bluuebunny/crossref_metadata_2025 huggingface dataset:
Parafoveal syntactic processing from word N+2 during reading: The case of gender-specific German articles
Authors: Schwalm Laura , Radach Ralph
Published: March 2023

Previous research has suggested that some syntactic information such as word class can be processed parafoveally during reading. However, it is still unclear to what extent early syntactic cueing within noun phrases can facilitate word processing during dynamic reading. Two experiments (total N=72) were designed to address this question using a gaze-contingent boundary change paradigm to manipulate the syntactic fit within a nominal phrase. Either the article (experiment 1) or the noun (experiment 2) was manipulated in the parafovea, resulting in a syntactic mismatch, depending on the condition. Results indicated a substantial elevation of viewing times on both parts of the noun phrase when conflicting syntactic information had been present in the parafovea. In experiment 1, the article was also fixated more often in the syntactic mismatch condition. These results provide direct evidence of parafoveal syntactic processing. Based on the early time-course of this effect, it can be concluded that grammatical gender is used to generate constraints for the processing of upcoming nouns. To our knowledge, these results also provide the first evidence that syntactic information can be extracted from a parafoveal word N+2. Results also support the notion that a minimal noun phrase can serve as a basic functional unit of information processing during reading.
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model
Authors: Theodorou Brandon , Xiao Cao , Sun Jimeng
Published: March 2023

Synthetic electronic health records (EHRs) that are both realistic and preserve privacy can serve as an alternative to real EHRs for machine learning (ML) modeling and statistical analysis. However, generating high-fidelity and granular electronic health record (EHR) data in its original, highly-dimensional form poses challenges for existing methods due to the complexities inherent in high-dimensional data. In this paper, we propose Hierarchical Autoregressive Language mOdel (HALO) for generating longitudinal high-dimensional EHR, which preserve the statistical properties of real EHR and can be used to train accurate ML models without privacy concerns. Our HALO method, designed as a hierarchical autoregressive model, generates a probability density function of medical codes, clinical visits, and patient records, allowing for the generation of realistic EHR data in its original, unaggregated form without the need for variable selection or aggregation. Additionally, our model also produces high-quality continuous variables in a longitudinal and probabilistic manner.
We conducted extensive experiments and demonstrate that HALO can generate high-fidelity EHR data with high-dimensional disease code probabilities (d ≈ 10,000), disease code co-occurrence probabilities within a visit (d ≈ 1,000,000), and conditional probabilities across consecutive visits (d ≈ 5,000,000) and achieve above 0.9 R2 correlation in comparison to real EHR data. In comparison to the leading baseline, HALO improves predictive modeling by over 17% in its predictive accuracy and perplexity on a hold-off test set of real EHR data. This performance then enables downstream ML models trained on its synthetic data to achieve comparable accuracy to models trained on real data (0.938 area under the ROC curve with HALO data vs. 0.943 with real data). Finally, using a combination of real and synthetic data enhances the accuracy of ML models beyond that achieved by using only real EHR data.
Pediatric craniocerebral firearm injuries: literature review, best practices in medical and surgical management, and case report.
Authors: Calame Dylan , Riaz Muhammad
Published: March 2023

Introduction: Civilian craniocerebral firearm injuries are extremely lethal. Management includes aggressive resuscitation, early surgical intervention when indicated, and management of intracranial pressure. Patient neurological status and imaging features should be used to guide management and the degree of intervention. Pediatric craniocerebral firearm injuries have a higher survival rate, but are much rarer, especially in children under 15 years old. This paucity of data underscores the importance of reviewing pediatric craniocerebral firearm injuries to determine best practices in surgical and medical management. Case presentation: A two-year-old female was admitted after suffering a gunshot wound to the left frontal lobe. Upon initial evaluation, the patient displayed agonal breathing and fixed pupils with a GCS score of 3. CT imaging showed a retained ballistic projectile in the right temporal-parietal region with bifrontal hemorrhages, subarachnoid blood, and a 5-mm midline shift. The injury was deemed nonsurvivable and non-operable, thus treatment was primarily supportive. Upon removal of the endotracheal tube, the patient began breathing spontaneously and improved clinically to a GCS score of 10–12. On hospital day 8, she underwent cranial reconstruction with neurosurgery. Her neurological status continued to improve, and she was able to communicate and follow commands but retained notable left sided hemiplegia with some left sided movement. On hospital day 15, she was deemed safe for discharge to acute rehabilitation.
Machine learning in Huntington's disease: exploring the Enroll-HD dataset for prognosis & driving capability prediction
Authors: Ouwerkerk Jasper , Feleus Stephanie , Zwaan Kasper van der , Li Yunlei , Roos Marco , Roon-Mom Willeke van , de Bot Susanne , Wolstencroft Katherine , Mina Eleni
Published: March 2023

Background: In biomedicine, machine learning (ML) has proven beneficial for the prognosis and diagnosis of different diseases, including cancer and neurodegenerative disorders. For rare diseases, however, the requirement for large datasets often prevents this approach. Huntington’s disease (HD) is a rare neurodegenerative disorder caused by a CAG repeat expansion in the coding region of the huntingtin gene. The world’s largest observational study for HD, Enroll-HD, describes over 21,000 participants. As such, Enroll-HD is amenable to ML methods. In this study, we pre-processed and imputed Enroll-HD with ML methods to maximise the inclusion of participants and variables. With this dataset we developed models to improve the prediction of the age at onset (AAO) and compared it to the well-established Langbehn formula. In addition, we used recurrent neural networks (RNNs) to demonstrate the utility of ML methods for longitudinal datasets, assessing driving capabilities by learning from previous participant assessments.
Results: Simple pre-processing imputed around 42% of missing values in Enroll-HD. Also, 167 variables were retained as a result of imputing with ML. We found that multiple ML models were able to outperform the Langbehn formula. The best ML model (light gradient boosting machine) improved the prognosis of AAO compared to the Langbehn formula by 9.2%, based on root mean squared error in the test set. In addition, our ML model provides more accurate prognosis for a wider CAG repeat range compared to the Langbehn formula. Driving capability was predicted with an accuracy of 85.2%. The resulting pre-processing workflow and code to train the ML models are available to be used for related HD predictions at: https://github.com/JasperO98/hdml/tree/main.
Conclusions: Our pre-processing workflow made it possible to resolve the missing values and include most participants and variables in Enroll-HD. We show the added value of a ML approach, which improved AAO predictions and allowed for the development of an advisory model that can assist clinicians and participants in estimating future driving capability.
Single Center Outcomes from Parenchymal-sparing Resections and Microwave Ablations for Neuroendocrine Tumor Liver Metastases
Authors: Lee Frances T. , Williams Jelani , Nordgren Rachel , Schwarz Jason L. , Setia Namrata , Roggin Kevin , Polite Blase , Rangrass Govind , Liao Chih-Yi , Millis J. Michael , Keutgen Xavier M.
Published: March 2023

Background: Surgical debulking of neuroendocrine tumor (NET) is used as a therapeutic approach for metastatic NETs in selected centers. Reported outcomes after parenchymal-sparing liver resections (PSR) in NET patients with high numbers of liver metastases are sparse.
Methods: NET patients that underwent surgical debulking from 2019 to 2021 were reviewed. Trends in perioperative liver function was examined, as well as symptom response, complications, and progression free survival.
Results: 1069 liver lesions (median=17) were debulked from 53 patients with a combination of PSR (45%) and ultrasound-guided microwave ablations (MWA) (55%). Post-operative transaminitis was proportional to the number of lesions debulked: Median POD1 AST was 681 IU/L for 1-15 lesions vs. 1396 IU/L for >15 lesions, p=0.01 (R2=0.271, p<0.001) and ALT was 596 IU/L vs 1149 IU/L, respectively, p=0.01 (R2=0.221, p<0.001). Thrombocytopenia occurred in 75% of patients and severity correlated with increasing number of lesions (median POD2 platelets 157 x 109/L for 1-15 lesions vs. 109 x 109/L for >15 lesions, p=0.04; R2=0.163, p=0.003). Synthetic liver function measured by postoperative INR (median POD1 INR 1.3 vs 1.4, p=0.21) and total bilirubin (median POD 2 TB 1.35 vs 0.95 mg/dL; p=0.67) did not differ according to number of lesions debulked. 13% of patients sustained a Clavien-Dindo grade 3/4 complication which was not associated with the number of lesions targeted. All patients with preoperative symptoms had improvement after surgery. Median time to recurrence was 10.9 months.
Conclusions: PSR with MWA for large numbers of NET liver metastases is safe and effective for symptom control and does not affect synthetic liver function. Transaminitis and thrombocytopenia are proportionate to the amount of liver lesions debulked.
Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas
Authors: Chang Ya-Sian , Tu Siang-Jyun , Chen Hong-Da , Chung Chin-Chun , Hsu Ming-Hon , Chou Yu-Pao , Lee Ya-Ting , Yen Ju-Chen , Jeng Long-Bin , Chang Jan-Gowth
Published: March 2023

Background
Comprehensive and integrative analysis of hepatocellular carcinoma (HCC) is important. In this study, we explored Taiwanese HCCs using multi-omics analyses.
Methods
We analyzed 254 HCCs by whole genome sequencing and total RNA sequencing, and then used bioinformatic tools to analyze genomic and transcriptomic alterations in coding and non-coding sequences to explore the clinical importance of each sequence.
Results
The frequencies of the five most commonly mutated cancer-related genes were TERT, TP53, CTNNB1, RB1, and ARID1A. Genetic alteration frequencies influenced the etiology of HCC; some alterations were also correlated with clinicopathological conditions. Many cancer-related genes had copy number alterations (CNAs) and structure variants (SVs) that changed according to etiology and exhibited potential associations with survival. We also identified several alterations in histone-related genes, HCC-related long non-coding RNAs, and non-coding driver genes that may contribute to the onset and progression of HCC. Transcriptomic analysis revealed that 229 differentially expressed and 148 novel alternative splicing (AS) genes, as well as the presence of fusion genes, were associated with patient survival. Moreover, somatic mutations, CNAs, and SVs were associated with immune checkpoint gene expression and tumor microenvironment. Finally, we identified relationships among AS, immune checkpoint gene expression and tumor microenvironment.
Conclusions
This study shows that genomic alterations are associated with survival, including DNA-based and RNA-based data. Moreover, genomic alterations and their associations with immune checkpoint genes and the tumor microenvironment may provide novel insights for the diagnosis and treatment of HCC.
Development of a machine learning-based prediction model for systemic inflammatory response syndrome after percutaneous nephrolithotomy and comparison with nomogram model
Authors: Zhang Tianwei , Zhu Ling , Wang Xinning , Zhang Xiaofei , Wang Zijie , Jiao Wei
Published: March 2023

The objective of this study was to develop and compare the performance of nomogram model and machine learning models for predicting the possibility of systemic inflammatory response syndrome (SIRS) following percutaneous nephrolithotomy (PCNL). We retrospectively reviewed the clinical data of 337 patients who received PCNL between May 2020 and June 2022. Eighty percent of the data were used as the training set, and the remaining data were used as the testing set. The nomogram and machine learning (ML) models were created using the training set and were validated using the testing set. Based on the areas under the receiver operating characteristic curve (AUC) and the calibration curve, we evaluated the predictive ability of the nomogram. The predictive performance of six machine learning models was determined by the AUC and accuracy. Multivariate logistic regression analysis revealed four independent risk factors associated with SIRS, including preoperative monocyte, serum fibrinogen, serum prealbumin, and preoperative SII. The above independent related factors were used as variables to construct the nomogram model. Among the six machine learning algorithms, the support vector machine (SVM) delivered the best performance with accuracy of 0.926, AUC of 0.952 [95% Confidence Interval (CI): 0.906–0.999], while the nomogram showed an AUC of 0.818. Compared with the nomogram model, the SVM model can provide more reliable prognostic information about the possibility of SIRS after PCNL, which can assist surgeons in clinical decision-making.
RETRACTED: Blood–Brain Barrier Disruption in Ischemic Stroke is associated with Perivenous-Enhanced Cortical Veins Detected by Contrast-Enhanced Black-Blood Magnetic Resonance Imaging.
Authors: Zhang Xiaoxia , Wang Tianle , Bai Yingnan , Li Zhiyu , Zhu Dan , Cheng Ailan , Li Yue-hua , Lu Qing
Published: March 2023

The authors have requested that this preprint be removed from Research Square.
Integrating Semantic Web into Context-Aware Mobile Application based on Cloud Computing
Authors: Lai Ting-Yan , Hsu I-Ching
Published: March 2023

The current context-aware mobile application approach lacks a standardized method for knowledge representation that can handle intelligence effects, such as automatic, dynamic, and intelligent support for mobile context-awareness applications. To tackle these intelligence issues, this research introduces the Semantic-aware Service into Cloud Computing Architecture (SSCCA) as a common scheme to enable intelligent context-aware mobile applications using a fundamental cloud service model. SSCCA combines Cloud Computing and Semantic Web research to facilitate the development of intelligent cloud computing applications. To validate the proposed approach, a Smart Context-aware Invoice Platform (SCIP), an intelligent cloud computing application built on SSCCA, is implemented to gather personal electronic invoices and offer context-aware mobile services on demand.
Mycelium material in interior design. Acceptance level amongst future users of new eco-aesthetics
Authors: Bonenberg Agata , Sydor Maciej , Doczekalska Beata , Cofta Grzegorz , Grygorowicz-Kosakowska Klaudia
Published: March 2023

Mycelium-based composites (MBCs) show great potential as a sustainable alternative to conventional biopolymers in the production of environmentally-friendly furniture and interior decor. While these innovative biocomposites have numerous ecological benefits, they pose a new challenge in aesthetics and consumer acceptance. Furniture made from mycelium and lignocellulosic substrates has a porous texture, uneven surface, and unpredictable coloring due to the natural growth patterns of mycelium. Although production methods can be improved and imperfections reduced, the inherent randomness of mycelium growth cannot be eliminated. These factors and the natural provenance of such materials can be a challenge in interior design. For these reasons, it is justified to measure the level of acceptance of such materials as objectively as possible. The article presents and justifies three complementary consumer tests suitable for MBC materials and product acceptance level measuring. The proposed set of consumer tests includes (1) an organoleptic evaluation of the material, using three senses simultaneously, (2) a product acceptance and desirability evaluation, and (3) comparative tests of products with the same function, dimensions, and shape, made of two different materials. The results of these tests are complementary and demonstrate to which extent products made of MBC are potentially acceptable to the public. All of these methods support current and future applications of MBC for manufacturing items where enhanced aesthetics are required.
The Self-Organized Criticality and Periodicity of Temporal Sequences of Earthquakes
Authors: Ida Yoshiaki
Published: March 2023

A new cellular automaton model has been developed to examine the nature of temporal sequences of earthquakes. The model takes the space dependence of strength on inhomogeneous faults into account and assumes that an earthquake produces a continuously connected area with uniform stress drop. In the model viscous slip is also introduced so that earthquakes may be realizable only when the applied stress accumulates faster than the viscous relaxation. The analysis reveals that the sequences of earthquakes commonly satisfy the power law relation between the intensity and frequency of earthquakes so that earthquakes may be in the state of self-organized criticality. On the other hand, periodicity appears in some sequences that consist of the groups of high seismic activity repeated between calm intervals at an almost constant period. Therefore, self-organized criticality and periodicity coexist in these sequences and the claim that earthquakes are unpredictable because of self-organized criticality may be inadequate.
Optimization of intracranial electrical stimulation to improve mood states
Authors: Cao Dan , Liu Qihong , Li Jin , Jiang Tianzi
Published: March 2023

Intracranial electrical stimulation (iES) is a promising tool for refractory mood disorders. Lack of efficacy in some iES studies raises questions about the optimal anatomical target, the timing of the stimulation, and the related neural mechanisms. Here, we combined iES with intracranial electroencephalography (iEEG) recordings to address the following questions: 1) Where to stimulate? We studied the effects of stimulation on brain regions in the emotional network and found that only orbitofrontal cortex (OFC) stimulation improved mood and induced related changes in neural activity. 2) When to stimulate? We tested the hypothesis that the effect of iES was state-dependent and investigated the brain state that facilitated the iES effect on mood states. We trained multivariate classifiers to discriminate neural activity that predicted mood states during natural mood fluctuations and then decoded the neural activity in later sessions when delivering stimulation. Stimulation suppressed the delta-theta power in the OFC if it was delivered when the brain was classified as being in a low mood state but had no effect when the brain was classified as being in a high mood state. 3) What are we modulating? OFC stimulation induced decreased delta-theta activity, increased gamma activity, and increased effective connectivity between areas in the emotional network. These findings suggest that the OFC is a promising new iES target and provided proof of concept for state-specific stimulation in mood improvement.
Pharmacogenomic Analysis of Medial Temporal Lobe Epilepsy with Hippocampal Sclerosis in Humans and Animal Models
Authors: Guo Jia , Liu Ruihan , Kong Yu , Xiao Xiangyu , Lv Shaomin , Lv Jiahua , Wang Xinyu , Yao Lei , Wang Xingchen , Li Xuebin , Wen Limin , Guo Yafeng , Shi Yaru , Tan Xinlu , Qiao Qicheng , Kong Qingxia
Published: March 2023

Background
Epilepsy is a neurological disorder caused by abnormal brain discharges. In recent years, genome-wide expression studies (GES) have been conducted using human patient samples and experimental models of epilepsy. Numerous molecular targets for epileptogenesis and treatment have been identified. However, there is still an urgent need to identify new biomarkers for epilepsy.
Methods
We performed a meta-analysis and convergence analysis of GES available from human samples and mouse and rat models to identify differentially expressed genes. Functional and pathway enrichment analysis of differentially expressed genes was performed using Sangerbox 3.0. Protein–protein interaction networks were mapped using STRING and subsequently visualized using Cytoscape. Disease gene–drug interactions were explored using the Comparative Toxicology Database and the Drug Gene Interaction Database.
Results
The ten most highly differentially expressed genes were, LRRTM1, STX1A, SNAP25, SYNPR, STXBP1, NRXN1, CPLX1, SYT4, SYT13 and GABRG2, which were supported by multi-lineage genomic evidence. A functional enrichment analysis identified several important classifications, including regulation of neuronal differentiation and regulation of vesicle-mediated transport. Potential druggable genes were also identified (e.g., LRRTM1, GABRG2, CYP4X1, CHGB and TMEM130).
Conclusions
We performed a meta-analysis and convergence analysis of GES from human samples and multiple animal models of epileptogenesis by integrating the results of several studies. We identified the top ten candidate genes and pathways for epileptogenesis. Among them, LRRTM1 and GABRG2 have been validated to have high druggable value. The other eight genes require further study to explore their potential as therapeutic targets in medial temporal lobe epilepsy with hippocampal sclerosis.
Comprehensive genetic screening of early-onset dementia patients in an Austrian Cohort-Suggesting new disease-contributing genes
Authors: Silvaieh Sara , König Theresa , Wurm Raphael , Parvizi Tandis , Berger-Sieczkowski Evelyn , Goeschl Stella , Hotzy Christoph , Wagner Matias , Berutti Riccardo , Sammler Esther , Stögmann Elisabeth , Zimprich Alexander
Published: March 2023

Early-onset dementia (EOD), with symptom onset before age 65, has a strong genetic burden. Due to genetic and clinical overlaps between different types of dementia, whole-exome sequencing (WES) has emerged as an appropriate screening method for diagnostic testing and novel gene-finding approaches. We performed WES and C9orf72 repeat testing in 60 well-defined Austrian EOD patients. Seven patients (12%) carried likely disease-causing variants in monogenic genes, PSEN1, MAPT, APP, and GRN. Five patients (8%) were APOE4 homozygote carriers. Definite and possible risk variants were detected in the genes TREM2, SORL1, ABCA7 and TBK1. In an explorative approach, we cross-checked rare gene variants in our cohort with a curated neurodegeneration candidate gene list and identified DCTN1, MAPK8IP3, LRRK2, VPS13C and BACE1 as promising candidate genes. Conclusively, 12 cases (20%) carried variants relevant to patient counseling, comparable to previously reported studies. Reduced penetrance, oligogenic inheritance and not yet identified high-risk genes might explain the high number of unresolved cases. To address this issue, we provide complete genetic and phenotypic information (uploaded to the European Genome-phenome Archive), enabling other researchers to cross-check variants. Thereby, we hope to increase the chance of independently finding the same gene/variant-hit in other well-defined EOD patient cohorts, thus confirming new genetic risk variants or variant combinations.
Facilitators and Barriers Faced by Women With Severe Mental Illness in Gaining Employment- a Qualitative Study From Rural India
Authors: Meera J , Sivakumar Thanapal , Shanivaram Reddy K , Kumar Devvarta , Chandra Prabha S
Published: March 2023

Background:Women with severe mental illness (SMI) in India endure various psychosocial issues besides the burden of mental illness. It becomes more challenging in rural areas due to difficulties accessing services and limited employment opportunities. Among various constraints, lack of employment opportunities is quite pressing as being employed helps women with SMI to have a better quality of life and a sense of independence. Given this, we tried to understand the facilitators and barriers women with SMI from rural areas face in gaining and continuing employment.
Methods: In-depth qualitative interviews were conducted to identify facilitators and barriers to employment opportunities for women with SMI in rural areas. Fifteen women with SMI receiving treatment from a community-based rehabilitation program run at an agrarian rural block in South India and other stakeholders, namely the caregivers of patients, a social worker, and a community program coordinator from a non-governmental organisation, were interviewed to understand the facilitators and barriers experienced by women with SMI in rural areas. Audio recordings of the interviews were transcribed, translated, and coded. Thematic analysis was used to identify emerging themes.
Results:Findings of the thematic analyses indicate that facilitators in getting employed are medication adherence, work experience, support from family and co-workers, and financial gain from employment. Barriers that restricted women with SMI from getting employed were lack of motivation, social exclusion, medication side-effects, default in previous loans (mainly taken for agriculture purposes), lack of proof of identity, stigma from the community, lack of empowerment, and a patriarchal mindset.
Conclusion:Employment is an essential part of recovery for women with SMI. The findings indicate the need to address systemic and personal barriers and promote work-related training and family support
Numerical approximations of one-point large deviations of stochastic differential equations with small noise
Authors: Hong Jialin , Jin Diancong , Sheng Derui
Published: March 2023

This paper studies the numerical approximation of the one-point large deviation of nonlinear stochastic differential equations (SDEs) with small noise via the stochastic θ-method. We first prove that the numerical method satisfies the one-point large deviations principle with a discrete rate function for sufficiently small step-size. It turns out that similar to the continuous case, the discrete rate function is also implicitly determined by the minimum of an action functional, which brings difficulty in the convergence analysis of the discrete rate functions. This is overcome by the error estimates between the numerical and original action functionals, the coerciveness of action functionals, and the continuity of the original rate function. As a result, we obtain that the convergence orders of the discrete rate function in the cases of multiplicative and additive noises are 1/2 and 1 respectively. Our results provide an effective approach to numerically approximating the asymptotical behavior of probabilities that exact solutions of SDEs with small noise deviate from their deterministic counterparts.
Large Deviations For Stochastic Volterra Equations With Reflection In Hölderian Norm
Authors: RANDRIANOMENJANAHARY R.A , RABEHERIMANANA T. J.
Published: March 2023

In this paper, we study the large deviations principle (LDP) of the Volterra process with reflection in Hölderian norm by the Azencott method. As an application, we obtain the large deviations principle (LDP) of a perturbed diffusion process driven by the Fractional Brownian Motion with Hurst parameter H ∈ (0, 1)
Bioproduction platform using a novel cane toad (Rhinella marina) N-methyltransferase for psychedelic-inspired drug discovery
Authors: Chen Xue , Li Jing , Yu Lisa , Dhananjaya D , Maule Francesca , Cook Sarah , Chang Limei , Gallant Jonathan , Press David , Bains Jaideep S , Raithatha Sheetal , Hagel Jillian , Facchini Peter
Published: March 2023

Psychedelic indolethylamines have emerged as potential medicines to treat several psychiatric pathologies. Natural sources of these compounds include ‘magic mushrooms’, plants used to prepare ahayuasca, and toads. Owing to the occurrence of indolethylamines such as N,N-dimethyltryptamine, toad skin and parotid gland preparations have a history of ceremonial use, yet their biosynthesis remains uncharacterized. We report the isolation of an indolethylamine N-methyltransferase (RmNMT) from cane toad (Rhinella marina). Unlike functionally similar mammalian and fungal enzymes, the efficiency and promiscuity of RmNMT made it suitable for the bioproduction of new-to-nature indolethylamine derivatives. N,N-Dimethylated indolethylamines showed reduced affinity and engagement at 5-HT1A and 5-HT2A receptors respectively, compared with primary amine equivalents. Despite reduced 5-HT2A receptor engagement of tertiary amines, only these molecules induced hallucinogenic behavior in mice underscoring the importance of metabolic stability. The discovery of RmNMT facilitated the establishment of a bioproduction platform for the isolation and pharmacological screening of novel indolethylamines.
Simultaneous Power Generation and Dairy Effluent treatment Using Microbial Fuel Cell
Authors: Fazal Umair , Tabish AN , Akbar Samina , Farhat Iqra , Irshad Muneed , Kazmi Mohsin , Ali Haider , Irfan Muhammad
Published: March 2023

Discharge of wastewater containing traces of cow dung from a dairy farm poses significant threat to the environment, which necessitates the effluent treatment. Microbes present in organic rich dairy effluent containing traces of cow dung produced electricity. The performance of Microbial Fuel Cell(MFC) was analyzed by drawing I-V curves and performing electrochemical impedance spectroscopy (EIS). The MFC produced maximum power density of 203 mWm-2 at a current density of 1191 mAm-2. The Chemical Oxygen Demand (COD) removal efficiency was found to be 81% after 10 days of MFC operation. Decrease in anode polarization resistance confirmed the formation of biofilm at anode surface.
Associação entre Terapia Fotodinâmica antimicrobiana e Nanotecnologia: Revisão Sistemática e Meta-análise
Authors: Ramirez Iago , Soares Lélio Fernando Ferreira , Nascimento Victor Alves , Reis Caio Luiz Bitencourt dos , Almeida Ana Claudia Pedreira de , Oliveira Daniela Silva Barroso de
Published: March 2023

A terapia fotodinâmica antimicrobiana (aPDT) tem se apresentado como uma terapia complementar de grande eficiência no contexto odontológico. Em diferentes especialidades odontológicas tem se mostrado útil como fator de redução de carga microbiana. Recentemente foi sugerida a associação entre essa terapia e a utilização de nanopartículas e nanotecnologia em geral. Assim, essa revisão sistemática buscou avaliar qual o desfecho geral dessa associação no contexto odontológico. Foi realizada busca em oito bases de dados virtuais, foram estabelecidos critérios de elegibilidade conforme estratégia PICO, e confeccionado fluxograma PRISMA para apresentação da seleção da amostra narrativa e quantitativa. De 930 resultados foram selecionados 27 para síntese narrativa e 4 para a quantitativa. O risco de viés foi acessado por meio de adaptação da ferramenta SYRCLE, e foi confeccionada uma tabela agrupando os dados de interesse para as sínteses. O delineamento mais incidente foi de ensaios in vitro, em que se percebeu também diferentes protocolos de utilização da aPDT, e uma grande variedade de nanotecnologias associadas. O risco de viés apontou algumas respostas inconclusivas, devido à própria ferramenta SYRCLE e sua relação deficiente com os diferentes delineamentos incluídos. A síntese narrativa e a síntese quantitativa apresentaram desfecho favorável à associação entre aPDT e a nanotecnologia, especialmente na redução de microrganismos de interesse endodôntico e periodontal comuns em casos de infecções persistentes e/ou recorrentes. Contudo, mesmo com resultados promissores, mais estudos são necessários para trazer robustez necessária para a inferência dessa relação satisfatória à prática odontológica clínica.
Big Data-Based Analysis of Consumption changes and Influencing Factors in Residential Area in Seoul: Before and after the COVID-19 outbreak
Authors:   Korea Urban & Real Estate Association, Nam Jin , Son Su-Min
Published: March 2023

With the outbreak of COVID-19, human activities and consumption behavior have changed, and as a result, consumption space has also changed. Therefore, the purpose of this study is to empirically identify whether the impact of consumption sales varies depending on the characteristics of each region by utilizing the difference in consumption sales in Seoul, which is spotlighted as a consumption space due to the outbreak of COVID-19. As a result of the analysis, areas with large numbers of bus stops and traditional markets and areas with a high industry diversity index had a small impact on consumption sales due to COVID-19. On the other hand, it was found that areas with many residents of the youth and the elderly, small businesses, developmental commercial districts, and teaching institutes were hit hard. This study suggests that when establishing a support policy for small business owners due to the outbreak of COVID-19, a support policy should be established in consideration of the characteristics of the background area such as the size of the business and the resident population.
Analysis of Operation and Management System of Urban Regeneration Project Using Smart Technology
Authors:   Korea Urban & Real Estate Association, Han Yeon-Oh , Yun Byung-Hun , Jeong Yeun-Woo , Lee Sam-Su
Published: March 2023

As the 4th industrial revolution technology leads changes in the social environment, smart city is highlighted as an important issue in the city, and related policies have been focused on as a growth engine for national innovation.‘Smart city-type urban regeneration project’ and ‘living-friendly urban regeneration smart technology support project’ are being promoted as projects that utilize smart technology to solve local problems in connection with existing urban regeneration projects. However, various difficulties have arisen in the course of the project, and several issues regarding sustainability have been raised after the completion of the project.Therefore, this study reviewed the current status of related projects and conducted in-depth interviews with the project managers in the target site on the aspects of operation, maintenance, and management.Through this, it was suggested that ‘the establishment of a standardized integrated system system and the establishment of a department in charge of related tasks’ is necessary.It is expected that the local environment improvement project using smart technology will change into more diverse forms in the future, and a structural system should be prepared to support it in response to specific business objectives.
Desafiando a ordem estabelecida: a subversão da economia dos bens simbólicos em uma instituição neopentecostal no campo religioso brasileiro
Authors: Silva Júnior Isley Borges da , Enoque Alessandro Gomes , Saraiva Luiz Alex Silva
Published: March 2023

O crescimento do segmento neopentecostal e seus impactos no campo religioso brasileiro têm sido objeto de estudo de pesquisadores das mais diversas áreas do conhecimento. Embora existam artigos de autores brasileiros que tenham como escopo a análise da lógica de funcionamento do mercado de bens simbólicos em diversos campos e à luz da teoria bourdiesiana, trabalhos que busquem melhor compreender o campo religioso brasileiro, a partir de uma análise da economia de seus bens simbólicos, são incipientes. Da mesma forma, estudos que busquem aproximar essa discussão daquela empreendida no campo dos Estudos Organizacionais, por meio da análise de instituições religiosas das diversas vertentes presentes na realidade brasileira, parecem ser, ainda, escassos. Tendo isso em vista, o propósito principal deste artigo consiste em compreender as especificidades do mercado de bens materiais e simbólicos em uma instituição religiosa neopentecostal criada no final da década de 1980, no interior de Minas Gerais. Para fins deste trabalho, de natureza essencialmente qualitativa, foram realizadas quinze entrevistas semiestruturadas com pastores e fiéis da instituição religiosa neopentecostal pesquisada.  Pudemos observar, a partir delas, que essa instituição ocupa uma posição “subversiva” dentro do campo religioso brasileiro, e, no evangélico, em específico. Tal posicionamento “subversivo” pode ser observado, por exemplo, no estabelecimento de uma relação líder/fiel pautada em uma lógica transacional, e também por uma clara negação do econômico no que diz respeito ao comércio de artigos religiosos, bem como pela construção de um ambiente informal dentro e fora do espaço da igreja.
A Hybrid Molecularly Imprinted Polymer for Selective Adsorption of Urinary S-Phenylmercapturic Acid
Authors: Gomes Rafaela , Tonucci Marina , Prete Maiyara , Tarley César Ricardo , Baeta Bruno Eduardo , Afonso Robson
Published: March 2023

A hybrid molecular imprinted polymer (HMIP) obtained by the organic monomer 4-vinylpyridine (4-VP) and the inorganic precursor tetraethyl orthosilicate (TEOS) was synthesized for the selective extraction of urinary S-phenylmercapturic acid (u-SPMA), a biomarker of benzene exposure. The chemical and structural characterization of the synthetic adsorbent was performed by Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and textural analysis employing N2 adsorption-desorption isotherms. Selective and adsorptive performance of the imprinted polymers were evaluated by kinetic, isothermal, thermodynamic, and selectivity studies. The kinetic data were well adjusted to pseudo-second order and intraparticle diffusion models, leading to selectivity coefficient (K) value of 0.03 g mg-1 min-1 for HMIP. In addition, the adsorption isotherms were better described by the Sip model achieving a maximum adsorption capacity of 284.81 μg g-1 (at 288.15 K).
Cancel culture and nude living on virtual media: A case of Guru Mizan Qudsiyah Lombok
Authors: Fikri Muhammad , Hariyanto Ishak , Kadewandana Donie
Published: March 2023

Virtual media has a major influence on human life as a means of interaction and has even become a major force for society in controlling social change. Nonetheless, human interaction in virtual media is haunted by the pain of boycott and rejection. This study aims to examine the cancel culture phenomenon that occurs in virtual media. This study uses a qualitative method in which the primary data is taken from Youtube and articles related to the issue of cancel culture. Data on the cancel culture phenomenon experienced by Tuan Guru Mizan Qudsiyah from Lombok on YouTube media were analyzed using Pierre Bourdieu's genetic structuralism theory. The results of the study reveal that there is a cancel culture: boycotts or rejection because the statements and actions of Tuan Guru Mizan Qudsiyah on YouTube in 2020 are considered to have damaged public psychology. Tuan Guru Mizan's lecture on YouTube went viral because of his statement insulting the tombs of Lombok's saints who were considered sacred and was eventually canceled by a mob who then attacked and burned his pesantren. This study contributes to the formation of a new virtual space based on the value of Islamic communication, where cancellation occurs if friendly Islamic communication is not implemented.***Media virtual memiliki pengaruh besar bagi kehidupan manusia sebagai sarana berinteraksi bahkan menjadi kekuatan besar bagi masyarakat dalam mengendalikan perubahan sosial. Meskipun demikian, interaksi manusia di media virtual dihantui oleh pedihnya boikot dan penolakan. Studi ini bertujuan mengkaji fenomena ‘cancel culture’ yang terjadi dalam media virtual.  Studi ini menggunakan metode kualitatif dimana data primer diambil dari Youtube dan artikel terkait isu cancel culture. Data tentang fenomena cancel culture yang dialami oleh Tuan Guru Mizan Qudsiyah asal Lombok pada media YouTube dianalisis dengan menggunakan teori strukturalisme genetik Pierre Bourdieu. Hasil kajian mengungkapkan adanya budaya batal: boikot atau penolakan karena pernyataan dan tindakan Tuan Guru Mizan Qudsiyah di YouTube pada tahun 2020 yang dinilai mencederai psikologi publik. Ceramah Tuan Guru Mizan di YouTube menjadi viral karena pernyataannya yang menghina makam para wali Lombok yang dianggap keramat dan akhirnya dibatalkan oleh massa yang kemudian menyerang dan membakar pesantrennya. Kajian ini berkontribusi pada pembentukan ruang virtual baru berbasis nilai komunikasi Islam, dimana pembatalan terjadi jika komunikasi Islami yang ramah tidak diterapkan.
The role of sharia banking communication in strengthening decision making's factors
Authors: Savitri Fania Mutiara , Safitri Fika , Yunita Kartika , Setyari Endah Puspa , Yapar Osman Erdem
Published: March 2023

Bank Syariah Indonesia (BSI) is the new brand from the merger of three Banks: BRI Syariah, BNI Syariah and Bank Mandiri Syariah. The leaders face the difficulties to manage every decision and human resource harmonization in branch level because of culture on each bank. This research was conducted to determine the effect of emotional intelligence professionalism and participatory leadership on participatory leadership with communication as a moderating variable. The research method in this study is a quantitative method. The population of this study was 100 employees of the BSI with the sampling technique using purposive sampling. The analysis used is in the form of SEM analysis using the PLS application. The results of this study indicate that the emotional intelligence of professionalism and participatory leadership has no effect on participatory leadership. Meanwhile, after being moderated by communication, the emotional intelligence, professionalism and participatory leadership have effects on decision making. Main conclusion is collaboration requires communication. This study has implications for the importance of a communication model based on Islamic values in managing Islamic institutions/organizations.***Bank Syariah Indonesia (BSI) merupakan brand baru dari penggabungan tiga Bank: BRI Syariah, BNI Syariah dan Bank Mandiri Syariah.  Para pemimpin menghadapi kesulitan untuk mengelola setiap keputusan dan harmonisasi sumber daya manusia di tingkat cabang karena budaya di masing-masing bank.  Penelitian ini dilakukan untuk mengetahui pengaruh profesionalisme kecerdasan emosional dan kepemimpinan partisipatif terhadap kepemimpinan partisipatif dengan komunikasi sebagai variabel moderasi.  Metode penelitian dalam penelitian ini adalah metode kuantitatif.  Populasi penelitian ini adalah 100 pegawai BSI dengan teknik pengambilan sampel menggunakan purposive sampling. Analisis yang digunakan berupa analisis SEM dengan menggunakan aplikasi PLS. Hasil penelitian ini menunjukkan bahwa kecerdasan emosional profesionalisme dan kepemimpinan partisipatif tidak berpengaruh terhadap kepemimpinan partisipatif.  Sedangkan setelah dimoderatori oleh komunikasi, kecerdasan emosional, profesionalisme dan kepemimpinan partisipatif berpengaruh terhadap pengambilan keputusan. Kesimpulan utama penelitian ini adalah kolaborasi menyaratkan komunikasi. Studi ini berimplikasi terhadap pentingnya suatu model komunikasi berbasis nilai-nilai Islam dalam mengelola lembaga/organisasi keislaman.
Research trends of Islamic Communication and Broadcasting (KPI) students and challenges of Islamic communication science
Authors: Usman Usman , Manan Abdul , Hasan Yummil
Published: March 2023

The scientific development of Islamic communication is determined by research based on Islamic values. However, the challenge is that Islamic communication deals with established general communication sciences. This study aims to see trends in the research direction of Islamic Communication and Broadcasting Study Program students and its position in the development of Islamic communication science. This study uses a type of qualitative study conducted at the Department of Islamic Communication and Broadcasting, Faculty of Da'wah and Communication Studies, UIN Imam Bonjol Padang with documentation data collection techniques. The objects studied were original documents resulting from student research for the last 5 (five) years totaling 298 titles. The study findings show that 40.98% of students choose mass communication and new media studies, only 19.67% choose da'wah communication studies and da'wah scholarship. This certainly has an influence on the scientific construct of Islamic communication. This means that the discourse on communication science is still dominated by "secular" communication studies, there are still few communication studies originating from Islamic teachings.  The implication of this study is the need to encourage the integration of Islamic communication science and general communication science in future KPI student research activities. ***Perkembangan keilmuan komunikasi Islam ditentukan oleh penelitian-penelitian yang berbasis pada nilai Islam. Namun, tantangannya adalah komunikasi Islam berhadapan dengan keilmuan komunikasi umum yang sudah mapan. Studi ini bertujuan untuk melihat kecenderungan arah penelitian mahasiswa Program Studi Komunikasi dan Penyiaran Islam serta posisinya bagi pengembangan keilmuan komunikasi Islam. Studi ini menggunakan jenis kajian kualitatif yang dilakukan di Jurusan Komunikasi dan Penyiaran Islam, Fakultas Dakwah dan Ilmu Komunikasi, UIN Imam Bonjol Padang dengan teknik pengumpulan data dokumentasi. Objek yang dikaji adalah dokumen asli hasil penelitian mahasiswa selama 5 (lima) tahun terakhir sebanyak 298 judul.  Temuan studi menunjukkan 40,98% mahasiswa memilih kajian komunikasi massa dan media baru, hanya 19,67% memilih kajian komunikasi dakwah dan keilmuan dakwah. Hal ini tentu memberikan pengaruh terhadap konstruk keilmuan komunikasi Islam. Artinya wacana tentang ilmu komunikasi masih didominasi oleh kajian-kajian komunikasi yang bersifat “sekuler”, masih sedikit kajian-kajian komunikasi yang bersumber dari ajaran agama Islam. Implikasinya, studi ini mendorong perlunya integrasi keilmuan komunikasi Islam dan ilmu komunikasi umum dalam kegiatan riset mahasiswa KPI kedepan.
Online Buying and Selling Transactions during The Covid-19 Pandemic
Authors: Yuliana Rr. Retno Rizki Dini , Adityawati Septian
Published: March 2023

The Covid-19 pandemic that has hit the whole world since the end of 2019 has limited community activities, including economic transactions. This study aims to analyze the impact of Covid-19 on the behavior of Indonesian people. It also explained online purchases and sales and the implications of these changes. This study used quantitative descriptive analysis with data collection through online surveys. The results showed that online purchases increased significantly, the majorities are health products and ready-to-eat foods. Many MSMEs felt a positive impact, where new businesses have sprung up to respond to high demand. Some respondents have just started a business during Covid-19 and started trying to sell their products online.
Globalization on The Railway Transport Sector in Africa
Authors: Yangailo Tryson
Published: March 2023

This research examined the impact and challenges of globalization on railway transport sector in Africa. The study employed two railway companies as sample, state-owned railway company and private owned company. Using questionnaire as research instruments, data were collected and analyzed with simple percentages and non-parametric Kruskal-Wallis statistical tools. The major findings of the study were that: (a) the problem of competition and poor technology are the greatest challenges; (b) Railway companies with fewer globalization challenges perform significantly much better than those with more challenges; (c) Managers with positive attitude toward globalization perform significantly better than those with negative attitude and; (d) Railway state-owned receives government’s support but not enough to warrant its competitiveness. The study concluded that for railway sector to continue surviving in this globalization era, governments must immediately step up and render support to railway transport sector as opposed to only supporting road sector