bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and correlates of skin examination among ethnically diverse young adult survivors of childhood cancer
Authors: Miller Kimberly A. , Li Angela A. , Wojcik Katherine Y. , Stal Julia , Cockburn Myles G. , In Gino K. , Freyer David R. , Hamilton Ann S. , Milam Joel E. 
Published: December 2022

AbstractBackgroundSkin cancer is the most common secondary malignancy among young adult childhood cancer survivors (YA‐CCS). Skin examination to detect skin cancer early (including melanoma as well as basal or squamous cell skin cancers), both physician‐based (PSE) and self‐skin exam (SSE), is recommended, particularly for radiotherapy‐exposed YA‐CCS who are at high risk of developing skin cancer.MethodsAwareness and prevalence of skin examination and demographic, clinical, and healthcare correlates were examined in a population‐based sample of YA‐CCS with diverse cancer types excluding melanoma. Descriptive frequencies and logistic regression models were conducted using sample weights to correct for non‐response bias with PSE, SSE and adherence to both as outcomes.ResultsThe sample comprised 1064 participants with 53% Latino. Eight percent of participants were aware of the need for skin examination; 9% reported receipt of PSE within past 2 years; 35% reported regular SSE; and 6% were adherent to both. Among the radiotherapy‐treated, 10% were aware of the need for skin examination, 10% reported recent PSE; 38% reported regular SSE; and 8% were adherent to both. Healthcare and clinical factors including healthcare self‐efficacy, engagement in cancer‐related follow‐up care, greater treatment intensity and greater number of treatment‐related late effects were positively associated with PSE and SSE. Latino YA‐CCS were less likely to engage in PSE and SSE.Conclusion(s)Adherence to recommended screening for skin cancer was low in this at‐risk population, notably for YA‐CCS exposed to radiotherapy. The development of effective strategies to expand skin cancer screening is needed in this at‐risk population.
Effects of delayed harvest on wheat quality, gluten strength, and protein composition of hard red spring wheat
Authors: Dorrian Kathleen , Mkhabela Manasah , Sapirstein Harry , Bullock Paul 
Published: December 2022

AbstractBackground and ObjectivesDelayed harvest of spring wheat is a common occurrence in the Northern Great Plains region of North America, especially western Canada, as a result of inclement weather. This can have negative impacts on the yield, grade, and quality of wheat leading to financial loss for farmers and processing complications along the value chain. The objective of this study was to investigate the effects of delayed harvest on wheat quality, gluten strength, and gluten protein composition about which little is known. Four leading varieties of Western Canadian hard red spring bread wheat were grown in replicated trials at four locations, involving four harvest dates from physiological maturity to 6 weeks thereafter.FindingsDelayed harvest had a statistically significant effect on Fusarium damaged kernels (increased), grain test weight (decreased), flour ash (decreased), gluten strength (increased) measured by mixograph development time and work input to peak development, and two protein compositional factors: HMW glutenin in flour protein and ratio of HMW glutenin to soluble prolamins (both increased).ConclusionsConsidering the totality of results, apart from grade and test weight, the effects of delayed harvest on wheat quality on gluten strength, while significant, were relatively minor compared to the much larger effects of growing location and genotype. Expanding the study to include more growing locations and seasons to capture a wider range of weather conditions may be required to reveal more pronounced effects caused by harvest delays. Results emphasize the importance of harvesting wheat as soon as is practical after physiological maturity to limit degradation of grade and economic loss.Significance and NoveltyResults clarify the limited understanding of the effects of delayed harvest on wheat quality and related properties. There appear to be no previous studies specifically evaluating the effects of delayed harvest on gluten strength and protein composition of hard spring wheat, especially considering that the time frame in the present study begins at physiological maturity. Reduced grades and deterioration of grain quality as a result of post‐growing season precipitation and cooler temperatures, and weathering in general, did not result in reduced gluten strength as might be expected when harvest was delayed. The small but significant improvement in gluten strength and highly correlated increase in glutenin per unit protein for the latter two harvest dates appear to be in‐line with postharvest effects of wheat maturation.
Genetic diagnosis of Bartter syndrome in Iranian patients and detection of a novel homozygous CLCNKB mutation
Authors: Nojehdeh Somayeh Takrim , Mojbafan Marzieh , Hooman Nakysa , Hoseini Rozita , Otukesh Hasan 
Published: December 2022

AbstractAn Iranian girl with clinical symptoms of Bartter syndrome like hypokalemia, polyuria, polydipsia, hyponatremia, and hypochloremic alkalosis was referred to us in whom the CLCNKB gene was genetically evaluated using Sanger sequencing. A homozygous pathogenic variant of c.1332_1335delCTCT was detected in this patient.
Metastatic mesenchymal chondrosarcoma of the spine managed with nonsurgical treatment: A case report and review of the literature
Authors: Qubain Leeann , Hirsch Brandon P. , Reddivalla Naresh , Baaj Ali A. , Leddy Lee R. , Ravinsky Robert A. 
Published: December 2022

AbstractIn this report, we present a rare case of a 17‐year‐old male patient with metastatic mesenchymal chondrosarcoma (MCS) managed with nonsurgical treatment who subsequently demonstrated a favorable response to concurrent chemotherapy and radiation therapy, followed with pazopanib target therapy. Further study regarding nonoperative care for metastatic MCS of spine is warranted.
Takotsubo cardiomyopathy in the setting of severe hyponatremia and beer potomania: A case report
Authors: Dodoo Sheriff N. , Agyemang‐Sarpong Alicia , Taka Nchang , Akatue Richmond A. , Williams Marcus L. 
Published: December 2022

AbstractTakotsubo cardiomyopathy (TC), an acute cardiac event is often associated with acute emotional stress, usually in the setting of cardiovascular risk factors. This case report attempts to review one of the triggers of TC beer potomania‐induce hyponatremia with imaging findings that shows the link between severe hyponatremia and TC.
Ischaemic stroke as the first presentation of antineutrophilic cytoplasmic autoantibody‐associated vasculitis
Authors: Tran John Chuan Nguyen , Abasszade Joshua Haron , Dang Yew Li , Crompton Douglas Ewan 
Published: December 2022

AbstractThe diagnosis of antineutrophil cytoplasmic autoantibody‐associated vasculitis in first‐episode strokes is particularly challenging, especially in patients lacking features of systemic vasculitis. We present the case of a 71‐year‐old woman with positive myeloperoxidase antineutrophil cytoplasmic antibodies and negative proteinase 3 autoantibodies. The patient presented with 1 week history of pyramidal weakness in both upper and lower limbs, hyperreflexia, and clonus. Magnetic resonance imaging of the brain demonstrated widespread bihemispheric cortical and deep white matter acute infarcts, which are consistent with features of stroke secondary to vasculitis. Myeloperoxidase antineutrophilic cytoplasmic autoantibody‐positive vasculitis diseases are more commonly associated with renal, pulmonary, and cutaneous manifestations; however, in our patient, the central nervous system features predominated. This case highlights the challenges of diagnosing primary central nervous system vasculitis, in this case, an atypical myeloperoxidase antineutrophilic cytoplasmic autoantibody‐positive disease without the classical disease course and clinical signs.
Carbotrifluoromethylations of C−C Multiple Bonds (Excluding Aryl‐ and Alkynyltrifluoromethylations)
Authors: Aradi Klára , Kiss Loránd 
Published: December 2022

AbstractOrganofluorine chemistry has become an expanding area of research in organic chemistry and drug design. The synthesis of fluorine‐containing molecules has received high significance in synthetic chemistry. Trifluoromethylative difunctionalizations of carbon‐carbon multiple bonds with the simultaneous introduction of a CF3 group and another function have considerable relevance. Because of the high importance of carbon‐carbon bond‐forming reactions in organic synthesis, carbotrifluoromethylations are considered to be a field of synthetic chemistry of increasing importance. Our current goal in this review is to summarize recent developments of various trifluoromethylation reactions (excluding aryl‐ and alkynyl‐trifluoromethylations) taking into consideration several main approaches, such as alkenyltrifluoromethylation, alkyltrifluoromethylation, carbonyltrifluoromethylation, and cyanotrifluoromethylation reactions.
Laryngeal dysfunction is prominent in asthmatic women treated by inhaled corticosteroids
Authors: Migueres Nicolas , Delmas Christina , Petit Thomas Julie , Kuntz Hélène , Peri‐Fontaa Elisabeth , Schultz Philippe , Velten Michel , de Blay Frédéric 
Published: December 2022

AbstractBackgroundDysphonia is a frequent comorbidity of asthma and has been suggested to be a local side effect of inhaled corticosteroids due to laryngeal candidiasis. We hypothesized that dysphonia in asthmatics was not due to laryngeal organic lesions but to laryngeal dysfunction during phonation (LDP).ObjectiveWe compared the frequency of LDP in female asthmatic patients treated with inhaled corticosteroids to female controls.MethodsWe compared 68 asthmatic female patients to 53 female control subjects. Pulmonary function tests were performed and the asthmatic patients classified according to the level of inhaled corticosteroids. Dysphonia was defined as a Vocal Handicap Index ≥18 or GRBAS score ≥2. All patients underwent video laryngo‐strobe examination, analyzed blindly and separately by two otolaryngologists, describing mucosal changes, LDP, or Organic lesions linked to Laryngeal Dysfunction during Phonation (OLDP).Results66.2% of the asthmatic patients exhibited dysphonia and 11.3% of controls (p < 0.001). No laryngeal candidiasis was found, only 3 patients presented laryngeal mucosa inflammation. LDP was observed in 60.3% of asthmatic patients and 18.9% of controls (p < 0.001), and no difference was found for OLDP (11.8% vs. 13.2%). No association was made between LDP, the dosage of inhaled corticosteroid, and bronchial obstruction.ConclusionsAsthmatic patients were more dysphonic than control subjects. This phenomenon was not explained by mucosal inflammation, laryngeal candidiasis or OLDP. Asthmatic patients had more LDP than controls. There was no relation between LDP, inhaled corticosteroids dosage or bronchial obstruction. These results change our view of inhaled corticosteroid side effects in female asthmatic patients.
Optimized Thermoelectric Performance of N‐type Bi2Te2.7Se0.3 (BTS) Commercial Materials by Dispersing CuS Nanoparticles
Authors: Xu Yufeng , Wu Xianke , Zhu Bo , Liu Yong , Shi Jing , Xiong Rui , Wang Ziyu 
Published: December 2022

AbstractAs a kind of energy crisis‐alleviating material, thermoelectric (TE) materials have attracted the attention of researchers for decades. However, TE materials are still not widely available and one reason is the mismatched performance of n‐type and p‐type materials. In this work, a strategy to boost n‐type Bi2Te2.7Se0.3 crystal by adding CuS nanoparticles through spark plasma sintering (SPS) is reported. The insertion of CuS NPs disperses in the BTS matrix brings the interfaces between CuS and BTS, which can effectively enhance the Seebeck coefficient and decrease the thermal conductivity by decreasing the carrier concentration and promoting the phonon scattering. As a result, the highest ZT value of 0.89 at 393 K is realized with 0.8 wt% CuS NPs doping, which is 1.37 times that of pure BTS crystal. Our work of adding CuS NPs into pure BTS to form interfaces offers a convenient approach for improving n‐type thermal materials with both optimized electrical properties and thermal properties.
Does age play a role in fever and neutropenia events and complications: A comparison of adolescents versus younger children with cancer at a tertiary care pediatric hospital, a pilot project
Authors: Kirolos Nardin , Tang Ken , Abbott Lesleigh S. 
Published: December 2022

AbstractBackgroundAdolescents and young adults with cancer (AYA) are a complex group of patients. The development of fever and neutropenia (FN) is a potentially lethal complication of chemotherapy. Risk stratification of patients with FN has become increasingly valuable allowing for early intervention and to guide treatment type and duration appropriately. There are risk stratification guidelines that exist, but most are validated in young children with cancer (YCWC). AYA are frequently shown to have more numerous and severe side effects from chemotherapy.AimsThis study aimed to identify whether age contributes to the incidence and severity of FN.Methods and ResultsPatients diagnosed with a malignancy in a 5‐year period at our institution were included from ages 0–18 years. We reviewed details of their FN events, including duration of hospital admission, source (bacterial/fungal), PICU admission and duration, positive blood cultures and mortality. Adolescents with cancer (AWC) had a trend of being 1.56 times more likely to have FN events (CI 95% 0.936–2.622, p = 0.087). Assessment of the duration of PICU stay showed that AWC were 4.9 times more likely to have longer admissions (CI 95% 0.998–24.067, p = 0.050). There was no significant difference between the two groups in the rate of PICU admission, positive cultures, identification of a bacterial or fungal source, hospital admission duration or mortality from FN.ConclusionThis study demonstrated a trend towards AWC being more likely to develop FN events. When such events occur in this group, the severity of them may be heightened as evidenced by longer duration of PICU admission.
Whale social optimization driven deep recurrent neural network for loan eligibility prediction
Authors: Infant Cyril Gnanasamy Lazar Sindhuraj , Ananth John Patrick 
Published: December 2022

SummaryPeople can use bank loans to make investment decisions thanks to technological advancements in the banking sector. The bank, however, only has a limited amount of resources, therefore it must grant to borrowers who can follow to the repayment schedule. Determining the candidate for a loan and finding a secure alternative for a bank are therefore crucial tasks. A deep recurrent neural network based on the whale social optimization algorithm (WSOA) is developed to predict loan eligibility. The WSOA is modified in this case to train Deep RNN for loan eligibility prediction in order to yield the most precise result. The proposed WSOA is developed by combining the social ski‐driver algorithm and the whale optimization algorithm. By selecting the trusted person to save bank assets, the risk factor is also decreased. The loan eligibility prediction is performed by processing massive data with Box‐Cox transformation. Moreover, wrapper feature selection is adapted for choosing imperative features. The proposed WSOA‐based Deep RNN provided increased efficiency with the highest accuracy of 94%, the highest sensitivity of 95.4%, and the highest specificity of 91.3%.
Research on color fusion model of historic and cultural blocks in Shanghai based on deep learning algorithm‐take Tianzifang as an example
Authors: Wei Zhen , Nie Jinghuan 
Published: December 2022

SummaryColor fusion is an extremely important part in the reconstruction design of historic and cultural blocks in the process of China's urban historic and cultural blocks transformation. Based on the deep learning algorithm, this paper constructs the color analysis model of cultural blocks, uses the multiscale feature semantic segmentation algorithm analysis technology of dual channel fusion for color research, extracts and analyzes the color of historic and cultural blocks, thus establishes its color fusion model, analyzes the color defects of Tianzifang historic and cultural scenic spot, and proposes to use plants, buildings and pavements to improve the color fusion degree of Shikumen cultural blocks.
Coverage hole aware optimal cluster based routing for wireless sensor network assisted IoT using hybrid deep recurrent neural network
Authors: Srivastava Abhishek , Paulus Rajeev 
Published: December 2022

SummaryNowadays, the wireless sensor network (WSN) with IoT is intended to monitor real‐world physical or environmental phenomena in a number of applications, including foreign areas such as health and habitat monitoring. The WSN‐IoT network generates huge volume of data, which has to be processed and accessed by the remote users. Due to this large volume of data generation and resource constraint ability make achieving optimal cluster based routing in WSN‐IoT. The location of the sensor nodes significantly affects the accuracy of the information collected, which determines the quality of service provided by the application system. WSN can have multiple conflicts, which can create different coverage holes. These holes will break the existing overlap or connection and affect the required operation of the networks. Therefore, it is essential to find and repair the coverage holes to ensure the full functioning of the WSN as a motivation of this study. In this paper, we suggest a novel Coverage Hole aware Optimal Cluster based Routing (CHOCR) scheme for WSN‐IoT. First, we propose Modified Lichtenberg optimization (MLO) algorithm for balanced clustering which improve the performance of coverage hole. Second, we develop a linear equilibrium optimization based decision making (LEO‐DM) technique to subtract trust value of each IoT node using multiple restraints in cluster and consider the highest trusted node is act as cluster head (CH). After that, a hybrid deep recurrent neural network (HD‐RNN) is developed for intermediate node selection to frame the routing between two nodes. Finally, we simulate our proposed CHOCR scheme on the NS3.26 simulator. According to energy consumption, network longevity, number of nodes that are still alive and packet delivery ratio, packet loss ratio and throughput, end‐to‐end latency and delay of our proposed CHOCR routing system, we compare it to other current routing schemes.
Predicting machine behavior from Google cluster workload traces
Authors: Umer Adnan , Mian Adnan Noor , Rana Omer 
Published: December 2022

SummaryData centers today host a number of computational resources to support the increasing demand for computation and storage. Understanding how these physical and virtual machines transition between different states of operation (referred to as machine lifecycle) enables more efficient data center operation management. Furthermore, it helps data center operators define policies on how new computational resources can be added or existing infrastructure decommissioned. Using Google cluster trace data set version 3 collected from approximately 96 k machines, we analyze machine failure and changes in machine lifecycle over time. We observed that there is a 13% chance of another machine failure under the same network switch within 1 min of the previous machine failure. A Markov chain‐based model is proposed, that can predict machine states at any given time. Using the model and estimated probabilities, we predicted the machine state over a span of several days with a high probability. Using the predicted machine state, we reconstructed the active machines trend and compared this with the trend reported in the data set, observing an error of 1.76%.
Group‐guided artificial bee colony algorithm with elastic adjustment strategy
Authors: Wang Jing , Jie Haoxiang , Jiang Yue 
Published: December 2022

SummaryArtificial bee colony algorithm (ABC) is a new intelligent optimization method based on swarm intelligence. It is an algorithm that simulates the social behavior of bees in nature and has a performance of good search in all kinds of optimization problems. Over the past few years, ABC algorithm has become popular because of its stable performance and good structure. ABC algorithm performance, however, is often influenced by both exploitation and exploration abilities, and balancing exploitation and exploration is particularly important. This article proposes a novel variant of ABC, which is called elastic adjusted group guided artificial bee colony algorithm (EGABC). In EGABC, we propose a group guidance strategy with flexible ability to adjust. The main purpose is to effectively use the known information, speed up convergence, and play a balance between search exploitation and exploration ability. To verify the validity of EGABC, we conducted experiments on 13 classic benchmark problems and CEC2013 test suite. Based on experimental results, the EGABC strategy is highly competitive and can improve the ABC algorithm's performance significantly.
Numerical study on over‐pressure performance of premixed explosion in utility tunnel
Authors: Xie Shangqun , Suo Hanxiao , Zhou Rui , Zhu Juanhua , Fan Man 
Published: December 2022

SummaryThe utility tunnel plays a vital role in improving city comprehensive bearing capacity, while whether the gas pipeline is set into the utility tunnel is a focus as chain and coupling accidents will happen in case of fire and explosion. In this study, a scaled‐down gas chamber experiment was carried out, and full‐scale two‐dimensional (2d) and three‐dimensional (3d) numerical models were compared. The combustion process of premixed gases could be roughly divided into four development stages, that is, (I) rapid development stage, (II) stable development stage, (III) jump stage, and (IV) oscillation stage. The over‐pressure on different walls had the same development trend and the peak value appeared in the jump stage. When the methane‐air premixed concentration was 9% and the ignition source was located at the center of utility tunnel (x = 0 m), the most unfavorable working condition occurred as its peak over‐pressure was about 1.57 MPa with an increase rate of 70%. Similarly, when the ignition position was at the left end (x = −99 m), the peak over‐pressure value was 1.51 MPa, which was 65% more than the initial value. While when the ignition position was not located at the center or ends of utility tunnel, the maximum wall pressure had a “double peaks” characteristic. When x = −80 m, the pressure jumped at 27 and 91 ms with the peak values up to 1.33 and 1.49 MPa, respectively. Arising findings provide guidance for assessing risks of setting the gas pipeline into utility tunnel and help to improve the safety design concept of utility tunnel.
How Do Apple Tree Rootstocks and Cultivars Affect Soil Health in Southern Minnesota Orchards?
Authors: Rogers Ann V. , Bera Tanumoy , De Mriganka 
Published: December 2022

AbstractTo produce more apples out of our apple orchards, we need to know how healthy the soil is. Apple tree rootstocks and cultivars have the potential to alter soil health. This article investigates the interactive effect of two commercially successful apple cultivars (Honeycrisp and Zestar) and two rootstock sizes (semidwarf and dwarf) on soil health in a southern Minnesota apple orchard. Earn 1 CEU in Soil & Water Management by reading this article and taking the quiz at https://web.sciencesocieties.org/Learning‐Center/Courses.