bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Analysis of Efficient Exact and In-Exact reversible 4:2 Compressor using QCA
Authors: Seethur Rashmi , N Nithin , Karwa Raj 
Published: December 2022

Abstract
Quantum-dot cellular automata (QCA) is a pioneer alternative solution for conventional Complementary Metal Oxide Semiconductor (CMOS) technology limitation in upcoming years. The major technology limitations of conventional CMOS are power dissipation and scaling which can be surpassed by QCA. In QCA loss of information plays dominant role in the power dissipation of the system design. The issue of power consumption is addressed by designing the system using reversible logic. Multiplier and adders are the two important blocks present in applications such as multimedia and artificial intelligence. 4:2 compressor is one of the vital components of any multiplier design. In applications such as multimedia since human eye is not able to identify small changes, approximate 4:2 compressor has gained the highest significance. Designing in-accurate 4:2 compressor with minimum error distance and improved electrical performance is highly demanded. In this paper a novel reversible inexact 4:2 compressor design is presented. The proposed design is based on majority-3 and majority-5 gates. The new compressor advances the existing design in terms of error distance in Carry out. The simulations were carried out in QCA Designer. The design exhibits the improvements in optimization parameters such as cell count and garbage output.
Effects of Alt-RAMEC protocol with Facemask therapy in cleft lip palate patients in a sample of Pakistani population
Authors: Sami Qurrat-ul-ain , Ali Batool , Farooqui Waqas Ahmed 
Published: December 2022

Abstract
Objective: The objective of the study is to evaluate the skeletal, dentoalveolar and soft tissue changes before and after treatment with Alt-RAMEC protocol and protraction headgear in comparison to the controls.
Material and Methods: A quasi experimental study was conducted in orthodontic department on 60 patients of cleft lip and palate. These patients were divided into two groups. Group I was the treatment group that underwent Alt-RAMEC protocol followed by facemask therapy while group II was the control group that underwent RME followed by facemask therapy. Total treatment time in both groups was 6 -7months. Mean and standard deviation was calculated for all the quantitative variables. Pre and post treatment changes between treatment and control groups were made using paired t-test. Intergroup comparison between treatment and control group was analyzed using independent t-test. Significance for all tests was predetermined at a P-value of ≤ 0.05
Results: Treatment group showed significant forward movement of maxilla and improvement in the maxillary base. Remarkable improvement in SNA was seen. The overall result was better maxillo-mandibular relationship as shown by positive ANB values and angle of convexity. More effect on maxilla and least effect on mandible was notified with Alt-RAMEC protocol and facemask therapy. Improvement in transverse relationship was also evident in the treatment group.
Conclusion: Alt-RAMEC protocol in combination with protraction headgear is a better alternative to treat cleft lip and palate patient in comparison to the conventional protocol.
WITHDRAWN: CVDPF: A Hybrid Feature Selection Method with Data-Driven Approach for Cardiovascular Disease Prediction Framework using Machine Learning
Authors: Shilpa Thoutireddy , paul anal 
Published: December 2022

Abstract
Cardiovascular diseases (CVDs), a group of blood vessels and heart disorders, are the leading cause of death across the globe. Technological innovations in terms of machine learning (ML) and Artificial Intelligence (AI) are widely used to solve problems in the real world. Many existing ML-based supervised learning approaches have their utility in realizing the Clinical Decision Support System (CDSS) for the automatic detection of CVDs. However, the problem with such models is that their performance deteriorates unless there is high quality in the training data. To overcome this problem, many feature selection algorithms came into existence. Nevertheless, there is a need for making hybrid approaches in feature selection towards leveraging training quality leading to enhanced prediction performance. We propose a CVD Prediction Framework (CVDPF) framework based on ML techniques in this work. In addition, we proposed a Hybrid Feature Selection (HFS) algorithm for dimensionality reduction. This algorithm combines multiple filter methods for more efficient feature selection. Another algorithm known as ML-based Cardiovascular Disease Prediction(ML-CVDP) is proposed to have a pipeline of ML models that exploit the Hybrid Feature Selection algorithm to improve accuracy in CVDs prediction. A CVD dataset is used to evaluate the proposed framework and algorithms. The empirical results showed that HFS with CVDPF outperforms existing feature selection algorithms.
A universal and improved mutation strategy for iterative wavefront shaping
Authors: Liu Hui , Zhu Xiangyu , Zhang Xiaoxue , Liao Yongquan , Chen Xudong , Lin Zhili 
Published: December 2022

Abstract
Recent advances in iterative wavefront shaping (WFS) techniques have made it possible to manipulate the light focusing and transport in scattering media. To improve the optimization performance, various optimization algorithms and improved strategies have been utilized. Here, a novel guided mutation (GM) strategy is proposed to improve optimization efficiency for iterative WFS. For both phase modulation and binary amplitude modulation, considerable improvements in optimization effect and rate have been obtained using multiple GM-enhanced algorithms. Because of its improvements and universality, GM will be beneficial for applications ranging from controlling the transmission of light through disordered media to optical manipulation behind them.
Predicting resting energy expenditure: a critical appraisal
Authors: Westerterp Klaas 
Published: December 2022

Abstract
Background The most commonly used prediction models for resting energy expenditure (REE) are Harris-Benedict (1919), Schofield (1985), Owen (1986), and Mifflin-St Jeor (1990), based on height, weight, age and gender, and Cunningham (1991), based on body composition. Methods Here, the five models are compared with reference data, consisting of individual REE measurements (n = 353) from 14 studies, covering a large range of participant characteristics. Results For white adults, prediction of REE with the Harris-Benedict model approached measured REE most, with estimates within 10% for more than 70% of the reference population. For some ethnicities like South Asian Indians or participants with an exceptional high physical activity level like athletes, measurement of body composition is recommended, using a fat-free mass based model. Discussion Sources of differences between measured and predicted REE include measurement validity and measurement conditions. Importantly, a 12- to 14-h overnight fast may not be sufficient to reach post-absorptive conditions and may explain differences between predicted REE and measured REE. In both cases complete fasting REE may not have been achieved, especially in participants with high energy intake. Conclusion In white adults, measured resting energy expenditure was closest to predicted values with the classic Harris-Benedict model. Suggestions for improving resting energy expenditure measurements, as well as prediction models, include the definition of post-absorptive conditions, representing complete fasting conditions with respiratory exchange ratio as indicator.
WITHDRAWN: Activation of the spontaneous brain and functional connectivity in patients with and without cognition impairment in coronary heart disease
Authors: sun zhaolei , chu tongpeng , liu wanchen , bi zhaojun , guo yuanqiao , sun mengna , mao ning , liu jing , xie haizhu , ma heng 
Published: December 2022

Abstract
Background/Aims: Patients with coronary heart disease (CHD) have a higher risk of developing cognitive impairment (CI) and dementia. The purpose of this study was to investigate changes in spontaneous brain activity and functional connectivity (FC) of resting-state functional magnetic resonance imaging (rs-fMRI) in patients with and without CI in CHD patients. This will allow early diagnosis of cognitive impairment by detecting the relationships between these parameters and CI.
Materials and methods: A total of 46 CHD patients with cognitive impairment (CHD-CI), 40 CHD patients with normal cognition (CHD-NC), and 43 healthy controls (HCs) participated in the study. Each subject underwent an rs-fMRI examination and neuropsychological assessment. CHD-CI and CHD-NC patients, as well as healthy controls, were compared for regional homogeneity (ReHo) and seed-based FC. Further investigation was performed on the relationship between rs-fMRI data and cognitive performance.
Results: The bilateral SFGmed revealed a decrease in ReHo values in both CHD-CI and CHD-NC patients. The CHD-CI group illustrated decreased FC between the bilateral SFGmed and left MGT/left IGT. Furthermore, the ReHo and FC values were related to cognitive test score in CHD patients with CI. The duration of the CHD and the cognitive test score correlated positively with decreased ReHo/FC values in CHD-CI patients.
Conclusion: In our combined analyses, we found decreased spontaneous activity and FC primarily within the default mode network (DMN), which was correlated with specific cognitive impairment and a longer duration of impairment. As a result, this study sheds light on the neurophysiological mechanisms that contribute to cognitive impairment caused by CHD and may serve as a guideline for future clinical diagnoses.
Intergrated Analysis of the Prognostic and Immunological Role of an Oncogenic Protein Four Jointed Box 1(FJX1)
Authors: Huang Mei , Meng Yan , Ding Jian , Liu Side , Zhuang Kangmin 
Published: December 2022

Abstract
Background
Four jointed box 1(FJX1) has been reported to be up-regulated in many cancers, and has indicated the important role in oncology and immunity. In order to further explore the biological function of FJX1 and find a new immunotherapy targets for cancers, we performed a pan-cancer analysis of FJX1.
Methods
We used Genotype-Tissue Expression(GTEx), The Cancer Genome Atlas(TCGA), cBioPorta, Immune Cell Abundance Identifier(ImmuCellAI), The Tumor Immune Estimation Resource version2(TIMER2), IMvigor210CoreBiologies and Genomics For Drug Sensitivity In Cancer(GDSC) to explored the potential carcinogenesis and immunological role of FJX1. The FJX1 expression profiles, prognostic value, mutation status, immune cell infiltration, immune-related genes, immunosuppressive pathway-related genes, immunotherapy effect and the IC50 related to FJX1 were analyzed. Cell proliferation assay, transwell migration assay and wound healing assay were conducted in colon cancer cells.
Results
The results demonstrated that FJX1 was highly expressed in most cancers and was significantly associated with poor prognosis. FJX1 expression were significantly correlated with CNA, DNA methylation, TMB and MSI in various cancers. Tumor associated macrophages (TAMs) was positively correlated with FJX1 in several tumors. Immune-related genes including TGFB1, IL-10, and immunosuppressive pathway-related genes including TGFB1 and WNT1 were positively related to FJX1 expression in most cancers. Moreover, High FJX1 expression could also reduce the efficacy of immunotherapy and contribute to drug resistance. Knocking down FJX1 could inhibit proliferation and migration in colon cancer cells.
Conclusion
Our study confirmed that FJX1 is an oncogene, a potential novel prognostic biomarker and a new immunotherapy target in pan-cancer.
Identification of Salinization Processes in Coastal Aquifers Using a Fuzzy Logic and Data Mining Based Methodology. Study Case of Mediterranian Coastal Aquifer (Spain)
Authors: Renau-Pruñonosa Arianna , Esteller Mª Vicenta , Aroba Javier , Grande José Antonio , Morell Ignacio , Torre Mª Luisa de la , García-Menéndez Olga , Ballesteros Bruno J 
Published: December 2022

Abstract

In coastal aquifers, the seawater intrusion can mask the effects of high salinity regional flows, connate waters mobilization or contaminant process. Therefore, to discriminate between all the processes that have taken place in the coastal aquifer, is a complex task. Normally, traditional hydrogeochemical methods (e.g., Piper and Durov) together with statistical multivariate techniques (e.g., cluster and factorial analysis) and other methods (e.g., ionic deltas and isotopic studies) have been used to understand the hydrogeochemistry of aquifers and to confirm previous hypothesis.
This paper presents a characterization of the salinization process in coastal aquifers, by means a fuzzy logic and data mining based methodology, which has not been used before for this purpose in this environmental area. The proposed fuzzy methodology is based on the use of the data mining computer tool Predictive Fuzzy Rules Generator (PreFuRGe).
The results have been obtained by processing groundwater samples analyses with PreFuRGe. The parameters used for the experimentation have been: temperature, electric conductivity, redox potential, total dissolved solids, silicon dioxide, oxidability, major ions (chloride, sulfate, bicarbonate, nitrate, calcium, magnesium, sodium and potassium), and minor ions (arsenic, bromide, lithium, boron, strontium, chromium and fluoride).
The application of this method has made it possible to differentiate several overlapping hydrogeochemical processes, such as seawater intrusion, the entry of regional groundwater flows with high concentrations of strontium, magnesium, lithium and sulfates, and the effect of contamination from agricultural activities, with the presence of nitrates.
The qualitative obtained results in this paper have been compared to previous researches carried out in the same environmental area, and it is proved that the used fuzzy methodology is a powerful tool for discriminating between overlapping geogenic and anthropogenic processes in coastal aquifers.
Ray tracing optimization: a new method for intraocular lens power calculation in regular and irregular corneas
Authors: Pérez-Merino Pablo , Aramberri Jaime , Quintero Andres Vásquez , Rozema Jos J. 
Published: December 2022

Abstract
To develop a novel algorithm based on ray tracing, simulated visual performance and through-focus optimization for an accurate intraocular lens (IOL) power calculation. Custom-developed algorithms for ray tracing optimization (RTO) were used to combine the natural corneal higher-order aberrations (HOAs) with multiple sphero-cylindrical corrections in 210 higher order statistical eye models for developing keratoconus. The magnitude of defocus and astigmatism producing the maximum Visual Strehl was considered as the optimal sphero-cylindrical target for IOL power calculation. Corneal astigmatism and the RMS HOAs ranged from − 0.64 ± 0.35D and 0.10 ± 0.04 µm (0-months) to -3.15 ± 1.38D and 0.82 ± 0.47 µm (120-months). Defocus and astigmatism target was close to neutral for eyes with low amount of HOAs (0 and 12-months), where 91.66% of eyes agreed within ± 0.50D in IOL power calculation (RTO vs. SRK/T). However, corneas with higher amounts of HOAs presented greater visual improvement with an optimized target. In these eyes (24- to 120-months), only 18.05% of eyes agreed within ± 0.50D (RTO vs. SRK/T). The power difference exceeded 3D in 42.2% while the cylinder required adjustments larger than 3D in 18.4% of the cases. Certain amounts of lower and HOAs may interact favourably to improve visual performance, shifting therefore the refractive target for IOL power calculation.
Welfare Effects of Commodity Taxation
Authors: Helmedag Fritz 
Published: December 2022

Abstract
In reality firms most often face negatively sloped demand curves. Then, for a given level of consumers’ surplus, levies on prices yield higher fiscal revenues than specific duties. Therefore, according to the prevailing view, the switch from unit to ad valorem taxation is supposed to generate more welfare; some even speak of an associated Pareto-improvement. However, this is not true because taxing prices merely transfers profits to the Treasury, while total rent remains unaffected. Since excise duties diminish the welfare gain in comparison with untaxed trade, an appropriately designed profit tax allows all parties to benefit. Sales should be taxed only exceptionally.
Hemispheric asymmetry in the sunspot cycle as a nonextensive phenomenon
Authors: Batista Leonardo F. G. , Santiago Thiago M. , Filho Paulo C. F. da Silva , Silva Cleo V. , de Freitas Daniel Brito 
Published: December 2022

Abstract
The appearance of dark sunspots over the solar photosphere is not considered to be symmetric between the northern and southern hemispheres. Among the different conclusions obtained by several authors, we can point out that the North-South asymmetry is a real and systematic phenomenon and is not due to random variability. In the present work, we selected the sunspot area data of a sample of 13 solar cycles divided by hemisphere extracted from the Marshall Space Flight Centre (MSFC) database to investigate the behavior of probability distributions using an out-of-equilibrium statistical model a.k.a non-extensive statistical mechanics. Based on this statistical framework, we obtained that the non-extensive entropic parameter q has a semi-sinusoidal variation with a period of ∼22 year (Hale cycle). Among the most important results, we can highlight that the asymmetry index q(A) revealed the dominance of the northern hemisphere against the southern one. Thus, we concluded that the parameter q(A) can be considered an effective measure for diagnosing long-term variations of the solar dynamo. Finally, our study opens a new approach to investigating solar variability from the nonextensive perspective.
Effectiveness of the Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders in Online and Group format in Argentina: study protocol for a randomized controlled trial
Authors: Celleri Milagros , Cremades Camila , Garay Cristian 
Published: December 2022

Abstract
Background
The Unified Protocol (UP) is a transdiagnostic intervention based on emotional regulation for the treatment of emotional disorders. Its application in individual and group formats has been studied worldwide, obtaining similar results to specific protocols but with a lower drop-out rate and improving the cost-benefit ratio, since a larger number of patients can benefit from it. Moreover, the inclusion of digital technologies in psychotherapy aims to improve the accessibility of treatments, especially since the pandemic of Covid-19 that forced the implementation of treatments through teletherapy increasing its use. To date, no studies have been carried out in Argentina on the application of the UP in a group format and through teletherapy. The aim of the present study is to evaluate the efficacy of the UP in a group format and through teletherapy in the argentine population.
Methods
A parallel-group, controlled, randomized trial, with a pre-post and repeated follow-up measures intergroup design will be conducted. 180 patients will be randomized to one of the following conditions: an online, group-based UP intervention or a waiting list. The Beck Depression Inventory II and the Beck Anxiety Inventory will be used to compare primary outcomes and the Beck Hopelessness Scale, Difficulties in Emotion Regulation Scale, Positive Affect and Negative Affect Scale, and Multicultural Quality of life Index will be administered for secondary outcomes at baseline, post-intervention, and 3 months follow-up. Ad-doc questionnaires will be used to assess patients' experiences and treatment satisfaction.
Discussion
The purpose of this trial is to evaluate the efficacy of the online and group application of the UP in the Argentine population, as well as to evaluate the patient's experience and satisfaction with the treatment. It is expected that the findings of this study will be useful in reducing anxious and depressive symptomatology, will allow us to adapt the UP to our culture, and will improve accessibility to treatment.
Trial registration:
ClinicalTrials.gov ID: NCT05275322 Registered on 11 March 2022,
Quality of Life after Lung Cancer Surgery: sublobar resection versus lobectomy
Authors: Jiang Shuai , Wang Bao , Zhang Mengzhe , Liu Zuo , Xiao Zengtuan , Gong Jialin , Wang Xiaofei , Zhang Zhenning , Zhang Zhenfa 
Published: December 2022

Abstract
Background
This study aimed to compare the postoperative quality of life (PQOL) between non–small–cell lung cancer (NSCLC) patients who underwent video–assisted thoracoscopic sublobar resection (subsegment, segment or wedge) and lobectomy. Meanwhile, we developed a PQOL scale for patients with NSCLC after optimization.
Methods
Developing and evaluating the postoperative quality of life scale of non–small–cell lung cancer (NSCLC–PQOL) followed by the international principles for the development of quality-of-life scale. Therefor we used NSCLC–PQOL scale to evaluate the PQOL of patients who underwent different kinds of surgeries.
Results
The sublobar resection group showed better PQOL in chest tightness, breath shortness, breathlessness, cough and expectoration than the lobectomy group, and the differences were statistically significant (P < 0.05). But there was no statistically significant difference in pain during the postoperative period between the two groups. The final version of the NSCLC–PQOL contained three dimensions: “signs–symptoms”, “psychological and psychiatric”, and “social–life” dimensions.
Conclusion
The sublobar resection group showed better PQOL in “chest tightness”, “breath shortness”, “breathlessness”, “cough” and “expectoration” than the lobectomy group. 22 items formed a well–behaved PQOL scale after being validated satisfactorily. The scale was a suitable rating tool for evaluating NSCLC–PQOL of patients.
On-surface Ullmann coupling of halo-derivatives of arenes: Monte Carlo simulations for tetracene
Authors: Lisiecki Jakub , Szabelski Paweł 
Published: December 2022

Abstract
On-surface synthesis of C-C covalent low-dimensional nanomaterials is a promising method of obtaining structures with tailored and novel physicochemical and electric properties. In this contribution, the Monte Carlo simulation approach was proposed to predict the topology of metal-organic (MO) intermediates formed in the Ullmann homocoupling of halogenated isomers of tetracene. The coarse-grained model of polyaromatic hydrocarbons (PAH) haloderivatives and divalent copper adatoms on a metallic crystal surface (111) was used, where locations of substituents in the molecules were encoded as active centres with directional C-Cu interactions. The computations were performed for various structural isomers of tetracene, from disubstituted to tetrasubstituted units. As a result, diverse superstructures were obtained, such as dimers, trimers, and other oligomers, chains and ladders, and metal-organic networks, both chiral and achiral. Additionally, for the prochiral linkers, simulations of the racemic mixtures were performed. Our study provided useful insight into the influence of substituents’ position and the carbon backbone’s size on the topology of the modelled precursor architectures.