bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Literasi Keuangan Dan Literasi Digital Terhadap Preferensi Bank Digital
Authors: Tiffani Ignasia
Published: June 2023

The rapid development of technology, especially since the Covid-19 pandemic, is affecting the world, and one of them is the financial aspect. Banking is a growing sector that can drive economic growth; by continuing to adapt, banks are adopting digital technology to survive. Currently, the challenges of the digital world are increasing. Banks must not only compete with other banks but also must be able to compete with other financial technology companies. One way to adapt and survive in this era is with the emergence of digital banks. The public must also be educated about these digital banking services because financial and digital literacy must be understood first. This research aims to find out and confirm the relationship between financial literacy and digital literacy with consumer preference for digital banks. This type of research is descriptive research with a quantitative approach using primary data. The results obtained are: Financial literacy partially affects consumer preferences for digital banks; Digital literacy partially affects consumer preferences for digital banks; Financial literacy and digital literacy simultaneously affect consumer preferences for digital banks. This research aims to contribute to the development of digital banks in Indonesia.

 

Keywords: Bank, Digital Bank, Financial Literacy, Digital Literacy, Consumer Preference

 

 

Abstrak

Perkembangan teknologi yang begitu cepat terlebih pula semenjak pandemi covid 19 membawa dampak terhadap dunia, salah satunya kepada pada aspek keuangan. Perbankan merupakan sektor yang berkembang yang dapat mendorong pertumbuhan ekonomi, dengan terus beradaptasi bank mulai mengadopsi teknologi digital agar dapat bertahan. Saat ini tantangan dunia digital semakin meningkat, bank tidak hanya harus bersaing dengan bank lain, tetapi juga harus dapat bersaing dengan perusahaan financial technology lainnya. Salah satu cara untuk beradaptasi dan bertahan di era ini yaitu dengan munculnya bank digital. Masyarakat pun perlu diedukasi tentang layanan perbankan digital tersebut, karena literasi keuangan dan literasi digital harus dipahami terlebih dahulu. Tujuan penelitian ini agar mengetahui dan memastikan hubungan antara literasi keuangan dan literasi digital dengan preferensi konsumen terhadap bank digital. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kuantitatif dengan menggunakan data primer. Hasil yang diperoleh yaitu: Literasi keuangan secara parsial berpengaruh terhadap preferensi konsumen akan bank digital; Literasi digital secara parsial berpengaruh terhadap preferensi konsumen akan bank digital; Literasi keuangan dan literasi digital secara simultan berpengaruh terhadap preferensi konsumen akan bank digital. Penelitian ini bertujuan untuk berkontribusi dalam pengembangan bank digital di Indonesia.

 

Kata kunci: Bank, Bank Digital, Literasi Keuangan, Literasi Digital, Preferensi Konsumen
Pelatihan Bahasa Mandarin untuk Pariwisata (Mandarin for Tourism) pada Kelompok Sadar Wisata (Pokdarwis) Saka Tunggal di Desa Wisata Cikakak, Banyumas
Authors: Hariyadi Bagus Reza , Firmansyah Dian Bayu , Prasetyowati Henggar , Tazkiyah Destyanisa , Oktavilia Ernasiwi Astri
Published: June 2023

Tujuan kegiatan pengabdian ini yaitu untuk meningkatkan kualitas SDM para anggota Pokdarwis Saka Tunggal, di Desa Cikakak, terutama kaitannya dengan masih rendahnya jumlah pelaku wisata yang menguasai bahasa Asing, salah satunya bahasa Mandarin. Kegiatan yang dilakukan pada kegiatan pengabdian ini berupa kegiatan Pelatihan Bahasa Mandarin untuk Pariwisata (Mandarin For Tourism), yang merupakan suatu kegiatan kombinasi antara pelatihan bahasa asing (Mandarin) dan juga kepariwisataan. Metode pelaksanaan kegiatan pengabdian berupa pelatihan bahasa Mandarin, dilaksanakan dalam beberapa tahapan, agar seluruh materi dapat dikuasai dan digunakan dengan baik. Alasan dilaksanakanya kegiatan pengabdian ini yaitu karena lokasi desa Cikakak tidak begitu jauh dari lokasi Pabrik Semen Bima yang mendatangkan tenaga kerja dari Tiongkok, dan berpotensi untuk menarik wisatawan mancanegara terutama wisatawan dari Tiongkok. Dari hasil pelaksanaan kegiatan diketahui bahwa terdapat peningkatan kemampuan dan penguasan bahasa Mandarin yang terkait dengan pemanduan wisata. Hasil angket kuesioner dan hasil evaluasi kegiatan juga menunjukkan bahwa program kegiatan pengabdian yang dilaksanakan telah memenuhi kebutuhan dari mitra dan juga dirasakan manfaatnya oleh para pelaku wisata di Desa Cikakak. Secara umum, kebutuhan akan penguasaan bahasa asing oleh pemandu wisata di Desa Cikakak, Kabupaten Banyumas telah terpenuhi melalui kegiatan pengabdian ini.
Meningkatkan Regulasi Diri Untuk Kesiapan Kerja Pada Mahasiswa Tingkat Akhir
Authors: Ida Zura , Susilo Edi , Hermawati Dwi
Published: June 2023

Mahasiswa tingkat akhir harus mempersiapkan pengetahuan dan keterampilan yang sesuai dengan bidangnya ketika memasuki dunia kerja. Dalam memasuki dunia kerja diperlukan kesiapan kerja salah satunya adalah meningkatkan regulasi diri dimana mahasiswa tingkat akhir harus memiliki kemampuan dalam merencanakan dan mengarahkan perilaku untuk mencapai tujuan tertentu.Tujuan kegiatan ini untuk meningkatkan regulasi diri untuk kesiapan kerja pada mahasiswa tingkat akhir dengan metode ceramah dan pelatihan regulasi diri. Alat ukur yang digunakan adalah skala regulasi diri. Hasil dari kegiatan ini adanya peningkatan regulasi diri  untuk kesiapan  kerja pada mahasiswa tingkat akhir.
5th Hyphotesis Consideration of UTAUT for IOT By Exploiting ACO based Classification
Authors: Ariyanto Rudy , Lestari Vivin Ayu , Sukmana Septian Enggar
Published: June 2023

Internet of things (IoT) application needs to be evaluated to gain better improvement and innovation. The evaluation can be examined from user acceptance. The unifiedÂ theory of acceptance and use of technology (UTAUT) can be used as a model to identify user acceptance in using technology, including IoT application. However, the ease of use of technology must be included, so the determining of easy of use from negative aspects must be included, so the 5th hypothesis of UTAUT (hindering condition) must be included. Before this hypothesis is formulated and included in evaluation by the user, obtaining data to identify the real condition of the user is performed using forensic analysis and ACO based classification. To evaluate this activity, this 5th hypothesis is measured by reliability and validity test, also hypothesis testing itself.
Aspect Based Sentiment Analysis: A Systematic Literature Review
Authors: Suhariyanto Suhariyanto , Sarno Riyanarto , Fatihah Chastine , Faisal Edi
Published: June 2023

Aspect based sentiments can provide more detailed information about the sentiment (positive, negative, and neutral) based on an aspect in a review. It can provide better recommendations to users in decision making process. A number of previous studies have been conducted on aspect-based sentiment analysis indicating that survey is needed to provide an overview of the method available in aspect-based sentiment analysis. The survey method has been implemented since the last 5 years to obtain novelty from existing methods. The Systematic Literature Review (SLR) method is used to review a collection of 34 papers from various academic databases which focus on the aspect of extraction, sentiment analysis, and aspect aggregation. The papers will be sorted based on the focus of the method used. For each analysis, a detailed analysis is described on the contribution of the method to the aspect-based sentiment analysis alongside a comparison with other methods as well as advantages and disadvantages. The last section discusses the method commonly used in this study as well as future challenges in the study focusing on aspect-based sentiment analysis.
Sequential Model for Mapping Compound Emotions in Indonesian Sentences
Authors: Aripin - , Agastya Wisnu , Haryanto Hanny
Published: June 2023

This research proposes mapping Indonesian sentences with single and multiple structures into emotion classes based on a multi-label classification process. The result of this research can apply in various fields, including the development of facial expressions in virtual character animation. Applications in other fields are facial expression analysis, human-computer interaction systems, and other virtual facial character system applications. In previous research, the classification process used for emotion mapping was usually based only on the frequency of occurrence of adjectives. The resulting emotion classes are less representative of sentence semantics. In this research, the proposed sequential model can take into account the semantics of the sentence so that the results of the classification process are more natural and representative of the semantics of the sentence. The method used for the emotion mapping process is multi-label text classification with continuous values between 0-1. This research produces the tolerant-method that utilizes the error value to deliver accuracy in the model evaluation process. The tolerant-method converts the predicted-label, which has an error value less than or equal to the error-tolerant value, to the actual-label for better accuracy. The model used in the classification process is a sequential model, including one-dimensional Convolution Neural Networks (CNN) and bidirectional Long Short-Term Memory (LSTM). The CNN model generates feature maps of each input in a partial way. Meanwhile, bidirectional LSTM captures information from input data in two directions. Experiments were performed using test data on Indonesian sentences. Based on the experimental results, bidirectional LSTM can produce an accuracy of 91% in the 8: 2 data portion and error-tolerant of 0.09.Keywords : Sequential Model, Mapping Compound Emotions, Sentence Semantics, Indonesian Sentences
Particle Swarm Optimization For Improved Accuracy of Disease Diagnosis
Authors: Novichasari Suamanda Ika , Wibisono Iwan Setiawan
Published: June 2023

The increasing number of patients suffering from various diseases and the impact and high cost of medical treatment for the community has made the government or health communities seek solutions for prevention from an early age. This valuable information can be found using artificial intelligence and data mining. Most diseases are dangerous; if detected early and adequate diagnosis and treatment are available, there will be a chance for a cure. The main objective of this study was to use Particle Swarm Optimization (PSO) to improve the accuracy of several classification methods, namely Naive Bayes, C4.5, Support Vector Machine (SVM), and Neural Network (NN) to detect heart disease, hepatitis, kidney, and breast cancer. The method used in this research is the CRISP-DM model, with 5 stages. The data used were four disease data from UCI Machine Learning. The result of this research is that PSO can improve the accuracy of Naive Bayes, C4.5, SVM, and NN.
IMPLEMENTATION OF DIVIDE AND CONQUER IN THE HANOI TOWER GAME
Authors: Indriyono Bonifacius Vicky , Pratama Zudha
Published: June 2023

Artificial Intelligence (AI) is a technology in the field of computer science that simulates human intelligence into computers to solve various problems and jobs as well as humans do. Games / games are an implementation of the field of computer science which also embraces the concept of AI. In the midst of the rampant types of games available, the author chose the Hanoi Tower which is a mathematical game / puzzle that requires logic. Players are challenged to complete in a short time with a certain number of discs. The benefit of this game is that it can train how to think with certain patterns so as to improve the memory of players. To make it easier to solve it, the Divide and Conquer Algorithm can be used which can solve problems in the Tower of Hanoi game by breaking them down into sub-problems which will later be able to help speed up finding solutions. From the results of testing the application of the Divide and Conquer Algorithm in the hanoi tower game application by solving the disk arrangement problem. Players can finish the game in a large number of plates in a short time. Keywords – Artificial Intelligence, Divide and Conquer Algorithm, Games, Tower of Hanoi.
Classification of Student Aspiration Using Naïve Bayes Classifier
Authors: Rizqa Ifan , Sari Christy Atika , Doheir Mohamed
Published: June 2023

Students aspiration are various demands from the student that packed in creative idea to propose changing process of a thing. Mostly, aspiration delivered in complaints and expectation. Aspiration is used for evaluating the laxity and early detection in university quality system for the better. This activity took place in Dian Nuswantoro University, and Student Representative Council (SRC) is the unit to manage the students aspiration. Aspiration is obtained through predetermined mechanism such as manual questionnaire distribution and or using google form. The provided questionnaire requires student to fill the content according to the provided aspiration categories. However, the problem is sometimes the student choose the wrong category according to the content. Therefore it is needed to create an application that can classified the students aspiration automatically. Document text classification become the best way to determine the category based on the content of the students aspiration. Naïve bayes classifier method is used because it is capable to produce high accuracy. With 1000 data training document of each category, "facilities and infrastructure" (facilities), "lecturers" (attitudes, teaching methods, material delivered), "staffing and the academic system"(attitudes, ways of working, providing information), and "suggestions and feedback". This experiment achieved 90.20% accuracy. It can be said that this method is worth to implement in this research.
Sentiment Analysis on Indonesia Twitter Data Using Naïve Bayes and K-Means Method
Authors: Susanto Ajib , Maula Muhammad Atho’il , Mulyono Ibnu Utomo Wahyu , Sarker Md Kamruzzaman
Published: June 2023

This study focuses on the analysis of sentiments on Indonesian twitter data. Twitter data on Indonesian simultaneous pilkada used to get its sentiments using Naïve Bayes Classifier method as a method of classification and K-means method to get Label on the data train process. Combining the two methods is expected to get high accuracy results. The results obtained from the research shows a pretty good accuracy of 74.5%.
Design Of Gas Leak Detection Using Gas Sensor And Microcontroller Based On Android
Authors: Indriyono Bonifacius Vicky , Zahari Iqlima , Karmila Karmila , Alimudin Erna , Wijoyo Tomsen
Published: June 2023

Today the use of gas cylinders is increasingly widespread in society. Starting from simple stalls, street vendors and many households use these gas cylinders. The impact that occurs is an increase in orders to producers to produce gas cylinders. With the increase in orders, it causes less attention to the safety side of gas cylinders. One side of security that is not given enough attention is gas leaks. This study aims to implement Internet of Things (IOT) concept by designing a tool that can be used to detect leaks using the MQ-2 gas sensor and android. This tool serves to provide leak notifications in the form of an alarm. The alarm will turn on automatically when the sensor detects gas that emits an odor so that it can be anticipated immediately. The test results show that this detector can work properly and optimally in giving gas cylinder leak warnings.
The Implementation of Improved Advanced Encryption Standard and Least Significant Bit for Securing Messages in Images
Authors: Pujiono Imam Prayogo , Rachmawanto Eko Hari , Nugroho Dicky Anggriawan
Published: June 2023

Security and confidentiality are essential aspects needed in the process of exchanging messages. Maintaining the message's security and confidentiality can be done by encrypting the message with cryptographic techniques to protect the message. However, the encrypted message (ciphertext) usually raises suspicion from eavesdroppers so that they try to unravel the contents of the message or damage the contents of the message or prevent the message from reaching the intended recipient. To avoid eavesdroppers' suspicion of encrypted messages, after encryption, the ciphertext can then be inserted into an image using steganography techniques so that eavesdroppers do not know whether there is a secret message in an image. In this research, the authors use the Improved AES-128 (Advanced Encryption Standard) Algorithm to encrypt messages and LSB (Least Significant Bit) Algorithm to insert ciphertext into an image. Where the AES Algorithm Improvement is made by adding a sending and receiving applications ID to modify the Key Schedule process, with modifications to the Key Schedule process, messages can only be read on the original recipient's cellphone by entering the correct key. The results of this study show that eavesdroppers do not easily know the existence of the ciphertext, besides that even if the eavesdroppers get the ciphertext and know the encryption key, the message remains unreadable on their cellphone because the ID of the application sending or receiving the message has changed.
The Immigration of Tradition: A Qualitative Study on Gender Differentiation and Cultural Parenting in West African Immigrant Households
Authors: Fade Djemo
Published: June 2023

In recent years, there has been an influx of West African immigrants into the United States and European countries. By the end of the twentieth century, 1 million African immigrants were living in the United States, of which 50 percent arrived and settled between 1990 and 2000. By 2004, 35% of the total African immigrant population were West African immigrants. As more West Africans migrate away from their native lands, a new challenge arises in adapting to life within a different, less traditional environment—the Western society. This research focuses on the extent to which West African culture and tradition impact the way these immigrant families build their family structure and incorporate their cultural identities into these new environments. I examine the historical construction of gender-differentiated parenting in West African culture and how it has shaped familial, societal, and political structures over time. Through this historical framework, I then analyze the influence of traditional values in West African immigrant households and how they shape the continuation and discontinuation of certain West African practices in the new society. I also examine how these families carry aspects of their culture through their adaptation journey and their cultural parenting practices as a way to keep the West African identity from dying out and as a way to secure stability in Western society. From my research I have found that by leaving certain traditional values of their culture back home, such as certain marriage practices or gendered education, West African immigrants work to find a balance between their native culture and the cultural expectations of Western society. As Western society becomes more progressive and less accepting of traditional gender roles, as depicted in media and entertainment, being true to one's identity conflicts with the ability to "start new" in a foreign community in the face of different societal norms.
Vascular response to the microcirculation in the fingertip by local vibration with varied amplitude
Authors: Mu Lizhong , Sun Aoran , Chen Youqiang , Chen Huimin , Li Jianda , Linghu Bingqi , Zhou Hang , Chi Qingzhuo , Luan Xiaofeng , Pan Yue
Published: June 2023

Objectives: We investigated the effect of local vibration intensity on the vascular response to the microcirculation of the finger.

Materials and methods: We performed hand-transmitted vibration experiments combined with laser Doppler flowmetry (LDF) to measure the blood perfusion signals of fingertips in the vibrated hand and the contralateral middle finger under the same frequency and different amplitude vibration, and to analyze the changes of microcirculatory blood perfusion levels in the fingers, and to investigate the effects of vibration stimulation on the endothelial, neural and myogenic regulatory frequency ranges of fingertips based on wavelet analysis. Furthermore, the transparent silicone films were fabricated and cultured with vascular endothelial cell (EC), which will undergo the local vibration with varied amplitude. And the expression of inflammatory factors was detected in the ECs.

Results: Low-frequency vibration leads to a decreased blood flow in fingertip, and the degree of reduction in fingertip blood flow increases as the amplitude gradually increases, and the period required for blood flow to return to normal level after hand-transmitted vibration gradually increases. The decrease in blood flow is more pronounced in the vibrating hand than in the contralateral hand. In addition, nuclear factor-κB (NF-κB) expression increased significantly with the increase of vibration amplitude.

Conclusion: High amplitude vibrations caused the inflammatory reaction of ECs which will lead to the altered endothelial regulatory activity. The endothelial regulatory activity is closely related to the blood perfusion in the microcirculation.
Quantum-based modeling implies that bidentate Arg89-substrate binding enhances serine/threonine protein phosphatase-2A(PPP2R5D/PPP2R1A/PPP2CA)-mediated dephosphorylation
Authors: Salter E. Alan , Wierzbicki Andrzej , Honkanen Richard E. , Swingle Mark R.
Published: June 2023

PP2A-serine/threonine protein phosphatases function as heterotrimeric holoenzymes, composed of a common scaffold (A-subunit encoded by PPP2R1A/PPP2R1B), a common catalytic (C-subunit encoded by PPP2CA/PPP2CB), and one of many variable regulatory (B) subunits. The site of phosphoprotein phosphatase (PPP) hydrolysis features a bimetal system (M1/M2), an associated bridge hydroxide [W1(OH−)], and a highly-conserved core sequence. In the presumptive common mechanism, the phosphoprotein’s seryl/threonyl phosphate coordinates the M1/M2 system, W1(OH−) attacks the central P atom, rupturing the antipodal bond, and simultaneously, a histidine/aspartate tandem protonates the exiting seryl/threonyl alkoxide. Based on studies of PPP5C, a conserved arginine proximal to M1 is also expected to bind the substrate’s phosphate group in a bidentate fashion. However, in PP2A isozymes, the role of the arginine (Arg89) in hydrolysis is not clear because two independent structures for PP2A(PPP2R5C) and PP2A(PPP2R5D) show that Arg89 engages in a weak salt bridge at the B:C interface. These observations raise the question of whether hydrolysis proceeds with or without direct involvement of Arg89. The interaction of Arg89 with B:Glu198 in PP2A(PPP2R5D) is significant because the pathogenic E198K variant of B56δ is associated with irregular protein phosphorylation levels and consequent developmental disorders (Jordan’s Syndrome; OMIM #616355). In this study, we perform quantum-based hybrid [ONIOM(UB3LYP/6-31G(d):UPM7)] calculations on 39-residue models of the PP2A(PPP2R5D)/pSer (phosphoserine) system to estimate activation barriers for hydrolysis in the presence of bidentate Arg89-substrate binding and when Arg89 is otherwise engaged in the salt-bridge interaction. Our solvation-corrected results yield ΔH‡ ≈ ΔE‡ = +15.5 kcal/mol for the former case, versus +18.8 kcal/mol for the latter, indicating that bidentate Arg89-substrate binding is critical for optimal catalytic function of the enzyme. We speculate that PP2A(PPP2R5D) activity is suppressed by B:Glu198 sequestration of C:Arg89 under native conditions, whereas the PP2A(PPP2R5D)-holoenzyme containing the E198K variant has a positively-charged lysine in this position that alters normal function.
Iron-mediated oxidative stress induces PD-L1 expression via activation of c-Myc in lung adenocarcinoma
Authors: Battaglia Anna Martina , Sacco Alessandro , Aversa Ilenia , Santamaria Gianluca , Palmieri Camillo , Botta Cirino , De Stefano Roberto , Bitetto Maurizio , Petriaggi Lavinia , Giorgio Emanuele , Faniello Concetta Maria , Costanzo Francesco , Biamonte Flavia
Published: June 2023

Introduction: The PD-1/PD-L1 axis is hijacked by lung adenocarcinoma (LUAD) cells to escape immune surveillance. PD-L1 expression in LUAD is affected, among others, by the metabolic trafficking between tumor cells and the tumor microenvironment (TME).

Methods: Correlation between PD-L1 expression and iron content within the TME was established on FFPE LUAD tissue samples. The effects of an iron rich microenvironment on PD-L1 mRNA and protein levels were assessed in vitro in H460 and A549 LUAD by using qPCR, western blot and flow citometry. c-Myc knockdown was performed to validate the role of this transcription factor on PD-L1 expression. The effects of iron-induced PD-L1 on T cell immune function was assessed by quantifying IFN-γ release in a co-colture system. TCGA dataset was used to analyse the correlation between PD-L1 and CD71 mRNA expression in LUAD patients.

Results: In this study, we highlight a significant correlation between iron density within the TME and PD-L1 expression in 16 LUAD tissue specimens. In agreement, we show that a more pronounced innate iron-addicted phenotype, indicated by a higher transferrin receptor CD71 levels, significantly correlates with higher PD-L1 mRNA expression levels in LUAD dataset obtained from TCGA database. In vitro, we demonstrate that the addition of Fe3+ within the culture media promotes the significant overexpression of PD-L1 in A549 and H460 LUAD cells, through the modulation of its gene transcription mediated by c-Myc. The effects of iron lean on its redox activity since PD-L1 up-regulation is counteracted by treatment with the antioxidant compound trolox. When LUAD cells are co-cultured with CD3/CD28-stimulated T cells in an iron-rich culture condition, PD-L1 up-regulation causes the inhibition of T-lymphocytes activity, as demonstrated by the significant reduction of IFN-γ release.

Discussion: Overall, in this study we demonstrate that iron abundance within the TME may enhance PD-L1 expression in LUAD and, thus, open the way for the identification of possible combinatorial strategies that take into account the iron levels within the TME to improve the outcomes of LUAD patients treated with anti-PD-1/PD-L1-based therapies.
Forthcoming hyperfluorescence display technology: relevant factors to achieve high-performance stable organic light emitting diodes
Authors: Gawale Yogesh , Ansari Rasheeda , Naveen Kenkera Rayappa , Kwon Jang Hyuk
Published: June 2023

Over the decade, there have been developments in purely organic thermally activated delayed fluorescent (TADF) materials for organic light-emitting diodes (OLEDs). However, achieving narrow full width at half maximum (FWHM) and high external quantum efficiency (EQE) is crucial for real display industries. To overcome these hurdles, hyperfluorescence (HF) technology was proposed for next-generation OLEDs. In this technology, the TADF material was considered a sensitizing host, the so-called TADF sensitized host (TSH), for use of triplet excitons via the reverse intersystem crossing (RISC) pathway. Since most of the TADF materials show bipolar characteristics, electrically generated singlet and triplet exciton energies can be transported to the final fluorescent emitter (FE) through Förster resonance energy transfer (FRET) rather than Dexter energy transfer (DET). This mechanism is possible from the S1 state of the TSH to the S1 state of the final fluorescent dopant (FD) as a long-range energy transfer. Considering this, some reports are available based on hyperfluorescence OLEDs, but the detailed analysis for highly efficient and stable devices for commercialization was unclear. So herein, we reviewed the relevant factors based on recent advancements to build a highly efficient and stable hyperfluorescence system. The factors include an energy transfer mechanism based on spectral overlapping, TSH requirements, electroluminescence study based on exciplex and polarity system, shielding effect, DET suppression, and FD orientation. Furthermore, the outlook and future positives with new directions were discussed to build high-performance OLEDs.
Risk factors for colonization with multidrug-resistant Gram-negative bacteria and Clostridioides difficile in Long Term Care Facilities (LTCFs) residents: the evidence from 27 facilities in a high endemic setting
Authors: Azzini Anna Maria , Be Giorgia , Naso Laura , Lambertenghi Lorenza , Salerno Nicola Duccio , Coledan Ilaria , Bazaj Alda , Mirandola Massimo , Miotti Jessica , Mazzaferri Fulvia , Accordini Simone , Lo Cascio Giuliana , Tacconelli Evelina
Published: June 2023

Introduction

Residency in LTCFs increases the likelihood of colonization with multidrug resistant Gram-negative bacteria (MDR-GNB). We assessed the prevalence and risk factors for enteric colonization by III-generation cephalosporins-resistant and carbapenem-resistant (CR) GNB in a large group of LTCFs in a high endemic setting. We also assessed the prevalence and risk factors for C. difficile colonization.

Methods

A point prevalence survey with rectal screening (RS) was conducted in 27 LTCFs in north Italy. Epidemiological and clinical variables on the survey day, history of hospitalization and surgery within one year, and antibiotics within three months, were collected. The presence of III-generation cephalosporin resistant and CR GNB was assessed using a selective culture on chromogenic medium and PCR for carbapenemase detection. The presence of C. difficile was assessed using ELISA for GDH and RT-PCR to identify toxigenic strains. Multi-variable analyses were performed using two-level logistic regression models.

Results

In the study period 1947 RSs were performed. The prevalence of colonization by at least one GNB resistant to III-generation cephalosporin was 51% (E. coli 65%, K. pneumoniae 14% of isolates). The prevalence of colonization by CR GNB was 6%. 6% of all isolates (1150 strains) resulted in a carbapenem-resistant K. pneumoniae, and 3% in a carbapenem-resistant E. coli. KPC was the most frequent carbapenemase (73%) identified by PCR, followed by VIM (23%). The prevalence of colonization by C. difficile was 11.7%. The presence of a medical device (OR 2.67) and previous antibiotic use (OR 1.48) were significantly associated with III-generation cephalosporin resistant GNB colonization. The presence of a medical device (OR 2.67) and previous hospitalization (OR 1.80) were significantly associated with CR GNB. The presence of a medical device (OR 2.30) was significantly associated with C. difficile colonization. Main previously used antibiotic classes were fluoroquinolones (32% of previously treated subjects), III-generation cephalosporins (21%), and penicillins (19%).

Conclusion

Antimicrobial stewardship in LTCFs is a critical issue, being previous antibiotic treatment a risk factor for colonization by MDR-GNB. The prevalence of colonization by III-generation cephalosporin and CR GNB among LTCF residents also underlines the importance to adhere to hand hygiene indications, infection prevention and control measures, and environmental hygiene protocols, more achievable than rigorous contact precautions in this type of social setting.
Enlargement of the knowledge of Cortinarius section Anomali (Agaricales, Basidiomycota): introducing three new species from China
Authors: Zhang Qiu-Yue , Jin Can , Zhou Hong-Min , Ma Zi-Yan , Zhang Yi-Zhe , Liang Jia-Qi , Si Jing , Li Hai-Jiao
Published: June 2023

Cortinarius is a globally distributed agaricoid genus that has been well studied in Europe and America with over 1,000 described species. However, as part of an ongoing effort to investigate the diversity of Cortinarius section Anomali in China, the resource investigation and classification research are still limited, and the species diversity has not been clarified by far. During the re-examination of the Chinese Cortinarius specimens, C. cinnamomeolilacinus, C. subclackamasensis, and C. tropicus, belonging to the sect. Anomali, were described in China as new to science based on morphological examination and phylogenetic analysis. The three new species are described and illustrated in detail according to the Chinese materials. The phylogenetic analysis based on internal transcribed spacer sequences confirmed the placement of the three species in the Cortinarius sect. Anomali clade. Phylogenetically related and morphologically similar species to these three new species are discussed.
Case report: Stenosis turned leak … and turned stenosis—complications of paravalvular prosthetic leak closure with a plug device
Authors: Pitta Gros Barbara , Roux Olivier , Eeckhout Eric , Kirsch Matthias
Published: June 2023

Background

Paravalvular leak is one of the most common complications and is among the most important prognostic factors of short- and long-term mortality after transcatheter aortic valve implantation (TAVI). Percutaneous valvular leak repair constitutes a first-line treatment for paravalvular leaks and is associated with high success rates and few serious complications nowadays. To the best of our knowledge, this is the first case where placement of the device through the stenting of the bioprosthesis resulted in creating a new symptomatic stenosis that required surgery.

Case summary

We present a case of a patient with low-flow, low-gradient aortic stenosis treated with transfemoral implantation of a biological aortic prosthesis. One month after the procedure, the patient presented with acute pulmonary oedema and a paravalvular leak was discovered, which was corrected by percutaneous repair with a plug device. Five weeks after the valvular leak repair, the patient was readmitted for heart failure. At this time, a new aortic stenosis and paravalvular leak were diagnosed and the patient was referred for surgery. The new aortic mixed diseased was caused by the positioning of the plug device through the valve's metal stenting, which resulted in a paravalvular leak and pressed against the valve's leaflets, causing valvular stenosis. The patient was referred for surgical replacement and evolved well afterward.

Conclusion

This case illustrates a rare complication of a complex procedure, and it highlights the need for multidisciplinary decisions and good cooperation between the cardiology and cardiac surgery teams to develop better criteria in the selection of the appropriate technique for managing paravalvular leaks after TAVI.
The role of fibrosis, inflammation, and congestion biomarkers for outcome prediction in candidates to cardiac resynchronization therapy: is “response” the right answer?
Authors: Beltrami Matteo , Galluzzo Alessandro , Brocci Riccardo Tappa , Paoletti Perini Alessandro , Pieragnoli Paolo , Garofalo Manuel , Halasz Geza , Milli Massimo , Barilli Maria , Palazzuoli Alberto
Published: June 2023

Background

Cardiac resynchronization therapy (CRT) is an established treatment in selected patients suffering from heart failure with reduced ejection fraction (HFrEF). It has been proposed that myocardial fibrosis and inflammation could influence CRT “response” and outcome. Our study investigated the long-term prognostic significance of cardiac biomarkers in HFrEF patients with an indication for CRT.

Methods

Consecutive patients referred for CRT implantation were retrospectively evaluated. The soluble suppression of tumorigenicity 2 (sST2), galectin-3 (Gal-3), N-terminal portion of the B-type natriuretic peptide (NT-proBNP), and estimated glomerular filtration rate (eGFR) were measured at baseline and after 1 year of follow-up. Multivariate analyses were performed to evaluate their correlation with the primary composite outcome of cardiovascular mortality and heart failure hospitalizations at a mean follow-up of 9 ± 2 years.

Results

Among the 86 patients enrolled, 44% experienced the primary outcome. In this group, the mean baseline values of NT-proBNP, Gal-3, and sST2 were significantly higher compared with the patients without cardiovascular events. At the multivariate analyses, baseline Gal-3 [cut-off: 16.6 ng/ml, AUC: 0.91, p < 0.001, HR 8.33 (1.88–33.33), p = 0.005] and sST2 [cut-off: 35.6 ng/ml AUC: 0.91, p < 0.001, HR 333 (250–1,000), p = 0.003] significantly correlated with the composite outcome in the prediction models with high likelihood. Among the parameters evaluated at 1-year follow-up, sST2, eGFR, and the variation from baseline to 1-year of Gal-3 levels showed a strong association with the primary outcome [HR 1.15 (1.08–1.22), p < 0.001; HR: 0.84 (0.74–0.91), p = 0.04; HR: 1.26 (1.10–1.43), p ≤ 0.001, respectively]. Conversely, the echocardiographic definition of CRT response did not correlate with any outcome.

Conclusion

In HFrEF patients with CRT, sST2, Gal-3, and renal function were associated with the combined endpoint of cardiovascular death and HF hospitalizations at long-term follow-up, while the echocardiographic CRT response did not seem to influence the outcome of the patients.
Proteomics and Lipidomics to unveil the contribution of PCSK9 beyond cholesterol lowering: a narrative review
Authors: Gianazza Erica , Macchi Chiara , Banfi Cristina , Ruscica Massimiliano
Published: June 2023

Proprotein convertase subtilisin/kexin type 9 (PCSK9), one of the key regulators of the low-density lipoprotein receptor (LDLR), can play a direct role in atheroma development. Although advances in the understandings of genetic PCSK9 polymorphisms have enabled to reveal the role of PCSK9 in the complex pathophysiology of cardiovascular diseases (CVDs), increasing lines of evidence support non-cholesterol-related processes mediated by PCSK9. Owing to major improvements in mass spectrometry-based technologies, multimarker proteomic and lipidomic panels hold the promise to identify novel lipids and proteins potentially related to PCSK9. Within this context, this narrative review aims to provide an overview of the most significant proteomics and lipidomics studies related to PCSK9 effects beyond cholesterol lowering. These approaches have enabled to unveil non-common targets of PCSK9, potentially leading to the development of novel statistical models for CVD risk prediction. Finally, in the era of precision medicine, we have reported the impact of PCSK9 on extracellular vesicles (EVs) composition, an effect that could contribute to an increased prothrombotic status in CVD patients. The possibility to modulate EVs release and cargo could help counteract the development and progression of the atherosclerotic process.
A three-dimensional microseismic downhole noise suppression based on polarization filtering method in Shearlet transform
Authors: Han Li , Wang Dongyan , Yu Pengjun
Published: June 2023

Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by strong interference, making data processing and interpretation difficult. The need for high-frequency effective signal reservation presents a basic problem in the design of noise suppression methods. The effective signals represent as the continuous reflection event and have more concentrated features in the transform domain, which can be used to tell the signal from the irregular microseismic noise. However, the high-frequency signal and extremely complex noise bring difficulty in accurately separating them by a single threshold. In this study, we propose a novel denoising method called Shearlet-polarization filtering to effectively suppress the microseismic noise. In general, Shearlet-polarization filtering is the combination of polarization filtering and conventional Shearlet transform. Specifically, the Shearlet transform can decompose the microseismic data into multi-directional and multi-scale information, providing a solid foundation for the separation of effective signals and background noise. From this basis, polarization filtering achieves signal reservation and noise attenuation by making full use of the three-dimensional information. To evaluate the performance, we also compare the proposed method with conventional Shearlet threshold filtering and polarization filtering. Experimental results both in synthetic and field data processing indicate that the Shearlet-polarization filtering is superior to the competing methods because it can significantly improve the continuity and smoothness of the microseismic events, even in low SNR conditions.
Cluster analysis of carboniferous gas reservoirs and application of recovery prediction model
Authors: Zhang Kai , Peng Xian , Chen Yingli , Yan Yuhan , Mei Qingyan , Chen Yu , Zhang Dongming
Published: June 2023

Since the discovery of the Carboniferous gas reservoirs in East Sichuan in 1977, after more than 40 years of development, most of the gas reservoirs have entered the middle and late stages of development. The gas reservoir is characterized by strong heterogeneity, large difference in permeability, and serious impact of water invasion in some blocks. Therefore, how to make a correct decision on gas field development and deployment is of vital importance. Combined with system clustering, BP neural network, correlation analysis and other methods, this paper first analyzes and calculates the static indicators of the Carboniferous gas reservoirs, and then divides the gas reservoirs into four categories using ward clustering method according to the calculated weight value, and determines the characteristics of each type of gas reservoirs using correlation coefficient analysis method. Finally, the recovery prediction model of each type of gas reservoir is established according to the BP neural network. The results indicate that: (1) The recovery rate prediction model can predict the trend of cumulative gas production changes, thereby obtaining the space for improving recovery rate, and the accuracy of the prediction results is high, which can be used as a reference for gas field planning. (2) The sub-active gas reservoirs with strong heterogeneous water bodies and the inactive gas reservoirs with low permeability water bodies have a certain space for enhanced oil recovery.
Destabilized 3’UTR elements therapeutically degrade ERBB2 mRNA in drug-resistant ERBB2+ cancer models
Authors: Awah Chidiebere U. , Glemaud Yana , Levine Fayola , Yang Kiseok , Ansary Afrin , Dong Fu , Ash Leonard , Zhang Junfei , Ogunwobi Olorunseun O.
Published: June 2023

Breast, lung, and colorectal cancer resistance to molecular targeted therapy is a major challenge that unfavorably impacts clinical outcomes leading to hundreds of thousands of deaths annually. In ERBB2+ cancers regardless of the tissue of origin, many ERBB2+ cancers are resistant to ERBB2-targeted therapy. We discovered that ERBB2+ cancer cells are enriched with poly U sequences on their 3’UTR which are mRNA-stabilizing sequences. We developed a novel technology, in which we engineered these ERBB2 mRNA-stabilizing sequences to unstable forms that successfully overwrote and outcompeted the endogenous ERBB2 mRNA-encoded message and degraded ERBB2 transcripts which led to the loss of the protein across multiple cancer cell types both in the wildtype and drug-resistance settings in vitro and in vivo, offering a unique safe novel modality to control ERBB2 mRNA and other pervasive oncogenic signals where current targeted therapies fail.
A new gene-scoring method for uncovering novel glaucoma-related genes using non-negative matrix factorization based on RNA-seq data
Authors: Huang Xiaoqin , Bajpai Akhilesh K. , Sun Jian , Xu Fuyi , Lu Lu , Yousefi Siamak
Published: June 2023

Early diagnosis and treatment of glaucoma are challenging. The discovery of glaucoma biomarkers based on gene expression data could potentially provide new insights for early diagnosis, monitoring, and treatment options of glaucoma. Non-negative Matrix Factorization (NMF) has been widely used in numerous transcriptome data analyses in order to identify subtypes and biomarkers of different diseases; however, its application in glaucoma biomarker discovery has not been previously reported. Our study applied NMF to extract latent representations of RNA-seq data from BXD mouse strains and sorted the genes based on a novel gene scoring method. The enrichment ratio of the glaucoma-reference genes, extracted from multiple relevant resources, was compared using both the classical differentially expressed gene (DEG) analysis and NMF methods. The complete pipeline was validated using an independent RNA-seq dataset. Findings showed our NMF method significantly improved the enrichment detection of glaucoma genes. The application of NMF with the scoring method showed great promise in the identification of marker genes for glaucoma.
Hypoxia-altered cholesterol homeostasis enhances the expression of interferon-stimulated genes upon SARS-CoV-2 infections in monocytes
Authors: Bauer Rebekka , Meyer Sofie Patrizia , Raue Rebecca , Palmer Megan A. , Guerrero Ruiz Vanesa Maria , Cardamone Giulia , Rösser Silvia , Heffels Milou , Roesmann Fabian , Wilhelm Alexander , Lütjohann Dieter , Zarnack Kathi , Fuhrmann Dominik Christian , Widera Marek , Schmid Tobias , Brüne Bernhard
Published: June 2023

Hypoxia contributes to numerous pathophysiological conditions including inflammation-associated diseases. We characterized the impact of hypoxia on the immunometabolic cross-talk between cholesterol and interferon (IFN) responses. Specifically, hypoxia reduced cholesterol biosynthesis flux and provoked a compensatory activation of sterol regulatory element-binding protein 2 (SREBP2) in monocytes. Concomitantly, a broad range of interferon-stimulated genes (ISGs) increased under hypoxia in the absence of an inflammatory stimulus. While changes in cholesterol biosynthesis intermediates and SREBP2 activity did not contribute to hypoxic ISG induction, intracellular cholesterol distribution appeared critical to enhance hypoxic expression of chemokine ISGs. Importantly, hypoxia further boosted chemokine ISG expression in monocytes upon infection with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2). Mechanistically, hypoxia sensitized toll-like receptor 4 (TLR4) signaling to activation by SARS-CoV-2 spike protein, which emerged as a major signaling hub to enhance chemokine ISG induction following SARS-CoV-2 infection of hypoxic monocytes. These data depict a hypoxia-regulated immunometabolic mechanism with implications for the development of systemic inflammatory responses in severe cases of coronavirus disease-2019 (COVID-19).