bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract

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

Abstract

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

Abstract
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

Abstract
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

Abstract
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.