bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical pharmacy in hospital palliative medicine: non-randomised clinical trial
Authors: Cavalcante-Santos Lincoln Marques , Guarnieri Ana Carolina , Conegundes Fernanda Silva de Lima , Giardini Mariana Honorato , Pereira Leonardo Régis Leira , Varallo Fabiana Rossi
Published: December 2023

Objective

To assess the impact of pharmaceutical care on hospital indicators and clinical outcomes of palliative care (PC) patients admitted to a secondary hospital.

Methods

A non-randomised clinical trial was carried out in the PC ward of a secondary hospital in São Paulo, Brazil. Pharmaceutical care for all patients aged 18 and above, admitted between October 2021 and March 2022, with stays exceeding 48 hours, was provided. The interventions required were performed in collaboration with healthcare teams, patients and caregivers. Assessments occurred at admission and discharge, using PC performance scales and pharmacotherapy tools, with Research Ethics Committee approval.

Results

Over 6 months, 120 hospitalisations were analysed, primarily involving women (58.9%), averaging 71.0 years, with neoplasm diagnoses (20.5%). A total of 170 drug-related problems were identified in 68.3% of patients. Following assessment, 361 interventions were performed, with a 78.1% acceptance rate, including medication dose adjustments, additions and discontinuations. Addressing unintentional pharmacotherapy discrepancies at admission led to reduced hospital stays (p<0.05). Pharmaceutical interventions also decreased pharmacotherapy complexity (p<0.001), inappropriate medications for the older people (p<0.001) and improved symptom management, such as pain (p<0.05).

Conclusions

Pharmaceutical care services integrated within the multiprofessional health team contributed to reducing drug-related problems associated with polypharmacy as well as improved the management PC symptoms in end-of-life patients, which reduced hospitalisation time.
Effect of acceleration on information delocalization
Authors: Ming Xi
Published: December 2023

We study the impact of acceleration on information delocalization under the Unruh (anti-Unruh) effect for two types of tripartite entangled states, namely the GHZ and W states. Our findings indicate that the anti-Unruh effect can result in stronger delocalization of quantum information, as measured by tripartite mutual information (TMI). Additionally, we show that the W state is more stable than the GHZ state under the influence of uniformly accelerated motion. Lastly, we extend our analysis to N-partite entangled states and product states.
Propagation of angular momentum in charged pion decay and related processes
Authors: Wang Bowen
Published: December 2023

There are confusions about angular momentum propagation in scattering or decay processes involving the transition between particle systems that appear to transform differently under Lorentz transformations. This paper provides an analysis of the transformation properties of the states and interactions for a few typical processes within the standard model of particle physics, and performs explicit calculations showing how angular momentum transfers in these processes. We shall show explicitly (a) how a state with zero angular momentum evolves via interactions mediated by a single vector boson of spin one, and (b) that angular momentum conservation is completely consistent with the calculation in quantum field theory. A discussion is also given about the phenomenological consequences of the theoretical results obtained in this study.
Fuzzy Perspective of Online Games by Using Cryptography and Cooperative Game Theory
Authors: Gök Sırma Zeynep Alparslan , Ergün Serap , Kırlar Barış Bülent , Özcan İsmail , Tayman Aslı
Published: December 2023

In this paper, we mathematically associate crypto-cloud computing with cooperative game theory in the presence of fuzzy uncertainty. For this purpose, we retrieve information from the database of Amazon Web Service. Then we construct a secure crypto-cloud game theoretical model and apply this model to online games under fuzzy uncertainty. Further, we suggest some fuzzy game theoretical solutions by proposing a novel twisted Edwards curve pairing-based scheme over finite fields having the property of indistinguishable under chosen ciphertext attacks. Finally, it is seen that costs of the numerical fuzzy solutions are reduced and their efficiency is increased compared with the numerical crisp ones.
GMDA: GCN-Based Multi-Modal Domain Adaptation for Real-Time Disaster Detection
Authors: Gou Yingdong , Wang Kexin , Wei Siwen , Shi Changxin
Published: December 2023

Nowadays, with the rapid expansion of social media as a means of quick communication, real-time disaster information is widely disseminated through these platforms. Determining which real-time and multi-modal disaster information can effectively support humanitarian aid has become a major challenge. In this paper, we propose a novel end-to-end model, named GCN-based Multi-modal Domain Adaptation (GMDA), which consists of three essential modules: the GCN-based feature extraction module, the attention-based fusion module and the MMD domain adaptation module. The GCN-based feature extraction module integrates text and image representations through GCNs, while the attention-based fusion module then merges these multi-modal representations using an attention mechanism. Finally, the MMD domain adaptation module is utilized to alleviate the dependence of GMDA on source domain events by computing the maximum mean discrepancy across domains. Our proposed model has been extensively evaluated and has shown superior performance compared to state-of-the-art multi-modal domain adaptation models in terms of F1 score and variance stability.
Hardware VM Isolation in the Cloud
Authors: Kaplan David
Published: December 2023

Enabling confidential computing with AMD SEV-SNP technology.
Confidential Computing: Elevating Cloud Security and Privacy
Authors: Russinovich Mark
Published: December 2023

Working toward a more secure and innovative future.
Why Should I Trust Your Code?
Authors: Delignat-Lavaud Antoine , Fournet Cédric , Vaswani Kapil , Clebsch Sylvan , Riechert Maik , Costa Manuel , Russinovich Mark
Published: December 2023

Confidential computing enables users to authenticate code running in TEEs, but users also need evidence this code is trustworthy.
Rebuttal How-To: Strategies, Tactics, and the Big Picture in Research
Authors: Yao Danfeng (Daphne)
Published: December 2023

Demystifying rebuttal writing.
Creating the First Confidential GPUs
Authors: Dhanuskodi Gobikrishna , Guha Sudeshna , Krishnan Vidhya , Manjunatha Aruna , Nertney Rob , O'Connor Michael , Rogers Phil
Published: December 2023

The team at NVIDIA brings confidentiality and integrity to user code and data for accelerated computing.
Beyond the Editorial Analogy: The Future of the First Amendment on the Internet
Authors: Langvardt Kyle , Rozenshtein Alan Z.
Published: December 2023

Can the government regulate how social media companies moderate their platforms?
Why Are Lawyers Afraid of AI?
Authors: Goth Gregory
Published: December 2023

Generative artificial intelligence and the law: there is no turning back.
An Ensemble Strategy with Gradient Conflict for Multi-Domain Neural Machine Translation
Authors: Man Zhibo , Zhang Yujie , Li Yu , Chen Yuanmeng , Chen Yufeng , Xu Jinan
Published: December 2023

Multi-domain neural machine translation aims to construct a unified neural machine translation model to translate sentences across various domains. Nevertheless, previous studies have one limitation is the incapacity to acquire both domain-general and domain-specific representations concurrently. To this end, we propose an ensemble strategy with gradient conflict for multi-domain neural machine translation that automatically learns model parameters by identifying both domain-shared and domain-specific features. Specifically, our approach consists of (1) a parameter-sharing framework, where the parameters of all the layers are originally shared and equivalent to each domain, and (2) ensemble strategy, in which we design an Extra Ensemble strategy via a piecewise condition function to learn direction and distance-based gradient conflict. In addition, we give a detailed theoretical analysis of the gradient conflict to further validate the effectiveness of our approach. Experimental results on two multi-domain datasets show the superior performance of our proposed model compared to previous work.
Software - motipy: the Metaheuristic Optimization in Python Library
Authors: Weise Thomas
Published: December 2023

We are thankful for the opportunity to announce our Python package "moptipy," which offers a rich set of tools for implementing, applying, and experimenting with metaheuristic optimization algorithms. Our package has been designed with benchmarking in mind and thus provides very comprehensive experimentation, data collection, and evaluation facilities out of the box. moptipy has the following features:

1. Very comprehensive documentation with many examples, reaching down to literature references inside the code and up to complex example experiments.

2. Several standard search spaces (bit strings, permutations, real vectors), operators, and algorithms, including randomized local search/hill climbers, simulated annealing, evolutionary algorithms, memetic algorithms, NSGA-II, several numerical optimization algorithms, etc., are already implemented and ready for use.

3. It is very easy to implement new algorithms using moptipy, be they general black-box methods or tailored for specific optimization problems.

4. It is also easy to integrate algorithms from external libraries and unify them under our API, which we did as proof-of-concept with CMA-ES, BOBYQA, as well as for the algorithms from SciPy.

5. Data can be collected at different verbosity levels, ranging from only providing the final result and its quality via the API (without creating any files) to creating log files with all (or all improving) steps of an algorithm, the result, the algorithm and problem parameters, the system setup, non-dominated solutions, and the random seed for fully-reproducible experiments. [1]

6. An experiment execution facility for very simple and robust parallel and distributed experimentation is provided. Parallelization and distribution works out-of-the-box based on shared folders and thus does not require additional libraries or programming effort [1].

7. Stopping criteria for optimization processes can be defined based on goal solution qualities, clock time, and/or consumed objective function evaluations.

8. All experiments are fully reproducible, i.e., from a log file an algorithm and problem can be configured such that, in the replication experiment, exactly the same search steps are performed as in the original setting [1].

9. The experiment evaluation facility can parse the log files and generate progress plots, result tables, ERT and ECDF plots, statistical test tables, and export data towards Excel or the popular IOHanalyzer.

10. Both single-objective and multi-objective optimization are supported under the same unified API.

11. The package has a good unit test coverage
and
pre-defined tools to unit test your own code. When implementing new objective functions, algorithms, encodings, oder operators, it is possible to use these tools to look for errors.
Acute fasting reduces tolerance to progressive central hypovolemia in humans
Authors: Gonzalez Joshua E. , Cooke William H.
Published: December 2023

An acute 24 h fasting reduces tolerance to central hypovolemia, and tolerance is negatively associated with blood ketone levels. Compared with a fed condition (3-h postprandial), fasted participants exhibited blunted peripheral vasoconstriction and greater reductions in stroke volume during stepwise lower body negative pressure. These findings suggest that a prolonged fast may lead to quicker decompensation during central hypovolemia.
The Molecular Blueprint for Chronic Obstructive Pulmonary Disease (COPD): A New Paradigm for Diagnosis and Therapeutics
Authors: Shakeel Ilma , Ashraf Anam , Afzal Mohammad , Sohal Sukhwinder Singh , Islam Asimul , Kazim Syed Naqui , Hassan Md. Imtaiyaz
Published: December 2023

The global prevalence of chronic obstructive pulmonary disease (COPD) has increased over the last decade and has emerged as the third leading cause of death worldwide. It is characterized by emphysema with prolonged airflow limitation. COPD patients are more susceptible to COVID-19 and increase the disease severity about four times. The most used drugs to treat it show numerous side effects, including immune suppression and infection. This review discusses a narrative opinion and critical review of COPD. We present different aspects of the disease, from cellular and inflammatory responses to cigarette smoking in COPD and signaling pathways. In addition, we highlighted various risk factors for developing COPD apart from smoking, like occupational exposure, pollutants, genetic factors, gender, etc. After the recent elucidation of the underlying inflammatory signaling pathways in COPD, new molecular targeted drug candidates for COPD are signal-transmitting substances. We further summarize recent developments in biomarker discovery for COPD and its implications for disease diagnosis. In addition, we discuss novel drug targets for COPD that could be explored for drug development and subsequent clinical management of cardiovascular disease and COVID-19, commonly associated with COPD. Our extensive analysis of COPD cause, etiology, diagnosis, and therapeutic will provide a better understanding of the disease and the development of effective therapeutic options. In-depth knowledge of the underlying mechanism will offer deeper insights into identifying novel molecular targets for developing potent therapeutics and biomarkers of disease diagnosis.
A Dual-Agent Approach for Coordinated Task Offloading and Resource Allocation in MEC
Authors: Dong Jiadong , Pan Kai , Zheng Chunxiang , Chen Lin , Wu Shunfeng , Zhang Xiaolin
Published: December 2023

Multiaccess edge computing (MEC) is a novel distributed computing paradigm. In this paper, we investigate the challenges of task offloading scheduling, communication bandwidth, and edge server computing resource allocation for multiple user equipments (UEs) in MEC. Our primary objective is to minimize system latency and local energy consumption. We explore the binary offloading and partial offloading methods and introduce the dual agent-TD3 (DA-TD3) algorithm based on the deep reinforcement learning (DRL) TD3 algorithm. The proposed algorithm coordinates task offloading scheduling and resource allocation for two intelligent agents. Specifically, agent 1 overcomes the action space explosion problem caused by the increasing number of UEs, by utilizing both binary and partial offloading. Agent 2 dynamically allocates communication bandwidth and computing resources to adapt to different task scenarios and network environments. Our simulation experiments demonstrate that the binary and partial offloading schemes of the DA-TD3 algorithm significantly reduce system latency and local energy consumption compared with deep deterministic policy gradient (DDPG) and other offloading schemes. Furthermore, the partial offloading optimization scheme performs the best.
The ncBAF Complex Regulates Transcription in AML Through H3K27ac Sensing by BRD9
Authors: Klein David C. , Lardo Santana M. , Hainer Sarah J.
Published: December 2023

The non-canonical BAF complex (ncBAF) subunit BRD9 is essential for acute myeloid leukemia (AML) cell viability but has an unclear role in leukemogenesis. Because BRD9 is required for ncBAF complex assembly through its DUF3512 domain, precise bromodomain inhibition is necessary to parse the role of BRD9 as a transcriptional regulator from that of a scaffolding protein. To understand the role of BRD9 bromodomain function in regulating AML, we selected a panel of five AML cell lines with distinct driver mutations, disease classifications, and genomic aberrations and subjected these cells to short-term BRD9 bromodomain inhibition. We examined the bromodomain-dependent growth of these cell lines, identifying a dependency in AML cell lines but not HEK293T cells. To define a mechanism through which BRD9 maintains AML cell survival, we examined nascent transcription, chromatin accessibility, and ncBAF complex binding genome-wide after bromodomain inhibition. We identified extensive regulation of transcription by BRD9 bromodomain activity, including repression of myeloid maturation factors and tumor suppressor genes, while standard AML chemotherapy targets were repressed by inhibition of the BRD9 bromodomain. BRD9 bromodomain activity maintained accessible chromatin at both gene promoters and gene-distal putative enhancer regions, in a manner that qualitatively correlated with enrichment of BRD9 binding. Furthermore, we identified reduced chromatin accessibility at GATA, ETS, and AP-1 motifs and increased chromatin accessibility at SNAIL-, HIC-, and TP53-recognized motifs after BRD9 inhibition. These data suggest a role for BRD9 in regulating AML cell differentiation through modulation of accessibility at hematopoietic transcription factor binding sites.

Significance:

The bromodomain-containing protein BRD9 is essential for AML cell viability, but it is unclear whether this requirement is due to the protein's role as an epigenetic reader. We inhibited this activity and identified altered gene-distal chromatin regulation and transcription consistent with a more mature myeloid cell state.
Reference Ranges for Left Modified Myocardial Performance Index: Systematic Review and Meta-Analysis
Authors: Bligard Katherine H. , Doering Michelle , Porat Shay , Rosenbloom Joshua I.
Published: December 2023

Introduction: The modified myocardial performance index (mod-MPI) is a noninvasive Doppler-derived metric used to evaluate fetal cardiac function. However, the reference ranges for mod-MPI in normal fetuses are not clearly defined, which limits the use of this technology in fetuses with potential cardiac compromise. Thus, we aimed to perform a systematic review and meta-analysis of published mod-MPI reference ranges across gestation. Methods: The published literature was systematically searched, and all published articles in any language that provided values for the left ventricular mod-MPI obtained in low-risk, singleton fetuses were considered eligible for further review. All retrieved titles and abstracts were independently reviewed by two researchers. Mean and standard deviation by gestational week was extracted or calculated from published data. DerSimonian-Laird random-effects models were used to estimate pooled means and 95% confidence intervals (CIs). Results: The search resulted in 618 unique citations, of which 583 did not meet inclusion criteria, leaving 35 abstracts selected for full-text review. Review of the references of these 35 articles identified another 5 studies of interest. Of the 40 articles reviewed, six met inclusion criteria. There was significant heterogeneity seen in the mod-MPI results reported. Mod-MPI increased as pregnancy progressed in all studies. The pooled mean mod-MPI at 11 weeks’ gestation was 0.400 (95% CI 0.374–0.426) and increased to 0.585 (95% CI 0.533–0.637) at 41 weeks’ gestation. The increase was linear in 5 of 6 studies, while in 1 study, the mod-MPI was stable until 27 weeks’ gestation, and then increased throughout the third trimester. Despite all having trends increasing over pregnancy, there was no study in which all the weekly means fell within the pooled 95% CI. Conclusion: While mod-MPI does increase over gestation, the true “reference ranges” for fetuses remain elusive. Future efforts to further optimize calculation of time intervals possibly via automation are desperately needed to allow for reproducibility of this potentially very useful tool to assess fetal cardiac function.
Mucinous Cystadenocarcinoma of the Breast with Bone Metastases: First Case Report and Literature Review
Authors: Gong Ying , Geng Xuhua , Liu Yaxin , Zhang Ruyan , Liu Yiqiang , Li Huiping
Published: December 2023

Introduction: Mucinous cystadenocarcinoma (MCA) of the breast is an extremely rare type of breast carcinoma. Since its biological characteristics, treatment options, and clinical outcomes are unclear, there is a lack of consensus regarding the optimal management of this disease. Thus, our single case report will aid our understanding of its natural history, prognostic factors, and treatment strategies. Case Presentation: We presented a 54-year-old woman with a case of advanced MCA of the breast accompanied by a huge breast mass, lymph node involvement, and distant bone metastases. We diagnosed primary breast MCA through clinical examination, imaging, and immunohistochemical assessments. Subsequently, the patient was treated with a regimen of nab-paclitaxel and bevacizumab, resulting in a significant clinical response. Progression-free survival was maintained during the 6-month follow-up period. Conclusion: We present the first report worldwide of a rare case of MCA of the breast with a large local mass and bone metastases. Our report adds to the limited literature on this rare breast cancer subtype and highlights the importance of accurate diagnosis and appropriate management of aggressive breast tumors.
Epidemiological Impact of Neurodegenerative Diseases in the Rural Spanish-Portuguese Cross-Border Region
Authors: Alonso-Sardón Montserrat , Paulino Manuel , Fernandes Adília , Martín-Delgado María Antonia , Pérez-Martín Raixa Noemí , Magalhães Carlos Pires , Pimentel Helena , Mata Augusta , Silvano Justina , Corte Agostinha , Paiva Teresa , Marques Ermelinda
Published: December 2023

Introduction: Epidemiological data indicate that neurodegenerative diseases show a high prevalence with a progressive increasing trend, especially in aging populations, as is the case in rural areas. The objective of this study was to assess the quantitative impact of neurodegenerative diseases in rural areas of the Spanish-Portuguese border region and to describe the epidemiological profile of the most prevalent disorders in one of the most depopulated and aged regions of Europe. Methods: A cross-sectional descriptive study was designed to estimate the prevalence of subjects diagnosed with the most common neurodegenerative disorders: dementia (Alzheimer’s disease and other dementias), Parkinson’s disease and Parkinsonism, and multiple sclerosis in the Spanish-Portuguese cross-border border region in 2020. It includes Bragança and Guarda Districts (Portugal) and Salamanca (Castilla y León, Spain). Results: Neurodegenerative diseases accounted for 1.85% in the Spanish-Portuguese cross-border region in 2020; a total of 5,819 records were reported: 987 (prevalence, 2.51%) in Salamanca (Spain); 2,332 (prevalence, 1.87%) in Bragança; and 2,500 (prevalence, 1.66%) in Guarda. Female population suffered from them in higher proportion (2.35 vs. 1.32%). Dementia represented 1.19% (3,744), Parkinson’s disease and Parkinsonism 0.58% (1,823), and multiple sclerosis 0.08% (252). These disorders impacted older age groups. In the rural border region of Spain, 1 out of 4 cases were institutionalized. Conclusion: The findings reveal the health impact of neurodegenerative diseases in the Spanish-Portuguese cross-border region. The epidemiological data emphasize the region’s circumstances and highlight research priorities. Intervention strategies must be implemented in the region to ensure quality healthcare in rural areas.
Efforts to preserve traditional music through social knowledge subjects
Authors: Jumriani Jumriani , Muhaimin Muhammad , Mutiani Mutiani , Warmansyah Abbas Ersis , Rusmaniah Rusmaniah
Published: December 2023

People's lives tend to the outside world, leading to the waning of cultural preservation values due to the ease with which foreign cultural influences enter and threaten the existence of local culture. To avoid the decline of the younger generation's interest in traditional art, it is necessary to carry out an idea of preservation through education, in this case, social studies subjects at school. This study aims to analyze the relationship between traditional art and social studies as a learning resource. The traditional art discussed in this study is panting music which is traditional arts in South Kalimantan. This is done to get a pattern for preserving traditional arts through social studies subjects. The research method used is qualitative. Data collection is done through observation, interviews, and documentation. Informant this research panting music players, and social studies teachers. The various data obtained are then reduced, presented, and then concluded. The researcher triangulated and extended the observations. The study's results confirmed panting music performance activities could be packaged as social studies learning resources. This is done by integrating class VII textbooks on the theme of cultural and ethnic diversity in the Indonesian traditional musical.
The effect of technology on Arabic language learning in higher education
Authors: Ritonga Mahyudin , Mudinillah Adam , Wasehudin Wasehudin , Julhadi Julhadi , Amrina Amrina , Shidqi Muhammad Husni
Published: December 2023

Technology is advancing and developing, and we cannot let go of our lives. One of them is in the world of education, the use of technology is often found. teachers combine technological devices in the learning process so that the learning atmosphere becomes more interesting, not only with increasingly open technological developments and the spread of information and knowledge throughout the world across the boundaries of space and time. Thus, technological developments have a positive impact on educators and students. In this study, researchers measured the extent to which the application of this technology in the learning process was highly valued. For this reason, this research aims to find out the impact of technology on Arabic language learning at the Batusangkar Institute State Islamic University. The method used in this research is a survey research method. Data collection uses observation, interviews and questionnaires. Furthermore, the expected result of this research is to find out the role or influence of technology on Arabic language learning activities in higher education. Based on the research results, it can be seen that there is an influence or influence of technology on Arabic language learning at the Batusangkar State Islamic Institute.
FLM-based AFL improves physics engagement and conceptual understanding
Authors: Asyhari Ardian , Irawan Windo Dicky , Sunyono Sunyono , Rosidin Undang , Sowiyah Sowiyah , Hariri Hasan
Published: December 2023

Assessment for learning (AFL) is a pedagogical approach that enhances student learning outcomes through high-quality feedback. This study investigates the effectiveness of integrating the feedback loop model (FLM) with AFL to improve students' engagement and understanding of physics, specifically in kinematics and motion dynamics. The study employs a mixed-methods research design, combining quantitative and qualitative data to assess the impact of the FLM-based AFL approach. A one-group pretest-posttest design was used, supported by research instruments that measured student engagement and their conceptual grasp of physics. The findings indicate that integrating FLM into AFL led to significant improvements, evidenced by Cohen’s effect size of 1.91, highlighting a substantial impact on student learning. These results affirm that FLM-based AFL positively affects student engagement and understanding of physics. The study contributes to the existing research on effective assessment methods, providing valuable insights for educators and policymakers in developing enhanced assessment and teaching strategies. This study emphasizes the potential benefits of incorporating FLM-based AFL in diverse educational settings to elevate student learning experiences and outcomes.
The relationship between test anxiety and pre-service teachers’ performance in quantitative research methods
Authors: Butakor Paul Kwame , Mingah Oscar
Published: December 2023

The mere mention of mathematics and its related courses such as quantitative research methods drive down shivers and create anxiety among most students. However, this phenomenon has not will been addressed among preservice teachers. The purpose of this study was to examine the relationship between preservice teachers test anxiety and performance in quantitative research methods in education. And to achieve this purpose, a random sample of 313 preservice teachers from a teacher education University in Ghana were administered the test anxiety inventory (TAI) and the data analysed using both descriptive and inferential statistics. The results revealed a significant inverse relationship between test anxiety and preservice teachers’ performance. Similarly, factors such as the examiner, the exam format, previous failures, examination time, presence of invigilator, and lack of adequate preparations were identified as determinants of test anxiety. In terms of coping strategies, it was revealed that respondents adopted cognitive, and educational strategies to mitigate the effect of test anxiety.
Optimal feeder routing and phase balancing for an unbalanced distribution system: a case study in Cambodia
Authors: Kay Sopheak , Vai Vannak , Eng Samphors
Published: December 2023

This paper aims to minimize the distance of the feeder path from high-voltage/medium-voltage (HV/MV) substation to medium-voltage/low-voltage (MV/LV) transformers and minimize power loss in an unbalanced distribution system by the phase-swapping concept-based load balancing. The shortest path algorithm (SPA) and the genetic algorithm (GA) for optimal feeder routing and phase balancing separately in the MV unbalanced distribution network are proposed. First, the relevant data for the system is collected. These data include substation coordinates (X, Y), active and reactive power (P, Q), phase connections, and lines’ impedance (Z). secondly, the performance of the existing configuration of the test system with numerous indications is presented. Finally, the proposed method is performed to minimize the length and power losses. The real 47-bus test system in Cambodia is chosen to demonstrate the proposed method. In this study, overall power losses, the maximum voltage imbalance, and voltage regulation are computed by the backward/forward sweep load flow. The results based on the simulation indicate the importance of the proposed approach, especially for distribution system designers and operators.
Improving voltage collapse point under transmission line outage by optimal placement and sizing of SVC using genetic algorithm
Authors: Zaidan Majeed Rashid , Hasan Ghanim Thiab , Bajaj Mohit , Toos Saber Izadpanah
Published: December 2023

In many power systems, voltage instability can increase the risk of voltage collapse and, as a result, turn the power system toward a blackout. Therefore, increasing the voltage collapse point is required. A transmission line outage is an emergency condition in power systems that can lead to voltage instability and voltage collapse. Thus, it is expected to employ shunt-connected flexible AC transmission systems (FACTS) such as the static var compensator (SVC) to increase the voltage collapse point when lines outage. This paper presents the genetic algorithm (GA) application to optimal placement and sizing of an SVC for increasing voltage collapse points following lines outage. The continuation power flow (CPF) technique has been used to determine the maximum loading point (MLP) corresponding to the point of voltage collapse. Also, to reduce the number of scenarios when line outages occur, a list in ascending order is established based on the line outage priority (LOP). The IEEE 14-bus test system is chosen to carry out simulations, and an SVC will be installed in the system based on the GA results. Simulation results confirm the effectiveness of an SVC for improving voltage stability as well as increasing voltage profile.
Grid connected solar panel with battery energy storage system
Authors: Kar Manoj Kumar , Kanungo Sanjeet , Dash Subhasis , Parida R. N. Ramakant
Published: December 2023

A grid-connected battery energy storage system (BESS) is a crucial component in modern electrical grids that enables efficient management of electricity supply and demand. BESS consists of a set of batteries connected to the power grid, allowing for the storage and release of electricity when needed. This paper addresses the challenges associated with intermittent renewable energy sources and enhancing grid stability and reliability. The primary objective of this work is to store surplus electricity during low demand and supply it to the grid during peak demand periods or when renewable energy generation is low. By storing surplus energy, BESS helps balance supply and demand fluctuations, reducing the need for expensive fossil fuel-based power plants and minimizing greenhouse gas emissions. Additionally, BESS provides frequency regulation, voltage support, and grid stabilization. Furthermore, BESS reduces the intermittency of renewable energy sources like solar and wind, allowing for its integration into the grid. It allows the captured energy to be stored and utilized when the renewable sources are not actively generating electricity. Grid-connected BESS are a vital component in the transition towards a more sustainable and resilient energy future. They facilitate the effective utilization of renewable energy, enhance grid flexibility, and contribute to the reduction of carbon emissions, ultimately promoting a cleaner and more reliable electricity supply. The simulation of grid connected solar system with BESS is carried out using MATLAB/Simulink environment.
Influence of croscarmellose in fast disintegrating tablet of Syzygium polyanthum extract
Authors: Putranti Widyasari , Rahmawati Desty Restia , Sugihartini Nining , Saifullah Teuku Nanda
Published: December 2023

Bay leaves (Syzygium polyanthum) contain the flavonoid quercetin which can be used as an antihyperlipidemic drug. The development of antihyperlipidemic drug formula in the form of fast disintegrating tablet (FDT) is needed for patients who experience dysphagia. FDT preparations require an optimal super disintegrant concentration to produce a good drug formula. This study aims to develop the FDT formula of bay leaves extract using the super disintegrant croscarmellose sodium (CCS) intra and extra-granular. FDT formulation using the wet granulation method with variations of CCS concentrations; F1: 2%, F2: 3.5%, and F3: 5% for extra granular, and 2% for intra granular. The formulation process, in-process control (IPC) granules, weight uniformity tests, and various physical properties tests of tablets were carried out. Data were statistically analyzed using one way ANOVA test (α=95%). The results of statistical tests of IPC granules, uniformity of weight, and tablet size of all FDT formulas were not significantly different (p>0.05). The CCS concentration for extra granular significantly affected the wetting time, disintegration time, hardness, and the value of friability percentage of FDT (p<0.05). The combination of intra and extra-granular CCS (2%:5%) gave the most optimum physical properties of bay leaf extract FDT.
Risk factors of COVID-19 disease confirmed cases in Solok District
Authors: Nuraisyah Fatma , Irjayanti Apriyana , Irmanto Maxsi , Fauziah Khairani
Published: December 2023

According to West Sumatra corona virus data, Solok Regency has the highest prevalence of positive confirmed cases of COVID-19 in West Sumatra, and one of the areas where the prevalence has increased significantly. Analysis of risk factors for COVID-19 cases in Solok Regency in 2021. We conducted a cross-sectional study analysis of secondary data from March to December 2020 with a mass randomized trial using the polymerase chain reaction (PCR) test in Solok Regency. Descriptive statistical analysis was used with secondary data relevant, and a logistic regression model was used to assess infection risk factors. A total of the 770 participants, 47.4% were women and 66% were aged 50-64 years. A total of 624 participants tested (81.03%) were identified as asymptomatic PCR SARS-CoV infection without symptoms, with 88% of participants with co-morbidities and 66% of participants without travel history. Based on the results obtained a significant relationship between history of comorbidities (p-value=0.00; AOR=0.16; 95% CI=0.08-0.32), clinical symptoms (p-value=0.00; AOR=0.04; 95% CI=0.03-0.08), and travel history (p-value=0.00, AOR=1.80, 95% CI=1.25-2.61). The majority of cases that were confirmed positive for COVID-19 based on the PCR test showed no symptoms, with co-morbidities and travel history. Confirmed positive cases of COVID-19 are associated with co-morbidities, symptoms and travel history.
Mental health condition among female workers during COVID-19 pandemic: insights from Dhaka city, Bangladesh
Authors: Shindaini Al Jamal Mustafa , Alam Towheedul , Siddiqua Fahima , Saha Shantanu Kumar
Published: December 2023

The coronavirus illness 2019 (COVID-19) created previously unheard-of vulnerabilities in people's physical and mental health situations worldwide. The study aims to evaluate the mental health conditions among a representative sample of female workers in Dhaka city, Bangladesh during the COVID-19 pandemic and its effect on their state of sleep and its patterns as well as their professional lives. A cross-sectional quantitative method along with structural questionnaires was designed. Data collection was conducted through an online survey, and responses were received from 112 respondents. The Depression Anxiety Stress Scales 21 (DASS-21) was used to assess the depression, anxiety, and stress levels of the respondents. The result shows that the respondents had depression, anxiety and, stress, respectively. Also, 52.50% of the respondents were dissatisfied with their sleeping patterns during the pandemic. After conducting a Chi-square test, the study also revealed that the respondents who had issues with depression, anxiety, and stress also had difficulties with the longer duration of staying at home (p<0.05), concentrating on their work (p<0.05), and working from home (p<0.05). The test also showed a significant relationship between the respondents' socio-demographic features and deteriorated mental health conditions. The study identifies that COVID-19 pandemic has clear impact on female worker’s mental health and their professional life.
Determinant of adherence with health protocols of COVID-19 among market traders
Authors: Amelia Novita Ridha , Permatasari Tria Astika Endah
Published: December 2023

Amid the COVID-19 pandemic, extensive restrictions were imposed on public facilities, including markets. Market traders and visitors were required to adhere with the health protocols government-established. This study's objective is to identify the factors influencing adherence with health protocols among traders. A cross-sectional survey was carried out in traditional and modern market located in Bogor Regency, Indonesia, from March to June 2022. The study encompassed all registered traders belonging to the traditional and modern market association. A total of 240 traders were chosen through a systematic random sampling method based on a hypothesis 2 test of population proportion. Primary data was gathered using a questionnaire and the research data were analyzed using binary logistic regression. In traditional markets, the majority of traders, about 65.0%, did not adhere with the health protocols, whereas in modern markets, approximately 71.7% of traders adhered to the protocols. The determinants of adherence to health protocols were knowledge (p=0.007; OR=3.311; 95% CI=1.395-7.857) in traditional markets and perceived susceptibility (p=0.001; OR=10.377; 95% CI=2.494-43.180) in modern markets. Knowledge and perceived susceptibility are determinant of market traders' adherence with health protocols. Enhanced adherence to health protocols can be achieved by boosting traders' understanding and awareness of COVID-19.
Waste processing without causing public health problems with black soldier fly bioconversion
Authors: Zahra Afifah , Herdiansyah Herdis , Utomo Suyud Warno , Nuraeni Nuraeni
Published: December 2023

Bioconversion of black soldier fly (BSF) larvae is a method of processing organic waste that is environmentally friendly and has no impact on public health. This research aims to analyze the influence of the type of waste as a feed formulation on the effectiveness of organic waste processing with bioconversion of black soldier fly larvae. The research was conducted in Tubunan Village, Jepara Regency, the district with the second lowest waste processing in Central Java on 108 families. The initial procedure for this experimental research was carried out by sorting the types of waste (community waste, fish slaughter waste, and a mixture of both). Each type of waste is then given 1.5 grams of larvae/kg of waste. The larvae will be harvested after 20 days and weighed to record data on the increase in biomass and waste left behind. The collected data was then analyzed using SPSS through ANOVA and Kruskal Wallis tests. The results showed that the nutritional formulation of the feed had a significant effect on total larval biomass (p=0.0005) but had no significant effect on the waste reduction index (p=0.651) and feed conversion efficiency (p=0.180). In this study, processing organic waste with bioconversion of black soldier fly larvae reduced waste piles significantly (p=0.008). Thus, bioconversion waste processing using BSF can solve the waste problem at the research location. These findings can be considered in planning effective and efficient waste processing.
Evaluation of one-house one-larvae observer program in controlling dengue hemorrhagic fever in Central Sulawesi
Authors: Koraag Meiske Elisabeth , Samarang Samarang , Nurjana Made Agus , Octaviani Octaviani , Widjaja Junus , Massie Roy Glen Albert
Published: December 2023

Dengue hemorrhagic fever (DHF) is still a health problem in Poso District. This can be seen from the high number of DHF cases and potential outbreaks from 2017 to 2018. The local government took the initiative to prevent DHF outbreaks in Poso Regency. The Central Sulawesi Provincial Health Office and the Poso Regency Health Office have implemented onehouse one-larvae observer program in the Poso Kota Selatan District area by engaging the local government and community. The implementation of the program and its accomplishments requires evaluation. This study aims to evaluate the one-house one-larvae observer program using input, process, output, and outcome indicators. The research adopts a descriptive-qualitative approach, employing observation and interviews within an evaluation research design. Data analysis was performed using interpretation and triangulation methods. Policy documents are available, and human resources supporting the program are in compliance with the decree. However, the budget for the program is insufficient, while the available infrastructure is sufficient. The process indicators demonstrate satisfactory progress. Based on outputs, there was an increase in achievement against the program target of the number of buildings inspected by house larvae observers over four years. The outcome indicator in the form of the larvae-free rate increased by >90% during one year of program implementation. The implementation of local innovations initiated by the Regency Health Office and stakeholders’ engagement has been proven to increase community participation in programs that impact the achievement of program outputs and outcomes.
Analyzing public perception toward COVID-19 vaccines in Indonesia
Authors: Rizqiyah Putri , Yulianti Evi , Jiwanggi Meganingrum Arista
Published: December 2023

The research is prompted by the dearth of studies addressing public perceptions of various COVID-19 vaccines in Indonesia using extensive datasets spanning and a wide timeframe. This study examined public perception toward COVID-19 vaccines in Indonesia using a dataset of tweets. We further detect whether there are any changes in sentiment toward each type of vaccine. The five most commonly used vaccines in Indonesia (AstraZeneca, Moderna, Pfizer, Sinopharm, and Sinovac) were analyzed for sentiment using a lexicon-based method: Valence Aware Dictionary and Sentiment Reasoner (VADER), with changes in sentiment detected using Pruned Exact Linear Time (PELT). The 280,826 tweets collected between 2021 and 2022, 39% were positive, 18% were negative, and 43% were neutral. While Indonesian citizens generally responded positively and neutrally to each vaccine, with Sinopharm and Pfizer receiving the highest sentiment scores and AstraZeneca receiving the lowest, some change points in sentiment were associated with real-world events. Jakarta had the highest number of tweets (22%), while Maluku had the highest sentiment score (0.498). A significant positive correlation was also found between the total number of tweets and two variables: new cases of COVID-19 (r=0.9, p=0.001) and total new deaths caused by COVID-19 (r=0.8, p=0.008). Overall, the discussion of COVID-19 vaccines is still ongoing, and Indonesian citizens tend to respond neutrally and positively regardless of location or time.
Epidemiology of typhoid fever in the Philippines during the last six decades from 1960-2019: a profile and its trend
Authors: G. Sambawa Nihaya , D. Mangotara Rosnia , Balt Arafat M. , J. Demayo Chin-Chin , G. Demayo Cesar
Published: December 2023

Regardless of the numerous reviews and publications on typhoid fever in the Philippines, it continues to be an issue regarding public health. Using data obtained from the Philippine Health Statistics (PHS), this study examined trends in typhoid fever mortality across an interval of six decades in the Philippines. The mortality and morbidity rates of typhoid fever were analyzed to discover trends of change for each year, age group, sex, and area. The Microsoft Excel software tool became used for all data analysis. The results show a decrease in typhoid fever fatality rates in the Philippines over the previous year. In terms of sex-specific deaths, males outnumbered females. The individuals aged 70 and older have the highest death rates when it comes to age-specific mortality rates. In the Philippines, Region I also has the highest mortality rate from typhoid fever. For instance, the Autonomous Region of Muslim Mindanao (ARMM) has the lowest mortality rate from typhoid fever. The highest average morbidity rate is in the Cordillera administrative region (CAR), while the lowest is in Region IVB. To eliminate typhoid fever in the next few years and to completely combat typhoid fever throughout the years, educational campaign awareness or intimate knowledge must be conducted locally and globally.