bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related financial risks
Authors: Garrido-Merchán Eduardo C. , González-Barthe Cristina , Coronado-Vaca María 
Published: November 2023

Abstract
In recent years there has been a growing demand from financial agents, especially from particular and institutional investors, for companies to report on climate-related financial risks. A vast amount of information, in text format, can be expected to be disclosed in the short term by firms in order to identify these types of risks in their financial and non-financial reports, particularly in response to the growing regulation that is being passed on the matter. To this end, this paper applies state-of-the-art NLP techniques to achieve the detection of climate change in text corpora. We use transfer learning to fine-tune two transformer models, BERT and ClimateBert -a recently published DistillRoBERTa-based model that has been specifically tailored for climate text classification-. These two algorithms are based on the transformer architecture which enables learning the contextual relationships between words in a text. We carry out the fine-tuning process of both models on the novel “ClimaText” database, consisting of data collected from Wikipedia, 10K Files Reports, and web-based claims. Our text classification model obtained from the ClimateBert fine-tuning process on ClimaText, outperforms the models created with BERT and the current state-of-the-art transformer in this particular problem. Our study is the first one to implement the recently published ClimateBert algorithm on the ClimaText database. Based on our results, it can be said that ClimateBert fine-tuned on ClimaText is an outstanding tool within the NLP pre-trained transformer models that may and should be used by investors, institutional agents, and companies themselves to monitor the disclosure of climate risk in financial reports, as well as in other textual sources, such as policies, new legislation or directives passed on this matter. In addition, our transfer learning methodology is cheap in computational terms, thus allowing any organization to perform it.
Design, Validation, and Examination of the Performance Improvement of Dewatering System Implemented for Biogas Slurry
Authors: Yadav Sunil 
Published: November 2023

Abstract
The project addresses the pressing need for organic fertilizers in Nepal and explores an eco-friendly alternative to chemical fertilizers. By dewatering biogas residue, this research contributes to sustainable agriculture practices. The project's methodology involved a combination of research, literature recommendations, and guidance from experienced supervisors. SolidWorks was utilized for the design phase, while ANSYS facilitated simulation works. Subsequently, the testing of the dewatering machine was conducted. The biogas slurry used for testing and sun-drying was sourced from a prototype 1m3 capacity biogas plant. The machine's performance was evaluated at various operating speeds, with 8 rpm identified as the most efficient. Notable outcomes included a liquid yield of 52.51%, an extraction efficiency of 79.11%, and extraction losses amounting to 22.80%. To enhance the quality of the organic fertilizer, the slurry sample underwent sun-drying for different durations: 24, 48, and 72 hours. Nutrient concentrations (TS, N, P, K) were analyzed, that came with the 48-hour sun-drying period proving to be the most effective in reducing Total Solid contents. Comparatively, pre-treating the slurry sample for 24 and 48 hours prior to testing in the dewatering machine allowed for an assessment of the machine's efficiency, offering valuable insights to be contrasted with the sun-drying process. This research paves the way for a greener, more efficient method of dewatering biogas slurry, aligning with Nepal's agricultural and environmental sustainability goals.
Microalgae biomass as a conditioner and regulator of soil quality and productivity
Authors: Lorentz Juliana Ferreira , Calijuri Maria Lúcia , Rad Carlos , Cecon Paulo Roberto , Assemany Paula Peixoto , Martinez Jorge Miñon , Kholssi Rajaa 
Published: November 2023

Abstract
Characteristics of an acid soil cultivated with Uruchloa brizantha cv. Marandu were evaluated in relation to two types of fertilization: a conventional one, chemical based on nitrogen and potassium, and a biological one, based on microalgae biomass. The results were compared among three treatments: control, conventional, and biological fertilization, with seven replications each. The study evaluated microalgae community, total carbon and nitrogen contents, mineral nitrogen, and enzymatic activity. Chlorella vulgaris showed the highest organism density, which can be explained by its rapid growth and high resistance. The highest species diversity was detected in the control 1,380,938 org.(cm3)−1 and biological 1,841,250 (org.(cm3)−1 treatments, with the latter showing a higher density of cyanobacteria, especially Pseudanabaena limninetica with 394,554 org. (cm3)−1. The soil treated with chemical fertilization showed higher nitrate (9.14 mg.NKg− 1 NO3−-N) and potassium (52.32 mg.dm− 3) contents. The highest levels of sulfur (21.73 mg.dm− 3) and iron (96.46 mg.dm− 3) were detected in the biological treatment. The chemical treatment showed higher activity of the enzymes acid phosphatase, acetilglucosaminidase, and sulfatase, while α-glucosidase and leucine-aminopeptidase stood out in the biological treatment. Soil properties were not significantly affected by the treatments. The use of microalgae biomass derived from wastewater treatment from milking parlors was evaluated and presented as a promising fertilizer for agriculture, following the line of recovering nutrient-rich wastes. In this sense, although many challenges need to be overcome, the results suggest that microalgae-based fertilizers could lead to low-impact agriculture.
The pine sawyer beetle alters oviposition strategy in response to extreme high temperatures
Authors: Li Hui , Li Shouyin , Chen Jin , Tan Yushan , Ye Jianren , Hao Dejun 
Published: November 2023

Abstract
The frequency and intensity of extreme high temperatures (EHTs) are increasing due to the climate warming. Insects have evolved a range of thermotolerance mechanisms to cope with EHTs, whereas there is limited research available on the alteration oviposition strategies under EHTs. This study aims to investigate the impacts of EHTs on the fertility and oviposition strategy of pine sawyer beetle, Monochamus alternatus, a destructive forestry pest. Both male and female adults exhibited a decline in reproductive performance under EHTs. Additionally, M. alternatus females generally laid one egg within one oviposition slit to minimize offspring competition. After EHTs treatments, it was firstly found that the females laid multiple eggs, which was characterized as a novel oviposition strategy. The elicitation of this novel oviposition strategy was negatively correlated with the hatchability of offspring and count of sperms in spermatheca. Furthermore, the hatchability of eggs laid by novel oviposition strategy was significantly lower than that of eggs laid individually. The novel oviposition strategy may help alleviate adverse effects of EHTs on M. alternatus by conserving energy, contributing to the long-term survival of the population. Our findings discovered a novel direction for the behavioral adaptation of insect species in the context of climate warming.
Impact of PSMA PET/CT on the therapeutic decision of Prostate Carcinoma Biochemical Recurrence: a retrospective analysis at the Brazilian public health service.
Authors: Silva Anna Carolina Borges da , de Toledo Luís Gustavo Morato , Fernandes Roni de Carvalho , Ziroldo Alan Rechamberg , Sawczyn Guilherme Vinícius , Alarcon Shirleneq Tettmann , Lewin Fábio 
Published: November 2023

Abstract
Background.
Prostate cancer (PCa) is the most common malignant tumor in males and biochemical relapse (BCR) consists of a challenging scenario compared to primary staging due to small volume of disease and low PSA levels. Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) presents superior performance and strongly affects therapeutic choice.
Objective.
The objective of this study was to evaluate the impact of PSMA PET, compared to conventional imaging methods, on BCR therapeutic approach in patients treated at the public Brazilian health system.
Methods.
128 patients diagnosed with BCR were evaluated using PSMA after conventional imaging. Disease extension defined by PET was compared with conventional imaging; staging / extension changes and therapeutic management impact were then determined. PET comparison with conventional imaging and decision-making changes were analyzed using descriptive statistics and statistical tests.
Results.
Disease detection rate was 60% and 41% using PSMA and conventional exams, respectively. PET detection rates and sensitivity increased proportionally to the increase in PSA levels and no statistically significant difference was observed in the rate of disease detection between patients with and without androgen blockade. After disclosure of PET findings and the results of the confrontation with conventional imaging, the board changed the management decision in 36% of the patients with and locoregional treatment indication was predominant.
Conclusions.
The impact of PSMA on BCR therapeutic management, when compared to conventional exams, is significant, favoring the indication of locoregional salvage treatments and PSMA cost-effectiveness over traditional investigation has been demonstrated in other countries.
Event Reduction in Localization of DES Supervisory Control
Authors: Saeidi Vahid , Afzalian Ali A. , Gharavian Davood 
Published: November 2023

Abstract
Supervisor localization procedure has been employed to construct local controllers corresponding to component agents in discrete-event systems. The proposed method in [11] is based on state reduction of a monolithic supervisor with respect to each set of controllable events corresponding to each component agent. A supervisor is localizable if state cardinality in each local controller is less than the number of states in the reduced supervisor, constructed by the proposed method in [10]. A supervisor is reducible if state cardinality of the constructed generator by the supervisor reduction procedure is less than the number of states of the original supervisor. In this paper, we define exclusive control consistency (ECC) property for a pair of states and prove that this property is a sufficient condition to guarantee reducing the event cardinality in each local controller comparing to the reduced supervisor. It is shown that reducibility and localizability properties are stronger than having ECC states in the original supervisor. The implementation of local controllers on industrial systems is facilitated by state reduction, whereas communication traffic between each pair of local controllers is reduced by event reduction.
Impact of job stress on job satisfaction for nursing staff: A survey in healthcare services in Yemen
Authors: Alraimi Ammar Ali , Shelke Abhijeet 
Published: November 2023

Abstract
This study looks at the effect of job-related stress on the job satisfaction of nursing staff in hospitals. Job stress is one of the most significant workplace health concerns for employees, and job satisfaction has been identified as an important factor in the delivery of high-quality services and superior performance at hospitals. This paper presents a field survey. Drawing on a sample of 362 nurses operating in Yemeni hospitals, we examined the degree to which stressors such as conflict, workload, interpersonal relationships, career development, information access, physical surroundings, career prospects, management style, job enrichment, rewards, and job security are all factors that influence job satisfaction. Conflict, excessive workload, and a lack of job autonomy were shown to be negatively correlated with all job satisfaction characteristics, whereas a lack of information access and feedback was found to be positively associated with employees' satisfaction with rewards and job security.
Distribution pattern of dissolved organic matter in pore water of sediments from three typical areas of western Lake Taihu and its environmental implications
Authors: Li Zhichun , Wu Songjun , Yu Hao , Qiu Huili , Jiang Quanliang , Deng Yang , Gui Herong , Wang Guoxiang , Xu Xiaoguang 
Published: November 2023

Abstract

The migration, transformation, and accumulation of dissolved organic matter (DOM) in pore water of sediment cores play a pivotal role in lacustrine carbon cycling. In order to understand the dynamics of DOM in the sediments of large shallow eutrophic lakes, we examined the vertical profiles of DOM and the benthic fluxes of dissolved organic carbon (DOC) in sediment cores located in algae accumulated, dredged, and central areas of eutrophic Lake Taihu, China. Optical properties showed the significant influence of terrestrial inputs on the DOM components of pore water in the algae accumulated area but an abundant accumulation of autochthonous DOM in the central area. The benthic fluxes of DOC ranging from −458.2 to −139.4 mg·m−2·d−1 in the algae accumulated area displayed an opposite diffusion direction to the other two areas. The flux ranges of 9.5–31.2 mg·m−2·d−1 in the dredged area and 14.6–48.0 mg·m−2·d−1 in the central area were relatively smaller than those in the previously reported lake ecosystems with low trophic levels. Dredging engineering disturbed the pre-dredging distribution patterns of DOM in sediment cores. The deposition, accumulation, and transformation of massive algae scums in eutrophic lakes probably promoted the humification degree of sediments.
COVID-19 Pandemic and its Economic Impact on the Global Economy: A
Computable General Equilibrium Approach
Authors: Sone Esambe , Ko Jong-Hwan 
Published: November 2023

Introduction:
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-
2, has been a global health crisis since its emergence in late 2019, impacting all aspects of life
worldwide. It has revealed vulnerabilities in healthcare systems while also inspiring scientific advancements
and cooperation in developing vaccines, highlighting the importance of preparedness
and equitable healthcare for future challenges.

Method:
This paper evaluates the economic impact of the COVID-19 pandemic on the global
economy. The study employed the Global Trade Analysis Project model using GTAP database
version 10A with 2014 as the base year. The database's 141 regions and 65 sectors are aggregated
into 20 regions and 29 sectors. The model used involves a baseline and two policy scenarios. The
baseline scenario projected the global economy to 2020 from 2014 using macroeconomic variables,
such as real GDP, population, capital stock, and labor supply. Policy scenarios 1 and 2 accounted
for the impact of the COVID-19 pandemic and fiscal stimulus package, respectively.

Result:
The impacts of the pandemic are measured in real GDP, welfare, export and import volumes,
trade balance, and output by sector. Simulation results indicate that the real GDP for all
regions declined. The impact of COVID-19 on the welfare of countries, including Korea, Japan,
the US, Mexico, China, Italy, and Great Britain, varied. In all these countries, the pandemic highlighted
existing inequalities and vulnerabilities, affecting countries disproportionately. Government
interventions, such as stimulus packages, income support programs, and vaccination campaigns,
have aimed to mitigate the impact and support the welfare of the population. The pandemic disrupted
global supply chains and increased trade costs, thereby negatively impacting both import
and export volumes. The output of some sectors, such as tourism-related sectors, was heavily affected.

Conclusion:
The COVID-19 pandemic has impacted real GDP, welfare, export and import volumes,
trade balance, and output by sector. By examining the specific implications of the pandemic
on each of these economic factors, policymakers and researchers can gain valuable insights into the
challenges faced and potential avenues for recovery.
Digital Personal Health Coaching Platform for Promoting Human Papillomavirus Infection Vaccinations and Cancer Prevention: Knowledge Graph-Based Recommendation System
Authors: Ammar Nariman , Olusanya Olufunto A , Melton Chad , Chinthala Lokesh , Huang Xiaolei , White Brianna M , Shaban-Nejad Arash 
Published: November 2023

Background
Health promotion can empower populations to gain more control over their well-being by using digital interventions that focus on preventing the root causes of diseases. Digital platforms for personalized health coaching can improve health literacy and information-seeking behavior, leading to better health outcomes. Personal health records have been designed to enhance patients’ self-management of a disease or condition. Existing personal health records have been mostly designed and deployed as a supplementary service that acts as views into electronic health records.

Objective
We aim to overcome some of the limitations of electronic health records. This study aims to design and develop a personal health library (PHL) that generates personalized recommendations for human papillomavirus (HPV) vaccine promotion and cancer prevention.

Methods
We have designed a proof-of-concept prototype of the Digital Personal Health Librarian, which leverages machine learning; natural language processing; and several innovative technological infrastructures, including the Semantic Web, social linked data, web application programming interfaces, and hypermedia-based discovery, to generate a personal health knowledge graph.

Results
We have designed and implemented a proof-of-the-concept prototype to showcase and demonstrate how the PHL can be used to store an individual’s health data, for example, a personal health knowledge graph. This is integrated with web-scale knowledge to support HPV vaccine promotion and prevent HPV-associated cancers among adolescents and their caregivers. We also demonstrated how the Digital Personal Health Librarian uses the PHL to provide evidence-based insights and knowledge-driven explanations that are personalized and inform health decision-making.

Conclusions
Digital platforms such as the PHL can be instrumental in improving precision health promotion and education strategies that address population-specific needs (ie, health literacy, digital competency, and language barriers) and empower individuals by facilitating knowledge acquisition to make healthy choices.
CUIDADO DE LA SALUD EN HIJOS E HIJAS LACTANTES Y PREESCOLARES DE MADRES MIGRANTES LATINOAMERICANAS
Authors: González-Campos M. Cristina , Zepeda-Vega Carolina 
Published: November 2023

Introducción: El incremento de la población que ha migrado hacia Chile en las últimas décadas, plantea interrogantes relacionadas con el derecho a la salud de niños y niñas a cargo de mujeres que compatibilizan el empleo y las distintas formas de cuidado culturalmente aceptadas. Objetivo: Comprender las prácticas de cuidado de la salud de madres migrantes latinoamericanas con respecto a sus hijos/as, región de Atacama, Chile. Metodología: Estudio interpretativo, desde la etnografía situada; muestras de máxima variación, cuya unidad de análisis son las madres migrantes latinoamericanas con independencia de su situación migratoria; criterio de inclusión: con hijos menores de seis años, y residentes de las comunas de Copiapó y Diego de Almagro. Se aplicó entrevista en profundidad. Resultados: Se entrevistó a 10 madres migrantes provenientes de Colombia, Bolivia, Perú y Cuba con un rango de estadía en Chile de 3 a 15 años, con hijos lactantes y pre-escolares de hasta seis años; la mayoría con empleos remunerados en actividades de servicios y usuarias del Sistema Público de Salud (SPS). Las principales categorías son: proceso migratorio, autocuidado y cuidado de la salud de hijos(as) a nivel doméstico y derecho a la salud. Conclusiones: El cuidado y autocuidado de la salud a nivel doméstico permite enfrentar problemas de salud con acento en prácticas culturales aprendidas en sus países de origen; sin embargo, dependiendo de la complejidad de éstos, van haciendo uso del sistema formal de salud chileno y en algún grado ejercen su derecho a la salud.
Cavitron extraction of xylem water suggests cryogenic extraction biases vary across species but are independent of tree water stress
Authors: Duvert Clement , Margarit Adria Barbeta , Hutley Lindsay , Rodriguez Leidy , Irvine Dylan J. , Taylor Andrew 
Published: November 2023

Cryogenic vacuum distillation (CVD) is a widely used technique for
extracting plant water from stems for isotopic analysis, but concerns
about potential isotopic biases have emerged. Here, we leverage the
Cavitron centrifugation technique to extract xylem water and compare its
isotopic signature to that of CVD-extracted stem water as well as source
water. Conducted under field conditions in tropical northern Australia,
our study spans seven tree species naturally experiencing a range of
water stress levels. Our findings reveal a significant deuterium bias in
CVD-extracted bulk stem water when compared to xylem water (median
bias -14.9‰), whereas xylem water closely aligned with
source water (median offset -1.9‰). We find substantial
variations in deuterium bias among the seven tree species (bias ranging
from -19.3 to -9.1‰), but intriguingly, CVD-induced biases
were unrelated to environmental factors such as relative stem water
content and pre-dawn leaf water potential. These results imply that
inter-specific differences may be driven by anatomical traits rather
than tree hydraulic functioning. Additionally, our data highlight the
potential to use a site-specific deuterium offset, based on the isotopic
signature of local source water, for correcting CVD-induced biases.
APPLICATION OF THE ANALYTICAL HIERARCHY PROCESS (AHP) METHOD IN EMPLOYEE REWARDS DECISION MAKING
Authors: Syah Bayu Erdian , Achsa Andhatu , Ikhwan Khairul 
Published: November 2023

Penelitian ini bertujuan merumuskan metode untuk membantu pengambilan keputusan rewards melalui studi kasus UMKM UD Restu Bunda. UMKM merupakan usaha dalam ekonomi kreatif yang tahan guncangan ketidakpastian kondisi ekonomi. Ambisi yang kuat mengembangkan usaha justru menjadi bumerang karena banyak hal sering terabaikan, semakin besar suatu usaha maka semakin kompleks sistem manajemen yang dijalankan, salah satunya manajemen rewards. Rewards merupakan apresiasi karyawan berdasarkan kriteria, walaupun tidak ada peraturan yang menyatakan bahwa pemilik usaha wajib memberikan rewards, namun kenyataannya pemberian rewards juga dapat memicu konflik internal terutama bagi UMKM yang belum memiliki sistem pemberian rewards terstruktur dan rasional.
Penelitian ini menggunakan metode Analitycal Hierarchy Process (AHP) dikombinasikan dengan alat bantu Expert Choice 11 (EC 11) dan Microsoft Excel. Hasil penelitian ini utamanya berupa pengembangan rumus dimana modifikasinya yaitu penemuan koefisien nilai kinerja yang berfungsi menjaga nilai tukar skor penilaian kinerja terhadap dana yang disediakan, nilai tukar tidak akan berubah dengan catatan tidak ada perubahan jumlah karyawan dan dana sehingga dapat mencegah terjadinya pembengkakan biaya. Berdasarkan simulasi yang dilakukan pada UMKM UD Restu Bunda ditemukan terdapat 4 aspek penting yang harus lebih diperhatikan saat melakukan penilaian kinerja yaitu loyalitas, kualitas kerja, komunikasi, dan kedisiplinan.
Kata Kunci: Manajemen Rewards; Rewards; UMKM; Analitycal Hierarchy Process, Expert Choice 11