bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Social Prescribing Link Workers in Supporting Adults with Physical and Mental Health Long-Term Conditions: Integrative Review
Authors: Linceviciute Skaiste , Ambrosio Leire , Baldwin David S. , Portillo Mari Carmen
Published: November 2023

Social prescribing link workers interventions have been widely adopted within healthcare systems, particularly in the UK, to support a range of patients’ needs and to help improve condition management for those living with multiple long-term conditions. However, there is a lack of consistency in implementation and unclear guidance about how social prescribing link workers might address these needs, particularly in individuals living with physical and mental health long-term conditions who bear a greater burden of multifaceted everyday problems and health challenges. This review aimed to identify the existing ways in which link workers might support the needs of this group. Systematic literature search strategies were carried out with a systematic methodology that identified 18 eligible articles that mostly consisted of qualitative studies (N = 10) with the remaining studies employing a range of designs. Following a thorough process of data extraction and synthesis of findings, two principal themes and four subthemes were developed that together helped to explain the process of support and the enablers that determined how successful link workers’ interventions were in supporting adults with physical and mental health long-term conditions. We found that personalised plan development and goal setting was a central collaborative task between the link worker and the patient that helped in “linking” people to beneficial and relevant sources of support. However, the catalyst for a successful change appears to be a combination of a therapeutic relationship with a link worker facilitated by a range of practical advice and “hands on” solutions that were highly desired elements of support. We have identified directives for future research and practical suggestions for enhancing the setup of link workers’ interventions with this group of adults.
Increasing the Vase Life of Chrysanthemum Cut Flowers by Using Silver and Zinc Nanoparticles
Authors: Prabawati Sulusi , Sjafrina Noveria , Sulistyaningrum Anna , Rahayu Eka , Widayanti Siti Mariana , Waryat  , Ahmadi Noor Roufiq , Rachmawati Fitri , Arif Abdullah Bin
Published: November 2023

Cut flowers are horticultural products that have great potential to be developed. Efforts to maintain quality and extend the shelf life of cut flowers are very important to obtain a product that is accepted in the market. The main problems of chrysanthemum cut flowers are the leaves easily turning yellow, wilting, and failure to fully open flowers. This study aimed to obtain the best pulsing solution formulation that increases vase life and maintains the freshness of chrysanthemum cut flowers. Pulsing solution treatment was carried out on chrysanthemum cut flowers during the evaluation period. Pulsing solution treatment consisted of control, AgNO3, nano-Ag (NAg), ZnO, and nano-Zn (NZn). The results showed that NAg20 treatment increased the vase life of chrysanthemum cut flowers up to 23 days, which was 19 days longer than the control. Nano-Ag inhibits bacterial growth, flower wilting, color degradation, and carotenoids. In addition, nano-Ag increased the size of the bloom-flower diameter. Considering the results of all postharvest quality parameters mentioned above, NAg20 extends the vase life of chrysanthemum cut flowers.
Acinar Dysplasia in a Full-Term Newborn with a NKX2.1 Variant
Authors: Soreze Yohan , Nathan Nadia , Jegard Julien , Hervieux Erik , Clermidi Pauline , Sileo Chiara , Louvrier Camille , Legendre Marie , Coulomb L'Herminé Aurore
Published: November 2023

Acinar dysplasia (AcDys) is one of the three main diffuse developmental disorders of the lung. The transcription factor NK2 homeobox 1 (NKX2.1) partly controls the synthesis of surfactant proteins by type 2 alveolar epithelial cells (AEC2), and germline mutations are known to be associated with brain-lung thyroid syndrome. We report the case of a full-term neonate who developed refractory respiratory failure with pulmonary hypertension requiring venoarterial extracorporeal membrane oxygenation. Histological examination of the lung biopsy specimen was consistent with the diagnosis of AcDys. Molecular analyses led to the identification of the missense heterozygous variant in NKX2.1 (NM_001079668) c.731A>G p.(Tyr244Cys), which is predicted to be pathogenic. After 5 weeks, because AcDys is a fatal disorder and the patient’s status worsened, life-sustaining therapies were withdrawn, and she died after a few hours. This study is the first to extend the phenotype of NKX2.1 pathogenic variant, to a fatal form of AcDys.
How Much Do Altmetric Scores Correlate with Bibliometric Scores? Analysis of the Most-Cited 100 Articles about the Holmium Laser Enucleation Prostatectomy
Authors: Sonmez Gokhan , Golbasi Abdullah
Published: November 2023

Introduction: In addition to bibliometric scores, which are an indicator of academic popularity, it has become frequently used in altmetric scoring that shows the visibility of articles on social media and the internet. In this study, 100 most-cited studies on holmium laser enucleation prostatectomy (HoLEP) were examined, and it was investigated whether the number of citations per year of these studies was affected by altmetric and bibliometric scores. Methods: The 100 most-cited HoLEP articles between 2000 and 2020 were included in the study. Some bibliometric scores such as h-indexes, impact factors, Scientific Journal Rankings (SJR) scores of the journals and demographics of the articles (such as the number of the citations per year, total number of citations, and total altmetric scores) were recorded. The effects of altmetric and bibliometric scores on the number of citations per year were evaluated by correlation analysis. Results: The median number of citations per year of the articles was 5.88 (4.69–8.42). It was determined that altmetric scores were not an effective factor on the number of citations per year (p = 0.335). A moderate relationship was found between the journal impact factor and the number of citations per year (p < 0.001, r = 0.471, R2 = 0.251). Journal h-index (p < 0.001, r = 0.424, R2 = 0.084), the SJR score (p < 0.001, r = 0.374, R2 = 0.254), and the publication year of the article (p = 0.001, r = 0.326, R2 = 0.023) were significantly but weakly correlated with the median number of citations per year. Conclusion: It was seen that the number of citations per year, which is the most important academic quality indicator, is not related to the altmetric scores. In addition, traditional bibliometric parameters still maintain their effectiveness on the number of citations.
Dermoscopy of Lentiginous Melanomas and Equivocal Benign Pigmented Macules of the Scalp: A Case-Control Multicentric Study
Authors: Regio Pereira Amanda , Hirata Sergio , Pietkiewicz Paweł , Menzies Scott W. , Brancaccio Gabriella , Collgros Helena , Argenziano Giuseppe , Lo Serigne N. , Ahmed Tasnia , Pampena Riccardo , Longo Caterina , Guitera Pascale
Published: November 2023

Introduction: Although the dermoscopic features of facial lentiginous melanomas (LM), including lentigo maligna and lentigo maligna melanoma, have been extensively studied, the literature about those located on the scalp is scarce. This study aims to describe the dermoscopic features of scalp LM and assess the diagnostic accuracy of dermoscopy to discriminate them from equivocal benign pigmented macules. Methods: Consecutive cases of scalp LM and histopathology-proven benign but clinically equivocal pigmented macules (actinic keratoses, solar lentigos, seborrhoeic keratoses, and lichen planus-like keratoses) from four referral centres were included. Dermoscopic features were analysed by two blinded experts. The diagnostic performance of a predictive model was assessed. Results: 56 LM and 44 controls were included. Multiple features previously described for facial and extrafacial LM were frequently identified in both groups. Expert’s sensitivity to diagnose scalp LM was 76.8% (63.6–87.0) and 78.6% (65.6–88.4), with specificity of 54.5% (38.9–69.6) and 56.8% (41.0–71.7), and fair agreement (kappa coefficient 0.248). The strongest independent predictors of malignancy were (OR, 95% CI) chaos of colour (15.43, 1.48–160.3), pigmented reticular lines (14.96, 1.68–132.9), increased density of vascular network (3.45, 1.09–10.92), and perifollicular grey circles (2.89, 0.96–8.67). The predictive model achieved 85.7% (73.8–93.6) sensitivity, 61.4% (45.5–75.6) specificity, and 81.5 (73.0–90.0) area under curve to discriminate benign and malignant lesions. A diagnostic flowchart was proposed, which should improve the diagnostic performance of dermoscopy. Conclusion: Both facial and extrafacial dermoscopic patterns can be identified in scalp LM, with considerable overlap with benign pigmented macules, leading to low specificity and interobserver agreement on dermoscopy.
Linoleate-Containing Acylglucosylceramide, Acylceramide, and Events Associated with Formation of the Epidermal Permeability Barrier
Authors: Wertz Philip W.
Published: November 2023

Background: Linoleate-containing acylglucosylceramide (GLC-CER[EOx], where x = sphingosine [S], dihydrosphingosine [dS], phytosphingosine (P), or 6-hydroxysphingosine [H]) in the viable epidermis serve as the precursors to the linoleate-containing acylceramides (CER[EOx]) in the stratum corneum (SC) and the corneocyte lipid envelope (CLE), both of which are essential for the barrier function of the skin. Summary: CLE formation and envelope maturation take place across the SC. Hypoxic conditions in the epidermis and anaerobic glycolysis with the production of lactic acid are important in proper SC barrier formation. Key Message: CLE formation takes place across the SC. Its formation from linoleate-containing GLC-CER[EOx] requires lipoxygenase action, but anaerobic conditions leading to lactate production and hypoxia-inducible factors are essential for proper barrier formation. A number of unanswered questions are raised regarding formation of the CLE and the epidermal permeability barrier.
Effectiveness and Safety of Dupilumab in Children Under 6 Years of Age with Moderate-to-Severe Atopic Dermatitis: A Retrospective Real-World Study
Authors: Berna-Rico Emilio , Fiz-Benito Esther , Busto-Leis Jose Manuel , Servera-Negre Guillermo , de Lucas-Laguna Raul , Feito-Rodriguez Marta
Published: November 2023

Introduction: Dupilumab has recently been shown to be effective in children under 6 years of age with atopic dermatitis (AD). Nevertheless, real-life and long-term follow-up data are scarce. We aimed to assess the effectiveness, safety, and long-term outcomes of dupilumab in a daily-practice setting in this age group. Method: This was a retrospective observational cohort study. Only patients with 16 or more weeks of treatment were included in the analysis. The proportion of patients who achieved ≥75% or 90% reduction from baseline EASI (EASI75 and EASI90, respectively) and the percentage of patients who achieved vIGA 0–1 were analyzed at 4, 16, 48, 72, and 96 weeks (when available). Adverse events were recorded during follow-up. Results: A total of 19 patients <6 years old with moderate-to-severe AD were included in the cohort, with a median age of 4.7 years (range: 2.6–5.9). The median weeks on dupilumab were 51.3 (IQR: 24.6–79.3). EASI75 was achieved in 11/19 patients (57.9%) at w4, 16/19 (84.2%) at w16, 9/12 (75%) at w48, 6/6 (100%) at w72, and in 2/2 (100%) at week 96. The objective of vIGA 0–1 was reached by 10/19 patients (51.6%) at w4, by 14/19 (73.7%) at w16, by 9/12 (75%) at w48, by 5/6 (83.3%) at w72, and by 2/2 (100%) at w96. Dupilumab was discontinued in 3 patients (15.8%) due to loss of response. One patient developed a paradoxical palmo-plantar eruption. We found no cases of conjunctivitis, facial erythema, or injection-site reactions related to dupilumab. Conclusions: Dupilumab was effective and safe in our cohort of patients with moderate-to-severe AD under 6 years of age. Response was maintained in the long term in most patients with longer follow-up. Its adverse effect profile was similar to that found in older children and adults.
A study on the impact of artificial intelligence on talent sourcing
Authors: Hemachandran Varun Chand , Kumar Kurakula Arun , Sikanda Syarul Azlina , Sabharwal Seema , Kumar Sivaprakasam Arun
Published: November 2023

Talent sourcing is one of the most effective mechanisms to engage with the talent pool and convert a candidate into an applicant. Today, machine learning has emerged as a trend to assist employers in addressing recruitment challeng-es with the help of tools such as neuro-linguistic programming (NLP) and automated assessments. 80% of the executives strongly believe deep learning makes candidate screening highly efficient. Including current start-ups globally, only 15% use artificial intelligence (AI) and are expected to increase by 31%. The study focused on the impact of AI in recruitment process. There are a few metrics, such as application completion rate, number of candidates per filled position, cost per hire, and so on. Here we would like to analyze the impact of using AI in various phases of hiring in the organization.
Predicting the classification of high vowel sound by using artificial neural network: a study in forensic linguistics
Authors: Susanto Susanto , Nanda Deri Sis
Published: November 2023

One of the tasks in forensic linguistics, especially forensic phonetics, is evaluating the speech sounds in the recordings. The speech evaluation aims at identifying and verifying speakers to predict if the sound were spoken by the suspect or not. The common problem in the task is determining which acoustic features of the speech sounds are reliable for the speaker identification and verification. The purpose of this research is studying formant frequencies to predict high vowel sounds /i/, and /u/ by using artificial neural network (ANN). Using three various normalization methods (i.e., softmax, z-score and sigmoid), we utilized multilayer perceptron on backpropagation ANN with the architectural models of 4-5-2, 4-10-2 and 4-20-2. The results show that the z-score normalization method provides higher accuracy than the other two in all formations and the 4-10-2 formation has shown the highest accuracy (92.26%).
Facial recognition based on enhanced neural network
Authors: AL-Qinani Iman Hussein , Saleh Kawther Thabt , Saleh Hayder Adnan
Published: November 2023

Accurate automatic face recognition (FR) has only become a practical goal of biometrics research in recent years. Detection and recognition are the primary steps for identifying faces in this research, and The Viola-Jones algorithm implements to discover faces in images. This paper presents a neural network solution called modify bidirectional associative memory (MBAM). The basic idea is to recognize the image of a human's face, extract the face image, enter it into the MBAM, and identify it. The output ID for the face image from the network should be similar to the ID for the image entered previously in the training phase. The tests have conducted using the suggested model using 100 images. Results show that FR accuracy is 100% for all images used, and the accuracy after adding noise is the proportions that differ between the images used according to the noise ratio. Recognition results for the mobile camera images were more satisfactory than those for the Face94 dataset. 
Statistical performance assessment of supervised machine learning algorithms for intrusion detection system
Authors: Afolabi Hassan A. , Aburas Abdurazzag A.
Published: November 2023

Several studies have shown that an ensemble classifier's effectiveness is directly correlated with the diversity of its members. However, the algorithms used to build the base learners are one of the issues encountered when using a stacking ensemble. Given the number of options, choosing the best ones might be challenging. In this study, we selected some of the most extensively applied supervised machine learning algorithms and performed a performance evaluation in terms of well-known metrics and validation methods using two internet of things (IoT) intrusion detection datasets, namely network-based anomaly internet of things (N-BaIoT) and internet of things intrusion detection dataset (IoTID20). Friedman and Dunn's tests are used to statistically examine the significant differences between the classifier groups. The goal of this study is to encourage security researchers to develop an intrusion detection system (IDS) using ensemble learning and to propose an appropriate method for selecting diverse base classifiers for a stacking-type ensemble. The performance results indicate that adaptive boosting, and gradient boosting (GB), gradient boosting machines (GBM), light gradient boosting machines (LGBM), extreme gradient boosting (XGB) and deep neural network (DNN) classifiers exhibit better trade-off between the performance parameters and classification time making them ideal choices for developing anomaly-based IDSs.
Evaluating text classification with explainable artificial intelligence
Authors: Zahoor Kanwal , Zakaria Bawany Narmeen , Qamar Tehreem
Published: November 2023

Nowadays, artificial intelligence (AI) in general and machine learning techniques in particular has been widely employed in automated systems. Increasing complexity of these machine learning based systems have consequently given rise to blackbox models that are typically not understandable or explainable by humans. There is a need to understand the logic and reason behind these automated decision-making black box models as they are involved in our day-to-day activities such as driving, facial recognition identity systems, online recruitment. Explainable artificial intelligence (XAI) is an evolving field that makes it possible for humans to evaluate machine learning models for their correctness, fairness, and reliability. We extend our previous research work and perform a detailed analysis of the model created for text classification and sentiment analysis using a popular Explainable AI tool named local interpretable model agnostic explanations (LIME). The results verify that it is essential to evaluate machine learning models using explainable AI tools as accuracy and other related metrics does not ensure the correctness, fairness, and reliability of the model. We also present the comparison of explainability and interpretability of various machine learning algorithms using LIME. 
Under-sampling technique for imbalanced data using minimum sum of euclidean distance in principal component subset
Authors: Kasemtaweechok Chatchai , Suwannik Worasait
Published: November 2023

Imbalanced datasets are characterized by a substantially smaller number of data points in the minority class compared to the majority class. This imbalance often leads to poor predictive performance of classification models when applied in real-world scenarios. There are three main approaches to handle imbalanced data: over-sampling, under-sampling, and hybrid approach. The over-sampling methods duplicate or synthesize data in the minority class. On the other hand, the under-sampling methods remove majority class data. Hybrid methods combine the noise-removing benefits of under-sampling the majority class with the synthetic minority class creation process of over-sampling. In this research, we applied principal component (PC) analysis, which is normally used for dimensionality reduction, to reduce the amount of majority class data. The proposed method was compared with eight state-of-the-art under-sampling methods across three different classification models: support vector machine, random forest, and AdaBoost. In the experiment, conducted on 35 datasets, the proposed method had higher average values for sensitivity, G-mean, the Matthews correlation coefficient (MCC), and receiver operating characteristic curve (ROC curve) compared to the other under-sampling methods. 
Implementing deep learning-based named entity recognition for obtaining narcotics abuse data in Indonesia
Authors: Azhar Daris , Kurniawan Robert , Marsisno Waris , Yuniarto Budi , Sukim Sukim , Sugiarto Sugiarto
Published: November 2023

The availability of drug abuse data from the official website of the National Narcotics Board of Indonesia is not up-to-date. Besides, the drug reports from Indonesian National Narcotics Board are only published once a year. This study aims to utilize online news sites as a data source for collecting information about drug abuse in Indonesia. In addition, this study also builds a named entity recognition (NER) model to extract information from news texts. The primary NER model in this study uses the convolutional neural network-long short-term memory (CNNs-LSTM) architecture because it can produce a good performance and only requires a relatively short computation time. Meanwhile, the baseline NER model uses the bidirectional long short-term memory-conditional random field (Bi-LSTMs-CRF) architecture because it is easy to implement using the Flair framework. The primary model that has been built results in a performance (F1 score) of 82.54%. Meanwhile, the baseline model only results in a performance (F1 score) of 69.67%. Then, the raw data extracted by NER is processed to produce the number of drug suspects in Indonesia from 2018-2020. However, the data that has been produced is not as complete as similar data sourced from Indonesian National Narcotics Board publications.
Fragmented-cuneiform-based convolutional neural network for cuneiform character recognition
Authors: Prasetiadi Agi , Saputra Julian
Published: November 2023

Cuneiform has been a widely used writing system in one of the human history phases. Although there are millions of tablets, have been excavated today, only around 100,000 tablets have been read. The difficulty in translating also increased if the tablet has damaged areas resulting in some of its characters become fragmented and hard to read. This paper investigates the possibility of reading fragmented cuneiform characters from Noto Sans Cuneiform font based on convolutional neural network (CNN). The dataset is built on extracted 921 characters from the font. These characters are then intentionally being damaged with specific patterns, resulting set of fragmented characters ready to be trained. The model produced by this training phase then being used to read the unseen fragmented pattern of cuneiform sets. The model also being tested for reading normal characters set. From the simulation, 83.86% accuracy of reading fragmented characters are obtained. Interestingly, 96.42% accuracy is obtained while the model is being tested for reading normal characters.
Video saliency-recognition by applying custom spatio temporal fusion technique
Authors: Warad Vinay C. , Fatima Ruksar
Published: November 2023

Video saliency detection is a major growing field with quite few contributions to it. The general method available today is to conduct frame wise saliency detection and this leads to several complications, including an incoherent pixel-based saliency map, making it not so useful. This paper provides a novel solution to saliency detection and mapping with its custom spatio-temporal fusion method that uses frame wise overall motion colour saliency along with pixel-based consistent spatio-temporal diffusion for its temporal uniformity. In the proposed method section, it has been discussed how the video is fragmented into groups of frames and each frame undergoes diffusion and integration in a temporary fashion for the colour saliency mapping to be computed. Then the inter group frame are used to format the pixel-based saliency fusion, after which the features, that is, fusion of pixel saliency and colour information, guide the diffusion of the spatio temporal saliency. With this, the result has been tested with 5 publicly available global saliency evaluation metrics and it comes to conclusion that the proposed algorithm performs better than several state-of-the-art saliency detection methods with increase in accuracy with a good value margin. All the results display the robustness, reliability, versatility and accuracy.
Task level energy and performance assurance workload scheduling model in distributed computing environment
Authors: Bakka Jagadevi , Lingareddy Sanjeev C.
Published: November 2023

Scientific workload execution on distributed computing platform such as cloud environment is time intense and expensive. The scientific workload has task dependencies with different service level agreement (SLA) prerequisite at different levels. Existing workload scheduling (WS) design are not efficient in assuring SLA at task level. Alongside, induce higher cost as majority of scheduling mechanisms reduce either time or energy. In reducing, cost both energy and makespan must be optimized together for allocating resource. No prior work has considered optimizing energy and processing time together in meeting task level SLA requirement. This paper present task level energy and performance assurance (TLEPA)-WS algorithm for distributed computing environment. The TLEPA-WS guarantees energy minimization with performance requirement of parallel application under distributed computational environment. Experiment results shows significant reduction in using energy and makespan; thereby reduces cost of workload execution in comparison with various standard workload execution models.
FPGAs memory synchronization and performance evaluation using the open computing language framework
Authors: Almomany Abedalmuhdi , Jarrah Amin
Published: November 2023

One advantage of the open computing language (OpenCL) software framework is its ability to run on different architectures. Field programmable gate arrays (FPGAs) are a high-speed computing architecture used for computation acceleration. This work develops a set of eight benchmarks (memory synchronization functions, explained in this study) using an OpenCL framework to study the effect of memory access time on overall performance when targeting the general FPGA computing platform. The results indicate the best synchronization mechanism to be adopted to synthesize the proposed design on the FPGA computation architecture. The proposed research results also demonstrate the effectiveness of using a task-parallel model approach to avoid using high-cost synchronization mechanisms within proposed designs that are constructed on the general FPGA computation platform.
Cost and performance aware scheduling technique for cloud computing environment
Authors: Gorva Santhosh Kumar , Anandachar Latha C.
Published: November 2023

Recently, lot of interest have been put forth by researchers to improve workload scheduling in cloud platform. However, execution of scientific workflow on cloud platform is time consuming and expensive. As users are charged based on hour of usage, lot of research work have been emphasized in minimizing processing time for reduction of cost. However, the processing cost can be reduced by minimizing energy consumption especially when resources are heterogeneous in nature; very limited work have been done considering optimizing cost with energy and processing time parameters together in meeting task quality of service (QoS) requirement. This paper presents cost and performance aware workload scheduling (CPA-WS) technique under heterogeneous cloud platform. This paper presents a cost optimization model through minimization of processing time and energy dissipation for execution of task. Experiments are conducted using two widely used workflow such as Inspiral and CyberShake. The outcome shows the CPA-WS significantly reduces energy, time, and cost in comparison with standard workload scheduling model.
Direito, religião e sociologia: aproximação fenomenológica
Authors:   Universidade de São Paulo. Faculdade de Direito de Ribeirão Preto, Ponzilacqua Marcio Henrique Pereira , Bello Angela Allis ,   Universidade Lateranense de Roma, Santana Cleiton Costa de ,   Pontifícia Universidade Católica do Paraná
Published: November 2023

Os desafios enfrentados pelas democracias contemporâneas são muitos. Não é novidade falar da crise das instituições democráticas, nem das mudanças radicais que as sociedades vivem, das consequências humanas nas mais variadas esferas da vida cotidiana, das relações intersubjetivas às interações com a esfera estatal, das regras de conduta moral à economia, das nossas visões de mundo ao direito. A proposta neste trabalho é entrar num terreno de disputas marcado pela pluralidade de vozes que caracteriza o espaço público contemporâneo para problematizar a relação possível entre Direito e Religião, oferecendo ao leitor elementos que possibilitem a abertura de novos filões de reflexão, novas problemáticas a serem pesquisadas, mas sobretudo, indicar um referencial teórico que permita a construção de um espaço público laico, onde a relação entre Direito e Religião possa se tornar “tarefa de cooperação” para a consolidação do valor da Democracia. Aqui nos limitamos a afrontar essa temática de maneira introdutória, sem a pretensão de exaurir as possibilidades de desenvolvimentos teóricos e empíricos em cada um desses âmbitos do saber (direito, religião, fenomenologia).
Presas e sedução: monstruosidade e desejo em "La Morte Amoureuse", de Théophile Gautier e "Carmilla", de Sheridan Le Fanu
Authors: Gonçalves Alanis Zambrini
Published: November 2023

Por meio de duas narrativas sobre vampiros, sendo elas La Morte Amoureuse (1836), de Théophile Gautier e Carmilla (1872), de Sheridan Le Fanu, este artigo pretende estudar o modo como a monstruosidade é  articulada em meio a essas narrativas, principalmente levando em conta a ideia da monstruosidade moral, bem como a relação entre o monstro e o desejo, ao considerar a sedução inerente que permeia a figura do vampiro, especialmente no que tange ao sentimento de asco e desejo gerado pelo monstro. Assim, este artigo busca mostrar uma breve história sobre o vampiro na cultura literária, em que a criatura passa do folklore à figura do vampiro aristocrático e sedutor. Do mesmo modo, pretende-se entender a maneira como a monstruosidade é exposta nas duas obras e como ela está relacionada ao sentimento de desejo e de sedução.
Moral Excuse to the Pacifist’s Rescue
Authors: Hereth Blake
Published: November 2023

Pacifism1 is the view that necessarily, the nonconsensual physical harming of pro tanto rights-bearers is all-things-considered morally impermissible. Critics of pacifism frequently point to common moral intuitions about self-defenders and other-defenders as evidence that pacifism is false and that self- and other-defense are often morally justified. I call this the Justification View and defend its rival, the Excuse View. According to the latter, a robust view of moral excuse adequately explains the common moral intuitions invoked against pacifism and is compatible with pacifism. The paper proceeds in five steps. First, I identify ten intuitive data points that require explanation. Second, I introduce the justification/excuse distinction. Third, I demonstrate the Excuse View’s equal explanatory power with respect to the intuitive data. Fourth, I defend the Fair Use Principle: When evaluating the plausibility of rival theories J and E, the use of datum d’s full intuitive force against E and for J is epistemically permissible only if (i) d is better explained by J than E and (ii) no intuitive components of d are equally well-explained by E. Finally, I conclude that the conjunction of pacifism and the Excuse View renders the intuitive defense of the Justification View largely moot, and that this is a substantial victory for pacifism.
Redescription of Hybusa occidentalis (Westwood) (Orthoptera: Proscopiidae: Hybusinae): new images, description of male genitalia, pictorial key of Hybusa species and morphological comparison of Hybusinae with Xeniinae and Proscopiinae
Authors: QUEIROZ LARISSA LIMA DE , RAFAEL JOSÉ ALBERTINO , PÁDUA DIEGO GALVÃO DE , ARAUJO RODRIGO DE OLIVEIRA , HELEODORO RAPHAEL AQUINO
Published: November 2023

Proscopiidae (Orthoptera: Caelifera) are grasshoppers found in Central and South America, often mistaken for “true” stick insects (Phasmatodea) due to their stick-like appearance. The family comprises three subfamilies: Hybusinae, Proscopiinae, and Xeniinae, with Hybusinae as the smallest subfamily, housing the genus Hybusa Erichson, which contains four species endemic to Chile. Considering that the most recent comprehensive taxonomic assessment of this genus was conducted approximately three decades ago, herein we redescribe the type species of Hybusa, H. occidentalis (Westwood), based on males and females. The study includes new images of H. occidentalis body and male genitalia, along with a comprehensive pictorial key for all Hybusa species using available type material. Additionally, a morphological comparison between Hybusa and other Proscopiidae taxa is presented.
One new species of the genus Phlugiolopsis (Orthoptera: Tettigoniidae: Meconematinae) from Guizhou Province, China
Authors: PAN YANGYANG , BIAN XUN
Published: November 2023

Phlugiolopsis was proposed by Zeuner in 1940 with Phlugiolopsis henryi Zeuner, 1940. Chinese scholars Xia & Liu first studied the genus in 1993 and described three new species from Wuling Mountains Area of Southwestern China, among which Phlugiolopsis brevis Xia & Liu, 1993 and Phlugiolopsis tuberculata Xia & Li, 1993 were mainly distributed in Guizhou Province. Twenty years later, Bian et al. (2013) described the third species of Phlugiolopsis from Guizhou, namely Phlugiolopsis xinanensis Bian, Shi & Chang, 2013. Compared with Yunnan Province, the classification of Phlugiolopsis in Guizhou is far from sufficient. Herein based on new specimens deposited in Guangxi Normal University, we describe one new species from Guizhou, China.
Application of Substrate Materials Derived from Plant Roots, Stems, Leaves, and Microbes for Remediation of Soil Heavy Metal Pollution
Authors: Liu Shujiao , Liu Weizhong , Zhang Yonggang
Published: November 2023

This study focuses on the remediation of chromium (Cr), a heavy metal, in soil using substrate materials synthesized from plant roots, stems, leaves, and microbes. Corn was chosen as the source material for biochar production through high-temperature pyrolysis of corn roots, stems,
and leaves. The biochar was then modified with an iron solution, and microbial adsorption was employed to remediate heavy metal Cr in the soil. The study involved physical and infrared analyses of the substrate materials and experiments to determine the adsorption contribution of different
pH conditions, sites, and substrate materials to metal Cr. The effectiveness of plant roots, stems, leaves, and microbial combinations in remediating soil heavy metal pollution was verified. The experimental results demonstrate a decrease in the Zeta potential values of both materials as the
pH increases. Moreover, as pH gradually increases, the form of Cr ions changes, and the reproductive ability of microbes weakens. The substrate materials exhibit a notable increase in negative charge, leading to enhanced repulsion towards Cr, which impacts their adsorption performance. At
neutral pH, the adsorption capacity of the substrate materials for Cr is enhanced. The contribution rate of the composite substrate materials in the adsorption process is 6.78%, while that of microbial organisms is 56.45%, significantly higher than that of Fe-CBC. The main reason is that microbial
adsorption activity for Cr is enhanced under higher pH conditions, with the contribution rate of microbial organisms continuing to increase significantly at a pH of 9.
Bee Pollen: An Antioxidant and Antimicrobial Agent for Beef Sausage
Authors: Taha Ibrahim M. , Ismail Khadiga Ahmed , Sami Rokayya , Aljumayi Huda , Alshehry Garsa , Algarni Eman , Aljumayi Adel , Alshahrani Mohammad Y. , Asseri Tahani A. Y. , Alsharari Zayed D. , Baakdah Fadi , Taha El-Kazafy A.
Published: November 2023

Natural additives can enhance the microbial and oxidative quality of processed meat products. Bee pollen is a natural ingredient with valuable nutritional properties. It has been suggested as a natural antimicrobial and antioxidant agent. The goal of this research was to include bee
pollen in beef sausage formulation as an antimicrobial and antioxidant agent for improving the quality criteria under cold storage. Five beef sausage formulas were prepared; the first formula was prepared from the basic formula (positive control) include butylatedhydroxytoluene (BHT), the
second formula (negative control) was prepared like the basic formula without BHT and the other three formulations were prepared by including 1, 2 and 3% eucalyptus (Eucalyptus ssp.) bee pollen. All formulations were stored at 5±2 °C until spoilage symptoms appeared. Chemical
composition, thiobarbituric acid reactive substance (TBA-RS), total volatile basic nitrogen (TVB-N), microbial counts and sensory properties were evaluated. The obtained results were compared with Egyptian criteria to assess their acceptability. In comparison with the sausage basic formula,
formulas treated with BHT and bee pollen showed a significant reduction in TVB-N, TBA-RS, total aerobic bacteria count, psychrophilic count, molds and yeasts count. The sensory properties of all formulations prepared with bee pollen were acceptable. Bee pollen was superior as an antimicrobial
and antioxidant agent for sausage. It could be concluded that bee pollen can be used by meat manufacturers for enhancing quality and extending the shelf-life.
Comparative Metabolomics Revealed Differences in Alkaloids Metabolism Between Morus nigra L. and Morus. alba L. at Different Growth Stages
Authors: Yang Lu , Fan Shaoli , Zhao Jiuyang , Liao Jinfa , Chen Yicun , Wang Yangdong
Published: November 2023

Mulberry (Morus spp.), a flowering plant in the Moraceae family, is known for the edible fruit, and mulberry leaves have various applications. This experiment utilized ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry (UPLC-Q-TOF-MS) and Progenesis
QI software to rapidly identify secondary metabolites in the leaves of Morus nigra L. and Morus alba L.. Orthogonal partial least squares discriminant analysis (OPLS-DA), principal component analysis (PCA) and Hierarchical clustering analysis (HCA) were used to examine the dynamic
changes and stage specificity of metabolites, particularly alkaloids, in M. nigra and M. alba leaves during seven primary growth stages. In results, the leaf samples from different growth stages uncovered a total of 182 metabolites from 13 distinct categories. M. nigra
had significantly higher levels of metabolites than those in M. alba, according to differences in leaf metabolite accumulation patterns. Multiple statistical analyses revealed that the metabolome of M. nigra and M. alba leaves exhibited a significant interspecific and
developmental specific accumulation patterns, with most DNJ alkaloids having the highest content in M. nigra leaves. In different growth stages, the metabolites of M. nigra leaves showed significant stage specificity. During the development stage of small fruit stage, obvious
changes occurred in the chemical composition of M. nigra leaves, with a significant increase in DNJ alkaloid metabolites. Overall, this study provides a theoretical reference for the comprehensive development and sustainable utilization of M. nigra resources in Xinjiang.
miR-429 Liposome Nanoparticles Inhibit Lung Cancer via Targeting of Hippo/YAP in Lung Cancer Mice
Authors: Jing Hui , Cao Xubo , Zhang Jinghao , Yao Xin , Wu Yanmin
Published: November 2023

The increasing incidence of lung cancer seriously threatens the safety of human life and property. At present, it is difficult for relevant drugs in clinical treatment to accurately identify and act on cancer cells. Therefore, liposome nanoparticles are used to carry related drugs and
genes for targeted therapy, which is of great significance. Hippo/YAP signaling is related to the proliferation and apoptosis of cancer cells. Therefore, in this study, the mechanism of lung cancer cells inhibition was further analyzed by constructing miR-429 liposome nanoparticles. miR-429
liposome nanoparticles were prepared and characterized and then injected into experimental group mice after successful modeling and divided into model group, miR-429 lipid nanoparticle group, Hippo/YAP inhibitor (TDI-011536) group, and Hippo/YAP activator (XMU-MP-1) group. Lung cancer cells
were taken to construct miR-429 gene silencing and miR-429 gene overexpression groups, followed by analysis of cell proliferation and levels of miR-429, Hippo and YAP. The miR-429 liposome nanoparticles promote the occurrence and development of lung cancer. The miR-429 has a certain inhibitory
effect on Hippo/YAP signaling, where it reduces Hippo/YAP signaling activity and inhibits the growth of lung cancer cells. The miR-429 liposome nanoparticles can inhibit Hippo/YAP signaling, reduce their expression, thereby inhibiting lung cancer cell growth and inducing apoptosis, so miR-429
liposome nanoparticles might be used in treating lung cancer.
Potential Mechanisms of the Ferroptosis Pathway in Iohexol-Induced Renal Injury
Authors: Yang Guokai , Pan Weitao , Zu Yanping , Yang Xian
Published: November 2023

Contrast-induced acute kidney damage (CI-AKI) is a common side effect of diagnostic imaging treatments that use iodinated contrast medium, such as Iohexol. This potential threat to renal function may cause irreversible damage, particularly through pathways such as ferroptosis. Ferroptosis is a regulated form of cell death that relies heavily on iron and reactive oxygen species. Using in vitro experiments with HK-2 cells, our study investigated the cytotoxic effects of Iohexol, with a particular focus on its potential involvement in the ferroptosis pathway. To counteract this, we synthesized poly(lactic-coglycolic acid) (PLGA) nanoparticles loaded with butyric acid and ferrostatin against ferroptosis-mediated cell damage. We assessed lipid peroxidation using malondialdehyde (MDA) assays, and measured superoxide dismutase (SOD) activity to evaluate oxidative
stress. We employed electron microscopy to examine ultrastructural changes. We also investigated the involvement of the Nuclear Factor Erythroid 2-Related Factor 2 (Nrf2)/Heme Oxygenase-1 (HO-1) pathway, which plays a crucial role in preserving cellular oxidative balance. At concentrations above 100 mg/mL, Iohexol significantly reduced the viability of HK-2 cells. However, this impact was alleviated by butyric acid and ferrostatin PLGA nanoparticles, highlighting the critical role of ferroptosis. Iohexol caused a significant increase in MDA levels, indicating heightened lipid peroxidation. However, the ferrostatin effectively suppressed this effect. Ultrastructural analysis revealed characteristic morphological changes associated with ferroptosis, including mitochondrial swelling and cristae disappearance. Moreover, we uncovered a novel association between the
G protein-coupled receptor 41 and the ferroptosis pathway. Furthermore, we observed a significant interplay with the Nrf2/HO-1 signaling pathway. In conclusion, our study provides insights into the complex molecular mechanisms involved in Iohexol-induced nephrotoxicity, with a specific emphasis on ferroptosis and Nrf2/HO-1 signaling. These findings serve as a basis for the development of potential therapeutic strategies targeting ferroptosis in the context of CI-AKI.
Zinc Oxide Nanoparticles (ZnO NPs) Treated Two Types of Osteosarcoma Cell Lines for Identifying Differentially Expressed Genes
Authors: Guo Xiangfei , Wang Linbang , Yang Honghao , He Guanping
Published: November 2023

Osteosarcoma (OS) primarily accurs in adolescents, and is more prevalent in males than females. It is characteristics by local invasive growth and early pulmonary metastases. Nanoparticles (NPs) have emerged as a promising alternative to traditional chemotherapeutic drugs due to their
high selectivity and effectiveness. Previous studies have demonstrated the potential of zinc oxide nanoparticles (ZnO NPs) as a treatment for various tumors except OS. In this study, we use RNA-seq analysis to investigate the underlying biological mechanism involved in the process of ZnO NPs-treated
different types of OS cell lines. We identified 928 differentially expressed genes (DEGs) in both 143B and MG-63 cells, and we validated the expression of the eight most significant DEGs using RT-qPCR. Gene Ontology (GO) analysis displayed regulation of transcription factor on nucleic acid
binding in molecular function term, and extracellular space in cellular components term in both OS cell lines. Additionally, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed the co-enrichment of the MAPK, Toll-like receptor, and NF-κB pathways in both OS cell lines.
Protein–protein interaction (PPI) analysis highlighted the involvement of HMOX1, MAFB, CXCL10, and CXCL11 in various biological processes in OS cells treated with ZnO NPs. Furthermore, we confirmed the key protein molecules in the differential signaling pathways of both OS cell lines
using Western Blot (WB). Our findings shed light on the potential antitumor mechanisms and exploitable bioeffects of ZnO NPs in the treatment of OS. This study provides more targets and possible mechanisms for the treatment of ZnO NPs, as well as more theoretical basis for the treatment of
OS.
Effectiveness of Calcium Alginate Dressing in Combination with Nasal Endoscopic Bipolar Electrocoagulation and Low-Temperature Plasma Knife Treatment on Bleeding Volume, Nasal Ventilation, Stress Response, and Recurrence Rate in Patients with Refractory Epistaxis
Authors: Su Yi , Guo Xinye , Nie Yan
Published: November 2023

The aim of this study was to compare the effects of nasal endoscopic bipolar electrocoagulation (BE) and low-temperature plasma knife (LPK) treatment on intractable epistaxis (IE) in order to provide a reference and guidance for future treatment options for IE. A total of 109 patients
with IE admitted to Dongying People’s Hospital from June 2021 to May 2022 were selected for the study. Of these, 58 were treated with BE (BE group) and 51 were treated with LPK (LPK group). The nasal cavities of patients in the BE and LPK groups were filled with a gelatin sponge and
calcium alginate dressing, respectively, after surgery. The clinical efficacy, operation time, hemostasis time, and intraoperative bleeding volume of the two groups were compared. Patients’ unilateral inspiratory resistance (IR), expiratory resistance (ER), bilateral total inspiratory
resistance (TIR), and total expiratory resistance (TER) were measured using a nasal resistance tester, and pain was assessed using a visual analog scale (VAS). Serum epinephrine (E), norepinephrine (NE), and cortisol (Cor) levels were also measured in patients before and after surgery, and
complications were recorded. The recurrence of IE was measured at a 6-month follow-up after discharge from the hospital. There were no differences in clinical efficacy, hemostasis time, or intraoperative bleeding between groups (P >0.05), and the operative time was longer in both
BE groups (P <0.05). In addition, postoperative IR, ER, TIR, and TER were higher in the BE group than in the LPK group, and the VAS score results were also higher at 1 d postoperatively (P <0.05). After surgery, E, NE, and Cor were elevated in both groups; more so in the
BE group than in the LPK group (P <0.05). Differences in the incidence of complications and prognostic recurrence rates between groups were not statistically significant (P >0.05).