bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review of Progress and Prospects in Research on Enzymatic and Non-
Enzymatic Biofuel Cells; Specific Emphasis on 2D Nanomaterials
Authors: Geetha Mithra , Sadasivuni Kishor Kumar , Al-Ejji Maryam , Sivadas Nandagopal , Baig Moghal Zubair Khalid , Promi Tamanna Jannat , Ahmad Sumayya Ali , Alabed Sara , Hijazi Dima Anwar , Alsaedi Fatimatulzahraa , Al-Shaibah Faozia Nasser 
Published: December 2022

Abstract:
Energy generation from renewable sources and effective management are two critical challenges for sustainable development. Biofuel Cells (BFCs) provide an elegant solution by com-bining these two tasks. BFCs are defined by the catalyst used in the fuel cell and can directly gener-ate electricity from biological substances. Various nontoxic chemical fuels, such as glucose, lactate, urate, alcohol, amines, starch, and fructose, can be used in BFCs and have specific components to oxide fuels. Widely available fuel sources and moderate operational conditions make them promise in renewable energy generation, remote device power sources, etc. Enzymatic biofuel cells (EBFCs) use enzymes as a catalyst to oxidize the fuel rather than precious metals. The shortcoming of the EBFCs system leads to integrated miniaturization issues, lower power density, poor operational sta-bility, lower voltage output, lower energy density, inadequate durability, instability in the long-term application, and incomplete fuel oxidation. This necessitates the development of non-enzymatic bio-fuel cells (NEBFCs). The review paper extensively studies NEBFCs and its various synthetic strat-egies and catalytic characteristics. This paper reviews the use of nanocomposites as biocatalysts in biofuel cells and the principle of biofuel cells as well as their construction elements. This review briefly presents recent technologies developed to improve the biocatalytic properties, biocompatibil-ity, biodegradability, implantability, and mechanical flexibility of BFCs.
Analysis of Sparse Signal Sequences under Compressive Sampling Techniques
for Different Measurement Matrices
Authors: Devendrappa Deepak M. , Palani Karthik , Ananth Deepak N. 
Published: December 2022

Introduction::
A more modern, extremely applicable method for signal acquisition is
compression sensing. It permits effective data sampling at a rate that is significantly lower than what
the Nyquist theorem suggests. Compressive sensing has a number of benefits, including a muchreduced
demand for sensory devices, a smaller memory storage need, a greater data transfer rate,
and significantly lower power usage. Compressive sensing has been employed in a variety of applications
because of all these benefits. Neuro-signal acquisition is a domain in which compressive
sensing has applications in the medical industry.

Methods::
The novel methods discussed in this article are FFT-based CoSaMP (FFTCoSaMP),
DCT-based CoSaMP(DCTCoSaMP) and DWT-based CoSaMP (DWTCoSaMP) based on sparse
signal sequences / dictionaries by means of Transform Techniques, where CoSaMP stands for Compressive
Sampling Matching Pursuit with respect to Objective Quality Assessment Algorithms like
PSNR, SSIM and RMSE, where CoSaMP stands for Compressive Sampling Matching Pursuit.

Results:
DWTCoSaMP is giving the PSNR values of 40.26 db, for DCTCoSaMP and FFTCoSaMP,
PSNR is 36.76 db and 34.76 db. For DWTCoSaMP, SSIM value is 0.8164, and for DCTCoSaMP
and FTCoSaMP, SSIM 0.719 and 0.5625 respectively. Finally, for DWTCoSaMP, RMSE value is
0.442, and for DCTCoSaMP and FFTCoSaMP, SSIM 0.44 and 0.4425, respectively.

Conclusion::
Among Compressed sampling techniques DWTCoSaMP, DCTCoSaMP and FFTCoSaMP
discussed in this paper, DWTCoSaMP reveals the best results.
Revealing the Roles of Part-of-Speech Taggers in Alzheimer Disease Detection: Scientific Discovery Using One-Intervention Causal Explanation
Authors: Wen Bingyang , Wang Ning , Subbalakshmi Koduvayur , Chandramouli Rajarathnam 
Published: December 2022

Background
Recently, rich computational methods that use deep learning or machine learning have been developed using linguistic biomarkers for the diagnosis of early-stage Alzheimer disease (AD). Moreover, some qualitative and quantitative studies have indicated that certain part-of-speech (PoS) features or tags could be good indicators of AD. However, there has not been a systematic attempt to discover the underlying relationships between PoS features and AD. Moreover, there has not been any attempt to quantify the relative importance of PoS features in detecting AD.

Objective
Our goal was to disclose the underlying relationship between PoS features and AD, understand whether PoS features are useful in AD diagnosis, and explore which PoS features play a vital role in the diagnosis.

Methods
The DementiaBank, containing 1049 transcripts from 208 patients with AD and 243 transcripts from 104 older control individuals, was used. A total of 27 PoS features were extracted from each record. Then, the relationship between AD and each of the PoS features was explored. A transformer-based deep learning model for AD prediction using PoS features was trained. Then, a global explainable artificial intelligence method was proposed and used to discover which PoS features were the most important in AD diagnosis using the transformer-based predictor. A global (model-level) feature importance measure was derived as a summary from the local (example-level) feature importance metric, which was obtained using the proposed causally aware counterfactual explanation method. The unique feature of this method is that it considers causal relations among PoS features and can, hence, preclude counterfactuals that are improbable and result in more reliable explanations.

Results
The deep learning–based AD predictor achieved an accuracy of 92.2% and an F1-score of 0.955 when distinguishing patients with AD from healthy controls. The proposed explanation method identified 12 PoS features as being important for distinguishing patients with AD from healthy controls. Of these 12 features, 3 (25%) have been identified by other researchers in previous works in psychology and natural language processing. The remaining 75% (9/12) of PoS features have not been previously identified. We believe that this is an interesting finding that can be used in creating tests that might aid in the diagnosis of AD. Note that although our method is focused on PoS features, it should be possible to extend it to more types of features, perhaps even those derived from other biomarkers, such as syntactic features.

Conclusions
The high classification accuracy of the proposed deep learner indicates that PoS features are strong clues in AD diagnosis. There are 12 PoS features that are strongly tied to AD, and because language is a noninvasive and potentially cheap method for detecting AD, this work shows some promising directions in this field.
The Prevalence, Features, Influencing Factors, and Solutions for COVID-19 Vaccine Misinformation: Systematic Review
Authors: Zhao Sihong , Hu Simeng , Zhou Xiaoyu , Song Suhang , Wang Qian , Zheng Hongqiu , Zhang Ying , Hou Zhiyuan 
Published: December 2022

Background
During the COVID-19 pandemic, infodemic spread even more rapidly than the pandemic itself. The COVID-19 vaccine hesitancy has been prevalent worldwide and hindered pandemic exiting strategies. Misinformation around COVID-19 vaccines is a vital contributor to vaccine hesitancy. However, no evidence systematically summarized COVID-19 vaccine misinformation.

Objective
This review aims to synthesize the global evidence on misinformation related to COVID-19 vaccines, including its prevalence, features, influencing factors, impacts, and solutions for combating misinformation.

Methods
We performed a systematic review by searching 5 peer-reviewed databases (PubMed, Embase, Web of Science, Scopus, and EBSCO). We included original articles that investigated misinformation related to COVID-19 vaccines and were published in English from January 1, 2020, to August 18, 2022. We excluded publications that did not cover or focus on COVID-19 vaccine misinformation. The Appraisal tool for Cross-Sectional Studies, version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2), and Critical Appraisal Skills Programme Checklist were used to assess the study quality. The review was guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and registered with PROSPERO (CRD42021288929).

Results
Of the 8864 studies identified, 91 observational studies and 11 interventional studies met the inclusion criteria. Misinformation around COVID-19 vaccines covered conspiracy, concerns on vaccine safety and efficacy, no need for vaccines, morality, liberty, and humor. Conspiracy and safety concerns were the most prevalent misinformation. There was a great variation in misinformation prevalence, noted among 2.5%-55.4% in the general population and 6.0%-96.7% in the antivaccine/vaccine hesitant groups from survey-based studies, and in 0.1%-41.3% on general online data and 0.5%-56% on antivaccine/vaccine hesitant data from internet-based studies. Younger age, lower education and economic status, right-wing and conservative ideology, and having psychological problems enhanced beliefs in misinformation. The content, format, and source of misinformation influenced its spread. A 5-step framework was proposed to address vaccine-related misinformation, including identifying misinformation, regulating producers and distributors, cutting production and distribution, supporting target audiences, and disseminating trustworthy information. The debunking messages/videos were found to be effective in several experimental studies.

Conclusions
Our review provides comprehensive and up-to-date evidence on COVID-19 vaccine misinformation and helps responses to vaccine infodemic in future pandemics.

Trial Registration
PROSPERO CRD42021288929; https://tinyurl.com/2prejtfa
The role of social media in optimizing the healthy lifestyle movement “GERMAS” during the COVID-19 pandemic
Authors: Baiquni Fahmi , Siswati Tri , Rachmawati Riadini , Widyawati Herni Endah , Wardhani Ratri Kusuma , Supriyati Supriyati 
Published: December 2022

The Coronavirus Disease (COVID-19) demands community participation to overcome the spread of the pandemic. The social movement such as the healthy lifestyle movement (GERMAS) plays an important role to break the chain of COVID-19 transmission. Meanwhile, the infodemic of false news has caused misinformation and disinformation. Raising the community’s health literacy will lead people to participate in the GERMAS social movement. This study aimed to explore the use of social media to improve health literacy concerning the healthy lifestyle social movement called “GERMAS”. This research was conducted in Yogyakarta by reviewing related documents and literature, and collecting primary data. Primary data collection was done through online surveys, focus group discussions, and an in-depth interview. There were 461 respondents, with 449 respondents who filled out online surveys, 11 people who participated in the focus group discussions, and 1 person who was interviewed. The study showed that WhatsApp was the most widely accessed source of information about COVID-19 (83%) and health protocols (82%) after television. In addition, WhatsApp has become the main source of information about GERMAS (73%). The credible source of information was very important to help the community during the COVID-19 pandemic and the ‘false news’ infodemic. Various stakeholders provided information related to the COVID-10 and how to prevent the spread of the virus. In addition, Yogyakarta health officers developed a communication network through WhatsApp groups from the provincial to sub-district/village levels (community leaders) that were used to share information on a regular basis to the public. Additionally, community leaders were able to ask health officers questions related to COVID-19 issues and prevention. Unfortunately, the lack of “think tanks”, and bureaucratic ties made this network unable to function optimally. In conclusion, social media has an important role in optimizing the GERMAS program during the COVID-19 pandemic. Social media management and good cooperation between the government and private agencies are important keys for optimizing GERMAS during the COVD-19 pandemic era.
Improved completing-treatment support among tuberculosis support group members through the CERMAT (Smart Against TB Transmission) program
Authors: Nursasi Atuti Yuni , Rohana I Gusti Ayu Putu Desy , Rachmawati Utami , Mulyana Rezky 
Published: December 2022

Tuberculosis (TB) was declared a global emergency for humanity by the World Health Organization in 2015. According to Global Report TB data in 2016, Indonesia is one of the 30 countries in the world that has the highest TB caseload, especially Human Immunodeficiency Virus (HIV)-TB and (Multi Drug Resistant Tuberculosis (MDR) TB) cases during the 2016-2020 period (Global Tuberculosis Report, 2016). The high rise of MDR TB cases has great potential for transmission and an increase in the number of new TB cases. Efforts to optimize the handling of care and treatment, as well as to accelerate the determination of the diagnosis need to be conducted vigilantly on all lines, especially efforts to increase the ability to prevent transmission, provide quality follow-up care, and community-based treatment. Forming support groups is one of community health nursing strategies for TB prevention. A support group provides assistance to increase TB medication adherence and reduce TB transmission. TB control strategies are conducted by implementing CERMAT (Smart Against TB Transmission) to TB support groups that combine education intervention and skills to prevent TB transmission in the community setting. Community health nursing though the nursing process has established a system with recognition of the variables that affect health status and individual behaviors against TB disease. The nursing strategy intervention in the community is done at all levels, such as health education, group process, partnership, and community empowerment. The CERMAT package implemented in the TB support group is an evidence-based nursing practice. It was applied to 70 samples of adult TB clients at Curug, Cimanggis, Depok. The sampling was selected with a non-probability quota sampling technique. This study used an experimental design with paired t-test data analysis to determine the improvement in the skills of the TB support group after the support group intervention was done. It showed there was influence of the CERMAT method on the level of good support for completing TB treatment in Curug Village, with increased the mean of completed treatment by 2.42 with a p value 0.00 (p <0.05). The CERMAT method can be applied as one of the nursing interventions to increase TB clients’ adherence. This intervention can be done by the person who is responsible for the TB program at the Community Health Center. The CERMAT method needs to be continued and evaluated regularly by involving health care volunteers.
WhatsApp-based complementary feeding education and counselling for adolescent mothers: A one-group pre-post study
Authors: Muthi'ah Tisa Salma , Ahmad Riris Andono , Purwaningrum Digna Niken 
Published: December 2022

More than two-thirds of deaths in children are related to improper feeding practices, especially in adolescent mothers, with very low levels of complementary feeding knowledge, less responsiveness, and few skills of proper feeding practices. The area of Banguntapan III Public Health Center (PHC) has the highest prevalence of adolescent mothers in 2018-2019. The aim of this study was to evaluate the effect of WhatsApp-based complementary feeding education and counseling for adolescent mothers who have children aged 6-24 months at Banguntapan III PHC on complementary feeding knowledge and practice. A quasi-experimental with one group pre-post test was conducted (n=10 adolescent mothers) on February-May 2021 at the Banguntapan III PHC area. The education program was conducted by trained cadres for 8 days through the WhatsApp group, then followed by asynchronous counseling once through WhatsApp private chat. Change of outcome was tested using independent sample T-test and McNemar test. The range of adolescent mothers’ age in this study was 19-20 years, with education level of junior high school (50%), and do not work (80%). The results showed that WhatsApp-based education and counselling had a significant effect on increasing the adolescent mother's IYCF knowledge (Δ = 1.1 ± 2.28) with a p-value of 0.017 < a (0.05). Meanwhile, the effect of the intervention on the IYCF practice by adolescent mothers was not significant, with a p-value of 0.311 > a (0.05). In conclusion, WhatsApp-based education and counselling for adolescent mothers can increase their level of complementary feeding knowledge, but was not been able to improve their feeding practices for infants/children aged 6-24 months.
The Effect of Nanoparticles of <i>Piper crocatum</i> Leaves Ethanolic Extract on Liver Insulin Receptor Expression of Diabetic Rat’s Induced by Streptozotocin
Authors: Pangestiningsih Tri Wahyu , Pramesti Citra Ayu , Nuraniyati Nusaibah , Sutrisno Bambang , Purnomo Agus 
Published: December 2022

Diabetes mellitus is a disease related to hyperglycemia and insulin resistance that can lead to the outcome of chronic liver diseases such as nonalcoholic fatty liver disease (NAFLD). Red betel leaves are known as traditional plants that have anti-hyperglycemic potential. This study aimed to investigate the effect of ethanolic extract of red betel leaves nanoparticle (RbL-Nps) on the liver and hepatic insulin receptor’s (INSR) expression in diabetic rats. Thirty rats were included in this study and further divided into five groups containing six rats each. Group I (GI) comprised of the normal rats; while group II (GII), III (GIII), IV (GIV) and V (GV) comprised of diabetic rats induced by streptozotocin (STZ) at dose of 45 mg/kg bw and nicotinamide (NA) at dose of 110 mg/kg bw, intraperitoneally. Group I and II were treated with 0,5% Na-CMC orally. Group III, IV and V were given the oral administration of RbL-Nps at the doses 30, 60, and 90 mg/kg bw diluted in 0,5% Na-CMC, respectively. All groups were treated once daily and subsequently euthanized after 28 days. Liver tissues were collected for immunohistochemistry method to see the INSR expression and haematoxylin-eosin (HE) staining. Result in this study revealed that INSR expression on the GI, GIII and GIV were significantly higher compared to that on the GII (p < 0.05). On the other hand, there were no significant differences on the INSR expression between GV and GII (p > 0.05). Histologically, liver tissues retrieved from GII showed severe vacuolic and necrotic hepatocytes with dilatated sinusoid. Mild vacuolic and necrotic hepatocytes were observed from GV. There were no pathological changes observed in the liver tissues retrieved from GI, GII, and GIV. We concluded that RbL-Nps improved the liver condition of diabetic rats at doses of 30 and 60 mg/kg bw, but not at doses of 90 mg/kg bw.
Potensi Sektor Pariwisata Terhadap Pendapatan Asli Daerah di Kabupaten Malang 2011-2020
Authors: Firmansyah Yusef , Nuraini Ida 
Published: December 2022

The purpose of this study was to determine whether there was an influence of the tourism sector during the covid 19 pandemic. This study used a quantitative descriptive method and the variables consisted of the number of tourists visiting the hotel and the number of restaurants and restaurants with local income in Malang Regency. The data used in this study were obtained from the Malang Regency BPS and the Directorate General of Financial Balance. The results of this study indicate that the number of tourists has a significant effect on the original income of the Malang Regency, the number of hotel visitors has a significant effect on the original income of the Malang Regency. The number of restaurants and restaurants has a significant effect on the Malang Regency's original income

Tujuan Penelitian ini bertujuan untuk mengetahui ada tidaknya pengaruh sektor pariwisata saat terjadinya pandemik covid-19, penelitian ini menggunakan metode deskriptif kuantitatif dan variabel yang terdiri dari jumlah wisatawan, pengunjung hotel, jumlah rumah makan dan restoran pendapatan asli daerah di Kabupaten Malang. Data yang digunakan dalam penelitian ini diperoleh dari BPS kabupaten Malang dan direktorat jendral perimbangan keuangan. Hasil dari penelitian ini menunjukkan bahwa jumlah wisatawan berpengaruh signifikan terhadap pendapatan asli daerah kabupaten Malang, jumlah pengunjung hotel berpengaruh signifikan terhadap pendapatan asli daerah kabupaten Malang, jumlah rumah makan dan restoran berpengaruh signifikan terhadap pendapatan asli daerah kabupaten Malang
Tectonic reactivation along the Florianopolis Fracture Zone, Brazil
Authors: Brandão Davy Raeder , Ferraz André , Ferrari André Luiz , Gamboa Luiz Antônio Pierantoni 
Published: December 2022

The Florianopolis Fracture Zone (FFZ), Brazil, delimits the Pelotas and Santos basins and marks a major change in the geology of the continental margins from south to north, along both sides of the South Atlantic Ocean. The continental prolongation of it is represented by Lower and Upper Cretaceous alkaline rocks, Paleocene hydrothermal manifestations and river catchments. Geological review along with total magnetic field reduced to the pole map (EMAG 2) were used to investigate and analyze the Florianopolis Fracture Zone. Our results indicate that the intra-continental NW-SE transfer zones control Upper Cretaceous sedimentation and Lower Cretaceous carbonatitic intrusions. The transition from continental crust to oceanic crust is achieved by the formation of normal faults and horse tail structures near the coastline verging to the FFZ at the already attenuated crust. Alkaline rocks, including carbonatitic ones, arose in the continental crust at the southwest projection of Luis Alves Craton and at the intersection between the transfer zones and the Brusque Metamorphic Complex. The integrated analyses indicated that the location of the FFZ was governed by the geological events in the continental crust. This oceanic/continental trend was later reactivated well past the South Atlantic opening.
Ohio Hopewell Depictions of Composite Creatures
Authors: Carr Christopher , McCord Robert 
Published: December 2022

Abstract
Archaeological contextual analyses of four artifacts that depicted composite creatures and that were recovered from the Turner earthwork in southwestern Ohio are integrated here with a biological identification of the creatures’ component animals and a survey of historic Woodland–Plains Indian knowledge about their roles in Woodland–Plains life (previously reported in this journal). Together, the three studies reveal that the creatures were likely employed in a ritual drama concerned with the welfare of recently deceased persons on their journey to an afterlife through underwater–underground realm(s), where they encountered the creatures. The location of the journey to an afterlife through Below realm(s) differs from that of nearly all historic Woodland–Plains Indians, who knew the journey to take place on the earth-disk or to occur by ascension. Implications of the ritual drama at Turner for some recent interpretive trends in Woodland archaeology are explored, including an overemphasis on “world renewal” as the primary motivation behind Ohio Hopewell ceremonialism, the scarce attention given to eschatological matters, and the misleading notion that all agentive behaviors, including mortuary rites, are political.