bluuebunny/crossref_metadata_2025_split huggingface dataset:
POLYMICROBIAL AND POLYVIRUS ASSOCIATIONS IN PIGS OF DIFFERENT AGES WITH SIGNS OF RESPIRATORY PATHOLOGY ON THE EXAMPLE OF SEVERAL PIG COMPLEXES FOR 24 THOUSAND HEADS
Authors: Krasnikova E. L. , Malchik O. V. , Misteyko M. M. , Sadovsky A. L. 
Published: March 2023

The article presents data on the study of the viral-bacterial profile in pigs of different ages in the farms of the Republic of Belarus. It has been established that the maximum number of PRDC pathogens in most households is iso-lated at the age of 60−80 days, bacterial pathology accumulates gradually and, as a rule, is a secondary infection (with the exception of IAR).
The viral and bacterial profile depends on the epizootic situation in the farm, the most complete list of CRPC pathogens (11 out of 13) was observed in farm No. 4. Primary detection in samples of 60−80 day old piglets of the APP pathogen genome indicates its later infection compared to hemophiliasis pathogens and IAR. Infection with the causative agent of IAR presumably occurs in the post-weaning period up to 40 days.
Impact of Pet Ownership and Relationships on Human Psychological Health and Function
Authors: Bhatia (Maj) Deepak , Bhatia Akansha , Sarma Dhritiman 
Published: March 2023

Numerous studies have examined the effects of “pet /companion ownership and pet interactions on human psychological health and function”. Recent study on “the benefits of pets and human-animal interaction for mental health has discovered new benefits for managing stress, depression, and post-traumatic stress, as well as for stress reduction”. Interacting with animals has been demonstrated to reduce cortisol levels (a hormone associated with stress) and blood pressure. Other studies have discovered that pets help alleviate feelings of isolation, promote emotions of social support, and improve your happiness. “The biopsychosocial model has been widely used for over 40 years to describe how biological, psychological, and social processes interact to affect human health and wellbeing. Biological impacts are physiological changes, including blood pressure, cortisol, and heart rate, among others. Among the psychological influences are personality, disposition, and emotions. The term social influences refer to cultural, socioeconomic, and social ties with others, as well as family dynamics and aspects related”.
Subjectivity Bias Elimination in Employee Appraisal Process – Role of People Analytics
Authors: Saha Debadrito 
Published: March 2023

Purpose: This research serves the purpose of dealing with different types of Human Subjective Biases in Performance Management System by interview-based analysis and content analysis depending upon inputs from renowned HR professionals and then to determine if HR Analytics can help the HR practitioners in objective-decision making rather than intuition in PMS.Design/Methodology/Approach: Focused-Group-Interview approach is followed here to acquire in-depth information about Subjectivity Bias Elimination in Employee Appraisal Process and how the same can be mitigated with the help of People Analytics. Findings: This research will reveal the truth of erroneous subjective judgments based on instincts and how HR Analytics can help the HR practitioners in objective decision making rather than intuition in PMS. Originality/ Value: This research identifies factors leading to Subjectivity Bias in Employee Appraisal Process. It suggests updated criteria for HR professionals to mitigate subjectivity bias in Employee Appraisal Process with help of People Analytics.
Workplace Ostracism and Contextual Performance: The Moderating Effects of Self-Efficacy
Authors: Bhatt Bhumi , Rana Neeti 
Published: March 2023

Organizational isolation is different from social isolation. The social isolation could be due to society or the indi vidual isolating Williams, (1997) from social activities. Similar to that the organizational isolation could be due to the factors which prevail in the work environment or it could be due to the individual working in that situation. The reasons and the influencing factors are really hard to determine as we could find individuals feeling that they are secluded and isolated and ignored in work and work situations and their challenges. It also indicates that there is a need for support and helps to be provided to these employees and if left unattended would lead to depression Fowler, Wareham-Fowler & Barnes, (2013) and counterproductive behavior. The consequence of this WPO is that employee does not feel associated or related to the organization anymore as the Ferris, Brown, Berry &Lian, (2008) sense of isolation and psychological depression seem to prevail more. This could also become a mass phenomenon as this sense of isolation and depression could spread to other employees as well which indicates the seriousness of the issue. The factors of culture, religion, and ethnic diversity, Nezlek et al (2012) cross-cultural workplace and dynamics could lead to ostracism in workplace situations. As these dimensions and issues have implications for organizational development, human psychology & workplace performance it is an important dimension to be studied, evaluated, and assessed. The factors which lead to organizational ostracism have been evaluated and pro vided as abusive supervision, Wu, Wei & Hui, (2011) voice behavior, and supervisory support. Organizational sup port is helpful in mitigating organizational stress and workplace ostracism Anjum, Ming, Siddiqi & Rasool, (2018).
Reassessment of morphological species delimitations in the Cyperus margaritaceus-niveus complex using morphometrics
Authors: Xanthos Martin , Mayo Simon J. , Larridon Isabel 
Published: March 2023

Background and aims – The Cyperus margaritaceus-niveus complex is a group of ten tropical species from sub-Saharan Africa and Madagascar: C. karlschumannii, C. kibweanus, C. ledermannii, C. margaritaceus, C. niveus, C. nduru, C. obtusiflorus, C. somaliensis, C. sphaerocephalus, and C. tisserantii. They are characterised by a capitate head of white-yellow spikelets and modified culm bases and recent molecular analysis puts them in a distinct clade. The group lacks a modern taxonomic revision, and the taxa described in the Flora treatments of the past 50 years differ considerably in their circumscription. In this study, morphometric analyses are used to test species limits to establish more stable morphological delimitations of the taxa.
Material and methods – An examination of 15 morphological characters on 489 herbarium specimens was carried out and the data was analysed using Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) with cross-validation, and Classification and Regression Tree (CART) analysis. Cyperus kibweanus was not further considered due to lack of material.
Key results – Both PCA and LDA showed varying degrees of overlap in the nine remaining taxa, with no single group clearly separating in multivariate space. However, cross-validation clearly showed C. margaritaceus as a distinct entity despite its overwhelming presence in the PCA. Both LDA and CART failed to separate C. niveus as a distinct group as its specimens were dispersed among the other groups. Differing results were obtained for other taxa depending on the type of analysis. Cyperus margaritaceus, C. nduru, and C. sphaerocephalus were divided into two groups by CART but re-examination of the specimens does not definitively support the idea that these infraspecific groups represent separate taxa.
Conclusions – The results show that eight morphospecies are recognised by LDA and six morphospecies by CART. Characters used to separate the taxa in Flora treatments scored high loadings in the analysis showing their high taxonomic utility value. The methods used can be applied to resolving other complexes in the Cyperaceae.
EFFECT OF LEADERSHIP STYLES ON EMPLOYEE JOB PERFORMANCE IN MANUFACTURING INDUSTRY IN NIGERIA: A STUDY OF DUFIL PRIMA FOODS PLC, PORT HARCOURT
Authors: OMOGERO, Esegbuyota Faith  , OKWUTU, Azuka Joseph  
Published: March 2023

This study seeks to identify the effect of leadership styles on employee job performance in manufacturing industry in Nigeria: a study of Dufil Prima Foods Plc. Port Harcourt. A quantitative research methodology was used to collect numerical data for analysis and a descriptive statistics was adopted. The study focused on transformative leadership style and transactional leadership style. The study revealed that, the effects of transformation leadership styles on employee’s performance are: higher level of morality and motivation, employees’ growth, employees’ development, promotes new ideology, intelligence and better job performance. The effects of transactional leadership styles on employees’ performance are: creations of corrective and constructive behaviaour, employees’ exportation of rewards for an improve performance and employees’ recognition. It was recommended among others that managers use a composition of transformational leadership and transactional leadership as a core managerial strategy in the organization.
Keywords: Leader, Leadership Styles, Employee, Job Performance, Manufacturing Industry.
TERAPIA COMBINADA DE SUBCISÃO E MICROAGULHAMENTO PARA TRATAMENTO DE CICATRIZES ATRÓFICAS FACIAL DE ACNE EM PELE NEGRA: relato de caso
Authors: Ibargüen Maira Eugenia Morales , Rodriguez Ruth Yimna del S Blanco 
Published: March 2023

Objetivo: relatar um caso clínico de tratamento de cicatrizes atróficas de acne realizado pelas técnicas combinadas de subcisão e microagulhamento com ativos, Peptídeo Botulínico, EGF e Ácido Hialurônico (Nano tecnologia). Relato de Caso Clínico: Paciente do sexo feminino, 28 anos, fototipo cutâneo V na escala de Fitzpatrick, com presença de cicatrizes atróficas mistas de acne, nas regiões malar, temporal e frontal com cerca de 11 anos de evolução. O tratamento proposto iniciou com anestesia local, uso de cânula de orifício único introduzida entre a derme no plano subdérmico com movimentos de vai e vem em forma de leque, buscando romper os tratos fibrosos e aderêntes que provocam o aspecto deprimido das cicatrizes. Seguido de microagulhamento da região tratada com uso da dermapen com profundidade de 0,5 ml e com cartucho de 12 microagulhas. O ativo associado ao procedimento foi o dermoline Peptídeo Botulínico na concentração de 4ppm, EGF e Ácido Hialurônico, todos ativos ligados para Nano TPC. Conclusão: Conclui-se que após 4 meses do início da terapia combinada de subcisão e microagulhamento, observou-se grande melhora nas cicatrizes atróficas, com grande diferença no homegêneidade, com melhora na regularidade da pele facial e redução da pigmentação; sendo notórias as mudanças positivas em todos os aspectos.
Development of a seismic loss prediction model for residential buildings using machine learning – Ōtautahi / Christchurch, New Zealand
Authors: Roeslin Samuel , Ma Quincy , Chigullapally Pavan , Wicker Joerg , Wotherspoon Liam 
Published: March 2023

Abstract. This paper presents a new framework for the seismic loss prediction of residential buildings in Ōtautahi / Christchurch, New Zealand. It employs data science techniques, geospatial tools, and machine learning (ML) trained on insurance claims data from the Earthquake Commission (EQC) collected following the 2010–2011 Canterbury earthquake sequence (CES). The seismic loss prediction obtained from the ML model is shown to outperform the output from existing risk analysis tools for New Zealand for each of the main earthquakes of the CES.
In addition to the prediction capabilities, the ML model delivered useful insights into the most important features contributing to losses during the CES. ML correctly highlighted that liquefaction significantly influenced building losses for the 22 February 2011 earthquake. The results are consistent with observations, engineering knowledge, and previous studies, confirming the potential of data science and ML in the analysis of insurance claims data and the development of seismic loss prediction models using empirical loss data.
Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring
Authors: Moreau Ludovic , Seydoux Léonard , Weiss Jérôme , Campillo Michel 
Published: March 2023

Abstract. In the perspective of an upcoming seasonally ice-free Arctic, understanding the dynamics of sea ice in the changing climate is a major challenge in oceanography and climatology. In particular, the new generation of sea ice models will require fine parameterization of sea ice thickness and rheology. With the rapidly evolving state of sea ice, achieving better accuracy, as well as finer temporal and spatial resolutions of its thickness, will set new monitoring standards, with major scientific and geopolitical implications. Recent studies have shown the potential of passive seismology to monitor the thickness, density and elastic properties of sea ice with significantly reduced logistical constraints. For example, human intervention is no longer required, except to install and uninstall the geophones. Building on this approach, we introduce a methodology for estimating sea ice thickness with high spatial and temporal resolutions from the analysis of icequake waveforms. This methodology is based on a deep convolutional neural network for automatic clustering of the ambient seismicity recorded on sea ice, combined with a Bayesian inversion of the clustered waveforms. By applying this approach to seismic data recorded in March 2019 on fast ice in the Van Mijen Fjord (Svalbard), we observe the spatial clustering of icequake sources along the shoreline of the fjord. The ice thickness is shown to follow an increasing trend that is consistent with the evolution of temperatures during the 4 weeks of data recording. Comparing the energy of the icequakes with that of artificial seismic sources, we were able to derive a power law of icequake energy and to relate this energy to the size of the cracks that generate the icequakes.
Fixed point results for almost nonexpansive mappings in $b$-metric spaces
Authors: Goswami Nilakshi , Haokip Nehjamang 
Published: March 2023

The aim of this paper is to introduce a new class of mappings called almost nonexpansive mappings in a $b$-metric space. Some characteristics of this class of mappings are discussed.
Fixed point and common fixed point results for such mappings are obtained. An application to the Cauchy problem in a Banach space is also shown in this paper.
A use of pair (F; h) upper class on some fixed point results in probabilistic Menger space
Authors: Jafari Shahnaz , Ansari Arslan Hojat , De La Sen Manuel 
Published: March 2023

In this paper, we define the concept of (F; h)-alpha-beta-contractive mappings in probabilistic Menger space and prove some fixed point theorems for such mappings. Some examples are given to support the obtained results.
Apatite as a Probe into the Nature and Origin of Hydrothermal Fluids Responsible for U Leaching in the Lujing Granite-Related U Deposits, South China
Authors: Yu Zhiqiang , Liu Lei , Ling Hongfei , Chen Peirong , Xu Guofeng , Chen Weifeng , Hu Tianyang , Huang Di 
Published: March 2023

Abstract
Hydrothermal fluids have been suggested to be capable of leaching U and other elements (e.g., rare earth elements; REEs) from U-fertile granites to form granite-related U deposits. However, the nature and origin of the hydrothermal fluid responsible for transporting these elements are poorly constrained. Apatite accommodates both U and REEs, and its composition can be modified by hydrothermal fluids with certain compositions. This study investigated in situ chemical and Sr-Nd isotope compositions of primary apatite in altered wall granites from the Lujing U deposits in the Zhuguang batholiths. Large-scale alterations of apatite occurred during the hematitization stage. Uranium was extensively leached out of the apatite, and its total REE concentrations were decreased from as high as 12,667 ppm to a few hundred ppm during the alteration, whereas REE-bearing mineral inclusions were absent in altered apatites. The release of U and REEs was associated with decrease of Na, Mn, and Fe and increase of Ca, Cl, and Eu anomalies in altered regions of apatite. According to apatite compositional variations, the fluid that induced hematitization was oxidizing, rich in Ca and Cl, but poor in Na. The elevated Cl in the fluid is crucial for mobilizing both U and REEs, whereas PO43− can also be a major ligand for U6+ transport given the massive dissolution of apatite during the leaching process. Altered regions of apatite contain high radiogenic strontium, implying assimilation of the fluid by clastic sediments in the adjacent red-bed basins sourced from the Precambrian crystalline basement rocks. The oxidizing, Ca- and Cl-rich, but Na- and F-poor fluid that induces hematitization shows significant potential in leaching U and REEs from the wall granite and providing ore-forming materials for U mineralization.
Preface: 2022 International Conference on Wind Power, Energy Materials and Devices (WPEMD 2022)
Authors: Bessemer Augustine , Tang Jiajie 
Published: March 2023

In order to accelerate the development of wind power, smart grids and green energy, promote in-depth integration of the energy materials and energy devices, and foster new growth areas, we hosted the 2022 International Conference on Wind Power, Energy Materials and Devices (WPEMD 2022) in Mumbai, India during November 26-27, 2022.
WPEMD 2022 aimed to provide a platform for experts and scholars, engineers and researchers to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic achievements. It also helps to promote communication between researchers and practitioners working in a variety of scientific fields, with a focus on improving wind power and green energy related technologies.
About 80 participants from academic, high-education institutes and other organizations took part in the conference. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 8-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches.
The proceedings present a selection of high-quality papers submitted to the conference by researchers from universities, research institutes, and industry. All papers were subjected to peer-review by conference committee members and international reviewers. The papers were selected based on their quality and their relevance to the conference.
I would like to express special gratitude to members of the conference committee and organizers of the conference. I would also like to thank the reviewers for their valuable time and advice which helped in improving the quality of the papers selected for presentation at the conference and for publication in the proceedings.
With our best regards,
Conference Organizing Chair
Mumbai, India
Interventions for Changing Brain Function in Clinical Disorders
Authors: Yuan Meng , Zhu Qingjun 
Published: March 2023

Historically, restoring brain function after injury or disease has been extremely difficult. However, over the past few decades, new techniques have emerged for reversing or postponing the deficits in behavior that accompany such injury. This paper reviews several current interventions for improving brain function in clinical settings: deep-brain stimulation, transcranial magnetic stimulation, physical exercise, and cognitive training. These interventions have been used in a wide range of clinical disorders, including Parkinson’s Disease, Alzheimer’s Disease, Huntington’s Disease, depression, stroke, and various psychiatric conditions. Findings suggest that these clinical interventions are associated with relatively modest improvements in outcome and should not be considered first-line treatments for most disorders. However, ongoing research continues to refine these techniques to establish more reliable neural pathways for improving clinical outcomes; to more precisely understand the neural mechanisms underlying various disorders; and to improve the delivery of the interventions.
The Effect of H50Q Mutation on the Interaction between α-Synuclein and Lipid
Authors: Zhong Ming 
Published: March 2023

The abnormal aggregation of α-synuclein (αSyn) is considered as connection with the development of synucleinopathies such as Parkinson’s disease, and lipid could be one of crucial inducers. Familial Parkinson’s disease (FPD) mutation of αSyn can change its properties and may impact its interactions with lipid. In this study, using multiple fluorescence techniques, we found that H50Q mutation can increase αSyn binding to synaptic-like vesicle, which could be helpful to uncover the H50Q mutation-related pathology of αSyn.
Battling Non-Small Cell Lung Carcinoma: Applying Biomarkers Testing to Pick the Best Immune Checkpoint Inhibitors Therapy
Authors: Xiong Lin 
Published: March 2023

Immune checkpoint inhibitors is a new treatment for Non-Small Cell Lung Carcinoma. Benefit from such ICI therapy, however, have been enjoyed by a minority of NSCLC patients, and durable clinical outcomes are scarce. Thus, identifying reliable biomarkers to predict patients’ possible response, and to indicate the progression status of tumors to further refine ICIs’ application in treating NSCLCs is of decisive importance. However, as ICIs are novel therapies applied for only a decade, long-term post-treatment follow-ups are scant, and the probing or detection methods for biomarkers may not be as reliable as believed. Thus, many of the biomarkers require further investigations to elucidate their exact role in varying NSCLC microenvironments. Based on previously established results and integrating updated clinical data, this review lists the 2 currently accepted ICI therapeutic regimens, presents their respective mechanisms of action and their corresponding predictive or prognostic biomarkers currently available. This systematic categorization of biomarkers to respective therapies may inform clinicians about the use of ICI therapies and raise their attention to emerging and established biomarkers in new treatment strategies.