes. TYMS and KIAA0101
from hub genes were highly expressed in NK cells. Three active compounds, quercetin, luteolin,
and baicalein, were found to target TYMS and KIAA0101 from the compound-target interaction
network.

Conclusion:
29 hub genes of HDW-SB against ccRCC were identified and showed good performance
in terms of diagnosis and prognosis. Moreover, among these hub genes docking with the
main ingredients of HDW-SB, TYMS and KIAA0101 exerted anti-ccRCC effects through NK cells.
Elucidation of the Role of the Epigenetic Regulatory Mechanisms of
PI3K/Akt/mTOR Signaling Pathway in Human Malignancies
Authors: Mohite Rupali , Doshi Gaurav 
Published: August 2023

Abstract:
The PI3K/Akt/mTOR pathway modulates cell growth, proliferation, metabolism, and
movement. Moreover, significant studies have shown that the genes involved in this pathway are
frequently activated in human cancer. Observational and computational modeling of the PI3K/AKt/
mTOR pathway inhibitors has been explored in clinical trials. It has been observed that the effectiveness
and safety evidence from clinical studies and various inhibitors of this route have been given
FDA approval. In this review article, we focused on the processes behind the overactivation of
PI3K/Akt/mTOR signaling in cancer and provided an overview of PI3K/Akt/mTOR inhibitors as
either individual drugs or a combination of different doses of drugs for different types of cancer.
Furthermore, the review discusses the biological function and activation of the PI3K/AKt/mTOR
signaling and their role in the development of cancers. Additionally, we discussed the potential
challenges and corresponding prediction biomarkers of response and resistance for PI3K/Akt/m-
TOR inhibitor development. The article focuses on the most current breakthroughs in using the
PI3K/Akt/mTOR pathway to target certain molecules.
Green Synthesis of Dy2Sn2O7 Nanostructures Employing Gum of Ferula
Assa Feotida for Formation of N3-substituted Quinazoline-2,4(1H,3H)-
diones
Authors: Sharafkhani Javad , Zhiani Rahele , Motavalizadehkakhky Alireza , Mehrzad Jamshid , Sadeghzadeh Seyed Mohsen 
Published: August 2023

Introduction:
Dy2Sn2O7 nanoparticles (Dy2Sn2O7 NPs) were generated in the attendance of
rheum gum, papaver somniferum gum, ferula assa feotida gum, barberry juice from Dy(NO3)3·5H2O
and SnCl4·5H2O.

Methods:
The study of the structure of the specimens verified the generation of nanocatalysts in the
scope of 20±5 nm. Synthesized catalysts with a variety of natural compounds were investigated by
employing various methods. The characteristics of Dy2Sn2O7 were determined by SEM, TEM, EDX,
and XRD. Due to the persistent colloidal stability, high mechanical, thermal sustainability, and high
ionic internal character, the system can be deemed as an efficient catalyst by deploying the guest-host
approaches.

Results:
Using industrial waste as raw materials and turning it into valuable products is an important
phenomenon in green chemistry. Carbon dioxide is among these substances. This substance is less reactive and it is difficult to use them in a reaction.

Conclusion:
We announce the employment of CO2, isocyanides, and o-halo anilines in a multicomponent reaction for the production of quinazolines in the participation of Dy2Sn2O7 as a nanocatalyst.
Uterine Cancer: A Nine-year Review from a Tertiary Hospital in Tamil
Nadu
Authors: Leela Krishnapriya , Mathew Chippy Tess , Gurusamy Umamaheswari 
Published: August 2023

Background:
With increasing uterine cancer in developing nations, there is a need for timely determination of the diagnosis, prognosis, and management options to reduce morbidity and mortality.

Objective:
To analyze the socio-demographic, etio-pathological features and management of uterine cancer and evaluate its correlation with grading/staging in our population.

Methods:
This retrospective descriptive study analyzed data from 97 histologically proven uterine cancer cases. Age, parity, symptoms, co-morbidities, body mass index (BMI), ultrasound features, histopathology type, stage and grade of the tumor, type of hysterectomy done, complications and mortality were analysed. Statistical analysis was done using ANOVA and chi-square test, and a p-value<0.05 indicated statistical significance.

Results:
The mean age of diagnosis was 57.91 years, and the mean BMI was 29.32 Kg/m2. Majority of the patients were multiparous (42.27%), and only 10% were nulliparous. The disease was detected at an earlier age in nulliparous and obese women. Diabetes and hypertension were found in 75.25%. Most of the patients were detected with stage I cancer (80.6%). Patients diagnosed with uterine cancer on biopsy were treated with total abdominal hysterectomy with bilateral salpingo-oophorectomy andbilateral pelvic lymph node dissection (55.8%). Over 36% of patients received postop radiotherapy and/or chemotherapy. 21% patients were lost to follow-up and 12.37% died. Also, 24 cases had postoperative complications (wound infection).

Conclusion:
Uterine cancer is common among obese women with diabetes and hypertension. In nulliparous and the obese, the cancer was detected at an earlier age. Most of our patients had stage 1 disease, and 90% was endometroid cancer. The study highlights the importance of endometrial sampling before hysterectomy in perimenopausal women to avoid suboptimal surgery in patients diagnosed with uterine cancer after a simple hysterectomy.
Analysis of Human Resources Development Strategy in Increasing Employee Productivity at PMKS PT. Pandawa's Ray
Authors: Sahputri Andriani , Aslami Nuri , Dharma Budi 
Published: August 2023

<p>Achievement of Crude Palm Oil (CPO) production at POM PT. Sinar Pandawa which exceeded the target was not in line with the absenteeism rate for the last three years, so it can be assumed that it was not from employee productivity. Therefore, employee work productivity still needs to be improved. This study aims to determine the human resource development strategy carried out by POM PT. Sinar Pandawa in increasing the work productivity of its employees. The research method used is a qualitative approach with descriptive analysis, by collecting data through interviews, observation, and documentation. The results showed the implementation of the human resource development strategy carried out by POM PT. Sinar Pandawa to increase employee productivity is to implement management functions, namely planning, organizing, supervising, and controlling all activities carried out by all departments in which there is a strategy for recruiting human resources, selecting, placing, and grouping employees, training, performance appraisal, as well as supervising and controlling company activities and employee attendance, various forms of appreciation for employees, as well as creating a safe and comfortable ecosystem as well as providing appreciation and relevant facilities. POM PT. Sinar Pandawa uses training as a way to increase the productivity of its employees.</p>
Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study
Authors: Hummelsberger Pia , Koch Timo K , Rauh Sabrina , Dorn Julia , Lermer Eva , Raue Martina , Hudecek Matthias F C , Schicho Andreas , Colak Errol , Ghassemi Marzyeh , Gaube Susanne 
Published: August 2023

Background
Artificial intelligence (AI) is often promoted as a potential solution for many challenges health care systems face worldwide. However, its implementation in clinical practice lags behind its technological development.

Objective
This study aims to gain insights into the current state and prospects of AI technology from the stakeholders most directly involved in its adoption in the health care sector whose perspectives have received limited attention in research to date.

Methods
For this purpose, the perspectives of AI researchers and health care IT professionals in North America and Western Europe were collected and compared for profession-specific and regional differences. In this preregistered, mixed methods, cross-sectional study, 23 experts were interviewed using a semistructured guide. Data from the interviews were analyzed using deductive and inductive qualitative methods for the thematic analysis along with topic modeling to identify latent topics.

Results
Through our thematic analysis, four major categories emerged: (1) the current state of AI systems in health care, (2) the criteria and requirements for implementing AI systems in health care, (3) the challenges in implementing AI systems in health care, and (4) the prospects of the technology. Experts discussed the capabilities and limitations of current AI systems in health care in addition to their prevalence and regional differences. Several criteria and requirements deemed necessary for the successful implementation of AI systems were identified, including the technology’s performance and security, smooth system integration and human-AI interaction, costs, stakeholder involvement, and employee training. However, regulatory, logistical, and technical issues were identified as the most critical barriers to an effective technology implementation process. In the future, our experts predicted both various threats and many opportunities related to AI technology in the health care sector.

Conclusions
Our work provides new insights into the current state, criteria, challenges, and outlook for implementing AI technology in health care from the perspective of AI researchers and IT professionals in North America and Western Europe. For the full potential of AI-enabled technologies to be exploited and for them to contribute to solving current health care challenges, critical implementation criteria must be met, and all groups involved in the process must work together.
El análisis situacional de la teoría fundamentada en salud: una revisión integrativa de la variante postmoderna de la teoría fundamentada
Authors: Ramírez-Pereira Mirliana , Figueredo-Borda Natalie , Opazo-Morales Esmérita , Oteiza-Diaz Cristina , Ferrada-Muñoz Mónica 
Published: August 2023

Introducción: La complejidad de la época actual exige tener en cuenta enfoques cuantitativos y cualitativos, datos de diferentes fuentes, métodos múltiples y un crisol de enfoques. Para dar respuesta a esta complejidad se presenta el análisis situacional como método posible. Metodología: Se presenta una revisión integrativa en relación con la variante de análisis situacional, que sigue los siguientes pasos: 1) identificación del problema (pregunta y objetivo de la investigación claramente definidos); 2) búsqueda bibliográfica (estrategia de búsqueda exhaustiva); 3) evaluación de datos; 4) análisis de datos (reducción de datos, visualización, comparación y conclusiones); y 5) presentación de los resultados así como las implicaciones para la práctica, la política públicas y las futuras investigaciones. Resultados: Emerge literatura que da cuenta del análisis situacional como una metodología utilizada en educación en salud, gestión en salud, políticas públicas y atención en salud, que incorpora elementos del análisis de discurso y teorías poshumanistas. Conclusiones: El análisis situacional es una metodología de comprensión de los fenómenos sociales, culturales, sanitarios y de educación, que está disponible y es acorde con la mirada multidimensional requerida para comprender la complejidad del entorno y fluidez de la era que estamos viviendo.