bluuebunny/crossref_metadata_2025 huggingface dataset:
RKR-GAT: Recurrent Knowledge-aware Recommendation with Graph Attention Network
Authors: Sun Qifeng , Wang Yaning , Gong Faming
Published: February 2024

Knowledge graph-based recommender systems have attracted increasing attention in recent years. By extracting the semantics of entities and relationships, these recommender systems enable a more comprehensive understanding of user preferences. However, existing methods overlook the impact of low-quality links in knowledge graphs, which leads to user preference propagation bias and affects recommendation accuracy. In this paper, we propose RKR-GAT, a recurrent knowledge-aware recommendation algorithm based on a graph attention network. Specifically, RKR-GAT integrates user-item interactions and the knowledge graph into a heterogeneous graph and learns node embeddings using a Graph Attention Network (GAT). To alleviate the effect of user preference propagation bias, we design a new path filtering module to reject low-quality connections and adaptively retain reasonable reasoning paths between users and items in the knowledge graph. Furthermore, RKR-GAT combines recurrent neural networks with a self-attention mechanism to efficiently analyze the semantics of the paths to generate more accurate recommendations while providing explainability. Ultimately, experimental results on three real-world datasets demonstrate the better performance of RKR-GAT compared to state-of-the-arts baselines.
Ratiometric Fluorescence/Chromogenic Probe for Trace Detection of Transition Metals
Authors: Saleem Muhammad , Khan Salah Uddin , Haider Sajjad , Hanif Muhammad , Rafiq Muhammad
Published: February 2024

The design and development of a fluorescence sensor aimed at detecting and quantifying trace amounts of toxic transition metal ions within environmental, biological, and aquatic samples has garnered significant attention from diagnostic and testing laboratories, driven by the imperative to mitigate the health risks associated with these contaminants. In this context, we present the utilization of a heterocyclic symmetrical Schiff Base derivative for the purpose of fluorogenic and chromogenic detection of Co2+, Cu2+ and Hg2+ ions. The characterization of the ligand involved a comprehensive array of techniques, including physical assessments, optical analyses, NMR, FT-IR, and Mass Spectrometric examinations. The mechanism of ligand-metal complexation was elucidated through the utilization of photophysical parameters and FT-IR spectroscopic analysis, both before and after the interaction between the ligand and the metal salt solution. The pronounced alterations observed in absorption and fluorescence spectra, along with the distinctive chromogenic changes, following treatment with Co2+, Cu2+ and Hg2+, affirm the successful formation of complexes between the ligands and the treated metal ions. Notably, the receptor's complexation response exhibited selectivity towards Co(II), Cu(II), and Hg(II), with no observed chromogenic changes, spectral variations, or band shifts for the various tested metal ions, including Na+, Ag+, Ni2+, Mn2+, Pd2+, Pb2+, Cd2+, Zn2+, Sn2+, Fe2+, Fe3+, Cr3+ and Al3+. This absence of interaction between these metal ions and the ligand could be attributed to their compact or inadequately conducive conduction bands for complexation with the ligand's structural composition. To quantify the sensor's efficacy, fluorescence titration spectra were employed to determine the detection limits for Co2+, Cu2+ and Hg2+, yielding values of 2.92 × 10− 8, 8.91 × 10− 8, and 4.39 × 10− 3 M, respectively. The 1:1 ligand-metal binding stoichiometry was determined by employing Job's plot through linear fitting analysis of absorption data. The Benesi-Hildebrand plots provided association constant values for the ligand-cobalt, ligand-copper, and ligand-mercury complexes as 0.74, 2.52, and 13.89 M− 1, respectively.
WITHDRAWN: Surface multi-spectral reflectivity and texture material recognition in non-constrained environments
Authors: Dhahri Ahmed , Amamou Ali , Faghihi Usef , Kelouwani Sousso , Boisclair Jonathan , Zeghmi Lotfi
Published: February 2024

Material recognition is the process of distinguishing various materials based on their inherent physical properties. It plays a pivotal role in numerous applications, including manufacturing, recycling, and robotic handling. Conventional recognition methods predominantly employ sensor-and vision-based approaches. However, these methods often face challenges such as the similarity and variability in material appearance, environmental conditions, and geometric constraints. In this research, we introduce a multimodal, vision-based, attention-driven model for material recognition. Contrary to preceding texture-based and multi-spectral based methods, our approach harnesses both the texture and light reflection distribution characteristics intrinsic to material surfaces. The proposed method features a collocated system that combines depth, RGB, and near-infrared (Near-IR) cameras, along with infrared laser projector. This specific setup was selected to capture reflection distribution and texture across the visible-near-infrared spectrum. Subsequently, the data captured by this setup were processed by a recognition model within a fusion framework. Our results outperform previous methods in terms of accuracy when additional modalities (Depth, Near-IR, laser projectors) are available, while also exhibiting equivalent performance to top RGB-based models when solely reliant on RGB data. Thus, proving the complementarity of the added modalities with visible information.
Heat load index during heat waves as an indicator of thermal comfort of Hereford heifers with access to natural shade on native grasslands
Authors: Saravia C. , vanLier E. , Munka C. , Bentancur O. , Iribarne R. , Rodríguez-Palma R. , Astigarraga L.
Published: February 2024

The quantification of the environmental conditions to predict the effect of extreme events (heat waves: HW), is important in animal welfare and performance. The aim of this study was to evaluate the impact of the meteorological environment on physiological and productive variables on heifers, either with or without access to natural shade on rangelands, using the Heat Load Index (HLI), a biometeorological index that allows the comparison between environments. The experiment was carried out at Estación Experimental de la Facultad de Agronomía en Salto, Uruguay, during two summers (Year 1, Year 2). The treatments were voluntary access to natural shade (Shade) and full sun (Sun). Three HW: Severe, Strong, Mild and a not HW (NHW) occurred in Year 1, but only the latter in Year 2. The HLI categories warm and very warm (HLI ≥ 77.1) daily hours percentages were 68 and 67 during Severe HW, 56 and 49 in Strong + Mild HW, 48 and 38 in NHW in Year 1 and 12 and 4 in NHW in Year 2, in the Sun and Shade treatment, respectively. During Severe and Strong HW, the Shade was not beneficial because the animal experimented thermoneutrality only for a few hours. During Mild HW and NHW, the HLI in the Shade was mainly thermoneutral and temperate, which would explain the higher animal weight gain, compared to the Sun. In Year 2, the predominant conditions were thermoneutral, with heifers maintaining normothermia during a major part of the day in both treatments, resulting in similar weight gain.
Pantaneiro stallions: did the environment influence seminal traits and testicular biometry?
Authors: Ribas José Antonio Silva , Rua Miguel Alejandro Silva , Silva José Frederico Straggiotti , Cunha Isabel Candida Nunes , Quirino Celia Raquel
Published: February 2024

The aim of this present study was to evaluate the testis biometry and seminal characteristicsof the Pantaneiro horse breed in two season of year. Th experiment was performed in Pantanal region of Brazil, with evaluation of seven Pantaneiro stallions aged from 4 to 12 years and raised in extensive system. Testis traits and semen of the stallions were collected during the rainy season (RS - April) and dry season (DS - October).Seminalvolume, sperm concentration, total number of spermatozoa (TNSTZ), motility, vigor, sperm major defects, sperm total defects, hypoosmotic swelling test, trypan blues test and pH were evaluated. The right and left testicular (RTL and LTL), the right and left testicular height (RTH and LTH) and the right and left testicular width (RTW and LTW) were measured and testicle volume (TV) was calculated. Statistical analysis was performed to verify the effect of season on testis biometry traits and semen traits.Correlations of all characteristics were calculated.There was effect of season on TNSTZ and sperm major defects. All others war not different between RS and DS. The testicular volume means was 179.4 ± 8.6 cm3. There was no effect of season on testicular biometry traits.High and medium correlations were observed among testis length (TL), testis width (TW), TV with TNSTZ. Motility had high correlation with hypoosmotic test. High magnitude correlation was also observed between hypoosmotic test and intact membrane on trypan blue test. It suggests that the integrity of the membrane is essential for a good function of the kinetic of the spermatozoa.The results showed that the Pantaneiro stallions is adapted to the specific tropical environment and not presenting reproductive seasonality, being able to have your semen collected during the entire year without affect its quality also without testicular variation. Furthermore,the testicular length, width and testis volume showed highly representative as a criterion to selection of Pantaneiro stallions to reproduction.
A Novel Hybrid Classifier Model for Leukemia Prediction Using Machine Learning Techniques
Authors: K Dhana Shree
Published: February 2024

Cancer is known as the second crucial disease that causes the highest cause of mortality across the world. Earlier and accurate cancer prediction with the automated design of a clinical decision support system helps the physicians control the mortality risk and therapeutic intervention. Machine Learning (ML) based prediction approaches are used to identify the appropriate values for cancer prediction. Also, optimization is an essential factor to endeavour proper decision making. A novel convolutional non-influencing feature rejection (CNI-FR) classifier model is utilized to enhance the classifiers' prediction accuracy. In the case of gene analysis, all the features are not highly solicited, and ML provides various approaches for feature selection and classification. It is dependent on the provided input data and its feature distribution. Thus, both feature analysis and classification are required for efficient classification. The primary research objective is to optimize the learning parameters like rejection rate for appropriate cancer prediction of conventional parameters. Here, feature analysis is performed, and the rejection threshold is set for these feature analysis to examine the cancer prediction robustly. Here, various online available cancer dataset is taken, and the proposed classifier model is executed. The outcomes reveal the performance of the anticipated model with other ML classifiers. The predictions based on the proposed model specify that the ML algorithm with its dependencies is suitable for appropriate cancer prediction.
RETRACTED: Comparison of aroma profiles and identification of significant compounds of organic and conventional white wines
Authors: BAJER Tomáš , ŠMEJDA Pavel , KUBÁLEKOVÁ Jana , BAJEROVÁ Petra
Published: February 2024

The authors have requested that this preprint be removed from Research Square.
Physical Properties of the Nano-Crystaline Spin-Coated Zinc Oxide Thin Film
Authors: Khanali Omid , Nekouee Khanali
Published: February 2024

In this study, Zinc oxide thin films have been synthesized using dehydration from various precursors. In ethanol and mono-ethanolamine, zinc acetate (I) and zinc nitrate (II) were dissolved. Following that, glass substrates were coated with this solution using the sol-gel spin coating method (3000 rpm for 10 s), and for making zinc oxide thin films were heated at 250°C. This process was done five times to make the films thicker (and allow them to form five layers on the substrate), and then they were annealed at 450°C. zinc oxide thin films derived from zinc acetates (I) are almost transparent in visible light in comparison zinc nitrates (II) product. The highest energy gap (3.3ev) and crystal size (74nm) were also achieved in zinc acetates (I) products. The presence of various vibration modes in the prepared samples was also revealed by Raman spectroscopy (RS) of the annealed films. The presence of concentrated stresses within the coated films is also determined using RS, and verify the scanning electron microscopy results the Raman peaks of E2 is confirmed by FE-SEM images.
Exploring the Electronic Structure of Knotted Proteins: The Case of Two Ornithine Transcarbamylase Family
Authors: Silva Jose Cicero Alves , Grillo Igor Barden , Urquiza-Carvalho Gabriel A. , Rocha Gerd Bruno
Published: February 2024

Geometrical knots are rare structural arrangements in proteins in which the polypeptide chain ties itself into a knot, which is very intriguing due to the uncertainty of their impact on the protein properties. Presently, classical molecular dynamics is the most employed technique in the few studies found on this topic, which means that any information on how the presence of knots affects the reactivity and electronic properties of proteins is even scarcer. Thus, using the new software, PRIMoRDiA, developed by our group to explore the electronic structure of biological macromolecules, we evaluated several local quantum chemical descriptors to unveil relevant patterns potentially originating from the presence of the geometrical knot in two proteins, as a case of study. We compared several sampled structures from two enzymes that are highly similar in both tertiary structure and function, but one of them has a knot whereas the other does not. We found that the same amino-acid residues in the knot core have statistically larger values for the unknotted protein, for both hard-hard and soft-soft interaction descriptors. Additionally, we explored the variation in several reactivity and other quantum chemical properties calculated from a set of snapshot structures of whole proteins. We present a computationally feasible protocol that combines structures sampled from nanoscale molecular dynamics trajectories, semiempirical calculations of the entire protein atom set and the use of our software PRIMoRDiA to compute molecular quantum chemical descriptors. From this protocol we showed that the is possible to separate the contribution of the geometrical knot to the reactivity and other electronic structure properties.
Effects of High Hydrostatic Pressure on the Spectral and Temporal Characteristics of Fluorescence of Photosystem II Core Complex of Thermosthicus Vulcanus
Authors: Sipka Gábor , Timpmann Kõu , Kangur Liina , Han Wenhui , Li Xingyue , Han Guangye , Shen Jian-Ren , Lambrev Petar H. , Garab Győző , Freiberg Arvi
Published: February 2024

Recent steady-state and time-resolved spectroscopy investigations have revealed that Photosystem II core complexes (PSII CCs) are capable of undergoing marked light-induced structural reorganizations even upon the formation of stable charge separation state PSIIC. These reversible changes observed at physiological and cryogenic temperatures lead to the gradual formation of light adapted charge-separated state PSIIL. It has been proposed that the underlying physical mechanisms involve complex dielectric relaxation processes due to the generation of stationary and transient electric fields, in which structural rigidity and flexibility of the related protein complexes play equally important roles. In order to gain further insights into the nature of structural dynamics of PSII, here, the response of the chlorophyll-a transient fluorescence in PSII CC prepared from Thermosthicus vulcanus was studied at 78 K under high hydrostatic pressures applied either at room temperature or at 78 K. PSII CC exhibits remarkable flexibility against high hydrostatic pressures up to 12 kbar and cryogenic temperatures down to 78 K, as evidenced by the fair shape overlap between the initial fluorescence spectrum at ambient conditions and the final fluorescence spectra recorded under various pressure-temperature treatments. This observed reversibility further implies that the variations in these parameters do not significantly disrupt the pigment binding pockets within PSII CC. However, as is typical of glassy protein samples, the pressure-induced spectral and kinetic effects were contingent on the sample's treatment history. These effects, such as bathochromic shifts and broadenings of the spectra, were not only quantitatively greater, but also qualitatively different, such as the disruption of antenna energy transfer pathways or inhibition of the induction of variable chlorophyll fluorescence when pressure was applied at ambient temperature compared to 78 K. The relatively modest spectral shift rates, not exceeding about − 20 cm⁻¹/kbar, further suggest the absence of strongly coupled chlorophyll units significantly contributing to PSII CC fluorescence.
The pattern of presentation, management and outcome of breast cancer patients at a tertiary health facility in Sierra Leone
Authors: -John Constance Cummings , Bah Abdulai Jawo , Smalle Isaac Olufemi , Duduyemi Babatunde , Ogundiran Temidayo
Published: February 2024

Background
Breast cancer is the leading cause of cancer among women globally and the most common cancer amongst women in Sierra Leone. The aim of this study was to evaluate the patterns of clinical presentation, management and outcome among breast cancer patients who presented at the Connaught Teaching Hospital Complex in Sierra Leone.
Method
A retrospective, cross-sectional study was conducted at the specialist outpatient clinic at the Connaught Hospital. The medical records of 253 breast cancer patients were selected through a convenience sampling based on completeness of their data from 2018 to 2021. Patient's socio-demographic, obstetrics-gynaecological history, clinic-pathological characteristics, treatment modalities and outcomes were analysed by SPSS version 24.
Results
Of the 253 breast cancer patients, 246 (97.2%) were female and the mean age of the patients was 47±14 years. The mean age at menarche was 12±3 years and 35 (13.8%) of patients had a family history of breast cancer. The left breast 130 (51.2%) was the most commonly affected; about 119 (47%) of patients presented with stage III B and 35 (13.8%) with metastasis at presentation. With regards to treatment modalities, a combination of surgery, chemotherapy, and hormonal were provided to the patients, with 25.2 (48%) mastectomies,
98 (20.5%) hormonal therapy, 35 (7.3%) palliative care and about 8 (15.2%) refused treatment. The outcomes of breast cancer patients showed the highest mortality was in 2019, 19 (32.8%) and the least was in 2018, 10 (27.8%).
Conclusion
Our study showed that over half of our patients presented in advanced stage and mastectomy was the most common modality of treatment. There is a need to promote public health awareness on early presentation to improve patient’s outcome.
Pediatric Head Injury/trauma Algorithm to Reduce Computed Tomography, Overcrowding, Length of Stay in Emergency Department
Authors: Savioli Gabriele , Ceresa Iride Francesca , piccioni Andrea , Longhitano Yaroslava , Manzoni Federica , Voza Antonio , Esposito Ciro , Balzanelli Mario Giosuè , Ricevuti Giovanni , Zanza Christian , Bellou Abdelouahab
Published: February 2024

Background: Children with traumatic head injury are often carried from community to an Emergency Departments (ED) equipped with neurosurgery and pediatric medicine.
The aims of this study is to evaluate the application of the PECARN TBI algorithm in the real life of our Emergency Department in all children who arrived for head trauma consecutively from 1 January 2016 to 31 December 2019 to decrease the number of head CT among pediatric patients. The secondary objective was to evaluate the impact of adhesion to this protocol on the crowding, length of stay and boarding time in the Emergency Department.
Methods: We conducted a retrospective study of children aged ≤15 years who were managed in our ED for mild traumatic brain injury (TBI) from 1 January 2016 to 31 December 2019. Data collected included anamnesis, signs and symptoms, demographics, outcomes, times of the ED processes, main symptom complained, the causal factors, and the outcomes of pediatric TBI, in term of intracranial injuries (ICI) and injuries requiring neurosurgery (NSI).
Results: A total of 1372 children with mild TBI were analyzed. The majority of patients were male (59.8%) and ≥ 2 years of age (63.2%). Most trauma (58%) caused by a home injury. Neurosurgical consultation (59.4%) was the most commonly interventions in the ED. Only 4.3% required neuroimaging and 7 children had hemorrhage, only 1 required immediate neurosurgical intervention. There were no re-entries for bleeding. The adoption of this protocol had no negative impact on crowding: protocol improve time processes.
Conclusions: The adoption of the PECARNE algorithm allowed a low volume of brain CT scan with good clinical outcomes and did not increase crowding.
Penetrating Cardiac Injury: A 20-Year Retrospective Analysis at a High-Complexity University Center
Authors: Wada Li Siyuan , Évora Paulo Roberto Barbosa , Giuliani Gabriel Bianco , Okarenski Giovane , Wada Danilo Tadao , Filho Adilson Scorzoni , Godinho Mauricio , Scarpelini Sandro , Rodrigues Alfredo José
Published: February 2024

Background:
The study examines penetrating cardiac trauma over 20 years, reflecting the prevalence of stab wounds and gunshot wounds in a specific regional context.
Methods:
A retrospective analysis of medical records and trauma database data, with a focus on survivors of penetrating cardiac trauma, excluding those deceased upon arrival.
Results:
Out of 1,093 cases, 25 had penetrating cardiac injuries with an overall mortality rate of 36%. Hemorrhage was the leading cause of death, and survival was correlated with higher systolic blood pressure upon admission and the level of consciousness.
Conclusions:
The study highlights the need for rapid intervention and emphasizes the importance of managing bleeding and supporting hemodynamics. It also points to areas for improvement in emergency care and the benefits of interdisciplinary collaboration.
An adaptive differential evolution algorithm driven by multiple probabilistic mutation strategies for influence maximization in social networks
Authors: Tang Jianxin , Du Qian , Qu Jitao , Li Yihui , Han Lihong
Published: February 2024

The influence maximization is regarded as one of the most pivotal concerns in social network analysis especially in the inevitable trend that more and more individuals are being involved into the global networked society. The purpose of the problem is to identify a set of influential nodes from the social network and activate them to maximize the expected number of influenced nodes at the end of the spreading process. Although some meta-heuristics based on swarm intelligence or biological evolution have been proposed to tackle this intractable problem, the exploration and exploitation operations need further investigated according to the iterative information of the evolutionary process. In this paper, an adaptive differential evolution algorithm driven by multiple probabilistic mutation strategies is proposed for the influence maximization problem. To provide more adequate seed set by utilizing the differential evolution, the mutation in the framework, consisted by three policies, namely particle swarm mutation strategy, differential mutation strategy, and perturbation strategy, is implied based on different probabilistic models. An adaptive local search strategy is presented to improve the local optimum based on a potential substitution pool consisting of structural hole nodes. Experimental results on six real-world social networks demonstrate that the proposed algorithm shows competitive performance in terms of both efficacy and efficiency when compared to the state-of-the-art algorithms.
Superstructure model for the simultaneous design and optimization of the PVSA process cycle
Authors: Pai Kasturi Nagesh , Haghpanah Reza , Edsall William
Published: February 2024

The performance of any adsorptive separation process depends on two factors: the adsorbent media and the PVSA process cycle. The pool of adsorbents for any separation has grown exponentially over the past decade with the advent of metal-organic chemistry. There are potentially multiple PVSA process cycle pathways that can be chosen for the gas separation. To achieve the full potential of a given adsorbent, the operating conditions of the process cycle need to be optimized; this is computationally challenging. Traditionally, the performance of a small set of user-defined PVSA process cycles is chosen for optimization. In this work, we present a superstructure model to simultaneously design and optimize the PVSA process cycle. To highlight the potential of such an approach, we present different case studies related to separating CO2 from a mixture of CO2 and N2 as it is a well-studied and currently relevant separation system. The superstructure model presented in the work covers over two dozen possible PVSA cycle configurations. The framework is also shown to be scalable for adsorbent evaluation by using novel optimization strategies to effectively search the large input search region.
Definition of mechanisms of viral protein multifunctionality reveals key roles of ‘conformer diversity’ and RNA interaction in forming host interfaces
Authors: Moseley Gregory , Rawlinson Stephen , Sethi Ashish , Chakraborty Shatabdi , Rozario Ashley , Zhao Tianyue , David Cassandra , Oksayan Sibil , Jans David , Ang Ching Seng , Lu Zhi Hui , Yan Fei , Williamson Nicholas , Bell Toby , Gooley Paul
Published: February 2024

Multifunctionality of viral genes is critical for processes in replication and modulation of infected cells. P gene of rabies virus generates the full-length protein, P1, and the truncated isoform, P3, which gains unique phenotypes lacking in P1, including interactions with multiple cellular membrane-less organelles (MLOs, liquid-liquid phase-separated (LLPS) structures), important to immune evasion. The gain-of-function by P3 proposes that multifunctionality of P isoforms is not merely due to their complement of independent modules, but is regulated by complex interactions of globular and intrinsically disordered regions (IDRs). However, the molecular basis of gain-of-function is unknown. Here we report biophysical and cellular analyses of P1 and P3, identifying a network of intra-protomer interactions involving the globular C-terminal domain and N-terminal IDRs, which differ between the isoforms. Mutagenesis of P3 identified substitutions causing gain- and loss-of-function for MLO interactions, associated with altered interactions of N- and C-terminal regions. Despite reduced MLO association of P1 and P3-loss-of-function mutants compared with wild-type P3, they retain capacity for LLPS in vitro, suggesting that specific inter-molecular interactions enable MLO targeting. P3 and P1 interact similarly with multiple MLO-associated proteins, but RNA binding is only observed for P3, and is enhanced or diminished by gain- and loss-of-function mutations, respectively. These data indicate that differences in interfaces formed between distant regions in P protein isoforms regulate protein-RNA interactions as a principal mechanism in the acquisition of unique functions/MLO interactions by P3, identifying a novel strategy in viral protein multifunctionality.
Distance-related functional reorganization predicts motor outcome in stroke patients
Authors: Hong Wenjun , Liu Zaixing , Zhang Xin , Li Ming , Yu Zhixuan , Wang Yuxin , Wang Minmin , Wu Yanan , Fang Shengjie , Yang Bo , Xu Rong , Zhao Zhiyong
Published: February 2024

Background Analyzing distance-dependent functional connectivity density (FCD) yield valuable insights into patterns of brain activity. Nevertheless, whether alterations of FCD in chronic stroke patients are associated with the anatomical distance between brain regions remains unclear. This study aimed to explore the distance-related functional reorganization in chronic stroke patients following left and right hemisphere subcortical lesions, and its relationship with clinical assessments.Methods In this study, we used resting-state fMRI to calculate distance-dependent (i.e., short- and long-range) FCD in 25 left subcortical stroke (LSS) patients, 22 right subcortical stroke (RSS) patients, and 39 well-matched healthy controls (HCs). Then, we compared FCD differences among the three groups and assessed the correlation between FCD alterations and paralyzed motor function using linear regression analysis.Results Our findings demonstrated that the left inferior frontal gyrus (IFG) displayed distance-independent FCD changes, while the bilateral supplementary motor area (SMA), cerebellum, and left middle occipital gyrus exhibited distance-dependent FCD alterations in two patient subgroups compared with HCs. Furthermore, we observed a positive correlation between increased FCD in the bilateral SMA and the motor function of lower limbs, and a negative correlation between increased FCD in the left IFG and the motor function of both upper and lower limbs across all stroke patients. These associations were validated by using a longitudinal dataset.Conclusions The FCD in the cerebral and cerebellar cortices shows distance-related changes in chronic stroke patients with motor dysfunction, which may serve as potential biomarkers for predicting motor outcomes after stroke. These findings enhance our comprehension of the neurobiological mechanisms driving chronic stroke.Trial registration All data for the present study were obtained from a research trial registered with the ClinicalTrials.gov database (NCT05648552, registered 05 December 2022).
Spatial adjustment in field trend for genotype by environment data analysis of Ethiopian malting barley breeding program
Authors: Dinsa Girma F. , Tadese Diriba
Published: February 2024

Food security is the top priority in agricultural policy agendas in Ethiopia, with the goal of feeding the second largest human population on the African continent. To realise this, employing efficient breeding methodologies for selecting stable and high-yielding crop varieties, thereby reducing the confounding effects of the environment and genotype-by-environment interactions for the ultimate deployment of robust new varieties, is a key component of food self-sufficiency. Here, we showed that the application of spatial adjustment to the MET data of a malting barley breeding program enhances selection efficiency and hence contributes to the effective selection of high-yielding varieties. The primary goal of plant breeding programs is to select genotypes for performance across the range of target populations and environments (TPEs) and to conduct multi-environment trials (METs) to aid in genotype selection across targeted locations and seasons. Understanding the pattern of response across these environments is an integral part of superior genotype selection in breeding programs. A set of MET data from the national variety trial series grown across four locations was obtained from the Ethiopian Malting Barley Breeding Program, spanning stages ranging from early generation to the national variety trial. The trials were analysed in a linear mixed model framework fitting a one-stage model for MET data, including a correlated spatial process for field trends within each trial and combining a factor analytic matrix model for genotype-by-environment interaction effects. The genetic correlations from this MET analysis were subsequently used to cluster the four locations based on different response patterns across environments. The stability of genotype performance across these environmental clusters indicated broad and specific adaptation to specific environments. Our analysis revealed that the Holker genotype had a higher average yield than did the other varieties, ranking first in half of the test locations.
Advancing Real-world Image Dehazing: A Comprehensive Dataset and Evaluation Metrics
Authors: Celona Luigi , Piccoli Flavio
Published: February 2024

The majority of dehazing techniques in the literature have been designed to learn from supervised datasets, which typically comprise pairs of images, one with haze and one without haze, to facilitate the learning process. These datasets often contain synthesized hazy images, either created by leveraging the theoretical model of haze creation, or by exploiting professional haze generation machines.
However, the lack of realism given by these generative processes has led to a limited capacity of dehazing techniques to effectively generalize on real-world images. Recently, a collection of real-world hazy image datasets has been collected, but with a reduced cardinality.
This study aims to address the aforementioned issues and introduce the Unpaired Real-world Hazy Image Dataset (URHID). It is a large-scale benchmark dataset containing 13,329 real-world hazy images scraped from the Internet. In addition, a total of eight state-of-the-art dehazing methods were chosen to assess the performance of URHID.
Given the lack of no-reference measures in the existing literature for evaluating the quality of unpaired dehazed images, this study aims to address this gap by proposing the Multi-Aspect Dehazed Image Quality Assessment (MADIQA) dataset. A collection of dehazed images annotated in terms of multiple quality-related aspects as well as overall quality. Furthermore, we develop multiple No-Reference Dehazed Image Quality Assessment (NR-DIQA) metrics. The proposed URHID and MADIQA datasets, as well as the proposed DIQA metrics are publicly available for research purposes at: https://celuigi.github.io/arid.github.io/.
O uso da modelização didática Situação Formativa na análise de Documentos Normativos em um projeto-piloto de Formação para professores não licenciados
Authors: Machado Adriano Silveira , Silva Maria Goretti de Vasconcelos
Published: February 2024

Esta investigação procurou estudar o processo de formação em serviço à distância para professores não licenciados e que atuam nas escolas de ensino médio profissionalizantes. Seu objetivo consistiu em identificar se a formação fornecida, com seus procedimentos e ações planejados forneceu ou não, elementos para a construção de uma práxis pedagógica baseada na intervenção e no trabalho docente na Educação Profissional, Científica e Tecnológica (EPCT).  Empregou-se a modelização didática Situação Formativa (SF) na análise de Documentos Normativos (DN) e a análise de conteúdo categorial temática, haja visto o emprego desta metodologia estar em consonância com o objetivo, com a problemática investigativa, com os procedimentos de coleta de dados, viabilizando que os mesmos ficassem perceptíveis e comensuráveis para o investigador, para pôr fim, torná-los passíveis de inferências. O estudo do problema permitiu apontar a eficácia e a relevância deste tipo de formação no desenvolvimento profissional, em ordem a achar caminhos e práticas pedagógicas que ancoraram condutas, estratégias e saberes pedagógicos favoráveis à formação profissional docente.
Literatura Negra na Escola: possibilidades para pensar gênero, raça e classe no ensino de ciências
Authors: Braga Ana Paula Fonseca , Silva Ivanderson Pereira da , Medeiros Neto Raimundo Alves
Published: February 2024

O presente estudo problematiza questões sobre aproximações entre literatura negra e o ensino de Ciências. Discute-se dessa forma à luz da Lei 10639 / 03 perspectivas para que a escola possa trabalhar no currículo escolar questões étnico- raciais. A partir dessa discussão temos como objetivo refletir sobre possibilidades de ensino a partir da relação entre literatura negra e Ciências vislumbrando aproximações entre a linguagem literária e cientifica. Ressalta-se ainda que são abordadas questões que destacam o atravessamento dos marcadores de gênero, raça e classe nos campos da literatura e Ciências. A investigação tem caráter qualitativo e foi desenvolvida através de pesquisa bibliográfica e analise de conteúdo de obras literárias escritas por intelectuais negras. Dessa forma, tomamos como ponto de partida reflexões a partir de obras de Carolina Maria de Jesus e Maya Angelou. O estudo contribuir para a construção de reflexões à cerca da relevância de se trabalhar na escola estratégias que avancem no sentido de relacionar literatura e Ciências. Nesse sentido, foi possível constatar que essa relação pode favorece a construção de uma imagem positiva por parte dos estudantes negros, visto que, a partir de referencias negras os mesmos podem perceber-se como futuros intelectuais e cientistas; a mudança de paradigmas passa pela construção de práticas pedagógicas que favoreçam estratégias de relação entre literatura e Ciências e por fim, que é urgente a construção de uma educação antirracista construída sobre bases de ensino que tencionem práticas eurocêntricas.
Audiometry: Methodology and Significance
Authors: Ovchinnikova Olga Alekseevna
Published: February 2024

The article is devoted to the current problem of millions of people with hearing impairments. The main content of the article is an introduction to the audiometry method and its significance. The text presents an audiogram of patients with conductive, sensorineural and mixed hearing loss. Examples of various deviations from the norm and some features of audiometry are given.
Features of preparing children of the seventh year of life for writing
Authors: Shchapova Evgeniia Vladislavovna , Galkina Irina Aleksandrovna
Published: February 2024

The article describes the process of mastering writing by children of senior preschool age
Features of wired communication of the fire system on special lines
Authors: Semenov Igor Vitalievich
Published: February 2024

Uninterrupted high-quality communication between the structural fire units is the key to successfully solving problems to ensure the safety of individuals and society from fires. The article discusses the features of wire communication carried out via special communication lines
HIGH-PERFORMANCE ALGORITHM FOR SOLVING LINKED LIST PROBLEMS USING FAST AND SLOW POINTERS TECHNIQUES
Authors: Nevskii Aleksei Aleksandrovich
Published: February 2024

This article discusses a combination of the fast and slow pointer method and other techniques in the high-level programming language Java to effectively solve popular algorithmic linked list problems. The result includes a description of the problem, implementation of a high-performance algorithm and solution to the computational problem.
Persons Participating in the Case as Subjects of a Civil Procedural Legal Relationship
Authors: Smirnov Aleksandr Sergeevich
Published: February 2024

This article examines the subject composition and subjects of civil procedure, the basis of which is a judicial person and persons directly involved in the process, the classification of civil procedure is considered, its subjects are determined by their characteristics on the basis of different approaches. The author designates not only the legal classification of courts, participants in cases and persons who assisted in the administration of justice.
Contraception after Induced Abortion
Authors: Radeva Svetlana
Published: February 2024

A review of the current literature on contraception in induced abortion. An in – depth analysis of the guidelines of leading international and national organizations for contraceptives after induced abortion-surgical and medicated during the I-st and II-nd trimester was conducted. An analysis of good practices is made in order to assess the risks and benefits of the application of modern means of prophylaxis after artificial abortion, the use of appropriate contraceptives and thus to improve the individual obstetric-gynecological practice. All activities are aimed at preserving women's reproductive ability and reducing post-abortion complications. Methods: review of available literature from the last 10 years.
El necesario y urgente «golpe de timón» de la gestión pública en el Perú
Authors: Cruz Saco María Amparo , Cortez Rafael , Morales Armando
Published: February 2024

En este artículo, se lleva a cabo un análisis de los factores que obstaculizan la efectiva y eficiente administración de los recursos del Estado, y se realiza una propuesta de un nuevo paradigma para la gestión pública. Múltiples obstáculos impiden alcanzar el bienestar de la ciudadanía con atención a su diversidad; eliminarlos; y redefinir la gestión pública con un cambio de prioridades de las políticas públicas que permitirá alcanzar crecimiento con inclusión. El vector de inclusión requiere inversiones importantes en capital humano –educación, salud y tecnología– para elevar el bienestar y la calidad de vida, y en infraestructura física, para alcanzar mayor productividad y absorción del progreso tecnológico. Las prioridades son: empleo registrado (formal) y productivo, reforma del sector salud, educación e inversiones con criterio de integración social. Estas prioridades son comprendidas por siete lecciones de la política macroeconómica que pueden adaptarse a la nueva gestión pública.
Trzy zapomniane kościoły maryjne (Theotokos) epoki bizantyjskiej w Ziemi Świętej
Authors: Ledwoń Dawid , Waszkowiak Jakub
Published: February 2024

W historii Ziemi Świętej epoka bizantyjska jawi się bezsprzecznie jako czas intensywnego rozkwitu budownictwa sakralnego, zwłaszcza dedykowanego Świętej Bożej Rodzicielce Maryi (Theotokos). Spośród kościołów noszących ten tytuł do naszych czasów przetrwały nieliczne. Jednak na szczególną uwagę zasługują trzy, które od swojego upadku nie doczekały się odbudowy, a przez Prokopiusza oraz w innych źródłach literackich uznane zostały za znamienite. Są nimi: Kathisma, kościół na górze Garizim oraz Nea. Artykuł przedstawia wyniki najnowszych badań archeologicznych, jak też starożytne świadectwa literackie ukazujące funkcjonowanie wymienionych sanktuariów w ich kontekście historyczno-religijnym. Celem tego opracowania jest próba odpowiedzi na pytanie o powody, dla których wskazane świątynie maryjne, uważane za jedne z największych w Palestynie epoki bizantyjskiej, nie zostały odtworzone. Wydaje się, że przyczyniły się do tego trzy czynniki: brak bezpośredniego związku z wydarzeniami zbawczymi, o których traktują cztery kanoniczne Ewangelie, niekorzystna sytuacja geopolityczna oraz względy finansowe.
Sustaining Patency of Peripherally Inserted Venous Catheter (PIVC) among
Patients in Continuous Intra Venous Therapy
Authors: Das Renulata , Das Sasmita , Pradhan Jhunilata , Sahoo Ranjita , Sahu Meeksmita
Published: February 2024

Background:

Phlebitis is still a common complication of peripheral venous catheters. Finding a suitable solution to prevent and reduce the incidence of this
complication continues to be a challenge. Various strategies were used to reduce the incidence of phlebitis. Mostly non-pharmacological measures
were taken as first preference. Intially, when patients come to any hospital for their treatment, the first is the peripherally inserted venous catheter
access conducted inpatient for medication administration, fluid administration and blood transfusion in both the hospital setting and ambulatory
setting. About 70% of thepatients admitted to the hospital requires peripherally inserted venous catheters (PIVCs). The incidence of phlebitis is
higher in patients who undergo continuous intravenous therapy.

Objectives:

To find out the effect of hand grip exercise in the sustaining patency of peripherally inserted venous catheters among patients in continuous
intravenous therapy.

Methods:

During the 8 weeks the hand grip exercise was evaluated in patients, who had undergone continuous intravenous infusion through the peripherally
inserted venous catheter for at least 3 days. The measurement of data is based on the patient’s socio-demographic Performa, patency checklist,
visual infusion phlebitis score and visual analogue scale. The post-test was conducted in both experimental and control groups.

Result:

Till the end of the study, 76 participants were taken. On day 3 of the hand grip exercise maximum of 24 (61.5%) PIVC were patent, whereas in
control group 5 (13.5%) PIVC were able to maintain their patency. On day 5 of exercise 34 (91.9%) PIVC were replaced with a cause of phlebitis
33(89.2%) in the control group in comparison with the experimental group only 22 (56.4%) lines were replaced with the same cause of phlebitis 24
(61.5%).

Conclusion:

Hand grip exercise is important for clients, to reduce the need for the potentially painful process of placing vascular lines and also helps to control
costs by reducing the number of devices used for each client and the development of phlebitis.
Nano-Biocomposites: A Versatile Combination of Nanocomposites and Biopolymers
for the Synthesis of Heterocycles via Multicomponent Reactions
Authors: Rajmane Archana , Kumbhar Arjun
Published: February 2024

Organic natural materials like chitosan, cellulose, starch, agarose, and alginate
possess unique structures that are useful in creating advanced nanostructured materials. These
materials are highly useful in catalysis because of their numerous functional groups and
catalytic properties. They can also be combined with inorganic materials to create "nano-
Biocomposites" with specialized properties that can be utilized as catalysts in multicomponent
reactions. This review provides an overview of the use of nano-Biocomposites in
multicomponent reactions (MCRs).
Narrative Review of Traditional Chinese Medicine in the Treatment of
Postmenopausal Osteoporosis
Authors: Qi Li , Wei Guo Wang , Xu Dong Huang , Xiu Mei Zhao , Xiao Dong Xu , Cheng Ming Zhang
Published: February 2024

An increasing percentage of people in China are suffering from osteoporosis, particularly
postmenopausal osteoporosis (PMOP), as the country rapidly evolves into an aging culture.
Patients with osteoporosis are inclined to endure fractures, as well as deformities and impairments,
which drastically decrease people’s quality of life. The benefits of traditional Chinese medicine
(TCM) treatment have continued to become increasingly apparent as reports of adverse responses
to Western medications increased. The main advantage of traditional Chinese medicine treatment
is that pharmacological interactions may be employed to lessen adverse effects while increasing
therapeutic efficacy. In addition, there are various exercise therapies created by medical doctors
in the past generations, such as: Wuqinxi, Taijiquan, Baduanjin, Yijinjing, etc. Chinese medicine
and exercise treatment for postmenopausal osteoporosis have garnered a lot of attention recently
both domestically and internationally, and investigations demonstrate that these therapies have
considerable therapeutic effects. The pathophysiology of postmenopausal osteoporosis, advancements
of herbal therapy options, and exercise treatment options are all thoroughly addressed in
this article.