bluuebunny/crossref_metadata_2025 huggingface dataset:
Telemedicine use and decrements to type 2 diabetes and hypertension care during the COVID-19 pandemic
Authors: Rodriguez Hector P. , Ciemins Elizabeth , Rubio Karl , Rattelman Cori , Cuddeback John K. , Mohl Jeff T. , Bibi Salma , Shortell Stephen M.
Published: January 2024

Background

We examine pandemic-era quality of care changes associated with telemedicine use among adults with type 2 diabetes and/or hypertension across ten health systems.

Methods

Patient-level encounter and laboratory data (n = 1,963,563) were analyzed for pre-pandemic (March 13, 2019 to December 31, 2019) and pandemic (March 13, 2020 to December 31, 2020) periods. Generalized linear models with binomial distribution functions and log links estimated the association of telemedicine use with four outcomes: 1) hemoglobin A1c (HbA1c) testing, 2) HbA1c control (< 8.0%), 3) blood pressure (BP) testing, and 4) BP control (< 140 / 90 mmHg), controlling for patient characteristics, system fixed effects, and with propensity score weights.

Results

In adjusted analyses, telemedicine use was associated with lower odds of HbA1c (aOR = 0.74, p < 0.05) and BP (aOR = 0.40, p < 0.01) testing for adults with type 2 diabetes, but not HbA1c or BP control. Among hypertension-only patients, telemedicine use was associated with lower odds of BP testing (aOR = 0.10, p < 0.001), but not BP control. Compared to pre-pandemic telemedicine use, pandemic period telemedicine use was associated with lower odds of HbA1c and BP monitoring.

Discussion

Telemedicine use was associated with lower odds of HbA1c monitoring for adults with type 2 diabetes and lower odds of BP testing for adults with type 2 diabetes and/or hypertension.

Conclusion

As telemedicine continues to be used for diabetes and hypertension care, remote monitoring, standing orders, and community pharmacy partnerships may be necessary supplements to telemedicine to assure high quality care, especially when in-person care options are limited.
The process and perspective of serious incident investigations in adult community mental health services: integrative review and synthesis
Authors: Haylor Helen , Sparkes Tony , Armitage Gerry , Dawson-Jones Melanie , Double Keith , Edwards Lisa
Published: January 2024

Aims and method

Serious incident management and organisational learning are international patient safety priorities. Little is known about the quality of suicide investigations and, in turn, the potential for organisational learning. Suicide risk assessment is acknowledged as a complex phenomenon, particularly in the context of adult community mental health services. Root cause analysis (RCA) is the dominant investigative approach, although the evidence base underpinning RCA is contested, with little attention paid to the patient in context and their cumulative risk over time.

Results

Recent literature proposes a Safety-II approach in response to the limitations of RCA. The importance of applying these approaches within a mental healthcare system that advocates a zero suicide framework, grounded in a restorative just culture, is highlighted.

Clinical implications

Although integrative reviews and syntheses have clear methodological limitations, this approach facilitates the management of a disparate body of work to advance a critical understanding of patient safety in adult community mental healthcare.
DXA-based Fat Mass With Risk of Worsening Insulin Resistance in Adolescents: A 9-Year Temporal and Mediation Study
Authors: Agbaje Andrew O , Saner Christoph , Zhang Jie , Henderson Mélanie , Tuomainen Tomi-Pekka
Published: January 2024

Context

Surrogate measures of childhood and adolescent obesity have impaired the understanding of the relationship of body composition with insulin resistance in the young population.

Objective

We aim to examine the longitudinal associations of directly measured total fat mass, trunk fat mass, and lean mass with the risk of hyperglycemia, hyperinsulinemia, and insulin resistance from ages 15 to 24 years, the mediation path through which lipids and inflammation influence insulin resistance, and whether increased fat mass temporally precede insulin resistance.

Methods

We studied 3160 adolescents from the Avon Longitudinal Study of Parents and Children (ALSPAC), UK birth cohort, who had complete dual-energy x-ray absorptiometry measure and fasting blood samples at age 15 years and repeated measures at ages 17- and 24-years clinic visit. Fasting glucose greater than 6.1 mmol/L, insulin greater than 11.78 mU/L, and homeostatic model assessment for insulin resistance (HOMA-IR) greater than or equal to the 75th percentile were categorized as hyperglycemia, hyperinsulinemia, and high insulin resistance, respectively. Longitudinal associations were examined with generalized logit-mixed-effect models, while mediation and temporal path analyses were examined using structural equation models, adjusting for cardiometabolic and lifestyle factors.

Results

Among 3160 participants (51% female), fat mass and lean mass increased linearly both in males and females, while glucose, insulin, and HOMA-IR had a U-shaped course from age 15 through 24 years. After full adjustment, each 1-kg cumulative increase in total fat mass (odds ratio 1.12 [95% CI, 1.11-1.13]) and trunk fat mass (1.21 [1.19-1.23]) from ages 15 through 24 years were associated with a progressively worsening risk of high insulin resistance as well as hyperglycemia and hyperinsulinemia. The association of increased total fat mass with increased insulin resistance was partly mediated by triglycerides (9% mediation). In the temporal path analysis, higher total fat mass at age 15 years was associated with higher insulin resistance at age 17 years, but not vice versa. Higher total fat mass at age 17 years was bidirectionally associated with higher insulin resistance at 24 years.

Conclusion

Mid-adolescence may be an optimal time for interrupting the worsening fat mass–insulin resistance pathologic cycle and attenuating the risk of progressively worsening metabolic dysfunction before young adulthood.
Intercellular contact and cargo transfer between Müller glia and to microglia precede apoptotic cell clearance in the developing retina
Authors: Morales Michael , Findley Anna P. , Mitchell Diana M.
Published: January 2024

To clarify our understanding of glial phagocytosis in retinal development, we used real-time imaging of larval zebrafish to provide cell-type specific resolution of this process. We show that radial Müller glia frequently participate in microglial phagocytosis while also completing a subset of phagocytic events. Müller glia actively engage with dying cells through initial target cell contact and phagocytic cup formation, after which an exchange of the dying cell from Müller glia to microglia often takes place. In addition, we find evidence that Müller glia cellular material, possibly from the initial Müller cell phagocytic cup, is internalized into microglial compartments. Previously undescribed Müller cell behaviors were seen, including cargo splitting, wrestling for targets and lateral passing of cargo to neighbors. Collectively, our work provides new insight into glial functions and intercellular interactions, which will allow future work to understand these behaviors on a molecular level.
A Secure Method of Communication Through BB84 Protocol in Quantum Key Distribution
Authors: Anilkumar Chunduru , Lenka Swathi , Neelima N. , V E Sathishkumar
Published: January 2024

Security awareness is one of the most pressing topics in today's globe. The idea of cryptography is introduced when the subject is information security. Conventional cryptography-based security techniques rely on the presumption that keys are shared before secure connections. The most crucial factor to consider when integrating cryptographic operations into account when integrating cryptographic operations in with any system is the safe key management strategy required for sending and transferring a secret key between two entities The systems will be vulnerable to bugs and possibly fatal external assaults if the fundamental management methods are poor A method for securely encrypting data sent between parties is quantum cryptography. and spotting eavesdroppers trying to overhear the conversation. Quantum cryptography may be the solution to these issues a quantum cryptography application, Quantum Key Distribution (QKD), refers to the production of a cryptographic key with unconditional security assured by physical rules. Quantum cryptography is a kind of encryption. We examine the quantum key exchange protocol (BB84 protocol) in this study and the way that it significantly improves data transfer security when compared to standard encryption techniques. The main objective of quantum cryptography is to offer a trustworthy way to provide a secure method of communication between the intended peers only and to detect the Eavesdropper presence.
Analysis and Application of Big Data Feature Extraction Based on Improved k-means Algorithm
Authors: Yang Wenjuan
Published: January 2024

This paper addresses the challenges modelled by collecting and storing large volumes of big data, focusing on mitigating data errors. The primary goal is to propose and evaluate an enhanced K-means algorithm for big data applications. This research also aims to design an extensive energy data system to demonstrate the improved algorithm's practical utility in monitoring power equipment. The research begins with an in-depth analysis of the traditional K-means algorithm, culminating in the proposal of an improved version. Subsequently, the study outlines developing a comprehensive, extensive energy data system, encompassing architectural aspects such as data storage, mechanical layers, and data access structures. The research also involves the development of a power big data analysis platform, incorporating the improved algorithm for clustering and analyzing power equipment monitoring data. Experimental results reveal that the proposed improved K-means algorithm outperforms the traditional version, with significantly improved accuracy and reduced classification errors, achieving an error rate of less than one. The improved K-means algorithm showcased remarkable enhancements, achieving a meagre misclassification rate of just 0.08% while substantially boosting accuracy levels, consistently exceeding 95% across all datasets. Moreover, the power big data system developed in this study to meet practical requirements while enhancing storage and processing efficiency effectively.
Preschool Teachers Teaching Quality Evaluation Based on Neural Network Algorithms
Authors: Cai Hongxia
Published: January 2024

Based on the current teaching situation of preschool teachers, in order to comprehensively evaluate the effectiveness of early childhood teaching, research have constructed a teaching quality evaluation model using fuzzy synthesis method and expert method. This model can handle the fuzzy relationship between evaluation indicators and achieve the evaluation of teaching quality. Considering that the teaching evaluation is influenced by many factors, the Genetic Algorithm back propagation (GA-BP) neural network algorithm is chosen for the solution model construction of the preschool teacher teaching quality. The entropy method chosen for the data calculation is to complete the preschool teaching quality evaluation. In the mean square error test for solving the model, the improved GA-BP model converged after 40 iterations with the model convergence speed increased by 34.65%. In the evaluation and prediction of preschool teacher indicators, the improved GA-BP model accurately evaluated the teacher classroom teaching indicators. In sample 3, sample 6, and sample 9, the improved GA-BP model scored 91, 89, and 88 points, respectively, close to the true scoring results. The improved model’s accuracy was high as 90% in teacher skills, personality charm, and academic research evaluation. The improved model also effected better in the application of the preschool teaching quality evaluation. The application effect of this model in teaching effectiveness evaluation and teacher quality evaluation is good, providing valuable reference for the establishment of early childhood education evaluation system.
Assessing Digital Teaching Competence: An Approach for International Chinese Teachers Based on Deep Learning Algorithms
Authors: Yang Liqing , Wang Qicheng , Zheng Borui , Li Xuan , Ma Xitong , Wang Tianyu
Published: January 2024

Digital Teaching Competency (DTC) is an important skill in the professional development of international Chinese language teachers. This study developed a new deep learning-based assessment model of DTC for international Chinese language teachers. To build this model, the researchers first collected data on DTC from 221 international Chinese language teachers at different levels in 26 countries to ensure that these sample data are representative; secondly, clustering and feature dimensionality reduction techniques were used to preprocess the data and constructed the Siamese architectural model; and finally, the researchers confirmed through experimental validation and expert evaluations that the model has a high accuracy rate of 96.33%. The innovation of this model is to use the traditional three-level network as an improved constructed digital twin network, so as to extract some features that are more accurate and to characterize those features that are most predictive. The improved network is able to extract all the inputs globally and also locally that are of most interest to the user/researcher, the final prediction results are weighted, and those weighted results are used as the final prediction output of the model. This model not only provides systematic and adaptive support for improving teachers' DTC, but through the comprehensive result output, it can provide targeted improvement strategies for teachers to improve their DTC.
Configuration of Container Deployments on the Compute Continuum using Alien4Cloud
Authors: Spataru Adrian , Aperribay Julen
Published: January 2024

This paper presents the drawbacks and benefits of using Alien4Cloud as a platform for deploying container-based applications on the Compute Continuum. To achieve this, a plugin has been developed to deploy container-based applications in multiple Kubernetes clusters and to configure the containers based on their dependencies. More specifically, our implementation has been validated using a system of two Kubernetes clusters (one in Romania, and one in Spain) and a machine-learning application that has been successfully deployed using this system.
Wokół kluczowych pojęć przekładoznawstwa – tekst wczoraj i dziś
Authors: Rędzioch-Korkuz Anna
Published: January 2024

ON THE KEY CONCEPTS IN TRANSLATION STUDIES – TEXTS OF YESTERDAY AND TODAYThe concept of ‘text’ is one of the key terms of translation studies; however, it has been presented through the prism of simple definitions, with scholars of translation putting forward fairly obvious definitions, limited within linguistics. This is one of the reasons why today in the time of omnipresent multimodality the concept seems inadequate or certainly problematic. Meanwhile, a clear definition of the concept seems necessary for defining the object of study of translation studies and thus securing the autonomous status of the latter. The article is an attempt made to consolidate knowledge and ideas concerning the concept presented throughout the years. It also puts forward a definition of a text understood within the structuralist and semiotic perspectives founded on Yuri Lotman’s semiotics of culture and Charles Sanders Peirce’s universal categories.
Efficient Propagation Techniques for Handling Cyclic Symmetries in Binary Programs
Authors: van Doornmalen Jasper , Hojny Christopher
Published: January 2024

The presence of symmetries in binary programs typically degrades the performance of branch-and-bound solvers. In this article, we derive efficient variable fixing algorithms to discard symmetric solutions from the search space based on propagation techniques for cyclic groups. Our algorithms come with the guarantee to find all possible variable fixings that can be derived from symmetry arguments; that is, one cannot find more variable fixings than those found by our algorithms. Because every permutation symmetry group of a binary program has cyclic subgroups, the derived algorithms can be used to handle symmetries in any symmetric binary program. In experiments, we also provide numerical evidence that our algorithms handle symmetries more efficiently than other variable fixing algorithms for cyclic symmetries.

History: Accepted by Andrea Lodi, Area Editor for Design and Analysis of Algorithms—Discrete.

Supplemental Material: The online appendix is available at https://doi.org/10.1287/ijoc.2022.0060 .
Treatment of hereditary haemorrhagic telangiectasia with bevacizumab – what more needs to be known?
Authors: Morrissey Edmond , Schmidt-Martin Daniel , Buckley Martin
Published: January 2024

Introduction: Hereditary haemorrhagic telangiectasia (HHT) is a rare multi-organ vascular disease. It is characterised by mucocutaneous telangiectasia, epistaxis, and arteriovenous malformations. Some 70% of patients with HHT are thought to have issues with gastrointestinal (GI) bleeding. Traditional management of GI bleeding in HHT includes monitoring for iron deficiency anaemia, iron replacement, antifibrinolytic therapy and control of identifiable bleeding sites with argon photocoagulation during gastrointestinal endoscopy. Blood transfusion may also be required. Case description: Our case describes a man in his 40s with confirmed HHT, with transfusion-dependent anaemia secondary to GI bleeding. He was commenced on fortnightly bevacizumab (5 mg/kg) for 12 weeks in an attempt to reduce his blood transfusion requirement and manage his anaemia. In the months prior to starting bevacizumab, our patient’s transfusion requirement ranged from 3–5 units of packed red cells per month to maintain an Hb >8 g/dl. He had a marked improvement in his symptoms within the first month of treatment and did not require any further blood transfusion during the three months of treatment. He was given one further IV iron infusion in the final month of his 3-month bevacizumab treatment and did not experience any adverse side effects from bevacizumab. Discussion: HHT results from alterations to genes which encode proteins involved in blood vessel formation. This provides the rationale for using anti VEGF drugs such as bevacizumab. Current evidence for this treatment approach is limited. Conclusion: Bevacizumab can be an effective treatment option in patients with HHT refractory to traditional management.
AVALIAÇÃO DOS IMPACTOS AMBIENTAIS CAUSADOS PELA EXTRAÇÃO DE AREIA
Authors: Almeida Josimar Ribeiro de , Aguiar Laís Alencar de , Barbosa Oscar Rocha , Matta Patrícia dos Santos , Gurova Tetyana , Cunha Tatiana Santos da
Published: January 2024

Os problemas ambientais constituem atualmente uma das maiores preocupações do âmbito do meio cientifico global. Neste sentido, este trabalho teve como objetivo a analise dos impactos ambientais decorrentes da extração mineral e as alterações deste no meio físico e biótico. Os resultados por meio do método do “check-list” demonstraram que embora projetos desta natureza tragam efeitos radicais ao meio ambiente é possível, minimizar os efeitos negativos da mineração, em todas as etapas do empreendimento, com soluções baseadas nas analises de acompanhamento e correção, para obtenção de resultados satisfatórios e a recomposição do cenário impactante. A principal conclusão é a de que este estudo pode ser utilizado como referencial teórico para subsidiar o processo de licenciamento ambiental desse tipo de empreendimento.
The CAD/CAM Technology and Digital Smile Design for Fabricated Ceramic Veneers
Authors:   Lamplaimat Hospital, Thailand, Osotprasit Pimchanok , Lauvahutanon Sasipin ,   Department of Prosthodontics, Faculty of Dentistry, Chulalongkorn University, Thailand., Jiangkongkho Pornpot ,   Department of Restorative, Faculty of Dentistry, Naresuan University, Thailand.
Published: January 2024

Nowadays, the application of digital technologies and devices are widely used in dentistry. The explanation of the innovative and advanced digital technology for designing and fabricating the provisional restorations transfers to final restorations. Computer-aided design/computer-aided manufacturing (CAD/CAM) in digital dentistry has numerous advantages and greater efficiency and accuracy over the conventional techniques. The digital smile design (DSD) is used for esthetic dentistry especially in case of veneer and can be improved the effectiveness and efficiency of dentist to patient and dentist to technician communication. However, the applications of DSD and CAD/CAM require an understanding of the principal concept and digital technology to create the precise and esthetic outcome of the final restoration.
Estimation of Serum Parathyroid Hormone Related Protein in the Assessment of Pubertal Growth Spurt in Skeletal Class II Malocclusion Subjects.
Authors: Yezdani A. Arif , Kumar S. Kishore , Padmavathy Kesavaram
Published: January 2024

Introduction: Accurate measurement of skeletal maturity is critical to the optimal treatment timing of skeletal jaw discrepancies. Skeletal maturity can be assessed by several radiologic biologic indicators such as orthopantomograph, middle phalanx of third finger (MP3), hand-wrist radiograph and cervical vertebral maturation indicators (CVMI), but since they are highly subjective techniques to identify peak mandibular growth, a quest for a reliable non-radiologic biologic marker was deemed necessary. Parathyroid Hormone related Protein (PTHrP) was chosen to assess the skeletal maturity as its evidence was scarce in literature. Materials and Methods: The sample consisted of 80 skeletal Class II malocclusion subjects, males (n= 38), females (n=42), aged 11–18 years. The cervical stage of each subject was assessed with a lateral cephalogram. Two mL blood was obtained by venipuncture. Serum PTHrP was quantitatively assessed by ELISA-Sandwich principle using Elabscience, ELISA kit. Results: Mean PTHrP serum levels in males witnessed an increase in CS3 & in females in CS2 followed by CS5, exhibiting a pubertal trend in males and a pre-pubertal trend in females. Mean PTHrP serum levels in the four intervals of cervical staging showed an increase in CS2 through to CS4 in males and in CS2-CS3 in females, showing an increase of this biomarker in the pre and pubertal stages in both the sexes. Conclusions: PTHrP mean serum levels was found to be increased in early rather than in the later stages of puberty in both males and females leading to the speculation that PTHrP could serve as a potential biomarker to assess the pubertal growth spurt.
Ferramentas de educação permanentes em tempos de pandemia da covid-19
Authors: De Lima Jessyellen Pereira , Suênia Bezerra da Silva Rávila , Márcia Resende e Almeida Santos Cunha Sabrina , Driely Silva de Moura Laedja
Published: January 2024

Introdução: A educação permanente em saúde compõe diferentes formações, propondo fortalecer as equipes e gerando maior qualidade no trabalho. O foco no cotidiano faz com que o profissional de saúde esteja sempre em busca de melhorias nas práticas e na melhor resolução dos problemas. Com o advento da pandemia da covid-19, houve necessidade de mudanças na organização do atendimento no âmbito do sistema único de saúde, resultando necessidades do desenvolvimento de ações de educação permanente direcionando o cuidado ao paciente e promovendo prevenção a saúde do trabalhador. Objetivo: Identificar as estratégias utilizadas durante a pandemia da covid-19 para efetuação das ações de educação permanente em Saúde. Método: Foi realizada uma revisão sistemática da literatura através da consulta de dados nas plataformas online: Scielo, Lilacs e Medline. Resultados: Foram encontrados 58 artigos, dos quais foram excluídos os que não respondiam ao objetivo de estudo (30 artigos), contidos em mais de uma plataforma (6 artigos), e (2 artigos) não permitiam o acesso gratuito. Conclusão: A pandemia da Covid-19 trouxe desafios importantes e a capacidade de respostas às novas demandas. Assim, a educação permanente se tornou fundamental, de capacitação e instrumentalização sendo exemplos mais utilizados para isso as ferramentas tecnológicas e interativas.
REDES DE COOPERAÇÃO: Motivadores Competitivos na Formação, Facilitadores e Dificultadores dos Relacionamentos Interorganizacionais
Authors: Antunes do Nascimento Esdras , Sarmento Silva Rosângela , Montenegro Meyer Ludmilla , Antonio Gaspar Marcos
Published: January 2024

Com fundamento na abordagem de redes de cooperação, este artigo analisa de que modo pequenas e médias empresas produtoras e comercializadoras do biscoito, na região Sudoeste da Bahia, buscam novos aprendizados, competividade e oportunidades de negócios. O estudo avalia e caracteriza os fatores competitivos que tem motivado a formação da rede de cooperação e estimulado o estabelecimento de vínculos interorganizacionais, descrevendo os facilitadores e os dificultadores dos relacionamentos. Os resultados encontrados permitem concluir que os motivadores competitivos de mercado estão relacionados à busca por representatividade, credibilidade e complementaridade, visando a visibilidade e a prospecção de novos negócios. Além disso, a decisão por ingressar em relacionamentos interorganizacionais tem sido facilitada pelo associativismo, cultura local e participação de agentes de desenvolvimento locais, com proeminência para a participação do Sebrae (BA), encontrando, no entanto, dificultadores no estreitamento da confiança nas relações sociais e no comprometimento dos atores nas ações conjuntas.
Post-operative MRSA Infection of the Lumbar Spine in a Misdiagnosed Case of Spine Trauma – A Case Report and Review of Literature
Authors:   Division of Spine Surgery, Baby Memorial Hospital, Calicut, Kerala, India., Pillai Suresh S , K Arjun ,   Division of Spine Surgery, Baby Memorial Hospital, Calicut, Kerala, India., C Akhil Das ,   Division of Spine Surgery, Baby Memorial Hospital, Calicut, Kerala, India.
Published: January 2024

A 56-year-old male patient sustained a fracture of the body of L3 vertebral body following a trivial road traffic accident. He underwent laminectomy L3 and stabilization of L2 and L4 with pedicle screws, in a different hospital. 70 days after the index surgery, the patient presented with severe back pain throughout the day and night. Upon, evaluation he was found to have an abscess at the operation site due to an MRSA infection. On further evaluation, he was diagnosed with multiple myeloma. Six weeks after the abscess drainage and implant removal he underwent re-instrumentation, two levels above and below the fractured vertebrae (L3). He underwent chemotherapy for multiple myeloma. Eight months after the second surgery, the patient presented with surgical site infection, abscess, and implant loosening. The Abscess was drained and the implants were removed. Later on, the patient developed hyponatremia. Later he was taken to another hospital and died 5 days later. Keywords: Spine trauma, Multiple myeloma, MRSA infection, Implant loosening, Plasmacytosis.
Estimation of Rhizophora mucronata carbon stock in Youtefa bay, Jayapura, Papua
Authors: Indrayani Ervina , Kalor John D , Hisyam Muhammad , Waum Ida
Published: January 2024

Papua island has the largest mangrove forest area in Indonesia, reaching 1,350,600.00 Ha which accounts for half of the entire area of mangrove forests in Indonesia. One of the locations with a fairly extensive mangrove forest in the Jayapura area is in Youtefa Bay. Although mangroves have large environmental potential, local people use the forest as building materials, food, fishing tools, and medicines. Mangrove forests have an active role in maintaining global climate stability in the world, forest vegetation will fix CO2 through the process of photosynthesis. Mangrove forests per hectare can store up to four times more carbon than other tropical forests worldwide. This research aims to estimate the amount of carbon stock Rhizophora mucronata can store in mangrove forests in Youtefa Bay, particulary in Tobati, Enggros and Entrop Villages, Jayapura, Papua. The method used in this study was using Allometric Equations to estimate the biomass carbon from Rhizophora mucronata and compared to three different satellite imagery algorithms. The research results showed that the biomass of Rhizophora mucronata stands in Entrop Village was the highest and the lowest in Enggros Village. In addition, the results of measurements of carbon stocks in Tobati and Enggros Villages showed that the values were similar, only 0.23 kgC/m2 with carbon stocks in Entrop Village reaching 19.46 kgC/m2. Based on the results of measuring satellite imagery with three different algorithms, it was found that using the EVI algorithm produced the smallest Standard Error of Estimate, which was 1.63 kg C/m2. The estimated total carbon in Youtefa Bay is 213,424.69 kg C/m2.Keywords:AllometricCarbon StockRhizophora mucronataYoutefa Bay
Relationship between water mass characters to Sound velocity profiler (SVP) in the Sulawesi Sea
Authors: Agustinus Agustinus , Pranowo Widodo Setiyo , Manik Henry Munandar , Rahmatullah Amri , Aji Tri
Published: January 2024

The Sulawesi Sea is the western entry point of the Indonesian throughflow, which brings water masses from the Pacific Ocean. This study aims to describe the relationship between water mass characteristics and Sound Velocity Profiler (SVP) in the Sulawesi Sea based on Marine Copernicus data from 2022 with a depth of up to 500 meters. Temperature and Salinity data were used to obtain water mass types from the Tpot-S diagram based on Emmery's classification and Sound Velocity Profiler (SVP) based on the Medwin empirical equation. The temperature, salinity, and SVP data were visualized using ODV 5.6.2 software. The data processing results have identified several water mass characteristics that are believed to be influenced by the Eastern North Pacific Central Water (ENPCW) water mass type found at depths ranging from 130 to 318 meters, Western North Pacific Central Water (WNPCW) water mass found at depths ranging from 130 to 500 meters, Eastern South Pacific Central Water (ESPCW) water mass found at depths ranging from 92 to 453 meters, and Western South Pacific Central Water (WSPCW) water mass found at depths ranging from 130 to 500 meters. The ENPCW water mass type on average has a smaller difference in SVP values compared to the WNPCW water mass type. Meanwhile, the ESPCW water mass type on average has a greater difference in SVP values compared to the WSPCW water mass type. The results indicate a positive relationship between temperature and SVP, meaning that the higher the temperature, the higher the SVP. However, there is a negative relationship between salinity and SVP, meaning that the higher the salinity, the lower the SVP.Keywords:Water MassTemperatureSalinitySound VelocitySulawesi Sea
Diversity of plankton in the waters of sanghyang kenit Rajamandala cave, Indonesia
Authors: Akbar Rahmat Taufiq Mustahiq , Devi Sella Nur , Kurniawan Isma Dwi , Ulfa Risda Arba , Darniwa Adisty Virakawugi
Published: January 2024

Sanghyang Kenit Cave is a cave that has an aquatic environment and a potential habitat for plankton. Plankton can be a bioindicator of water because of its sensitivity to the environment. The purpose of this study was to determine the diversity, interrelationship factors, and linkages of plankton with the environment in the waters of Sanghyang Kenit Rajamandala Cave, West Bandung. This research was conducted from August 2021 to September 2022. The study employed a purposive sampling method, identifying three sampling zones (The Light, Twilight, and Dark zones) during morning, afternoon, and evening periods. Sampling was done by taking a sample of 10 liters and then filtering using plankton net. The Physico-chemical parameters measured included water temperature, light intensity, pH, DO, salinity, nitrate, and phosphate. Based on the results of data analysis found 4 classes with 12 plankton morphospecies. Diversity index values in the Light zone (1.10), Twilight zone (1.08), and dark zone (1.08). Abundance index value in the light zone is 2.537 cells/l, the twilight zone is 501 cells/l, and the dark zone is 29 cells/l. Diversity and plankton in the waters of Sanghyang Kenit Cave have a very strong correlation with water temperature, light intensity, and pH of water. This can be the basis for the development of further research on the management and monitoring of caves that are used as tourist attractions.KeywordsDiversityPlanktonSanghyang Kenit CaveEnvironment
Effects of two diets on growth and condition factor of Chitala lopis
Authors: Kaban Siswanta , Samuel Samuel , Makri Makri
Published: January 2024

The giant featherback Chitala lopis is fully protected fish species according to Indonesia's official list. The conservation of aquatic resources is achieved through implementing fish farming practices and optimizing feed utilization. This study aims to investigate the impact of different feeding rate on the growth patterns, performance, and condition factors of the first generation of giant featherback. The first generation of the fish were collected from the natural reproduction of broodstock in the earthen ponds. Fish were randomly divided at three different groups replicated three times and reared in the nine net cages installed in the earthen pond. The stocking density of the fish in each group was three fish per cage. The feed treatment involved fish bycatch as control (T0) (5% of the total weight) and freshwater shrimp, Caridina sp. with two different feeding rates including 5% (T1) and 7% (T2) of the total weight, respectively. The mean initial weight of the fish was 41 ± 3.85 g. The survival and absolute growth rate of T1 were highest (29.9±6.38 g, 78± 11%), but it is not significantly different (p0.05). The average relative growth rate of T1 is also highest (76.28±18.61%) and significantly different (p0.05). The growth pattern of the fish at the beginning of the study was negative allometric (0.54), which was low correlated (0.03), and at the end became positive allometric (4.17), which was moderately correlated (0.66). The highest condition factor was T2 (0.78±0.03) and had a significant effect (p0.05). Caridina sp. has a good impact on the first generation of giant featherback weight growth compared to other treatments in this study.Keywords:CultivationFeeding rateGiant featherbackCaridina sp.Rasbora sp.
FRONT MATTER
Authors: Matter Front
Published: January 2024

http://jurnal.usk.ac.id/depik/about/editorialTeam
BACK MATTER
Authors: Matter Back
Published: January 2024

https://jurnal.usk.ac.id/depik/about/submissions#authorGuidelines
Feminist democratic innovations in policy and politics
Authors: Caravantes Paloma , Lombardo Emanuela
Published: January 2024

This article examines the potential of feminist democratic innovations in policy and institutional politics. It examines how feminist democratic innovations can be conceptualised and articulated in local institutions. Combining theories on democratic governance, feminist democracy, social movements, municipalism, decentralisation, gender equality policies and state feminism, it conceptualises feminist democratic innovations in policy and politics as innovations oriented at (a) transforming knowledge, (b) transforming policymaking and public funding, (c) transforming institutions, and (d) transforming actors’ coalitions. Through analysis of municipal plans and interviews with key actors, the article examines feminist democratic innovations in the policy and politics of Barcelona’s local government from 2015 to 2023. Emerging from the mobilisation of progressive social movements after the 2008 economic crisis, the findings uncover a laboratory of feminist municipal politics, following the election of a new government and self-proclaimed feminist mayor. Critical actors and an enabling political context play a pivotal role in the adoption of this feminist institutional politics. The article concludes by arguing that feminist institutional politics at the local level contribute to democratising policy and politics in innovative ways, in particular encouraging inclusive intersectionality and participatory discourses and practices.
Why policy failure is a prerequisite for innovation in the public sector
Authors: Trein Philipp , Vagionaki Thenia
Published: January 2024

Researchers and practitioners agree that collaborative innovation is crucial for problem-solving in public policy. This article contributes to our understanding of innovation in public governance, by arguing that failure in public policy is often a prerequisite for successful policy learning and innovation. Using insights from the ‘Innovator’s Dilemma’ – a theory from business studies – to develop its argument, the article emphasises how voter myopia (Nair and Howlett, 2017) plus blame avoidance by decision-makers and ill-structured policy issues, create an ‘Innovator’s Dilemma’ that produces failure before successful innovation. The article compares this theory with other concepts of innovation in the public sector and theorises different pathways to successful policy innovation. It concludes that decision-makers need to take the Innovator’s Dilemma more seriously and integrate its lessons into existing innovation models designed for the public sector.
Policy responsiveness and its administrative organisation in China
Authors: Liu Yao , Araral Eduardo , Wu Jiannan
Published: January 2024

Scholarly literature on effective policy responsiveness and its administrative organisation in China remains scant. To address this gap, this article explores the administrative elements that impact policy responsiveness, with particular emphasis on the role of response agencies. The authors propose a theoretical framework that underscores two essential dimensions: political authority and interest homogeneity of response agencies. Using online petition data and fiscal expenditure records, the article demonstrates that local governments effectively address public demands, especially concerning environmental issues. Specifically, policy responsiveness significantly improves when government response agencies demonstrate a high level of political authority and share homogeneous interests with citizens. These conclusions emphasise the need to incorporate administrative perspectives when examining policy responsiveness.
Practical points of failure in police-university collaboration: reconceiving knowledge exchange
Authors: Boyd Katharine A. , Rappert Brian , Fleischer Dreolin N.
Published: January 2024

Collaborative projects designed to generate research evidence involve knowledge exchange (KE) which hinges on the expectations and practices within the collaborating organisations. Existing literature about academic-police collaborations, and why they break down, has largely focused on different knowledge agendas, research timeframes and organisational cultures. In contrast, we offer a case example that attends to the failures in KE stemming from the basic logistics, legal administrative procedures, and buy-in associated with collaborative projects. These failures in KE meant our planned study involving innovative research methods to assess (de-)escalation in use-of-force incidents using policy Body Worn Video was not feasible, and required adaptation to find another source of data to successfully complete a project. This case offers many lessons learned that can inform future collaborative projects, as well as expanding upon the simplified way KE is often conceived. First, formal agreement from both organisations and the co-production of a project do not imply it is feasible. Second, KE needs to account for the socio-technical networks that are required for successful collaboration and the range of skills this requires to achieve agreed aims. Third, collaborations should recognise the multidimensionality of organisations and expand networks to optimise flexibility and adapt to change so that projects are resilient.
Multicolor two-photon light-patterning microscope exploiting the spatio-temporal properties of a fiber bundle
Authors: Lorca-Cámara Antonio , Tourain Christophe , de Sars Vincent , Emiliani Valentina , Accanto Nicolò
Published: January 2024

The development of efficient genetically encoded indicators and actuators has opened up the possibility of reading and manipulating neuronal activity in living tissues with light. To achieve precise and reconfigurable targeting of large numbers of neurons with single-cell resolution within arbitrary volumes, different groups have recently developed all-optical strategies based on two-photon excitation and spatio-temporal shaping of ultrashort laser pulses. However, such techniques are often complex to set up and typically operate at a single wavelength only. To address these issues, we have developed a novel optical approach that uses a fiber bundle and a spatial light modulator to achieve simple and dual-color two-photon light patterning in three dimensions. By leveraging the core-to-core temporal delay and the wavelength-independent divergence characteristics of fiber bundles, we have demonstrated the capacity to generate high-resolution excitation spots in a 3D region with two distinct laser wavelengths simultaneously, offering a suitable and simple alternative for precise multicolor cell targeting.
High FOM PCF-SPR refractive index sensor based on MgF2-Au double-layer films
Authors: Liu Qiang , Wang Kaiyu , Li Xinrui , Liu Wei , Lv Tingting , Zhao Xueyan , Lv Jingwei , Chu Paul K. , Liu Chao
Published: January 2024

A simple twin-core D-shape photonic crystal fiber sensor based on surface plasmon
resonance (SPR) is designed for the measurement of refractive indices
(RI). The twin-core D-shape structure enhances the SPR effect, and the MgF2-Au dual-layer film narrows the
linewidth in the loss spectrum, consequently improving both the
sensitivity and figure of merit (FOM). The properties of the sensor
are analyzed by the finite element method. In the RI range of
1.32–1.42, the maximum wavelength sensitivity, FOM, and resolution are
62,000 nm/RIU, 1281RIU−1, and 1.61×10−6, respectively.
Analysis of continuous-variable quantum teleportation enhanced by measurement-based noiseless quantum amplification
Authors: Fiurášek Jaromír
Published: January 2024

Continuous-variable quantum teleportation enables deterministic teleportation of quantum states of optical modes. However, the state transfer is imperfect and limited by the amount of squeezing in the shared two-mode entangled state. Recently, it has been proposed and experimentally demonstrated that the performance of continuous-variable teleportation can be conditionally improved using a measurement-based noiseless quantum amplification [J. Zhao et al., Nat. Commun. 14, 4745 (2023)10.1038/s41467-023-40438-z]. An inverse Gaussian filter with sufficiently high cut-off is applied to outcomes of the continuous-variable Bell measurement, which can increase the fidelity of state teleportation and the cost of making the protocol probabilistic. Here we provide a detailed theoretical analysis of this protocol and discuss its effects and limitations. We focus on teleportation of classes of Gaussian states with fixed covariance matrix and variable displacement. The measurement-based noiseless amplification conditionally improves the precision of estimation of the coherent displacement of the teleported state from the outcomes of continuous-variable Bell measurement. Therefore, more information about the teleported state is revealed and unity-gain teleportation becomes possible with a lower added thermal noise as compared to deterministic teleportation.
Tissue characterization using axicon probe-assisted common-path optical coherence tomography
Authors: Gupta Pooja , Vairagi Kaushal , Sharma Vishal , Prasad Kaushal Kishore , Mondal Samir K
Published: January 2024

In this work, a common-path optical coherence tomography (OCT) system is demonstrated for characterizing the tissue in terms of some optical properties. A negative axicon structure chemically etched inside the fiber tip is employed as optical probe in the OCT. This probe generates a quality Bessel beam owning a large depth-of-field, ∼700 µm and small central spot size, ∼3 µm. The OCT system is probing the sample without using any microscopic lens. For experimental validation, the OCT imaging of chicken tissue has been obtained along with estimation of its refractive index and optical attenuation coefficient. Afterwards, the cancerous tissue is differentiated from the normal tissue based on the OCT imaging, refractive index, and optical attenuation coefficient. The respective tissue samples are collected from the human liver and pancreas. This probe could be a useful tool for endoscopic or minimal-invasive inspection of malignancy inside the tissue either at early-stage or during surgery.
Enhancing LiDAR performance using threshold photon-number-resolving detection
Authors: Wu Miao , Zhao Xiaochen , Chen Ruen , Zhang Labao , He Weiji , Chen Qian
Published: January 2024

Single-photon light detection and ranging (LiDAR) is widely used to reconstruct 3D scenes. Nevertheless, depth and reflectivity maps obtained by single-photon detection usually suffer from noise problems. Threshold LiDAR techniques using photon-number-resolving detectors were proposed to suppress noise by filtering low photon numbers, but these techniques renounce multiple levels of information and could not be compatible when it comes to high-noise low-signal regime. In this manuscript, we propose a detection scheme which combines the noise suppression of threshold detection with the signal amplification of photon-number-resolving detectors to further enhance LiDAR performance. The enhancement attained is compared to single-photon and threshold detection schemes under a wide range of signal and noise conditions, in terms of signal-to-noise-ratio (SNR), detection rate and false alarm rate, which are key metrics for LiDAR. Extensive simulations and real-world experiments show that the proposed scheme can reconstruct better depth and reflectivity maps. These results enable the development of high-efficient and low-noise LiDAR systems.
Asymptotic approach for stable computations of the spherically layered media theory with large orders and small arguments
Authors: Yuan Hao Yu , Zhu Wei , Zhu Bo O.
Published: January 2024

The computation of electromagnetic wave scatterings of a layered sphere is a canonical problem. Lorentz-Mie theory is suitable for plane wave incidence whereas spherically layered media theory can deal with arbitrary incident waves. Both theories suffer from the notorious numerical instabilities due to the involved Bessel functions with large order, small argument or high loss. Logarithmic derivative method has been proposed to solve the numerical issues with these theories. In this paper, by employing the equivalence between the asymptotic formulas of Bessel functions for small argument and for large order, the numerical issues with the spherically layered theory under both large order case and small argument case can be solved in a unified manner by canceling out the diverging terms in the asymptotic formulas. The derived stable formulas are simpler and faster than those based on logarithmic derivative method. It is shown that the derived formulas are good approximations to the canonical ones but are more numerically stable. The large lossy issue can be solved similarly.