bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of a digital targeted client communication intervention on pregnant women’s worries and satisfaction with antenatal care in Palestine–A cluster randomized controlled trial
Authors: Bogale Binyam , Mørkrid Kjersti , Abbas Eatimad , Abu Ward Itimad , Anaya Firas , Ghanem Buthaina , Hijaz Taghreed , Isbeih Mervett , Issawi Sally , A. S. Nazzal Zaher , E. Qaddomi Sharif , Frøen J. Frederik 
Published: April 2021

Background
The eRegCom cluster randomized controlled trial assesses the effectiveness of targeted client communication (TCC) via short message service (SMS) to pregnant women, from a digital maternal and child health registry (eRegistry) in Palestine, on improving attendance and quality of care. In this paper, we assess whether this TCC intervention could also have unintended consequences on pregnant women’s worries, and their satisfaction with antenatal care (ANC).

Methods
We interviewed a sub-sample of Arabic-speaking women attending ANC at public primary healthcare clinics, randomized to either the TCC intervention or no TCC (control) in the eRegCom trial, who were in 38 weeks of gestation and had a phone number registered in the eRegistry. Trained female data collectors interviewed women by phone from 67 intervention and 64 control clusters, after securing informed oral consent. The Arabic interview guide, pilot-tested prior to the data collection, included close-ended questions to capture the woman’s socio-demographic status, agreement questions about their satisfaction with ANC services, and the 13-item Cambridge Worry Scale (CWS). We employed a non-inferiority study design and an intention-to-treat analysis approach.

Results
A total of 454 women, 239 from the TCC intervention and 215 from the control arm participated in this sub-study. The mean and standard deviation of the CWS were 1.8 (1.9) for the intervention and 2.0 (1.9) for the control arm. The difference in mean between the intervention and control arms was -0.16 (95% CI: -0.31 to -0.01) after adjusting for clustering, which was below the predefined non-inferiority margin of 0.3. Women in both groups were equally satisfied with the ANC services they received.

Conclusion
The TCC intervention via SMS did not increase pregnancy-related worries among recipients. There was no difference in women’s satisfaction with the ANC services between intervention and control arms.
A novel approach to dry weight adjustments for dialysis patients using machine learning
Authors: Kim Hae Ri , Bae Hong Jin , Jeon Jae Wan , Ham Young Rok , Na Ki Ryang , Lee Kang Wook , Hyon Yun Kyong , Choi Dae Eun 
Published: April 2021

Background and aimsKnowledge of the proper dry weight plays a critical role in the efficiency of dialysis and the survival of hemodialysis patients. Recently, bioimpedance spectroscopy(BIS) has been widely used for set dry weight in hemodialysis patients. However, BIS is often misrepresented in clinical healthy weight. In this study, we tried to predict the clinically proper dry weight (DWCP) using machine learning for patient’s clinical information including BIS. We then analyze the factors that influence the prediction of the clinical dry weight.MethodsAs a retrospective, single center study, data of 1672 hemodialysis patients were reviewed. DWCPdata were collected when the dry weight was measured using the BIS (DWBIS). The gap between the two (GapDW) was calculated and then grouped and analyzed based on gaps of 1 kg and 2 kg.ResultsBased on the gap between DWBISand DWCP, 972, 303, and 384 patients were placed in groups with gaps of <1 kg, ≧1kg and <2 kg, and ≧2 kg, respectively. For less than 1 kg and 2 kg of GapDW, It can be seen that the average accuracies for the two groups are 83% and 72%, respectively, in usign XGBoost machine learning. As GapDWincreases, it is more difficult to predict the target property. As GapDWincrease, the mean values of hemoglobin, total protein, serum albumin, creatinine, phosphorus, potassium, and the fat tissue index tended to decrease. However, the height, total body water, extracellular water (ECW), and ECW to intracellular water ratio tended to increase.ConclusionsMachine learning made it slightly easier to predict DWCPbased on DWBISunder limited conditions and gave better insights into predicting DWCP. Malnutrition-related factors and ECW were important in reflecting the differences between DWBISand DWCP.
Understanding the impact of high-risk human papillomavirus on oropharyngeal squamous cell carcinomas in Taiwan: A retrospective cohort study
Authors: Lorenzatti Hiles Guadalupe , Chang Kai-Ping , Bellile Emily L. , Wang Chun-I , Yen Wei-Chen , Goudsmit Christine M. , Briggs Hannah L. , Thomas Trey B. , Peters Lila , Afsari Macy A. , Pinatti Lisa M. , Morris Anna C. , Jawad Nadine , Carey Thomas E. , Walline Heather M. 
Published: April 2021

Background and objectivesHuman papillomavirus (HPV)-driven oropharyngeal squamous cell carcinoma (OPSCC) is increasing globally. In Taiwan, HPV-positive OPSCC is obscured by tobacco, alcohol, and betel quid use. We investigated the role of high-risk HPV (hrHPV) in a large retrospective Taiwan OPSCC cohort.Methods and resultsThe cohort of 541 OPSCCs treated at Chang Gung Memorial Hospital from 1998–2016 consisted of 507 men (94%) and 34 women (6%). Most used tobacco (81%), alcohol (51%), and betel quid (65%). Formalin-fixed, paraffin-embedded tissue was used for p16 staining (a surrogate marker for HPV) and testing for HPV DNA presence and type by Multiplex HPV PCR-MassArray. HPV DNA and/or p16 staining (HPV-positive) was found in 28.4% (150/528) tumors. p16 and HPV DNA were strongly correlated (F< 0.0001). HPV16 was present in 82.8%, and HPV58 in 7.5% of HPV-positive tumors. HPV was associated with higher age (55.5 vs. 52.7 years,p= 0.004), lower T-stage (p= 0.008) better overall survival (OS) (hazard ratio [HR] 0.58 [95% CI 0.42–0.81],p= 0.001), and disease-free survival (DFS) (HR 0.54 [95% CI 0.40–0.73],p< 0.0001). Alcohol was strongly associated with recurrence and death (OS: HR 2.06 [95% CI 1.54–2.74],p< 0.0001; DFS: HR 1.72 [95% CI 1.33–2.24],p< 0.0001). OS and DFS in HPV-positive cases decreased for alcohol users (p< 0.0001). Obscured by the strong alcohol effect, predictive associations were not found for tobacco or betel quid.ConclusionsAs with HPV-positive OPSCC globally, HPV is an increasingly important etiological factor in Taiwanese OPSCC. HPV-positive OPSCC has considerable survival benefit, but this is reduced by alcohol, tobacco, and betel quid use. hrHPV is a cancer risk factor in males and females. Vaccinating both sexes with a multivalent vaccine including HPV58, combined with alcohol and tobacco cessation policies will be effective cancer-prevention public health strategies in Taiwan.
USO DE DADOS METEOROLÓGICOS DE REANÁLISE PARA A SIMULAÇÃO DA VAZÃO NA BACIA HIDROGRÁFICA DO RIBEIRÃO DO PINHAL, LIMEIRA/SP
Authors: Batista Alves João Carlos , Lopes Martins Letícia , Araújo Martins Wander , Leite de Moraes Jener Fernando , Constantino Blain Gabriel 
Published: April 2021

A grande preocupação com a preservação dos recursos hídricos demanda estudos capazes de avaliar e mitigar os impactos decorrentes das ações antrópicas. O uso de modelos hidrológicos constitui-se numa ferramenta importante, pois permitem simular diferentes cenários e seus impactos na disponibilidade hídrica. No entanto, a complexidade de obter dados meteorológicos observados, torna necessária a utilização de outras fontes de dados. Objetivou-se avaliar se com a utilização de dados meteorológicos de reanálise obtidos do modelo Climate Forecast System Reanalysis (CFSR) é possível calibrar o modelo Soil and Water Assessment Tool (SWAT) e simular a produção de água numa bacia hidrográfica. A área de estudo é a bacia hidrográfica do Ribeirão do Pinhal (BHRP), situada no município de Limeira-SP. Utilizou-se o modelo SWAT para simulação hidrológica com os dados meteorológicos observados e de reanálise. Foi possível calibrar o modelo SWAT utilizando os dados meteorológicos observados e de reanálise. Porém, o ajuste foi melhor quando se utilizou os dados meteorológicos observados. A vazão simulada utilizando dados de reanálise foi superestimada. Os dados meteorológicos de reanálise são adequados para simulações hidrológicas com o modelo SWAT, o que é evidenciado por meio dos índices estatísticos satisfatórios obtidos no procedimento de calibração do modelo SWAT.
Mediating role of strategic orientations in the relationship between entrepreneurial orientation and performance of Saudi SMEs
Authors: Abdulrab Mohammed , Al-Mamary Yaser Hasan Salem , Alwaheeb Mohammed A. , Alshammari Naif Ghazi M. , Balhareth Hamad , Al-Shammari Serhan A. 
Published: April 2021

Goal: This study aims to examine the mediating role of strategic orientations in the relationship between entrepreneurial orientation and performance of small and medium enterprises (SMEs) in Saudi Arabia.
Design/Methodology/Approach: Quantitative analysis techniques is used in this study. Data from 206 KSA owners / managers of SMEs is obtained and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM).
Results: Findings indicate that strategic orientations mediate the relationship between entrepreneurial orientation and performance of SMEs in Saudi Arabia.
Limitations of the investigation: The proposed model may not be generalised and must be applied in other contexts and cultures.
Practical implications: This study indicates that KSA managers should maintain emphasis on entrepreneurship and establish unique strategic techniques to improve efficiency. Policymakers are recommended to establish entrepreneurship initiatives for SMEs to form entrepreneurship. Additional recommendations are also provided.
Originality / Value: This study adds to the current body of knowledge by addressing the mediating role of market and technology orientation in the relationship between entrepreneurial orientation and performance of Saudi SMEs.
Commodification or shared ownership? A case study of Chinese communities in the linguistic landscape of Bendigo
Authors: Yao Xiaofang 
Published: April 2021

Abstract
Current linguistic landscape studies of tourism are primarily concerned with the commodification of languages, and less attention is focused on ownership discourses that are constructed in tourist spaces through varied semiotic resources. This study employs a spatial perspective to analyse commodification and ownership in the linguistic landscape of Bendigo, Victoria, Australia, focusing on how these discourses materialise in the conceived, perceived, and lived spaces through the semiotic resources of Chinese communities. Built on a comprehensive dataset of photographs, field notes, interviews, and archived materials, this study reveals the agency of Bendigo’s Chinese community members, who claim ownership of semiotic resources despite the institutional forces seeking to commodify Chinese cultural heritage for tourist consumption. Examination of Chinese heritage sites demonstrates the possibility of shared ownership of Chinese semiotic resources among Chinese and non-Chinese residents in an Australian cultural tourism context. This balancing act of commodification and ownership constitutes a critical part of the lived experiences of Chinese communities in today’s era of mobility and globalisation.
Deep convolutional neural network for chronic kidney disease prediction using ultrasound imaging
Authors: Patil Smitha , Choudhary Savita 
Published: April 2021

AbstractObjectivesChronic kidney disease (CKD) is a common disease and it is related to a higher risk of cardiovascular disease and end-stage renal disease that can be prevented by the earlier recognition and diagnosis of individuals at risk. Even though risk factors for CKD have been recognized, the effectiveness of CKD risk classification via prediction models remains uncertain. This paper intends to introduce a new predictive model for CKD using US image.MethodsThe proposed model includes three main phases “(1) preprocessing, (2) feature extraction, (3) and classification.” In the first phase, the input image is subjected to preprocessing, which deploys image inpainting and median filtering processes. After preprocessing, feature extraction takes place under four cases; (a) texture analysis to detect the characteristics of texture, (b) proposed high-level feature enabled local binary pattern (LBP) extraction, (c) area based feature extraction, and (d) mean intensity based feature extraction. These extracted features are then subjected for classification, where “optimized deep convolutional neural network (DCNN)” is used. In order to make the prediction more accurate, the weight and the activation function of DCNN are optimally chosen by a new hybrid model termed as diversity maintained hybrid whale moth flame optimization (DM-HWM) model.ResultsThe accuracy of adopted model at 40th training percentage was 44.72, 11.02, 5.59, 3.92, 3.92, 3.57, 2.59, 1.71, 1.68, and 0.42% superior to traditional artificial neural networks (ANN), support vector machine (SVM), NB, J48, NB-tree, LR, composite hypercube on iterated random projection (CHIRP), CNN, moth flame optimization (MFO), and whale optimization algorithm (WOA) models.ConclusionsFinally, the superiority of the adopted scheme is validated over other conventional models in terms of various measures.
Doxorubicin loaded magnetism nanoparticles based on cyclodextrin dendritic-graphene oxide inhibited MCF-7 cell proliferation
Authors: Mihanfar Ainaz , Targhazeh Niloufar , Sadighparvar Shirin , Darband Saber Ghazizadeh , Majidinia Maryam , Yousefi Bahman 
Published: April 2021

Abstract
Doxorubicin (DOX) is an effective chemotherapeutic agent used for the treatment of various types of cancer. However, its poor solubility, undesirable side effects, and short half-life have remained a challenge. We used a formulation based on graphene oxide as an anticancer drug delivery system for DOX in MCF-7 breast cancer cells, to address these issues. In vitro release studies confirmed that the synthesized formulation has an improved release profile in acidic conditions (similar to the tumor microenvironment). Further in vitro studies, including MTT, uptake, and apoptosis assays were performed. The toxic effects of the nanocarrier on the kidney, heart and liver of healthy rats were also evaluated. We observed that the DOX-loaded carrier improved the cytotoxic effect of DOX on the breast cell line compared to free DOX. In summary, our results introduce the DOX-loaded carrier as a potential platform for in vitro targeting of cancer cells and suggest further studies are necessary to investigate its in vivo anti-cancer potential.
A tale of two skeletons?
Authors: Kennedy Scott 
Published: April 2021

Abstract
The body of almost every Roman or Byzantine emperor has been lost. This piece draws attention to two skeletons, recovered from a Muslim türbe at Trabzon during World War I by the Russian excavator Feodor Uspensky. Using local oral tradition, Uspensky identified the two bodies he recovered as the Byzantine emperor of Trebizond Alexios IV (1417-1429) and a local Turkish hero Hoşoğlan. Since Uspensky, his identifications have not been challenged nor scientifically examined. This paper argues that Uspensky did not recover just one but two imperial skeletons. It first dissects his identifications, showing how competition for sacred space between Greeks and Turks in the Ottoman period led each community to identify the tomb’s occupants with foundational figures in their communities. After dissecting Uspensky’s identifications, this paper then makes the case that both occupants of this tomb were unidentified members of the Grand Komnenoi family, urging for scientific examination of what may be the only bones of a Byzantine emperor.
Proximal gradient method based robust Capon beamforming against large DOA mismatch
Authors: Thakur Diksha , Baghel Vikas , Talluri Salman Raju 
Published: April 2021

Abstract
The Capon beamformer has excellent resolution and interference suppression capability but due to various attributes of practical environment such as inaccurate and/or insufficient information about the source, transmission medium and antenna array its performance deteriorates. To enhance its performance various efforts have been devoted and one effective method is presented here. In this paper, a novel and efficient robust Capon beamformer is devised which is based on proximal gradient method (PGRCB) and the robustness is achieved through remodeling the optimization problem of standard Capon beamformer (SCB). In the proposed PGRCB, the proximal gradient method is used to formulate a new optimization problem in order to obtain the optimum weights of the robust beamformer. The proposed method can achieve better performance as compared to some recent methods in the literature and its effectiveness is verified by the simulation results.
Growth Marketing Considered Harmful
Authors: Speicher Maximilian 
Published: April 2021

Abstract
In today’s e-commerce industry, conversion rate optimization is often considered essentially the same as user experience optimization. In addition, there is a strong focus on quantitative experimentation, which some deem a jack-of-all-trades solution, often at the expense of qualitative user experience research. Both are worrying developments. This essay elaborates on why it is harmful to consider conversion rate optimization and user experience optimization to be the same thing in the context of growth marketing, and how the three concepts are interrelated.
Paper2Wire – A Case Study of User-Centred Development of Machine Learning Tools for UX Designers
Authors: Buschek Daniel , Anlauff Charlotte , Lachner Florian 
Published: April 2021

Abstract
This paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A user study (N=20) with a working prototype shows that this concept is preferred by designers, compared to the previous manual procedure. Reflecting on our process and findings we discuss lessons learned for developing ML tools that respect practitioners’ needs and practices.
Evaluation of an Augmented Reality Instruction for a Complex Assembly Task
Authors: Funk Johannes , Schmidt Ludger 
Published: April 2021

Abstract
This study compares the use of a marker-based AR instruction with a paper instruction commonly used in manual assembly. Hypotheses were tested as to whether the instruction type affects assembly time, number of errors, usability, and employee strain. Instead of student participants and artificial assembly tasks (e. g. Lego assemblies), the study was conducted with 16 trainees in a real workplace for the assembly of emergency door release handles in rail vehicles. Five assembly runs were performed. Assembly times and assembly errors were determined from recorded videos. Usability (SUS) and strain (NASA-TLX) were recorded with questionnaires. After a slower assembly at the beginning, the AR group assembled significantly faster in the fifth run. The comparable number of errors, usability and strain make marker-based AR applications interesting for knowledge transfer in manual assembly, especially due to the easy entrance and low costs.
Polycystic ovary syndrome and reproductive health of women: a curious association
Authors: Zehravi Mehrukh , Maqbool Mudasir , Ara Irfat 
Published: April 2021

Abstract
Reproductive health is a broad concept that encompasses mortality, morbidity, and quality of life associated with the reproductive system, mechanism, and incidents encountered at all ages by men and women. Orthodox Indian society finds the conversation on reproductive health to be a taboo and discourages open conversations about it. Polycystic ovary syndrome (PCOS) is a reproductive-age metabolic endocrine disorder found in females. Females suffering from PCOS are prone to reproductive, metabolic, and cardiovascular disorders. In this paper, we will systematically review about effect of PCOS on Reproductive Health of Women. The numerous electronic databases such as: BMJ, LANCET, PUBMED, Unicef Website, WHO Website and Google Scholar have been comprehensively searched for studies linked to PCOS, its various effects and effect on women’s reproductive health. For additional analyses, we have reviewed reference lists of reviews and collected papers. The effects of PCOS on women’s reproductive health have been verified by several scientific reports worldwide. PCOS is a hormonal condition, as per multiple reports, with the ability to lead to different outcomes. It still appears to be a common cause among females of infertility. An integral aspect of the treatment of this disease is the early diagnosis of long-term morbidities by effective screening tests. In the future, studies must concentrate on the missing holes in our growing perception of this disease. Several studies have confirmed that reproductive morbidity, including irregular uterine bleeding, abortion, miscarriage, and other risk of pregnancy during reproductive years, is associated with PCOS. PCOS is an amalgam of physiological and psychosocial dysfunction, not just an endocrine disorder.
A novel micro-spiral pneumatic selection system for the separation of fresh tea leaves
Authors: Cao Miaolong , Yang Yuanjian , Wu Chuanyu , Cai Chenggan 
Published: April 2021

Abstract
There are no standard machines or systems used for grading the new tea leaves in the market, a micro-spiral pneumatic selection system was designed to separate fresh tea leaves, solving the difficulties in tea leaf selecting and separation. The system can flexibly separate the tea leaves continuously in high quality. And the simulation model was established based on the experiments results to optimize the design parameters. The maximum constant air flow rate separation tests showed that the symmetrical distribution effect of six tubular fans provided better balance than four tubular fans, and three grades of fresh tea can be differentially sorted. Additionally, solid particle simulation tests showed that separation begins at heights between 0.27 and 0.37 m. When the air flow rates range from 4.4 to 6.6 m/s, fresh tea leaves containing only one leaf per stem are well separated from multi-leaf containing stems. Furthermore, solid particle simulation tests indicated that different sizes of fresh tea leaves can be distributed in corresponding annular regions of specific widths; therefore, the flow field simulation tests showed that an optimized system could separate tea leaves according to the number of leaves on the stem. To sum, this study reported a novel micro-spiral pneumatic selection system with high efficiency for the separation of fresh tea leaves.
The Religious Sciences in Ancient Egypt
Authors: von Lieven Alexandra 
Published: April 2021

Abstract
Within the Ancient Egyptian temple, science was an important occupation for certain specialized priests. Two fields particularly well documented are astronomy and astrology on the one hand, and medicine on the other. For the medical practitioners, namely the Sakhmet priest and the Leader of Serqet, there are even special manuals for their use attested. The paper presents some of the evidence and discusses it within its cultural context.