bluuebunny/crossref_metadata_2025_split huggingface dataset:
Induced membrane technique in the treatment of infected tibial bone defect: a retrospective study
Authors: Yang Yang , Zhang Wei , Ou Shuanji , Xu Changpeng , Wu Xiaodong , Xia Changliang , Qi Yong , Ma Xiangyang 
Published: May 2022

Abstract
Introduction:
The induced membrane technique (IMT) is a two-stage procedure dedicated to reconstruction of bone defects of the limbs. The aim of this study was to investigate the effect of IMT in the treatment of infected tibial bone defect.
Patients and methods:
A retrospective study was performed among the patients treated using IMT for infected tibial bone defect between 2017 and 2020. The complications were recorded, and the bone defect union and the functional results were evaluated by Paley method. All patients were followed up for at least one year.
Results
We included 12 patients (11 males) with a mean age of 44.5 years (range 19 to 65). The mean length of bone defect was 26.7 mm (range 10 to 60). The mean interval between the stage one and the stage two of the procedure was 11.8 weeks (range 4 to 32). At a mean follow-up of 18.08 months (range 12 to 32), bone union was achieved in all cases in a mean time of 8 months (range 5 to 16) without infection recurrence, where one patient received additional bone grafting. The joint function recovered well for the patients and the rate of functionally excellent and good results was 9/12.
Conclusion
IMT in the treatment of infected tibial bone defect offers the advantages of simple operation, rapid healing of bone defects, and low recurrence rate of infection.
Mechanism of dopamine traveling waves in the striatum: theory and experiment
Authors: Matityahu Lior , Gilin Naomi , Atamna Yara , Tiroshi Lior , Wickens Jeffery , Goldberg Joshua 
Published: May 2022

Abstract
Striatal dopamine (DA) encodes reward, with recent work showing that DA release occurs in spatiotemporal waves. However, the mechanism of DA waves is unknown. Here we report that the striatal cholinergic neuropil also exhibits wave-like activity, and that the spatial scale of striatal DA release is extended by nicotinic receptors. Based on these findings we hypothesized that the local reciprocal interaction between cholinergic interneurons (CIN) and DA axons suffices to drive endogenous traveling waves. We show that the morphological and physiological properties of the CIN-DA interaction can be modeled as a reaction-diffusion system that gives rise to traveling waves. Analytically-tractable versions of the model show that the structure and the nature of propagation of CIN and DA traveling waves depend on their coupling, and that traveling waves can give rise to empirically observed correlations between these signals. Our model provides a biophysical mechanism for wave formation and predicts that the observed DA and CIN waves are strongly coupled phenomena.
Bio-guided Isolation of anti-Alzheimer’s compounds from Phyllanthus niruri and their role in reversal of aluminium chloride induced neurobehavioral and biochemical changes in animal model
Authors: Rajamanickam. Gayathri , L Manju S 
Published: May 2022

Abstract
Alzheimer's disease (AD) is one of the chronic neurodegenerative pathologies that lead to memory loss, mental and behavioral changes in elderly people. The senile plaques, neurofibrillary tangles, oxidative stress, increased acetylcholinesterase (AChE), and neuroinflammation by activating 5lipoxygenases (5-LOX) are important pathological processes in AD. Phyllanthus niruri Linn (PN) earned a lot of attention for phytoconstituents and their medicinal properties. The compounds quercitrin and niruriflavone were isolated by bio-guided fractionation from PN using the in-vitro assays. Both compounds showed good docking scores on AChE and 5-LOX targets in the molecular docking studies. AD was induced in rats by 100 mg/kg of oral aluminium chloride (AlCl3) for 42 days. It decreased the antioxidative enzymes and increased lipid peroxidation and acetylcholinesterase activity. Oral administration of niruriflavone reversed the neurobehavioral changes caused by AlCl3. The niruriflavone treatment also restored the antioxidative enzymes and attenuated the acetylcholinesterase and lipid peroxidation. All of the evidence suggests that isolated compounds could benefit the population afflicted by AD in a multitargeted manner.
Using Social Network Analysis to Study Diversity in Business Partnerships
Authors: Abdulkarim Rola , Abdallah Sherief , AlHossani Abdulla 
Published: May 2022

Abstract
Understanding the key elements of successful business partnerships has significant economic value. In this paper we analyze, for the first time, real world trade license data as a social network. The data we analyze cover the license registrations from 2015 to 2017 in a major cosmopolitan city in the middle east. The dataset consists of more than twenty thousand trade licenses and thirty-nine thousand individuals (business partners). We view the data as two complementary networks that evolve over time: one network where a node represents a partner and an edge represents the existence of partnership (common trade licenses), and another network where a node represents a license and an edge connects two licenses that have common partners. We apply community detection algorithms to both networks and carefully investigate how the top clusters evolve over time. Our analysis shows that business partnerships exhibit diversity with respect to age and nationality, but not when it comes to gender. We also identify common motifs that repeat in these networks and remain consistent over time.
Dropout regularization in Deep learning for Internet traffic classification
Authors: Krobba Ahmed , Debyeche Mohamed , KOUIDER Rania , Hocine Boutheina 
Published: May 2022

Abstract
Nowadays, the Internet has become the global means of communication for transmitting all kinds of traffic data; this is what makes it develop rapidly, which means the network traffic data increases greatly. In order to manage the data circulating in the networks it is necessary to establish an analysis of the network traffic which makes it possible to provide detailed and explainable data on this traffic and the consumption of the bandwidth, generally by applications and their protocols. In this paper, we analyse and classify internet traffic using the «Deep Neurale Network » method and compare their performance to that of the artificial neural network. The results show that the proposed method is able to accurately and stably classify the content types of network traffic compared with to the RNN.
Shift Left: Strengthening the Requirements Elicitation Process for Improving Quality Software in Software Development Projects
Authors: P Udhayakumar S , M Sivasubramanian 
Published: May 2022

Abstract
With new methodologies accelerating software delivery, software developers are expected to follow DRIFT (Do it right the first time) and ensure that the delivered software is error-free and works as expected. While the software development community has adopted and accelerated many delivery methodologies, it still finds delivering defect-free software a challenging task. To deliver defect-free software, identifying and eliminating the defects prior to delivery is key. However, to develop defect-free software, the focus on quality must start very early in the lifecycle. This paper is an attempt by the authors to get to the underlying cause of defect injection and identify ways to reduce defect injection. In this paper, the authors aim to analyse the requirements elicitation process and its effect to software defects. This paper aims to identify the source of defect injection with a specific focus on people and process aspects. The authors performed Phase Containment Efficiency (PCE) analysis on the selected software projects using the phase injected and phase detected categorization of defects. Root cause analysis was also performed on the same to identify the phase and cause of injection. Subsequently, the cost of fixing those defects was ascertained using industry-standard cost data. Using these analysis outcomes, the authors developed a framework to address the causes and prevent defect injection. A systemic review and analysis of the source data are performed in this paper, based on the same solution themes to prevent defect injection are recommended which are to be part of the requirements elicitation process.
Detecting protein complexes with multiple properties by an adaptive harmony search algorithm
Authors: Wang Rongquan , Wang Caixia , Ma Huimin 
Published: May 2022

Abstract
Background: Accurate identification of protein complexes in protein-protein interaction (PPI) networks is crucial for understanding the principles of cellular organization. Most computational methods ignore the fact that proteins in a protein complex have a functional similarity as well as they are co-localized and co-expressed at the same place and time, respectively. Meanwhile, the parameters of the current methods are specified by users, so these methods cannot effectively deal with different input PPI networks. Result: To address these issues, this study proposes a new method called MP-AHSA to detect protein complexes with multiple properties, and an adaptation harmony search algorithm is developed to optimize the parameters of the MP algorithm. First, a weighted PPI network is constructed using functional annotations, and multiple biological properties and the Markov cluster algorithm (MCL) are used to mine protein complex cores. Then, a fitness function is defined, and a protein complex forming strategy is designed to detect attachment proteins and form protein complexes. Next, a protein complex filtering strategy is formulated to filter out the protein complexes. Finally, an adaptation harmony search algorithm is developed to automatically determine the parameters of the MP algorithm. Conclusions: Experimental results show that the proposed MP-AHSA method outperforms 14 state-of-the-art methods for the identification of protein complexes. Also, the functional enrichment analyses reveal that the protein complexes identified by MP-AHSA algorithm have significant biological relevance.
Testing antiplatelets generics beyond bioequivalence: A parallel single-blinded randomized trial
Authors: Zarif Bassem , Soliman Lamyaa , Sabry Nirmeen A. , Said Eman 
Published: May 2022

Abstract
Purpose
Although generic drugs are approved for their bioequivalence to the original product, they are not necessarily therapeutically equivalent. The aim of our study is to introduce the concept of “studying the clinical effectiveness” of generic drug in comparison to the brand drug rather than simply comparing “their bioequivalence” to build more trust to use the generic drug. This study was conducted to prove the efficacy and safety of ticagrelor - generically named as Ticaloguard® compared to its brand Brilique® in heathy volunteers.
Methods
A loading dose of 180 mg ticagrelor named Brilique® or Ticaloguard® followed by a 90 mg twice daily regimen as maintenance dose was given to 14 and 15 volunteers in Tica and Brili groups, respectively. The platelet aggregation on ADP agonist was assessed at different time intervals.
Results
It was shown that generic Ticaloguard® provides a similar therapeutic effect and safety as its branded Brilique® (p > 0.05).
Conclusion
The present study revealed that the antiplatelet inhibition activity and safety of the generic ticagrelor (Ticalogaurd®) are comparable to its brand Brilique® in healthy volunteers.Testing generic drug effects rather than simple bioequivalency, especially for drugs that are used in critical life-threatening situations, is crucial. We advocate applying this form of a clinical trial to test surrogate clinical efficacy for generics used in critical indications before having real-world data whenever possible.
Blood routine reference value range should be adjusted according to regional and ethnic characteristics
Authors: Yan Guo , Liu Xiao , Zhang Hengduan , Zhang Qiang , Shi Zhongshan , Zhang Na 
Published: May 2022

Abstract
Objective
To further understand the influence of regional and ethnic factors on blood routine indicators and to provide reference for formulating the range of blood routine reference values for different regions and ethnic groups in China.
Methods
The routine blood test (RBT) results of 617 healthy men aged 18–45 years old of the Li, Tibet, and Han nationalities living in the city of Sanya, Hainan Province (200 m), the city of Xining, Qinghai Province (2300 m), and Maduo County of Qinghai Province (4300 m) for a long time were studied. Eight indexes, such as the red blood cell (RBC), hemoglobin (Hb) and platelet (PLT) counts, were compared and analyzed.
Results
With an increase in altitude, the RBT index values and change trends of the different ethnic groups were different. When the altitude increased by 2000 m, the RBC and Hb increased by 6.6% and 8.1%, respectively, and the PLT decreased by 16.8%. However, the RBC, Hb, and PLT of the Tibetan subjects decreased by 7.4%, 5.1%, and 3.0%, respectively. In the same region, there were also significant differences in the RBT index values among the ethnic groups. The RBC increased, Hb decreased, and PLT did not change in the Li nationality in Sanya compared with the Han nationality. The RBC, Hb, and PLT of Tibetans in the Xining area were significantly higher than those of the Han population. Referring to the current RBT reference value range in China, the abnormal rates of the various RBT index values of the enrolled population were high. By utilizing Hb as an example, 27.7% of the Li nationality in Sanya was low, 67.0% of the Tibetan nationality in Xining was high, and 89.4% of the Maduo Han nationality was high. The PLT was lower in the Sanya Li nationality (13.8%) and the Maduo Han nationality (88.3%).
Conclusion
Regional and ethnic factors have a significant impact on the RBT, and the current range of normal values of the RBT in China needs to be revised and adjusted.
Impact of Integrating Anti-cervical Cancer Teachings Into the Curriculum of High Schools in Nigeria
Authors: Ifediora Christian , Veerman Lennert , Azuike Emmanuel , Ekwochi Uchenna , Obiozor Williams 
Published: May 2022

Abstract
Background: The global quest to eliminate cervical cancer, along with the attainment of the 2030 SDG goals, can only be achieved if realistic approaches for improving outcomes in lower-middle-income countries (LMICS) are entrenched. Targeting young, mostly teenage adults in high schools of these countries, which generally lack universally-affordable cervical cancer-tackling measures, has recently been promoted as a game-changing approach. Integration of relevant teachings into the schools’ regular academic curricula, along with in-built measures that enhance engagement, are the advocated measures. A program with these principles, designed with the help of the Harvard Medical School, and introduced into Nigerian schools in 2019, was a global first. This paper evaluates that initiative.Method: A 12-month Cohort Study involving high schools in South-east Nigeria.Results: At Phase-1 (baseline) there were 1,699 Intervention responses, while Phases 2 (one-month post-intervention) and 4 (12-month post-intervention) had 1,797 and 500 responses, respectively. COVID-19 lockdowns washed out Phase-3 (six-month post-intervention). There were increased knowledge on “General Awareness”, “HPV Vaccinations”, “Risk Factors” and “Symptoms”, with levels at Phase-4 being higher than at Phase-2. Observed changes were non-different between gender, age groups, and classes of high schools. “Pap Smears” was an exception, since increased knowledge at Phase-2 were not sustained, and, after initial significant increases at Phase-2, knowledge associated with myths were reversed back to the Phase-1 levels.Conclusion: Anti-cervical cancer enlightenment interventions to teenage high school students were largely effective, but only guaranteed if engagement-enhancing measures are maintained over time. Extra efforts should be put into debunking prevailing myths.
Application of pedicled greater omentum flap tamponade combined with laparoscopic fenestration in diaphragmatic hepatic cyst
Authors: Wu Zujian , Chen Yun , Jin Ye , Liu Changfeng , Liu Yusu , Zhang Bing 
Published: May 2022

Abstract
Objective To investigate the efficacy and clinical application advantage of omental tamponade with vascular pedicle combined with Laparoscopic fenestration for the treatment of diaphragmatic hepatic cyst. Methods A total of 56 patients with diaphragmatic hepatic cysts underwent laparoscopic surgery in a single tertiary academic medical center from January 2010 to October 2020, including 21 patients (non-omental group) underwent laparoscopic fenestration of liver cysts, and 36 patients underwent laparoscopic liver cyst fenestration combined with vascular pedicle omentum tamponade (omental group). The general conditions and follow-up results of the two groups were compared and annalyzed.Results The operation time of the omental group was longer than that of the non-omental group (P = 1.358E-4). There was no significant difference in postoperative complications, postoperative laboratory values, hospital stay and hospital costs (P＞0.05). In the omental group, recurrence occurred in 1 of 35 patients (4.65%) who were followeded up 12 months after surgery. In the non-omental group , of the 21 patients followed, 8 patients (38.10%) recurred 12 months after surgery, and 3 patients (14.28%) recurred 6 months after surgery.Conclusion It is an effective method to prevent the recurrence of diaphragmatic hepatic cyst after laparoscopic fenestration by packing the cyst with vascularized omentum.
Condition-specific genes of Ulva compressa under light intensity and temperature stress
Authors: Dong ao , Zhou Lingjie , cai chuner , Zha Minjun , He Peimin 
Published: May 2022

Abstract
The experiment aimed to explore the possible life activities of Ulva compressa under different environmental conditions, e.g., light intensity and temperature stress. Orthogonal experiment of three temperature levels and three light intensity levels were designed, and there were a totally nine groups. The transcriptome of U. compressa was studied in specific genes after RNA extraction, sequencing, transcriptome assembly, annotation, and expression analysis. It was showed that U. compressa was selectively expressed condition-specific genes under certain conditions, thereby maintaining related life activities, which was different from the algae in the Yellow Sea green tide. Two categories of condition-specific genes were divided according to the results, wherein one type of genes was more obviously expressed under the influence of light, while the other one was obviously influenced by temperature. It seemed that these changes might benefit for U. compressa to temporarily increase the efficiency of photosynthesis and have more gene expression in terms of reproduction and nutrition, laying the foundation for further exploration of its environmental adaptability different from other algae.
The prognostic utility of neutrophil-lymphocyte ratio in spinal surgery: systematic review protocol.
Authors: Osunronbi Temidayo , Olukoya Olatomiwa , Sharma Himanshu 
Published: May 2022

Abstract
Neutrophil-lymphocyte ratio has been extensively reported to predict patients' outcomes in fields such as cancer, cardiac surgery, infection, and stroke medicine. However, there is no consensus on the prognostic utility of NLR in spinal surgery patients. Hence, this systematic review aims to analyse existing evidence and evaluate the relationship between NLR and outcome measures in spinal surgery patients. This is a study protocol for a systematic review.
Prevalence of medical factors related to aging among older car drivers: A multicenter, prospective, descriptive study
Authors: Hagiya Hideharu , Takase Ryosuke , Honda Hiroyuki , Nakano Yasuhiro , Otsuka Yuki , Kataoka Hitomi , Uno Mika , Ueda Keigo , Takahashi Misa , Ogawa Hiroko , Hanayama Yoshihisa , Otsuka Fumio 
Published: May 2022

Abstract
Aim: An increasing number of older adults in Japan are at an increased risk of traffic accident. This study aimed to investigate the prevalence of potential underlying medical factors that increase the risk of motor vehicle accidents (MVAs) among older people. Methods: This cross-sectional observational study was conducted in 11 medical institutions in Japan using self-administered questionnaires and physical examination from January to May 2021. The background and social data, data on the use of nursing care insurance, and clinical data suggestive of polypharmacy, sarcopenia, cognitive impairment, and frailty/oral frailty were obtained. The prevalence of these factors was compared between everyday and occasional drivers. Results: Data of 127 patients were collected; their median (interquartile range) age was 73 (70–78) years. Of the total participants, 82 were men (64.6%) and 45 were women (35.4%). There were 77 everyday drivers and 50 occasional drivers. Of these, 121 (95.3%) had not applied for nursing care insurance, but the numbers of those who required help 1 and 2 were 1 (0.8%) and 3 (2.4%), respectively. Prevalence of medical factors was as follows: polypharmacy, 27.6%; sarcopenia, 8.7%; dementia, 16.4%; frailty, 15.0%; and oral frailty, 54.3%; it was not significantly different between every day and occasional drivers. Intention to return the car license was significantly higher among the occasional drivers (2.6% vs. 14.0%; odds ratio: 6.7, 95% confidence interval: 1.2–70.6, P=0.024). Conclusion: We uncovered the prevalence of medical factors that increase the risk of MVAs among older people aged ≥65 years in our community.
Application of Digital Model of Meteorological Data in Tropospheric Delay Errors estimation of GNSS Measurements
Authors: Younes Sobhy A. 
Published: May 2022

Abstract
A major source of error in space-based geodesy is the tropospheric delay, which results in excess path length of the Global Navigation Satellite Systems (GNSS) signal as it passes through the neutral atmosphere. Tropospheric models that use real, predicted or empirical meteorological data have been applied to account for this error. The models widely used in geodesy are Hopfield, Saastamoinen, Black, GPS-Code-Analysis –Tool (GCAT) and Minimum Operational Performance Standards (MOPS). In current study, a methodology that utilized real meteorological data obtained by Global Forecast System (GFS) digital weather model in GRIB format was defined and used. Based on data obtained for different months in 2019, which coverage all seasonal variations of ZTDs, it was found that the accuracy obtained by using of real meteorological data of GFS was 1.5 to 2 times higher than that obtained from standard or empirical models. The RMS of Hopfield, Saastamoinen, and Black’s using predicted meteorological parameters showed less than 5% difference from one another (0.063 m, 0.061 m, and 0.062 m, respectively). Real GPS data of nine GPS stations in 7-day period were used for evolution the zenith part obtained by using of real meteorological data of GFS against that used standard or empirical models. The data were processed using Bernese software version 5.0. The closure error results prove that the model used real meteorological data is the best model in all session.