bluuebunny/crossref_metadata_2025 huggingface dataset:
Etude sur les quatre premiers chapitres de la Vie de Henry Brulard
Authors:   Société d’Etudes Franco-coréennes, CHO Seongwoong
Published: August 2023

La Vie de Henry Brulard de Stendhal n'est pas écrit en revenant sur sa vie de façon chronologique. Dans le premier chapitre, en parcourant l'espace symbolique de Rome, après avoir médité sur la vie et la mort, l'éternité de l'art, Stendhal aborde la question de sa propre identité. Au chapitre 2, après avoir rappelé les 13 femmes qu'il aimait, il retrace les moments importants de sa vie. Dans le chapitre 3, Stendhal traite enfin des souvenirs de naissance et d'enfance, et décrit le bonheur de l'enfance avec la mère. Au chapitre 4, il révèle la mort de la mère et la fin du bonheur éphémère sur terre, les notions de la compréhension de la mort et de l'éternité de l'oeuvre.
Dans cette étude, en me concentrant sur les chapitres 1 à 4, je voudrais interroger la stratégie d'écriture et la vision de l'art de Stendhal. Si l'autobiographie de Stendhal a beaucoup fait parler d'elle en termes d'authenticité, de reconstruction du temps et de travail de recherche sur le temps perdu, de critique psychanalytique et psychocritique, il n'y a pas de recherche sur la stratégie d'écriture. Cette étude est considérée comme un travail important dans l'étude de Stendhal.
Hangang School’s Research Status, Achievements and Tasks
Authors:   The Society for Asian Philosophy in Korea, Chu NaJin
Published: August 2023

Hangang Jeong Gu can be considered a representative Yeongnam regions’s scholar of the late sixteenth and early seventeenth centuries. He was a scholar who followed in the footsteps of both Emperor Lee Hwang and Jo Sik, and developed his studies especially in the fields of psychology and art. He was a scholar who inherited from the scholastic mantle of Lee Hwang and Jo Sik, and developed his own scholarship, especially focusing on study of mind and study of ritual. He was active mainly in the Yeongnam region centered on Seongju and Daegu. The Yeongnam region was located on the road to the Japanese invasion during the Japanese invasion of Korea in 1592 and directly suffered the damage. For this reason, after the Japanese invasion of Korea in 1592, those who led the righteous army activities in the Yeongnam region led the academic world, and among them, there were many figures of the Hangang School, including Jeong Gu. Studies on Jeong Gu have been accumulated for about 40 years, starting in 1985, and are being studied in various fields such as literature, history, and philosophy. And as the research on Jeong Gu progressed, the Hangang School, which inherited the academic flow of Jeong Gu, was gradually studied. In this paper, research on the Hangang School is largely divided into four categories: the external appearance and status of the Hangang School, the aspect of academic transmission of Jeong Gu, the growth and expansion of the Hangang School, and the social practice of the Hangang School. First of all, the denotation and status of the Hangang School were examined through Hoiyeongeupmunjehyeonrok and Bongsanyokhangrok. Hoiyeongeupmunjehyeonrok is Jeong Gu’s literary record, which examines the overall scale and extension of the Hangang School, and through Bongsanyokhangrok, Jeong Gu’s academic influence at the time, as well as the bonds and solidarity within the school can be confirmed. And the aspect of Jeong Gu’s academic transmission was examined through Hangangeonhaeongrok, a collection of Jeong Gu’s words and actions. Through this, it is possible to confirm Jeong Gu’s academic thoughts passed down to the Hangang School. In addition, the growth and expansion of the Hangang School can be confirmed through the process in which a large number of second-generation and third-generation Confucian scholars in the Daegu region who were active at the time were absorbed into the Hangang School as Jeong Gu moved his lecture center from Seongju to Daegu and Chilgok. In addition, as one of the aspects of social practice of the Hangang School, it can be confirmed through the development of righteous armies activities during the Japanese invasion of Korea in 1592. Lastly, it contains contents about some tasks in the study of the Hangang School in the future.
Disgust as seen through Lao-tzu’s Thought: Focusing on the Correlative Thinking of the Dao
Authors:   The Society for Asian Philosophy in Korea, You JongYoung
Published: August 2023

The purpose of this study is to explore alternatives to disgust, which is a social problem today, based on Lao-tzu’s thought. Various discussions on how to approach the problem of hate have recently focused on legal aspects. However, in order to get to the root of the problem, we need a philosophical approach that can provide wisdom along with an understanding of the science of disgust. Among the various causes of hate, the process of generating and categorizing prejudice and discriminating against people based on certain criteria is one of the core elements of hate. Lao-tzu’s thought may offer a new way forward in this regard. Lao-tzu did not see the world’s constitution as a simple division of things into this and that, separated from their relationship to each other by a set of criteria. He also warned against trapping objects within specific concepts by talking about the limits of conceptualization. In this article, I will interpret Lao-tzu’s thought from a correlative standpoint and use it to derive an alternative to aversion based on the dimensions of ‘correlation’and ‘conceptualization’.
Inhibition of Steel Corrosion Rate in Sulfuric Acid Solution with Various Concentrations Using Soursop (Annona muricata L.) Leaf Extract Inhibitor
Authors:   Universitas Pertahanan RI,, Wulandari Tsaniyah , Asdim Asdim , Hafizah Mas Ayu Elita
Published: August 2023

Exploration of soursop leaf extract (Annona muricata L.) as one of the natural inhibitors against the corrosion process. The objective of this research is to determine the effect of the extract on inhibiting the corrosion rate of steel. The corrosion rate is determined by the decrease in the mass of the steel during immersion in various concentrations of sulfuric acid solutions, namely 0.01, 0.05, and 0.1 M, and optical microscopy will be used to analyze the corroded steel samples. This study consists of several stages: soursop leaf extraction, steel sample preparation, inhibitor solution and corrosive media preparation, immersion, and characterization. The extraction method is performed by maceration for 168 hours to obtain the extract. The highest corrosion inhibition efficiency obtained is 63.1% with the presence of 600 ppm inhibitor in 0.01 M sulfuric acid solution, while the lowest corrosion inhibition efficiency obtained is 14.8% with the use of 200 ppm inhibitor in 0.1 M sulfuric acid solution. The types of corrosion that occur on the steel surface are uniform corrosion and pitting corrosion.
FREI MANUEL DOS ANJOS E IMMANUEL KANT. SIMILARIDADES E DIFERENÇAS ENTRE DUAS LÓGICAS DO SÉCULO XVIII
Authors: Marques Lúcio Álvaro
Published: August 2023

A filosofia é filha do tempo e reflete a compreensão possível de deter- minado momento histórico. Embora isso pareça banal, não o é. Se a afirmação é justa, deve-se admitir que a filosofia segue o espírito do tempo (Zeitgeist ou a forma mentis) em que foi produzida. Isso torna-a mais próxima da compreensão resultante da pedagogia que a originou e da mentalidade reinante em certo tempo. Partindo da forma mentis que instituiu o ensino no Colégio Serenense no Mato Grosso e na Universidade de Königsberg na Prússia, investigamos dois grupos conceituais: o primeiro, referente à filosofia, ao pensamento e à verdade, e o segundo, à lógica, às ciências e ao método. Nesse sentido, fizemos um estudo comparado entre o Cursus Philosophicus (1756), de Frei Manuel dos Anjos, e o Manual dos cursos de Lógica Geral (1799-1800), de Immanuel Kant. Nesse estudo, a questão central é entender se as similaridades e diferenças entre os escritos dos dois filósofos permitem compreendê-los como escritos verdadeira- mente filosóficos ou se o Serenense seria representante apenas de uma filosofia precária, sem densidade, rala e de segunda mão.
Palavras-chave: Lógica geral. Cursus Philosophicus. Frei Manuel dos Anjos. Immanuel Kant.
THE PERSON AFTER DEATH IN HOLISTIC-CONFIGURATIONAL THEORY
Authors: Viana Wellistony Carvalho
Published: August 2023

The current debate between Thomists of the corruptionist view and the survivalist view revolves around the most appropriate interpretation of Thomas’ texts about the persistence of the person after death. The present article criticizes both views, and offers a new interpretation of Thomas which is capable of resolving the problem. However, the main scope of the paper consists in offering an alternative theory to the hylomorphic view of the person, and introduces a more adequate and coherent theoretical framework to make explicit the ontological status of the human being and their place in the world. The result will be the explication of the holistic-configurational theory of the person from structural- systematic philosophy that shows how the personal configuration persists after bodily death because of its intentional-systematic location in the whole of Being, determined by the prime facts intentionally coextensive with Being.
Keywords: Hylomorphic view. Survival of the person. Structural-systematic philosophy. Thomism.
QUANDO A FILOSOFIA ENLOUQUECE. EFEITOS DO NIILISMO EM ALGUMAS POSIÇÕES FILOSÓFICAS ATUAIS
Authors: Barreto Marco Heleno
Published: August 2023

BRAUNSTEIN, Jean-François. La philosophie devenue folle. Le genre, l’animal, la mort. Paris: Grasset, 2018. 400 p. ISBN 9782246811930
Physical Image Quality Metrics for the Characterization of X-ray Systems Used in Fluoroscopy-Guided Pediatric Cardiac Interventional Procedures: A Systematic Review
Authors: Nocetti Diego , Villalobos Kathia , Wunderle Kevin
Published: August 2023

Pediatric interventional cardiology procedures are essential in diagnosing and treating congenital heart disease in children; however, they raise concerns about potential radiation exposure. Managing radiation doses and assessing image quality in angiographs becomes imperative for safe and effective interventions. This systematic review aims to comprehensively analyze the current understanding of physical image quality metrics relevant for characterizing X-ray systems used in fluoroscopy-guided pediatric cardiac interventional procedures, considering the main factors reported in the literature that influence this outcome. A search in Scopus and Web of Science, using relevant keywords and inclusion/exclusion criteria, yielded fourteen relevant articles published between 2000 and 2022. The physical image quality metrics reported were noise, signal-to-noise ratio, contrast, contrast-to-noise ratio, and high contrast spatial resolution. Various factors influencing image quality were investigated, such as polymethyl methacrylate thickness (often used to simulate water equivalent tissue thickness), operation mode, anti-scatter grid presence and tube voltage. Objective evaluations using these metrics ensure impartial assessments for main factors affecting image quality, improving in the characterization fluoroscopic X-ray systems, and aiding informed decisions to safeguard pediatric patients during procedures.
Construction and application of CRISPR-mediated TBCK-Knockout system in multiple human and mouse cell models
Authors: WU JIN , ZHU JIANJUN , DYNKA ANDREW , CHANG JINGJIA , Zhang Xintong , JIANG JUN , LU GUANTING
Published: August 2023

Background: Mutations in TBCK can generate truncated TBCK protein aggregates that abolish the normal function of the gene. Alterations in TBCK function have been implicated in developmental and neurogenetic disorders, as well as the progression of certain forms of cancer. Despite TBCK's involvement in various human diseases, the underlying mechanism for cancer pathogenesis remains poorly understood.
Methods: To further explore loss of function mutations in TBCK, we introduced a CRISPR-mediated knockout system capable of deleting the human TBCK gene. Transcriptome analysis based on RNA-seq data was utilized to illustrate important roles of TBCK in cancer initiation and progression.
Results: The effectiveness of our targeted CRISPR knockout system (sgTBCK) was validated in multiple human cancer models, including PDAC MIAPaCa-2 and Fibrosarcoma HT1080. Our clear and straightforward workflow, detailed protocol, and schematic diagram for knocking out human TBCK via CRISPR can be applied to any gene of interest, which highlights the versatility, reproducibility, and user-friendliness of this approach. The application of our TBCK knockout system for transcriptome analysis showed TBCK's involvement in multiple hallmark cancer pathways, such as TNF-α signaling, Apoptosis, Hypoxia, P53, and Epithelial Mesenchymal Transition, emphasizing the importance of TBCK mutations in cancer initiation and progression.
Conclusions: We generated a straightforward workflow, detailed protocol, and schematic diagram for knocking out human TBCK via CRISPR and confirmed that the sgRNA against TBCK (GTTCGAGAAAGGAAACCTGTG) was specific for human TBCK. To date, this is the first report that has combined a CRISPR-Cas9 knockout system with transcriptome analysis to uncover potential mechanisms of TBCK in cancer progression.
Effectiveness of Low-Level Laser Therapy on the Wound Healing Process in Fibroblasts Isolated from Chronic Human Wounds
Authors: Phan Minh-Hoang , Nguyen-Thi Bich-Phuong , Dinh Van-Han , Nguyen Thi-Huong
Published: August 2023

This study aimed to evaluate the proliferation and migration of fibroblast cells derived from chronic wounds and investigate the impact of low-level laser therapy (LLLT) on their growth and migration. A total of 60 dermal samples were obtained from three sites of chronic pressure ulcers and diabetic ulcers in 20 patients. Following collection in the operating room, the dermal samples were isolated using the procedure described by Freshney RI. Fibroblasts from the wound base (Site 1) exhibited a slow proliferation rate and a decrease in proliferative capacity. Fibroblasts from wound margins (Site 2) and adjacent healing skin (Site 3) could be successfully isolated and maintained for multiple generations without any morphological changes. Fibroblasts from chronic wounds at Sites 2 and 3 showed slower proliferation rates and reduced migration capabilities compared to normal dermal fibroblasts (control samples). The fibroblast cells were exposed to LLLT at different energy levels (2.5, 3, and 3.5 J/cm2). The laser-treated groups demonstrated a significantly higher increase in cell count compared to the control sample, with the highest increase observed at an energy level of 3 J/cm2. These findings suggest that LLLT at an energy level of 3 J/cm2 could effectively enhance fibroblast migration, indicating its potential as a therapeutic intervention for chronic wounds.
A Sub-second Method for SAR Image Registration Based on Hierarchical Episodic Control
Authors: Zhou Rong , Wang Gengke , Xu Huaping , Zhang Zhisheng
Published: August 2023

For Synthetic Aperture Radar (SAR) image registration, successive processes following feature extraction are required by both the traditional feature-based method and the deep learning method. Among these processes, the feature matching process—whose time and space complexity are related to the number of feature points extracted from sensed and reference images, as well as the dimension of feature descriptors—proves to be particularly time-consuming. Additionally, the successive processes introduce data sharing and memory occupancy issues, requiring an elaborate design to prevent memory leaks. To address these challenges, this paper introduces the OptionEM-based reinforcement learning framework to achieve end-to-end SAR image registration. This framework outputs registered images directly without requiring feature matching and calculation of the transformation matrix, leading to significant processing time savings. The Transformer architecture is employed to learn image features, while a correlation network is introduced to learn the correlation and transformation matrix between image pairs. Reinforcement learning, as a decision process, can dynamically correct errors, making it more efficient and robust compared to supervised learning mechanisms like deep learning. We present a hierarchical reinforcement learning framework combined with episodic memory to mitigate the inherent problem of invalid exploration in generalized reinforcement learning algorithms. This approach effectively combines coarse and fine registration, further enhancing training efficiency. Experiments conducted on three sets of SAR images, acquired by TerraSAR-X and Sentinel-1A, demonstrate that the proposed method’s average runtime is sub-second, achieving subpixel registration accuracy.
Polymer Hydrogels and Frontal Polymerization: A Winning Coupling
Authors: Malucelli Giulio , Mariani Alberto
Published: August 2023

Polymer hydrogels are 3D networks consisting of hydrophilic crosslinked macromolecular chains, able to swell and retain water. Since their invention in the 1960s, they have become an outstanding pillar in the design, development, and application of engineered polymer systems suitable for biomedical and pharmaceutical applications (such as drug or cell delivery, regeneration of hard and soft tissues, wound healing, and bleeding prevention, among others). Despite several well-established synthetic routes of polymer hydrogels based on batch polymerization techniques, about fifteen years ago academia started to look for alternative methods involving simpler reaction paths, shorter reaction times, and lower energy consumption. In this context, frontal polymerization (FP) undoubtedly has become an alternative and efficient reaction model that allows for converting monomers into polymers via a localized and propagating reaction, by exploiting the formation and propagation of a “hot” polymerization front, able to self-sustain and propagate throughout the monomeric mixture. Therefore, the present work aims to summarize the main research outcomes, achieved during the last years, concerning the design, preparation, and application of FP-derived polymeric hydrogels, demonstrating the feasibility of this technique for the obtainment of functional 3D networks, and providing the reader with some perspectives for the forthcoming years.
Health Impacts of Mercury Toxicity on Fish in an Aquatic System
Authors: Omach Zadock , Odhiambo Bruno , Owoko Winnie
Published: August 2023

Mercury toxicity significantly threatens aquatic ecosystems, particularly impacting fish populations and human well-being. This article exposes the effects of mercury contamination on aquatic life and their habitats. Mercury primarily originates from natural degassing and anthropogenic activities and accumulates in aquatic organisms, most notably in predatory fish, through bio-accumulation and bio-magnification. This bio-accumulation, driven by microbial transformation to methyl-mercury, leads to elevated concentrations in top-level predators. The consequences of mercury exposure on fish physiology are stunted growth, reproductive impairments, and compromised immunity, with potential ramifications for population dynamics and ecosystem resilience. This study delves into specific impacts of mercury on fish, ranging from bone deformities to liver damage, developmental anomalies, neurotoxic effects, and disruptions in reproductive systems. The interplay between ecological, physiological, and human health effects underscores the need for a comprehensive understanding of mercury's underlying mechanisms. Monitoring mercury levels in aquatic systems emerges as a crucial strategy for ensuring fish populations' health and ecosystems' sustainability. Urgent collaborative efforts are imperative to address this global concern, promote harmonious coexistence between human activities and aquatic environments, and secure the availability of safe and nutritious fish for future generations. In conclusion, this article highlights the urgent necessity for targeted interventions and informed decision-making to mitigate the influence of mercury contamination on aquatic ecosystems.
Short Bowel Syndrome: life–Saving Parenteral Nutrition for 4 Months - A Clinical Case and Literature Review
Authors: Švagždys Saulius , Smolskaitė Ieva , Vindžigalskytė Rūta
Published: August 2023

Short bowel syndrome (SBS) in adults is defined as having less than 180 to 200 cm of remaining small bowel [1–4]. Many literature sources do not provide precise epidemiological data, challenges in estimating the prevalence of SBS include its multifactorial etiology and varying definitions [1–7]. The most common pathologies leading to SBS include Crohn disease, mesenteric ischemia, radiation enteritis, post-surgical adhesions, and post-operative complications [1,2,4–6]. In advanced SBS, parenteral nutrition may be required to ensure that all vital nutrients are delivered directly through the venous system, bypassing the gastrointestinal tract [1,8–10]. In this article, we present a clinical case of a patient who underwent parenteral nutrition for four months due to SBS. The surgical team performed reconstructive re-anastomosis of both the small and large bowel, leading to the discontinuation of parenteral nutrition and the resumption of a regular diet.
Management of Infant Flour Production in the City of Ouagadougou
Authors: BAYALA-YAI Léa Kilô Adam , NIKIEMA Philippe Augustin , OUEDRAOGO Windpanga Aristide , DEMBELE Ibrahim , NEBIE Zalissa , SIMPORE Jacques
Published: August 2023

In Burkina Faso, the infant flours produced are intended for weaning-age and malnourished children. This study was to evaluate the management of infant flour production in Ouagadougou. A survey was conducted among the production units to determine the raw materials used in the production of infant flours, the production processes, the methods of conservation of raw materials and infant flours, the types of infant flours produced as well as their packaging. The results showed that 45.45% of the production units surveyed were of the semi-industrial type against 54.54% from the artisanal and CREN types. Among the raw materials, the most used cereals were millet, sorghum and maize. As for legumes, peanuts and soybeans were the most used at respectively 35% and 31%. For the conservation of raw materials, 85.71% of infant flour producers had storage warehouses and 66% used storage pesticides. These flours produced were intended for children of wean age (37.14%) and children in nutritional recovery (62.86%). Flours were stored in an airy (94.29%), dry area/environment (88.57%) and in the presence of light (91.43%). All the results of this survey reflect that efforts are still expected to further improve the nutritional and sanitary quality of the infant flours produced.
Prioritizing Riverine Bridges Interventions: A Hydrological Multidimensional Approach
Authors: Huarca Pulcha Alan , Espinoza Vigil Alain Jorge , Booker Julian
Published: August 2023

Globally, bridges fail mostly due to hydrological causes such as scour or flooding. Therefore, under a hydrological approach, this study proposes a methodology that contributes to prioritize the intervention of bridges to prevent their collapse. Through an exhaustive literature review, an evaluation matrix subdivided into 4 dimensions was developed and a total of 18 evaluation parameters were considered, distributed as follows: 4 environmental, 6 technical, 4 social and 4 economic. This matrix was applied to eight bridges with a history of hydrological problems in the same river and validated through semi-structured interviews with specialists. Data were collected through field visits, journalistic information, review of the gauged basin historical hydrological flow rates and consultations with the population. Then, the modeling, which considered the influence of gullies that discharge additional flow, was carried out using HEC-HMS and HEC-RAS and subsequently calibrated. The application of the matrix revealed that five bridges have a high vulnerability, and three bridges have a medium vulnerability. The multidimensional approach can be adapted for studies of other riverine bridges.
Graphene-Based Nanomaterials: Uses, Environmental Fate and Human Health Hazards
Authors: du Preez Heidi N. , Halma Matthew
Published: August 2023

Graphene-based nanoparticles possess remarkable physiochemical properties, making them promising for diverse applications in biomedicine, agriculture, food, and industrial applications. These nanoparticles have also been used in the fight against COVID-19. Human and environmental exposure to graphene-based nanomaterials is increasing at an unprecedented rate. However, there is still a huge knowledge gap regarding its safety in clinical applications. The topic remains controversial; although several routes of degradation exist, the cytotoxicity of graphene-based nanoparticles has been demonstrated. Various factors that can influence the cytotoxicity of graphene-based materials are discussed. This review summarizes the physiochemical properties of graphene-based materials and critically examines the possible effects of graphene-based nanoparticles on the molecular level and adverse health outcomes. While oxidative stress-mediated cell damage has been proposed as a primary cytotoxicity mechanism for graphene-based materials, various in vivo biodistribution and cytotoxicity mechanisms are also highlighted. Therefore, this review of the literature provides an overview of the cytotoxicity of GBMs and raises concerns about their widespread application with potential hazardous consequences on the environment and human health.
Human Perceptions Based on Translations of Recurrent Neural Networks Principles for Low Latency Applications
Authors: Pashike Venkat Reddy Raj , SINGAM AMITESH KUMAR , Shahid Muhammad
Published: August 2023

The Necessity of Human resources beyond perception of human understanding towards the Evaluation of video quality or Data screening methodology is conducted based on human perception level since it is concerned with how visual content is perceived by a observer based on observations with his/ her perception on a particular video sequence. Therefore, we considered that the subject has to grade the encoded video sequences under certain test environment conditions based on ITU-Recommendations. Since Human perception is considered as the true judgment and precise measurement of visual content, data screening has became quite essential and quite comfortable to general public due to introduction of User Experience (UX) concept by User Experience community. User Experience is an concept based on translations of A recurrent neural network which is mostly used algorithm based on certain principles, for instance we considered natural language processing and moreover recurrent neural networks is adaptable towards understanding sequential data and use patterns to predict the consistency within observers by invited subjects for quality assessment. In our research, we adapted principles based on Recurrent Neural Networks while assuming consistency within observers for predicting video quality within data screening environment towards subjective experiments. Moreover, this research work explores the tradeoffs between Human perception on visual content and consistency of observations within individual observer.
Using Machine Learning to Identify the Risk Factors of Pancreatic Cancer from the NIH PLCO Dataset
Authors: Dutta Ananya
Published: August 2023

Background: Pancreatic cancer (PC) is a disease with poor prognosis and survival rate. There is a pertinent need to identify the risk factors of this disease. The purpose of this study is to identify a subset of factors (a.k.a. features) as predictors of PC from the Prostate, Lung, Colorectal and Ovarian (PLCO) cancer dataset consisting of responses to 65 questions about demographics, cancer and health history, medication usage, and smoking habits from 154,897 participants. Method: There are two challenges to selecting the subset of features that predict PC with highest probability: the problem is computationally intractable, and the PLCO dataset is highly imbalanced. We use an innovative method to use the dataset in a balanced way, without involving up- or down-sampling. We use nine feature selection methods to select the optimal subset of features from the preprocessed and balanced dataset. Results: Our preprocessed dataset consists of 32 risk factors (8 demographics, 5 cancer history, 13 health history, 2 medication usage, 4 smoking habits). Risk factors belonging to cancer and health history, followed by smoking habits, were consistently chosen by the feature selection methods. We also discuss findings in the medical sciences literature that corroborate our findings. Conclusions: The study found that risk factors belonging to cancer and health history are the most prominent ones for PC. In particular, previously diagnosed with PC is chosen as the most prominent risk factor by majority of methods. While most of our findings are consistent with the literature, some of our findings shed light on novel factors that may not have received their due attention by the research community.
Metal-Organic Frameworks Based Multifunctional Materials for Solar Cells: A Review
Authors: Do Ha Huu , Kim Soo Young
Published: August 2023

Developing low-cost and stable materials for converting solar energy into electricity is vital in meeting the world's energy demand. Metal-organic frameworks (MOFs) have gained attention for solar cells due to their natural porous architectures and tunable chemical structures. This review commences with an exploration of the synthetic methods of MOFs. Moreover, we discuss the various roles of MOFs, including photoanodes and counter electrodes in dye-sensitized solar cells and interfacial layers and charge carriers in perovskite solar cells. Ultimately, burdensome tasks and possible directions for advancing MOFs-based nanomaterials are provided for solar cells.
The Implied Views of Bond Traders on the Spot Equity Market
Authors: He Yifan , Hu Yuan , Rachev Svetlozar
Published: August 2023

By using the Black-Derman-Toy (BDT) model, we predict the future trend of the riskless rate, and then we build an equation that relates the market price of zero-coupon bonds and the theoretical price of zero-coupon bonds calculated using a binomial option pricing model. Based on this, we can find the implied daily return μ, implied natural upturn probability p, and implied daily volatility σ with respect to different time-to-maturity values of zero-coupon bonds. With these results, we can give some suggestions to bond traders.
Enhanced Clustering and Indoor Movement Path Generation from Wi-Fi Fingerprint Data Using Bounding Boxes and Grid Cells
Authors: Shin Hong-Gi , Lee Daesung , Hwang Chi-Gon , Yoon Chang-Pyo
Published: August 2023

Recently, various applications of indoor location-based services using Wi-Fi fingerprint data have been studied. However, since fingerprint data collected at a specific location does not have continuous information between signals and correlation information between signals, path data cannot exist in principle. Therefore, most indoor positioning technologies are based on predicting the position of a stationary positioner at a specific location based on signal data collected at a specific location in the indoor space. Due to the discontinuous nature of these signals, they are unable to account for user movement. Therefore, there is a need for techniques to improve the accuracy of indoor positioning in moving situations. This paper proposes a method for enriching all data points with relevant information to obtain improved indoor positioning results and an improved technique for generating movement path data. The proposed technique generates relevant information with continuity by expressing data points as Bounding Boxes (BB) and subsequently clustering them using grid cells. Through the proposed method, we represented and expanded the indoor location data, which consists of data points, as BB. However, data points represented by BB do not have any adjacency information with each other, and as a result, it is not possible to create a movement path between neighboring BB. To solve the problem, we used clustering, a machine learning technique that categorizes data points into groups, to group BBs. This was done by constructing a YOLO (You Only Look Once) grid cell that included all BBs and clustered them into grid cells that were divided into specific regions through the suggestion phase. The clustering results align with the indoor structure of the building, indicating that the data points have been appropriately clustered. BBs inside a grid cell are contained within a moveable area and have related information. We also generated association information between neighboring grid cells through the proposal technique, and then generated path information that can be traveled between grid cells. In this paper, we use the movement path information generated from a dataset as training data for machine learning, and through this, we propose an enhanced indoor positioning technology.
Computational Discovery of Marine Molecules of the Cyclopeptide Family with Therapeutic Potential
Authors: Flores-Holguín Norma , Salas-Leiva Joan Sebastian , Glossman-Mitnik Daniel
Published: August 2023

Stellatolides are natural compounds that have shown promising biological activities, including antitumor, antimicrobial, and anti-inflammatory properties, making them potential candidates for drug development. Chemical Reactivity Theory (CRT) is a branch of chemistry that explains and predicts the behavior of chemical reactions based on the electronic structure of molecules. Conceptual Density Functional Theory (CDFT) and Computational Peptidology (CP) are computational approaches used to study the behavior of atoms, molecules, and peptides. In this study, we present the results of our investigation of the chemical reactivity and ADMET properties of Stellatolides A-H using a novel computational approach called Conceptual DFT-based Computational Peptidology (CDFT-CP). Our study uses CDFT and CP to predict the reactivity and stability of molecules and to understand the behavior of peptides at the molecular level. We also predict the ADMET properties of the Stellatolides A-H to provide insight into their effectiveness, potential side effects, and optimal dosage and route of administration. This study sheds light on the potential of Stellatolides A-H as promising candidates for drug development and highlights the potential of CDFT-CP for the study of other natural compounds and peptides.
Enhancing Energy Efficiency in Connected Vehicles for Traffic Flow Optimization
Authors: Shahbazi Zeinab , Nowaczyk Sławomir
Published: August 2023

The predominance of traffic lights in urban settings often induces fluctuations in traffic patterns and energy utilization among vehicles. To counteract the adverse effects of traffic lights on the energy efficiency of electric vehicles (EVs), a Multi-Intersections-Based Eco-Approach and Departure strategy (M-EAD) is proposed. This strategy aims to enhance vehicle energy efficiency, traffic flow, and battery longevity, all while upholding satisfactory driving comfort. The M-EAD strategy unfolds in two distinct stages: the optimization of an eco-friendly green signal window and the refinement of speed trajectories. The initial stage tackles the optimization of traffic light green signal windows, underpinned by the minimization of travel delays via solving the shortest path problem. In the subsequent stage, a receding horizon framework takes center stage, leveraging an iterative dynamic programming algorithm to tackle the speed optimization challenge. The objective here is to curtail energy consumption and reduce battery wear by finding an optimal speed trajectory. Furthermore, the real-world efficacy of this approach is substantiated through on-road vehicle tests, attesting to its viability in actual road scenarios.
Salt Intake Estimation from Urine Samples in South Asian Population: Scoping Review
Authors: Afroza Ummay , Abrar Ahmad Khairul , Nowar Abira , Akhtar Jubaida , Al Mamun Mohammad Abdullah , Sobhan Sheikh Mohammad Mahbubus , Cobb Laura , Ide Nicole , Choudhury Sohel Reza
Published: August 2023

According to WHO, reducing salt intake to less than 5 g/day means less death, disability, and suffering from heart disease and stroke, with around 1.89 million lives saved every year. In this scoping review, we have reviewed the salt consumption pattern of South Asia. For this purpose, we searched online databases and websites and consulted key informants to address relevant unpublished reports. The inclusion criteria are English-language publications between January 2011 and October 2021, as well as research that evaluated salt intake in the South Asian region and reported salt/sodium 24-hr urine or spot urine samples involving at least 100 participants. A total of 2043 studies were screened, out of which 12 studies fulfilled all the criteria. Our review revealed that reported salt intake in the South Asian region ranges from 6.7-13.3 g/day, which was higher than the WHO-recommended maximum level of 5 g/day in all countries. Men consumed more salt than women. This review demonstrates the critical importance of implementing a salt reduction program in South Asian countries.
The Role of Non-Coding RNAs in Myelodysplastic Neoplasms
Authors: Georgoulis Vasileios , Koumpis Epameinondas , Hatzimichael Eleftheria
Published: August 2023

Myelodysplastic syndromes or neoplasms (MDS) are a heterogeneous group of myeloid clonal disorders characterized by peripheral blood cytopenias, blood and marrow cell dysplasia and an increased risk for evolution to acute myeloid leukemia (AML). Non-coding RNAs, especially microRNAs and long non-coding RNAs serve as regulators of normal and malignant hematopoiesis and have been implicated in carcinogenesis. This review will present a comprehensive summary of the biology and role of non-coding RNAs, including the less studied circRNA, siRNA, piRNA, and snoRNA as potential prognostic and/or predictive biomarkers or therapeutic targets in MDS.
Cognitive Performance during the Development of Diabetes in the Zucker Diabetic Fatty Rat
Authors: Spoelder Marcia , Bright Yami , Morrison Martine C. , Van Kempen Veerle , De Groodt Lilian , Begalli Malvina , Schuijt Nikita , Kruiger Eva , Bulthuis Ronald , Gross Gabriele , Kleemann Robert , Van Diepen Janna , Homberg Judith R.
Published: August 2023

Increased insulin levels may support the development of neural circuits involved in cognition, while chronic mild inflammation may also result in cognitive impairment. This study aimed to gain more insight into whether cognition is impacted already during adolescence in a genetic rat model for obesity and type 2 diabetes. Cognitive functioning throughout adolescence and early adulthood was investigated in Zucker Diabetic Fatty (ZDF), ZDF lean and healthy outbred Long Evans rats using operant touchscreens. Blood glucose, insulin and lipids were longitudinally analyzed. Histological analyses were performed in the liver, white adipose tissues and the prefrontal cortex. Adolescent ZDF obese rats outperformed lean rats on visual discrimination performance. During the longitudinal cognitive testing period, insulin levels sharply increased over weeks in ZDF obese rats and were significantly enhanced from 6 weeks of age onwards. Early signs of liver steatosis and enlarged adipocytes in white adipose tissue were observed in ZDF early adult obese rats. Histological analyses at early adulthood showed no group differences in the number of prefrontal cortex neurons and microglia, nor PSD95 and SIRT1 mRNA expression levels. Together, our data show that adolescent obese ZDF rats even display enhanced cognition despite their early diabetic profile.
Design and Optimization Strategies for Flexible Qua-si‑Solid‑State Thermo-Electrochemical Cells
Authors: Huo Bingchen , Kuang Fengxia , Guo Cun-Yue
Published: August 2023

Currently, efficient utilization of low-grade thermal energy is a great challenge. Thermoelectricity is an extremely promising method of generating electrical energy from temperature differences. As a promising energy conversion technology, thermo-electrochemical cells (TECs) have attracted much attention in recent years for their ability to convert thermal energy directly into electricity with high thermal power. Within TECs, anions and cations gain and lose electrons, respectively at the electrodes using the potential difference between the hot and cold terminals of the electrodes by redox couples. Additionally, the anions and cations therein are constantly circulating and mobile via concentration diffusion and thermal diffusion, providing an uninterrupted supply of power to the exterior. This review article focuses mainly on the operation of TECs, recent ad-vances in redox couples, electrolytes, and electrodes. The outlook for optimization strategies re-garding TECs is also presented in this paper.
Chat GPT in Diagnostic Human Pathology: Will It Really Be Useful to the Pathologist?
Authors: Cazzato Gerardo , Capuzzolo Marialessandra , Parente Paola , Arezzo Francesca , Loizzi Vera , Marzullo Andrea , Cormio Gennaro , Ingravallo Giuseppe
Published: August 2023

Abstract: The advent of Artificial Intelligence (AI) has in just a few years invested multiple areas of knowledge, also affecting the medical-scientific sector. An increasing number of AI-based applications have been developed, among which conversational AI has emerged. Among these, ChatGPT has risen to the headlines, scientific and otherwise, for its distinct propensity to simulate a 'real' discussion with its interlocutor, based on appropriate prompts. Although several clinical studies using ChatGPT have already been published in the literature, very little has yet been written about its potential application in human pathology. We conduct a systematic review following the Preferred Reporting Items for Systematic Re-views and Meta-Analyses (PRISMA) guidelines, using PubMed and Scopus as databases, with the fol-lowing keywords: ChatGPT OR Chat GPT, in combination with each of the following: Pathology, di-ag-nostic pathology, anatomic pathology. A total of 90 records were initially identified in the literature search, of which 6 were duplicates. After screening for eligibility and inclusion criteria, only 5 publications were ultimately included. The majority of publications were original articles (n = 2), followed by case reports (n = 1), letter to the editor (n = 1) and review (n = 1). Although the premises are exciting and ChatGPT is able to co-advise the pathologist in providing large amounts of scientific data for use in routine microscopic diagnostic practice, there are many limitations that need to be addressed and resolved, with the caveat that an AI-driven system should always provide support and never a decision-making motive during the anatomo-pathological diagnostic process.
Two-fold ND5 genes, three-fold control regions, lnc RNA, and the “missing” ATP8 were surprisingly found in the mitogenomes of Polypedates megacephalus (Rhacophridae: Polypedates)
Authors: Cai Lin-Na , Zhang Li-Hua , Lin Yi-Jie , Wang Jing-Yan , Storey Kenneth B. , Zhang Jia-Yong , Yu Dan-Na
Published: August 2023

In this study, we resequenced the mitogenomes of P. megacephalus from different regions using a “primer bridging” approach with Sanger sequencing technologies. The mitogenome of this species was found to contain two copies of the ND5 genes and three copies of the control regions. Furthermore, multiple tandem repeats were identified in the control regions. Notably, we observed that there was no correlation between the distribution of species and their genetic distance. However, our research revealed the discovery of the “missing” ATP8 gene in P. megacephalus as well as three other previously published Polypedates, as a result of manual data curation. Using the mitogenome, gene expression analysis was performed via RT-qPCR of liver samples and determined that COIII, ND2, ND4, and ND6 were reduced to 0.64±0.24, 0.55±0.34, 0.44±0.21 and 0.65±0.17 under the low-temperature stress (8℃), respectively, as compared with controls (P<0.05). Remarkably, the transcript of long non-coding RNA (LncRNA) between positions 8029 and 8612 decreased significantly with exposure to low-temperature stress (8℃). Antisense ND6 gene expression showed a downward trend but this was not significant. These results reveal that modulations of protein-coding mitogenomes genes and lncRNAs of P. megacephalus play a crucial part in the molecular response to cold stress.
Circulating СD8+ T Cells Subsets in Primary Sjögren’s Syndrome
Authors: Kudryavtsev Igor , Benevolenskaia Stanislava , Serebriakova Maria , Grigor’yeva Irina , Kuvardin Evgeniy , Zammoeva Darina , Motorin Dmitri , Budkova Anna , Rubinstein Artem , Golovkin Alexey , Kalinina Olga , Zaikova Ekaterina , Lapin Sergey Vladimirovich , Maslyanskiy Alexey
Published: August 2023

Currently, multiple studies have indicated that CD8+ T lymphocytes play a role in causing damage to the exocrine glands through acinar injury in Primary Sjogren’s syndrome (pSS). The aim of this research was to assess the imbalance of subsets within CD8+ cells in peripheral blood. We examined blood samples from 34 patients with pSS and 34 healthy individuals as controls. We used flow cytometry to enumerate CD8+ T cell maturation stages using as markers CD62L, CD28, CD27, CD4, CD8, CD3, CD45RA, and CD45. For immunophenotyping of ‘polarized’ CD8+ T cell subsets we used the following monoclonal antibodies:CXCR5, CCR6,CXCR3 and CCR4. The findings revealed that both the relative and absolute numbers of 'naïve' CD8+ T cells were higher in pSS patients compared to the healthy volunteers. Conversely, the proportions of effector memory CD8+ T cells were notably lower. Furthermore, our data suggested that among patients with pSS, the levels of cytotoxic Tc1 CD8+ T cells were reduced, while the frequencies of regulatory cytokine-producing Tc2 and Tc17 CD8+ T cells were significantly elevated. Simultaneously, the Tc1 cell subsets displayed a negative correlation with immunoglobulin G, Rheumatoid factor, the Schirmer test, and unstimulated saliva flow. On the other hand, the Tc2 cell subsets exhibited a positive correlation with these parameters. In summary, our study indicated that immune dysfunction within CD8+ T cells, including alterations in Tc1 cells, plays a significant role in the development of pSS.
Cancer Metabolism as a Therapeutic Target and Review of Interventions
Authors: Halma Matthew TJ , Tuszynski Jack A , Marik Paul E
Published: August 2023

Cancer is amenable to low-cost treatments, given that it has a significant metabolic component, which can be effected through diet and lifestyle change at minimal cost. The Warburg hypothesis states that cancer cells have altered cell metabolism towards anaerobic glycolysis. Given this metabolic reprogramming in cancer cells, it is possible to target cancers metabolically by depriving them of glucose. In addition to dietary and lifestyle modifications which work on tumors metabolically, there are a panoply of nutritional supplements and repurposed drugs associated with cancer prevention, and better treatment outcomes. These interventions and their evidentiary basis are covered in the latter half of this review to guide future cancer treatment.