bluuebunny/crossref_metadata_2025 huggingface dataset:
Carbon reduction assessment of public buildings based on Apriori algorithm and intelligent big data analysis
Authors: Shen Xu
Published: March 2023

Today, with the continuous progress of urbanization, public buildings have many environmental problems. Their high carbon emissions and energy consumption have caused considerable environmental pollution. Based on the analysis of the whole life cycle of public buildings, it can be seen from the results that due to its long time span, the service life will cause more pollution to the environment, high energy consumption and carbon emissions. In this environment, this paper completes the design and construction of carbon reduction measurement system for public buildings by combining intelligent big data technology and Apriori algorithm. The system mainly analyzes the whole life cycle of the building to calculate all energy consumption projects of the building, converts them into carbon footprint indicators, and uses the indicators to complete the quantitative assessment of environmental pollution level for public buildings in the whole life cycle, and obtains the carbon reduction assessment data of the building in the operating cycle in combination with the carbon emission factors of energy and electricity. The results of quantitative data analysis can be used for the design and arrangement of energy conservation and emission reduction policies, which can be realized by changing the lighting and ventilation, peripheral protection, shape coefficient and rainwater circulation of buildings. This paper conducts carbon reduction assessment for public buildings by integrating intelligent big data and Apriori algorithm.
An All 2D Bio-inspired Gustatory Circuit for Mimicking Physiology and Psychology of Feeding Behavior
Authors: Pannone Andrew , Ravichandran Harikrishnan , Wali Akshay , Sen Dipanjan , Ghosh Subir , Das Saptarshi
Published: March 2023

Animal behavior is a complex interaction between physiology and psychology. Yet, most artificial intelligence (AI) systems do not take into account psychological factors in their decision-making. One obvious reason for this exclusion is the lack of comprehensive understanding of the connection between physiology and psychology at the neuronal level. However, recent advances in brain imaging and molecular and genetic tools have revealed that there are specific neural circuits in the brain through which physiology and psychology are hardwired for regulating animal behaviors such as feeding. Developing neuro-mimetic circuits that can integrate the influence of both physiology and psychology can enable a new emotional-AI paradigm that can bridge the gap between humans and machines. Here we demonstrate, for the first time, a bio-inspired gustatory circuit that can mimic adaptive feeding behavior for humans based on both the physiological states of the body such as hunger, and the psychological state of the mind such as appetite. For our demonstration, we use graphene-based chemitransistors as artificial gustatory taste receptor neurons to design an “electronic tongue” and monolayer MoS2 based memtransistors to design an “electronic gustatory cortex” that include physiology-drive “hunger neuron”, psychology-driven “appetite neuron” and a “feeding circuit”. We also show adaptive feeding behavior by exploiting the analog and non-volatile programming capability of the MoS2 memtransistors. We believe that our demonstration can institute a new paradigm for emotional neuromorphic systems and at the same time have widespread consequences for human health. The concept of gustatory emotional intelligence introduced in this work can also be translated to other sensory systems including visual, audio, tactile, and olfactory emotional intelligence to aid future humanoid AI.
Research on the development path of internet ideological and political education based on deep learning
Authors: Feng Ting
Published: March 2023

The Ministry of Education of China proposed to build a nationwide learning system based on Internet technology, which is also the key goal of building a national level e-learning system. The Ministry of Education proposed that students should actively use new media and information technology to seek and explore in the process of lifelong learning. Based on the above background, this research proposes that in-depth learning technology can be introduced to build an online ideological and political education system. The system design can reflect good processing performance in different data set environments, and can analyze users' preferences during use to adjust the logical structure. After the completion of the design, this study developed a simulation test, and the experimental results can verify the effectiveness of the system algorithm. From the test, it can be concluded that if fixed and dynamic thresholds are selected for testing in different training stages, the dynamic threshold has higher performance in terms of accuracy. Based on the teaching characteristics and development trajectory of ideological and political education, this paper has established a relevant system to combine teaching and examination, and can conduct online information interaction, so as to improve the quality of online political teaching and make the teaching process more coordinated. This paper designs the ideological and political online education system to promote its development by integrating analytical depth learning and Internet technology.
Preemptive analgesia role of intravenous diclofenac in abdominal hysterectomy under general anesthesia in a limited resource settings: A prospective cohort study
Authors: Gebeyehu Geresu , Mebratu Yohannes , Shiferaw Selamawit
Published: March 2023

Background
A significant proportion of patients suffer moderate to severe pain after surgery despite wide pain management protocols. Many analgesic drugs have been tried to alleviate perioperative pain. This study aimed at evaluating the effectiveness of diclofenac as a preemptive analgesic for postoperative pain management in patients that underwent abdominal hysterectomy under general anesthesia.
Methods
A total of 86 ASA I and II participants aged > 18 years old and undergoing abdominal hysterectomy from March to August 2020 in Adama General Hospital were recruited into this prospective observational cohort study. Study participants were grouped as group D (who took preemptive diclofenac) and group ND (who did not) based on whether or not IV diclofenac was given 30 minutes before the surgical incision. The pain severity, total analgesic consumption, first analgesic request time, and incidence of nausea and vomiting within 24 hours postoperatively were compared between the two groups. Student’s t-test and Mann-Whitney U test were used for analyzing numeric data. Categorical variables between the groups were analyzed using the chi-square test. P-values < 0.05 were considered statistically significant.
Results
Median pain score in the early postoperative period (in the 2nd, 4th, and 8th hr) was significantly lower in the diclofenac group (0.007, 0.004, 0.001, 0.261, and 0.796 respectively). The mean first analgesic request time between the groups was not significantly different (p > 0.05). Total postoperative analgesic consumption was significantly lower in the diclofenac group (p = 0.0006). The occurrence of nausea and vomiting was comparable between the two groups (p > 0.05).
Conclusion and Recommendation:
Preemptive diclofenac significantly reduced postoperative pain severity and total analgesic consumption and was associated with fewer side effects in patients undergoing gynecologic surgery. We recommend that all anesthesia providers use 75 mg of diclofenac 30 min to 1 hour before surgical incision.
Development and Validation of the Japanese Version of the Bedtime Procrastination Scale (BPS-J)
Authors: Hazumi Megumi , Kawamura Aoi , Yoshiike Takuya , Matsui Kentaro , Kitamura Shingo , Tsuru Ayumi , Nagao Kentaro , Ayabe Naoko , Utsumi Tomohiro , Izuhara Muneto , Shinozaki Mio , Takahashi Eriya , Fukumizu Michio , Fushimi Momo , Okabe Satomi , Eto Taisuke , Nishi Daisuke , Kuriyama Kenichi
Published: March 2023

Background: The average sleep duration of Japanese people is shorter than that of people from other countries, and bedtime procrastination is suspected to be one of the factors contributing to this issue. This study aimed to develop and validate the Japanese version of the Bedtime Procrastination Scale (BPS-J).
Methods: The BPS-J was developed through procedures including the translation and back-translation of the scale, cognitive interviews with 100 participants who reported insufficient sleep syndrome (ISS) using open-ended online questionnaires, and expert checking. To investigate the scale’s validity and reliability, an online survey was conducted with daytime workers aged 20-65 years without sleep disorders other than ISS. Half of the participants were retested using the same survey after 14 days. Participants’ responses to the Brief Self-Control Scale (BSCS), General Procrastination Scale (GPS), and Munich ChronoType Questionnaire (MCTQ), and data on sleep-related variables such as sleep duration on workdays and the days per week of fatigue or sleep loss, sex, and age, were collected.
Results: We analyzed data from 574 participants to assess scale validity. We then analyzed data from 280 participants to determine test-retest reliability. Confirmatory factor analyses revealed that the two-factor model without Item 2 was most suitable for the BPS-J, unlike other language versions. Regardless of the full-item model or the model with Item 2 eliminated, sufficient reliability and significant correlations with the BSCS, GPS, MCTQ, and sleep-related variables such as sleep duration per night on work days, days per week of feeling fatigued, and days per week of sleep losswere observed. Logistic and linear regressions showed that the relationships between the BPS-J, sleep-related variables, and MCTQ were maintained after adjusting for sex and age.
Conclusion: The BPS-J was found to have sufficient validity and reliability. Further, eliminating Item 2 from the original version of the Bedtime Procrastination Scale was found to be better to adapt the scale for Japanese daytime workers.
WITHDRAWN: Real-Time Tactile Biofeedback Device Use for Improving Balance Control of Pediatric Patients with Cerebral Palsy
Authors: Argunsah Hande , Yalcin Begum
Published: March 2023

Background.
This study aimed to develop a novel tactile biofeedback device, which tracks balance continuously and provides haptic biofeedback to its user through real-time vibration stimulus. The efficacy of the device on gait parameters was investigated in pediatric patients with cerebral palsy. Twelve children diagnosed with cerebral palsy and 12 age-matched healthy control subjects used the device during walking at a self-selected speed. The two group participants' lower extremity joint kinematics and spatial-temporal parameters were recorded with Xsens MVN during “with” and “without” biofeedback conditions.
Results.
The device did not disturb healthy gait. The integration of the real-time balance guidance through the device brought the gait parameters of the cerebral palsy patients closer to the gait parameters of the healthy control group. Pearson Correlation Coefficient and Root Mean Square Error techniques showed that biofeedback altered each gait parameter of the CP group when “with/without biofeedback” conditions were compared. The joints that diverged the most from the healthy control group trends were the ankle and pelvic joints. The extended stance percentage (without BF: 73.91% ± 10.42, with BF: 63.53% ± 2.99), step width (without BF: 0.20m ± 0.05, with BF: 0.18m ± 0.07), and step time (without BF: 1.55s ± 1.07, with BF: 0.73s ± 0.14) parameters decreased; similarly, cadence and walking speed increased when subjects were guided with biofeedback.
Conclusions.
Guidance with tactile biofeedback reduced the sternum sway, additionally, spatial-temporal parameters were regulated. Obtained results indicated that this wearable device can be integrated into the physical therapy and rehabilitation process of patients with balance and postural control impairments. The present findings contribute to a better understanding of the adaptation of innovative engineering applications with rehabilitation processes, which in turn could assist patients with balance impairments and facilitate their integration into society.
Readiness for Parkinson's Disease Genetic Testing and Counseling in Patients and Their Relatives in the Dominican Republic
Authors: Hodges Priscila Delgado , Hackl Margaret , Cook Lola , Wetherill Leah , Walsh Laurence , Delk Paula , De Leon Rebeca , Carbonell Janfreisy , Vicioso Rossy Cruz
Published: March 2023

Genetic testing for Parkinson’s disease (PD) is increasing globally, and genetic counselors serve as a resource to provide information about PD and genetic testing. However, genetic counseling is not yet recognized as an independent profession in most of Latin America and, despite PD having the highest incidence among Hispanic populations, studies have found that Hispanic individuals are underrepresented in PD and genomic research. Understanding what Hispanic individuals know about PD, genetic testing for PD, and their interest in speaking with a genetic counselor is crucial when assessing readiness for genetic testing and counseling. In this cross-sectional study, a mixed-methods survey was distributed to people with Parkinson’s disease (PwP) and their unaffected biological relatives in the Dominican Republic (DR). Survey questions assessed genetics knowledge, attitude toward genetic testing, and interest in genetic testing and counseling. Most participants (69%) scored the maximum on the attitude scale, indicating an overall positive attitude toward genetic testing. Furthermore, 95% indicated interest in genetic testing for PD, and 98% were at least somewhat interested in meeting with a genetic counselor. The mean PD genetics knowledge score was similar to previously published data. Through free responses, participants expressed a desire to know more about PD treatment and management, prevention, cause, and their personal risk for PD. These results emphasize the importance of building genetic testing and counseling capacities in low- and middle-income Hispanic countries like the Dominican Republic.
Forty Thousand Kilometers Under Quantum Protection
Authors: Kirsanov Nikita , Pastushenko Valeria , Kodukhov Alexey , Yarovikov Michael , Sagingalieva Asel , Kronberg Dmitry , Pflitsch Markus , Vinokur Valerii
Published: March 2023

Quantum key distribution (QKD) is a revolutionary cryptography response to the rapidly growing cyberattacks threat posedby quantum computing. Yet, the roadblock limiting the vast expanse of secure quantum communication is the exponentialdecay of the transmitted quantum signal with the distance. Today’s quantum cryptography is trying to solve this problem byfocusing on quantum repeaters. However, efficient and secure quantum repetition at sufficient distances is still far beyondmodern technology. Here, we shift the paradigm and build the long-distance security of the QKD upon the quantum foundationsof the Second Law of Thermodynamics and end-to-end physical oversight over the transmitted optical quantum states. Ourapproach enables us to realize quantum states’ repetition by optical amplifiers keeping states’ wave properties and phasecoherence. The unprecedented secure distance range attainable through our approach opens the door for the development ofscalable quantum-resistant communication networks of the future.
Gene-specific machine learning for pathogenicity prediction of rare BRCA1 and BRCA2 missense variants
Authors: Kang Moonjong , Kim Seonhwa , Lee Da-Bin , Hong Changbum , Hwang Kyu-Baek
Published: March 2023

Machine learning-based pathogenicity prediction helps interpret rare missense variants of BRCA1 and BRCA2, which are associated with hereditary cancers. Recent studies have shown that classifiers trained using variants of a specific gene or a set of genes related to a particular disease perform better than those trained using all variants, due to their higher specificity, despite the smaller training dataset size. In this study, we further investigated the advantages of “gene-specific” machine learning compared to “disease-specific” machine learning. We used 1068 rare (gnomAD minor allele frequency (MAF) < 0.005) missense variants of 28 genes associated with hereditary cancers for our investigation. Popular machine learning classifiers were employed: regularized logistic regression, extreme gradient boosting, random forests, support vector machines, and deep neural networks. As features, we used MAFs from multiple populations, functional prediction and conservation scores, and positions of variants. The disease-specific training dataset was more than seven times larger than and included the gene-specific training dataset. However, we observed that gene-specific training variants were sufficient to produce the optimal pathogenicity predictor if a suitable machine learning classifier was employed. Therefore, we recommend gene-specific machine learning as an efficient and effective method for the pathogenicity prediction of rare BRCA1 and BRCA2 missense variants.
Efficacy and safety of direct-acting antiviral regimen for patients with hepatitis C virus genotype 2: A systematic review and meta-analysis
Authors: Lei Pek Kei , Liu Zicheng , Ung Carolina Oi Lam , Hu Hao
Published: March 2023

Background Direct-acting antivirals (DAAs) show high cure rates in treating chronic hepatitis C virus (HCV). However, the effect of DAAs on patients infected with genotype 2 (GT2) is difficult to determine despite the availability of several DAA regimens. Methods A systematic search of six databases (PubMed, Embase, Cochrane Library, Web of Science, CNKI, and Clinicaltrial.gov) was conducted through April 20, 2022. We considered the sustained virological response 12 weeks after treatment (SVR12) as the efficacy outcome, and adverse events (AEs) as the safety outcome. By calculating the mean SVR12 and the proportion of AEs among patients, we considered the intervention effect for each DAA regimen. The random effect model was then used in all meta-analyses. This systematic review and meta-analysis aimed to summarize the evidence on efficacy and safety of DAAs in patients infected with HCV GT2. Results Among 31 articles included (2,968 participants), consisting of 1,387 treatment-naive patients and 354 patients with cirrhosis. The overall pooled SVR12 rate was 94.62% (95% CI: 92.43%-96.52%) among the participants who received all doses of treatment. Meta-analysis results of AEs revealed that fatigue was the most common AE (14.0%, 95% CI: 6.4%-21.6%), followed by headache (13.1%, 95% CI: 9.2%-17.1%), whereas death and serious adverse events were uncommon. Conclusions: We compared DAA-based treatments indirectly using meta-analysis and found regimens containing sofosbuvir and velpatasvir for 12 weeks to be the relatively safe and most effective option for HCV GT2 patients.
Unraveling Neuro-Proteogenomic Landscape and Therapeutic Implications for Human Behaviors and Psychiatric Disorders
Authors: Repetto Linda , Chen Jiantao , Yang Zhijian , Zhai Ranran , Timmers Paul , Li Ting , Twait Emma , May-Wilson Sebastian , Muckian Marisa , Prins Bram , Png Grace , Kooperberg Charles , Johansson Åsa , Hillary Robert , Wheeler Eleanor , Pan Lu , He Yazhou , Klasson Sofia , Ahmad Shahzad , Peters James , Gilly Arthur , Karaleftheri Maria , Tsafantakis Emmanouil , Haessler Jeffrey , Gyllensten Ulf , Harris Sarah , Wareham Nicholas , Göteson Andreas , Lagging Cecilia , Ikram M. Arfan , Duijn Cornelia van , Jern Christina , Landén Mikael , Langenberg Claudia , Deary Ian , Marioni Riccardo , Enroth Stefan , Reiner Alexander , Dedoussis George , Zeggini Eleftheria , Butterworth Adam , Mälarstig Anders , Wilson James , Navarro Pau , Shen Xia
Published: March 2023

Understanding the genetic basis of neuro-related proteins is essential for dissecting the molecular basis of human behavioral traits and the disease etiology of neuropsychiatric disorders. Here, the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,500 individuals for 184 neuro-related proteins in human plasma. The analysis identified 117 cis-regulatory protein quantitative trait loci (cis-pQTL) and 166 trans-pQTL. The mapped pQTL capture on average 50% of each protein's heritability. Mendelian randomization analyses revealed multiple proteins showing potential causal effects on neuro-related traits such as sleeping, smoking, feelings, alcohol intake, mental health, and psychiatric disorders. Integrating with established drug information, we validated 13 out of 13 matched combinations of protein targets and diseases or side effects with available drugs, while suggesting hundreds of re-purposing and new therapeutic targets. This consortium effort provides a large-scale proteogenomic resource for biomedical research on human behaviors and other neuro-related phenotypes.
Study on the emergency capacity of coal mine enterprises in Longdong Area based on D-FAHP method
Authors: Yang Fengfeng F. , Zhang Jufeng , JIN Bangxin , Wang Siyang , Xi Caixia
Published: March 2023

Emergency capability assessment is a complex system with multiple factors, variables and levels. Based on this, a method combining D-number theory and fuzzy analytic Hierarchy process (FAHP) is proposed to study the emergency capacity of coal enterprises in Longdong area. Based on the limitation of D-S evidence theory, the D-number theory was optimized and improved. According to the principles of systematicness, feasibility, scientificity and timeliness, a hierarchical structure model of enterprise emergency capability assessment was constructed from the perspective of pre-incident, mid-incident and post-incident, which consisted indicators of 4 first-level and 18 second-level. Combined with the assessment results of experts, a quantitative analysis and evaluation of the emergency response capacity of a coal enterprise was conducted by using FAHP. The comprehensive score of the enterprise was 80.45, and the level of emergency response capacity was "good". The D-FAHP method has high reliability in evaluating the emergency response capability of coal enterprises, avoiding the impact of uncertain and incomplete information on the assessment results. This can effectively identify the weak links in emergency management and meet the needs of enterprises in emergency decision-making, which has important guiding significance for improving the ability and level of enterprises in emergency management.
Dysprosium-induced FeNx-Dy2O3 sites for Efficient Bifunctional Oxygen Electrocatalytic Reactions
Authors: Luo Ren , Wang Rui , Meng Zihan , Xia Yannan , Tang Haolin
Published: March 2023

Iron and nitrogen co-doped carbon material (Fe/NC) is considered as a promising catalyst for oxygen reduction reaction (ORR) due to its excellent catalytic activity. However, it is still challenging to further reform the activity of ORR and oxygen evolution reaction (OER). Rare earth elements with unique orbital configuration and catalytic behavior are widely regarded as effective promoters to enhance the electrocatalytic activity of materials. Here, we successfully optimized the oxygen electrocatalytic activity of Fe/NC by the novel addition of Dy element, denoted as Dy2O3-Fe/NC. The resulting material shows excellent ORR/OER activity in 0.1 M KOH, with a half-potential (E1/2) of 0.914 V and an overpotential of 396 mV (at a current density of 10 mA cm-2). The excellent bifunctional electrocatalytic activity is derived from the close synergistic interaction between Fe and Dy, as well as the newly generated active sites of FeNx-Dy2O3. Zn-air battery assembled with Dy2O3-Fe/NC as cathode catalyst shows a high peak power density (225 mW cm-2) and long-term charge-discharge cycle stability.
Enhanced Dynamic Quantum Clustering Based on von Neumann Entropy
Authors: Sadrnezhaad Sayed Mohammad Mahdi , Loo Chu Kiong
Published: March 2023

Dynamic quantum clustering (DQC) is a quantum algorithm to find possible data clusters. DQC uses quantum states to represent the clusters and the time evolution of the quantum states to predict different ways to match the data to clusters. There are several advantages to this method, as: (1) there is no need to specify the number of clusters; (2) there is no need to reduce the data; (3) hidden patterns within the main pattern can be studied; and (4) it eliminates the need for an operator to determine the point at which to terminate the process visually through the effective implementation of a fitness function. This paper introduces von Neumann entropy as a valuable metric that can be used to evaluate the DQC algorithm's results. Enhanced DQC can also show if there are different possible ways to cluster the data.
The downregulation of linc-RECK-3 in T1 stage non small cell lung cancer
Authors: Ding Xiaohui , Zhao Hongguang , Wang Lifang
Published: March 2023

Background
Lung cancer, with the highest mobidity of malignancies, is the leading cause of cancer-related deaths. According to AJCC staging, T1 stage is the earliest stage. Gene research on T1 stage may reveal the molecular factor about tumorigenesis in the NSCLC. LncRNA is a kind of non-coding RNA, which is related to cell cycle, differentiation, metabolism and disease formation.
Methods
We conducted a retrospective study. 56 patients who underwent surgery at Zhejiang Cancer Hospital from August 2008 to October 2012 with T1 stage non-small cell lung cancer were enrolled. We conducted a survey using real-time quantitative PCR linc-RECK-3 in tumor tissues and normal lung tissues. And then we used SPSS 25.0 for statistical analysis of the data. Wilcoxon Paired Test and Mann-Whitney-U Test was used to analyze Statistical differences(P < 0.05).
Results
We enrolled 56 patients, including 41 males and 15 females, with a median age of 62.5 years. The tumor was no more than 3 cm in diameter and was defined as stage T1. The level of linc-RECK-3 in tumor tissues was significantly lower than that in normal tissues (P = 0.001). And we found there is no significant difference in clinicopathological data(P > 0.05).
Conclusion
Linc-RECK-3 may be associated with the occurrence of non-small cell lung cancer.
The role of SIRT3 in mediating the cognitive deficits and neuroinflammatory changes associated with a developmental animal model of schizophrenia
Authors: Hao Keke , Chen Fashuai , Wang Huiling , Xu Shilin , Xiong Ying , Xie Xinhui , Huang Huan , Shu Chang , Liu Zhongchun , Wang Gaohua , Reynolds Gavin P
Published: March 2023

The neuroinflammatory state may contribute to the pathogenesis of many mental disorders including schizophrenia. Nicotinamide adenine dinucleotide (NAD+) is an essential cofactor for activation of proteins involved in mitochondria quality control, such as Sirtuin3 (SIRT3). Our previous study had found that nicotinamide (NAM) (a precursor of NAD+) administration could rescue Early life stress (ELS)-induced neuroinflammation and down-regulation of SIRT3 in adult offspring. However, it is unclear how SIRT3 is involved in the neuroinflammatory state induced by ELS and whether it is key to the neuroprotective effects of NAM in this animal model of schizophrenia. The present study used 24h maternal separation (MS) as ELS to Wistar rat pups on the postnatal day (PND) 9. At the adult stage, Schizophrenia-like behaviors and memory impairments were detected by behavioral tests. Microglial activation, pro-inflammatory cytokine expression, and NAD+/SIRT3 expression were detected in the prefrontal cortex (PFC) and hippocampus (HIPP). Meanwhile, NAM, and the SIRT3 activator Honokiol (HNK), and the SIRT3 inhibitor 3-TYP were used as an intervention in vivo to explore whether NAD+/SIRT3 axis is involved in the neuroinflammatory state induced by ELS. Our results showed that MS on PND9 could induce schizophrenia-like behaviors and synchronously caused M1 microglial activation, pro-inflammatory cytokine over-expression, NAD+ decline, lower expression of SIRT3, and increased ace-SOD2 expression at the adult stage. NAD+ supplement could block this process and alleviate the pro-inflammatory state in the PFC and HIPP, and normalize the behavioral alterations of the MS animals. Furthermore, administration with HNK for 15 days from PND56 to PND70 could provide neuroprotective effects on the HIPP and PFC of MS rats, as confirmed by cognitive recovery, decreased pro-inflammatory cytokine over-expression, and blunted M1 microglia activation in the MS rats. Meanwhile, 3-TYP administration in the control group and the NAM-treated MS rats caused M1 microglial activation, pro-inflammatory cytokine over-expression, and cognitive deficits. Taken together, the results demonstrated that SIRT3 mediated the stabilizing effect of NAD+ on normalizing M1 microglial activation, neuroinflammation, and behavioral phenotypes in MS rats.
Effect of grain size on amorphization mechanism and kinetics of bridgmanite in shocked meteorites
Authors: Nishi Masayuki , Jin Si , Kawano Toshikatsu , Kuwahara Hideharu , Yamada Akihiro , Kawaguchi Shogo , Mori Yuki , Sakaiya Tatsuhiro , Kondo Tadashi
Published: March 2023

Bridgmanite formation and amorphization in shocked meteorites constrains the pressure and temperature conditions during planetary impact process. However, the effect of grain size of bridgmanite on its amorphization kinetics is still unclear. In this study, the amorphization mechanism and kinetics of fine-grained polycrystalline bridgmanite were studied at high temperatures up to 1080 K. High-temperature time-resolved synchrotron X-ray diffraction measurements showed that significant volume expansion due to temperature-induced amorphization caused static stress, which then hindered amorphization progress. Further, the temperature required for the amorphization of fine-grained bridgmanite (~1 mm) was found to be approximately 100 K higher than that required for the amorphization of coarse-grained samples (> 10 mm). We also noted that amorphization preferentially commenced at the twin and subgrain boundaries of bridgmanite grains, resulting in lower amorphization temperatures for the coarse-grained samples. The limited number of such specific locations in fine-grained natural bridgmanite suggested that grain boundary amorphization may be the dominant mechanism for bridgmanite amorphization in shocked meteorites. This unique amorphization kinetics would support the preservation of bridgmanite during the post-shock annealing in the shocked meteorite. Although bridgmanite amorphization starts easily at temperature above ~420 K, small amount of bridgmanite grains can survive at temperatures above 800 K by the effect of the amorphization-induced stress.
The 2022 Massive Open Online Course (MOOC) to train physiotherapists in the management of people with spinal cord injuries: a qualitative and quantitative analysis of learners’ experiences and its impact
Authors: Harvey Lisa , Glinsky Joanne , Ilha Jocemar , Xiong Yuan , Gomez Guillermo , Rostagnor Stephan , Martín-Manjarrés Soraya , Tranter Keira , Muldoon Stephen , Weerts Eric
Published: March 2023

Study design: Observational.
Objectives: To determine the learners’ experience and the impact of a Massive Open Online Courses (MOOC) conducted to teach physiotherapists about the management of people with spinal cord injuries (SCI).
Methods: A SCI MOOC for physiotherapists was run in 5 different languages at the end of 2022. Qualitative and quantitative data were collected from different sources including registration details, pre- and post-Knowledge Assessments, a post-MOOC Evaluation, social media posts and online tracking of websites and emails. The data were used to answer four key questions: (i) what was the reach of the MOOC, (ii) what did participants think about the MOOC (iii) did the MOOC change participants’ knowledge and/or confidence, and (iv) did the MOOC change participants’ clinical practice or the way they teach others?
Results: 25,000 people from 169 countries registered for the MOOC. 98% of participants who completed the Evaluation (n = 2,281) rated the MOOC as either “good” or “very good”. Participants’ knowledge improved by a median (IQR) of 25% (10 to 45%) (n = 4,016 participants) on the MOOC Knowledge Assessment. Participants reported changes in confidence, and intentions to change clinical practice and incorporate what they had learnt into the way they teach others in response to the MOOC.
Conclusion: The MOOC provided an efficient way to increase physiotherapists’ knowledge about the physiotherapy management of people with SCI. Participants enjoyed the MOOC, and indicated an intention to change clinical practice and the way they taught others.
Geochemistry and Petrogenesis (ICP-Ms and Radio-isotope “Rb/Sr/Sm/Nd” Studies) of the Young Volcanic Rocks in the Ahar area, NW Iran
Authors: hassanpour Shohreh , ahankoub Maryam
Published: March 2023

The Ahar area is located on an orogenic tectonic setting from magmatic and tectonic point of view. The young volcanic rocks, are composed of basalt, andesite, trachyte, and dacite in composition. The volcanic geochemically are calc-alkaline and show linear–like correlation in major oxide variation diagrams, which are revealed in main mineral phase fractionations. They also exhibited enrichment in Ba, U, La, Pb, and Sr and depleted in Cs, Nb, Ti, and Ce. The 143 Nd/ 144 Nd, 87 Sr/ 86 Sr, and Nd(i) values are changing from 0.704183-0.705077, from 0.512749-0.51286 , and 1.6-2.6, respectively. Fractional crystallization and contamination seem to have been important in the evolution of the volcanic rocks. Nd and Sr-isotope compositions fall in the field of oceanic island basalt (OIB) and extend along with the mantle array. Geochemical data suggested that the parental magma of the studied volcanic rocks were magma that originated from the enriched lithospheric mantle and asthenosphere. According to the regional geology and petrological data, these volcanic rocks have a post-collisional feature, and formed in an extensional tectonic settings. The geochemistry model of trace elements and isotope ratios in the samples reveals that all of them are derived from a mantle resource. They enriched and metasomatized extensively by continental crust via the subduction process with a crustal metamorphic materials in a continental collisional tectonic setting. These rocks are derived by a varying degrees of partial melts with a lithospheric mantle resource.
A Multi-queue Round Robin Algorithm for Task Scheduling in Enterprise Application Integration Platforms in the Cloud
Authors: Freire Daniela L. , Frantz Rafael Z. , Basto-Fernandes Vitor , Sawicki Sandro , Roos-Frantz Fabricia , Battisti Gerson
Published: March 2023

Contemporaneous environments involve a large number of information which is received from many interconnected devices and integrated by many platforms. The Internet of Things and Cloud computing offer services to deal with such big data, so that enterprises can play in their business core by outsourcing the development, the configuration, and the maintenance of those services and their computational resources. Many enterprises use integration Platform as a Service to maintain their applications and data working in a synchronous way. However, current task scheduling algorithms of integration platforms are facing some hardships to tackle with high volumes of data. In this article, we propose a scheduling algorithm based in the round-robin heuristic through multiple task queue, which presents better performance than the traditional First-in-first-out heuristic used by current platforms. We experimented our algorithm in the execution of an integration process, and we validated the results with statistical techniques.
Two-dimensional Otsu’s Zigzag Thresholding Segmentation Method
Authors: liang yitao , chen yahui
Published: March 2023

In the two-dimensional histogram thresholding method, the segmentation accuracy could be degraded due to insufficient misclassification. An improved image segmentation method combining a priori knowledge of two-dimensional histogram and fully considering the influence of edges, the two-dimensional Otsu’s zigzag thresholding segmentation method is proposed. We combine a priori information about the edge regions and noisy regions in a two-dimensional histogram, use a zigzag threshold as a segmentation criterion to correct the overall error classification and use small probability events to determine the line equations to achieve segmentation adaptively. Based on extensive experimentation, our method has been observed to significantly outperform comparable techniques.
A Visual Analysis of Hotspots and Frontiers in Blockchain Based on Scientific Knowledge Map
Authors: Gao Yarui , Lin Runhui
Published: March 2023

Blockchain is regarded as the most outstanding technological innovation in the 21st century. This will be an essential technical means to subvert the internet and improve traditional production relations. It has been valued by governments worldwide and incorporated into national development strategies. But there are also some problems to be solved in the application research of blockchain. In this study we used the knowledge map to sort out the research context of Chinese and international blockchain in a quantitative way, in order to bring research ideas and directions to scholars. We employed the visualization tool CiteSpace to analyze the related literature of blockchain in China and international, 3989 and 4825 literature from 2010 to 2021, respectively, downloaded from CNKI and Web of Science , then draw the knowledge maps of primary authors, critical literature, key journals, prominent research institutions, which showed the time, spatial distribution, research hotspots, research frontiers and evolution paths of the blockchain field. We found that ( 1 ) blockchain has become an information point tracked by researchers since 2015, and is currently in a period of vigorous development.（2）At present, China is far ahead of the number of papers published in the field of blockchain and depicts a rapid growth trend. ( 3 ) The subject knowledge structure in the field of blockchain research consists of three parts: cryptocurrency market efficiency and supervision, blockchain technology system innovation, and blockchain application scenario expansion. ( 4 ) The research hotspots mainly include ' Internet of Things ', ' smart contract ', ' bitcoin ', and ' security 'are the hot issues both in China and international research. Additionally, the research on the blockchain of China mainly focuses on ‘digital currency’, ‘inclusive finance’, ‘technology empowerment’, and ‘regulatory sandbox’, which prefers the sustainability of financial applications. International research on Blockchain focuses on ‘identity authentication’, ‘validity’, ‘energy trading’, and ‘frame structure,’ which are more inclined to the integration research of blockchain with computer and electrical engineering, focus on the application of emerging technologies on the sustainability of industry.
Selection of superior provenances/families of Docynia delavayi based on phenotypic variation analysis on seedling growth traits
Authors: Xu Liu , Li Jingting , Zhu Zeli , Wang Dawei
Published: March 2023

Docynia delavayi (Franch.) Schneid. is a wild fruit tree, which can be widely used for medicinal and edible with a high value of exploitation and utilization. To gain greater insight into the genetic variation of growth traits in D. delavayi, we investigated the growth traits of a total of 62 half-sib families from 10 provenances. Based on the data of growth traits, variation analysis, correlation analysis, principal component analysis, estimation of genetic parameters and comprehensive analysis were carried on. The results of variance analysis showed that all traits, except for branch length, were significant or extremely significant differences among provenances, while among families, only leaf width showed no significantly different. The results of correlation analysis showed that all growth traits, except for branch length and petiole length, had a significant or extremely significant correlation with the geo-climatic factors. Three principal components were extracted by principal component analysis, they were used as indicators for the comprehensive evaluation of D. delavayi from different provenances, and five excellent provenances were selected (LC, LH, SD, YJ, XY). The results of genetic parameters estimation showed that all indicators except leaf length and leaf width had a high potential for genetic improvement. Therefore, five traits (SH, GD, BL, PL, TNL)were used as comprehensive index to select superior families, and a total of 20 superior families were selected. This study will lay a theoretical foundation and practical guidance for the genetic improvement of D. delavayi.
Trend of correlations between Psychological Symptoms and Socioeconomic Inequalities: HBSC Cross-sectional study among Tuscan Adolescents from 2006 to 2018
Authors: LIPARI DARIO , BOCCI BIANCA MARIA , RIVIERI CESARE , FRONGILLO ELENA , MISERENDINO ANTONELLA , PAMMOLLI ANDREA , TROMBETTA CLAUDIA MARIA , MANINI ILARIA , SIMI RITA , LAZZERI GIACOMO
Published: March 2023

Background: Adolescence is a critical moment in life; people become individuals, create new relationships, develop social skills, and learn behaviours that they will use for the rest of their lives. During this phase, adolescents establish patterns of behaviour that can protect their health. This study aims to: 1. assess the presence of psychological disorders in adolescents of both genders; 2. determine the relation of socio-economic differences based on the Family Affluence Scale (FAS); and 3. assess trends from 2006 to 2018.
Methods: Data was collected from the Italian Health Behaviour in School-aged Childrensurvey given to a representative sample of Tuscan adolescents aged 11-15 years. Participants (n.12,550) filled out questionnaires to assess whether psychological symptoms like feeling low, irritability, nervousness, or sleeping difficulties manifested weekly or more often over the past six months. For the study we utilized a cross-sectional survey method and linear regression to examine the association between psychological symptoms (dependent variable measured on an interval scale (0-16)), gender and FAS. We conducted similar analyses using logistic regressions for each of the 4 symptoms.
Results: An increase in psychological symptoms in both genders was revealed between 2006 to 2018, with a statistically significant presence in females: 0.29 (95% Confidence Interval [CI], 0.17 to 0.41), 1.43 (95% CI, 1.37 to 1.48) and 1.43 (95% CI, 1.34 to 1.52) in low-, medium- and high-family affluence respectively; whereas males presented 0.14 (95% CI, 0.01 to 0.27), 0.71 (95% CI, 0.65 to 0.77) and 0.31 (95% CI, 0.22 to 0.39), respectively. The probability of a predictive episode of psychological symptoms (feeling low, irritability, nervousness, sleeping difficulties) occurring weekly or more has greatly increased in females of all socioeconomic classes.
Conclusions: These findings suggest that the increase in psychological disorders in adolescents should be considered a public health problem and further investigated through longitudinal studies and continuous monitoring of health trends.
Characterization of bioplastics developed from Kappaphycus alvarezii crosslinked with commercial sodium alginate
Authors: Hanry Eunice Lua , Surugau Noumie
Published: March 2023

Plastic pollution has become one of the most concerning problems globally due to excessive use of one-time use plastics. However, bioplastics could be the answer to help combat this problem as they are readily biodegradable. Development of bioplastics was done by mixing seaweed biomass into distilled water at specific ratio, using glycerol as plasticizer. Bioplastics were developed at the ratio of 100:0, 75:25, 50:50, 25:75, and 0:100 K. alvarezii to commercial sodium alginate ratio. Characterization was done based on their appearance, mechanical, thermal and permeability properties, and biodegradability. Resulted data for their appearance showed that when more K. alvarezii was in the mixture there were more colour differences in comparison to white background and the same trend for the opacity due to the natural colour of whole K. alvarezii. As for their mechanical properties, tensile strength of the bioplastics decreased from 100:0 ratio to 0:100 ratio at 7.91 ± 0.45 MPa (100:0), 6.78 ± 0.31 MPa (75:25), 5.20 ± 0.37 MPa (50:50), 4.13 ± 0.17 MPa (25:75) and 3.76 ± 0.14 MPa (0:100), respectively. Same goes for their elastic modulus at 20.93 ± 0.61 MPa (100:0), 16.47 ± 0.99 MPa (75:25), 11.42 ± 0.53 MPa (50:50), 8.78 ± 0.45 MPa (25:75) and 6.65 ± 0.32 MPa (0:100), respectively. This shows that the addition of alginate enhances the elasticity but decreases tensile strength. As a conclusion, developed seaweed-based bioplastics resulted different properties at different mixture ratio show potential to be incorporated into the market as they are a greener option to fight single-use plastic wrappings such as saran wrap, beverages and food additive packets.
Incubadoras das Universidades Federais: uma análise dos editais de captação de empresas
Authors: Silva Felipe Venancio , Machado Júnior Celso , Luiz Gonçalves Martiniano Mauricio , Aparecida Caseiro Vilma
Published: March 2023

O presente artigo tem como objetivo analisar os pontos comuns dos editais de incubação de base tecnológica das universidades federais brasileiras. A fim de se alcançar o objetivo proposto, foi realizada uma pesquisa descritiva e exploratória. A obtenção dos dados foi feita mediante a análise documental dos editais disponíveis nos sites eletrônicos das instituições analisadas. Constatou-se que as instituições federais de Ensino Superior são um importante agente de desenvolvimento no Brasil, pois abrigam um terço das incubadoras existentes no país. O processo de seleção e elegibilidade para a incubação evidencia o interesse em projetos de inovação e de base tecnológica, e possuem a finalidade de criar e desenvolver as organizações com o auxílio da incubação. O tempo de incubação varia de 6 a 60 meses, com a taxa mensal de incubação variando de R$ 75,00 a R$ 1.890,00. Os serviços ofertados estão direcionados à disponibilização de estrutura física da instituição e apoio técnico relacionado às atividades de gestão.
FORMALDEHYDE ANALYSIS BY SPME ON-FIBER DERIVATIZATION: A STUDY OF THE KINETIC MODELS OF ADSORPTION FOR DIVINYLBENZENE
Authors: Dugheri Stefano , Cappelli Giovanni , Fanfani Niccolò , Ceccarelli Jacopo , Trevisani Lucia , Sarti Marco , Squillaci Donato , Bucaletti Elisabetta , Gori Riccardo , Mucci Nicola , Arcangeli Giulio
Published: March 2023

Solid-phase microextraction (SPME) via on-fiber derivatization with O-(2,3,4,5,6-pentafluorobenzyl)-hydroxylamine (PFBHA) and gas chromatographic determination is considered a technique of choice in many analytical fields for formaldehyde (FA) monitoring. Vapor phase adsorption models of experimentally loaded PFBHA on porous divinylbenzene (DVB) SPME were investigated at 60 °C, 35 cm s-1 of air velocity, in a 1-64 min range: with the fiber completely exposed, loaded PFBHA was about 276 µg. Among the models tested, i.e. heat transfer, pseudo-second-order (PSO), Elovich, intra-particle diffusion, extra-particle diffusion and Langmuir, PFBHA adsorption was best fit by the PSO model, showing agreement with experimental data (272 µg). The sampling rate of FA in our conditions, obtained with a permeation tube system, was in agreement with literature (17.4 and 18.3 mL min-1, respectively). Thus, an overall standardization of the sampling phase is presented, leaving the sampling time as the most crucial parameter to be set for future applications.