bluuebunny/crossref_metadata_2025_split huggingface dataset:
Arm circumference for age, Arm circumference and weight-for-height Z-score for the evaluation of severe acute malnutrition: a retrospective cohort study in eastern Democratic Republic of Congo
Authors: Ngaboyeka Gaylord , Bisimwa Ghislain , Neven Anouk , Mwene-Batu Pacifique , Kamable Richard , Ongezi Emmanuel , Chimanuka Christine , Ntagerwa Joseph , Balolebwami Serge , Mulume Francis , Battisti Oreste , Dramaix Michèle , Donnen Philippe 
Published: August 2023

Abstract
Background
Little is known about the use of mid-upper arm circumference for age (MUACZ) for diagnose of severe acute malnutrition (SAM) and its correlation with WHZ (weight-for-height Z-score) in an area endemic for severe acute malnutrition (SAM) and with a high prevalence of kwashiorkor. Our study aims to analyze the concordance between the diagnostic criteria of SAM in a region presenting these characteristics.
Methods
We analyzed a database of children admitted from 1987 to 2008 for the management of SAM in Eastern Democratic Republic of Congo. Anthropometric indicators (z-score) were calculated and classified into 3 categories according to WHO standards. Cohen's kappa coefficient (κ) was calculated to assess the concordance between these indicators.
Results
Out of the 9969 selected children aged 6 to 59 months, 30.2% had nutritional edema, 70.1% had a height-for-age (HAZ) z-score <-2, 11.5% WHZ<-3 z-score, 14.9% had a MUAC < 115 and 21.8% had a MUACZ <-3 z-score. With the classic combination WHZ and MUAC, 36% of children with SAM had both criteria at the same time and MUAC alone being the indicator that recruited more children with SAM (77%) compared with 65% with WHZ only. By replacing MUAC with MUACZ, 34% of SAM children fulfilled both criteria, WHZ and MUACZ. MUACZ alone recruited more children with SAM (88%) compared with 46% with WHZ alone. Considering these three indicators together, MUAZ remained the indicator that recruited more children with SAM (85%). WHZ and MUAC showed a moderate agreement [ κ (95% CI) = 0.408 (0.392–0.424)], WHZ and MUACZ a weak agreement [ κ (95% CI) = 0.363(0.347–0.379)] and MUAC and MUACZ a good agreement [ κ (95% CI) = 0.604 (0.590–0.618)].
Conclusion
Adjusting MUAC for age increases its ability to recruit children suffering from MAS in our region. Despite this, MUAC remains complementary to WHZ because of their weak concordance.
Comparative Analysis of Remote sensing based evapotranspiration models for seasonal crops in desert environment
Authors: Raja Azmat , Gopikrishnan T 
Published: August 2023

Abstract
Meticulous knowledge of evapotranspiration is vital for managing water resources. In this study, we used Landsat 8 to assess and evaluate four remote sensing-based energy balance models: SEBAL, SSEB, TSEB, and S-SEBI to predict evapotranspiration (ET) for seasonal crops in the desert environment. All models performed well in the prediction of spatial-temporal variation of ET. The actual ET of crops for different days of the year has been calculated using the Penman-Monteith equation and crop coefficients. The ET estimated for Kharif crops is higher than the Rabi crops. With different land cover, NDVI, and land surface temperature, the change of ET and transpiration is analysed. The seasonal transpiration is estimated using the trapezoidal and Gaussian fitting method. SSEB resulted in higher accuracy for Kharif crops, similarly TSEB model for Rabi crops. The spatiotemporal extent knowledge of ET can assist reservoir managers in allocating water for agriculture and other uses.
Comparative overall survival of CKD4/6 inhibitors in combination with endocrine therapy in advanced breast cancer
Authors: Kappel Coralea , Elliott Mitchell , Kumar Vikaash , Nadler Michelle , Desnoyer Alexandra , Amir Eitan 
Published: August 2023

Abstract
Purpose
Individual trials of abemaciclib, palbociclib, and ribociclib show a similar impact on progression-free survival yet differing statistical significance for overall survival (OS). A robust comparative evaluation of the efficacy, safety, and tolerability of the three drugs is warranted.
Methods
A systematic literature search identified phase 3 randomized clinical trials reporting OS of CDK4/6 inhibitors (CDK4/6i) in combination with endocrine therapy in ER-positive advanced breast cancer. Trial level data on OS and common and serious adverse events (AE) were extracted for each drug. In the absence of direct comparisons, a network meta-analysis was performed to evaluate pairwise comparative efficacy, safety, and tolerability of each of the CDK4/6i.
Results
Seven studies comprising of 4415 patients met the inclusion criteria. Median follow-up was 70.2 months (range: 48.7–90 months). There were no statistically significant differences in OS between any of the CDK4/6i. Compared to palbociclib, ribociclib and abemaciclib both showed significantly higher GI toxicity (grade 1–2 vomiting OR 1.87 [95% CI 1.37–2.56] and OR 2.27 [95% CI 1.59–3.23] respectively). Compared to palbociclib, abemaciclib was associated with more grade 3–4 diarrhea OR 118.06 [95% CI 7.28-1915.32]. In contrast, palbociclib was associated with significantly more neutropenia than ribociclib and abemaciclib but significantly lower risk of grade 3–4 infections. Abemaciclib had significantly less grade 3–4 transaminitis and grade 3–4 neutropenia than ribociclib. Treatment discontinuation and death due to AE was significantly higher with abemaciclib than palbociclib and ribociclib.
Conclusions
There is no statistically significant difference in OS between CDK4/6i despite differing statistical significance levels of individual trials. Real-world data analyses may help to identify if there is a meaningful inter-drug difference in efficacy. Significant differences between CDK4/6i are observed for safety and tolerability outcomes.
The Causal Relationship Between Autoimmune Diseases and Sepsis:A Two-Sample Bidirectional Mendelian Randomization Study
Authors: Guo Na , Zhang Lu , He Nan nan , Guo Hong , liu jian 
Published: August 2023

Abstract
Objectives
The aim of this Mendelian randomization (MR) study was to assess the potential association between liability to autoimmune diseases (ADs) and the risk of sepsis.
Methods
Data on autoimmune diseases, including ankylosing spondylitis (AS) (n = 273,824), rheumatoid arthritis (RA) (n = 253,417), sicca syndrome (SS) (n = 368,028), and systemic lupus erythematosus (SLE) (n = 12,730,023), were obtained from the FinnGen database. Data on sepsis (n = 12,730,023) were obtained from the UK Biobank genome-wide association study pooled data. Bi-directional MR analysis was conducted to explore potential causal relationships. The primary analysis employed the inverse variance-weighted (IVW) method to estimate causal effects, with MR-Egger, weighted median, simple mode, and weighted mode as supplementary methods. Sensitivity analyses, including Cochran's Q test, MR-Egger intercept test, and leave-one-out analysis, were performed to assess the robustness of the results.
Result
The forward MR analysis results indicated that SS (IVW: OR = 1.07, 95% CI: 1.02–1.12, p = 0.01) and SLE (IVW: OR = 1.05, 95% CI: 1.01–1.09, p = 0.01) might be associated with increased risk of sepsis, whereas the AS and RA were no association with sepsis. Reversed MR showed no effect of sepsis on four autoimmune diseases.
Conclusions
Our findings suggest a potential relationship between SS and SLE and an increased risk of sepsis. These results lay the groundwork for future clinical investigations into the causal association between SS, SLE, and sepsis.
Poly(ether ketone ketone)/Silica nanotubes Substrate Films and Their Sixth Generation Communciation Performance
Authors: Yeh Jen-taut , Lei Zhi-wen , Ma Ning , Hsu Tim 
Published: August 2023

Abstract
Silica hollow tube (SHT) nanofillers were fine distributed over poly(ether ketone ketone) (PEKK) to serve decently as sixth generation (6G) substrate films. Distinctly lower dielectric and thermal expansion characteristics were detected for all PEKKaxSHTy film sequence filled with proper amounts of SHT nanofillers. The dielectric characteristics detected for all PEKKaxSHTy film sequence diminished to a minimum, as the SHT loads came near an optimal value of 8wt%. The LCTE evaluated for each PEKKaxSHTy film sequence reduced distinctly with increasing SHT loads. Suitable dielectric constant (er) (2.26 at 1 MHz), and/or dielectric loss (tan d) (0.0027 at 1 MHz) and/or Linear coefficient of thermal expansion (LCTE) (30.5×10-6/oC) for 6G rapid-speed communication were detected for PEKKP700092SHT8 substrate film having 8wt% load of SHT nanofillers. Meanwhile, the beginning degradation temperatures estimated for all PEKKaxSHTy film sequence increased distinctly with increasing SHT loads. All free-volume-cavity characteristics estimated for all PEKKaxSHTy film sequence approached a highest value, as SHT loads came near an optimal value of 8wt%. Distinctly lower er and tan d were detected for PEKKa and PEKKaxSHTy having higher free-volume-cavity characteristics. Possible interpretations for the distinctly diminished dielectric and/or heat-resistant characteristics acquired for PEKKaxSHTy films are presented.
A simple and rapid assay of lysosomal-targeting CDy6 for long-term real-time viability assessments in 2D and 3D in vitro culture models
Authors: Kang Chanhan , YUN WON-SOO , Jeong Yun-Mi 
Published: August 2023

Abstract
CDy6, a BODIPY-derived compound, is used to label lysosomes and visualize mitotic and proliferating cells. However, its effectiveness in long-term, real-time cell viability assays using both 2D and 3D cell culture models is unclear. Here we evaluated the suitability of CDy6 by assessing living cell viability and proliferation in HaCaT keratinocyte and CCD-986sk human fibroblast cell lines in 2D and 3D cell culture models. Cells were stained with CDy6 or other dyes and imaged using confocal microscopy to obtain fluorescence images. To analyze the absorbance of CDy6-targeted lysosomal vesicles (CLVs) derived from living cells, DMSO was added to the CDy6-stained HaCaT cells and then incubated for 1 hour at room temperature, and their absorbance was measured using a spectrometer. In addition, we tested the effects of CLVs on 3D cell culture models by adding CDy6-stained collagen hydrogels to CCD-986sk cells and loading them into a frame construction to establish a 3D dermal layer for long-term culture. The CDy6-based method, measured using a spectrometer, yielded results similar to those of the widely used MTT assay for measuring cell viability. Compared to calcein AM staining, the CLV method allows for both absorbance measurement and imaging under short-term and long-term culture conditions and resulted in less cytotoxicity. In conclusion, the CLV method provides a simple and sensitive tool for assessing the status of living cells in 2D and 3D cell culture models and can be used as an alternative to animal testing. Moreover, it is effective for monitoring cell viability under long-term real-time conditions in vitro.
IL-17 in type II diabetes mellitus (T2DM) immunopathogenesis and complications; molecular approaches
Authors: Elahi Reza , Nazari Mahdis , Mohammadi Vahid , Esmaeilzadeh Kimia , Esmaeilzadeh Abdolreza 
Published: August 2023

Abstract

Chronic inflammation has long been considered the characteristic feature of type II diabetes mellitus (T2DM) Immunopathogenesis. Pro-inflammatory cytokines are considered the central drivers of the inflammatory cascade leading to β-cell dysfunction and insulin resistance (IR), two major pathologic events contributing to T2DM. Analyzing the cytokine profile of T2DM patients has also introduced IL-17 as an upstream regulator of inflammation, regarding its role in inducing the nuclear factor-kappa B (NF-κB) pathway. In diabetic tissues, IL-17 induces the expression of inflammatory cytokines and chemokines, e.g., TNF-α, IL-6, and chemokine (C-X-C motif) ligand (CXCL) family. Hence, IL-17 can deteriorate insulin signaling and β-cell function by activating the JNK pathway and inducing infiltration of neutrophils into pancreatic islets, respectively. Additionally, higher levels of IL-17 expression in patients with diabetic complications compared to non-complicated individuals have also proposed a role for IL-17 in T2DM complications. Here, we highlight the role of IL-17 in the Immunopathogenesis of T2DM and corresponding pathways, recent advances in preclinical and clinical studies targeting IL-17 in T2DM, and corresponding challenges and possible solutions.
Enhancing Home Security through an Android-based Door Security System using IoT Technology
Authors: Mabasha Shaik , Kamini Srinivasa Rao , Babu Sadhu Ratna , SHAIK Abdul Hameed 
Published: August 2023

Abstract
The security of a home largely depends on the effectiveness of its door lock system. However, instances of occupants forgetting to lock the door or doubting its status due to time constraints are not uncommon. To address this issue, we propose an innovative Android-based application called the Door Security System, which leverages Internet of Things (IoT) technology to monitor, control, and enhance the security of a house. The system utilizes the MQTT cloud as a communication protocol between the smartphone and the door lock mechanism. The Door Security System incorporates various sensors to ensure comprehensive monitoring. A Passive Infrared (PIR) sensor is implemented within the door lock to detect any movement near the door, while a touch sensor is installed on the door handle to recognize human interaction. In the event of forced entry, an alarm will promptly ring and send notifications to the house occupants, effectively alerting them about the presence of an intruder. Evaluation results demonstrate the accuracy of the motion detection sensor, accurately detecting movements up to 1.6 meters ahead. Additionally, the communication between the smartphone and the door lock system is securely encrypted, ensuring the safe transmission of messages. Furthermore, the system incorporates Simple Mail Transfer Protocol (SMTP) to send an email notification to the occupants, including an attachment—a photo captured using the ESP32-CAM. The proposed Door Security System, with its integration of IoT technology, presents a robust solution to augment home security. By providing real-time monitoring, remote control, and immediate notifications, it offers peace of mind to house occupants, allowing them to securely manage their doors from anywhere. The utilization of sensors, MQTT cloud, and encrypted communication ensures the system's reliability and effectiveness.
Effect of Selected Factors on Adoption of Organic Agriculture Certificate: A Logistic Regression Approach
Authors: Malhan Pardeep , Ram Tika 
Published: August 2023

Abstract

Certificate provides guarantee to the consumers that the product is grown by the producers without using any chemicals and harmful pesticides and is of a certain quality. Besides certificate, reputation of the farm or personal relationships are the methods of guaranteeing. But, for the expansion of the marketing at a larger scale, certification of organic products is required as a guarantee. Such guarantee in term of certificate of products means to encourage and communicate its associated benefits. This paper determines the adoption of organic agriculture certificate under demographic and marketing practices and its impacts on farmers. In doing so, a binary logistic model is specified and implemented in the case of adoption of organic agriculture certificate in Haryana, India. Results suggests that adoption of organic agriculture certification are depend on some demographic and marketing factors. Gender, experience, training, marketing infrastructure support, existing distribution and promotion support have a positive and significant effect on the adoption of organic Agriculture certificate.
Long-Term Survival Impact and Obstetric Outcomes After Fertility Preservation Surgery in Borderline Ovarian Tumors
Authors: Tunç Mehmet , Emre Gunakan , Huseyin Akilli , Nihan Haberal Asuman , Ali Haberal , Ali Ayhan 
Published: August 2023

Abstract
Purpose
To assess the long-term oncologic and obstetric outcomes after fertility sparing surgery (FSS) in women with borderline ovarian tumors (BOTs).
Material and Methods
This retrospective study included 141 BOT patients. Specimens of patients were reevaluated according to new WHO–2020 classification of ovarian tumors. Obstetric outcomes were evaluated for FSS subgroup. Survival analysis were performed in the whole group.
Results
FSS and standard surgery applied 93 and 48 patients, respectively. Median follow-up time was 86 months. The 5-year OS and DFS rates were 100% and 87%, respectively. FSS (p:0.000) and regional disease (stage III disease) (p:0.002) were associated with a shorter 5-year DFS. Regional disease was the only prognostic factor for DFS (p:0.002). Analysis of FSS subgroup revealed regional disease (p:0.004) as a significant factor associated with decreased 5-year DFS. Cystectomy was associated with a shorter 5-year DFS when compared to USO (65.6% vs. 88.7%, respectively) (p:0.031). Pregnancy rate was 76.7% among 43 patients who attempted to conceive. There were 34 livebirths among 33 women.
Conclusion
Regional disease appeared to be the only significant factor for decreased 5-year DFS. FSS seems to be an appropriate choice for young women with BOTs.
Troll on the net - testing the vulnerability of different networks structures on misinformation
Authors: Kopczewski Tomasz , Kocerka Julian 
Published: August 2023

Abstract
Internet trolls are a powerful instrument for spreading misinformation. A troll can be an algorithm that sends a predetermined message to the network and works on the principle: "Repeat a lie often enough, and people will believe it". This study uses a modified DeGroot model of social learning to test the network's vulnerability to messages spread by such trolls. In the study, random graphs generated in a Monte Carlo simulation are infected by a troll placed in a random vertex. The number of interactions needed to fully identify with the troll's message by all network participants will measure the vulnerability of the graphs on misinformation. Multidimensional Scaling and Random Forest machine learning methods applied to data from Monte Carlo simulation will determine which graph and vertex statistics are the best predictors of the network's vulnerability to misinformation. We found that the features of the troll are much stronger predictors than the characteristic of the network.
Victorian Aboriginal services co-creating knowledge about healing and recovery for Aboriginal and Torres Strait Islander survivors of child sexual abuse: A study protocol.
Authors: Gee Graham , Black Carlina , Mulder Stella , Milroy Helen , Gibbs Jordan , Biggs Laura , Kennedy Helen , Brown Stephanie 
Published: August 2023

Abstract
Background: Child sexual abuse is a human rights and public health issue with harmful impacts on individuals, families and communities of all nations and cultures. There is a lack of research on healing and recovery from child sexual abuse for Aboriginal and Torres Strait Islander individuals, families, and communities. This protocol has been co-designed with practitioners and senior staff from six Aboriginal partner services dedicated to supporting Aboriginal and Torres Strait Islander survivors of child sexual abuse in the Australian state of Victoria.
Methods: This multi-method study is grounded in Indigenous research methodologies and methods of data generation, in addition to complementary Western methodology and methods of data analysis. The protocol outlines three related research activities, which make up the first phase of the study. The first activity involves three Cultural Wellbeing and Yarning Gatherings over an 8-month period. These gatherings will provide a culturally safe space for practitioners and senior staff of the partner services to participate in data generation through yarning about healing and recovery from child sexual abuse. This research activity utilises yarning and a grounded theory approach. The second activity involves formative evaluation of an 8-month Community of Practice for practitioners and senior staff, utilising yarning for data generation. This activity will use reflexive thematic analysis as the approach to data analysis. The third activity is a scoping review that investigates Indigenous peoples’ experiences of healing and recovery from child sexual abuse and will utilise thematic analysis.
Discussion: This co-designed program of research focuses on supporting practitioners and services dedicated to supporting survivors of child sexual abuse. It addresses some key needs of Aboriginal and Torres Strait Islander practitioners and services working in the area of healing for Aboriginal survivors of child sexual abuse, through developing new knowledge and support processes that are inclusive of practice wisdom and that privilege Aboriginal and Torres Strait Islander knowledges.
Identifying potential biomarkers and molecular mechanisms of postmenopausal osteoporosis using weighted coexpression analysis and multiple machine learning modeling
Authors: Wang Shuo , Chen Shengwu , Gao Yixuan , Zhou Hongli 
Published: August 2023

Abstract
Objective:
The goal of this study was to discover key genes associated with postmenopausal osteoporosis (PMOP), and evaluate their roles in disease development and prognosis.
Methods:
Microarray analysis of GSE56815 was conducted to identify differentially expressed genes (DEGs) between PMOP patients and normal individuals. A combined analysis was performed involving upregulated DEGs and genes within the weighted coexpression analysis (WCGNA) modules. This was done to determine key genes with a high association with PMOP and showing increased expression at the transcriptional level. Functional enrichment analysis and protein‒protein interaction (PPI) network analysis were implemented on these key genes. LASSO regression was utilized to minimize the dimensionality of these genes. Multiple machine learning models were established on the training set, and the random forest model with the best performance was chosen to detect potential biomarkers for PMOP.
Results:
Three key genes, MX2, IFI35, and SERPINB2, were identified through our analysis. These genes occupy a central position in the regulatory network and showed excellent performance in the machine learning models. The area under the curve (AUC) of the validation set implied that these identified key genes possess strong predictive power and applicability. The genes were found to be mainly enriched in the B-cell receptor signaling pathway and osteoclast differentiation.
Conclusion:
This study provides significant insights into the mechanisms underlying the development and progression of osteoporosis. The identification of potential biomarkers may aid in early diagnosis, prevention, and treatment of osteoporosis, and serves as a foundation for the development of more effective therapeutic strategies and preventive measures.