bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Automated Cell Line Authentication Method for AstraZeneca Global Cell Bank using Deep Neural Networks on Brightfield Images
Authors: Tong Lei , Corrigan Adam , Kumar Navin Rathna , Hallbrook Kerry , Orme Jonathon , Wang Yinhai , Zhou Huiyu 
Published: October 2021

Abstract
Cell line authentication is important in the biomedical field to ensure that researchers are not working with misidentified cells. Short tandem repeat is the gold standard method, but has its own limitations, including being expensive and time-consuming. Deep neural networks achieve great success in the analysis of cellular images in a cost-effective way. However, because of the lack of centralized available datasets, whether or not cell line authentication can be replaced or supported by cell image classification is still a question. Moreover, the relationship between the incubation times and cellular images has not been explored in previous studies. In this study, we automated the process of the cell line authentication by using deep learning analysis of brightfield cell line images. We proposed a novel multi-task framework to identify cell lines from cell images and predict the duration of how long cell lines have been incubated simultaneously. Using thirty cell lines’ data from the AstraZeneca Cell Bank, we demonstrated that our proposed method can accurately identify cell lines from brightfield images with a 99.8% accuracy and predicts the incubation durations for cell images with the coefficient of determination score of 0.927. Considering that new cell lines are continually added to the AstraZeneca Cell Bank, we integrated the transfer learning technique with the proposed system to deal with data from new cell lines not included in the pre-trained model. Our method achieved excellent performance with a sensitivity of 97.7% and specificity of 95.8% in the detection of 14 new cell lines. These results demonstrated that our proposed framework can effectively identify cell lines using brightfield images.
The Effect of Beam Direction on Absorption and Transmission of Ultraviolet to Infra-red Wave-length in Three Different Dentin Thicknesses
Authors: Eslami Elmira , Kazeminejad Ezatolah , Karimian Azizeh 
Published: October 2021

Abstract
BackgroundsLasers and optics have extensively been used in dental procedures in recent years, so realizing the optical properties of the tooth represents a milestone in its successful applications. the aim of this study was to compare the absorption and transmission of applied wavelengths in 190-1100 nm range in various dentin thicknesses and the effect of changing the direction of beam emission in dentinal tubules.MethodsFifteen dentin specimens with a thickness of 300, 600, and 1000 µm and five specimens from each thickness were prepared by a transverse incision at the upper pulpal roof area of the human molars.Considering the Corono-apical and Apico-coronal direction, we measured the absorption and transmission of parallel light beams perpendicular to the dentin specimens in various thicknesses and two directions using a UV/ Visible spectrometer.ResultsThe ultraviolet wavelength's absorption rate was significantly higher than visible and infrared light irradiation from both directions in three thicknesses (p-value<0.001). Additionally, The radiation beam displacement had no significant differences in the absorption and transmission of ultraviolet, visible, and infrared light in any of the three thicknesses (p-value>0.05).ConclusionAccording to the results, the change in the beam direction during irradiation does not cause a significant difference in light absorption. Furthermore, the results are expected to develop a suitable method for evaluating the trans-dental performance of different optical parameters for diagnostic purposes in the dental tissues.
Ovipositor sources for queen-rearing of honey bee (Apis mellifera) revealed inheritable maternal effect on reared queen
Authors: Yu Longtao , Shi Xinxin , He Xujiang , Yan Weiyu , Wu Xiaobo 
Published: October 2021

Abstract
Queen is arguably the most important member of a honey bee colony, and queen quality is crucial for honey bee colony growth and development. In this study, queens were reared with eggs laid in queen cells (QE), eggs laid in worker cells (WE) and 2-day old larvae in worker cells (L). Those physiological indexes (the weight, thorax size and number of ovarioles) of newly reared queens in each group were measured. Moreover, the reproductive potential of the newly reared queens and foraging ability of worker bees laid by the newly reared queens in each group were further explored. In addition, we also examined whether maternal effects would be transmitted to the offspring queens in honey bee. We found that the weight, number of ovarioles and thorax weight of newly emerged queens in QE were significantly higher than those in WE and L, suggesting the reproductive potential was stronger in QE group than WE and L group. Furthermore, offspring worker bees and queens of QE queens had higher weight at emergence than those from the other two groups. This study proved profound honey bee maternal effects on queen quality, which can be transmitted to their offspring. Our results of the present study were important for improving queen quality and promoting the development of beekeeping and agriculture.
Floristic Diversity, Population Structure, Regeneration Status and Socio-Economic Importance of Fach Forest, South Gondar, Northwestern Ethiopia
Authors: Zegeye Haileab 
Published: October 2021

Abstract
Background: The remaining natural forests of Ethiopia are only small patches mostly confined to inaccessible areas and sacred places. Fach forest is one of the remnant dry evergreen Afromontane forests (DAFs) in northwestern Ethiopia. There is lack of information on the vegetation ecology of the forest. Thus, the present study was conducted to investigate the floristic composition and diversity, population structure, regeneration status and socio-economic importance of Fach forest, and the anthropogenic factors affecting it.Methods: Vegetation data were collected from a total of 34 plots, measuring 20 m × 20 m (400 m2) each and established along line transects approximately at 100 m intervals. A general survey consisting of field observations, key-informant interviews and Focus Group Discussion (FGD) was used to collect socio-economic data. Results: A total of 230 vascular plant species belonging to 183 genera and 76 families were recorded from the study area, of which 45 (19.57%) were trees, 62 (26.97%) trees/shrubs, 37 (16.09%) shrubs, 13 (5.65%) woody climbers, 10 (4.35%) herbaceous climbers, and 63 (27.39%) herbs. The family with the highest number of species was Fabaceae (28 species, 12.17% of all species), followed by Asteraceae (18 species, 7.83%), Poaceae (13 species, 5.65%), and Acanthaceae and Euphorbiaceae (9 species each). The Shannon-Wiener diversity and evenness values of woody species were 3.53 and 0.72, and the total density and basal area 4938.24 individuals ha-1 and 19.17 m2 ha-1, respectively. The species with the highest Importance Value Index (IVI) value was Combretum molle (25.26%), followed by Olea europaea subsp. cuspidata (21.19%), Dodonaea angustifolia (17.80%), and Calpurnia aurea (15.05%). The local communities were highly dependent on the forest for fuelwood, construction material, charcoal, timber and farm implements, as well as food (edible fruits), medicines, fodder, and bee forage. Fach forest is a protected area and contains sacred places, but at present it is dwindling mainly due to livestock grazing/browsing, tree cutting for various purposes, farmland expansion, rural settlements expansion, urbanization, fire incidences, and exotic species plantations at the expense of the natural forest, as well as soil erosion and climate change.Conclusions: Fach forest possesses high plant diversity and endemism. Woody species having low IVI values and poor regeneration status (as indicated by the Diameter at Breast Height [DBH] class distributions) need high priority for conservation. Fach forest has been maintained to the present-day through the combined indigenous (sacred grove) and modern (protected area system) conservation methods, but is now under increasing human pressure. Therefore, effective conservation and management interventions are urgently needed to ensure the long-term maintenance of the forest ecosystem, and benefit the local communities through sustainable utilization of the forest.
Effects of Preoperative Drug Holiday On Sequester Separation and Treatment Outcome in Cancer Patients With Medication-Related Osteonecrosis of The Jaw
Authors: Otsuru Mitsunobu , Soutome Sakiko , Morishita Kota , Hayashida Saki , Murata Maho , Takagi Yukinari , Sasaki Miho , Sumi Misa , Yanamoto Souichi , Umeda Masahiro 
Published: October 2021

Abstract
We aimed to investigate whether antiresorptive agent drug holidays contributed to the formation of sequester separation and treatment outcome in medication-related osteonecrosis of the jaw (MRONJ) patients whose primary disease was malignancy. A total of 105 MRONJ patients with malignant tumors as the primary disease who underwent surgery at Nagasaki University Hospital and Kansai Medical University Hospital from January 2009 to December 2020 were included. We recorded patient age, sex, primary disease (solid cancer, non-solid cancer), MRONJ stage, type and administration period of antiresorptive agents, presence of diabetes, corticosteroid use, drug holiday period, white blood cell count, serum, albumin, serum creatinine, outcomes, and computed tomography findings. We examined the relationship between a drug holiday and sequester separation and outcome. Drug holiday of more than 90 days (P=0.629) was not a significant factor for sequester separation in the univariate analysis. In the multivariate analysis, steroid use (P=0.009) and serum albumin (P=0.003) were extracted as factors affecting prognosis; withdrawal for more than 90 days (P=0.98) was not a significant factor. MRONJ patients with cancer as the primary disease should be operated early without drug holidays if their general condition is relatively good, clinical symptoms are strong, and quality of life is improved.
Obtaining of Zinc Oxide Nanoparticles Modified With Galactose and Assessment of Their Cytotoxic Properties
Authors: Pulit-Prociak Jolanta , Staroń Anita , Długosz Olga , Domagała Dominik , Janczyk Katarzyna , Banach Marcin 
Published: October 2021

Abstract
The work presents the method for preparation of zinc oxide nanoparticles with galactose coating. Bare zinc oxide nanoparticles are well-known and popular drug delivers. However, the fact that zinc ions may be released from their structure easily, they may pose a threat to the living organism. Thus the modification of such a product has been performed. The physicochemical properties of the products have been analysed. XRD technique revealed crystallographic structure of the products. Based on ATR-FTIR analysis it was confirmed that galactose has been successfully attached to the zinc oxide nanoparticles. TEM-EDS microscopy was applied in order to assess the shape of nanoparticles and also for the confirmation of galactose on the particles surface. The releasing of zinc ions from the modified products was compared to their releasing from basic, non-modified sample. Also, cytotoxicity and proliferation of obtained products have been analysed with using Chinese hamster ovary cells. It was found out that the proposed technology may lead to obtain stable forms of modified zinc oxide nanoparticles with limited toxicity.
“I want to live, but…” The desire to live and its physical, psychological, and social factors among advanced cancer patients: Evidence from the APPROACH study in India
Authors: Joad Anjum S Khan , Hota Arati , Agarwal Pratima , Patel Krimal , Patel Kinjal , Puri Jyotika , Shin Soye 
Published: October 2021

Abstract
Background

The limited access to palliative care resources along with the social stigma around cancer largely explains the poor quality of life (QoL) of Indian advanced cancer patients. As advanced cancer patients with poor QoL often harbour a desire for hastened death (DHD), it is imperative to understand factors affecting DHD, or the desire to live (DTL) among advanced cancer patients in India. We aim to examine the relationship between DTL and physical, psychological, social and spiritual factors measuring patients’ QoL alongside their awareness of their late cancer stage.
Methods

We surveyed 200 patients from a tertiary cancer hospital in India to collect their DTL, awareness of cancer stage, demographic characteristics, and standardized measures for patients’ QoL. We used a linear probability regression model to quantify the association between these factors and patients’ DTL among the final sample of 192 patients with no missing information for the variables of interest.
Results

Among the various domains affecting cancer patients’ QoL, we found that the pain severity score (ranging from 0 to 10) and psychological distress score (ranging from 0 to 42) are negatively associated with the DTL. One point increase in each score reduced the DTL by 2.2% (p <0.05) and 0.7% (p <0.05), respectively. Our results also showed that patients whose perceived socio-economic status (SES) is poor have a 16% (p <0.05) lower probability of DTL, compared to those with higher SES (lower middle class, upper middle class, and wealthy). Controlling for caste, religion, gender, age, marital status and years of education, we found psychological distress is statistically higher among patients belonging to this bottom SES.
Conclusions

We found that pain severity, psychological distress and perceived low SES are negatively associated with the desire to live in advanced cancer patients. Future research should focus on developing interventions to improve physical pain and psychological distress, particularly for patients who are socially and economically disadvantaged.
Modified Guishen Pill Ameliorates Polycystic Ovary Syndrome in Rats Through Anti-inflammation and Modulating Gut Microbiota
Authors: Tian Jiayu , Zuo Ling , Xu Yanqiu , Xiong Yu , Zhan Quancao , Zeng Yan , Liu Yuzhe , Huang Xuekuan , wang jianwei 
Published: October 2021

Abstract
Background

Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder often accompanied by chronic low-grade inflammation. Western medicine often causes negative side effects, such as premature ovarian failure. Therefore, this study evaluates the efficacy of modified Guishen pill (MGP) in ameliorating letrozole-induced PCOS in rats.
Methods

Six-week-old specific-pathogen free (SPF) female Sprague-Dawley rats were randomly divided into a blank group (Blank), model group (Model), positive group (Diane-35, 0.2 mg/kg BW), high dose MGP group (H.MGP, 23.96 g/kg BW), medium dose MGP group (M.MGP, 11.98 g/kg BW), and low dose MGP group (L.MGP, 5.99 g/kg BW). After 4 weeks of treatment, plasma, ovaries, and fecal samples were collected from the rats for analysis.
Results

MGP treatment improved ovarian function by improving estrous cycle, ovarian morphology, and endocrine functions in letrozole-induced PCOS rats. MGP alleviated inflammation by reducing macrophage infiltration and inhibiting the activation of NF-κB and MAPK pathways in the ovaries of letrozole-induced PCOS rats. 16S rDNA sequencing of the intestinal microbiome indicated that MGP regulated gut microbiota structure and restored gut microbiota dysbiosis. MGP significantly increased the relative abundance of bifidobacteria at the order, family, and genus levels. Moreover, correlation analysis showed that gut microbiota were correlated with the host phenotype of letrozole-induced PCOS rats.
Conclusion

MGP treatment could ameliorate letrozole-induced PCOS by improving ovarian function, reducing inflammation, and regulating the gut microbiota.
Smoothing age/time structure of HIV prevalence, for optimal use in synthetic cohort based incidence estimation
Authors: Mhlanga Laurette , Eduard Grebe , Welte Alex 
Published: October 2021

Abstract
Population-based surveys which ascertain HIV status are conducted in heavily affected countries, with the estimation of incidence being a primary goal. Numerous methods exist under the umbrella of ‘synthetic cohort analysis’, by which we mean estimating incidence from the age/time structure of prevalence (given knowledge on mortality). However, not enough attention has been given to how serostatus data is ‘smoothed’ into a time/age-dependent prevalence, so as to optimise the estimation of incidence.To support this and other related investigations, we developed a comprehensive simulation environment in which we simulate age/time structured SI type epidemics and surveys. Scenarios are flexibly defined by demographic rates (fertility, incidence and mortality – dependent, as appropriate, on age, time, and time-since-infection) without any reference to underlying causative processes/parameters. Primarily using 1) a simulated epidemiological scenario inspired by what is seen in the hyper-endemic HIV affected regions, and 2) pairs of cross-sectional surveys, we explored A) options for extracting the age/time structure of prevalence so as to optimise the use of the formal incidence estimation framework of Mahiane et al, and B) aspects of survey design such as the interaction of epidemic details, sample-size/sampling-density and inter-survey interval.Much as in our companion piece which crucially investigated the use of ‘recent infection’ (whereas the present analysis hinges fundamentally on the estimation of the prevalence gradient) we propose a ‘one size fits most’ process for conducting ‘synthetic cohort’ analyses of large population survey data sets, for HIV incidence estimation: fitting a generalised linear model for prevalence, separately for each age/time point where an incidence estimate is desired, using a ‘moving window’ data inclusion rule. Overall, even in very high incidence settings, sampling density requirements are onerous.The general default approach we propose for fitting HIV prevalence to data as a function of age and time appears to be broadly stable over various epidemiological stages. Particular scenarios of interest, and the applicable options for survey design and analysis, can readily be more closely investigated using our approach. We note that it is often unrealistic to expect even large household based surveys to provide meaningful incidence estimates outside of priority groups like young women, where incidence is often particularly high.
Integrating Health Belief model to determine factors associated with COVID-19 Vaccine Acceptance in Lebanon: Differences between health care workers and non-healthcare workers
Authors: Youssef Dalal 
Published: October 2021

Abstract
Background:Vaccine acceptance is critical to the success of immunization programs, especially for emerging infectious diseases. This study aims to assess the willingness to receive the COVID-19 vaccine, and the factors associated with this willingness among healthcare workers (HCWs) and non-healthcare workers in Lebanon.Methods: A web-based cross-sectional survey was conducted among Lebanese adults aged 18 years and above during November 2020 among Lebanese adults from all Lebanese provinces using a snowball sampling technique. Data were collected using an anonymous Arabic questionnaire that included sociodemographic, health-related variables, intention to receive COVID-19 vaccine, and the Health Belief Model covariates. Multivariable logistic regression analyses were performed to identify the factors associated with the COVID-19 vaccine acceptance among the 2 groups.Results:A total number of 2802 participants completed the survey. The overall intention to receive a COVID-19 vaccine among the Lebanese adult population was 51.5%. HCWs expressed a higher willingness of getting vaccinated against COVID-19 than non HCWs (65.8% vs. 47%, p< 0.001). The factors that are positively associated with the willingness to vaccinate among the general population, non HCWs and HCWs were: older age, being married, living in urban areas, receiving influenza vaccine for this season, higher perception of susceptibility and benefits, concerns related to availability and accessibility of vaccines and recommendation of vaccine from health authorities. However, the previous refusal of any vaccine, concerns about vaccine safety, and side effects impacted negatively this intention. Female gender, importance accounted to religiosity, and concerns about the reliability of the manufacturer were negatively associated with vaccine acceptance among non HCWs. Conversely, good knowledge, vaccine intake by the public, and self-motivation were positively associated with this willingness. Of note, these factors were not significantly associated with such willingness among HCWs.Conclusion: To control COVID-19 effectively, efforts targeting modifiable factors driving COVID-19 vaccine acceptance are required to increase the acceptance rate among the Lebanese population.
Copy Number Variation at the 22q11.2 Locus Influences Prevalence, Severity, and Psychiatric Impact of Sleep Disturbance
Authors: O'Hora Kathleen Patricia , Lin Amy , Kushan-Wells Leila , Bearden Carrie E. 
Published: October 2021

Abstract
BackgroundSleep disturbance is common, impairing, and may affect symptomatology in developmental neuropsychiatric disorders. Here, we take a genetics-first approach to study the complex role of sleep in psychopathology. Specifically, we examine severity of sleep disturbance in individuals with a reciprocal copy number variant (CNV) at the 22q11.2 locus and determine sleep’s effect on psychiatric symptoms. CNVs (deletion or duplication) at this locus confer some of the greatest known risks of neuropsychiatric disorders; recent studies suggest the 22q11.2 deletion negatively impacts sleep, but sleep disruption associated with 22q11.2 duplication has not been investigated.MethodsWe compared subjective sleep disturbance and its relationship to psychiatric symptoms cross-sectionally and longitudinally over one year in 107 22q11.2 deletion (22qDel) carriers (14.56±8.0 years; 50% male), 42 22q11.2 duplication (22qDup) carriers (16.26±13.1 years; 54.8% male) and 88 demographically-matched controls (14.65±7.4 years; 47.1% male). Linear mixed models were used to compare sleep disturbance, assessed via the Structured Interview for Psychosis-Risk Syndromes (SIPS), across groups. Next, CNV carriers were categorized as good or poor sleepers to investigate sleep effects on multiple neurobehavioral traits: psychosis-risk symptoms (SIPS), autism-related behaviors (Repetitive Behavior Scale; RBS and Social Responsiveness Scale; SRS), real-world executive function, (Behavior Rating Inventory of Executive Function; BRIEF) and emotional/behavioral problems (Child Behavior Checklist; CBCL). Linear mixed models tested the effect of sleep category and a group-by-sleep interaction on each measure, cross-sectionally and longitudinally.Results22qDel and 22qDup carriers both reported poorer sleep than controls, but did not differ from each other. Cross-sectionally and longitudinally, poor sleepers scored higher on all SIPS subdomains, CBCL subdomains (anxious/depressed, somatic complaints, thought problems, and aggressive behavior), as well as RBS and SRS total scores. There were significant group-by-sleep interactions for positive symptoms and the majority of CBCL subdomains, in which the difference between good and poor sleepers was larger in 22qDel compared to 22qDup.ConclusionsOur findings indicate that CNVs at the 22q11.2 locus impact sleep which, in turn, influences psychopathology. Sleep disturbances can differentially impact psychopathology, depending on 22q11.2 gene dosage. Our findings serve as a starting point for exploring a genetic basis for sleep disturbance in developmental neuropsychiatric disorders.Trial RegistrationNot Applicable