bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Acetylsalicylic Acid and Sildenafil on the Longevity of Spruce Branches: A Triple-Blinded Randomized Control Trial
Authors: Ruge Morten , Mørch Therese , Pais Sara , Schack Anders 
Published: August 2023

Abstract
Christmas trees are engaged in a race against time, from being cut down to Christmas Eve, where their beauty must be maximized. An old housewife's remedy recommends adding an aspirin tablet to the water for the Christmas tree to extend its period of looking beautiful (Aesthetic Lifespan: AL). However, there is no evidence supporting this advice, so we pose the question: Can acetylsalicylic acid (ASA) prolong the lifespan of Norway spruces in terms of AL? We will include 60 spruce branches divided into three groups of 20 and examine the effects of ASA compared to a placebo group, as well as a group where we intervene with Sildenafil.

Our hypothesis is that the antipyretic effect of aspirin will lower the internal temperature of the spruce branches, bringing them closer to the conditions in which the tree was cut down - the cold December weather.
Intelligent water quality and level detection system using hybrid classifier
Authors: V Sathananthavathi , Shiva A. , Sivasubash S.S. 
Published: August 2023

Abstract
The use of a water storage system to store and distribute water is a widely adopted approach in numerous households. The issue of assessing the quality of water in the overhead tank prior to its distribution to households remains unresolved. The advanced method of monitoring and managing water resources is through the implementation of the intelligent system for detecting water quality and level. In this work, the system employs hybrid classifiers with a combination of three machine learning algorithms, to detect water quality parameters such as pH level, turbidity, total dissolved solids, as well as water level in real-time. The system provides accurate and reliable information to water treatment facilities and environmental agencies for effective decision making, ensuring the availability of safe and clean water for the community. The system has a feature of real time monitoring of water quality and level through Internet of Things.
Constellation Partitioning-Based Scma Codebook Design
Authors: Press Randal , Babalola Oluwaseyi P , balyan vipin 
Published: August 2023

Abstract
A new codebook design is proposed for sparse code multiple access (SCMA) uplink transmissions using constellation partitioning to increase the minimum Euclidean distance. The simulation results show that the proposed codebook design outperforms existing SCMA Codebook in terms of error rate performance. More so, the codebook is suitable for 5G wireless networks with massive connectivity requirements such as the Internet of Things (IoT) and massive machine type communication (mMTC). The proposed codebook design uses a sum-product algorithm (SPA) decoder, which improves the bit error rate (BER) performance. Thus, making the method of design a promising candidate for future wireless communication systems.
Resource Allocation and Pairing Algorithm in Power Domain NOMA
Authors: trapasiya Samir Dhirajlal , Soni Himanshu Bipinbhai 
Published: August 2023

Abstract
In Non-Orthogonal Multiple Acess (NOMA), power allocation and user pairing is the major challenge. We have addressed this issue in the proposed work. We have formulated a power optimization problem for the sum-rate maximization with power and minimum rate constraints and solved it using a Genetic Algorithm (GA). The results of the proposed work indicate that a better fairness index can be achieved in the investigated work compared to existing solutions. Along with this, we have developed an algorithm for user pairing based on the Hungarian work assignment problem. It is emphasized that better pairing in the NOMA scheme achieve a higher sum rate. In the underlined work we have extended the Hungarian work assignment problem for 3 user clustering cases. It is observed that obtained results of the proposed work in terms of total sum rate outperform the Near- Far (NF) and Near-Near (NN) user case for various channel conditions and the number of users. A proposed Optimum Pairing Scheme (OPS), performs well for 2 user pairing as well as 3 users clustering to achieve better capacity along with a good fairness index
ML based IoT Framework for Diabetes Detection
Authors: Kumar Upendra , Kumar Tanay , Gautam Shreya , Pandey Subhash Chandra 
Published: August 2023

Abstract
There has been a discernible increase in the prevalence of diabetes in recent years, highlighting the significance of early detection in successfully managing the condition and avoiding complications. A chronic disease called diabetes is characterized by persistently elevated blood sugar levels. This requires consistent monitoring, medication, lifestyle modifications, and adherence to a healthy diet. The system's ability to detect diseases early can help with quick treatment and illness management. The platform makes use of Internet of Things (IoT) technology to provide a simple and quick way to monitor patients' health while reducing difficulties caused by diabetes. Several machine learning algorithms have been used to differentiate between diabetes and non-diabetic patients, including Adaboost, Gridsearch, Evalml, AutoML, and Artificial Neural Network. This research introduces a machine learning model-based IoT system for diabetes detection. The suggested system combines Internet of Things (IoT) devices for gathering physiological data with a cloud-based platform for processing and analyzing the data. It was determined through meticulous investigation that hyperparameter modification greatly improved the performance of the aforementioned algorithms, with the Random Forest algorithm showing the highest accuracy. The IoT-enabled technology offers a trustworthy and affordable option for keeping track of diabetic patients' health, enabling early diagnosis and effective treatment of the condition. Overall, the research's findings highlight the potential for machine learning to improve healthcare outcomes for people with diabetes by shedding light on the role it plays in the detection and management of the disease.
Spatial trade-offs and synergies among ecosystem services in Guangdong Province, China
Authors: Xu Qian , Yang Ying , Yang Ren , Zha Lisi 
Published: August 2023

Abstract

The trade-offs between ecosystem services directly affect the quality of the ecological environment and the survival and development of human society, which is of great concern to academia, governments, and non-governmental organizations. Based on ecosystem service data from the Research Center for Eco-Environmental Sciences of the Chinese Academy of Sciences, the trade-offs and synergies among different ecosystem services in Guangdong Province in China were analyzed. Moreover, the differences in their impact and impact mechanisms were investigated. Our results showed three main points: (1) The ecosystem services in Guangdong Province showed clear spatial heterogeneity. Also, Northern Guangdong has high water retention, with a value of 5,804.73×104 m3/km2 and high values for carbon sequestration and soil retention. Western Guangdong is a functional area for food production, and the Pearl River Delta is an economically developed region. (2) In the overall Guangdong Province, three pairs of ecosystem services, namely water retention–soil, carbon sequestration–water, and carbon sequestration–soil retention, showed a strong positive correlation and a good synergistic relationship. The other three pairs of relationships show strong trade-off effects. (3) The trade-offs and synergies between pairs of ecosystem services are clearly different in space, and the relationships between the same ecosystem services show completely different characteristics in different regions, resulting from the complex influence of different natural local conditions and human activities.
Hedgehog target genes regulate lipid metabolism to drive basal cell carcinoma and medulloblastoma
Authors: Daggubati Vikas , Vykunta Akshara , Choudhury Abrar , Qadeer Zulekha , Mirchia Kanish , Saulnier Olivier , Zakimi Naomi , Hines Kelly , Paul Michael , Wang Linyu , Jura Natalia , Xu Libin , Reiter Jeremy , Taylor Michael , Weiss William , Raleigh David 
Published: August 2023

Abstract
Hedgehog (Hh) signaling is essential for development, homeostasis, and regeneration1. Misactivation of the Hh pathway underlies medulloblastoma, the most common malignant brain tumor in children, and basal cell carcinoma (BCC), the most common cancer in the United States2. Primary cilia regulate Hh signal transduction3, but target genes that drive cell fate decisions in response to ciliary ligands or oncogenic Hh signaling are incompletely understood. Here we define the Hh gene expression program using RNA sequencing of cultured cells treated with ciliary ligands, BCCs from humans, and Hh-associated medulloblastomas from humans and mice (Fig. 1a). To validate our results, we integrate lipidomic mass spectrometry and bacterial metabolite labeling of free sterols with genetic and pharmacologic approaches in cells and mice. Our results reveal novel Hh target genes such as the oxysterol synthase Hsd11β1 and the adipokine Retnla that regulate lipid metabolism to drive cell fate decisions in response to Hh pathway activation. These data provide insights into cellular mechanisms underlying ciliary and oncogenic Hh signaling and elucidate targets to treat Hh-associated cancers.
Effects of the duration of estrogen therapy on live birth rate in HRT cycles: protocol for a randomized, controlled, non-inferiority study
Authors: Zeng Jie , Wu Yixuan , Cao Mingzhu , Liu Jianqiao , Liu Haiying 
Published: August 2023

Abstract
Background
Hormone-replacement therapy (HRT) is usually used before frozen-thawed embryo transfer (FET) in women undergoing assisted reproduction. Estrogen is used first in the HRT cycle to stimulate endometrial proliferation, followed by combined estrogen and progesterone therapy to imitate the secretory phase of the endometrium. The progesterone is continued until 8–10 weeks of gestation when the placenta begins the function of luteal support. However, to date, there has been no comprehensive evaluation of the recommended duration of estrogen treatment in the HRT cycle. Prolonged estrogen use can contribute to increased risk of metabolic, coagulation, and neurological outcomes as well as mammary gland diseases.
Methods
The present protocol outlines a proposed single-center, prospective, randomized, controlled, non-inferiority trial. The trial will include clinically pregnant women between 20 and 40 years of age with singleton pregnancies resulting from FET during a hormone replacement cycle. The goal of the trial is to determine whether the live birth rates are impacted by the duration of oral estradiol valerate supplementation (6 vs 10 weeks). The live birth rate will be the primary study outcome, while secondary outcomes include maternal morbidity and neonatal outcomes at birth. Adverse events will be monitored and recorded during the trial.
Discussion
We do not expect to observe any differences in live birth rates, obstetric, or pediatric outcomes when oral estrogen supplementation is discontinued at 6 versus 10 weeks of pregnancy. The clinical data obtained from this trial may provide evidence for improving luteal support guidelines for women undergoing HRT cycles.
Trial registration
The study has been approved by the Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University, and will be performed according to the Good Clinical Practices guidelines. The protocol has been registered on ClinicalTrials.gov (No: ChiCTR2100041917).
Enhanced multimodal medical image fusion based on Pythagorean fuzzy set- An innovative approach
Authors: Haribabu Maruturi , Guruviah Velmathi 
Published: August 2023

Abstract
The primary goal of this article is to combine multi-modality medical images into a single output image in order to obtain superior information and better visual appearance without any vagueness and uncertainties, which is suitable for better diagnosis. The complexity of medical images is higher, and many researchers applied various soft computing methods to process them. Pythagorean fuzzy set (PFS) is more suitable for medical images because it considers more uncertainties. In this article, a new method, Pythagorean fuzzy set-based medical image fusion is proposed. Initially, the source images are decomposed into base and detail layers using the two-layer decomposition method, and these layers contain structural and edge details of the source images. To preserve more edge details and clarity, a spatial frequency based fusion rule is employed for detail layers. The base layer images have low contrast, to enhance this; it is converted into Pythagorean fuzzy images (PFIs) with the help of optimum value, which can be generated by Pythagorean fuzzy entropy (PFE). Then, the two pythagorean fuzzy images are decomposed into image blocks, and then perform blackness and whiteness count fusion rule. Finally, the enhanced fused image is obtained by reconstructions of PFI blocks and performs the defuzzification process. The efficiency of the proposed fusion method proves that in terms of both visually and quantitatively compared to other existing fusion methods. The proposed method is tested on different datasets with various quality metrics, which produces an enhanced fused image without artifacts and uncertainties
Evaluation of the Antibacterial, Antileishmanial, and Cytotoxic Potential of Secondary Metabolites of Streptomyces Kronopolitis
Authors: Rosa Fernanda Costa , Azevedo Virlanna Larissa Santos , Dias Léo Ruben Lopes , Batista Lucas Abrantes , Melo Mariana Costa , Silva Bruno Reges , Sales Luís Alfredo Torres , Aliança Amanda Silva dos Santos , Miranda Rita de Cássia Mendonça 
Published: August 2023

Abstract
This study aimed to evaluate the antibacterial, leishmanicidal, and cytotoxic potential of metabolites produced by bacteria isolated from rhizosphere soil samples. The bacterium was identified by molecular techniques as Streptomyces kronopolitis. A preliminary screening was carried for the antimicrobial activity of S. kronopolitis, demonstrating activity against Staphylococcus aureus ATCC 6538, Corynebacterium diphtheriae ATCC 27010, C. diphtheriae ATCC 27012, and Mycobacterium abscessus, with inhibition halos of sizes 25, 36, 29, and 33 mm, respectively. To obtain secondary metabolites, the bacteria was subjected to submerged fermentation, and the metabolites were extracted using the liquid-liquid method with ethyl acetate. There was a similar MIC for M. abscessus and the two strains of C. diphtherium, reaching a concentration of 0.125 mg/mL, while that of S. aureus was 0.048 mg/mL. Assays for leishmanicidal activity and cytotoxicity against HEp-2 cells and red blood cells were performed. The metabolite showed IC50 of 9.0 ± 0.9 µg/mL and CC50 of 226.2 µg/ ml. This metabolite does not have hemolytic activity and is more selective for parasites than for mammalian cells, with a selectivity index of 24.85. Thus, the studied metabolite may be a strong candidate for the development of less-toxic drugs to treat diseases caused by pathogens.
Ataxia-telangiectasia: case series review from Centro Hospitalar Universitário do Santo António
Authors: de Almeida Carlota Gomes , Marques Laura Elvira Gonçalves Novo da Hora 
Published: August 2023

Abstract
Purpose: Characterize epidemiologically and clinically the individuals diagnosed with ataxia-telangiectasia (A-T), know the therapies performed and evaluate factors of worse prognosis.
Methods: Retrospective study, from clinical records of patients diagnosed with A-T in CHUdSA from 1992 to 2022, inclusive.
Results: The sample consists of 7 patients, 85.7% male. The mean age at diagnosis was 4.01 ± 1.76 years. The consanguinity rate was 42.9% and the mean BMI at diagnosis was 15.74kg/m2. At diagnosis, cerebellar ataxia was present in 100% of patients, dysarthria in 57.1%, oculomotor apraxia in 42.9%, dystonia in 28.6%, and dysphagia in 14.3%. Telangiectasias were seen in 57.1% of cases and skin changes in 28.6%. Recurrent respiratory infections covered 57.1% of patients. The mean AFP at diagnosis was 95.28 ± 23.48 ng/ml, lymphopenia was observed in 57.1%, IgA absence in 100%, IgG deficit in 42.9%, and CD4+ T lymphocyte deficit in 100% of patients. At the time of the last evaluation, 100% had dysarthria, 85.7% had oculomotor apraxia and/or dysphagia, and 57.1% had dystonia. Also, 85.7% had telangiectasias and 71.4% had skin changes. Diabetes mellitus developed in 14.2% of patients. The mean age of gait loss was 15.75 ± 3.30 years and 57.1% of the cases were wheelchair dependent at the time of the last evaluation.
Conclusions: The results observed are mostly according to those described in the literature. In A-T, the prognosis varies according to the severity and presence of secondary complications, and it is crucial to act early to prevent them.
Low-cycle fatigue of fiber-reinforced concrete under high strains
Authors: Massone Leonardo , Cortés Jonathan 
Published: August 2023

Abstract
This study investigates the experimental response of cylindrical specimens made of plain concrete and concrete reinforced with PVA fibers that were subjected to low-cycle fatigue tests under compression. Two types of PVA fiber were used in the experiments, with lengths of 12 and 15mm, and three volume levels were considered: 0%, 1%, and 2%. The experimental program included tests where the fatigue load was applied during the pre-crushing stage of the sample (pre-peak), as well as after the onset of strength degradation (post-peak). In the pre-peak compression fatigue tests, which are more common in the literature, a maximum stress level of 95% of the specimen strength was applied. The post-peak compression fatigue tests, which are not available in the literature and could help understand the durability of concrete with fibers under cyclic response, were conducted at two levels of strength degradation, measured with respect to the monotonic compressive strength: 2% and 10%. In addition, three levels of maximum compressive stress for the cycles were used: 85%, 90%, and 95%. Based on the results obtained, fatigue models (Wöhler) and models of secondary strain rate versus fatigue life were developed. Furthermore, the envelope of maximum strains at low cycle fatigue failure was analyzed for both pre-peak and post-peak tests.
Age-Related Impairment of Innate and Adaptive Immune Responses Exacerbate Respiratory Viral Infection in Older Mice
Authors: Srivast Ruchi , Agrawal Anshu , Vahed Hawa , BenMohamed Lbachir 
Published: August 2023

Abstract
Immune function declines with age, leading to an increased vulnerability of the elderly to respiratory viral infections. The mechanisms by which aging negatively impacts the immune system leading to enhanced susceptibility to respiratory pathogens remain to be fully elucidated. In the present study, we used a mouse model of infection with herpes simplex virus type 1 (HSV-1), a virus that can enter the lungs causing pneumonia, a rare but serious health concern in the elderly. Following intranasal inoculation of young (6 weeks), adult (36 weeks), and aged mice (68 weeks) with HSV-1 (KOS strain) we: (i) compared the local and systemic immune responses to infection in young, adult, and aged mice, and (ii) correlated the level and type of immune responses to protection against HSV-1 infection and disease. Compared to young and adult mice, the aged mice displayed: (i) increased activation of epithelial cells with a decreased expression of TLR3; (ii) increased activation of dendritic cells with increased expression of MHC-I, MHC-II, and CD80/86; and (iii) decreased production of type-I interferons; (iv) a delay in the production of anti-inflammatory cytokines and chemokines in the lungs; and (v) impairment in the frequencies of functional HSV-specific CD107+IFN-g+CD8+ T cells associated with the increased incidence of viral infection and disease. The results suggest an age-related impairment of both innate and adaptive immune responses may exacerbate respiratory viral infection and disease in the elderly.
A Case Study on New High-strength Temporary support technology of extremely soft coal seam roadway
Authors: Xu Zhijun , Li Chong , Cao Yue , Tai Lianhai , Han Jun 
Published: August 2023

Abstract
One of the major technological challenges in roadway excavation is the implementation of hydraulically powered, high-strength temporary supports, the current temporary support system cannot provide active support, and it is easy to separate the top plate of the roadway from the layer at the start, controlling the first departure of the roadway roof is critical for the stability of the roadway's surrounding rock, especially on particularly loose and soft rock roadways. The engineering backdrop for this research is the Sail Six Mine's A4027 return airway, identify the issues with the A4027 return airway's temporary support, the concept and principle of hydraulically driven high-strength temporary support technology are proposed, the mechanical analysis model of the stacked roof in the temporary support region is constructed, and the critical circumstances of the top plate delamination are determined, quantified the link between the delamination difficulty parameter Q, the temporary support distance L, and the temporary support strength q; Flac3d's numerical simulation was used to model the relationship between the temporary support's strength and the deformation and stress of the rock on the roof, the overall temporary support strength q for the A4027 return airway has been determined to be 10 kN/m2, and the temporary support distance L is 2 m; Developed hydraulically driven high-strength temporary support devices and conducted strength test tests and field trials, The test results showed: the top board's initial off-layer control is better, and the temporary support region support effect is noticeable, the maximum value of the top plate off the seam during excavation is only 34mm, and the sinking amount of the top plate does not exceed 68mm, which effectively limits the deformation of the surrounding rocks of the very soft coal seam, providing lessons for other roadways with similar conditions.