bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modifying the Growing Media and Bio Stimulants Supply for Healthy Gerbera (Gerbera jamesonii) Flowers
Authors: Ali Islam A. A. , Hassan Soheir E. , Abdelhafez Ahmed A. , Hewidy Mohammed , Nasser Mohamed A. , Saudy Hani Saber , Hassan Karim M. , Abou-Hadid Ayman F. 
Published: October 2023

AbstractGerbera (Gerbera jamesonii) cv. Jaguar Yellow is an ornamental plant of the Asteraceae family. Ordinarily, farmers use expensive materials such as peat moss as a media substrate in gerbera production, in addition to application high nitrogen fertilizers. Therefore, the current study was designed to assess the yield and quality changes of gerbera flowers owing to utilizing environment-friendly inputs under unheated plastic greenhouse conditions for two seasons of 2017/18 and 2018/19. The experiments were laid out in a randomized complete block design with 3 replicates, each replicate involved 5 pots per treatment. For preparing the soil substrate mixtures, four substances were used which involved peat moss (P), sand (S), vermicompost (V), and compost (C). P + S, P + S + V and P + S + C were assembled whether with or without Azotobacter+Azospirillum as bio stimulant (Bio) addition to obtain six combinations. Results showed that P + S + V + Bio was the effective practice for enhancing gerbera plant height, leaf width, root weight plant plant-1 and leaves weight plant-1. Also, P + S + V + Bio produced the maximum values of leaf chlorophyll, nitrogen, phosphorus, and potassium contents. The differences in flowering initiation between P + S and each of P + S + V, P + S + V + Bio, P + S + C and P + S + C + Bio were not significant. P + S + V + Bio (for flowering duration and flower yield), in addition to P + S + V (for flowering duration) recorded the highest values in both seasons.
Point-of-care ultrasonography for the diagnosis and manual detorsion of testicular torsion
Authors: Hosokawa Takahiro , Tanami Yutaka , Sato Yumiko , Oguma Eiji 
Published: October 2023

AbstractTesticular torsion is a urological emergency caused by the loss of testicular tissue due to ischemic damage. Rapid diagnosis and urgent treatment play a crucial role in the management of testicular torsion. Manual detorsion can be performed at the bedside, thereby reducing the duration of ischemia. Recent studies have reported the use of point-of-care ultrasonography for diagnosing testicular torsion; however, no review article has focused on the ultrasonographic findings pertaining to manual detorsion. This review describes the diagnosis of testicular torsion and the ultrasonographic indications for manual detorsion. Spermatic cord twisting or the whirlpool sign, absence of or decreased blood flow within the affected testis, abnormal testicular axis, abnormal echogenicity, and enlargement of the affected testis and epididymis due to ischemia are the sonographic findings associated with testicular torsion. The following findings are considered indications for manual detorsion: direction of testicular torsion, i.e., inner or outer direction (ultrasonographic accuracy of 70%), and the degree of spermatic cord twist. The following sonographic findings are used to determine whether the treatment was successful: presence of the whirlpool sign and the degree and extent of perfusion of the affected testis. Misdiagnosis of the direction of manual detorsion, a high degree of spermatic cord twisting and insufficient detorsion, testicular compartment syndrome, and testicular necrosis were found to result in treatment failure. The success of manual detorsion is determined based on the symptoms and sonographic findings. Subsequent surgical exploration is recommended in all cases, regardless of the success of manual detorsion.
The concept of quality of life and its application using the World Value Survey Wave 7: Slovak experience
Authors: Murgaš František , Macků Karel , Grežo Henrich , Petrovič František 
Published: October 2023

AbstractThe paper is focused on the spatial differentiation of the quality of life at a district level, drawing data from the World Value Survey Round 7 (2017–2022). Spatial quality of life research in the traditional sense is based on the premise that quality of life is experienced by the individual in a physical geographical space, and therefore the research focuses on the objective, spatial dimension of quality of life, measured using the objective indicators, usually from statistical sources. The novelty of the paper lies in the premise that a spatial investigation of the subjective dimension of quality of life is also possible, focusing on the question of where people are satisfied with their lives. The indicator of this dimension is a self-related evaluation, obtained using the face-to-face method or the internet. In the case of the World Value Survey 7, data collection was done using the Computer-Assisted Personal Interviewing (CAPI) technique. The aim of the paper is to conceptualize the subjective dimension of quality of life, apply the concept using data from WVS 7 and to find out which of the selected variables—also contained in WVS 7—are predictors of quality of life.
Artificial intelligence models in prediction of response to cardiac resynchronization therapy: a systematic review
Authors: Nazar Wojciech , Szymanowicz Stanisław , Nazar Krzysztof , Kaufmann Damian , Wabich Elżbieta , Braun-Dullaeus Rüdiger , Daniłowicz-Szymanowicz Ludmiła 
Published: October 2023

AbstractThe aim of the presented review is to summarize the literature data on the accuracy and clinical applicability of artificial intelligence (AI) models as a valuable alternative to the current guidelines in predicting cardiac resynchronization therapy (CRT) response and phenotyping of patients eligible for CRT implantation. This systematic review was performed according to the PRISMA guidelines. After a search of Scopus, PubMed, Cochrane Library, and Embase databases, 675 records were identified. Twenty supervised (prediction of CRT response) and 9 unsupervised (clustering and phenotyping) AI models were analyzed qualitatively (22 studies, 14,258 patients). Fifty-five percent of AI models were based on retrospective studies. Unsupervised AI models were able to identify clusters of patients with significantly different rates of primary outcome events (death, heart failure event). In comparison to the guideline-based CRT response prediction accuracy of 70%, supervised AI models trained on cohorts with > 100 patients achieved up to 85% accuracy and an AUC of 0.86 in their prediction of response to CRT for echocardiographic and clinical outcomes, respectively. AI models seem to be an accurate and clinically applicable tool in phenotyping of patients eligible for CRT implantation and predicting potential responders. In the future, AI may help to increase CRT response rates to over 80% and improve clinical decision-making and prognosis of the patients, including reduction of mortality rates. However, these findings must be validated in randomized controlled trials.
Refugee entrepreneurship motivations in Sweden and Germany: a comparative case study
Authors: Zalkat Ghazal , Barth Henrik , Rashid Lubna 
Published: October 2023

AbstractRefugee entrepreneurs can make a significant contribution to sustainable growth and development in host countries. However, comprehensive comparative studies of refugee entrepreneurial motivations are scarce, particularly in the absence of a theoretical framework on entrepreneurship motivation that is suitable for such contexts. This is a research topic that is increasingly of interest to scholars and policymakers working with refugee workforce integration, particularly in light of forecasted increases in global forced displacement over the next years. This paper tests and extends newly constructed entrepreneurship motivation measures, comparing person-related factors and the perceptions of environmental-related factors for Syrian refugee entrepreneurs in Sweden and Germany. The results indicate that their motivations differ between the two countries with respect to market conditions, the educational environment, dissatisfaction, and know-how. However, refugee entrepreneurs in both countries have similar levels of entrepreneurial ambition and attitude and are motivated by similar perceptions of social environments and cultural norms. This paper identifies how entrepreneurship motivation differences could be considered by governments to better shape and inform host countries’ programs and policies to improve refugee entrepreneurship and subsequent integration.
Towards Improving the Efficacy of PSMA-Targeting Radionuclide Therapy for Late-Stage Prostate Cancer—Combination Strategies
Authors: Arbuznikova Daria , Eder Matthias , Grosu Anca-Ligia , Meyer Philipp T. , Gratzke Christian , Zamboglou Constantinos , Eder Ann-Christin 
Published: October 2023

Abstract
Purpose of Review
[177Lu]Lu-PSMA-617 is a radiopharmaceutical that emits beta-minus radiation and targets prostate-specific membrane antigen (PSMA)-positive prostate cancer. Despite its clinical success, there are still patients not showing sufficient response rates. This review compiles latest studies aiming at therapy improvement in [177Lu]Lu-PSMA-617-naïve and -resistant patients by alternative or combination treatments.

Recent Findings
A variety of agents to combine with [177Lu]Lu-PSMA-617 are currently under investigation including alpha radiation-emitting pharmaceuticals, radiosensitizers, taxane chemotherapeutics, androgen receptor pathway inhibitors, immune checkpoint inhibitors, and external beam radiation. Actinium-225 (225Ac)-labeled PSMA-targeting inhibitors are the most studied pharmaceuticals for combination therapy or as an alternative for treatment after progression under [177Lu]Lu-PSMA-617 therapy.

Summary
Alpha emitters seem to have a potential of achieving a response to PSMA-targeting radionuclide therapy in both initial non-responders or responders to [177Lu]Lu-PSMA-617 later developing treatment resistance. Emerging evidence for immunostimulatory effects of radiopharmaceuticals and first prospective studies support the combination of [177Lu]Lu-PSMA-617 and immune checkpoint inhibition for late-stage prostate cancer.
Transforming Perspectives in Cardiac Cell Therapy: Hypothesis and Commentary Following Updated Results of a Pilot Study Investigating Very Long-Term Clinical Outcomes in Severe AMI Patients Following Trans-Epicardial Injection of Peripheral Blood CD34+ Cells
Authors: Hénon Philippe , Bischoff Nicolas , Dallemand Robert 
Published: October 2023

AbstractIschemic heart attack is the leading cause of death worldwide. Ten percent of cases will die within an hour. Of the survivors, around 30% will have suffered a severe infarction which will lead to the irreparable destruction of 1 to 2 billion myocardial cells, causing an irreversible secondary heart failure with a poor prognosis in the short. The heart is a totally differentiated organ with a very low capacity for self-regeneration. No current treatment can prevent this fatal outcome, but only slow it down. For these reasons, cell therapy has generated enormous hope, but achieved somewhat disappointing results, depending on the type/source of cells which were used. From the end of 2002, our group conducted a Pilot study using immuno-selected autologous peripheral-blood (PB) CD34+ cells in a small cohort of patients who had experienced a heart attack with poor prognosis. Three of these patients were immediately considered for heart transplant but lacked a readily available donor. CD34+ cells were trans-epicardially delivered at the end of a coronary artery by-pass graft (CABG) operation without reperfusing the ischemic area, which was performed on a compassionate basis. All but one patient showed a marked and sustained improvement in their cardiac function parameters from the baseline values, associated with both cardiac tissue repair and revascularization, as demonstrated by PetScan examination. The patients’ outcomes have been recently updated. Six out of seven patients have survived in good enough conditions for at least 12 years after cell therapy, including those three initially recommended for heart transplant and who have avoided it. Presently, five out of seven patients are still alive with an average follow-up of 17 years (range 16–20 years), which is very unusual after CABG for patients with such a poor initially prognosis.
Graphical Abstract
Gender differences in non-alcoholic fatty liver disease in obese children and adolescents: a large cross-sectional study
Authors: Jin Binghan , Wu Zhaoyuan , Wang Shan , Yu Zhu , Ullah Rahim , Liang Xinyi , Wu Wei , Huang Ke , Ni Yan , Wang Jianbing , Dong Guanping , Fu Junfen 
Published: October 2023

Abstract
Objective
Previous studies have reported sex differences in non-alcoholic fatty liver disease (NAFLD) among adults; however, little is known about its occurrence in children and adolescents. This study aims to examine the prevalence of NAFLD among them and investigate the relationship between sex hormones and NAFLD.

Method
This study included 2999 obese Chinese children aged 2–18 years. We examined the prevalence of NAFLD by sex, age, and Tanner stage. The regression model and principal component analysis were used to analyze the relationship between sex hormones and NAFLD.

Results
The prevalence of NAFLD increased with age in both sexes, and the gender difference appeared before puberty. The prevalence in boys tended to stabilize at the age of 11 years, whereas girls reached their peak temporarily. NAFLD prevalence was positively associated with estradiol in boys (p = 0.011), but the opposite trend was observed in girls (p = 0.031). Testosterone levels decreased with the increase of NAFLD prevalence in boys (p < 0.001). Luteinizing hormone and prolactin were inversely associated with NAFLD prevalence in boys and girls, respectively. Results from the principal component analysis showed that sex hormone levels and fat distribution were important risk factors for the prevalence of NAFLD in obese children (p < 0.001).

Conclusion
The significant difference in NAFLD prevalence between genders in obese children begins in early childhood. This distinction emerges long before puberty onset and tends to stabilize during late adolescence. Sex hormones are associated with NAFLD prevalence and are influenced by the Tanner stages and fat distribution.
Machine learning models to complete rainfall time series databases affected by missing or anomalous data
Authors: Lupi Andrea , Luppichini Marco , Barsanti Michele , Bini Monica , Giannecchini Roberto 
Published: October 2023

AbstractIn recent years, artificial intelligence in geosciences is spreading more and more, thanks to the availability of a large amount of data. In particular, the development of automatic raingauges networks allows to get rainfall data and makes these techniques effective, even if the performance of artificial intelligence models is a consequence of the coherency and quality of the input data. In this work, we intended to provide machine learning models capable of predicting rainfall data starting from the values of the nearest raingauges at one historic time point. Moreover, we investigated the influence of the anomalous input data on the prediction of rainfall data. We pursued these goals by applying machine learning models based on Linear Regression, LSTM and CNN architectures to several raingauges in Tuscany (central Italy). More than 75% of the cases show an R2 higher than 0.65 and a MAE lower than 4 mm. As expected, we emphasized a strong influence of the input data on the prediction capacity of the models. We quantified the model inaccuracy using the Pearson's correlation. Measurement anomalies in time series cause major errors in deep learning models. These anomalous data may be due to several factors such as temporary malfunctions of raingauges or weather conditions. We showed that, in both cases, the data-driven model features could highlight these situations, allowing a better management of the raingauges network and rainfall databases.
Towards a Socio-Legal Robotics: A Theoretical Framework on Norms and Adaptive Technologies
Authors: Larsson Stefan , Liinason Mia , Tanqueray Laetitia , Castellano Ginevra 
Published: October 2023

AbstractWhile recent progress has been made in several fields of data-intense AI-research, many applications have been shown to be prone to unintendedly reproduce social biases, sexism and stereotyping, including but not exclusive to gender. As more of these design-based, algorithmic or machine learning methodologies, here called adaptive technologies, become embedded in robotics, we see a need for a developed understanding of what role social norms play in social robotics, particularly with regards to fairness. To this end, we (i) we propose a framework for a socio-legal robotics, primarily drawn from Sociology of Law and Gender Studies. This is then (ii) related to already established notions of acceptability and personalisation in social robotics, here with a particular focus on (iii) the interplay between adaptive technologies and social norms. In theorising this interplay for social robotics, we look not only to current statuses of social robots, but draw from identified AI-methods that can be seen to influence robotics in the near future. This theoretical framework, we argue, can help us point to concerns of relevance for questions of fairness in human–robot interaction.
PIK3CD correlates with prognosis, epithelial–mesenchymal transition and tumor immune infiltration in breast carcinoma
Authors: He Wenxing , Zhang Haoyi , Cheng Hong , Wen Jianfeng , Li Dongmei 
Published: October 2023

Abstract
Background
Breast carcinoma (BRCA) is one of the most common, fatal, and aggressive cancers, with increasing morbidity that has a major impact on human health. PIK3CD appears to have important roles in the beginning and advancement of various forms of human cancer, according to mounting data. However,the particular role and mechanism of PIK3CD in BRCA remains not fully identified.

Methodology
The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/), Genotype-Tissue Expression (GTEx) data and the UCSC Xena browser (https://xenabrowser.net) data were used in this study’s initial pan-cancer analysis of PIK3CD expression and prognosis. Circular RNAs (circRNAs) that regulated the expression of PIK3CD were subsequently found using a combination of in silico investigations of expression, correlation, and survival. Measurements of PIK3CD expression and an analysis of the in vitro function of PIK3CD in BRCA cells were performed using real-time RT-PCR, Western blotting and Transwell assays.

Results
In BRCA GLI2, RAB32, LAMB1, MGAT2, ITGA8, CHF, COL6A3 and PRRX1-miR-30b-5p axis was identified as the most likely upstream CircRNA-related route of PIK3CD. PIK3CD was correlated with the expression of EMT markers. The PIK3CD cDNA improved the capacity for invasion and migration. The expression of PIK3CD was linked to some of the m1A/m5C/m6A regulators. Additionally, it was discovered that the expression of PIK3CD was found to be highly connected to the expression of immunological checkpoints, immune cell biomarkers, and tumor immune cell invasion.

Conclusions
Our findings reveal that PIK3CD expression is associated with prognosis, EMT, and tumor immune infiltration in BRCA patients.
Experimental investigation and prediction of saturation exponent in carbonate rocks: the significance of rock-fluid properties
Authors: Saadat Kazem , Rahimpour-Bonab Hossain , Tavakoli Vahid , Gholinezhad Jebraeel 
Published: October 2023

AbstractHydrocarbon reserves are commonly estimated from electrical logs based on the Archie’s law. Therefore, understanding the concepts and precise determination of Archie’s parameters play an essential role in reservoir studies. The electrical properties of carbonates are affected by both microstructures and wetting characteristics of these heterogeneous rocks. Understanding of these effects and prediction of Archie’s parameters are significant theoretical and experimental challenges. In this paper, these effects were analyzed separately using rocks with various lithologies including limestone, dolomitic limestone and dolostones. Samples with different sedimentary textures (grainstones and packstones), porosities and pore types were also considered under different laboratory conditions. For microstructure effects analysis, 16 heterogeneous carbonate samples having a wide range of microstructures were selected. To decrease wetting effect, the washed samples were tested in air–brine injection system at ambient conditions to measure saturation exponent. Subsequently, in order to investigate the influence of the wetting characteristics on this exponent, 25 homogeneous limestone samples were employed for water–oil injection under reservoir conditions. The porous plate was used as a standard technique to determine the saturation exponent as an electrical index. The results showed that pore connectivity and wettability are the main factors affecting the saturation exponent. Heterogeneity, including the presence of large pores and bimodal texture, is another effective factor that complicates the relationship between saturation exponent and wettability. Furthermore, results indicate variation of the saturation exponent with fluid saturation. Finally, equations were obtained to interpret and calculate the saturation exponent using capillary pressure data by mercury injection method. The derived equations clearly demonstrate the significant impact of the studied parameters on the saturation exponent in carbonate rocks.
Extended reality (xR) flight simulators as an adjunct to traditional flight training methods: a scoping review
Authors: Ross Glen , Gilbey Andrew 
Published: October 2023

AbstractOver the next 20 years, it is predicted that an additional 760,000 new pilots will be needed to meet the growing demands of the global aviation industry. With current training capability, this may be difficult to achieve. A potential means of improving the efficiency and lowering the cost of flight training, which arguably may be prohibitively expensive to many potential trainee pilots, is to use extended reality simulation in place of traditional flight simulators and aircraft for at least some of the required training. To provide a better understanding of the possibilities in this regard, and where current research has advanced, a scoping review was undertaken. In total, 18 studies were identified as meeting the inclusion criteria. It was concluded that extended reality technology has the potential to be successfully employed in flight training—saving time and money, whilst also enabling increased training capability, although some potential limitations were identified. The interest in this technology, combined with evidence pointing to its potential usefulness in flight training, suggests that further examination in this area by academia and industry is warranted.
First report of Plasmodiophora brassicae in Lao People’s Democratic Republic
Authors: Vorlachith Viengvilay , Khanthilad Somchith , Phitsanoukane Phitsamay , Sengdala Khamphou , Chittarhat Khonesavane , Lyall Jillian , Tesoriero Len , Bailey Jordan , Forbes Wendy , Callaghan Sophia , Williams Adam , Burgess Lester 
Published: October 2023

AbstractCabbage production is promoted as a cash crop for small-land holders to support poverty alleviation on the Bolaven Plateau in Champasak Province, Lao People’s Democratic Republic (PDR). A stunted cabbage crop in Paksong was inspected due to a near total yield loss. Examination of the root systems revealed the presence of enlarged roots. Subsequently the disease was found in another round-head cabbage crop, and in a Chinese cabbage crop in a polyhouse. Air-dried clubroot specimens were forwarded to Australia where molecular methods confirmed the presence of Plasmodiophora brassicae. This is the first report of the obligate pathogen Plasmodiophora brassicae in the Lao PDR.