bluuebunny/crossref_metadata_2025 huggingface dataset:
Sexually dimorphic pubertal development and adipose tissue kisspeptin dysregulation in the obese and preeclamptic-like BPH/5 mouse model offspring
Authors: Gomes Viviane C. L. , Beckers Kalie F. , Crissman Kassandra R. , Landry Camille A. , Flanagan Juliet P. , Awad Reham M. , Piero Fabio Del , Liu Chin-Chi , Sones Jenny L.
Published: March 2023

Preeclampsia (PE) is a devastating hypertensive disorder of pregnancy closely linked to obesity. Long-term adverse outcomes may occur in offspring from preeclamptic pregnancies. Accordingly, sex-specific changes in pubertal development have been described in children from preeclamptic women, but the underlying mechanisms remain vastly unexplored. Features of PE are spontaneously recapitulated by the blood pressure high subline 5 (BPH/5) mouse model, including obesity and dyslipidemia in females before and throughout pregnancy, superimposed hypertension from late gestation to parturition and fetal growth restriction. A sexually dimorphic cardiometabolic phenotype has been described in BPH/5 offspring: while females are hyperphagic, hyperleptinemic, and overweight, with increased reproductive white adipose tissue (rWAT), males have similar food intake, serum leptin concentration, body weight and rWAT mass as controls. Herein, pubertal development and adiposity were further investigated in BPH/5 progeny. Precocious onset of puberty occurs in BPH/5 females, but not in male offspring. When reaching adulthood, the obese BPH/5 females display hypoestrogenism and hyperandrogenism. Kisspeptins, a family of peptides closely linked to reproduction and metabolism, have been previously shown to induce lipolysis and inhibit adipogenesis. Interestingly, expression of kisspeptins (Kiss1) and their cognate receptor (Kiss1r) in the adipose tissue seem to be modulated by the sex steroid hormone milieu. To further understand the metabolic-reproductive crosstalk in the BPH/5 offspring, Kiss1/Kiss1r expression in male and female rWAT were investigated. Downregulation of Kiss1/Kiss1r occurs in BPH/5 females when compared to males. Interestingly, dietary weight loss attenuated circulating testosterone concentration and rWAT Kiss1 downregulation in BPH/5 females. Altogether, the studies demonstrate reproductive abnormalities in offspring gestated in a PE-like uterus, which appear to be closely associated to the sexually dimorphic metabolic phenotype of the BPH/5 mouse model.
A machine learning approach to identifying suicide risk among text-based crisis counseling encounters
Authors: Broadbent Meghan , Medina Grespan Mattia , Axford Katherine , Zhang Xinyao , Srikumar Vivek , Kious Brent , Imel Zac
Published: March 2023

Introduction

With the increasing utilization of text-based suicide crisis counseling, new means of identifying at risk clients must be explored. Natural language processing (NLP) holds promise for evaluating the content of crisis counseling; here we use a data-driven approach to evaluate NLP methods in identifying client suicide risk.

Methods

De-identified crisis counseling data from a regional text-based crisis encounter and mobile tipline application were used to evaluate two modeling approaches in classifying client suicide risk levels. A manual evaluation of model errors and system behavior was conducted.

Results

The neural model outperformed a term frequency-inverse document frequency (tf-idf) model in the false-negative rate. While 75% of the neural model’s false negative encounters had some discussion of suicidality, 62.5% saw a resolution of the client’s initial concerns. Similarly, the neural model detected signals of suicidality in 60.6% of false-positive encounters.

Discussion

The neural model demonstrated greater sensitivity in the detection of client suicide risk. A manual assessment of errors and model performance reflected these same findings, detecting higher levels of risk in many of the false-positive encounters and lower levels of risk in many of the false negatives. NLP-based models can detect the suicide risk of text-based crisis encounters from the encounter’s content.
Association of burnout with depression in pharmacists: A network analysis
Authors: He Mu , Li Kuiliang , Tan Xuejiao , Zhang Lei , Su Chang , Luo Keyong , Luo Xi , Liu Chang , Zhao Mengxue , Zhan Xiaoqing , Wang Qian , Cen Jing , Lv Jun , Weng Bangbi , Feng Zhengzhi , Ren Lei , Yang Guoyu , Wang Feifei
Published: March 2023

Background

Burnout and depression have overlapping symptoms, but the extent of overlap remains unclear, and the complex relationship between burnout and depression in pharmacists is rarely explored.

Methods

We investigated burnout and depression in 1,322 frontline pharmacists, and explored the complex relationship between burnout and depression in those pharmacists using network analysis.

Results

Network analysis showed that there were 5 communities. A partial overlap was found between burnout and depressive symptoms in pharmacists. The nodes MBI-6 (I have become more callous toward work since I took this job), D18 (My life is meaningless), and D10 (I get tired for no reason) had the highest expected influence value. D1 (I feel down-hearted and blue) and D14 (I have no hope for the future) were bridge symptoms connected with emotional exhaustion and reduced professional efficacy, respectively.

Conclusion

A partial overlap exists between burnout and depressive symptoms in pharmacists, mainly in the connection between the emotional exhaustion and reduced professional efficacy and the depressive symptoms. Potential core targets identified in this study may inform future prevention and intervention.
Family context as a double-edged sword for psychological distress amid the COVID-19 pandemic with the mediating effect of individual fear and the moderating effect of household income
Authors: Chen Bowen , Gong Weijie , Lai Agnes Yuen Kwan , Sit Shirley Man Man , Ho Sai Yin , Yu Nancy Xiaonan , Wang Man Ping , Lam Tai Hing
Published: March 2023

Background

The COVID-19 pandemic drives psychological distress. Previous studies have mostly focused on individual determinants but overlooked family factors. The present study aimed to examine the associations of individual and family factors with psychological distress, and the mediating effect of individual fear and the moderating role of household income on the above associations.

Methods

We conducted a population-based cross-sectional survey on Chinese adults in Hong Kong from February to March 2021 (N = 2,251) to measure the independent variables of anti-epidemic fatigue, anti-epidemic confidence, individual and family members’ fear of COVID-19, and family well-being (range 0–10), and the dependent variable of psychological distress (through four-item Patient Health Questionnaire, range 0–4).

Results

Hierarchical regression showed that anti-epidemic fatigue was positively (β = 0.23, 95% CI [0.18, 0.28]) while anti-epidemic confidence was negatively (β = −0.29, 95% CI [−0.36, −0.22]) associated with psychological distress. Family members’ fear of COVID-19 was positively (β = 0.11, 95% CI [0.05, 0.16]) while family well-being was negatively (β = −0.57, 95% CI [−0.63, −0.51]) associated with psychological distress. Structural equation model showed that individual fear mediated the above associations except for family well-being. Multi-group analyses showed a non-significant direct effect of anti-epidemic confidence and a slightly stronger direct effect of family well-being on psychological distress among participants with lower incomes, compared to those with higher incomes.

Conclusion

We have first reported the double-edged effect of family context on psychological distress, with the positive association between family members’ fear of COVID-19 and psychological distress fully mediated by individual fear and the negative association between family well-being and psychological distress moderated by income level. Future studies are warranted to investigate how the contagion of fear develops in the family and how the inequality of family resources impacts family members’ mental health amid the pandemic.
Generation paths of major production safety accidents — A fuzzy-set qualitative comparative analysis based on Chinese data
Authors: Zhou Fujun , Zhang Jian , Fu Cheng
Published: March 2023

Major production safety accidents have become the key obstacle to improve the overall safety production level. Analyzing the causal relationship of major production safety accidents is helpful to clarify its characteristics and laws. Based on the literature, the analytical framework of “individual - technology - management - environment” is proposed. Taking 37 production safety accidents as samples, fuzzy set qualitative comparative analysis (fsQCA) is used to analyze the occurrence path and mechanism of major production safety accidents. The results show that: (1) Major production safety accidents are the result of multiple factors coupling. Minor external supervision or abnormal production behaviors are more likely to cause major production safety accidents. (2) When the production behavior is abnormal and the safety management ability is insufficient, major production safety accidents are more likely to occur. (3) There are five ways and three mechanisms for major production safety accidents. This work enriches the cognition of causality of production safety accidents from the perspective of configuration, clearly shows which variable combinations lead to major accidents, and helps to prevent and reduce major production safety accidents and their risks.
Considerations and analysis of the implementation of oncogeriatrics in Chile and its importance: Review of current literature
Authors: Honorato Macarena , Calderón Oscar , Rojas Verónica , Fasce Gerardo , Bartolotti Constanza , Caglevic Christian
Published: March 2023

The Chilean census of 2017 reported that 11.4% of the local population are 65 years or older, and according to the National Institute of Statistics (INE) the current expectancy of life in Chile is 76 years for men and 81 years for women respectively. Cancer in Chile is a major public health problem. Aging is a significant risk factor for cancer development which added to the improved life expectancy, it increases the incidence of cancer. In 2040, new cancer cases will increase from 19.3 to 30.2 million worldwide. Older people are a heterogeneous group requiring specialized and individualized management. Chronological age does not necessarily correlate with physiological age. More than half of the geriatric patients with cancer have at least one comorbidity which is relevant when defining a cancer treatment. Likewise, polypharmacy is frequent and is an important issue to consider in people with cancer due to the risk associated with drug interactions. Oncogeriatric assessment consists of a comprehensive multidimensional evaluation, including functional and biopsychosocial issues, addressing aspects of the neoplastic disease such as the risk of toxicities due to systemic therapy and life expectancy. This tool has proven to be helpful in the diagnosis of conditions that are not evident in a routine oncological evaluation, such as geriatric syndromes, frailty, functional dependence, and cognitive impairment among others, which have an impact when deciding on therapy, predicting risks of treatment toxicity and mortality. In this article we aim to describe the current situation of Oncogeriatrics and to provide epidemiological information about cancer in the elderly population in Chile attempting to highlight the importance of the Oncogeriatrics units, within cancer departments, for a better decision taking in the elderly cancer patient.
Development and evaluation of a java-based deep neural network method for drug response predictions
Authors: Huang Beibei , Fong Lon W. R. , Chaudhari Rajan , Zhang Shuxing
Published: March 2023

Accurate prediction of drug response is a crucial step in personalized medicine. Recently, deep learning techniques have been witnessed with significant breakthroughs in a variety of areas including biomedical research and chemogenomic applications. This motivated us to develop a novel deep learning platform to accurately and reliably predict the response of cancer cells to different drug treatments. In the present work, we describe a Java-based implementation of deep neural network method, termed JavaDL, to predict cancer responses to drugs solely based on their chemical features. To this end, we devised a novel cost function and added a regularization term which suppresses overfitting. We also adopted an early stopping strategy to further reduce overfit and improve the accuracy and robustness of our models. To evaluate our method, we compared with several popular machine learning and deep neural network programs and observed that JavaDL either outperformed those methods in model building or obtained comparable predictions. Finally, JavaDL was employed to predict drug responses of several aggressive breast cancer cell lines, and the results showed robust and accurate predictions with r2 as high as 0.81.
Innovations in mandibular advancement splint therapy for obstructive sleep apnoea
Authors: Mohammadieh Anna , Tong Benjamin , De Chazal Philip , Cistulli Peter A.
Published: March 2023

Mandibular advancement splint (MAS) therapy emerged as an effective therapy for obstructive sleep apnoea (OSA) in the mid 1990s, and is now the leading treatment alternative for OSA. Since its inception, the field has seen a suite of revisions and advances in relation to design and customisation, fabrication, titration methods, response prediction models and the integration of data collection technology. This paper reviews these current and emerging innovations in MAS therapy and their impact upon sleep apnoea management.
Making an executable paper with the Python in Heliophysics Community to foster open science and improve reproducibility
Authors: Polson Shawn , Ringuette Rebecca , Rastaetter Lutz , Grimes Eric , Niehof Jonathan , Murphy Nicholas A. , Zheng Yihua
Published: March 2023

We share the story of how we made this paper, the first executable paper in Heliophysics, through cross-disciplinary collaboration to highlight the benefits of our process. Executable papers are interactive documents that put a publication’s text inline with the code used in the research in a containerized environment with the data and dependencies needed to run the code. This approach enables readers to reproduce every step taken to arrive at the publication’s conclusions and to easily build upon and extend the work—all important components of open science. Open science is, broadly speaking, transparent and accessible knowledge that is shared and developed through collaborative networks. In this work, we present an adaptable workflow to compare magnetosphere models to spacecraft observations. It is one example of many other workflows that can be developed through collaborations between software developers and scientists in a move towards open science. Most of the authors are members of the Python in Heliophysics Community (PyHC), an international, multi-organizational community that serves as a knowledge base for performing Heliophysics research in the Python programming language. PyHC promotes the executable paper format as a supplemental tool to improve the reproducibility of publications and support open science. A key takeaway is that our collaboration made such a complex task an easy feat in the end. Additionally, the executable version of our paper makes it trivial for others to reproduce our work, and it gives them a better launching point to extend it. These facts underscore the success of our approach. In highlighting this new open science approach, we hope to be an example to our field and encourage this way of doing science.
Dictating play to the left wing: Does soccer make you more Democratic?
Authors: Rewilak Johan M.
Published: March 2023

There is a correlation between soccer's popularity and states that traditionally vote Democrat in US elections. This has led to claims that where democrats lead, soccer follows. Yet, this relationship may not be entirely stable, as soccer may stimulate the Democratic party vote through its multicultural elements. Using the 1994 World Cup as a plausibly exogenous shock that positioned US soccer, we investigate whether US states that hosted the tournament increased their Democratic vote in future Presidential elections. A two-way fixed-effects estimator and a dynamic difference-in-difference estimator shows that if a US state was a 1994 World Cup host, it increased its Democratic vote share. However, when examining Major League Soccer franchises, this relationship breaks down but recovers when investigating the women's World Cup in 1999 and 2003. As the swing states of Florida and Georgia are hosting 2026 World Cup matches, the findings may hold key insights for the 2028 Presidential election.
“I hardly have a problem […] I have my period quite rarely too”: Female football players’ and their coaches’ perceptions of barriers to communication on menstrual cycle
Authors: Bergström Max , Rosvold Malene , Sæther Stig Arve
Published: March 2023

Introduction

Symptoms related to the menstrual cycle (MC) affect the performance level and health of female athletes in various ways. Previous research has reported MC symptoms such as pain, mood disturbance, reduced coordination and competition distraction as well as diminished performance levels and an increased injury risk among female elite athletes. Despite this, the coach-athlete communication related to the female hormonal cycle is limited. The aim of the present study was to explore the perceptions of MC communication in a group of junior elite football players and their male coaches in a case study of one youth football team in a specific club in Norway.

Methods

The study used a qualitative approach with semi-structured interviews. In total, 8 female junior elite players (aged 16-20) from a Norwegian football team and 2 of their male coaches participated in the study.

Results

The data analysis revealed two main communication barriers: 1. interpersonal barriers (e.g., false assumptions about the coach/athletes and social discomfort) and 2. knowledge barriers (e.g., unaware/perceptions of insufficient knowledge levels).

Discussion

As the players seemed to be unaware of their insufficient MC knowledge (e.g., failed to see a connection between the MC and their health and performance level), the coaches perceived their knowledge as insufficient and coped mainly by outsourcing MC communication to female staff and apps. Hence, the MC communication was hindered by both the athletes and the coaches (e.g., mutual avoidance). In line with previous research, this study supports that there is a need for developing effective strategies to overcome the interpersonal barriers and knowledge gaps.
Robotic segmentectomy for early-stage lung cancer
Authors: Savonitto Elisabeth , Yasufuku Kazuhiro , Wallace Alison M.
Published: March 2023

Lobectomies have long been the gold standard for surgical treatment of early-stage non-small cell lung cancer (NSCLC), with segmentectomies limited to instances of benign disease or as an alternative in patients where lung preservation is indicated. However, a recently published randomized control trial has demonstrated the superiority of segmentectomy over lobectomy in terms of overall survival for early-stage lung cancer. Segmentectomy could thus be considered a standard procedure for small-sized peripheral NSCLC. While segmentectomy via video-assisted thoracic surgery (VATS) is the most widespread approach, development in video instrumentation and thoracic robotic surgery is rapidly gaining interest. Indeed, robotic surgery pioneers boast the advantages in three-dimensional view, improved magnification, ergonomics, dexterity, safety, and ease of surgery with this technology. This review aims to outline robotic-assisted segmentectomy indications, preoperative evaluation, and the operative conduct for the different lung segments from a single surgeon console. There are many ways to perform segmentectomies and therefore this review describes generalized approaches that can be tailored based on experience.
The concerns of mechanical upper urinary tract obstruction in neurogenic lower urinary tract dysfunction: Beyond augmentation cystoplasty
Authors: Zhou Zhonghan , Wang Xuesheng , Liao Limin
Published: March 2023

Purpose

To evaluate the efficacy of augmentation uretero-enterocystoplasty (AUEC), a modified surgical procedure that focuses the mobilization of the ureter and the necessity of ureteroplasty in a series of neurogenic lower urinary tract dysfunction (NLUTD) patients with mechanical upper urinary tract obstruction (mUUTO).

Methods

We retrospectively reviewed the medical records of NLUTD patients who underwent an AUEC from 2005 to 2022. mUUTO was diagnosed by preoperative bladder drainage, magnetic resonance urography (MRU), and isotope renography. Upper urinary tract dilatation (UUTD) was evaluated using MRU with the Liao MRU-UUTD system.

Results

A total of 58 patients and 103 ureters were analyzed. Improvement in maximum bladder capacity (from 79.0 [41.3–163.8] to 500.0 [450.0–597.5] ml, P < 0.001), maximum detrusor pressure (from 32.0 [13.0–50.8] to 5.5 [4.0–10.0] cmH2O, P < 0.001) and bladder compliance (from 6.5 [3.0–11.9] to 50.1 [37.5–65.0] ml/cmH2O, P < 0.001), and stabilization of serum creatine (93.4 [73.0–142.7] to 94.9 [72.2–148.7] μmol/L, P = 0.886) were observed. The proportion of high-grade UUTD was significantly reduced after the surgery (92.3% vs. 13.5%, 92.1% to 9.8%, P < 0.001), and the typical imaging signs of preoperative obstruction disappeared.

Conclusion

Beyond traditional augmentation cystoplasty, more attention should be paid to the relief of mUUTO and mobilization of the ureter in NLUTD patients.
Testing and Analysis of the Vibration Response Characteristics of Heavy-Haul Railway Tunnels and Surrounding Soil with Base Voids
Authors: Gao Liping , Luo Jianjun , Chen Tielin , Wang Dengke , Wang Guanqing
Published: March 2023

This paper discusses research on the dynamic response characteristics of a heavy-haul railway tunnel and the surrounding soil under the conditions of substrate health and a base void. The detection results of the base condition of 20 double-track tunnels for a heavy-haul railway show the main distribution law of base voids. Based on this, a 1:20 scale test model of a heavy-haul railway tunnel is established. The vibration load of the train is established by a vibration exciter arranged at the tunnel invert. The dynamic response and attenuation law of a heavy-haul railway tunnel lining structure and the surrounding soil are tested using acceleration sensors, strain gauges, and soil pressure boxes. The research results show that most of the diseases are concentrated below the heavy-haul line. The base void causes the peak acceleration of the nearby tunnel invert to increase by 55.6%. Tunnel annular construction joints reduce the conductivity of the vibration waves in the axial direction of the tunnel. The acceleration attenuation rate of the soil above the tunnel invert is significantly less than that under the invert. The base void reduces the acceleration of the nearby soil layer by 19.4% and increases the stress on the surface of the nearby tunnel invert by 21.3%, and the stress change amplitude increases by 0.55%. The tunnel structure in the area of the base void experiences fatigue damage. The base void causes the compaction and bearing capacity of the nearby soil to decrease and the softening speed of the tunnel basement soil layer to increase. Therefore, for the basement damage to heavy-haul railway tunnels, “early detection, early treatment” should be performed.
Evaluating CMIP6 Historical Mean Precipitation over Africa and the Arabian Peninsula against Satellite-Based Observation
Authors: Nooni Isaac Kwesi , Ogou Faustin Katchele , Chaibou Abdoul Aziz Saidou , Nakoty Francis Mawuli , Gnitou Gnim Tchalim , Lu Jiao
Published: March 2023

This study evaluated the historical precipitation simulations of 49 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) in reproducing annual and seasonal precipitation climatology, linear trends, and their spatial correlation with global SST across Africa and the Arabian Peninsula during the period of 1980–2014, using Global Precipitation Climatology Centre (GPCP) data as a reference. Taylor’s diagram was used to quantify the strengths and weaknesses of the models in simulating precipitation. The CMIP6 multi-mean ensemble (MME) and the majority of the GCMs replicated the dominant features of the spatial and temporal variations reasonably well. The CMIP6 MME outperformed the majority of the individual models. The spatial variation of the CMIP6 MME closely matched the observation. The results showed that at annual and seasonal scales, the GPCP and CMIP6 MME reproduced a coherent spatial pattern in terms of the magnitude of precipitation. The humid region received >300 mm and the arid region received <50 mm across Africa and the Arabian Peninsula. The models from the same modeling centers replicated the precipitation levels across different seasons and regions. The CMIP6 MME and the majority of the individual models overestimate (underestimate) in humid (arid and semi-arid)-climate zones. The annual and pre-monsoon seasons (i.e., DJFMA) were better replicated in the CMIP6 GCMs than in the monsoon-precipitation model (MJJASON). The CMIP6 MME (GPCP) showed stronger wetting (drying) trends in the northern hemisphere. In contrast, a strong drying trend in the CMIP6 MME and a weak wetting trend in the GPCP were shown in the Southern Hemisphere. The CMIP6 MME captures the spatial pattern of linear trends better than individual models across different climate zones and regions. The relationship between precipitation and sea-surface temperature (SST) exhibited a high spatial correlation (−0.80 and 0.80) with large variability across different regions and climate zones. The GPCP (CMIP6 MME) exhibited a heterogenous (homogeneous) spatial pattern, with higher correlation coefficients recorded in the CMIP6 MME than in the GPCP in all cases. Individual models from the same modeling centers showed spatial homogeneity in correlation values. The differences exhibited by the individual GCMs highlight the significance of each model’s unique dynamics and physics; however, model selection should be considered for specific applications.
Implication of Obesity and Gut Microbiome Dysbiosis in the Etiology of Colorectal Cancer
Authors: Singh Samradhi , Sharma Poonam , Sarma Devojit , Kumawat Manoj , Tiwari Rajnarayan , Verma Vinod , Nagpal Ravinder , Kumar Manoj
Published: March 2023

The complexity and variety of gut microbiomes within and among individuals have been extensively studied in recent years in connection to human health and diseases. Our growing understanding of the bidirectional communication between metabolic diseases and the gut microbiome has also highlighted the significance of gut microbiome dysbiosis in the genesis and development of obesity-related cancers. Therefore, it is crucial to comprehend the possible role of the gut microbiota in the crosstalk between obesity and colorectal cancer (CRC). Through the induction of gut microbial dysbiosis, gut epithelial barrier impairment, metabolomic dysregulation, chronic inflammation, or dysregulation in energy harvesting, obesity may promote the development of colorectal tumors. It is well known that strategies for cancer prevention and treatment are most effective when combined with a healthy diet, physical activity, and active lifestyle choices. Recent studies also suggest that an improved understanding of the complex linkages between the gut microbiome and various cancers as well as metabolic diseases can potentially improve cancer treatments and overall outcomes. In this context, we herein review and summarize the clinical and experimental evidence supporting the functional role of the gut microbiome in the pathogenesis and progression of CRC concerning obesity and its metabolic correlates, which may pave the way for the development of novel prognostic tools for CRC prevention. Therapeutic approaches for restoring the microbiome homeostasis in conjunction with cancer treatments are also discussed herein.
Moyamoya Vasculopathy in Neurofibromatosis Type 1 Pediatric Patients: The Role of Rare Variants of RNF213
Authors: Ognibene Marzia , Scala Marcello , Iacomino Michele , Schiavetti Irene , Madia Francesca , Traverso Monica , Guerrisi Sara , Di Duca Marco , Caroli Francesco , Baldassari Simona , Tappino Barbara , Romano Ferruccio , Uva Paolo , Vozzi Diego , Chelleri Cristina , Piatelli Gianluca , Diana Maria Cristina , Zara Federico , Capra Valeria , Pavanello Marco , De Marco Patrizia
Published: March 2023

Neurofibromatosis type 1 (NF1) is a neurocutaneous disorder caused by mutations in NF1 gene, coding for neurofibromin 1. NF1 can be associated with Moyamoya disease (MMD), and this association, typical of paediatric patients, is referred to as Moyamoya syndrome (MMS). MMD is a cerebral arteriopathy characterized by the occlusion of intracranial arteries and collateral vessel formation, which increase the risk of ischemic and hemorrhagic events. RNF213 gene mutations have been associated with MMD, so we investigated whether rare variants of RNF213 could act as genetic modifiers of MMS phenotype in a pediatric cohort of 20 MMS children, 25 children affected by isolated MMD and 47 affected only by isolated NF1. By next-generation re-sequencing (NGS) of patients’ DNA and gene burden tests, we found that RNF213 seems to play a role only for MMD occurrence, while it does not appear to be involved in the increased risk of Moyamoya for MMS patients. We postulated that the loss of neurofibromin 1 can be enough for the excessive proliferation of vascular smooth muscle cells, causing Moyamoya arteriopathy associated with NF1. Further studies will be crucial to support these findings and to elucidate the possible role of other genes, enhancing our knowledge about pathogenesis and treatment of MMS.
Role of Endothelial Cell Metabolism in Normal and Tumor Vasculature
Authors: D’Alessio Alessio
Published: March 2023

Endothelial cells (ECs) form a simple squamous epithelium, the endothelium, which lines the lumen of all blood vessels and the heart [...]
Current Research and Development in Hyperthermic Intraperitoneal Chemotherapy (HIPEC)—A Cross-Sectional Analysis of Clinical Trials Registered on ClinicalTrials.gov
Authors: Ukegjini Kristjan , Guidi Marisa , Lehmann Kuno , Süveg Krisztian , Putora Paul Martin , Cihoric Nikola , Steffen Thomas
Published: March 2023

Introduction: Over the past two decades, cytoreductive surgery and HIPEC has improved outcomes for selected patients with peritoneal metastasis from various origins. This is a cross-sectional study with descriptive analyses of HIPEC trials registered on ClinicalTrials.gov. This study aimed to characterize clinical trials on HIPEC registered on ClinicalTrials.gov with the primary objective of identifying a trial focus and to examine whether trial results were published. Methods: The search included trials registered from 1 January 2001 to 14 March 2022. We examined the associations of exposure variables and other trial features with two primary outcomes: therapeutic focus and results reporting. Results: In total, 234 clinical trials were identified; 26 (11%) were already published, and 15 (6%) trials have reported their results but have not been published as full papers. Among ongoing nonpublished trials, 81 (39%) were randomized, 30 (14%) were blinded, n = 39 (20%) were later phase trials (i.e., phases 3 and 4), n = 152 (73%) were from a single institution, and 91 (44%) had parallel groups. Most of the trials were recruiting at the time of this analysis (75, 36%), and 39 (20%) were completed but had yet to publish results. In total, 68% of the trials focused on treatment strategies, and 53% investigated the oncological outcome. The most studied neoplasms for HIPEC trials were peritoneally metastasized colorectal cancer (32%), gastric cancer (29%), and ovarian cancer (26%). Twenty different drugs were analyzed in these clinical trials. Conclusions: Many study results are awaited from ongoing HIPEC trials. Most HIPEC trials focused on gastric, colorectal, or ovarian cancer. Many clinical trials were identified involving multiple entities and chemotherapeutic agents.
Diagnosis and Treatment of Peripheral and Cranial Nerve Tumors with Expert Recommendations: An EUropean Network for RAre CANcers (EURACAN) Initiative
Authors: Pellerino Alessia , Verdijk Robert M. , Nichelli Lucia , Andratschke Nicolaus H. , Idbaih Ahmed , Goldbrunner Roland
Published: March 2023

The 2021 WHO classification of the CNS Tumors identifies as “Peripheral nerve sheath tumors” (PNST) some entities with specific clinical and anatomical characteristics, histological and molecular markers, imaging findings, and aggressiveness. The Task Force has reviewed the evidence of diagnostic and therapeutic interventions, which is particularly low due to the rarity, and drawn recommendations accordingly. Tumor diagnosis is primarily based on hematoxylin and eosin-stained sections and immunohistochemistry. Molecular analysis is not essential to establish the histological nature of these tumors, although genetic analyses on DNA extracted from PNST (neurofibromas/schwannomas) is required to diagnose mosaic forms of NF1 and SPS. MRI is the gold-standard to delineate the extension with respect to adjacent structures. Gross-total resection is the first choice, and can be curative in benign lesions; however, the extent of resection must be balanced with preservation of nerve functioning. Radiotherapy can be omitted in benign tumors after complete resection and in NF-related tumors, due to the theoretic risk of secondary malignancies in a tumor-suppressor syndrome. Systemic therapy should be considered in incomplete resected plexiform neurofibromas/MPNSTs. MEK inhibitor selumetinib can be used in NF1 children ≥2 years with inoperable/symptomatic plexiform neurofibromas, while anthracycline-based treatment is the first choice for unresectable/locally advanced/metastatic MPNST. Clinical trials on other MEK1-2 inhibitors alone or in combination with mTOR inhibitors are under investigation in plexiform neurofibromas and MPNST, respectively.
Characterization of Mediastinal Bulky Lymphomas with FDG-PET-Based Radiomics and Machine Learning Techniques
Authors: Abenavoli Elisabetta Maria , Barbetti Matteo , Linguanti Flavia , Mungai Francesco , Nassi Luca , Puccini Benedetta , Romano Ilaria , Sordi Benedetta , Santi Raffaella , Passeri Alessandro , Sciagrà Roberto , Talamonti Cinzia , Cistaro Angelina , Vannucchi Alessandro Maria , Berti Valentina
Published: March 2023

Background: This study tested the diagnostic value of 18F-FDG PET/CT (FDG-PET) volumetric and texture parameters in the histological differentiation of mediastinal bulky disease due to classical Hodgkin lymphoma (cHL), primary mediastinal B-cell lymphoma (PMBCL) and grey zone lymphoma (GZL), using machine learning techniques. Methods: We reviewed 80 cHL, 29 PMBCL and 8 GZL adult patients with mediastinal bulky disease and histopathological diagnoses who underwent FDG-PET pre-treatment. Volumetric and radiomic parameters were measured using FDG-PET both for bulky lesions (BL) and for all lesions (AL) using LIFEx software (threshold SUV ≥ 2.5). Binary and multiclass classifications were performed with various machine learning techniques fed by a relevant subset of radiomic features. Results: The analysis showed significant differences between the lymphoma groups in terms of SUVmax, SUVmean, MTV, TLG and several textural features of both first- and second-order grey level. Among machine learning classifiers, the tree-based ensembles achieved the best performance both for binary and multiclass classifications in histological differentiation. Conclusions: Our results support the value of metabolic heterogeneity as an imaging biomarker, and the use of radiomic features for early characterization of mediastinal bulky lymphoma.
From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics
Authors: Salahuddin Zohaib , Chen Yi , Zhong Xian , Woodruff Henry C. , Rad Nastaran Mohammadian , Mali Shruti Atul , Lambin Philippe
Published: March 2023

Automatic delineation and detection of the primary tumour (GTVp) and lymph nodes (GTVn) using PET and CT in head and neck cancer and recurrence-free survival prediction can be useful for diagnosis and patient risk stratification. We used data from nine different centres, with 524 and 359 cases used for training and testing, respectively. We utilised posterior sampling of the weight space in the proposed segmentation model to estimate the uncertainty for false positive reduction. We explored the prognostic potential of radiomics features extracted from the predicted GTVp and GTVn in PET and CT for recurrence-free survival prediction and used SHAP analysis for explainability. We evaluated the bias of models with respect to age, gender, chemotherapy, HPV status, and lesion size. We achieved an aggregate Dice score of 0.774 and 0.760 on the test set for GTVp and GTVn, respectively. We observed a per image false positive reduction of 19.5% and 7.14% using the uncertainty threshold for GTVp and GTVn, respectively. Radiomics features extracted from GTVn in PET and from both GTVp and GTVn in CT are the most prognostic, and our model achieves a C-index of 0.672 on the test set. Our framework incorporates uncertainty estimation, fairness, and explainability, demonstrating the potential for accurate detection and risk stratification.
An Overview of Renewable Energy Technologies in the Eastern Cape Province in South Africa and the Rural Households’ Energy Poverty Coping Strategies
Authors: Mukumba Patrick , Chivanga Shylet Y.
Published: March 2023

Despite technological innovation and vast renewable energy sources in rural areas, a significant number of rural households are living in energy poverty, and there is a pressing need to come up with strategies to mitigate this. This paper presents an overview of the energy sources in the Eastern Cape Province, the status of renewable energy technologies and the household energy poverty coping strategies in rural areas. The analysis of this study is based on conducted studies on renewable technologies in the Eastern Cape. This paper aims to help to provide a deeper understanding in the selection of the most appropriate renewable energy technologies suited to rural households’ energy needs and to fill the knowledge gap existing in renewable energy technologies to make it easier to map a way forward into the households’ energy poverty coping strategies in the Eastern Cape.
Effects on Sleep Quality of Physical Exercise Programs in Older Adults: A Systematic Review and Meta-Analysis
Authors: Solis-Navarro Lilian , Masot Olga , Torres-Castro Rodrigo , Otto-Yáñez Matías , Fernández-Jané Carles , Solà-Madurell Mireia , Coda Andrea , Cyrus-Barker Erika , Sitjà-Rabert Mercè , Pérez Laura Mónica
Published: March 2023

Background: Given the beneficial effects of exercise in different populations and the close relationship between healthy ageing and sleep quality, our objective was to determine if physical exercise delivered through a structured program improves sleep quality in older adults. Methods: Embase, PubMed/MEDLINE, Web of Science, and Cochrane Register of Clinical Trials (CENTRAL) were searched to 15 January 2023. Studies that applied physical exercise programs in older adults were reviewed. Two independent reviewers analysed the studies, extracted the data, and assessed the quality of evidence. Results: Of the 2599 reports returned by the initial search, 13 articles reporting on 2612 patients were included in the data synthesis. The articles used interventions based on yoga (n = 5), multicomponent exercise (n = 3), walking (n = 2), cycling (n = 1), pilates (n = 1), elastic bands (n = 1), and healthy beat acupunch (n = 1). In the intervention group, we found significant improvement in Pittsburgh sleep quality index of −2.49 points (95% CI −3.84 to −1.14) in comparison to the control group (p = 0.0003) and sleep efficiency measured with objective instruments (MD 1.18%, 95% CI 0.86 to 1.50%, p < 0.0001). Conclusion: Our results found that physical exercise programs in older adults improve sleep quality and efficiency measured with objective instruments.
Aboveground Biomass and Endogenous Hormones in Sub-Tropical Forest Fragments
Authors: Liu Chang , Du Wenzhi , Cao Honglin , Shen Chunyu , Ma Lei
Published: March 2023

Associated endogenous hormones were affected by forest fragmentation and significantly correlated with aboveground biomass storage. Forest fragmentation threatens aboveground biomass (AGB) and affects biodiversity and ecosystem functioning in multiple ways. We ask whether and how forest fragmentation influences AGB in forest fragments. We investigated differences in AGB between forest edges and interiors, and how plant community characteristics and endogenous hormones influenced AGB. In six 40 m × 40 m plots spread across three forest fragments, AGB was significantly higher in plots in the forest interior than in those at the edge of forests. The proportion of individuals with a large diameter at breast height (DBH > 40 cm) in the forest edges is higher than that in the forest interiors. Further, trees within a 15–40 cm DBH range had the highest contribution to AGB in all plots. Trees in interior plots had higher abscisic acid (ABA) and lower indole-3-acetic acid (IAA) concentrations than those in edge plots. In addition, AGB was significantly positively and negatively correlated with ABA and IAA concentrations at the community scale. In this study, we provide an account of endogenous hormones’ role as an integrator of environmental signals and, in particular, we highlight the correlation of these endogenous hormone levels with vegetation patterns. Edge effects strongly influenced AGB. In the future, more endogenous hormones and complex interactions should be better explored and understood to support consistent forest conservation and management actions.
Automatic Processing for Identification of Forest Fire Risk Areas along High-Voltage Power Lines Using Coarse-to-Fine LiDAR Data
Authors: Hernández-López David , López-Rebollo Jorge , Moreno Miguel A. , Gonzalez-Aguilera Diego
Published: March 2023

This work focuses on the automatic identification of forest fire risk areas along high-voltage power lines through the development of a tool and its validation on a real forest area. The tool allows one to automate the whole process, which includes the classification of the point cloud, the computation of the catenary of the wires using different calculation methods, the estimation of the vegetation growth and the identification of the risk areas. To this end, a coarse-to-fine approach is proposed, so that a preliminary analysis is performed with public airborne LiDAR data, and then a more detailed inspection is provided with drone LiDAR data over those areas classified as high risk. The tool and the methodology developed were validated along a high-voltage power line of 53 km in a real forest area. The results show that although the preliminary analysis based on public airborne LiDAR data is more conservative, it is very useful for selecting those areas of higher risk for further analysis with drone LiDAR data.
Effects of Inoculation with Different Rhizobia on the Nutritional Value and Ruminal Fermentation of Desmodium intortum
Authors: Hou Xiao-Xiao , Hu An , Li Mao , Huan Shu-Qian , Xun Wen-Juan , Zhu Yun-Chi , Dong Rong-Shu
Published: March 2023

Rhizobia inoculation is widely used in legumes to improve the yield and quality of forage. However, the symbiotic interactions of different legumes are specific. The search for efficient strains plays an important role in legume forage and in practical production. In this study, Desmodium intortum was first inoculated with rhizobia from different regions, and then the production traits, nutritional quality, and fermentation of D. intortum in the rumen were evaluated according to the rhizobia strains. The results showed that, compared with the control, inoculation with different rhizobia strains significantly increased the number of nodules, shoot fresh weight, crude protein content, plant protein yield, and ether extract content of D. intortum, and inoculation with the R3 strain (Bradyrhizobium elkanii) increased these values by 61.0%, 29.6%, 16.1%, 62.9%, and 30.4%, respectively. In the basal diet of Pennisetum purpureum Rich. × P. americana King grass cv. Reyan No.4, D. intortum inoculated with different rhizobia was added (75:25), and the combination of the inoculated R3 and R5 strains increased the rumen’s ammonia-nitrogen (NH3-N) levels and in vitro dry matter digestibility (IVDMD): R3 increased the contents of NH3-N and IVDMD by 50.1% and 12.3%, respectively, while R5 increased them by 50.9% and 15.4%, respectively. Based on a comprehensive evaluation through principal component analysis, R3 was ranked first overall. These results support the development of competitive inoculants from indigenous strains as a strategy to improve the nutritional value of D. intortum and ruminal fermentation.
Simulation Study on Suppressing Shielded Fires by Water Mist Systems
Authors: Hamzehpour Azad , Verda Vittorio , Borchiellini Romano
Published: March 2023

This article presents a numerical analysis of the performance of three water mist fire suppression systems, with different characteristics, on shielded fires as representing more realistic fire scenarios in an enclosure. A diesel pool fire with a peak heat release rate (HRR) value of 75 kW is covered by an obstacle above it with different shielding conditions to investigate the influence of the obstacle size and the vertical distance between the obstacle and the nozzle on the efficiency of the water mist systems. The obstacle prevents a large number of droplets from directly reaching the fuel surface and flames. The modeling and numerical analysis of this study were carried out by the fire dynamics simulator (FDS) programming tool, and the designed model was validated against the experimental data for both dry and wet tests. The results show that two of the analyzed mist sprays could successfully extinguish the shielded fires in a short time with an obstacle size of 25 cm × 25 cm and 50 cm × 50 cm, placed at two heights. However, the third mist system had a longer extinguishing time compared to the first two nozzles. All three nozzles failed to suppress the fire covered by the largest obstacle (1 m × 1 m). The shielding conditions and nozzle characteristics can affect the performance of water mist systems to some extent.