bluuebunny/crossref_metadata_2025_split huggingface dataset:
PMF-CPI: assessing drug selectivity with a pretrained multi-functional model for compound–protein interactions
Authors: Song Nan , Dong Ruihan , Pu Yuqian , Wang Ercheng , Xu Junhai , Guo Fei 
Published: October 2023

AbstractCompound–protein interactions (CPI) play significant roles in drug development. To avoid side effects, it is also crucial to evaluate drug selectivity when binding to different targets. However, most selectivity prediction models are constructed for specific targets with limited data. In this study, we present a pretrained multi-functional model for compound–protein interaction prediction (PMF-CPI) and fine-tune it to assess drug selectivity. This model uses recurrent neural networks to process the protein embedding based on the pretrained language model TAPE, extracts molecular information from a graph encoder, and produces the output from dense layers. PMF-CPI obtained the best performance compared to outstanding approaches on both the binding affinity regression and CPI classification tasks. Meanwhile, we apply the model to analyzing drug selectivity after fine-tuning it on three datasets related to specific targets, including human cytochrome P450s. The study shows that PMF-CPI can accurately predict different drug affinities or opposite interactions toward similar targets, recognizing selective drugs for precise therapeutics.Kindly confirm if corresponding authors affiliations are identified correctly and amend if any.Yes, it is correct.
Challenging treatment of food wastes for cleaner production after the African swine fever outbreak in South Korea
Authors: Moon Heesung , Kwon Junhwa , Choi Jeongwoo , Lee Dongjin , Seo Dong Cheol 
Published: October 2023

AbstractFood waste is a growing global concern, necessitating effective treatment solutions. South Korea stands out with over 90% of its food waste being recycled, driven by robust resource circulation policies. Across Asia, anaerobic digestion processes are favored for food waste treatment due to their economic and environmental advantages. The South Korean Government aims to expand anaerobic digestion to ensure stable organic waste treatment. However, the 2019 outbreak of African swine fever (ASF) in pig farms led to the cessation of wet feed production, comprising 22% of total feed. This has increased the pressure on alternative recycling methods. The handling of food waste leachate, generating around 1080 t/d during treatment, has become a concern due to the discontinuation of wet feed production. The objective of this study is to develop a food waste policy. It begins by assessing food waste and leachate generation through field surveys of 346 treatment facilities engaged in pretreatment, feeding, composting, and biogasification. To mitigate the impact of ASF outbreaks in the short term, a proposed solution involves diverting food waste leachate to existing sewage treatment plant digesters during non-injection weekends and other off-peak times. This measure aims to completely treat the maximum discharge of approximately 2000 t/d during the peak summer ASF outbreak periods. For the long term, a strategy involving anaerobic digestion is suggested in response to the gradual reduction in wet or dry feed production, along with composting, the conventional treatment method. This transition not only curbs greenhouse gas emissions but also enhances biogas production, a renewable energy source. These efforts align with the Korean Green New Deal’s goal of achieving a 20% share of renewable energy by 2030.
First third-generation CAR T cell application targeting CD19 for the treatment of systemic IgM AL amyloidosis with underlying marginal zone lymphoma
Authors: Korell Felix , Schönland Stefan , Schmitt Anita , Jansen Madelaine , Farid Kiavasch , Müller-Tidow Carsten , Dreger Peter , Schmitt Michael , Hegenbart Ute 
Published: October 2023

AbstractLight chain amyloidosis (AL) is a rare disease caused by the generalized deposition of misfolded free light chains. Patients with immunoglobulin M gammopathy (IgM) and indolent B-cell lymphoma such as marginal zone lymphoma (MZL) may in some instances develop AL amyloidosis. So far, CAR T cells for AL amyloidosis have only been reported utilizing the B cell maturation antigen as target, while CD19 has so far not been used in AL amyloidosis.We report the case of a 71-year-old male, diagnosed with systemic AL kappa amyloidosis and MZL, receiving third-generation CAR T cell therapy targeting CD19. Prior treatment included bendamustine/rituximab and cyclophosphamide/ dexamethasone with subsequent autologous stem cell transplantation. CAR T application was well tolerated despite heart and kidney amyloid manifestations, and only early low-grade procedure-specific toxicities were observed. A continuous decrease in IgM, kappa light chains and kappa-to-lambda light chain difference was observed in the patient from day + 30 on, resulting in a deep hematological response six months after treatment.In summary, we present a novel case of CAR T cell treatment with third generation CD19 directed infusion for AL amyloidosis with an underlying secretory active B cell lymphoma, showing that this is an effective treatment modality and can be applied to patients with subsequent AL amyloidosis.
Neurovirulent cytokines increase neuronal excitability in a model of coronavirus-induced neuroinflammation
Authors: Rajayer Salil R. , Smith Stephen M. 
Published: October 2023

Abstract
Background
Neurological manifestations of severe coronavirus infections, including SARS-CoV-2, are wide-ranging and may persist following virus clearance. Detailed understanding of the underlying changes in brain function may facilitate the identification of therapeutic targets. We directly tested how neocortical function is impacted by the specific panel of cytokines that occur in coronavirus brain infection. Using the whole-cell patch-clamp technique, we determined how the five cytokines (TNFα, IL-1β, IL-6, IL-12p40 and IL-15 for 22–28-h) at concentrations matched to those elicited by MHV-A59 coronavirus brain infection, affected neuronal function in cultured primary mouse neocortical neurons.

Results
We evaluated how acute cytokine exposure affected neuronal excitability (propensity to fire action potentials), membrane properties, and action potential characteristics, as well as sensitivity to changes in extracellular calcium and magnesium (divalent) concentration. Neurovirulent cytokines increased spontaneous excitability and response to low divalent concentration by depolarizing the resting membrane potential and hyperpolarizing the action potential threshold. Evoked excitability was also enhanced by neurovirulent cytokines at physiological divalent concentrations. At low divalent concentrations, the change in evoked excitability was attenuated. One hour after cytokine removal, spontaneous excitability and hyperpolarization of the action potential threshold normalized but membrane depolarization and attenuated divalent-dependent excitability persisted.

Conclusions
Coronavirus-associated cytokine exposure increases spontaneous excitability in neocortical neurons, and some of the changes persist after cytokine removal.
HK2 contributes to the proliferation, migration, and invasion of diffuse large B-cell lymphoma cells by enhancing the ERK1/2 signaling pathway
Authors: Zhao Hongcan , Xiang Guoqian , Shao Tingjun , Wang Minmin , Dai Weijian 
Published: October 2023

Abstract
Hexokinase 2 (HK2) has been associated with carcinogenic growth in numerous kinds of malignancies as essential regulators during the processing of glucose. This study aimed to explore the effects of HK2 on diffuse large B-cell lymphoma (DLBCL) cells via the ERK1/2 signaling. Expressions of HK2 and ERK1/2 were examined in DLBCL cell lines using quantitative reverse transcription polymerase chain reaction and western blotting. HK2 and ERK1/2 were attenuated through HK2 small-interfering RNA (siRNA) and ERK inhibitor FR180204, respectively, in U2932 and SU-DHL-4 cells. Cell Counting Kit-8, clone formation, transwell, and flow cytometry assays were used in evaluating the effects of HK2 and ERK1/2 on cell proliferation, migration, and apoptosis. Moreover, a xenograft model was created to assess the roles of HK2 in vivo. HK2 and ERK1/2 were evidently up-regulated in DLBCL cell lines. HK2 knockdown and FR180204 markedly suppressed the proliferation and clonogenesis of U2932 and SU-DHL-4 cells and promoted cell apoptosis in vitro. We also found that HK2 silencing suppressed tumor growth in vivo. Notably, HK2 knockdown inactivated the ERK1/2 signaling pathway both in vitro and in vivo. These data indicate that inhibition of HK2 may suppress the proliferation, migration, and invasion of DLBCL cells, partly via inhibiting the ERK1/2 signaling pathway.
Identifying individual jaguars from camera-trap images using the HotSpotter program
Authors: Wiig Øystein , da Silva Teixeira Karollyna , Sena Leonardo , Santos de Oliveira Halícia Celeste , Mendes-Oliveira Ana Cristina 
Published: October 2023

Abstract
We identified individual jaguars from a database of camera-trap images collected in the Eastern Amazonian rainforest using the artificial intelligence software HotSpotter. We identified individuals from 131 of 217 images. Twenty-five different individuals were identified based on images of the left side. We compared our results with the results from an undergraduate study that manually identified 18 jaguar individuals from 53 images also used in the present study. One of the 18 individuals was found to be misclassified based on HotSpotter. We found HotSpotter to be useful in identifying individual jaguars in our study area.
A Centrally Driven Place-Based Economic Development Strategy: A Local Perspective of Thailand’s Eastern Economic Corridor
Authors: Kamnuansilpa Peerasit , Timofeev Andrey , Lowatcharin Grichawat , Laochankham Sirisak 
Published: October 2023

We contrast place-based economic development strategies (PBEDS) in Thailand and in economically advanced countries. Through government initiatives, PBEDS focuses on improving economically underdeveloped areas' economic conditions. Thailand's PBEDS began in 1959 to develop the impoverished Northeast region, focusing on agricultural improvements. Since 1970, infrastructure and industrial development zones have been the main strategies to attract foreign investment for export-oriented growth. In economically advanced countries, the primary purpose of PBEDS is to reduce regional economic disparity. However, as they are implemented in Thailand, they increase regional inequality as development is concentrated in and around Bangkok. Thailand's latest PBEDS is the Eastern Economic Corridor (EEC) project in three eastern provinces. The national government oversaw the EEC and granted the EEC Office special powers to streamline investment approvals, although local governments have no formal role. We contrast Thailand's top-down PBEDS with approaches in other countries that emphasize local decision-making and leveraging regional assets. Thailand's policies focus on national growth, while international evidence suggests that locally-led PBEDS more effectively address regional disparities and increase national output. Thailand should empower local governments, coordinate with them, and invest in poorer regions. At the same time, the EEC may promote growth, but its centralized approach risks misaligning with local needs. A balanced strategy accounting for local contexts could better lift Thailand economically.
Numerical Modeling and Simulation of Rooftop Thermal Photovoltaic Chimney for Buildings' Electrical Energy Generation and Passive Cooling
Authors: Nougbléga Yawovi , Tchamie Georges Kibalo , Ouedraogo Seydou 
Published: October 2023

The present study consisted mainly of making the thermal and dynamic analysis of the fluid flows in mixed convection in the chimney integrated into the building with an upper-covered horizontal hybrid thermal photovoltaic collector on a slab roof. The governing equations discretized by the finite difference method resulted in the systems of tri-diagonal algebraic equations, which were solved by Thomas' algorithm and Gauss Seidel's iterative method. Numerical solutions are presented for various geometrical aspect ratios, Rayleigh, and Reynolds numbers. The results are presented in terms of streamlines, isotherms, velocity, heat transfer intensity, and PV cells’ electrical efficiency versus the governing control parameters in detail.
Administrative Responsibility and Judicial Control Of AI Systems: Medical Field As A Model
Authors: Abdelwahed Osama Mahmoud Abdelgawad 
Published: October 2023

This study aims to provide an in-depth understanding of the administrative responsibility and judicial control of artificial intelligence systems in the medical field as a model, by evaluating the current policies and regulations that regulate the use of artificial intelligence in the medical field and determining whether they are sufficient to protect patients and ensure integrity and safety, as well as investigating ethical issues by studying them in multiple aspects, such as patient privacy, care distribution and discrimination. Furthermore, this study aspires to develop and improve legal legislation in line with organising the use of artificial intelligence more effectively and impartially, by studying other experiences in organising and managing artificial intelligence and determining whether there are viable ideas from those experiences. These goals contribute to understanding a variety of aspects related to the managerial responsibility and judicial control of AI systems in the medical field and improving the overall use of this technology.
Disease Prevalence Due to Human Respiratory Syncytial Virus (HRSV) and Molecular Nature of G Gene in Different Geographical Region of India: 2005-2022
Authors: Hinge Dilip D. , Patil Satish R. , Datkhile Kailas D. , Durgawale Pratik P. , Deshmukh Vinit N. 
Published: October 2023

Human respiratory syncytial virus (hRSV) is the leading pediatric respiratory pathogen with high morbidity in the first year of life. The morbidity is particularly high in developing countries. it is the most common cause of infant hospitalization and causes a high burden of disease in the elderly. India is a country with vast geographical differences their unique climatic conditions. So, the prevalence of human RSV in different geographical regions is partially understood for a long time. This review was performed by using a different search engine like Google schooler, PubMed, etc. Significant prevalence and specific RSV virus strain circulation were major keywords used for the search in the Indian pediatric population. Annual incidence rates of RSV–associated hospitalization per 1000 children were highest among infants aged 0–5 months, followed by ages 6–23 months, and lowest among children 24–59 months. hRSV was a substantial cause of hospitalization among children aged < 24 months especially those aged <6 months. Prevalence varies from 2.1% to 44% in different geographical regions. hRSV has a more broadly distributed peak timing. numerous studies of the correlation between climatic factors and hRSV incidence across latitudes found variable and inconsistent correlations between hRSV incidence & temperature, and relative humidity in different parts of the tropical region.However, genotypes ON1, NA1, GA5, and GA2 in the hRSV-A group and group hRSV-B BA, BA9, and BA12 were predominantly circulated in India.
Estimation of Bali Cattle Body Weight Based on Morphological Measurements by Machine Learning Algorithms: Random Forest, Support Vector, K-Neighbors, and Extra Tree Regression
Authors: Sarini Ni Putu , Dharmawan Komang 
Published: October 2023

In order to forecast and model the weight of cattle a number of techniques have been used. Nonetheless, no machine algorithm has been utilized to estimate the weight of Bali cattle. This article examines the use of machine learning regression to create models for Bali cattle's body weight prediction. The response variables consist of body weight as the dependent variable and body length, girth circumference, height at wither of 228 male and 211 female cattle of similar ages (285 days). The descriptive statistics of female Bali cattle in our investigation revealed that the morphological measurements were similar to those documented by other researchers. To predict body weight on the basis of different characteristics, machine learning models such as Random Forest, Support Vector, K-Neighbors, and Extra Tree regressions have been used. Additionally, linear regression was utilized to estimate the body weight for comparison with the traditional approach. The assessment standards used included the determination coefficient, the root mean square error, the average absolute error, and the average absolute percentage error as measures of evaluation efficiency. We found that Linear Regression performs the best among all the regressors for female cattle. Similarly for male, it is about the same as extra tree regression. The machine learning algorithm (MLA) was discovered to furnish more precise estimate of the weight of the body cattle, surpassing the conventional algorithm.
Exploring the nexus between energy consumption & pollution on environment quality and customer’s health: evidence from panel data analysis of developing nations
Authors: Deshmukh Renuka , Adhav Dr. Sunil , Oak Dr Adwait , Patil Dr. Ameya Anil 
Published: October 2023

Purpose
Environmental protection has become a national issues as well as international issue in recent years. Creating a sustainable development must be implemented as a reactive plan. A society's health could suffer as a result of rising air pollution brought on by increased energy use. The main goal of this study is to examine the relationship between energy consumption and health problems (such as tracheal, bronchial, and lung cancer, respiratory diseases, the prevalence of undernourishment, and the death ratio due to exposure to both outdoor and household air pollution) for data from 18 Asian countries between 2000 and 2022.

Methodology
In a panel-gravity framework for analysing energy consumption, environmental pollution, and health problems among the 20 Asia-based developing countries that were chosen, the generalised method of moments (GMM) is used.

Findings
CO2 emissions are observed to have a favourable impact on lung and respiratory illness prevalence in developing Asian countries. The results show that the risk of lung and respiratory disorders is increased by the consumption of fossil fuels. The findings also show how significantly CO2 emissions and fossil fuel use affect the rate of undernourishment and mortality. Additionally, we find that health care spending and gross domestic product per capita may contribute to a decrease in the ratio of deaths and undernourishment. In order to boost developing Asian nations' national health security, the study suggests implementing quick energy transition programmes, enhancing energy efficiency, and lowering energy intensity.

Originality:
There are tremendous studies on energy consumption and use of sustainable solutions for reducing health impacts including the constructs of GMM but in the times of Covid-19, where it has become mandatory for all nations to use sustainable solutions to attain SDGs for survival of the green planet. The study is original and is an attempt to understand developing nations’ perspective towards usage of sustainable technologies and its effectiveness in creating sustainable environment. Sustainable solutions to overcome the environmental problems are put forth in the research paper.
A Temporal Analysis of Parasitic Infections in Indian Mackerel, Rastrelliger kanagurta (Cuvier, 1817) along the Western Coast of Karwar Bay, Karnataka: Employing a Monthly Assessment with histopathology
Authors: Ramudu Kurva Raghu , J.L. Rathod  
Published: October 2023

The study showed the morphological identification, prevalence, and severity of the infestation of parasites in R. kanagurta from the Karwar coast, month-wise from January to December 2022. The current study investigated and found Norileca indica and Nerocila phaiopleura Trichodina spp., and developmental stages of helminths in R. kanagurta during this period. A total of 755 fish were examined, and the monthly prevalence was estimated. Statistical analysis revealed that the P value is lesser than the significant value (P<0.05, df=3), which indicates there are significant differences in PFI (% prevalence) values of each group/among the parasites (N. indica, N. phaiopleura, Helmenth, Trichodina spp.) and also there is a significant difference of prevalence in monthly (P<0.05,df=11). Weather changes like temperature, salinity, flood water, pollutants, ballast water, and sudden rainfall all play a key role in the infestation of parasites in the selected fish. Availability of the host (R. kanagurta), breeding season, and ban period (west coast) were also important factors causing the parasitic infestation. In conclusion, Norileca indica and Nerocila phaiopleura, Trichodina spp., Isopods, and developmental stages of helminth parasites were causing histological alterations in the infected tissues.
Bio-Insecticidal Efficacy of Aegle Marmelos Against Myzus Persicae
Authors: Sharma Primila Neopaney , Kaur Amaninder , Jabeen Shaista , sharma Pallika , Sharma Sunakshi , Singh Gautampreet 
Published: October 2023

Myzus persicae (Green peach aphids) has wide range of distribution in different plant hosts. As a pest it causes adverse effect to crops both directly and indirectly by transmitting different viruses and also by producing honey dew. Myzus persicae transmits almost 100 different viral diseases of plants on thirty different plant families which include some major crops like, sugar cane, tobacco, paddy, citrus, sugar beet etc. Myzus persicae is cosmopolitan in distribution. This insect pest causes damage to wide range of economically important crops and their control is usually dependent upon chemicals, intensive use of which may develop resistance in them. During this experiment botanical pesticide is used as natural control measure and tested its efficacy against Green peach aphids at different concentrations. The plant used is Aegle marmelos. Plant parts such as stem and leaves were used to prepare Boiling and Soxhlet extract. Each extract of plant was individually tested against the aphids’ nymph which gave maximum mortality of about 97.7% results at the concentration of 500 ppm. The use of this botanical pesticide helps to eradicate the crop pests by an eco-friendly manner.