bluuebunny/crossref_metadata_2025 huggingface dataset:
Post-translational Modifications by Acyl Groups Regulate FEN1’s
Activities and Play Essential Roles in Cell Proliferation and DNA Repair
Authors: Xiao Yue , Yin Mingyu , Wang Yiyi , Shi Rongyi , Mao Shuyu , Hua Yuejin , Xu Hong
Published: May 2023

Background:

Flap endonuclease 1 (FEN1), well known for its structural-specific nuclease,
possessing 5'-flap endonuclease and 5'-3' exonuclease activities, is mainly involved in DNA
replication and repair. Protein lysine acetylation is an important posttranslational modification that
could regulate numerous proteins’ activity, subcellular localization, protein-protein interaction etc.,
and influences many biological processes. Our previous studies on integrated succinylome profiles
found that succinylation and acetylation levels of FEN1 would change under different conditions.
Succinylation at FEN1 Lys200 site results in the accumulation of damaged DNA and increased
susceptibility to fork-stalling agents. The interplay with other forms of modification could affects its
protein interaction affinity and thus contribute to genome stability.

Objective:

This article studied the biological role of FEN1 by acyl modification in HeLa cells.

Method:

In order to explore the function of FEN1 acylation in cells, we mimicked the presence or
absence of acetylation or succinylation by mutating key amino acids to glutamic acid and glutamine.
We carried out a series of experiments including cell cycle, MTS, enzyme kinetics measurements,
immunofluorescence and so on.

Results:

The absence of acylation of FEN1 leads to the blocked cell cycle process and the reduced
efficiency of FEN1 on its DNA substrates, affecting the interaction of FEN1 with both repair and
replication related proteins and thus its role in the repair of DNA damage.

Conclusion:

We have verified acyl groups could modify Lys125, Lys252 and Lys254 of FEN1.
Acylation level of these three is important for enzyme activity, cell proliferation and DNA damage
response, thus contributing to genome stability.
Biomimetic Nanovaccines: A Novel Approach in Immunization
Authors: Khojini Javad Yaghmoorian , Babaei Benjamin , Shakarami Maryam , Mofidi Mahdis , Tahershamsi Zahra , Arjmand Tahura Fayeghi , Tajbakhsh Amir , Gheibihayat Seyed Mohammad
Published: May 2023

As the World Health Organization (WHO) declared, vaccines prevent an average of 2-3 million
deaths yearly from diseases. However, effective prophylactic and therapeutic vaccines have yet to be developed
for eradicating the deadliest diseases, viz., types of cancer, malaria, human immunodeficiency virus (HIV), and
most serious microbial infections. Furthermore, scores of the existing vaccines have disadvantages, such as failure
to completely stimulate the immune system, in vivo instability, high toxicity, need for the cold chain, and
multiple administrations. Thus, good vaccine candidates need to be designed to elicit adaptive immune responses.
In this line, the integration of sciences along with the use of various technologies has led to the emergence
of a new field in vaccine production called biomimetic nanovaccines (BNVs). Given that, nanotechnology can
significantly contribute to the design of such vaccines, providing them with enhanced specificity and potency.
Nanoparticles (NPs) and biomimetic NPs (BNPs) are now exploited as the main carriers for drug delivery systems,
especially BNPs, whose biological mimicry makes them escape the immune system and transport drugs
to the desired target. The drug accordingly seeks to camouflage itself with the help of NPs and the membranes
taken from cells in the human body, including red blood cells (RBCs), white blood cells (WBCs), platelets, and
cancer cells, for more effective and ideal delivery. As BNPs have recently become the center of attention in
vaccine design, this review deliberates on the advances in BNVs.
Synthesis, Docking Study of Some Novel Chromeno[4',3'-b]Pyrano
[6,5-d]Pyrimidine Derivatives Against COVID-19 Main Protease (Mpro)
(6LU7, 6M03)
Authors: Motamedi Radineh , Soufian Safieh , Ghalhar Zahra Rostami , Jalali Mahdiyeh , Rahimi Hooman
Published: May 2023

Aims:

In this work, some new chromeno[4',3'-b]pyrano[6,5-d]pyrimidines,3-amino and 3-methyl-5-aryl-4-imino-5(H)-chromeno[4',3'-b]pyrano[6,5-d]pyrimidine-6-ones derivatives were synthesized.

Background:

Chromenopyrimidines have attracted significant attention recently because of their activities, such as antiviral and cytotoxic activity.

Objective:

All synthesized compounds were characterized using IR, 1H-NMR, Mass Spectroscopy, and elemental analysis data.

Method:

Molecular docking studies were carried out to determine the inhibitory action of studied ligands against the Main Protease (6LU7, 6m03) of coronavirus (COVID-19). Moreover, the Lipinski Rule parameters were calculated for the synthesized compounds.

Result:

The result of the docking studies showed a significant inhibitory action against the Main protease (Mpro) of SARS-CoV-2, and the binding energy (ΔG) values of the ligands against the protein (6LU7, 6M03) are -7.8 to -9.9 Kcal/mole.

Conclusion:

It may conclude that some ligands were likely to be considered lead-like against the main protease of SARS-CoV-2.
Antitumor Mechanisms of Molecules Secreted by Trypanosoma cruzi in Colon and
Breast Cancer: A Review
Authors: Sadr Soheil , Ghiassi Shakila , Lotfalizadeh Narges , Simab Pouria Ahmadi , Hajjafari Ashkan , Borji Hassan
Published: May 2023

Background:

Molecules secreted by Trypanosoma cruzi (T. cruzi) have beneficial effects on the immune
system and can fight against cancer by inhibiting the growth of tumor cells, preventing angiogenesis, and promoting
immune activation.

Objective:

This study aimed to investigate the effects of molecules secreted by Trypanosoma cruzi on the growth of
colon and breast cancer cells, to understand the underlying mechanisms of action.

Results:

Calreticulin from T. cruzi, a 45 kDa protein, participates in essential changes in the tumor microenvironment
by triggering an adaptive immune response, exerting an antiangiogenic effect, and inhibiting cell growth. On the other
hand, a 21 kDa protein (P21) secreted at all stages of the parasite's life cycle can inhibit cell invasion and migration.
Mucins, such as Tn, sialyl-Tn, and TF, are present both in tumor cells and on the surface of T. cruzi and are characterized
as common antigenic determinants, inducing a cross-immune response. In addition, molecules secreted by the
parasite are used recombinantly in immunotherapy against cancer for their ability to generate a reliable and long-lasting
immune response.

Conclusion:

By elucidating the antitumor mechanisms of the molecules secreted by T. cruzi, this study provides valuable
insights for developing novel therapeutic strategies to combat colon and breast cancer.
Sifat Tanah Andisol dan Kelayakan Usahatani Kentang dengan Pengolahan Tanah Menggunakan Traktor dan Pupuk Organik di Kabupaten Kerinci
Authors:   Universitas Jambi, H Henny , Nasution Hasriati ,   Universitas Jambi, Ridwan M ,   Universitas Jambi
Published: May 2023

Pengolahan tanah dengan dua lintasan traktor dan pupuk kandang 5 dan 10 ton per hektar memberikan produktivitas kentang masing-masing 42.93 kg/12 m2 (35.78 ton/ha) dan 50.99 kg/12 m2 (42.99 ton/ha) dengan sifat tanah relatif sama. Penelitian bertujuan untuk menguji hasil percobaan petak kecil tersebut (12 m2) dengan metode demplot, dua demplot masing-masing seluas 800 m2 pada tanah andisol yang landai (kemiringan lereng 6%, pupuk kandang 5 ton/ha) dan berbukit (kemiringan lereng 19%, pupuk kandang 10 ton/ha) di Desa Kebun Baru, Kecamatan Kayu Aro, Kabupaten Kerinci. Hasil penelitian menunjukkan bahwa C-organik, pH, N-total, K-tersedia dan serangan patogen relatif sama antar demplot; sedangkan BV lebih rendah, laju dan kapasitas infiltrasi (6.9 cm/jam dan 4.81 cm/jam), P-tersedia (26.33 ppm), produktivitas kentang (30.09 ton/ha), BCR (1.87) dan RCR (2.87) lebih tinggi pada demplot yang landai, dibandingkan dengan laju dan kapasitas infiltrasi (5.37 cm/jam dan 2.91 cm/jam), P-tersedia (23.4 ppm), produktivitas kentang (27.68 ton/ha), BCR (1.48) dan RCR (2.48) pada demplot berbukit; usahatani kentang lebih efisien dan lebih menguntungkan pada lahan yang landai dibandingkan dengan di lahan berbukit.
Inventorying authentic teaching materials on Youtube for listening learning plan of Pupuh in elementary school
Authors: Haerudin Dingding , Hermawan Budi , Ruhaliah R. , Wibawa Sutrisna , Awaliah Yatun Romdonah , Hardini Tri Indri
Published: May 2023

Our initial observation confirms that authentic teaching materials have not been integrated into teaching Sundanese. With this in mind, the present study aims mainly to describe authentic teaching materials for teaching Sundanese to elementary school students. A descriptive-analytical method with a qualitative approach has been employed as the method in the present research. Data were collected by inventorying authentic teaching materials from YouTube and identifying their relevance to the 2013 Curriculum (Revised edition in 2017). The data obtained is expected to be used as authentic material in the Independent Curriculum. At the time this research was conducted, the Merdeka Curriculum had already begun to be implemented in several driving schools in West Java. The authentic materials we investigated will most likely be compatible to be used as material for project-based learning on Kurikulum Merdeka. The present research has inventoried 17 types of pupuh and found that of 17 pupuh, four have content that is relevant to the teaching theme for elementary school students based on the Curriculum; 3 pupuh, Dangdanggula, Asmarandana, and Gurisa, have content relevant to the theme of second grade Basic Competence, 1 pupuh, Maskumambang pupuh, has content relevant to the theme of third grade Basic Competence. The data were then assessed for their quality based on the criteria for good teaching materials according to the judgment of experts. Selected Sundanese language teachers have been involved in the research to serve as the experts. The results of the quality test reported that the inventoried pupuh is relevant to the Basic Competence as stated in the Curriculum, can motivate students to learn, is practical to use, is useful for students, is interesting to learn, facilitate students to learn, and improves their listening skills and is following the norms prevailing in society.
REPRESENTASI KESENJANGAN SOSIAL DALAM NOVEL KAMI (BUKAN) SARJANA KERTAS KARYA J.S. KHAIREN
Authors: Hafiizh A. Abdul
Published: May 2023

Penelitian ini didasari oleh pandangan bahwa pada dasarnya sastra merupakan proses cerminan dari realitas yang ada dalam tatanan masyarakat. Hubungan antara sastra dengan masyarakat akan selalu berdekatan, dan saling berhubungan satu sama lain. Tujuan penelitian ini dibuat yang pertama adalah untuk memenuhi tugas sebagai mahasiswa dan yang kedua adalah mengetahui kesenjangan sosial apa saja yang terdapat dalam novel Kami (Bukan) Sarjana Kertas karya J.S. Khairen. Jenis metode penelitian ini adalah metode penelitian kualitatif. Menurut Koentjaraningrat (1993: 89) penelitian kualitatif adalah desain penelitian yang memiliki tiga format. Ketiga format tersebut adalah penelitian deskriptif, verifikasi, dan format grounded research. Hasil yang penulis dapat adalah ternyata dalam novel Kami (Bukan) Sarjana Kertas terdapat beberapa kesenjangan sosial yang ada, seperti kesenjangan sosial ekonomi (kemiskinan), pendidikan, lingkungan, lapangan pekerjaan, serta status sosial. Kesenjangan sosial tersebut sangat mencerminkan apa yang ada dalam kenyataan bahwa sebagian besar masyarakat masih mengalami hal-hal seperti di atas. Terdapat banyak perbedaan di antara sekitar yang akhirnya menimbulkan kesenjangan sosial.
Особенности плоскостной магнитной анизотропии и доменной структуры пленок FeNi, осажденных в присутствии магнитного поля различной конфигурации
Authors: Свалов А.В. , Иванов В.Е. , Андреев C.В. , Лепаловский В.Н. , Фещенко А.А. , Кудюков Е.В. , Макарочкин И.А. , Курляндская Г.В.
Published: May 2023

FeNi films in circular shape with 3 mm in diameter obtained by magnetron sputtering in the presence of a constant magnetic field of various configurations are studied. The presence of a field created by a permanent magnet with a diameter of 1.2 mm, the magnetization of which is oriented perpendicular to the plane of the substrate, leads to the formation of a vortex-like magnetic structure in the film, characterized by diffuse domain walls.
Простая спин-переориентационная модель редкоземельных ортоферритов и ортохромитов
Authors: Васинович Е.В. , Москвин А.С.
Published: May 2023

A simple theory of spontaneous spin reorientation in rare-earth orthoferrites RFeO3 and orthochromites RCrO3 induced by 4f-3d interaction is presented. It is shown that both the temperature and the nature of the spin reorientation are the result of the competition between the second- and fourth-order spin anisotropy of the 3d sublattice, the crystal field for 4f-ions, and also the 4f-3d interaction. A case of the substitution of the rare-earth ions with a non-magnetic impurity is also considered.
Migrating a Well-Established Longitudinal Cohort Database From Oracle SQL to Research Electronic Data Entry (REDCap): Data Management Research and Design Study
Authors: Kusejko Katharina , Smith Daniel , Scherrer Alexandra , Paioni Paolo , Kohns Vasconcelos Malte , Aebi-Popp Karoline , Kouyos Roger D , Günthard Huldrych F , Kahlert Christian R ,   Swiss HIV Cohort Study and the Swiss Mother and Child HIV Cohort Study
Published: May 2023

Background

Providing user-friendly electronic data collection tools for large multicenter studies is key for obtaining high-quality research data. Research Electronic Data Capture (REDCap) is a software solution developed for setting up research databases with integrated graphical user interfaces for electronic data entry. The Swiss Mother and Child HIV Cohort Study (MoCHiV) is a longitudinal cohort study with around 2 million data entries dating back to the early 1980s. Until 2022, data collection in MoCHiV was paper-based.

Objective

The objective of this study was to provide a user-friendly graphical interface for electronic data entry for physicians and study nurses reporting MoCHiV data.

Methods

MoCHiV collects information on obstetric events among women living with HIV and children born to mothers living with HIV. Until 2022, MoCHiV data were stored in an Oracle SQL relational database. In this project, R and REDCap were used to develop an electronic data entry platform for MoCHiV with migration of already collected data.

Results

The key steps for providing an electronic data entry option for MoCHiV were (1) design, (2) data cleaning and formatting, (3) migration and compliance, and (4) add-on features. In the first step, the database structure was defined in REDCap, including the specification of primary and foreign keys, definition of study variables, and the hierarchy of questions (termed “branching logic”). In the second step, data stored in Oracle were cleaned and formatted to adhere to the defined database structure. Systematic data checks ensured compliance to all branching logic and levels of categorical variables. REDCap-specific variables and numbering of repeated events for enabling a relational data structure in REDCap were generated using R. In the third step, data were imported to REDCap and then systematically compared to the original data. In the last step, add-on features, such as data access groups, redirections, and summary reports, were integrated to facilitate data entry in the multicenter MoCHiV study.

Conclusions

By combining different software tools—Oracle SQL, R, and REDCap—and building a systematic pipeline for data cleaning, formatting, and comparing, we were able to migrate a multicenter longitudinal cohort study from Oracle SQL to REDCap. REDCap offers a flexible way for developing customized study designs, even in the case of longitudinal studies with different study arms (ie, obstetric events, women, and mother-child pairs). However, REDCap does not offer built-in tools for preprocessing large data sets before data import. Additional software is needed (eg, R) for data formatting and cleaning to achieve the predefined REDCap data structure.
Patient Safety of Perioperative Medication Through the Lens of Digital Health and Artificial Intelligence (Preprint)
Authors: Ye Jiancheng
Published: May 2023

UNSTRUCTURED

Perioperative medication has made significant contributions to enhancing patient safety. Nevertheless, administering medication during this period still poses considerable safety concerns, with many errors being detected only after causing significant physiological disturbances. The intricacy of medication administration in the perioperative setting poses specific challenges to patient safety. To address these challenges, implementing potential strategies and interventions is critical. One such strategy is raising awareness and revising educational curricula regarding drug safety in the operating room. Another crucial strategy is recognizing the importance of redundancy and multiple checks in the operating room as a hallmark of medication safety, which is not a common practice. Digital health technologies and artificial intelligence (AI) also offer the potential to improve perioperative medication safety. Computerized physician order entry systems, electronic medication administration records, and barcode medication administration systems have been proven to reduce medication errors and improve patient safety. By implementing these strategies and interventions, health care professionals can enhance the safety of perioperative medication administration and improve patient outcomes.
Migrating a Well-Established Longitudinal Cohort Database From Oracle SQL to Research Electronic Data Entry (REDCap): Data Management Research and Design Study (Preprint)
Authors: Kusejko Katharina , Smith Daniel , Scherrer Alexandra , Paioni Paolo , Kohns Vasconcelos Malte , Aebi-Popp Karoline , Kouyos Roger D , Günthard Huldrych F , Kahlert Christian R ,   Swiss HIV Cohort Study and the Swiss Mother and Child HIV Cohort Study
Published: May 2023

BACKGROUND

Providing user-friendly electronic data collection tools for large multicenter studies is key for obtaining high-quality research data. Research Electronic Data Capture (REDCap) is a software solution developed for setting up research databases with integrated graphical user interfaces for electronic data entry. The Swiss Mother and Child HIV Cohort Study (MoCHiV) is a longitudinal cohort study with around 2 million data entries dating back to the early 1980s. Until 2022, data collection in MoCHiV was paper-based.

OBJECTIVE

The objective of this study was to provide a user-friendly graphical interface for electronic data entry for physicians and study nurses reporting MoCHiV data.

METHODS

MoCHiV collects information on obstetric events among women living with HIV and children born to mothers living with HIV. Until 2022, MoCHiV data were stored in an Oracle SQL relational database. In this project, R and REDCap were used to develop an electronic data entry platform for MoCHiV with migration of already collected data.

RESULTS

The key steps for providing an electronic data entry option for MoCHiV were (1) design, (2) data cleaning and formatting, (3) migration and compliance, and (4) add-on features. In the first step, the database structure was defined in REDCap, including the specification of primary and foreign keys, definition of study variables, and the hierarchy of questions (termed “branching logic”). In the second step, data stored in Oracle were cleaned and formatted to adhere to the defined database structure. Systematic data checks ensured compliance to all branching logic and levels of categorical variables. REDCap-specific variables and numbering of repeated events for enabling a relational data structure in REDCap were generated using R. In the third step, data were imported to REDCap and then systematically compared to the original data. In the last step, add-on features, such as data access groups, redirections, and summary reports, were integrated to facilitate data entry in the multicenter MoCHiV study.

CONCLUSIONS

By combining different software tools—Oracle SQL, R, and REDCap—and building a systematic pipeline for data cleaning, formatting, and comparing, we were able to migrate a multicenter longitudinal cohort study from Oracle SQL to REDCap. REDCap offers a flexible way for developing customized study designs, even in the case of longitudinal studies with different study arms (ie, obstetric events, women, and mother-child pairs). However, REDCap does not offer built-in tools for preprocessing large data sets before data import. Additional software is needed (eg, R) for data formatting and cleaning to achieve the predefined REDCap data structure.
A Digital Tool for the Self-Assessment of Homes to Increase Age-Friendliness: Validity Study (Preprint)
Authors: Aclan Roslyn , George Stacey , Laver Kate
Published: May 2023

BACKGROUND

Age-friendly environments in homes and communities play an important role in optimizing the health and well-being of society. Older people have strong preferences for remaining at home as they age. Home environment assessment tools that enable older people to assess their homes and prepare for aging in place may be beneficial.

OBJECTIVE

This study aims to establish the validity of a digital self-assessment tool by assessing it against the current gold standard, an occupational therapy home assessment.

METHODS

A cohort of adults aged ≥60 years living in metropolitan Adelaide, South Australia, Australia, assessed their homes using a digital self-assessment tool with 89 questions simultaneously with an occupational therapist. Adults who were living within their homes and did not have significant levels of disabilities were recruited. Cohen κ and Gwet AC1 were used to assess validity.

RESULTS

A total of 61 participants (age: mean 71.2, SD 7.03 years) self-assessed their own homes using the digital self-assessment tool. The overall levels of agreement were high, supporting the validity of the tool in identifying potential hazards. Lower levels of agreement were found in the following domains: steps (77% agreement, Gwet AC1=0.56), toilets (56% agreement, κ=0.10), bathrooms (64% agreement, κ=0.46), and backyards (55% agreement, κ=0.24).

CONCLUSIONS

Older people were able to self-assess their homes using a digital self-assessment tool. Digital health tools enable older people to start thinking about their future housing needs. Innovative tools that can identify problems and generate solutions may improve the age-friendliness of the home environment.
What Is Cryptocurrency?
Authors: Andrew Yetmar Scott
Published: May 2023

Cryptocurrency burst onto the scene in 2009 with Bitcoin. A person can buy almost anything with cryptocurrency. However, the thousands of cryptocurrencies are highly volatile. The majority of cryptocurrency owners are younger, highly educated males. Cryptocurrency relies on blockchain technology. To add new blocks to the blockchain, they must be mined. Non-fungible tokens represent ownership of an exclusive digital asset (e.g., a painting or a song). NFT transactions occur on the blockchain.
The Announcement Effect of Monetary Policy on the Corporate Bond Markets
Authors: Lai Show-Yen , Su Ko-Lun , Su Yu-Wei
Published: May 2023

This study investigates the impact of the central bank’s monetary policy announcements on the perceptions of yield spread in corporate bond markets under the event of extreme events. These results highlight that the coronavirus pandemic has caused a market panic in the global economy. This caused investors to withdraw their money from bond markets, which caused a liquidity crisis in bond markets. The Fed announcements caused statistically significant tightening on US and global investment grades and high-yield corporate bond spreads. The Euro investment grade and high-yield corporate bond spread narrowed when the Fed took additional actions to provide more funds and expanded the buying scope to support market liquidity. These results suggest that forward guidance that emphasizes the Fed’s monetary policy causes stronger information effects.
Involvement of Faculty in Research and Community Extension
Authors: Mobo Froilan Delute , Siahaan Sanggam , Saadoon Abather , Panigrahi Rashmi Ranjan
Published: May 2023

The academic world is full of scientific surprises because education is changing so rapidly because of its alignment with various sectoral fields. One of the requirements to be called a lecturer is to be involved in three fields: teaching, research, and involvement in community outreach; and has been published in peer-reviewed reputable journals indexed in Scopus, Web of Science, ISI, and other high-impact databases. The purpose of this research was to analyze Most of the universities experienced difficulties requiring their faculty to be actively involved in research and community outreach, and several factors influenced their willingness to pursue such initiatives. The type of research method used is a qualitative research method, which will identify how to motivate lecturer involvement in research and community service. The results showed that the majority of respondents or 85.7% preferred the reward system to encourage faculty involvement in research and community outreach, while the remaining 24 respondents preferred awards, which could range from other collaborations with research with other universities and colleges in the Philippines. Figure 2 shows that the majority of respondents prefer the formation of open research working groups with a total of 50 respondents, 100%, which means strengthening research collaboration will strengthen faculty motivation to engage in research, development, and counseling.
The Understanding of The Effectiveness of Digitizing Economic Management In Profitable and Sustainable Small Business Development Practices
Authors: Jacob Jufri , Purbaningsih Yuli , Sembiring H. MR. Ulung , Ng Suwandi , Septo Pramesworo Ignatius
Published: May 2023

The importance of understanding digital-based economic governance to achieve effectiveness in implementing profitable and sustainable small business development is essential to research. The author sees that only a few technology-based minor business development themes have shown the effectiveness of economic governance with the help of technology. We searched our data electronically in several journals, which included several publications, including Emerald Group Publishing, Elsevier publication, Pearson, UK, Willy online library, Taylors & Francis publications, Springers publications, IEEE publications, and several publications that discuss issues of economic development based on technology. After a series of data analyses involving several data analysis techniques under a phenomenological approach, we can finally conclude that the effectiveness of digital-based economic governance is an essential strategy and approach in developing a sustainable and profitable small business enterprise. The reason is that technology with innovative capabilities and transformation can provide convenience for business implementers to run their businesses effectively and efficiently toward being productive.
Becupin Tradition: The Efforts of Young Generation in Maintaining the Existence of Malay Culture in Kapuas Hulu
Authors: Ramadhan Iwan , Hardiansyah Muhammad Agus , Imran Imran , Firmansyah Haris , Aditya Mega Cantik Putri
Published: May 2023

Becupin tradition is a Malay ethnic cultural heritage from Kapuas Hulu, namely an entertainment program that is held at the first wedding of the Malay ethnic Kapuas Hulu. In its development, this tradition has begun to be forgotten by the community, because it is no longer attractive, people prefer entertainment events by hiring local singers or artists. more modern both the music and the singer. The purpose of this study is to describe the becupin tradition which has begun to be eroded by the times, and the efforts of the younger generation to maintain the becupin tradition as part of the Kapuas Hulu Malay ethnic culture. The method used in this study is a descriptive qualitative method, providing an overview of the processes, implementation, and efforts made by the young generation to maintain the existence of local cultural traditions by collecting observations and reinforced by interviews with informants who have been determined by the researcher. The results of this study are the process of performing the becupin tradition with the staging that has been prepared by the wedding event committee, then the implementation is carried out at the reception and the evening after the reception event, while the value contained in this becupin tradition is to provide advice to the bride and groom so that they can maintain their marriage until the end of their lives, as well as the efforts made by the Malay community of Kapuas Hulu is to provide flexibility for the younger generation to become committee members and become actors in this tradition so that they can survive amidst the flow of modernization. This research is one of the studies that is still lacking in exploring Malay ethnic cultural traditions, especially in riverside communities in Kapuas Hulu.
Energy from Waste: Poterioochromonas malhamensis Used for Managing Dairy Effluent and Producing Valuable Microalgal Lipid
Authors: Dhillon Nisha , Gupta Sanjay , Kumar Vivek , Bhandari Geeta , Arya Sonam
Published: May 2023

Currently, microalgae have become a marvelous and resource-friendly alternative source of advantageous bioproducts, such as lipids, carbohydrates, proteins, or other bioactive compounds. Because of the richness of microalgae in these high-value-added metabolites, still, it is an underdeveloped source of sustainable energy and food. There are some hurdles to profitable production, such as culture contamination and costly harvesting techniques. In the current work, a chrysophyte was isolated from dairy wastewater, identified as Poterioochromonas malhamensis based on its morphology and partial 18S rRNA gene sequences. This isolate was used to remediate dairy waste water (DWW) and to obtain neutral lipids (fatty acids) from microalgae. Microalgal growth was optimized by using different concentrations of DWW, supplemented with all the nutritive requirements for better progression and flourishment. Maximum biomass yield 1.478 g L−1 was achieved by optimized cultural conditions (different concentrations of DWW with BBM media). This strain showed high nitrate and phosphate removal efficiency (87.45% and 88.96%), respectively in 15 days. The experimental results highlighted that the lipid content and the chemical oxygen demand (COD) removal were 31.60% and 88.84%, respectively, and the lipid profile of isolated microalga was C16:0, C16:1, C18:0, C18:1, and C18:2 fatty acids. For growth and treatment purposes, 75% DWW with Bold’s Basal Medium (BBM) media showed better results. This is the first report of DWW treatment using the microalga Poterioochromonas malhamensis, as far as we are aware. Its cultivation prevented the spread of pollution of freshwater sources, remedied the DWW, and generated important lipids for industry.
Plant Disease Detection and Classification Using Deep Learning
Authors: K Krishna Chandan
Published: May 2023

Abstract: Agriculture is the backbone of every country in the world. In India, most of the rural population still depends on agriculture. The agricultural sector provides major employment in rural areas. Furthermore, it contributes a significant amount to India’s gross domestic product (GDP). Therefore, protecting and enhancing the agricultural sector helps in the development of India’s economy. In this work, a real-time decision support system integrated with a camera sensor module was designed and developed for the identification of plant disease. This research proposes an intelligent method for plant disease classification using image processing techniques. The proposed method aims to assist farmers and experts in identifying and diagnosing plant diseases efficiently and accurately. The system first obtains images of the plant leaves from different perspectives and then preprocesses the images to enhance the quality and remove noise. The preprocessed images are then subjected to feature extraction using a deep convolutional neural network (CNN) model. The features extracted from the CNN are then fed into a classifier for the classification of plant diseases. The proposed method is evaluated using a dataset of plant images with three different types of diseases. The results obtained show that the proposed method achieves high accuracy in the classification of plant diseases, making it a useful tool for plant disease diagnosis and control. The proposed method can be integrated into a mobile application or web based platform for use by farmers and botanists.
Automated Attendance using Face Recognition and Automated Marking in ERP System
Authors: Gawade Mayuri M.
Published: May 2023

Abstract: Every institution like educational institutions, government agencies, or private businesses needs to control attendance. Institutions will need to keep track of individuals within the organization, such as employees and students, in order to maximize their performance. Facial Recognition in Real-time is a practical method for managing the daily attendance of several students. Our program is focused mainly on implementing Web automation for all the institutions which use Web app ERP (Enterprise resource planning) or like ERP system for marking the attendance. Our model automates the complete task from taking attendance, logging in into ERP , marking attendance in ERP / similar web app with an acknowledgement email regarding the attendance status to each student/ user. Also creating Database of attendance of each session. Which is implemented in python using OpenCV, Selenium, smptlib and MongoDB.
Vote Now Application
Authors: Meshram Harshal
Published: May 2023

Abstract: The "Vote Now" application is an online e-voting system that aims to provide a more efficient and secure way to vote. The system includes multiple layers of verification, including face recognition and finger verification, to ensure the reliability of the device. Additionally, the application includes a location-free voting system that allows voters who are unable to come to the voting location to cast their vote from their hometown. This system eliminates the time-consuming and paper-based process of the traditional manual voting system and provides a more secure and authenticated voting experience. The proposed system is an Android-based application and implements the Haar Cascade algorithm for individual authentication. The "Vote Now" application offers a modern and efficient voting experience while ensuring the security and reliability of the system.
El Imperio Alemán y la Guerra del Pacífico (1879-1883)
Authors: Yévenes Canales Daniel
Published: May 2023

El presente artículo analiza el actuar diplomático alemán realizado por funcionarios desde su legación en Santiago de Chile bajo el contexto de la Guerra del Pacífico (1879-1883). Este conflicto generó muchas diferencias y temores en América, situación que fue replicada en Europa a través de las Grandes Potencias, destacando en esta investigación el Imperio Alemán. Para llevar a cabo este trabajo se utilizaron fundamentalmente fuentes primarias ligadas a la institución de la diplomacia germana en la capital chilena junto a diversas fuentes bibliográficas que nos permitieron caracterizar el pensamiento decimonónico. Esto permitirá comprender y reconstruir historiográficamente el rol asumido desde Berlín durante la guerra más importante en esta costa del Pacífico en el siglo XIX
Impact Over 3 Years of a Family Medicine-led Addiction Medicine Curriculum for Medical Students
Authors: Keenan Anne , Sopdie Elizabeth , Keilty Jack , Clark Kirby
Published: May 2023

Background and Objectives: Innovations in medical school training are essential for family physicians to enter practice confident in addressing the opioid epidemic and substance use disorders. The objective of this study was to evaluate the effectiveness of a distance-learning addiction medicine curriculum led by family medicine physicians for third-year medical students.
Methods: Our prospective cohort study of third-year medical students compared our educational model to a traditional curriculum. Our distance-learning collaboration employed videoconferencing and community experts to engage students across Minnesota in an addiction medicine curriculum. Students in a family medicine-focused 9-month longitudinal integrated curriculum (LIC) participated in this 16-session curriculum while embedded in a rural or urban underserved community for their core third-year clerkships. We evaluated program effectiveness through a knowledge and attitude self-assessment survey of student participants before and after the program compared to students in a traditional curriculum.
Results: The pre- and postsurvey response rates, respectively, were 22.8% for the control group and 98.4% for the ECHO (Extension for Community Healthcare Outcomes) group. Compared to classmates in a traditional curriculum, program participants reported significantly higher self-perceived ability managing addiction concerns upon completing this curriculum (mean score of 3.2 vs 2.2 on a 5-point Likert scale, P<.001).
Conclusions: Data from our LIC showed promise that the model can be effective in building confidence in students’ abilities to practice addiction medicine. Because of its broad reach and low cost, this form of medical education may be a key model for medical schools to respond to the opioid epidemic and better serve our patients.
Changing Missions of Medical Schools and Trends in Medical Student Diversity
Authors: Campbell Kendall M. , Tumin Dmitry , Linares Jhojana  L. Infante , Porterfield Laura , Kisel Tibor
Published: May 2023

Background and Objectives: Improving diversity in the physician workforce continues to be a challenge and a priority for medical schools. Establishing a school-wide mission statement that addresses diversity, equity, and inclusion can help support efforts to increase the number of underrepresented in medicine (URM) graduates.
Methods: In this study, we analyzed changes in medical school mission statements between 2013 and 2021 and correlated changes in mission statements with trends in URM student representation. We performed a web search of 136 medical schools’ mission statements and categorized them based on whether they changed their mission statement to add diversity or equity language. We then obtained demographic data of enrolled students at each school and identified the percentage of students identifying as URM in each academic year. We used mixed-effects regression and pair fixed effects linear regression to examine trends in URM student representation and the association between URM student representation and whether a school added diversity and equity content to its mission statement.
Results: We found that URM student representation increased by 0.4% per year at schools that added diversity and equity content to their mission statements.
Conclusions: Changing medical schools’ mission statements to reflect values of diversity, equity, and inclusion was associated with an increase of less than a 1% per year in URM representation. More research is needed to explore relationships between URM representation and medical school mission statements.
Transforming Multilingual Students’ Learning Experience Through the Use of Lego Serious Play
Authors: Meletiadou Eleni
Published: May 2023

To prepare their students for the increasingly demanding workplace of the 21st century, business schools resort to using experiential learning techniques to make explicit connections between knowledge and experiences students already have, encouraging them to make their own interpretations. In this case study, 50 multilingual students participated in a Lego Serious Play (LSP) intervention for one academic semester. Due to the continuous rise of the numbers of international students in management schools in the UK in the post-COVID-19 era, researchers and lecturers indicate that additional support is often deemed necessary to promote social justice for multilingual and multicultural students and support their well-being. These students used LSP to make better sense of the assessment criteria and the theories they had to use to respond to the instructions and prepare a group paper and a group oral presentation in terms of a module on intercultural management. Findings revealed that these English as a Second Language (ESL) students were inspired by the use of LSP as it allowed them to reflect on the theories and apply them in creative ways fostering collaboration and creative problem-solving. Students initially felt uneasy to engage in this new approach but then enhanced their performance in their group oral presentations by 35% as they were able to improve their second language competence and intercultural awareness. The article concludes by discussing implications for using LSP with multilingual ESL students to help them overcome linguistic and cultural barriers, offering suggestions for the effective use of game-based techniques in Higher Education.
Palladium-catalyzed [4 + 4] cycloaddition of homo-TMM all-carbon 1,4-dipole precursors for the construction of benzofu-ro[3,2-b]azocines
Authors: Deng Wei-Ping , Luo Xiaoyan , Liu Yang-Zi , Chen Ying
Published: May 2023

We developed a novel Pd-catalyzed [4 + 4] cycloaddition of
benzofuran-derived azadienes with homo-TMM all-carbon 1,4-dipoles in
situ generated from α-allyl malonate derivatives, affording an array of
benzofuro[3,2-b]azocines with good to excellent yields (up to 96%)
and exclusive regioselectivities. This methodology featured mild
reaction conditions and good functional group tolerance. The synthetic
utility was demonstrated by a gram-scale reaction. Furthermore, the
catalytic asymmetric [4 + 4] cycloaddition version has also been
explored.
The alteration of structural network upon transient association between proteins studied using graph theory
Authors: Sowdhamini Ramanathan , Prabantu Vasam , Tandon Himani , Sandhya Sankaran , Srinivasan Narayanaswamy
Published: May 2023

Proteins such as enzymes perform their function by predominant
non-covalent bond interactions between transiently interacting units.
There is an impact on the overall structural topology of the protein,
albeit transient nature of such interactions, that enable proteins to
deactivate or activate. This aspect of the alteration of the structural
topology is studied by employing protein structural networks, which are
node-edge representative models of protein structure, reported as a
robust tool for capturing interactions between residues. Several methods
have been optimised to collect meaningful, functionally relevant
information by studying alteration of structural networks. In this
article, different methods of comparing protein structural networks are
employed, along with spectral decomposition of graphs to study the
subtle impact of protein-protein interactions. A detailed analysis of
the structural network of interacting partners is performed across a
dataset of around 900 pairs of bound complexes and corresponding unbound
protein structures. The variation in network parameters at, around and
far away from the interface are analysed. Finally, we present
interesting case studies, where an allosteric mechanism of structural
impact is understood from communication-path detection methods. The
results of this analysis are beneficial in understanding protein
stability, for future engineering and docking studies.
Spatiotemporal groundwater modeling for hazard analyses in the San Francisco Bay region
Authors: Greenfield Michael Wesley , Estep Timothy , Hitchcock Christopher Scott , Wilson Jennifer M. , Leshchinsky Ben , Wartman Joe , Wade Adam , Kottke Albert , Boone Michael
Published: May 2023

Many hazards, including precipitation-induced landslides and coseismic
liquefaction, are strongly influenced by the variability of groundwater
levels. Simplified or coarse-resolution groundwater models are available
for regional-scale studies of infrastructure networks; however, these
models often do not consider spatial and temporal variations observed
within wells and may not provide sufficient local resolution for
critical hazard studies. We extend a conventional, physics-based
groundwater model to include spatial and temporal variability based on
Gaussian process (GP) interpolation to better understand the local and
temporal variation of groundwater between well observations. In this
probabilistic model, the physics-based groundwater elevation model
serves as an ergodic function and the GP interpolation serves as a model
of the well observation residuals. We demonstrate the applicability and
accuracy of the model by developing phreatic groundwater estimates for
an approximately 10,000 km2 area surrounding San Francisco Bay,
California, USA. The resulting model accurately estimates the seasonally
variable groundwater depth in a blind holdout dataset within 1.11 m with
90% confidence. The model is well constrained with a standard deviation
of approximately 1.1 m near wells, but the uncertainty increases
dramatically in mountainous terrain where well observations are limited.
The model results also indicate that the average seasonal variability is
typically modest relative to non-seasonal events, but nonetheless could
have significant impacts on hazard evaluations such as
earthquake-induced liquefaction or shallow slope instability.
Mapping and Characterizing Rock Glaciers in the Arid Western Kunlun Mountains Supported by InSAR and Deep Learning
Authors: Hu Yan , Liu Lin , Huang Lingcao , Zhao Lin , Wu Tonghua , Wang Xiaowen , Cai Jiaxin
Published: May 2023

Rock glaciers manifest the creep of mountain permafrost occurring in the
past or at present. Their presence and dynamics are indicators of
permafrost distribution and changes in response to climate forcing.
There is a complete lack of knowledge about rock glaciers in the Western
Kunlun Mountains, one of the driest mountain ranges in Asia, where
extensive permafrost is rapidly warming. In this study, we first mapped
and quantified the kinematics of active rock glaciers based on satellite
Interferometric Synthetic Aperture Radar (InSAR) and Google Earth
images. Then we trained DeepLabv3+, a deep learning network for semantic
image segmentation, to automate the mapping task. The well-trained model
was applied for a region-wide, extensive delineation of rock glaciers
from Sentinel-2 images to map the landforms that were previously missed
due to the limitations of the InSAR-based identification. Finally, we
mapped 413 rock glaciers across the Western Kunlun Mountains: 290 of
them were active rock glaciers mapped manually based on InSAR and 123 of
them were newly identified and outlined by deep learning. The rock
glaciers are categorized by their spatial connection to the upslope
geomorphic units. All the rock glaciers are located at altitudes between
3,390 m and 5,540 m with an average size of 0.26 km2 and a mean slope
angle of 17°. The median and maximum surface downslope velocities of the
active ones are 17±1 cm yr-1 and 127±6 cm yr-1, respectively.
Characteristics of the inventoried rock glaciers provided insights into
permafrost distribution in the Western Kunlun Mountains.