bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Diagnosis Rate and Factors Influencing the Implementation of Confirmatory Tests in Women with Epithelial Abnormalities of Squamous Cells in Pap Tests: 5 years follow-up using the National Health Insurance Service database.
Authors: Kim Hyeongsu , Hwang Jong Ha
Published: January 2024

Objective: this study aims to investigate the diagnosis rates of cervical cancer and carcinoma in situ between women who did not undergo confirmatory tests within 6 months and those who did, considering influencing factors.
Methods: We identified all Korean women who participate in nationwide cervical cancer screening program from January 2011 and December 2017 using the National Health Insurance Service (NHIS) database.
Results: Among the 21,452,058 eligible patients from 28,619,210 Pap smear tests (2011-2017), 450,349 (1.57%) had squamous cell abnormalities in Pap smear results. Among women notified of squamous cell abnormalities, 124,135 (27.6%) underwent a confirmatory test within 6 months. Among these, there were 4,529 women (3.65%) diagnosed with cervical cancer (C53) and 11,465 women (9.24%) diagnosed with carcinoma in situ (D06). Women who did not undergo confirmatory tests within 6 months were 326,214 (72.4%). Among them, within 5 years, 5,198 women (1.59%) were diagnosed with cervical cancer (C53), and 9,517 women (9.24%) were diagnosed with carcinoma in situ (D06). For cervical cancer (RR 4.11, 95% CI: 3.72-4.54), the diagnosis rate was significantly higher in women over 70. Both cervical cancer (RR 0.73, 95% CI: 0.66-0.79) and carcinoma in situ (RR 0.85, 95% CI: 0.81-0.90) showed significantly lower diagnosis rates in highest economic status.
Conclusions: Encouraging confirmatory tests for abnormal Pap smears is crucial, particularly among the elderly and those with lower economic status.
Application of Cold Atmospheric Plasma (Cap) in the Treatment of Chronic Skin Lesions Associated With Post-surgical Neuropathic Pain in a Domestic Cat
Authors: de Moura Carlos Eduardo Bezerra , Francelino Luiz Emanuel Campos , Silva Guilherme Ramon Vieira da , de Paula Valéria Veras , Nunes Talyta Lins , Façanha Débora Andréa Evangelista , Júnior Clodomiro Alves
Published: January 2024

Cold atmospheric plasma (CAP) has been employed as a therapy against both acute and chronic skin lesions, contaminated or not, and indirectly exerts an influence on adjacent tissues, promoting healing and other benefits, such as nervous tissue repair and differentiation. In this context, this pilot study aimed to evaluate the effects of a CAP jet on the healing of chronic skin lesions caused by a pruritic reaction resulting from post-surgical neuropathic pain. To this end, a single CAP application was performed on a feline patient with recurrent cervical skin lesions associated with specific drug therapy aiming at resolving neuropathic pain. The single plasma application led to significant macroscopic lesion appearance improvement within 10 days, and the owner reported the cessation of intense itching within the first four hours after treatment and a consequent improvement in the animal's quality of life. Therefore, CAP application leads to significant healing of chronically infected skin lesions resulting from post-surgical neuropathic pain.
Watch and Upgrade or Deconstruct and Relocate: Derna Catastrophe Lessons Amid the Climate-change Era of Unpredictable Flash Floods
Authors: Ashoor Abdelwanees , Eladawy Ahmed
Published: January 2024

Water structures' resilience to accelerated global warming impacts is attracting increased attention. Adaptation to unprecedented flash floods in semi-arid regions (e.g., Middle East and North Africa (MENA)) is becoming more challenging under the huge uncertainty of their frequency and intensity, lack of accurate hydrological studies, and water-resilient cities' absence in these wadi systems. Ten to twenty percent of Derna's population (∼90,000 people) were reported dead and missing along with more than 35,000 residents having been displaced (also, 737 completely collapsed, and 2859 partially collapsed houses) following two destruction waves after two-dams failures during unprecedented storm Daniel on the 11th of September 2023. In this study, we deeply investigated the causes and consequences of this significant main dam (i.e., Bu Mansour) breach. We started by discussing the history of dams in the region and the Derna flash flood protection system design background. Then, we rebuilt the most probable scenarios and simulated the dam break analysis validated by ground truthing methods. No matter how well-maintained the main dam was, the unprecedented Daniel storm flood highly exceeded its design capacity. Aside from the widely reported poor maintenance, our investigation of the overflow shafts of the two dams raised a potentially fatal design issue with the main dam. We concluded the most probable dynamics of the two dams' failure through two waves of destruction confirmed by diverse field observations. Ironically, the study concluded that a similar flood induced by the storm could leave much less damage in the case of the absence of any dams (i.e., far less maximum depth and velocity occurrence and fewer flooded areas). Hence, there is an urgent need to reassess similar dams’ design criteria, upgrade, or simply deconstruct similar existing aging dams -including those with small annual storage-to-design capacity ratios- along with relocating residents and infrastructure away from the low-lying areas, all aimed at safeguarding human lives in similar ungauged wadi systems.
Adsorption and removal of perfluorinated compounds from aqueous solution using magnetic fluorinated porous carbons
Authors: Zhan Han-Ying , Lin You-Ming , Qin Rui-Yang , Zhang Zhi-Qi
Published: January 2024

Perfluorinated compounds (PFCs) cause environmental pollution and serious health issues. Therefore, magnetic fluorinated porous carbons (M-FPCs) derived from the carbonization and further fluorination of Fe-Zr MOFs were used as novel adsorbents to investigate the possibility of PFC removal from wastewater. Investigation of the adsorption behavior of PFCs on M-FPCs revealed that the isotherms conformed to the Langmuir model and kinetics fit the pseudo-second-order model. Simulations using the Weber–Morris and Boyd diffusion models indicated that the adsorption of PFCs on M-FPCs involved external mass transfer first, followed by intraparticle diffusion, where film diffusion was the primary controlling process. M-FPCs with maximum adsorption ranging from 518.1–919.3 mg g− 1 for studied PFCs were adopted to remove PFCs from simulated wastewaters of textile mill and leather factory. Up to 98.1–100.0% of PFCs were removed within 15 min, and the residual levels of PFCs reached drinking water standards after treatment, which suggests the promising application of M-FPCs in the removal of PFCs from wastewater.
A Riemannian Genuine Measure of Entanglement for Pure States
Authors: Ramachandran Dharmaraj , Vathsan Radhika
Published: January 2024

While several measures exist for entanglement of multipartite pure states, a true entanglement measure for mixed states still eludes us. A deeper study of the geometry of quantum states may be the way to address this issue, in which context we present a measure for multipartite pure state entanglement (GBR) based on a geodesic distance in the space of quantum states. Our measure satisfies all the desirable properties of a “Genuine Measure of Entanglement” (GME), that exhibits some advantages over other GMEs.
Internet of Things Deployment based on Fog Computing Systems: Security Approach
Authors: ChinaTelecomSichuanBranch LiangyuZhang
Published: January 2024

A smart grid with numerous capabilities has been developed using the Internet of Things (IoT). Due to the high volume of computing of the IoT, there is fog computing, which puts the burden of processing on the cloud computing to lighten the network load, which leading to improved efficiency, energy efficiency, and quality of services optimization. This research provides an intelligent method of IoT-based deploying for intrusion detection by using KDD CUP data to improve accessibility while maintaining security to reduce penetrations. The Social Spider Algorithm (SSA) as a swarm intelligence algorithm has been considered as a solution to improve this problem. The results represented that improvements in intrusion detection and availability have been made by maintaining security over previous methods.
Design of a three level hierarchical hybrid wired-wireless Network-on-Chip architecture
Authors: Varanasi Lakshmi Kiranmai , B.K.N Srinivasarao
Published: January 2024

Three-level hierarchical hybrid wired-wireless Network-on-Chip (NoC) architectures are proposed in this article. Various hybrid wired-wireless configurations have been proposed and examined under various traffic patterns at low, medium, and high traffic loads. In the proposed three-level hierarchy, the bottom and top levels are concerned with subnet topology and wireless hub topology, respectively. The present research introduces a middle level that investigates the number of nodes that will be connected to a subnet's wireless hub. Mesh and fully connected wireless topologies have been chosen for the bottom and top levels of the hierarchy, respectively. Different hybrid wired-wireless configurations have been developed and studied by varying the number of subnets and the number of nodes to be attached to the subnet at the middle level. The objective of investigating the middle level is to reduce the number of subnets and, consequently, the number of wireless nodes in large network architectures without compromising performance.
A Real-Time ANN for Estimation Digital Twin parameters in Health Indication of Flyback Converter
Authors: Koushkaki Ehsan Rahmanian , Rajaei Amirhosein
Published: January 2024

This paper proposes a real-time artificial neural network (ANN) for estimation digital twin parameters in health indication of flyback converter. Indeed, the ANN is approximated digital twin parameters by using voltage input of the flyback converter and comparison of capacitor voltage and inductance current of simulated model and digital twin. Moreover, the ANN structure is picked out multi-layer perceptron (MLP) with back-propagation training algorithm. Furthermore, the ANN is used in a new real-time technique that is trained during of running of the model. However, the digital twin is calculated output voltage and inductance current by 4th order runge-kutta method. The formula of model is determined with state-space averaged (SSA) model technique. Finally, as the output voltage of simulated model and digital twin are the same, the component parameters are compared with initial values and health of converter is detected. The model is tested in some variety scenarios, such as degradation of capacitor, MOSFET, diode and transformer magnetization inductance, and the outcome of them are presented. Also, the method is tested in changing input voltage of converter and duty cycle. The studied model is simulated in MATLAB/Simulink and the digital twin and the ANN block are done in S-function.
Background-aware Siamese Network Tracking based on Salient Feature Fusion
Authors: Zhou Lifang , Dai Jing , Lei Bangjun , Xue Ruixin
Published: January 2024

In the realm of object tracking, complex backgrounds pose significant challenges, often leading to the underperformance of existing trackers that predominantly rely on deep features from the final layer of feature extraction networks. These features, while semantically rich, are not always sufficient to distinguish targets from cluttered environments. To address this limitation, we introduce the Background-aware Siamese Network (BASNet), an innovative approach that enhances the salience of features in intricate scenes. Central to our method is the Dual-Feature Fusion (DFF) model, meticulously crafted to stabilize target representation amidst distracting backgrounds. BASNet leverages the complementary strengths of deep and shallow features, harnessing the former’s semantic depth and the latter’s precision in spatial localization. This fusion not only elevates feature utilization but also mitigates the shortcomings associated with the superficial output of shallow networks. Further refining the target’s spatial definition, our attention-focusing module (AF) plays a pivotal role. It accentuates pertinent features 1 and attenuates noise emanating from the multi-layer feature amalgamation. The module’s ingenuity lies in its cyclic attention operations, which enable each pixel to establish extensive dependencies with all others , thereby spotlighting salient features. For precise target localization, BASNet employs the SIoU loss within its regression branch, a strategic choice that contributes to the model’s accuracy. Extensive experiments demonstrate the competitive performance of our method on six datasets: OTB50, OTB100, UAV123, VOT2016, VOT2018, and VOT2019.
Multi-granularity and Multi-modal Feature Fusion for Indoor Positioning
Authors: Pei Shenglei , Wang Yi , Zhao Hong , Wang Yu
Published: January 2024

Despite the widespread use of indoor positioning technology, current WiFi positioning methods face challenges in accuracy and efficiency due to the complexities of indoor environments and the intricate architecture resulting from pre-deployed Access Points (APs). Moreover, while visual image positioning methods are effective, their costliness stemming from the requirement of using binocular cameras to obtain depth image data hinders their widespread adoption. To tackle these challenges, we propose an indoor positioning method that leverages multi-granularity and multi-modal feature fusion. In the initial, coarse-grained positioning phase, a neural network model is trained using image data to roughly localize indoor scenes. This model adeptly captures the geometric relationships within images, providing a foundation for more precise localization in subsequent stages. In the fine-grained positioning stage, Channel State Information (CSI) features from WiFi signals and Scale-Invariant Feature Transform (SIFT) features from image data are fused, creating a rich feature fusion fingerprint library that enables high-precision positioning. Experimental results show that our proposed method synergistically combines the strengths of WiFi fingerprint and visual positioning, resulting in a substantial enhancement of positioning accuracy. Specifically, our approach achieves an accuracy of 0.4 meters for 45\% of positioning points and 0.8 meters for 67\% of points. Overall, this approach charts a promising path forward for advancing indoor positioning technology.
Persisting influence of continental inheritance on early oceanic spreading
Authors: MOULIN ADRIEN , Jonsson Sigurjon
Published: January 2024

Formation of new lithosphere at mid-oceanic ridges occurs through magmatic crustal accretion and cooling of the asthenosphere, and is essentially controlled by the spreading-rate, ridge segmentation, and eventual arrival of deeply-sourced hot mantle plumes. Its dependence on long-term inheritance is supposedly weak, except in cases where ridge segmentation is preconditioned by the reactivation of continental weak zones during the rifting phase. Here, we provide the first evidence that pre-rift lithospheric thickness variations constitute another forcing that may transmit influence from past Wilson cycles beyond the stage of continental break-up. This long-term control involves differential redistribution of heat/melt sources along young laterally-confined plume-assisted rifts. This is demonstrated here in the case of the Red Sea from the correlation between on-axis volcano-tectonic patterns, distribution of onshore volcanism, and lithospheric thickness variations of the rifted margins.
Comprehensive Framework for Implementing Blockchain-enabled Federated Learning and Full Homomorphic Encryption for Chatbot security System
Authors: Jalali Nasir Ahmad , Chen HongSong
Published: January 2024

Chatbot is an artificial intelligence application that can provide a conversational environment between human and machine. Most organizations and industries are willing to lay out their services through chatbot because it can provide 24/7 customer support. Meanwhile it raises security and privacy challenges like access control, data leakage during transmission, SQL injection attack, language model attack which make the users concerned about their data, performance and accuracy. Therefore this research paper proposed a comprehensive framework integrated blockchain, federated learning and fully homomorphic encryption algorithm with face recognition to solve above mentioned chatbot’s challenges. The experimental result shows that distributed system improves chatbot accuracy (90%) and more transaction in less time with more clients do not affect the performance. In contrast, more iteration and clients will decrease the accuracy, performance and transactions in centralized system. In addition, fully homomorphic encryption improve and speed up data encryption process. It encrypted more data (1792 MB) in a small amount of 1240 time/sec and conversation/transactions can be transferred via a secure network to ensure the confidentiality, integrity and authenticity of users’ data. The implementation of such comprehensive framework in real-life can improve chatbot security that is actively work as a customer agent in organization.
Malnutrition and Muscle Loss Mediate the Association between NT-proBNP and Mortality in Hospitalized Older Adults
Authors: Tao Jun , Zhang Xiaoyan , Wang Niansong , Cheng Dongsheng
Published: January 2024

Background & Aims
The purpose of this study was to assess the association between N-terminal prohormone of type B natriuretic peptide (NT-proBNP) and long-term mortality in hospitalized oldest-old adults and to explore the mediating role of malnutrition and muscle loss.
Methods
This prospective cohort study was conducted among 360 hospitalized patients ≥ 80 years of age (median age 87 [IQR 84–90] years, 24.4% women) in the Department of Geriatrics. The Geriatric Nutritional Risk Index (GNRI) and Mini Nutritional Assessment Short Form (MNA-SF) were used for nutritional assessment, while calf circumference was used as a measure of muscle mass. A Cox proportional hazard model was used to assess the relationship between NT-proBNP levels and mortality. Mediation analysis was used to explore the mediating effects of malnutrition and muscle loss.
Results
The median follow-up was 4.1 years with 159 (44.1%) deaths. Mortality risk increased by 32% per 2-fold increase in NT-proBNP levels (full adjusted hazard ratio: 1.32 [95% CI, 1.20–1.46]). A mediation analysis showed that a lower GNRI score and decreased calf circumference mediated the effects of high NT-proBNP and mortality risk, with an estimated relative effect size of 28.9%, while MNA-SF and calf circumference mediated the effect, with an estimated relative effect size of 25.3%.
Conclusions
NT-proBNP levels were associated with long-term mortality in hospitalized older patients. Moreover, the detrimental effects of NT-proBNP on survival were partly mediated by malnutrition and muscle loss.
Image Encoded Time Series Classification of Small Datasets: An Innovative Architecture Using Deep Learning Ensembles
Authors: Indrasiri Pubudu L. , Kashyap Bipasha , Pathirana Pubudu N.
Published: January 2024

Convolutional neural networks (CNNs) are often favored for their strong learning abilities in tackling automatic intelligent models. The classification of time series data streams spans across many applications of intelligent systems. However, the scarcity of effective Machine Learning architectures to handle limited time-series data adversely affects the realization of some crucial applications. In particular, healthcare-related applications are inherently concerned with limited time series datasets. Indeed, building effective artificial intelligence (AI) models for rare diseases using conventional techniques can pose a significant challenge. Utilizing recent advances in deep learning and signal processing techniques, this study introduces a new ensemble deep learning (DL) approach for time series categorization in the presence of limited datasets. Physiological data, such as ECG and voice, are used to demonstrate the functionality of the proposed DL architecture with data obtained from IoT and non-IoT devices. The proposed framework comprises a self-designed deep CNN-LSTM along with ResNet50 and MobileNet transfer learning approaches. The CNN-LSTM architecture includes an enhanced squeeze and excitation block that improves overall performance.This architecture processes time series data transformed into a 3-Channel image structure via improved recurrence plot (RP), Gramian angular field (GAF), and fuzzy recurrence plot (FRP) methods. The proposed model demonstrated superior classification accuracy on the ECG5000 and TESS datasets compared to other state-of-the-art techniques, validating its efficacy for binary and multiclass classification.
Evaluation of Cross-Linked Actin Networks (CLANs) in Human Trabecular Meshwork Cells and Tissues
Authors: Patel Pinkal , Clark Abbot F.
Published: January 2024

Elevated intraocular pressure (IOP) is a major risk factor for the development and progression of glaucoma, the leading cause of irreversible vision loss and blindness. An overall increase in resistance to aqueous humor outflow causes sustained elevation in IOP. Glaucomatous insults in the aqueous humor outflow pathway, including the trabecular meshwork (TM) precede such chronic physiological changes in IOP. These insults include ultrastructural changes with excessive extracellular matrix deposition and actin cytoskeletal reorganization that leads to pathological stiffening of the ocular tissues. One of the most common cytoskeletal changes associated with TM tissue stiffness in glaucoma is the increased prevalence of cross-linked actin networks (CLANs) in cells of the trabecular meshwork (TM) and lamina cribrosa (LC). In glaucomatous cells, rearrangement of linear actin stress fibers leads to formation of polygonal arrays within the cytoplasm, resembling a geodesic dome-like structure, that we identified as cross-linked actin networks (CLANs). In addition to increased amounts of CLANs in POAG TM cells and tissues, we also discovered that glucocorticoid (GC) and TGFb2 signaling pathways associated with the development of ocular hypertension (OHT) and glaucoma also induced CLANs in the TM. Despite a clear association, we are yet to completely understand the mechanisms involved in CLANs formation and their direct relevance to disease pathology. In this chapter, we will describe methods to identify and characterize CLANs using fluorescent microscopy in primary TM cell cultures, ex vivo perfusion cultured human anterior segments, and in situ in human donor eyes. Given the association of CLANs with glaucoma pathology (Fig. 1), it is important to determine the molecular mechanisms involved in CLAN formation and to discover new potential disease modifying therapies to better treat glaucomatous damage to the TM.
Temporal variability in air temperature lapse rates across the glacierised terrain of the Chandra basin, western Himalaya
Authors: Oulkar Sunil N. , Sharma Paramanand , Laha Sourav , Pratap Bhanu , Thamban Meloth
Published: January 2024

The air temperature lapse rate (TLR) is one of the essential parameters for glacio-hydrological studies. However, TLR estimations are limited in the glacierised regions of Himalaya due to a scarcity of long-term observations. Therefore, a dense in-situ monitoring network over a high Himalayan region is needed to estimate the TLR accurately. Here, in-situ air temperature data is obtained from Automatic Weather Stations (AWS) installed over the Chandra basin, western Himalaya, from October 2020 to September 2022. This data is used to estimate the TLR by regressing the air temperature with the corresponding elevations. We estimated the mean annual TLR of 3.8 ± 0.3°C km− 1 for the entire Chandra basin, significantly less than the standard environmental lapse rate (6.5°C km− 1). We found substantial seasonal variability in each TLR time series. The maximum TLR is 5.8 ± 0.2°C km− 1 during the summer, and the minimum is -1.6 ± 0.1°C km− 1 during winter, comparing all the meteorological stations. Further, we observe strong diurnal fluctuations of TLR, which has maximum and minimum values during 10:00 to 18:00 hrs and 20:00 to 09:00 hrs, respectively. The study highlights that the temporal variability of TLR is site-specific and strongly correlated with wind speed, relative humidity, and radiation fluxes. Furthermore, a temperature-index model is used to assess the implications of TLR by estimating glacier mass balance. This study highlights the importance of considering observed TLR to accurately model surface mass balance over the glacierised Himalayan region.
Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer by Clinicopathological Indicators and Ultrasound Parameters Using a Nomogram
Authors: Zhang Tingjian , Liu Yuyao , Tian Tian
Published: January 2024

Purpose
Explore the impact of pretreatment serum albumin-to-alkaline phosphatase ratio (AAPR) and changes in tumor blood supply on pathological complete response (pCR) in breast cancer(BC) patients following neoadjuvant chemotherapy (NACT). Additionally, establish and validate a nomogram for predicting pCR.
Methods
Included BC patients undergoing NACT at Yongchuan Hospital of Chongqing Medical University from January 2019 to October 2023. Analyzed the correlation between pCR and clinicopathological factors, as well as tumor ultrasound features, using chi-square or Fisher's exact test. Developed and validated a nomogram predicting pCR based on regression analysis results.
Results
The study included 176 BC patients, with 38.64% achieving pCR after NACT. Logistic regression analysis identified AAPR [odds ratio (OR): 2.616, 95% confidence interval (CI): 1.140–5.998, P = 0.023], changes in tumor blood supply after two NACT cycles (OR: 2.247, 95%CI: 1.071–4.716, P = 0.032), tumor histological grade (OR: 3.843, 95%CI: 1.286–10.659, P = 0.010), and HER2 status (OR: 2.776, 95%CI: 1.057–7.240, P = 0.038) as independent predictors of pCR after NACT. The nomogram, based on AAPR, changes in tumor blood supply after two NACT cycles, tumor histological grade, and HER2 status, demonstrated a good predictive capability.
Conclusion
AAPR, changes in tumor blood supply after two NACT cycles, tumor histological grade, and HER2 status independently predicted pCR in BC patients following NACT. The nomogram, based on these positive factors, demonstrated a good predictive ability.
All-optical in vivo photoacoustic tomography by adaptive multilayer acoustic backpropagation
Authors: Yoon Taeil , Ko Hakseok , Im Jeongmyo , Chung Euiheon , Choi Wonshik , Lee Byeong Ha
Published: January 2024

Photoacoustic imaging offers both high optical contrast and substantial imaging depth, serving as a robust tool for diverse biological and medical applications. While piezoelectric ultrasound transducers have traditionally been employed for acoustic pressure measurements and array-based configurations have enabled high-speed volumetric imaging. However, these approaches often require physical contact with the specimen under imaging and face limitations in spatial sampling bandwidth. To address these challenges, we present an all-optical photoacoustic imaging technique designed for high-resolution volumetric imaging of objects embedded within optically thick scattering media. Utilizing a soft cover layer and employing coherent averaging, our system enables optical profiling of nanometer-scale surface displacements caused by photoacoustic waves with subwavelength spatial sampling, even on complex and dynamically fluctuating biological surfaces. Furthermore, we introduce an adaptive multilayer acoustic backpropagation algorithm for high-resolution image reconstruction. This algorithm offers in situ adjustment of acoustic velocities across different media, compensating for the impedance mismatch between the tissue and the cover layer. The system achieves imaging up to a depth of 5 mm, with lateral and axial resolutions of 158 µm and 92 µm, respectively. We demonstrate in vivo volumetric imaging of the vasculature of a mouse's hindlimb as well as the blood vessels of a chicken embryo.
A Two-Eyed Seeing approach to describe Gumegwsis (Cyclopterus lumpus) ecology and fisheries interactions in the inner Mawipoqtapei (Chaleur Bay), Canada
Authors: No’gmaq M’sɨt , Ugpi’ganjig  , Gillis Carole-Anne , Chiasson Billie , Gagnon Catherine-Alexandra , Gosselin Pascale , Arsenault Lloyd , Vicaire John Murvin
Published: January 2024

The integration of diverse knowledge systems, encompassing Indigenous, local, and Western perspectives, is gaining traction in Canadian scientific research for coastal areas and fisheries. Despite proven successes, skepticism persists among scientists and decision-makers, leading to ineffective recovery measures for endangered aquatic species. Responding to concerns from Mi’gmaw fishers in Ugpi’ganjiq, the Gespe’gewa’gi Institute of Natural Understanding (GINU) initiated a collaborative project focused on the threatened Gumegwsis (Common lumpfish) in Chaleur Bay, Eastern Canada. Employing a Two-eyed seeing approach, the study combined interviews, mapping, and temperature monitoring, uncovering Gumegwsis life history, its significance to local fishers, behavioral changes, and critical spawning and nursery habitats. In contrast to prior assessments, which dismissed ceremonial and Aboriginal Traditional Knowledge (ATK) uses, our study highlighted the unique insights of Mi’gmaw fishers, emphasizing the importance of embracing diverse knowledge for species ecology and habitat understanding. This underscores the need for collaborative species recovery strategies, advocating for the co-creation of solutions and fostering cooperation in fisheries research.
DEVELOPMENT OF ZISWAF LABORATORY MODEL INTEGRATED MB-KM CURRICULUM USING ROWNTREE MODEL
Authors: Afrianty Noni , Setiawan Adi
Published: January 2024

Abstrak: Penelitian ini bertujuan untuk melakukan pengembangan model laboratorium yang teirntegrasi dengan kurikulum MB-KM dengan menggunakan pendekatan Model Rowntree. Hasil penelitian ini menunjukkan bahwa pedoman yang dikembangkan sebagai petunjuk pelaksanaan PPL dan KKN MB-KM dikategorikan baik, sehingga dapat digunakan dalam pengembangan model laboratorium ZISWAF Fakultas EKonomi dan Bisnis Islam UIN Fatmawati Sukarno Bengkulu

Kata kunci: Model Laboratorium, Kurikulum MB-KM, Model Rowntree

 

Abstract: This study aims to develop a laboratory model that integrates with the MB-KM curriculum using the Rowntree Model approach. The results of this study show that the guidelines developed as guidelines for the implementation of PPL and KKN MB-KM are categorized as good, so that they can be used in the development of the ZISWAF laboratory model of the Faculty of Islamic Economy and Business UIN Fatmawati Sukarno Bengkulu

Keywords: Laboratory Model, MB-KM Curriculum, Rowntree Model
UNCOVERING THE RESEARCH LANDSCAPE OF ISLAMIC FINTECH: A BIBLIOMETRIC ANALYSIS
Authors: Sofyan Syaakir , Sofyan A. Syathir , Jalil Abdul , Rusanti Ega , Nuriatullah Nuriatullah , Nurfitriani Nurfitriani , Iftitah Iftitah
Published: January 2024

Abstrak: Kajian mengenai Islamic fintech semakin berkembang seiring dengan kemajuan teknologi dan fintech. Tujuan dari kajian ini adalah untuk mengkaji tren perkembangan kajian Islamic fintech yang telah diterbitkan dalam jurnal yang terindeks Scopus dengan menggunakan kata kunci yaitu islamic fintech, islamic financial technology, sharia fintech, dan sharia financial technology. Analisis dilakukan terhadap karakteristik dan tren kata, serta abstrak, penulis, dan jurnal. Data yang dianalisis meliputi 95 artikel yang ditulis oleh 251 penulis dan terpublikasi dalam 56 jurnal. Metode analisis bibliometrik digunakan dengan menggunakan R Biblioshiny untuk menghasilkan peta bibliometrik. Hasil penelitian menunjukkan peningkatan signifikan dalam jumlah publikasi tentang Islamic fintech. Dalam analisis bibliometrik, ditemukan bahwa para penulis cenderung mengkaji isu-isu terkait pengguna Islamic fintech dengan menggunakan beberapa teori penerimaan aplikasi, sehingga pendekatan kuantitatif lebih dominan. Beberapa tema penelitian yang memiliki potensi untuk berkembang di masa depan meliputi isu pengguna, layanan keuangan sosial Islam, dan dampak terhadap performa dan pertumbuhan ekonomi. Penelitian ini memberikan kontribusi bagi penelitian masa depan serta memberikan pembaruan ilmiah dalam penilaian publikasi Islamic fintech yang memiliki pentingnya baik dari segi praktis maupun teoritis bagi kalangan akademisi.

Kata kunci: Bibliometrik, Tren penelitian, Teknologi keuangan Islam

 

Abstract: Studies on Islamic fintech are growing with advances in technology and fintech The purpose of this study is to examine the development trend of Islamic fintech studies that have been published in Scopus indexed journals using the keywords islamic fintech, islamic financial technology, sharia fintech, and sharia financial technology. The characteristics and trends of words, abstracts, authors, and journals were analyzed. The data analyzed included 95 articles written by 251 authors and published in 56 journals. The bibliometric analysis method was used in R Biblioshiny to produce bibliometric maps. The results indicate a significant increase in the number of publications on Islamic fintech. The results of the bibliometric analysis found that the authors tend to examine issues related to Islamic fintech users using several theories of application acceptance, so that the quantitative approach is more dominant. Several research themes that have the potential to develop in the future include user issues, Islamic social financial services, and their impact on economic performance and growth. This study contributes to future research and provides scientific updates in the assessment of Islamic fintech publications, which have both practical and theoretical importance for academics.

Keywords: Bibliometric, Research trend; Islamic fintech
UM MÉTODO MAIS EFICIENTE DE ISOLAMENTO DO LAPACHOL DIRETAMENTE DA MATRIZ VEGETAL DO IPÊ
Authors: Pinto Douglas , da Silva Robson , Forezi Luana , Ferreira Vitor , da Silva Fernando
Published: January 2024

A MORE EFFICIENT METHOD OF ISOLATING LAPACHOL DIRECTLY FROM THE IPÊ VEGETABLE MATRIX. Lapachol, a naphthoquinone discovered in 1858, is a natural product with a broad spectrum of therapeutic activities, along with its derivatives and analogues. Initially found in several species of the Bignoniaceae family, lapachol can also be found in other families. Lapachol arouses great interest and knowledge due to its crucial role in medicinal chemistry, playing an important role in the rational planning of research in search of bioactive substances with pharmacological action, whether as a source of raw material or helping directly or indirectly. This work aims to describe a new methodology for extracting lapachol, which differs from the conventional acid-base method, providing a highly efficient, simple and easy-to-apply process.
Kelayakan Bisnis dari Aspek Sumber Daya Manusia pada Pembangunan Hotel di Bogor
Authors:   Program Studi Pariwisata, Sekolah Tinggi Pariwisata Bogor Jln. Curug Mekar No. 17, Yasmin. Kota Bogor, Jawa Barat 16113, Indonesia, Hambali Hasan , Dinitri Seruni ,   Program Studi Pariwisata, Sekolah Tinggi Pariwisata Bogor Jln. Curug Mekar No. 17, Yasmin. Kota Bogor, Jawa Barat 16113, Indonesia
Published: January 2024

The human resource aspect is one of the important aspects in a business feasibility study. Therefore, as one of the business functions called human resource management, human resources must be managed properly in order to increase the effectiveness and efficiency of the organization. This research methodology uses a qualitative descriptive method. The results of the analysis show that human resources include planning human resource personnel totaling 74 people with details of 46 employees and 28 daily employees. The organizational structure that explains the responsibilities of each department and the planning of wages in one month is Rp. 274.950.000. The conclusion from the above analysis can be concluded that the Bogor hotel seen from the human resources is feasible to build and the planned human resources are in accordance with the needs of three-star hotels.
Pengaruh Daya Tarik Wisata terhadap Keputusan Berkunjung ke Anjungan
Authors:   Sekolah Tinggi Pariwisata Bogor, Jl. Curug Mekar No. 17, Yasmin. Kota Bogor, Jawa Barat 16113, Indonesia, Anggoro Damas Aryo , Baskoro Dimas Aryo ,   Sekolah Tinggi Pariwisata Bogor, Jl. Curug Mekar No. 17, Yasmin. Kota Bogor, Jawa Barat 16113, Indonesia
Published: January 2024

The purpose of this study is to determine the influence of tourist attraction to the decision to visit the tourist attraction. This research uses quantitative approach method, data analysis in this research is by using descriptive statistical analysis, with the nature of wanting to test the truth of a hypothesis made through the collection of primary data and secondary data, in order to predict and explain the relationship or influence of one variable to another.The effect of tourist attraction on guest decisions has a strong relationship. This result with a result of 0.601 shows a strong tourist attraction to the decision to visit the tourist attraction. Analysis by calculating the determination to know the strong influence given by the tourist attraction to the holiday decision, that is by squaring that happened. From the result show R Square = 0,361 or equal to 36,1% owned by tourist attraction and the remaining 63,9% owned by other variable which not examined and the conclusion obtained that the variable of tourist attraction has a strong influence on the decision to visit the the tourist attraction.
Removal of nitrogen and phosphorous from blackwater via an integrated nature-based system: hybrid-vertical flow constructed wetland, upflow anaerobic fixed biofilm reactor, and granular activated charcoal column along with in situ electrochlorination disinfection
Authors: Gogoi Jayanta Kumar , Mutnuri Srikanth
Published: January 2024

The hybrid vertical-flow constructed wetland (H-VFCW) sequenced with an upflow anaerobic fixed biofilm reactor (UAFBR) was developed to treat blackwater for single households. The H-VFCW filter bed layer's redox zonation and hydraulic retention time (HRT) were designed optimally with the potential of simultaneous nitrification, denitrification, and enhanced biological phosphorous removal. The UAFBR optimisation for residual nitrate removal was based on the carbon -nitrogen ratio, HRT, and biofilm growth on carriers. Complete disinfection was achieved by optimised in situ electrochlorination by dosing 0.16% sodium chloride, with 20 min of electrolysis and 44.48 Am−2 of current density. The power consumption was 1.81±0.14 KWhm−3. Ammonia volatilisation was studied on a granular activated charcoal column (GACC) column to remove residual TAN as the final treatment. The integrated treatment system removed 98.63 ± 0.15% chemical oxygen demand (COD), 97.09 ± 0.19% total nitrogen (TN), 93.96 ± 0.34% nitrate (NO3−), 97.92 ± 0.2% TAN, 99.62 ± 1% orthophosphate (PO43−), 87.49 ± 0.36% total suspended solids (TSS), and 100% Coliform, with the final effluent pH of 8.4 ± 0.08. The microbial and functional annotation diversity of the UAFBR biofilm was studied. The treatment systems achieved the Central Pollution Control Board (India) effluent discharge standards.
INTEGRAÇÃO ESTRATÉGICA ENTRE MODELOS DE GOVERNANÇA BASEADOS EM ESG E TECNOLOGIAS DE CIDADES INTELIGENTES:
Authors: Souza Martins Miralda , Gammarano Igor , Beleza Soares Cléber , Margalho Coutinho Mauro
Published: January 2024

Este artigo teórico busca elucidar a intersecção crítica entre os paradigmas emergentes de Cidades Inteligentes e os princípios de ESG (Ambiental, Social e Governança), propondo uma matriz conceitual robusta para alinhar estrategicamente estas duas vertentes. A pesquisa sintetiza as principais teorias sobre cidades inteligentes e modelos de governança ESG, preenchendo lacunas significativas na literatura existente sobre como estas entidades urbanas dinâmicas podem se esforçar para a construção de uma sociedade mais inclusiva e sustentável. Além de desvendar os desafios inerentes à desigualdade no acesso às tecnologias inteligentes, o estudo mergulha profundamente nos mecanismos de participação cidadã efetiva e na promoção de uma governança transparente e responsável. Utilizando uma abordagem multidisciplinar, o artigo avalia o impacto potencial de estratégias interconectadas em diferentes escalas—desde políticas públicas até intervenções empresariais—apresentando um quadro de avaliação e métricas específicas para medir o sucesso na implementação de iniciativas alinhadas com os Objetivos de Desenvolvimento Sustentável (ODS) da ONU e as práticas de responsabilidade corporativa. Os resultados apoiam a premissa de que a integração estratégica de tecnologias de cidades inteligentes e princípios de ESG resultam em benefícios significativos, incluindo uma maior transparência governamental, participação cidadã acentuada e avanços significativos em metas de sustentabilidade ambiental. Ao fornecer percepções acionáveis para decisores políticos, urbanistas e líderes corporativos, a pesquisa contribui de forma inovadora para o desenvolvimento de uma cidade inteligente que é não apenas eficiente e tecnologicamente avançada, mas também socialmente justa e ambientalmente sustentável.
The Therapeutic Significance of HER3 in Non-small Cell Lung Cancer (NSCLC): A Review Study
Authors: Trinder Amelia , Ding Ke , Zhang Jinwei
Published: January 2024

HER3 (Human Epidermal Growth Factor Receptor 3) is frequently overexpressed
in various cancers, including non-small cell lung cancer (NSCLC), with a prevalence
of 83% in primary tumors. Its involvement in tumorigenesis and resistance to targeted
therapies makes HER3 a promising target for cancer treatment. Despite being initially
considered “undruggable” due to its lack of catalytic activity, significant progress
has been made in the development of anti-HER3 therapeutics. Monoclonal antibodies
such as lumretuzumab, seribantumab, and patritumab have shown potential in targeting
HER3 to overcome resistance to epidermal growth factor receptor (EGFR) tyrosine kinase
inhibitors (TKIs). Additionally, antibody-drug conjugates (ADCs) like HER3-DXd
(patritumab deruxtecan) are new drug candidates that have demonstrated selective delivery
of cytotoxic chemicals to NSCLC cells by exploiting HER3's widespread expression,
minimizing cytotoxicity. This review aims to evaluate the efficacy of current
HER3 therapeutics in development and their therapeutic potential in NSCLC, incorporating
evidence from clinical trials.
Associations of Indoxyl Sulfate and p-cresyl Sulfate with Serum Uncarboxylated Matrix γ-carboxyglutamate Protein in Chronic Kidney Disease Patients
Authors: Tang Xiaofang , Liu Di , Xia Ming , Liu Yu , Liu Hong
Published: January 2024

Background:

Indoxyl sulfate (IS) and p-cresyl sulfate (PCS) are two important
protein-bound uremic retention solutes. Increased serum levels of IS and PCS are associated
with cardiovascular calcification. Matrix γ-carboxyglutamate protein (MGP) is
a potent inhibitor of vascular calcification and inactivated uncarboxylated MGP (ucMGP)
is related to vascular calcification. Nevertheless, whether serum levels of IS and PCS
are associated with the serum ucMGP level in chronic kidney disease (CKD) patients
with different stages is unknown.

Methods:

This cross-sectional study enrolled 90 patients in different stages of chronic
kidney disease. Serum levels of IS and PCS were determined. The serum concentration
of ucMGP was measured with an enzyme-linked immunosorbent assay. Independent associations
between serum total IS and PCS with ucMGP were evaluated.

Results:

The mean serum level of ucMGP in participants of this study is 10.78 ±5.22
μg/mL. Serum levels of the two above-mentioned uremic toxins and ucMGP were elevated
commensurately with deteriorating renal function. The serum level of ucMPG was associated
with total IS (r = 0.456, p < 0.001) and total PCS (r =0.413, p < 0.001) levels.
Multiple linear regression analysis showed that ucMGP was significantly related to levels
of IS (β = 0.442, p <0.001), but not the level of PCS concentrations after adjusting
for other confounding variables.

Conclusion:

Our study showed that a higher serum IS level was independently associated
with ucMGP in deteriorating CKD. Therefore, it would be worthwhile to investigate
the effect of IS on ucMGP in the pathogenesis of vascular calcification in future studies.
CDK4 as a Prognostic Marker of Hepatocellular Carcinoma and CDK4 Inhibitors as Potential Therapeutics
Authors: Lai Fobao , Fang Yingbing , Cheng Cong , Zhong Xuejing , Zheng Wanrong , Lan Shiqian , Peng Quanshui , Cai Xiumei , Cao Tiantian , Zhong Chengqian , Gao Yuzhen
Published: January 2024

Background:

The proteins CDK4 and CDK6, which are extremely homologous,
control cell cycle entry. For the treatment of breast tumors that include hormone receptors,
CDK4 and CDK6 inhibitors have been authorized. The link between CDK4 and
liver hepatocellular carcinoma (LIHC), however, has not yet been established.

Objective:

The study aimed to explore the link between CDK4 and LIHC and the effect
of CDK4 inhibitors on LIHC.

Methods:

In this study, we have evaluated CDK4's prognostic relevance in LIHC using
data from The Cancer Genome Atlas (TCGA). The relationship between clinical-pathologic
features and CDK4 expression has been evaluated using the Kruskal-Wallis test,
the Wilcoxon signed-rank test, and logistic regression. We have analyzed CDK4 and factors
related to the prognosis of HCC using the Kaplan-Meier technique and multivariate
Cox regression. Gene set enrichment analysis (GSEA) identified CDK4-related critical
pathways. To investigate the connections between CDK4 and cancer immune infiltrates,
TCGA data were employed in single-sample gene set enrichment analysis (ssGSEA).
For functional validation, CDK4 was chosen since it can be inhibited by recognized CDK4/
6-inhibitors (e.g., abemaciclib).

Results:

Poorer overall and disease-specific outcomes were linked to high CDK4 expression
in HCC patients. GSEA suggested that CDK4 and immune response are closely connected.
The amount of Th2 cells infiltrating was positively correlated with CDK4 expression,
while the amount of cytotoxic cells infiltrating was negatively correlated, according
to ssGSEA. Both in vitro and in vivo, the anti-tumor efficacy of CDK4 inhibitor has
been found to be superior to that of sorafenib.

Conclusion:

This study suggests a relationship between CDK4 and immune infiltration
and prognosis in HCC. Additionally, a CDK4 inhibitor may have anti-tumor properties
against hepatocellular cancer.