bluuebunny/crossref_metadata_2025_split huggingface dataset:
PAPR reduction and low power-consumption LDO in OFDM transceiver
Authors: Liu Bing , WU HONG 
Published: September 2022

Abstract

Phase noise performance is critical for millimeter-wave communication system with OFDM modulation. This paper analyzes the causes of phase noise by multi-carrier modulation and hardware issues, and the selectable parameters in clipping algorithm is determined to maintain an accectable PAPR performance. The acquired parameters and PAPR results is applied in an adjustable LDO circuit to maintain a low current consumption. The simulation result indicates that the algorithm and the circuit may help to get a better performance.
The FASHION Visual Search using Deep Learning Approach
Authors: Bhoir Smita , Patil Sunita 
Published: September 2022

Abstract
In recent years, the World Wide Web (WWW) has established itself as a popular source of information. Using an effective approach to investigate the vast amount of information available on the internet is essential if we are to make the most of the resources available. Visual data cannot be indexed using text-based indexing algorithms because it is significantly larger and more complex than text. Content-Based Image Retrieval, as a result, has gained widespread attention among the scientific community (CBIR). Input into a CBIR system that is dependent on visible features of the user's input image at a low level is difficult for the user to formulate, especially when the system is reliant on visible features at a low level because it is difficult for the user to formulate. In addition, the system does not produce adequate results. To improve task performance, the CBIR system heavily relies on research into effective feature representations and appropriate similarity measures, both of which are currently being conducted. In particular, the semantic chasm that exists between low-level pixels in images and high-level semantics as interpreted by humans has been identified as the root cause of the issue. There are two potentially difficult issues that the e-commerce industry is currently dealing with, and the study at hand addresses them. First, handling manual labeling of products as well as second uploading product photographs to the platform for sale are two issues that merchants must contend with. Consequently, it does not appear in the search results as a result of misclassifications. Moreover, customers who don't know the exact keywords but only have a general idea of what they want to buy may encounter a bottleneck when placing their orders. By allowing buyers to click on a picture of an object and search for related products without having to type anything in, an image-based search algorithm has the potential to unlock the full potential of e-commerce and allow it to reach its full potential. Inspired by the current success of deep learning methods for computer vision applications, we set out to test a cutting-edge deep learning method known as the Convolutional Neural Network (CNN) for investigating feature representations and similarity measures. We were motivated to do so by the current success of deep learning methods for computer vision applications (CV). According to the experimental results presented in this study, a deep machine learning approach can be used to address these issues effectively. In this study, a proposed Deep Fashion Convolution Neural Network (DFCNN) model that takes advantage of transfer learning features is used to classify fashion products and predict their performance. The experimental results for image-based search reveal improved performance for the performance parameters that were evaluated.
Medical Cyberspace Subliminal Affective Collective Consciousness: Machine Learning Discriminates Back Pain vs Hip/Knee Osteoarthritis Web Pages Emotional Fingerprints
Authors: Caldo Davide , Bologna Silvia , Conte Luana , Amin Muhammad Saad , Anselma Luca , Basile Valerio , Murad Hossain , Mazzei Alessandro , Heritier Paolo , Ferracini Riccardo , Kon Elizaveta , De Nunzio Giorgio 
Published: September 2022

Abstract

Background - Dynamic interplay between the patients and digital information subliminal affective content may play a peculiar role in emergence of musculoskeletal degenerative chronic pain in modern society, within the combined theoretical frames of somatic marker theory and complex adaptive system theory, and cyberspace algorithm mechanism. This field of research lacks systematic investigation so far.
Goal - Digital information affective content pertaining back pain was confronted with the one related to hip/knee osteoarthritis
Methods - Top English internet pages related to the topics of interest were automatically selected by relevance/popularity, downloaded, then submitted to sentiment analysis; Machine Learning algorithms classified the output. Statistical association and predictivity were determined.
Results - ML showed high discrimination accuracy predicting the page topic from the emotional fingerprint. The emotion Disgust emerged as a singular discriminating factor in the case study
Discussion - The potential effects of disgust presence in different chronic degenerative conditions on internet texts is discussed. The potential role for a “Digital Affective Collective Consciousness” system is also discussed, and its potential contribution to psychosocial pathogenesis, maintenance and treatment outcome when biopsychosocial diseases are concerned, with implication for ethics and digital healthcare information policy
Influence of birth weight on surgical outcomes in infants with necrotizing enterocolitis.
Authors: Zahradníková Petra , Babala Jozef , Fedorová Lenka , Pechanová Rebeka , Nedomová Barbora 
Published: September 2022

Abstract
Background: NEC is a leading cause of mortality and morbidity in extremely low birth weight (ELBW) infants. The primary aim of the study was to evaluate the risk factors for surgical NEC in ELBW infants, and the second goal was to find out post-operative complications, with specific emphasis on stoma related complications.
Methods: A retrospective analysis of surgically treated NEC during the 20-year period from 2001-2020 in a single-center was performed. Postoperative complications were classified according to the Clavien-Dindo Classification (CDC). Patients were divided into 2 groups according to birth weight: ELBW (birth weight ≤ 1000 g) and VLBW (very low birth weight ≤ 1500 g).
Results: A total of 97 patients meet the pre-determined eligibility criteria and were included in the study. The proportion of male infants in the ELBW was significantly higher than in VLBW group, (odd ratio [OR] = 5.54 [95% CI, 1.68-14.38]; p = 0.003). Lower Apgar score (AS) in the 1 minute in the ELBW group was significantly associated with the NEC progression (p ˂ 0.001). Stoma creation was more often used in the ELBW than in VLBW group (OR = 4.571 [95% CI, 1.186-16.11]; p =0.023). A total of 49 (72%) infants had postsurgical complication, which was significant greater in the ELBW 44/50 (88%) than the VLBW group 5/18 (27.78%) (OR = 19.07 [95% CI, 4.669-77.09]; p˂ 0.0001). In total, 22 out of 40 ELBW infants with enterostomy (55%) had at least one stoma complication. The overall rate of mortality (CDC: V) was 25/68 patients (36.7%). There was nonsignificant difference between the 2 groups regarding the mortality rate (p = 0.406).
Conclusions: Our results showed that the risk factors associated with the surgical NEC in ELBW infants include low birth weight, low gestational age, male gender, and low AS in 1 minute. ELBW infants had a higher complication rate and most of them required reoperation. The type of stoma configuration had no impact on the complication rate. Mortality rate was not affected by the birthweight.
The Prevalence of Chiropractic-specific Terminology on South African Chiropractors’ Websites: a Cross-sectional Study
Authors: Ismail Fatima , Pretorius Michael , Peterson Cynthia , Yelverton Christopher James 
Published: September 2022

Abstract
Background: Effective communication is imperative for successful interprofessional collaborative interactions that augment both patient centred, and evidence based care. Inquiry into the prevalence of chiropractic-specific terminology on South African chiropractor’s websites has not been explored to date. The implications of such analysis could indicate the professions’ ability to effectively communicate in interdisciplinary settings.
Method: A Google search was utilised to access South African chiropractor practice websites. Websites were then word-searched for eight chiropractic terms and the context with which these terms were used were screened: subluxation, manipulate (-ion), adjust (-ing/-ment), holism (-tic), alignment, vital (-ism/-istic), wellness, and innate intelligence. The data collected was transferred to an Excel spreadsheet, that was verified by the researchers. The number of instances these terms were used, and certain socio-demographic data were recorded both nationally and provincially where descriptive and correlational statistics were applied using cross-tabulations and multi-dimensional chi-squared tests.
Results: Based on an estimate of 884 chiropractors practising in South Africa, 336 websites were appraised. A total of 67.2% of South African chiropractor websites used chiropractic-specific terminology more than once. Nation-wide prevalence of each chiropractic-specific term was: 1106 occurrences for adjust(-ing/-ment), 611 for manipulate(-ion), 324 for wellness, 231 for subluxation, 220 for alignment, 139 for holism(-tic), 2 for innate intelligence and 1 for vital(-ism/-istic), Western Cape having the highest prevalence. Manipulate(-ion) was used more by male than female chiropractors (p=0.032). The longer a chiropractor was in practice the more likely they were to use profession-specific terms like adjust(-ing/-ment) (p=0.027) or alignment (p=0.001). Correlations exist between adjust(-ing/-ment) (p=0.000), alignment (p=0.000), manipulate(-ion) (p=0.025) and wellness (p=0.001) to the term subluxation. The words wellness (p=0.000) and manipulate(-ion) (p=0.011) also showed a correlation to the term holism.
Conclusion: South African chiropractors on average use at least one chiropractic-specific term on their websites, and the more years of practice one has, the more likely they were to use chiropractic-specific terminology. The male sex showed a preference for the term manipulate(-ion). Adjustment (-ing/-ment) was the most commonly used term, a term that generally lacks medical acceptance. The use of certain combinations of chiropractic-specific terms showed statistically significant correlational trends.
Identification of F1 hybrid progenies in mango based on Fluorescent SSR markers
Authors: Li Xing , Zheng Bin , Xu Wentian , Ma Xiaowei , Wang Songbiao , Qian Minjie , Wu Hongxia 
Published: September 2022

Abstract
Background
Artificial cross breeding (hand pollination) is an important method for breeding new mango cultivars. It is easy to produce false hybrids during hybridization, which makes it difficult to distinguish the authenticity of hybrid offspring. Therefore, it is necessary to identify the authenticity of hybrids.
Results
Mango ‘Jinhuang’ and ‘Renong No.1’ and 65 individual plants of their F1 hybrids were used as experimental materials, eight SSR primer pairs with polymorphism in parents were used to identify the F1 hybrids by capillary electrophoresis. The results showed that a total of 62 true hybrids were identified from 65 hybrid progenies, and the true hybrid rate was 95.38%. According to the segregation type of co-dominant SSR markers in F1 generation, the segregation ratio of different alleles at the same locus of eight markers was performed by x2 test. Results showed that eight SSR loci were consistent with Mendel’s segregation law. The results of cluster analysis showed that the parents and 62 true hybrids could be classified into two categories at 0.58: the first category contained 27 offspring, clustered with ‘Jinhuang’ and showed a maternal genetic tendency. The second category contained 35 offspring, clustered with ‘Renong No.1’ and showed a partial paternal genetic tendency. DNA fingerprint of hybrids from ‘Jinhuang’ × ‘Renong No.1’ cross were constructed using eight SSR primers for variety protection.
Conclusion
We used eight SSR fluorescent markers to test the authenticity of hybrids derived from crossing combinations of ‘Jinhuang’ and ‘Renong No.1’. A total of 62 true hybrids were identified from 65 hybrid progenies, which would lay a foundation for the follow-up mango cross breeding and molecular marker assisted breeding. In addition, the development of hybrid fingerprints could facilitate variety protection.
Robson classification of caesarean births: implications for reducing caesarean section rate in a private tertiary hospital in Nigeria
Authors: Akadri Adebayo Adekunle , Imaralu John Osaigbovo , Salami Omotayo Felicia , Nwankpa Chimaobi Chukwuemeka , Adepoju Akinmade Adekunle 
Published: September 2022

Abstract
Background: Caesarean section (CS) is a potentially lifesaving obstetric procedure. However, there are concerns about the rising CS rate in many countries of the world including Nigeria. The Ten-Group Robson classification system is presently recommended as an effective monitoring tool for comparing CS rates and identifying target groups for intervention aimed at reducing the rates. The aim of this study was to evaluate the cesarean section rate and the groups with the highest risk of CS at the Obstetric unit of Babcock University Teaching Hospital (BUTH), using the Robson classification system.
Methods:A cross-sectional study involving 447 women who had their deliveries at the obstetric unit of BUTH between August 2020 and February 2022. Relevant information was retrieved from the delivery records of the study participants. Data were analyzed using the IBM-SPSS Statistics for Windows version 23.0 (IBM Corp., Armonk, NY, USA).
Results: The overall caesarean section rate was 51.2%. Robson groups 2, 3, 5, and 10 had the largest contribution to CS rate accounting for 34.5%, 14.0%, 12.6%, and 10.0% of overall rate respectively. Maternal age greater than 30 years (AOR 2.1, CI 1.3-3.2; P=0.001) and non-cephalic presentation (AOR 19.7, CI 2.5-151.8; P= 0.004) increased the likelihood of caesarean delivery. However, gestational age between 37-40 weeks was associated with a 60% reduction in likelihood of caesarean births when compared with gestational age below 37 weeks (AOR 0.4, CI 0.2-0.8; P=0.008).
Conclusions: The caesarean section rate in BUTH is high and Robson groups 2, 3, 5, and 10 are the major contributors to this high rate. Interventions targeted at these groups will assist in reducing caesarean section rates in BUTH. The Robson classification system is useful in providing a benchmark for future comparison of caesarean section rates within and across different obstetric units and regions in Nigeria.
Unintended Consequences of Communicating Rapid COVID-19 Vaccine Policy Changes– A qualitative study of health policy communication in Ontario, Canada
Authors: Vernon-Wilson Elizabeth , Tetui Moses , Nanyonjo Agnes , Adil Maisha , Bala Arthi , Nelson David , Sayers Emma , Waite Nancy , Grindrod Kelly 
Published: September 2022

Abstract
Background: The success of the COVID-19 vaccination roll-out depended on clear policy communication and guidance to promote and facilitate vaccine uptake. The rapidly evolving pandemic circumstances led to many vaccine policy amendments. The impact of changing policy on effective vaccine communication and its influence in terms of societal response to vaccine promotion are underexplored; this qualitative research addresses that gap within the extant literature.
Methods: Policy communicators and community leaders from urban and rural Ontario participated in semi-structured interviews (N=29) to explore their experiences of COVID-19 vaccine policy communication. Thematic analysis was used to produce representative themes.
Results: Analysis showed rapidly changing policy was a barrier to smooth communication and COVID-19 vaccine roll-out. Continual amendments had unintended consequences, stimulating confusion, disrupting community outreach efforts and interrupting vaccine implementation. Policy changes were most disruptive to logistical planning and community engagement work, including community outreach, communicating eligibility criteria, and providing translated vaccine information to diverse communities.
Conclusions: Vaccine policy changes that allow for prioritized access can have the unintended consequence of limiting communities’ access to information that supports decision making. Rapidly evolving circumstances require a balance between adjusting policy and maintaining simple, consistent public health messages that can readily be translated into action. Information access is a factor in health inequality that needs addressing alongside access to vaccines.
Factors Significantly Impacting Consumer Acceptance of Entertainment, Domestic, and Housekeeping Smart Home IoT Devices
Authors: Chopra Shalini , Siyabi Nasar Al , Gulliver Stephen R. , Kyritsis Markos 
Published: September 2022

Abstract
Smart Home devices are IoT (Internet of Things) enabled devices used to enhance wellbeing within the home environment. Around 63% of IoT devices are Smart Home devices. Although IoT devices have been available for a while, recent studies show that acceptance of Smart Home devices is limited to innovators and early adopters. Interestingly it has been observed that some categories of Smart Home devices are more popular suggesting that there is variance in acceptance of IoT devices. This research investigates the differences in consumer acceptance of various Smart Home device categories. Smart Home devices were categorised into three categories: 1) Technology and Entertainment; 2) domestic appliances; 3) housekeeping devices. The research focuses on the investigation of the reasons and factors influencing behaviour intention and use behaviour for each of the defined Smart Home device categories. An adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) model was used to study technology acceptance. The PLS-SEM technique, facilitated by SmartPLS 3.0 software, was used to perform the analysis. Our study confirms that behavioural intention to adopt and use Smart Home devices, and the factors driving adoption, varies between Smart Home IoT categories. Accordingly, it is vital to consider device type distinctively when considering Smart Home IoT adoption and usage.
General Practice wide adaptations to support patients affected by DVA during the COVID-19 pandemic: a rapid qualitative study
Authors: Dixon Sharon , De Simoni Anna , Szilassy Eszter , Emsley Elizabeth , Wileman Vari , Feder Gene , Downes Lucy , Barbosa Estela Capelas , Panovska-Griffiths Jasmina , Griffiths Chris , Dowrick Anna 
Published: September 2022

Abstract
Background
Reporting of domestic violence and abuse (DVA) increased globally during the pandemic. General Practice has a central role in identifying and supporting those affected by DVA. Pandemic associated changes in UK primary care included remote initial contacts with primary care and predominantly remote consulting. This paper explores general practice’s adaptation to DVA care during the COVID-19 pandemic.
Methods
Remote semi-structured interviews were conducted by telephone with staff from six practices across six localities in England and Wales where the Identification and Referral to Improve Safety (IRIS) primary care DVA programme is commissioned. We conducted interviews between April 2021 and February 2022 with three practice managers, three reception and administrative staff, eight general practice clinicians and seven specialist DVA staff. Patient and public involvement and engagement (PPI&E) advisers with lived experience of DVA guided the project. Together we developed recommendations for primary care teams based on our findings.
Results
We present our findings within four themes, representing primary care adaptatations in delivering DVA care.
1. Making general practice accessible for DVA care
Staff adapted telephone triaging processes for appointments and promoted availability DVA support online.
2. General practice team-working to identify DVA
Practices developed new approaches of collaboration, including whole team adaptations to information processing and communication
3. Adapting to remote consultations about DVA
Teams were required to adapt to challenges including concerns about safety, privacy, and developing trust remotely.
4. Experiences of onward referrals for specialist DVA support
Support from specialist services was effective and largely unchanged during the pandemic
Conclusions
Disruption caused by pandemic restrictions revealed how team dynamics and interactions before, during and after clinical consultations contribute to identifying and supporting patients experiencing DVA. Remote assessment complicates access to and delivery of DVA care. This has implications for all primary and secondary care settings, within the NHS and internationally, which are vital to consider in both practice and policy.
ProfhEX: AI-based platform for small molecules liability profiling
Authors: Lunghini Filippo , Fava Anna , Pisapia Vincenzo , Sacco Francesco , Iaconis Daniela , Beccari Andrea Rosario 
Published: September 2022

Abstract

Drugs off-target interactions are one of the main reasons of candidate failure in the drug discovery process. Anticipating potential drug’s adverse effects in the early stages is necessary to minimize health risks on patients, animal testing, and economical costs. With the constantly increasing size of virtual screening libraries AI-driven methods can be exploited as first-tier screening tools proving liability estimation for drug candidates.
We present ProfhEX, an AI-driven suite of 46 OECD-compliant machine learning models able to profile small molecules on 7 relevant liability groups, namely: cardiovascular, central nervous system, gastrointestional, endocrine disruption, renal, pumlonary and immune response toxicities.
Experimental affinity data was collected from public and commercial data sources. The entire chemical space comprised 289’202 activity data for a total of 210’116 unique compounds, spanning over 46 targets with dataset sizes ranging from 819 to 18896. Gradient boosting and random forest algorithms were initially employed and ensembled for the selection of a champion model. Models were validated according to the OECD principles, including robust internal (cross validation, bootstrap, y-scrambling) and external validation.
Champion models achieved an average Pearson correlation coefficient of 0.84 (SD of 0.05), a R2determination coefficient of 0.68 (SD = 0.1) and a root mean squared error of 0.69 (SD of 0.08). All liability groups showed good hit-detection power with an average enrichment factor at 5 % of 13.1 (SD of 4.5) and AUC of 0.92 (SD of 0.05).
ProfhEX would be a useful tool for large-scale liability profiling of small molecules. This suite will be further expanded with the inclusion of new targets and by complementary modelling approaches, including structure-based and pharmacophore-based models. The platform is freely accessible at the following address: https://profhex.exscalate.eu/.