bluuebunny/crossref_metadata_2025 huggingface dataset:
Bethe Ansatz inside Calogero-Sutherland models
Authors: Ferrando Gwenaël , Lamers Jules , Levkovich-Maslyuk Fedor , Serban Didina
Published: January 2025

We study the trigonometric quantum spin-Calogero–Sutherland model, and the Haldane–Shastry spin chain as a special case, using a Bethe-Ansatz analysis. We harness the model’s Yangian symmetry to import the standard tools of integrability for Heisenberg spin chains into the world of integrable long-range models with spins. From the transfer matrix with a diagonal twist we construct Heisenberg-style symmetries (Bethe algebra) that refine the usual hierarchy of commuting Hamiltonians (quantum determinant) of the spin-Calogero–Sutherland model. We compute the first few of these new conserved charges explicitly, and diagonalise them by Bethe Ansatz inside each irreducible Yangian representation. This yields a new eigenbasis for the spin-Calogero–Sutherland model that generalises the Yangian Gelfand–Tsetlin basis of Takemura–Uglov. The Bethe-Ansatz analysis involves non-generic values of the inhomogeneities. Our review of the inhomogeneous Heisenberg XXX chain, with special attention to how the Bethe Ansatz works in the presence of fusion, may be of independent interest.
İletişim Teknolojilerinin Toplumsal Dinamikleri: Habermas ve Castells’in Teorik Yaklaşımlarının Karşılaştırılması
Authors: Ozturk Ali
Published: January 2025

İletişim teknolojilerinin hızlı gelişimi, modern toplumların yapısında köklü dönüşümlere yol açmıştır. 20. yüzyılın sonlarından itibaren internetin ve dijital iletişim araçlarının yaygınlaşması, bireylerin, toplulukların ve devletlerin etkileşim biçimlerini yeniden şekillendirmiştir. Günümüzde bireyler arasındaki iletişim giderek daha fazla dijital platformlar aracılığıyla gerçekleşmekte, bu da yeni bir kamusal alanın oluşmasına ve geleneksel kamusal alanın yeniden tanımlanmasına neden olmaktadır. Bu makale, iletişim teknolojilerinin toplumsal dinamikler üzerindeki etkilerini ele alan Jürgen Habermas ve Manuel Castells'in teorilerini karşılaştırmalı olarak incelemektedir. Habermas, İletişimsel Eylem Teorisi ile kamusal alanın dönüşümünü analiz ederken, iletişim teknolojilerinin toplumsal katılımı artırma potansiyeline ve kamusal alanın ticarileşme riski gibi sorunlara odaklanır. Habermas’a göre dijital iletişim, bireylerin kamusal alana katılımını genişletebilir, ancak aynı zamanda ticarileşme ve özel çıkarların kamusal alanı kuşatması riski de taşır. Castells ise Ağ Toplumu teorisi ile dijital ağların toplumsal yapıları ve güç ilişkilerini yeniden şekillendirme gücünü vurgular. Özellikle dijital bölünmenin toplumsal eşitsizlikleri artırabileceğine dikkat çeken Castells, küresel iletişimin toplumsal yapılar üzerindeki etkilerini ele alır. Bu iki teori, iletişim teknolojilerinin demokratik süreçler ve toplumsal katılım üzerindeki çift yönlü etkilerini anlamada birbirini tamamlayıcı ve eleştirel perspektifler sunar. Çalışma, teorik analiz ve karşılaştırmalı analiz yöntemlerini benimseyerek, iletişim teknolojilerinin toplumsal yapıları nasıl dönüştürdüğünü çok boyutlu bir bakış açısıyla incelemeyi amaçlamaktadır. Teorik analiz, konuyu kuramsal çerçeveler içinde ele alarak kavramsal bir inceleme sunarken, karşılaştırmalı analiz, iki teorinin benzerlik ve farklılıklarını detaylandırarak anlamayı sağlar.
Parameterized unified method for setting vector finite fields for multivariate cryptography
Authors:   St. Petersburg Federal Research Center of the Russian Academy of Sciences, Moldovyan Alexandr A. , Moldovyan Nikolay A. ,   St. Petersburg Federal Research Center of the Russian Academy of Sciences
Published: January 2025

One of attractive paradigms of the public key multivariate cryptography is connected with application of the exponentiation operations in vector finite fields of different dimensions. The computationally heuristic method of specifying vector finite fields with a large number of implemented modifications is a problematic area of this paradigm. In this regard, a formalized method for the unified construction of vector finite fields is proposed.
Ideological and Artistic Parallels in the Drama Old Gods by Levon Shant and the Novel Resurrection of Gods. Leonardo da Vinci by Dmitry Merezhkovsky
Authors:   Institute of Literature after Manuk Abeghyan of the National Academy of Sciences of the Republic of Armenia, Seyranyan Lilit B.
Published: January 2025

The article, considering the connections and relationships of Russian and Armenian literature at a new level, for the first time explores the numerous similarities of an ideological and artistic nature in the drama “Old Gods” by the famous Armenian writer, playwright, teacher, statesman and public figure Levon Shant (Nakhashpetyan-Sekhbosyan) (1869–1951) and in the novel “Resurrection of Gods. Leonardo da Vinci” by the Russian writer, literary critic, poet, religious philosopher, translator and public figure Dmitry Merezhkovsky (1865–1941). The subject of the study are the above-mentioned works. Historical-comparative, comparative, structural-semiotic and mythopoetic methods are used as the methodological basis of the research. The purpose of the article is to study the similarities of the imaginative thinking of Shant and Merezhkovsky, which are primarily manifested in the binary of artistic images. In particular, binary oppositions are compared: white — black, light — darkness, good — evil, teacher — student, worldly — spiritual and others, as well as images and characters having a common symbolic and semantic load։ Seda (Shant) — Venus, Kasandra (Merezhkovsky); Monk (Shant) — Giovanni Beltraffio (Merezhkovsky); Abbot, Someone in White, Hermit (Shant) and Girolamo Savonarola, Merula, Leonardo da Vinci (Merezhkovsky). The purpose of the religious quest of the Merezhkovsky spouses is to build a new church (in their perception, the Church of the Third Testament), in fact, is also the goal of one of the heroes of the Shant’s drama․ In both works, the “disciples” commit suicide (Beltraffio manages to be saved) due to the inability to reconcile contradictions in values. The main problems of the article are the theme of eternal spiritual perfection, the idea of spiritual search and self-realization of a lonely and free personality, which manifest themselves in the drama and novel studied in parallel. Similarities are also observed in the life paths of the writers․ Proceeding from the above, the ideological-artistic and structural-symbolic similarities in their works can be explained both by the general influence of the ideological trends of the era on both authors, and, perhaps, by Shant’s acquaintance with the work of Merezhkovsky․ The research is interdisciplinary, taking into account the fact that the solutions to these problems are at the intersection of literary studies, philosophy, theology and psychology.
Dictator Fiction in Yemen
Authors:   St. Petersburg State University, Suvorov Mikhail N.
Published: January 2025

The dictator novel, a literary sub-genre of Latin American origin, has been developing in Arab literature since the late 1950s, but it was not until the end of the Arab Spring that works of this sub-genre, as well as short stories about the dictatorship appeared in Yemen. This article examines two books of Yemeni dictator fiction, Ali al-Muqri’s novel Land of the Leader (2019) and Wajdi al-Ahdal’s collection of short stories Fatal Arrangements (2020). Ali al-Muqri tells the story of an Egyptian writer who came to another Arab country to write a biography of the country’s dictator. Though the country and the dictator have no real names in the novel, many recognizable details point to the dictatorship of Muammar Gaddafi. It is not, however, the dictator who is central for the plot, but the community of local intellectuals serving the dictatorship. Wajdi al-Ahdal’s collection comprises fourteen stories about fourteen dictators, from Adolf Hitler to Comorian Mohamed Bacar. The stories al-Ahdal tells may have never happened in reality. For the most part, they are related to the dictators’ intimate lives, to their use of fortune-tellers, sorcerers and clairvoyants, to their behavior with their confidants and courtiers, etc. Grotesque and caricature are more important in these stories than historical truth. Both writers, unlike other Arab authors of dictator fiction, avoid portraying the horrors of the dictatorship and its crimes against humanity and prefer to highlight the dictatorship’s immanent irrationalism bordering on idiocy. Caricature in their narratives clearly prevails over drama, and their dictators are not so much fearful as ridiculous.
Strategic management of an organization in the context of digital transformation: Main trends
Authors:   Peter the Great St. Petersburg Polytechnic University, Ponyaeva Irina I. , Kukushkin Kuzma V. ,   Peter the Great St. Petersburg Polytechnic University, Rozhdestvenskiy Oleg I. ,   Peter the Great St. Petersburg Polytechnic University, Babkin Alexander V. ,   Peter the Great St. Petersburg Polytechnic University
Published: January 2025

Purpose: to identify the key topics and main trends in the strategic management of an organization in the context of digital transformation based on the semantic literature review.

Metodology: semantic analysis was carried out using the topic modeling method with two bibliometric approaches: keyword analysis (using VOSviewer and BERTopic modeling) and abstract analysis (using LDA and BERTopic modeling) of the academic papers from Scopus (the corpus includes 9 143 articles in a strategic management of an organization in the context of digital transformation for the period from early 1998 to March 2024). The Python programming language was used for modeling (libraries Pandas, Gensim, BERTopic, NLTK, etc.).

Findings: the study presents a general assessment of the dynamics of the analyzed papers, including the keywords, and highlights the most cited ones. Cluster analysis enabled to systematize the keywords into research directions. The semantic analysis with LDA modeling by abstracts identified 20 dominant topics in the papers and an inter-thematic research map was formed. The results of BERTopic modeling showed higher accuracy. Specifically, more than 80 topics identified in the array allowed to trace the time evolution of the top 10. Among the list of the topics, the most common ones relate to application issues of digital transformation in various industries.

Originality and contribution: the given study contributes to the systematization of knowledge through interdisciplinary and multidimensional analysis of academic papers. The main contribution of the study is the proposed combination of bibliometric analysis methods. Its application allows to get an overall view on the research landscape and determine the key topics and the main trends. These trends can be considered as the relevant agenda for those scholars who are interested to contribute in managing the digital transformation of an organization.
The impact of network effects on digital platforms: Theoretical statements and empirical analysis
Authors:   Graduate School of Business, HSE University, Shaidullin Ansel I.
Published: January 2025

Purpose: to examine the impact of network effects on the growth of the digital platforms utility.

Methodology: the following research methods were used: a brief bibliometric analysis to identify research clusters (via VOSviewer software); a review of the most cited scientific articles on the research topic; statistical and econometric methods of collecting and processing information with the construction of regression models.

Findings: the paper summarizes the existing knowledge about network effects and provides examples of the digital platforms utility growth using the theory of network effects.

Originality and contribution: the study describes the stages of development of digital platforms in terms of network effects. The empirical analysis allowed the authors to confirm the hypothesis about the significant impact of network effects on the growth of digital platforms’ utility and to deduce the additional hypotheses for further research. Managers can use the findings about network effects and approaches for the purpose of modeling the platform utility assessment, as well as to analyze the stages of the technological cycle which the platform is currently undergoing.
Lacunarity of digital transformation processes of an organization: Causes and effects
Authors:   Novosibirsk State University of Economics and Management, Milekhina Olga V. , Adova Irina B. ,   Novosibirsk State University of Economics and Management, Shkarupeta Elena V. ,   Peter the Great St. Petersburg Polytechnic University,   Voronezh State Technical University
Published: January 2025

Purpose: to explore the nature of lacunas in the process of digital transformation of an organization, their localization and elimination.

Metodology: theoretical and empirical approach based on the methods of analysis and synthesis to determine the essence and factors of lacunarity of digitalization was used.

Findings: the study (1) revealed the influence of subjectivity on the digital transformation performance of an organization; (2) substantiated the importance of digital transformation; (3) analyzed the reasons for the actor’s inattention to digitalization processes; (4) investigated the nature of the lacunarity of digitalization; (5) identified the role structure and multi-directionality of the value guidelines of actors, and (6) determined the degree and forms of its display in the processes of digital transformation of organizations.

Originality and contribution: the paper proposes the author’s definition of digitalization lacunas The emphasis is given to organizational and communicational lacunas. Their influence on the processes of digital transformation of an organization is analyzed.
Modern trends in digital transformation of Russian full-cycle agricultural enterprises
Authors:   State University of Management, Pisareva Olga M. , Belousova Maria N. ,   State University of Management, Stefanovsky Dmitry V. ,   State University of Management
Published: January 2025

Purpose: to assess key trends and prioritize the areas for further development and implementation of digital platforms to support production and management technologies in smart agriculture.

Methodology: the study used the methods of content and logical analysis of scientific publications on the topic of digital transformation of the agro-industrial complex in Russia and abroad, methods of statistical analysis of data from official reports of Rosstat and the World Food Organization.

Findings: the study provides an up-to-date description of the implementation of the digital transformation process in the agriculture sector. Critical problems have been identified and the key objectives have been formulated to increase the effectiveness of the development and application of domestic digital platforms supporting production technologies and management of smart agricultural enterprises. The paper presents the concept of designing the architecture and forming the functionality of a digital platform in the precision farming paradigm.

Originality and contribution: the prioritization of the areas for improving the development and implementation of digital platforms in the domestic agro-industrial complex was carried out with regard to the principle of national technological independence in the critical areas of the economy. When designing and creating digital solutions for smart agricultural production, it is recommended to account for the following aspects: the implementation of a complex of socio-economic relations of different in scale agribusiness enterprises and specificity of the territory of their economic activity, the use of closed-cycle technologies and the specialization of an economic entity in the agro-industrial complex subsector when pairing its intelligent information system with a state digital platform for regulating agriculture.
Integrating Sustainable Development Goals into the nexus approach
Authors: Acioli Canamary Erica , Paiva Ana Carolina de Encarnação , Martins Minella Alves , Silva Diovana de Moura , Marchezini Victor , Tomasella Javier
Published: January 2025

The increased intensity and frequency of future climate extremes might invalidate current water policies, particularly in the case of basins with competing water uses. To analyze these challenges, the nexus approach was proposed as an alternative to integrated resources management by simultaneously taking into account synergies and trade-offs on water, energy, and food security. However, the application of nexus approaches is incipient, and scarcity events highlighted challenges in implementing its principles, which are crucial for meeting Sustainable Development Goals (SDGs). Therefore, this study proposes a set of water, energy, and food indicators that reflect the SDGs, focusing on water use in the Paraíba do Sul River Basin, Brazil for the period 2016–2050. Results showed a limited influence of land use policies on future resource availability, with differences of less than 5% among scenarios. Projections revealed an increased frequency of extreme discharge compared with the baseline period. Moreover, the analysis of the scenarios revealed a higher probability of failing to meet one of the water transfer targets of the basin. The efficiency of wastewater treatment will significantly impact freshwater quality, indicating low water quality 90% of the time considering the current level of wastewater treatment.
Evaluation of hydraulic retention time on hydrogen production from corn industry wastewater by dark fermentation
Authors: Vázquez-López Monserrat , Campuzano Rosalinda , De los Cobos-Vasconcelos Daniel , Moreno-Andrade Ivan
Published: January 2025

Dark fermentation has the potential to produce biohydrogen using raw material waste, such as wastewater from the corn industry (cornWW), which is characteristically alkaline and improperly discharged. This study aimed to assess the impact of different hydraulic retention times (HRT) on hydrogen production in a sequencing batch reactor system using raw cornWW as feedstock. Different HRTs were evaluated (4, 2, and 1 day(s)). Higher biohydrogen productivity was observed in HRT value of 1 day (893.6 ± 10.1 NmL H2/Lreactor/day), indicating its favorable metabolic pathways leading to the generation of hydrogen, carbon dioxide, acetate, butyrate, and caproate. Microbial analysis revealed that the Atopobium and Clostridium (genera) played key roles in hydrogen and organic acid production. Additionally, during the fermentation of cornWW, lactic acid in the feedstock facilitated the production of caproic and propionic acids, further enriching the range of valuable byproducts obtained through this process.
Algorithm for predicting water quality indicators in water bodies using a neural network
Authors:   F.F. Erisman Federal Scientific Center of Hygiene, 2 Semashko St., Mytishchi, Moscow region, 141014, Russian Federation, Shiryaeva M.A. , Sinitsyna O.O. ,   F.F. Erisman Federal Scientific Center of Hygiene, 2 Semashko St., Mytishchi, Moscow region, 141014, Russian Federation, Pushkareva M.V. ,   F.F. Erisman Federal Scientific Center of Hygiene, 2 Semashko St., Mytishchi, Moscow region, 141014, Russian Federation, Turbinsky V.V. ,   F.F. Erisman Federal Scientific Center of Hygiene, 2 Semashko St., Mytishchi, Moscow region, 141014, Russian Federation
Published: January 2025

Clean and safe drinking water is a fundamental necessity for human health and well-being and a critical component in sustainable ecosystem development. In recent decades, water quality issues have become even more urgent due to population growth, industrial expansion and climate change.

A series of works by foreign researchers report results obtained by applying neural networks. There are studies confirming results of water quality prediction generated by neural networks to be quite valid.

In this research, we used Google Earth Pro, Microsoft Excel, water flow sensor based on Arduino UNO board with author's modification (tail feathering and built-in plugin for calculation of flow velocity), Python, Tensorflows keras2.2.0, Scikit-learn, Pandas libraries for machine learning and development of neural network architecture. In this study, two ANNs were combined to build a hybrid neural network model for predicting water quality indicators.

Neural network models offer unique opportunities to improve water resources management at various levels, ranging from local to global one. A key advantage of such models is a possibility to adapt them to specific conditions and requirements, which provides more accurate prediction and timely decision making under uncertainty. The relevance of the work is determined by application of neural networks for water quality prediction. This can improve systems for early warning about pollution, help optimize operational processes at water treatment plants and develop effective water management strategies.

In this research, an innovative hybrid neural network model has been developed for predicting water quality indicators. It is based on integrating deep convolutional neural network and bidirectional recurrent neural network, which consists of three functional parts.
Officers of the Wielkopolska Police Department Awarded the Crystal Star for Saving Lives in Situations of Suicidal Behavior
Authors: Czeszak Krzysztof
Published: January 2025

Every day, police officers respond to numerous incidents involving violations of the law and moralnorms, demonstrating both professionalism and determination in serving the public. However,their efforts to save lives in situations involving suicidal behavior deserve special recognition.When individuals attempt to take their own lives for various reasons, police officers often risktheir own lives and health to intervene and prevent these tragedies. One way this bravery ishonored is through the Crystal Star, awarded in Greater Poland to officers who prioritize thelife and health of every person.
Impact of the “Suicidological Library” Series on the Advancement of Polish Suicidology
Authors: Czabański Adam
Published: January 2025

Since 2021, researchers affiliated with the Polish Association of Suicidology have initiated the publication of multi-author  monographs as part of the “Suicidological Library” series. To date, three volumes have been released. This article aims to explore how these monographs have contributed to the field of suicidology. Each volume was produced under the scientific editorshipof Prof. Brunon Hołyst and involved a diverse editorial board comprising leading Polish suicidologists as well as experts from the USA, Sweden, Germany, Austria, and Canada. While the “Suicidology” yearbook helped unify the suicidology research community and disseminate knowledge between 2005 and 2018, the “Suicidological Library” series has further strengthened this trend. It not only presents the findings of esteemed Polish suicidologists, but it also showcases the research of emerging scholars in this challenging field.
Humanization of Medicine: A Narrative Review
Authors: Szczepek Agnieszka
Published: January 2025

Modern Western medicine is advancing exponentially. Technological innovations enable faster and better diagnosis, tailor therapy to the individual patient and disease, enhance the success of treatment, and shorten the duration of disease. Amid these  technological advances, medicine is still about people. This paper aims to synthesize the knowledge on medicine’s contemporary approach to  human suffering and disease by applying medical humanities to improve medicine humanization.
Ethical Considerations in the Provision of Humanitarian Aid and Development Assistance to Countries and Societies in Sub-Saharan Africa by the European Union and its Member States
Authors: Antczak Stanisław
Published: January 2025

The aim of this article is to present the role that ethical factors play in providing humanitarian aid to the countries in Sub-Saharan Africa that are considered the poorest, and are sometimes even extremely poor and underdeveloped.  The administrative and economic weakness of these countries is due to the colonial legacy inherited by the newly  independent states, among other reasons. Moral sensitivity plays an important role in the European Union and its  member countries providing humanitarian aid and development assistance, but these considerations often give way  when the significant political and economic interests of donor countries are at stake. The research method is a literature review and analysis of documents and secondary sources.
Espécies do gênero Eimeria Schneider, 1875, (Apicomplexa: Eimeriidae) parasitos de caprinos leiteiros no município de Afonso Bezerra, Rio Grande do Norte
Authors:   , Avelino Danielly Bezerra
Published: January 2025

As parasitoses gastrintestinais têm se constituído em um sério obstáculo à
caprinocultura, com ênfase para a eimeriose considerada fator limitante para a exploração
desses animais. Assim, espécies do gênero Eimeria foram estudadas em caprinos leiteiros em
uma unidade produtiva do município de Afonso Bezerra, Rio Grande do Norte, no período de
março de 2008 a fevereiro de 2009. Das 600 amostras de fezes examinadas tanto as fêmeas
caprinas jovens como as adultas, apresentaram positividade em relação à presença de Eimeria,
com frequência respectivamente, de 62,2% e 37,8%. Baseando-se na morfometria dos
oocistos esporulados foram identificadas nove espécies do gênero Eimeria com uma maior
frequência da E. ninakolhykimovae (28,42%) nos jovens, distintamente dos adultos, onde se
destacou a E. apsheronica (26,66%). Ademais, também foram identificadas a E. alijevi,
E.arloingi, E. hirci, E. jolchijevi, E. christenseni, E. caprovina e E. caprina. Com relação ao
efeito da fase de desenvolvimento do hospedeiro nas medidas morfométricas do oocisto e
esporocisto, as espécies E. alijevi, E. arloingi e E. ninakolhykimovae apresentaram efeito
significativo (P<0,01) para os diâmetros maior e menor do oocisto e esporocisto. Já a espécie
E. hirci foi significativa (P<0,01) apenas para os diâmetros maior e menor do esporocisto.
Para a E. jolchijevi foi significativo (P<0,01) o diâmetro maior do esporocisto e para a
E.apsheronica, apenas o diâmetro menor do oocisto.
Natural Anticancer Drugs: Efficacy, Safety, and Future Challenges
Authors: Aljabali Alaa A. A. , Bashatwah Rasha M. , El-Tanani Mohamed , Tambuwala Murtaza M.
Published: January 2025

The investigation of naturally derived anticancer drugs has gained prominence
in cancer therapy research. Within a broad context, this review seeks to elucidate
the molecular foundations and diverse mechanisms underlying these compounds to understand
their pivotal role in advancing effective interventions. Additionally by employing
a systematic approach, this study examined the interplay between cellular components,
signaling pathways, and genetic factors, providing valuable insights into the regulatory
networks governing the efficacy of these drugs. Categorization based on sources
(plants, animals, marine organisms, and microbes) revealed unique bioactive constituents
and therapeutic potential. Mechanistic investigations have revealed the ability
of these compounds to induce apoptosis, inhibit angiogenesis, modulate metabolic processes,
stimulate the immune system, and arrest the cell cycle. This overview encompasses
both approved drugs and those undergoing clinical trials, highlighting their heightened
efficacy and reduced toxicity compared to their synthetic counterparts. However,
challenges persist in terms of standardization, quality control, and large-scale production.
In conclusion, this review examined the potential of naturally derived anticancer
drugs to contribute to advancements in cancer treatment and enhance patient outcomes.
In addition to their effectiveness, natural anticancer drugs are generally less toxic and
have fewer harmful side effects than conventional chemotherapies. This emphasizes the
need for continued research, collaborative efforts, and addressing the regulatory and intellectual
property challenges associated with natural products. This review provides a
balanced perspective on the mechanisms, advantages, and prospects.
Advancements in Managing Schizophrenia through Classical Approaches, Mechanisms, and Deep Brain Stimulation
Authors: Dhote Lokesh , Dewangan Hitesh Kumar
Published: January 2025

Schizophrenia is a heterogeneous neuropsychological disorder characterized by three distinct sets of
symptoms: positive, negative, and cognitive. It carries significant public health implications and is estimated
to affect up to 1% of the population. Despite extensive research, the underlying mechanisms of schizophrenia
are not entirely understood, and existing antipsychotic treatments have notable limitations. Firstly, these treatments are effective for only approximately half of the patients. Secondly, they primarily alleviate positive
symptoms such as misperceptions and thought disorders, which are core to the illness, while neglecting the
negative symptoms like flat affect and social withdrawal, as well as cognitive symptoms such as learning and
attention difficulties. Thirdly, these treatments come with significant neurofunctional and metabolic side effects, and in some cases, they can lead to issues like sexual dysfunction or agranulocytosis (in the case of
Clozapine (CLZ)). In this review, we delve into currently available treatments for schizophrenia, with the utilization of Deep brain stimulation techniques to overcome the limitations of antipsychotics. We also discuss the
major clinical trials for schizophrenia along with deep brain stimulation intervention.
Roles of C/EBPβ/AEP in Neurodegenerative Diseases
Authors: Guo Jing , Liu Xin-Yi , Yang Sha-Sha , Li Qiang , Duan Yang , Zhu Shan-Shan , Zhou Ke , Yan Yi-Zhi , Zeng Peng
Published: January 2025

In recent years, an increasing number of studies have shown that increased activation of
aspartic endopeptidases (AEPs) is a common symptom in neurodegenerative diseases (NDDs).
AEP cleaves amyloid precursor protein (APP), tau (microtubule-associated protein tau), αsynuclein (α-syn), SET (a 39-KDa phosphoprotein widely expressed in various tissues and localizes predominantly in the nucleus), and TAR DNA-binding protein 43 (TDP-43), and promotes their
aggregation, contributing to Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's
disease, multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), and frontotemporal dementia
(FTD) pathogenesis. Abundant evidence supports the notion that CCAAT/enhancer-binding protein
β (C/EBPβ)/AEP may play an important role in NDDs. Developing its small molecule inhibitors is
a promising treatment of NDDs. However, current research suggests that the pathophysiological
mechanism of the C/EBPβ/AEP pathway is very complex in NDDs. This review summarizes the
structure of C/EBPβ and AEP, their major physiological functions, potential pathogenesis, their
small molecule inhibitors, and how C/EBPβ/AEP offers a novel pathway for the treatment of
NDDs.
Molecular Modeling Studies and Synthesis of Isocryptolepine Derivatives as Antimalarial Using Docking, CoMFA, CoMSIA, and HQSAR
Authors: Pratap Shourya , Mittal Abhilasha , Parida Sambit Kumar
Published: January 2025

Background:

Our research highlights the synthesis of newer antimalarial compounds using
molecular modeling studies.

Objective:

The study investigates a series of isocryptolepine derivatives from previous literature, focusing
on their biological activities as antimalarial agents.

Methods:

Computational methods such as molecular docking and QSAR were employed to gain insights
into the interaction between the synthesized compounds and the target enzyme PfDHFR-TS.

Results:

Molecular docking studies helped to identify key binding interactions, supporting the design
of more effective compounds. Using CoMFA and CoMSIA, the study explored steric, electrostatic,
and hydrogen-bonding fields, providing a quantitative structure-activity relationship (QSAR) for 49
compounds.

Conclusion:

The CoMFA model yielded strong predictive r² values of 0.971, while the CoMSIA
model highlighted the significance of hydrophobic and hydrogen bond interactions. These findings
inform the design of novel isocryptolepine derivatives with improved antimalarial activity.
Predicting Membrane Protein Types Based on Fusing Information Feature and Ensemble Machine Learning Model
Authors: He Ping-an , Chen Shuyue , Su Pengcheng , Dai Qi
Published: January 2025

Background:

Membrane proteins participate in many physiological and biochemical
functions essential for cellular function. Identifying membrane protein types is a critical task in biology for studying the tertiary structure of membrane proteins.

Methods:

In this paper, a novel classification method is proposed to predict membrane protein types
based on the ensemble learning model, fusing protein sequence features and secondary structure information.

Result:

The performance for predicting the type of membrane proteins was improved compared
with other machine learning models.

Conclusion:

Utilizing multimodal features and machine learning methods can effectively predict
and classify membrane protein types.
Innovative Therapies and Strategies for Rheumatoid Arthritis
Authors: Kathoke Pallavi , Thombre Kalyani , Gupta Krishna Radheshyam , Umekar Milind Janrao
Published: January 2025

Background:

Rheumatoid arthritis (RA) is a chronic inflammatory disease that requires
early detection and treatment. Currently, we have three categories of slow-acting disease-modifying
antirheumatic drugs (DMARDs): (1) conventional synthetic (csDMARD), (2) biologic (bDMARD),
and (3) directed or targeted synthetic (tsDMARD).

Objective:

This review explores innovative therapeutic modalities for RA, discussing their potential
advantages and challenges. The objective is to assess the safety, efficacy, and feasibility of these
novel therapies to improve the quality of life for RA patients. Also, focus has been laid on
non-pharmacologic modalities in comparison to pharmacologic modalities.

Results:

This review discusses several innovative therapies for RA, including acrylamide derivatives,
coumarin derivatives, JAK1-selective inhibitors, monoclonal antibody adjuvants with
methotrexate, the pros, and cons of NRF2 activation as adjunctive therapy, glucocorticoids, bioactive
molecules, combination therapy, gene therapy, and other therapies. Each approach presents
unique advantages and challenges, reflecting the complexity of RA and the need for personalized
treatment strategies.

Conclusion:

Ongoing research and clinical trials are crucial for assessing the safety, efficacy, and
feasibility of these novel therapies. By overcoming the limitations of conventional treatments and
tailoring treatment approaches to individual patients, these innovative therapies have the potential
to enhance the quality of life for RA patients.
Cytotoxic Effects Of Lecaniodiscus Cupanioides (Planch.) Extract and Triterpenoids-derived Gold Nanoparticles On MCF-7 Breast Cancer Cell Lines
Authors: Magadani R , Ndinteh Derek Tantoh , Roux S. , Nangah Louisiane Patrick , Atangwho Item Justin , Uti Daniel Ejim , Alum Esther U. , Egba Simeon Ikechukwu
Published: January 2025

Background:

The prevalent disease known as breast cancer has a significant impact on both men's and
women's health and quality of life.

Aim:

The aim of this study was to explore the potential roles of Lecaniodiscus cupanioides (planch.) extract and
triterpenoid-derived gold nanoparticles (AuNPs) in cancer therapy, specifically targeting MCF-7 breast cancer
cell lines.

Methods:

Gold nanoparticles were synthesized utilizing triterpenoid (ZJ-AuNPs) and leaf extract from
Lecaniodiscus cupanioides (LC-AuNPs). Fourier transform infrared spectroscopy (FTIR), Dynamic light scattering (DLS), High-resolution transmission electron microscopy (HRTEM), and UV-vis spectroscopy were employed to characterize the nanoparticles. Additionally, the MTT assay was used to assess the impact of AuNPs on
cancer cell viability using MCF-7 breast cancer cell lines.

Results:

Analysis of ZJ-AuNPs and LC-AuNPs revealed DLS zeta potentials of -31.8 and -35.8 mV, respectively,
and a corresponding UV-vis absorption maxima at 540 and 550 nm. Also, the ZJ-AuNPs and LC-AuNPs had
respective zeta-sizes that ranged from 25.84 to 35.98 nm and polydispersive index values between 0.2360 and
0.773.Furthermore, the presence of the chemical groups -OH and -NH was shown to be necessary for the green
method of capping and reducing the gold nanoparticles. Nevertheless, a significant decrease in cell viability percentages was noted in the MTT experiment, accompanied by an increase in the quantity or concentration of the
nanoparticles for both ZJ-AuNPs and LC-AuNPs.

Conclusion:

Given the data obtained in this study, the biosynthesized ZJ-AuNPs and LC-AuNPs were shown to
possess potent cytotoxic effects on breast cancer cells. Hence, they may be valuable tools in the development of
new cancer chemotherapy drugs.
Sentiment Analysis of Movie and News: A Review
on Unbalanced Data Using Deep Learning with Abstract
Feature Extraction
Authors: Rana Shivani , Kanji Rakesh , Jain Shruti
Published: January 2025

This study assessed a sentiment analysis model using a BERT-based deep learning approach,
combined with a feedforward neural network (FFNN), designed to handle unbalanced datasets.
The model was evaluated on the Rotten Tomatoes movie review dataset and the 20 Newsgroups
dataset. Our method achieved an outstanding performance, with perfect accuracy of 100%
and minimal loss (0.001 training and 0.010 testing loss) on the Rotten Tomatoes dataset and similar
results on the 20 Newsgroups dataset. Key metrics, such as the Jaccard index, Hamming loss,
Cohen’s kappa, mean squared error, and Matthews correlation coefficient (MCC), demonstrated
its effectiveness, particularly in managing class imbalance and capturing nuanced sentiment variations.
Comparative analysis showed the proposed model to outperform existing methods, highlighting
its robustness and potential application in sentiment classification tasks across various textual
data domains.
Anti-HIV Treatment: History, Current Advances and Targets
Authors: Wasnik Apurva , Thombre Kalyani , Gupta Krishna Radheshyam , Umekar Milind Janrao
Published: January 2025

Human Immunodeficiency Virus (HIV) is a retrovirus that is well known to be the causative agent for acquired immunodeficiency syndrome. In this review, we discussed the HIV virus, its transmission, events that lead to AIDS, the historical aspect of its emer-gence, current prospects in antiretroviral drugs, and its evolution up until current treatment strategies. We have also discussed the recent research related to new molecules, which showed potent anti-HIV activity and have the potential to become a key targetfor drugde-velopment. New studies have explored novel drug target sites and the benefits of using ar-tificial intelligence and machine learning in drug discovery and design, leading to better results and advancements in treatment.
Hydrogel Formulation Containing Crocin Extract from Nyctanthes
Arbor-tristis and Bukuchiol-rich Extract from the Seeds of Psoralea
Corylifolia Exhibits Antiaging and Sunscreen Activity
Authors: Naik Archana Arvind , Patle Onika , Gadgoli Chhaya Harihar , Dhargalkar Amita
Published: January 2025

Background:

Bakuchiol is a meroterpene and is utilized in many cosmetic preparations
in the form of psoralea corylifolia as a substitute for retinoids. The calyx of Nyctanthes arbortristis
flowers is rich in carotenoids. The standardized ethanolic extract of the calyx indicated the
presence of a yellow-orange colour pigment, which was found identical to crocin, an apocarotenoid
present in saffron. Hence, orange-coloured tubular calyx of Nyctanthes arbortristis can be
utilized as a substitute for saffron.

Objective:

To utilize the tubular calyx of Nyctanthes arbortristis as an economical source of
crocin and Psoralea corylifolia seed as a source of bakuchiol for the development of a stable
hydrogel formulation as well as evaluation of its antiaging activity and sunscreen property.

objective:

To utilize the tubular calyx of Nyctanthes arbor- tristis as an economical source of crocin and Psoralea corylifolia seed as a source of bakuchiol, for the development of a stable hydrogel formulation as well as evaluation of its antiaging activity and sunscreen property.

Methodology:

Crocin-rich ethanolic extract calyx of Nyctanthes arbortristis was prepared using
the maceration method. The seeds of Psoralea corylifolia were extracted using petroleum ether
(60-80) using a Soxhlet extractor. Hydrogel formulation was prepared using crocin-rich extract
and bakuchiol-rich extract. Evaluation of formulation was carried out, and results were found to
be within the specification range. The antiaging activity was evaluated using an in vitro antielastase
method. The formulation exhibits good antiaging activity. The sunscreen activity was assessed
using the sun protection factor and boot star rating.

Results:

The hydrogel formulation showed promising antiaging activity by inhibiting collagenase
and elastase enzymes. The formulation showed an SPF of 13.72 and a Boot Star rating of 2,
indicating it is an effective sunscreen agent. Also, the formulation was found to be a good moisturizing
agent. The present study concluded that crocin and bakuchiol extract formulations effectively
combat ageing process and also act as good sunscreen agents.

Conclusion:

The topical hydrogel formulation demonstrated promising anti-aging properties and
moderate UV protection.

conclusion:

Hydrogel formulation was found to have moderate UV protection and good antiaging activity on skin.
Assessment of Intern Medical Students and Emergency Medicine Residents’ Skill Levels in Interpreting Lung CT Scans of Patients with COVID-19 at the AJA Teaching Hospitals
Authors: Parsa Tirgar Tabari , Mohammad Darvishi , Laripour Reza , Moradi Hamid , Asadi Zahra Sadat , Hejripour Zia , Sabet Mehrdad Nasrollahzadeh
Published: January 2025

Background:

The lung CT scan is one of the most important methods for identifying patients with COVID-19. The skill of doctors to interpret CT scan results is very important for disease
control and prevention of its serious complications. Therefore, this study was conducted to determine
the skill level of intern medical students and emergency medicine residents in interpreting the lung
CT scans of patients with COVID-19.

Method:

The present cross-sectional study was conducted on 100 intern medical students and emergency medicine residents in AJA teaching hospitals in Tehran in 2019. In this study, each participant
was given 10 lung CT scans from patients with COVID-19 to interpret. The sex, academic year of
the students, and the type of students (intern medical students and emergency medicine residents)
were recorded. The mean score of the correct interpretation of the participants was calculated. Then,
Chi-square tests or Fisher's exact test, one-way analysis of variance or Kruskal–Walli’s test, and
independent t-test or Mann-Whitney test were used to analyze the data. All analyses were performed
in Excel and SPSS16 software. All p-values were two-tailed, and the significance level was set at
0.05.

Results:

In the present study, 61% of the participants were male, and 84% were intern medical students. The mean correct interpretation score of lung CT-scan results was 53.16±24.07, and the skill
level of correct interpretation of 54% of students was moderate. Also, there was no statistically significant difference between sex, academic year of the students, and the type of student with the mean
of correct interpretation scores.

Conclusion:

Given that the skill level in interpretation of lung CT scan results among students was
moderate, implementation of targeted interventions, including training courses for intern medical
students and emergency medicine residents, is needed to increase their skills in correct interpretation
of CT scan results.
Analysis of the Impacts of Socioeconomic Conditions on the Dropout Statuses of High School-Level Students in Malang City
Authors: Sari Mulia , Fadjar Nurman Setiawan
Published: January 2025

This research examines the impact of socioeconomic conditions on dropout statuses at the high school level in Malang City. The study aims to fill the gap in understanding the factors influencing high school dropout rates by analyzing the relationship between various socioeconomic variables and the likelihood of students dropping out. Using logistic regression and firthlogit models, data from several districts in Malang City were analyzed to identify significant predictors such as parental education level, parental completeness, parental income, child employment status, and recipient status of the Indonesia Smart Program (PIP). The results show that low parental income and child employment status significantly increase the likelihood of students dropping out. In contrast, higher parental education levels, parental completeness, and PIP recipient status tend to lower the dropout risk. This research concludes that targeted policy interventions are needed to mitigate these risks. The implications contribute to educational policy, highlighting the importance of sustained financial and social support for students from low-income families.
 
Abstrak
Penelitian ini mengkaji dampak kondisi sosial ekonomi terhadap status putus sekolah pada tingkat SMA di Kota Malang. Penelitian ini bertujuan untuk mengisi kesenjangan dalam memahami faktor-faktor yang mempengaruhi angka putus sekolah dengan menganalisis hubungan antara berbagai variabel sosial ekonomi dan kemungkinan siswa putus sekolah. Dengan menggunakan regresi logistik dan model firthlogit, data dari beberapa kabupaten di Kota Malang dianalisis untuk mengidentifikasi prediktor yang signifikan seperti tingkat pendidikan orang tua, kelengkapan orang tua, pendapatan orang tua, status pekerjaan anak, dan status penerima Program Indonesia Pintar (PIP). Hasilnya menunjukkan bahwa rendahnya pendapatan orang tua dan status pekerjaan anak secara signifikan meningkatkan kemungkinan siswa putus sekolah. Sebaliknya, tingkat pendidikan orang tua yang lebih tinggi, kelengkapan orang tua, dan status penerima PIP cenderung menurunkan risiko putus sekolah. Penelitian ini menyimpulkan bahwa diperlukan intervensi kebijakan yang tepat sasaran untuk memitigasi risiko-risiko tersebut. Implikasinya berkontribusi pada kebijakan pendidikan, menyoroti pentingnya dukungan finansial dan sosial yang berkelanjutan bagi siswa dari keluarga berpenghasilan rendah.
Fragile Futures: How Socioeconomic Factors Shape Severe Wasting in Toddlers
Authors: Devitasari Amelia Putrie
Published: January 2025

This study examines the influence of socioeconomic factors on the prevalence of wasting among toddlers in Boyolali Regency during 2014–2023. Despite improvements in economic indicators such as Gross Regional Domestic Product (GRDP) and per capita income, progress in reducing wasting has lagged behind neighboring areas. Using multiple linear regression analysis, the study investigates the relationship between GRDP, poverty, food prices, per capita income, and the number of children on severe wasting rates. The study uncovers that poverty and food prices have a significant positive impact on wasting, while per capita income has a significant but negative impact, suggesting that increased income worsens wasting due to inequality and shifting consumption priorities. Whereas, GRDP and the number of children show no significant relationship with wasting. The study concludes that poverty and food prices require targeted interventions to address inequality and promote nutrition education. Policy implications include improving social assistance programs and enhancing access to quality food. This research contributes to understanding socioeconomic determinants of malnutrition and supports local government strategies to improve child nutrition.