bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Psychometrics of the Sexual-Reproductive Needs and Concerns Scale of Iranian Never-Married Women Over 35
Authors: Taghizadeh Ziba , Ebadi Abbas , Shahrak Shakiba Pourasad , Brand Serge 
Published: June 2022

Abstract
Background: In traditional cultures, never-married women over 35 have to face a broad variety of social challenges. So far, no tool has been developed to measure the needs and concerns of these women. The purpose of the present study was to design the Farsi Scale of Sexual-Reproductive Needs and Concerns of never-married women over 35 and to assess its psychometric properties.Methods: The combined exploratory study had two phases. In the first phase, we performed a qualitative study. We interviewed never-married Iranian women over 35; next, from their descriptions, we extracted specific items, and these items were aggregated to form items of a questionnaire. To psychometrically validate the questionnaire, we tested the validity (face, content, and structure) and reliability (internal consistency and stability) of the questionnaire. For evaluating the structural validity, a cross-sectional study of 240 never-married women over the age of 35 completed the questionnaire. Results: The Sexual-Reproductive Needs and Concerns Scale of Iranian Never-Married Women over 35 was developed with 15 items and three dimensions (Emotional burden; Sexual needs; Stigma). Cronbach's alpha of the instrument was 0.81 and the Intraclass Correlation Coefficient was 0.98. Conclusion: The results of the study showed that the developed scale has acceptable validity and reliability, and thus can be used to assess the sexual-reproductive needs and concerns of never-married Iranian women over 35.
Longitudinal angiographic characterization of the efficacy of combined cerebral revascularization using encephalodurosynangiosis in patients with Moyamoya Disease
Authors: Lucia Kristin , Acker Güliz , Mrosk Friedrich , Beyaztas Defne , Vajkoczy Peter 
Published: June 2022

Abstract
Background: Moyamoya Vasculopathy (MMV) can be treated using direct, indirect, or combined revascularization procedures. We perform combined revascularization using the STA-MCA bypass and minimally invasive encephalodurosynangiosis (EDS). Due to lack of systematic analyses to date it remains unclear whether and to which extent this limited EDS serves as a growth source for extracerebral blood vessels into the brain. The objective of the current study is to characterize the extent of angiographic filling of EDS and STA-MCA bypass development over time and to determine possible predictors of EDS development in adult MMV patients. Methods: Single-center retrospective analysis of 81 MMV patients (139 hemispheres) treated with a minimally invasive EDS and STA-MCA bypass. Angiographic images, clinical/operative data were reviewed and scored. Uni-/ and multivariate COX-regression analyses identified preoperative predictors of good EDS vascularization. Results: At 3-6 months after surgery EDS showed moderate and high angiographic filling in 40% and 5% of hemispheres, respectively. After 12 months moderate and high filling was in 57% and 4% of hemispheres, respectively. STA-MCA bypass filling was moderate in 47% and high in 7% of hemispheres at 3-6 months and 45% moderate and 9% high after 12 months. High STA-MCA bypass filling on angiography was a negative predictor of EDS development.Conclusions:Minimally invasive EDS is a simple technique and serves as a source of vessel growth into the brain. EDS development lags behind that of STA-MCA bypass and can be recommended as an additive revascularization source when combined with a direct bypass.
The role of the assembly force in the tribocorrosion behaviour of hip implant head-neck junctions: An adaptive finite element approach
Authors: Fallahnezhad Khosro , Feyzi Mohsen , Hashemi Reza , Taylor Mark 
Published: June 2022

Abstract
The cyclic loading, in the corrosive medium of the human body, results in tribocorrosion, at the interface of the head neck taper junction of hip implants. The resulting metal ions and wear debris can have adverse effects on the local tissues. The force applied by surgeons to assemble the head-neck junction is proven to play a major role in the mechanics of the taper junction which in turn can influence the tribocorrosion damage. Recently, finite element method has been used to predict the material loss at the head-neck interface. However, in most previous finite element studies, the contribution of electrochemical corrosion has been ignored. Therefore, a detailed study to investigate the influence of the assembly force on the tribocorrosive behaviour of the head-neck junction, taking into account both the mechanical and chemical material removal, is of paramount interest. In this study, a finite-element-based algorithm was used to investigate the effect of assembly force on the tribocorrosion damage at the junction interface over 4 million cycles of simulated level gait. The patterns of the material removal in the modelling results were compared with the damage patterns observed in a group of retrieved modular hip implants. The results of this study showed that chemical wear, after four million cycles, for different cases, was in the range of 25%-32% of the total material loss. A minimum assembly force (4 kN for the studied cases) is needed to maintain the interlock in the junction. Increasing the assembly force above this value does not further reduce the material loss. The computational model was able to predict the damage pattern at the retrieved head-neck interface.
Chironomus sancticaroli (Diptera: Chironomidae) in ecotoxicology: laboratory cultures and tests
Authors: Brovini Emília Marques , Lobo Haroldo , Mendonça Raquel Fernandes , Botta Clarice Maria R , Lima Ana Luiza Rangel Linhares , De Deus Beatriz Corrêa Thomé , Cardoso Simone Jaqueline 
Published: June 2022

Abstract
Chironomus sancticaroli is a species restricted to tropical environments, easy to grow and to maintain in laboratory cultures. C. sancticaroli usually has many generations per year, which is an important criteria for selecting a test organism in ecotoxicology. This study aimed to: (1) review the methods for C. sancticaroli cultivate and its use in ecotoxicological tests, (2) establish a laboratory culture of C. sancticaroli, presenting the difficulties and discussing the ways to overcome them. The 4th instar larvae was the most used in acute studies, while the 1st instar larvae was the most used in chronic studies; 96 hours and 28 days were the most frequent durations in acute and chronic studies, respectively. The most common endpoints evaluated were organisms’ survival and development, and most of the ecotoxicological studies using C. sancticaroli were performed in laboratory. Most of the tested contaminants were of the group of pesticides and these were also the ones that had the most adverse effects on organisms. Most mesocosms with environmental contaminated samples did not show adverse effects on C. sancticaroli. Chronic and field studies as well as those testing the effects of the mixture contaminants on C. sancticaroli were still deficient. Keeping the laboratory environment and equipment effectively sanitized was important for the success of the cultivate as well as maintain stabilized conditions of temperature, photoperiod, physical, chemical and biological water quality in cultures.
DeepCOVIDNet: COVID-19 Detection of Chest Image Using Deep Learning Model
Authors: Sagayam K. Martin , Das Puja , Jamader Asik Rahaman , Acharya Biswa Ranjan , Bonyah Ebenezer , Elngar Ahmed A. 
Published: June 2022

Abstract
CoronaViruses (CoV) are significant human and creature pathogens. It is risky contamination that may cause Severe Acute Respiratory Syndrome (SARS-CoV), and Middle East Respiratory Syndrome (MERS-CoV). Clinical examinations have indicated that most COVID-19 patients experience the ill effects of lung disease. In spite of that, chest CT has been demonstrated to be a viable imaging strategy for lung-related illness analysis, chest X-ray is all the more generally accessible because of its quicker vision schedule and significantly less expensive CT. The main objective of this paper is to propose an efficient deep transfer learning algorithm for Covid-19 recognition in the chest using a 2D x-ray. DeepCOVID-Net to help radiology technicians consequently analyze COVID-19 in X-beams. To assess the model gassing, to gather hundred chest X-beam images of various victims affirmed by COVID-19 from GitHub repository and Kaggle. The dataset primarily consists of two classes: covid and normal. The proposed model (DeepCOVID-Net) is utilizing eight deep learning models that were chosen in this exploration for the training process. These are VGG19, DenseNet121, ResNetV2, InceptionV3, InceptionResNetV2, Xception, GoogleNet and MobileNetV2. Utilizing pre-trained deep transfer learning models shows effective performance metrics for each and every model. This paper explored the performance metrics of the proposed work with the existing neural network model.
Metadichol, A natural ligand for expression of Yamanaka reprogramming factors in somatic and primary cancer cell lines
Authors: Raghavan P.R. 
Published: June 2022

Abstract

The conversion of somatic cells back into induced pluripotent stem cells (iPSCs) or embryonic-like stem cells involves the introduction of four genes commonly called Yamanaka factors, i.e., Sox2, Oct4, Klf4, and c-Myc, into the cells. Because these genes and the viral vectors used to introduce them into cells have the potential to cause cancer, iPSC lines are not clinically useful. Most instances of direct reprogramming have achieved have been by the forced expression of defined factors using viral vectors. Here, we show that Metadichol® has the potential to generate iPSCs non-virally and may be helpful in clinical applications. Metadichol is a nanoformulation of long-chain alcohols derived from food. Quantitative real-time PCR (qRT-PCR) and western blotting showed that OCT4, SOX2, and Nanog are expressed when fibroblasts were treated with Metadichol at one picogram to 100 nanograms. Reverse-transcription PCR (RT-PCR) also revealed that OCT4, KLF4, Nanog, and Sox2 levels increased compared to controls by 4.01, 3.51 and 1.26, and 2.5-fold, respectively, in A549 cancer cells. In Colo-205 cells, OCT4, KLF4, and Sox2 were increased by 1.79, 13.17, and 2.25folds, respectively. Metadichol treatment with triple-negative primary breast cancer (HCAF-TNPBC) primary cancer cells led to multifold increases of OKSM factors by 19.6, 8.07, 2.45, and 6.91, folds increase in Metadichol concentration ranges one picogram to 100 nano grams. Metadichol is a natural product that induces the expression of Yamanaka factors needed for reprogramming and Klotho, an anti-aging gene, and curbs the expression of the TP53 gene, which is critical for reprogramming somatic cells into IPSCs.Metadichol increases endogenous vitamin C levels, leading to the efficient reprogramming of somatic cells into iPSCs. Metadichol is nontoxic and commercially available as a nutritional supplement. Thus, it can be directly tested in vivo in human subjects to confirm that cells can indeed be programmed into a state of induced pluripotency and cause the mitigation of disease conditions.
E-FEERP: Enhanced Fuzzy based Energy Efficient Routing Protocol for Wireless Sensor Network
Authors: NARAYAN VIPUL , Daniel A.K. , Chaturvedi Pooja 
Published: June 2022

Abstract
Wireless Sensor Network (WSN) comprises thousands of tiny sensor nodes used in various monitoring applications to sense environmental conditions. WSN collects and organizes the sensed data and transmits to the Base Station (BS). Due to the limited battery energy of sensor nodes, optimal data collection and transmission techniques are necessary for the prolonged working of the sensor network. The Particle Swarm Optimization (PSO) method is used in this paper to form the cluster in WSN and a Fuzzy based Energy Efficient Routing Protocol (E-FEERP) is proposed using energy of battery, average distance SN from BS, node density and communication quality to transmit data from Cluster Head (CH) to the BS optimally. The simulation results of the proposed E-FEERP is compared with the existing approaches, which show an improvement in the network performance-based parameters such as throughput, residual energy (RE), load balancing ratio and packet delivery ratio, energy consumption and network lifetime.
Assessment of sex and racial biases in electronic health records of emergency department patients with acute coronary syndrome
Authors: Zeng Cecilia , Xiang Wang , Allen Angier , Shokouhi Sepideh , Chetty Satish Casie , Barnes Gina , Iqbal Zohora , Tsou Peiling , Calvert Jacob , Hoffman Jana , Mao Qingqing 
Published: June 2022

Abstract

Background
Electronic health records (EHRs) contain individualized patient data that can be used to develop diagnostic and risk prediction models with artificial intelligence (AI) algorithms. Explicit and implicit sources of bias embedded in EHRs may hinder generalizable model performance and perpetuate bias.
Objective
This study explores the question of how existing sex and racial disparities in the clinical assessment and management of acute coronary syndrome (ACS) are reflected in patients’ EHRs. We outlined recommendations on how these sources of bias should be examined and mitigated within the framework of development and validation of AI-based diagnosis and risk stratification algorithms.
Methods
This retrospective study examined several previously unrecognized EHR-embedded biases in a multisite emergency departments (ED) setting. We assessed sex and race differences in EHR data missingness and timeliness of several key ED procedures following ACS suspicion. We additionally conducted a data-driven clustering analysis to detect latent groups of ACS patients.
Results
10,043 ACS-associated ED visits were included. We identified sex and race differences in the prevalence of ACS symptoms, data missingness (vitals and labs), and waiting time for troponin order and treatment initiation within 24 hours post-admission. Our cluster analysis discovered four groups of ACS patients corresponding to common symptoms. Additionally, we identified differences in clinical management and patient demographics across these clusters.
Conclusions
We discovered several sources of bias inherent in the clinical practice of ACS diagnosis and treatment that are also present in EHR data. Our study supports the inclusion of a wider range of symptoms into AI-based diagnosis and risk stratification tools. These models should be also validated in ED admissions without chest pain and in patients who experience a longer waiting time for ED procedures.
Analyzing the Effects of the Dwelling Characteristics on the Space Heating Costs with Bayesian Networks
Authors: Sevinç Volkan 
Published: June 2022

Abstract
Energy is one of the main concerns of humanity because energy resources are limited and costly. Hence, effective use of energy is important. In order to reduce the costs and to use the energy for space heating effectively, new building materials, techniques and insulations facilities are being developed. Therefore, it is important to know which factors affect the space heating costs. This study aims to introduce the use of Bayesian networks to analyze the effects of dwelling characteristics on the space heating costs. The Bayesian Network model shows that the space heating costs of the dwellings are mostly affected by the heating systems used. The second important factor appears to be the existence of external wall insulation. The third most important factor, however, is the building age. Additionally, dwellings on the ground floors and on the first floors appear to pay the highest space heating costs. On the other hand, dwelling type and facing direction seem not to have a considerable effect on the space heating costs.
The Mechanisms of Current Platinum Anticancer Drug Resistance in the Glioma
Authors: Lu Enzhou , Gareev Ilgiz , Yuan Chao , Liang Yanchao , Sun Jingxian , Chen Xin , Beylerli Ozal , Sufianov Albert , Zhao Shiguang , Yang Guang 
Published: June 2022

Abstract:
Gliomas are the most common and malignant primary tumors of the central nervous system (CNS). Glioblastomas are the most malignant and aggressive form of primary brain tumors and account for the majority of brain tumor-related deaths. The current standard treatment for gliomas is surgical resection supplemented by postoperative chemotherapy. Platinum drugs are a class of chemotherapeutic drugs that affect the cell cycle, and the main site of action is the DNA of cells, which are common chemotherapeutic drugs in clinical practice. Chemotherapy with platinum drugs such as cisplatin, carboplatin, oxaliplatin, or a combination thereof is used to treat a variety of tumors. However, the results of gliomas chemotherapy are unsatisfactory, and resistance to platinum drugs is one of the important reasons. The resistance of gliomas to platinum drugs is the result of a combination of influencing factors. Decreased intracellular drug concentration, enhanced function of cell processing active products, enhanced repair ability of cellular DNA damage and blockage of related apoptosis pathways play an important role in it. It’s known that the pathogenic properties of glioma cells and the response of glioma towards platinum-based drugs are strongly influenced by non-coding RNAs, particularly, by microRNAs (miRNAs) and long non-coding RNAs (lncRNAs). miRNAs and lncRNAs control drug sensitivity and the development of tumor resistance towards platinum drugs. This mini-review summarizes the resistance mechanisms of gliomas to platinum drugs, as well as molecules and therapies that can improve the sensitivity of gliomas to platinum drugs.
South African (501Y.V2) and the United Kingdom (B.1.1.7) SARS-CoV-2
Spike (S) Protein Variants Demonstrate a Higher Binding Affinity to
ACE2
Authors: Mohammad Anwar , Al-Mulla Fahd , Abubaker Jehad 
Published: June 2022

Introduction:
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), affects the lower respiratory tract by binding to angiotensin-converting enzyme 2 (ACE2) via its S-protein. Recent emerging SARS-CoV-2 variants from the United Kingdom (B.1.1.7) and South Africa (501Y.V2) are spreading worldwide at an alarming rate. The new variants have manifested amino acid substitution K417N, E484K and N501Y on the RBD domain that binds to ACE2. As such, these mutations may influence the binding of the S-protein to ACE2 and affect viral entry into the host cell.

Methods:
In this study, we modelled the amino acids substitutions on the S-protein and utilised HADDOCK server to assess the S-protein RBD domain binding with ACE2. Additionally, we calculated the binding affinity of ACE2 to S-protein WT, B.1.1.7 and 501Y.V2 variants using Molecular Mechanics-Generalized Born Surface Area (MM/GBSA).

Results:
We demonstrate that the S-protein of both variants possesses higher binding affinity to ACE2 than WT, with the South African 501Y.V2 is a more infective strain than the B.1.1.7 that originated in the United Kingdom.

Conclusion:
The South African 501Y.V2 variant presents three amino acid substitutions that changed the H-bonding network resulting in a higher affinity to ACE2, indicating that the 501Y.V2 strain is more infective than the B.1.1.7 strain.
Lymphatic Regulation in Tissue Repair and Regeneration: Recent
Advances and Future Perspective
Authors: Bei Yihua , Liu Jianyun , Xiao Junjie 
Published: June 2022

Abstract:
Lymphatic vasculature plays essential role in interstitial tissue uptake, immune cell transport
and dietary lipid absorption. Increasing evidence has demonstrated the contribution of lymphangiogenesis
to tissue repair and regeneration, which is associated with multiple factors such as improved tissue homeostasis,
inflammation resolution, and immunomodulation effects. Meanwhile, lymphangiogenesis has the
potential to regulate cell growth and proliferation through paracrine effects. Lymphatic vessels can also
be important components of the stem cell niche and participate in regulating stem cell quiescency or activity.
In perspective, the functions and mechanisms of lymphatic vessels in tissue repair and regeneration
deserve further investigation. Novel strategies to stimulate lymphangiogenesis by using pharmacological,
genetic, and lymphatic tissue engineering will be prospective to promote tissue repair and regeneration.
Recent Advances of Artificial Intelligence Tools in Attention-Deficit Hyperactivity
Disorder (ADHD)
Authors: Kaur Ginpreet , Walvekar Shreya , Thawkar Baban , Chintamaneni Meena 
Published: June 2022

Abstract:
Attention deficit hyperactive disorder or ADHD is a common disorder among children, and
if not identified early, it may affect the child’s later life. Pharmacotherapy in ADHD has been linked to
the emergence of other emotional disorders. Children who get pharmacological treatment are more
likely to continue taking these medications until adulthood, increasing their risk of acquiring other
psychological problems. As a result, the majority of ADHD patients are eventually prescribed numerous
medicines to manage emotional difficulties as well. Thus, AI tools are seen to be a boon for
ADHD patients and clinicians. There have been emerging approaches in using artificial intelligence
tools to diagnose and treat ADHD in recent years. Different algorithms and medical devices are used
for greater accuracy and precision. The various neural networks detect complex signals in the human
brain and analyze them. As it is a neurodevelopmental disorder, AI gives the best tools for proper diagnosis
and treatment. Virtual and physical branches of AI are a great help to the patient. This review
article focuses on the use of various AI models and tools that employ ADHD symptoms, MRI scans,
and EEG signals, using electroencephalogram sensors to monitor brain activity, to help physicians better
manage this prevalent neurodevelopmental disorder.
Rumo(res) a um Teatro não teatral. Grotowski e os anos 70
Authors: Piva Bruno Leal 
Published: June 2022

Grotowski estabelece uma investigação artística com integrantes de diversas culturas, carregados por seus dramas sociais, rituais e comportamentos socioculturais. O Parateatro é abordado prioritariamente no contexto histórico-cultural entre 1970 e 1975, promovido também pelo movimento de contracultura e ruptura da dicotomia ator/espectador, para uma participação ativa de todos envolvidos. Cultura, história, arte e teatralidade são alicerces para esta discussão. Estabelece-se contato com pesquisas acerca de aspectos comportamentais socioculturais da performance, lidando com o trabalho transcultural do Teatro das Fontes entre 1976 e 1982. Esses períodos despontam caminhos para um teatro não teatral grotowskiano e sugerem a arte como veículo de transformação do mundo individual e coletivo. Erika Fischer-Lichte, Richard Schechner e Victor Turner formam parte do núcleo de suporte teórico.