bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promoting work ability in breast cancer survivors: the moderated-mediation role of emotion regulation decreasing subjective cognitive impairment
Authors: Gómez-Molinero Rocío , Gómez-Molinero María P. , Utor Alejandro , Gil-Olarte Paloma , Jaén Javier , Baena-Cañada José Manuel , Guil Rocío 
Published: November 2022

AbstractPurpose:This study aimed to explore the role of emotion regulation and subjective cognitive impairment (SCI) in the work ability of breast cancer (BC) survivors.Methods:A total of 623 women, divided into two groups, BC survivors (N=43) and healthy controls (N=580), completed our online survey that included the Work Ability Index, the Trait-Meta-Mood Scale, and the Cognitive Function Scale of the European Organization for Research and Treatment of Cancer-Quality of Life. Descriptive statistical and moderated-mediation analyses were performed to explore the mechanisms by which emotion regulation influences the mediation role of SCI in the relationship between BC and WA.Results:Preliminary analysis showed that BC survivors had significantly lower WA levels [F(1,622)=207.64; p<.001] and higher emotion regulation [F(1,622)=4.58; p<.05] and SCI [F(1,622)=4.26; p<.05] that healthy controls. Moderated-mediation analysis indicated that SCI mediated the relationship between BC and WA (B=-11.81, p<.001). Besides, the negative effect that BC exerted on SCI was moderated by emotional regulation [R2=.09, F(1,619)=13.77, p<.05]. This effect was significant for BC patients with low (B=.68; p<.001) and adequate emotion regulation levels (B=.44; p<.001) but not for survivors with excellent emotion regulation skills (B=-.20; p>.05).Conclusions:High emotion regulation levels could reduce the negative impact of BC on WA by decreasing the SCI of BC survivors.Implications for Cancer Survivors:Emotion regulation training could be a valuable part of interventions aimed to enhance the WA of BC survivors due to its ability to reduce the subjective cognitive complaints of these patients.
A Feasibility and Safety Study of Afamelanotide in Acute Stroke Patients – An Open Label, Proof of Concept, Phase Iia Clinical Trial
Authors: Stanislaus Vimal , Kam Anthony , Murphy Lily , Wolgen Philippe , Walker Gill , Bilbao Pilar , Cloud Geoffrey 
Published: November 2022

Abstract
BACKGROUND
Neuroprotective agents have the potential to improve the outcomes of revascularisation therapies in acute ischemic stroke patients (AIS) and in those unable to receive revascularisation. Afamelanotide, a synthetic α-melanocyte stimulating hormone analogue, is a potential novel neuroprotective agent. We set out to assess the feasibility and safety of afamelanotide for the first time in AIS patients.
METHODS
AIS patients within 24 hours of onset, with perfusion abnormality on imaging (Tmax) and otherwise ineligible for revascularisation therapies were enrolled. Afamelanotide 16 mg implants were administered subcutaneously on Day 0 (D0, day of recruitment), D1 and repeated on D7 and D8, if not well recovered. Treatment emergent adverse events (TEAEs) and neurological assessments were recorded regularly up to D42. Magnetic resonance imaging (MRI) with FLAIR sequences were also performed on D3 and D9.
RESULTS
Six patients (5 women, median age 81, median NIHSS 6) were recruited. Two patients received 4 doses and four patients received 2. One patient (who received 2 doses), suffered a fatal recurrent stroke on D9 due to a known complete acute internal carotid artery occlusion, assessed as unrelated to the study drug. There were no other local or major systemic TEAEs recorded. In all surviving patients, the median NIHSS improved from 6 to 2 on D7. The median Tmax volume on D0 was 23 mL which was reduced to a FLAIR volume of 10 mL on D3 and 4 mL on D9.
CONCLUSIONS
Afamelanotide was well tolerated and safe in our small sample of AIS patients. It also appears to be associated with good recovery and radiological improvement of salvageable tissue which needs to be tested in randomized studies.
ClinicalTrials.gov Identifier: NCT04962503
Comparison between conservative and prophylactically concurrent meniscoplasty on the asymptomatic knee in children with bilateral DLM: a retrospective study
Authors: You Mingke , Li Pengcheng , Zhou Kai , Chen Gang , Li Jian 
Published: November 2022

Abstract
Purpose
This study aimed to compare clinical outcomes between concurrent meniscoplasty and conservative management on the asymptomatic side in children with bilateral discoid lateral meniscus (DLM) operated on the unilaterally symptomatic side.
Methods
Patients under 14 with unilaterally symptomatic bilateral DLM underwent arthroscopic meniscoplasty were eligible. Patients were divided into two groups: children underwent meniscoplasty on the symptomatic side, with the asymptomatic side conservatively treated (group1); Children underwent meniscoplasty on both the symptomatic and asymptomatic sides concurrently (group2). Functional outcomes were evaluated using the Lysholm score and Ikeuchi score. Survival analysis of the occurrence of symptoms was applied by Kaplan‒Meier model.
Results
A total of 50 patients were eligible. For the average Lysholm scores, groups 1 and 2 of the previously asymptomatic side were 90.86±8.25 and 92.62±8.68. The mean survival time was 9 years in group 1 and 5 years in group 2. The Kaplan‒Meier survival analysis of the occurrence of symptoms showed no statistically difference between two groups (p=0.162), and the terminal survival rates in the two groups were 86.2% and 81.0%, respectively.
Conclusion
Concurrent meniscoplasty on the asymptomatic DLM provided the same functions with the conservative treatment. Conservative group showed lower occurrence of symptoms and longer survival time.
Trial registration
The trial had been registered on the Chinese Clinical Trial Registry, with the number ChiCTR2000034577 on 10th July, 2022.
CLINICAL FEATURES OF FLT3 MUTATIONS IN ACUTE MYELOID LEUKEMIA CASES AND THE ROLE OF FLT3 INHIBITORS IN THE TREATMENT OF ACUTE MYELOID LEUKEMIA: A SINGLE CENTER EXPERIENCE
Authors: Acar İbrahim Halil , Dincyurek Hüseyin Derya , Sönmezler Özge , Yıldız Şule Menziletoğlu , Bisgin Atıl , Güvenç Birol 
Published: November 2022

Abstract
AML is an aggressive and mortal disease. Worldwide, approximately 120.000 new AML cases and over 100.000 AML-related deaths occur each year and FLT3 mutations contribute to poor prognosis in AML. FLT3 mutations of 149 patients aged 20-95 years who were diagnosed with AML in our clinic were evaluated retrospectively. Relapse/refractory disease was found in 87.2% of these cases and FLT3 mutation in 25.5%. Of mutation-positive cases 65.8% had FLT3-ITD mutation and 34.2% had FLT3-TKD mutation. In our study, 38 patients with newly diagnosed FLT3 mutations were treated with FLT3 inhibitors such as midostaurin, sorafenib, and sunitinib in combination with chemotherapy and 76.3% (n:29) of the patients with FLT3 mutation received midostaurin. Mortality rate was higher in those with FLT3-TKD mutation compared to those with FLT3-ITD mutation. The risk of mortality in patients who received midostaurin and chemotherapy was 2.0 times higher than the control group, which consisted mostly of relapsed/refractory patients who received only chemotherapy. The cumulative mortality rate in all patients was 66.4%, with a median OS of 44.8 months. Increasing age (HR: 1.03; p<0.001), presence of FLT3 mutation (HR: 1.82; p=0.007), presence of relapse/refractory disease (HR: 23.66; p=0.002) were associated with higher mortality. Mortality risk was low in patients with allogeneic stem cell transplantation (HR: 0.19; p<0.001). When the survival rate was analyzed according to FLT3 mutation, the presence of FLT3 mutation negatively affected survival (HR: 1.82).
In conclusion, our study is important as it has the highest number of patients in the efficacy analysis of FLT3 inhibitors in our region, as far as we know. The prognostic impact of FLT3-TKD mutations remains mysterious due to the low frequency. Further studies recruiting more patients may be useful to better understand the efficacy of FLT3 inhibitors in patients with FLT3-TKD mutations.
Identification of cucurbit fruit flies and their relative attractiveness to different cues and releasers
Authors: Chiluwal Kashinath , Shrestha Eni , Debkota Shilpa , Shrestha Kailash , Sigdel Sharad , Khanal Asmita , Basnet Resham Bahadur , Upadhyay Bijaya , Aryal Lok Nath 
Published: November 2022

AbstractTephritids are the major challenges for fruit and fleshy vegetable growers of the tropics and sub-tropics. Nepal also incurs huge losses of fruits and vegetables to the tephritids. This study was designed to identify the tephritid flies in Malepatan and Lumle of Gandaki Province. Bucket traps baited with methyl eugenol (ME) in Malepatan, and ME, cue lure (CL) and a mixture of ME and CL (ME + CL) with different releasers; tube, cotton and paper were installed at Lumle in 2020 summer. Three species of the fly (Bactrocera dorsalis,Bactrocera zonataandBactrocera correcta) were recorded from Malepatan, dominated byB. dorsalis. TheB. correctacount was negligible. While in Lumle,B. dorsaliswas the most dominant, followed byB. zonatatill July, after which, till August,B. taufollowed theB. dorsalis. Seven species of the tephritids (B. zonata,B. dorsalis,B. tau,B. diversa,B. scutellaris,B. correctaandB. cucurbitae) were recorded from this region. Among the releasers, paper releaser was found more effective as compared to cotton and tube. However, the lures should be changed in a short interval, by two weeks, to acquire a satisfactory result. This study unveils that the study site already inhabits seven species of fruit flies. So, the monitoring with different cues could be an effective tool for species actuation. Additionally, the paper releasers could be recommended for further use in the traps for monitoring and mass trapping purposes.
ICRICS: Iterative Compensation Recovery for Image Compressive Sensing
Authors: Li Honggui , Trocan Maria , Sawan Mohamad , Galayko Dimitri 
Published: November 2022

Abstract
Closed-loop architecture is widely utilized in automatic control systems and attains distinguished dynamic and static performance. However, classical compressive sensing systems employ an open-loop architecture with separated sampling and reconstruction units. Therefore, a method of iterative compensation recovery for image compressive sensing (ICRICS) is proposed by introducing a closed-loop framework into traditional compressive sensing systems. The proposed method depends on any existing approaches and upgrades their reconstruction performance by adding a negative feedback structure. Theoretical analysis of the negative feedback of compressive sensing systems is performed. An approximate mathematical proof of the effectiveness of the proposed method is also provided. Simulation experiments on more than 3 image datasets show that the proposed method is superior to 10 competing approaches in reconstruction performance. The maximum increment of the average peak signal-to-noise ratio is 4.36 dB, and the maximum increment of the average structural similarity is 0.034 based on one dataset. The proposed method based on a negative feedback mechanism can efficiently correct the recovery error in the existing image compressive sensing systems.
A Biomass Estimation Model for Nondestructive Estimation of Guava Tree Biomass
Authors: Ganeshamurthy Arkalgud , Rupa T. R. , Alivelu Karusala , Rajendiran S. , Reddy Aruna. B 
Published: November 2022

Abstract
The current method available for nondestructive estimation of tree biomass using diameter at breast height(DBH) is not applicable to fruit trees which are manipulated to branch at a very low height in case of grafted plants or air layered or cuttings generated plants. Therefore guava trees of commercial orchards require independent allometric equation for nondestructive estimation of tree biomass. Guava tree specific allometric equation was developed using destructive sampling using parameters other than DBH and compared with that equation developed for grafted mangos and sapota. The selected allometric parameters were significantly related with the age of the trees. The root to shoot ratio also differed from those reported for forest trees. The biomass expansion factor (BEF) by and large attained stability beyond 20 years of tree age. The equations so developed generally fitted the data well, and in most cases more than 50per cent of the observed variation in biomass was explained by primary branch girth (PBG) × number of primary branches (NPB). There was a good agreement between the observed and the predicted biomass using both multiple linear regression(MLR) and power model equations. Further a comparison was also made to see if mango and sapota equations can predict guava tree biomass. The results of this study confirmed that mango and sapota equations grossly underestimates guava tree biomass by about 50 per cent and hence mango or sapota tree allometric equation cannot be used for estimating guava tree biomass.
FAPI-Net: A Lightweight Interpretable Network Based on Feature Augmentation and Prototype Interpretation
Authors: Zhao Xiaoyang , Xu Xinzheng , Chen Hu , Gu Hansang , Li Zhongnian 
Published: November 2022

Abstract
Deep neural network models with higher performance generally have high amount of parameters and calculations and highly nonlinear structure. This also causes obstructs the understanding of the internal working mechanism of the deep neural network model and its deployment to smart terminals or embedded platforms, which hinders further promotion and application of the deep neural network models. Therefore, it is necessary to design a lightweight and interpretable deep neural network model. This paper first combined multi-scale depthwise and pointwise convolution to design a lightweight feature-map augmentation (FA) module and used residual connection to stack FA modules to design feature augmentation convolution blocks. Then, according to the idea of finding prototype samples, by measuring the maximum mean discrepancy distance between prototype data distribution and overall data distribution, the ILSVRC2012 original training set was pre-filtered, a representative prototype training set was selected. Then, the prototype dictionary interpretability (PDI) module was designed. During network training, the prototype dictionary was updated by minimising the Euclidean distance between the training samples and prototype samples in the prototype dictionary to realise the visualisation of model classification and reasoning. Finally, referring to the network architecture of MobileNetV3, using feature map augmentation convolutional blocks and a prototype dictionary interpretability module, a lightweight interpretable deep network model, FAPI-Net, was built. Experimental verification was carried out on two image classification datasets: CIFAR-10 and ILSVRC2012. The experimental results verified the effectiveness of the FA module, the interpretability of the PDI module and the FAPI-Net also performed well in image classification tasks.
Numerical study of coupled heat transfers through hollow structures exposed to a solar flux
Authors: Najjaoui Mourad , Ait-Taleb Thami , jamal Bouchaib , Abdelbaki Abdelhalim , Zrikem Zaki , chaib hassan 
Published: November 2022

Abstract
This work examines numerically, the heat transfer coupled by conduction, natural convection and radiation through hollow block subjected to real boundary conditions. A hollow block of this type is usually used for the construction of ceilings in buildings. The top horizontal face of this hollow block is exposed to an solar irradiance and exchange heat with the air ambient with a thermal transfer coefficient. While the lower face exchange heat with the indoor air with another thermal transfer coefficient. And an adiabatic vertical side is assumed. The discretization of partial differential equations governing and boundary conditions was done using the finite differences method and the SIMPLE algorithm. The effects of the solar irradiance and the emissivity of the internal cavity surfaces on the flow structures were examined. The results showed that the emissivity affect the heat transfer through the hollow block considerably. The solar flux alters significantly the flow structure and the thermal fields through the studied structure.
RSFIN: A Rule Search-based Fuzzy Inference Network for Performance Prediction of Configurable Software Systems
Authors: Li Yufei , Bao Liang , Huang Kaipeng , Wu Chase , Li Xinwei 
Published: November 2022

Abstract
Many modern software systems provide numerous configuration options to users and different configurations often lead to different performances. Due to the complex impact of a configuration on the system performance, users have to experimentally evaluate the performance for different configurations. However, it is practically infeasible to exhaust the almost infinite configuration space. To address this issue, various approaches have been proposed for performance prediction based on a limited number of configurations and corresponding performance measurements. Many of such efforts attempt to achieve a reasonable trade-off between experiment effort and prediction accuracy. In this paper, we propose a novel performance prediction model using a Rule Search-based Fuzzy Inference Network (RSFIN) based on ANFIS and NAS. One cognitive pattern is that, in systems, similar configurations produce similar performance. We experimentally validate this pattern based on data and introduce a configuration space under entropy. This view suggests the use of RSFIN to capture hidden distributions in configuration space. We implement and evaluate RSFIN using eleven real-world configurable software systems. Experimental results show that RSFIN achieves a better trade-off between measurement effort and prediction accuracy compared to other algorithms. In addition, the results also confirm that the evaluation of configuration space complexity based on data entropy is beneficial.
Giga Passive Optical Network GPON Based upon Fiber to the Home FTTH: Design, Implementation and Evaluation
Authors: Abdellaoui Zouhaira , Meddeb Houda , Dieudonne Yiyi 
Published: November 2022

Abstract
FTTH access network (Fiber to the Home), based on GPON: Giga Passive Optical Network technology is a technology that meets application performance requirements (high-speed access network, high bandwidth, Voice over Internet Protocol "VOIP, high-speed Internet"). In fact, telecom operators' networks use FTTH over GPON due to its reliability, flexibility and accuracy in handling advanced technologies. GPON is used to provide communication speeds of at least 1.2 Gbit/s. It handles 1.24 Gbps upstream and 2.44 Gbps downstream data transmission.
GPON is the basis for promoting innovative and prestigious services, which are being researched for residential and business customers due to broadband capacity.This paper deals with the design and implementation of FTTH networks based on GPON technology and the evaluation of the proposed architecture for residential and commercial solutions.
Structural Instabilities in Soft Electro-Magneto-Elastic Cylindrical Membranes
Authors: Mishra Awantika , Joshan Yadwinder Singh , Wahi Sajan Kumar , Santapuri Sushma 
Published: November 2022

Abstract
In the present work, a nonlinear coupled electro-magneto-elastic membrane formulation is developed for soft functional materials starting from the variational form of 3D governing equations. The resulting 2D model is applied to an internally pressurized cylindrical membrane placed in an azimuthal magnetic field and radial electric field. The results of our model are verified with existing literature for some special cases. The model is subsequently used to analyze mechanical and electrical limit-point instabilities, and the effect of external fields on the onset of these instabilities. It is observed that the onset of mechanical limit-point instability, defined by a loss of monotonicity in the pressure versus deformation plots, is dependent on the material properties, geometrical parameters and applied electromagnetic fields. Magnetic field induced instability results in an initial dip in the pressure versus stretch plots, subsequently converging to the purely hyperelastic membrane behavior at larger stretches. Application of electric field, on the other hand, results in an early onset of limit-point instability (i.e., at smaller stretches) compared to the hyperelastic case. Additionally, electrical limit-point instability, characterized by a loss of monotonicity in voltage versus stretch plots, is observed and its dependence on magnetic field and force inputs is studied. Finally, we study the effect of Maxwell stress due to electromagnetic fields. It is observed that ignoring the Maxwell stress related traction boundary term results in an error of up to 10\%, depending on the force and magnetic fields inputs. In summary, our membrane model describes the interactions between the electromagnetic fields and deformation in a soft functional material, and can be applied towards design of soft actuator and sensor devices.
Water reservoirs and the war in Ukraine: environmental problems
Authors: Ladyka Maryna , Starodubtsev Vladimir 
Published: November 2022

The aim of this article is to analyze the consequences of the military invasion of the Russian Federation on February 24, 2022 on the water bodies of Ukraine. In particular, this article presents an analysis of the consequences of military operations on reservoirs.
In order to prevent the enemy from reaching the dam of the Kyiv Reservoir and to protect Kyiv from the aggressor in late February-early March of this year, the sluice of the pumping station on the Kozarovychi Dam was blown up. Because, the possible destruction of this dam could have enormous destructive consequences for the entire cascade of reservoirs and the territories adjacent to them. As a result, a huge area of about 2,500 hectares of the Irpin’ floodplain was flooded, fundamentally changing both the military and the environmental situation.
Also, Russian troops launched a missile attack on the dam of the Karachuniv Reservoir near the Kryvyi Rih city. The water level in the Ingulets River rose sharply by 2 meters, flooding the territories near the river, including part of the Kryvyi Rih city. The ecological condition of this territory was significantly damaged, private buildings were heavily flooded. Water quality in this river has deteriorated, the content of nitrogen and other elements has increased in it. The Oskol Reservoir in the east of Ukraine was also destroyed. As a result of the leakage of a significant amount of water, the muddy bottom has been exposed to water and is subject to wind erosion. The hydrological regime of the coastal area has changed. Rare species of flora and young fish population have been lost.
Destruction of reservoirs and damage to the environment will continue until the war ends. And it is necessary to do everything possible so that it ends as soon as possible