bluuebunny/crossref_metadata_2025 huggingface dataset:
The role of red-cell distribution width (RDW) and mean platelet volume (MPV) as biomarkers of community-acquired pneumonia (CAP) severity
Authors: Purwanto Edy , Estiko Reza Ishak , Putri Firdausia Rahma , Rosita Linda , Yuantari Rahma
Published: October 2023

Community-acquired pneumonia (CAP) remains a leading cause of morbidity and mortality worldwide. Red-cell distribution width (RDW) and mean platelet volume (MPV) are two parameters included in complete blood count (CBC). It is simple, inexpensive, and widely available in any hospital. Many previous studies have shown that RDW and MPV can be used as supporting biomarkers for CAP, but the study in this area remains limited. This study aims to investigate the relationship between RDW and MPV with the severity of CAP and their potential as biomarkers. We conducted a scoping review of original articles using PubMed, Springer Link, Taylor and Francis, EBSCO, Cochrane Library, Google Scholar, Medline, Science Direct, Wiley, and Portal Garuda. Only articles published between 2012 and 2022 in English or Indonesian were included. Out of 11,852 articles reviewed, only 18 met the criteria for the focus on using RDW, MPV, or both as biomarkers for CAP. The details of these studies, including their research design, internal and external validity, and key results, are presented. The results show that increased RDW and MPV levels correlate with higher morbidity and mortality rates among CAP patients. Elevated levels of RDW (>14%) and MPV (>8.1 fL) can predict and acts as a biomarker of CAP severity. Thus, measuring RDW and MPV may give physicians a way to anticipate the outcomes for patients with CAP, helping them make and implement decisions, either alone or in combination with other established methods.
PENGEMBANGAN SISTEM PRESENSI UNTUK WORK FROM HOME (WFH) DAN WORK FROM OFFICE (WFO) SELAMA PANDEMI COVID-19
Authors:   Fakultas Teknologi Industri, Universitas Islam Indonesia, Putra Fajar Pratama Purwantoro
Published: October 2023

Kebijakan bekerja dari rumah atau work from home adalah salah satu kebijakan yang diambil oleh perusahaan-perusahaan sebagai cara untuk beradaptasi dengan pandemi COVID-19 yang belum menunjukkan penurunan. Kebijakan ini diterapkan dengan tujuan agar karyawan tidak perlu datang ke kantor untuk bekerja dengan mengerjakan pekerjaannya secara remote dari rumah. Akan tetapi, seiring berjalannya waktu banyak perusahaan yang menerapkan sistem hybrid, yaitu mempekerjakan sebagian karyawannya dari rumah dan dari kantor sebagai penerapan dari new normal. Salah satu kendala yang ditemui oleh perusahaan yang menerapkan work from office sekaligus work from home adalah data kehadiran karyawan yang tidak terintegrasi dalam sebuah sistem. Untuk mengatasi kendala tersebut, dibutuhkan sebuah sistem presensi yang dapat digunakan baik dari rumah ataupun dari kantor untuk mempermudah proses pengajuan dan pendataan kehadiran karyawan. Sistem ini berbentuk aplikasi berbasis web yang dikembangkan menggunakan Laravel. Selain itu, sebuah Rest API juga dikembangkan agar sistem dapat digunakan pada aplikasi mobile. Makalah ini membahas fitur-fitur apa saja yang dapat diimplementasikan ke dalam sebuah sistem presensi sebagai solusi dari kendala tersebut. Berdasarkan hasil penelitian, diketahui bahwa fitur-fitur yang terdapat pada sistem presensi dapat mempermudah proses pengajuan, pendataan, dan manajemen kehadiran karyawan karena sistem dapat dengan mudah digunakan pada web browser dan aplikasi mobile.
IMPLEMENTASI BLOC PATTERN PADA PENGEMBANGAN FRONTEND FITUR TOP UP LINKAJA APLIKASI M-BANKING AGEN46 DENGAN	TEKNOLOGI FLUTTER (STUDI KASUS : PT. BANK NEGARA INDONESIA TBK)
Authors: Anastasia Farah Dila , Paputungan Irving Vitra
Published: October 2023

Abstract–Proses pengembangan aplikasi mobile atau aplikasi seluler untuk perusahaan bisnis global menjadi sangat penting di era digital saat ini. Penting bagi sebuah perusahaan untuk memanfaatkan dan memilih teknologi yang digunakan dalam efisiensi pengembangan sistem. PT. Bank Negara Indonesia (BNI) memilih Flutter sebagai framework dalam mengembangkan proyek Agen46. Hal ini  dalam rangka mendukung proses transmigrasi mobile banking (m-banking) Agen46 dari Android menuju aplikasi berbasis multiplatform. Pengembangan yang dilakukan menggunakan bahasa pemrograman Dart. Penggunaan mobile banking memberikan kemudahan bagi masyarakat dalam melakukan kegiatan transaksi. Dengan dukungan teknologi yang semakin maju memberi dampak terhadap munculnya inovasi baru dalam dunia perbankan salah satunya adalah adanya produk uang elektronik (e-money). PT Bank Negara Indonesia menyediakan fasilitas pembayaran nontunai dalam bentuk uang elektronik (e-money). Hal ini merupakan produk inovasi sejak adanya metode top up dalam sistem pembayaran. Flutter dijadikan solusi sebagai framework yang akan digunakan dalam pengembangan proyek aplikasi m-banking Agen46 karena dapat membuat aplikasi mobile Android maupun iOS hanya dengan satu basis coding (codebase) dalam sekali waktu. Metode yang digunakan untuk membuat aplikasi m-banking tersebut adalah Agile Scrum. Pembahasan dan Hasil yang didapatkan yaitu alur pengembangan frontend aplikasi m-banking dengan implementasi BLoC Pattern, hasil pembuatan fitur top up e-money dengan menggunakan Flutter, hasil struktur folder pengembangan fitur dengan BLoC Pattern, hasil pengujian fitur dengan menggunakan BlackBox testing secara manual. Setelah dilakukan pengembagan hingga pada tahap pengujian dengan menggunakan BlackBox testing menunjukan bahwa implementasi BLoC Pattern pada teknologi Flutter dinilai mampu memudahkan developer dalam mengembangkan fitur top up e-money dalam aplikasi perbankan ke dalam aplikasi berbasis multiplatform.
Pengembangan Desain UI/UX Aplikasi Learning Management System dengan Pendekatan User Centered Design
Authors: Novianto Anwaruddin Ridho , Rani Septia
Published: October 2023

Pandemi Covid-19 mendorong dunia pendidikan untuk beralih dari proses pembelajaran tatap muka menuju pembelajaran jarak jauh. Pembelajaran jarak jauh menjadi salah satu solusi untuk tetap dapat menjalankan kegiatan belajar mengajar di tengah pembatasan kontak fisik akibat pandemi. Pembelajaran ini diwujudkan dalam bentuk pembelajaran berbasis digital atau e-learning. Penggunaan e-learning mulai diadaptasi di antaranya dengan penggunaan aplikasi Learning Management System (LMS) oleh berbagai macam instansi pendidikan. Seiring dengan berjalannya waktu, beberapa lembaga pendidikan mulai menggunakan aplikasi LMS buatan sendiri dengan menyesuaikan kebutuhan dan model pembelajaran di lembaga masing-masing. Untuk itu, dibutuhkan desain User Experience (UX) dan User Interface (UI) aplikasi LMS yang dapat memenuhi kebutuhan dan keinginan pengguna. Penelitian ini bertujuan untuk membuat desain model LMS berbasis mobile menggunakan pendekatan User Centered Design (UCD). Aktivitas yang dilakukan meliputi riset terhadap pengguna, studi literatur, implementasi fitur pada desain, serta evaluasi menggunakan usability testing dan System Usability Scale (SUS) pada purwarupa. Berdasarkan evaluasi yang dilakukan, diperoleh nilai efektivitas dengan perhitungan completion rate sebesar 84%, nilai efisiensi dengan perhitungan Overall Relative Efficiency sebesar 91%, dan nilai kegunaan dengan perhitungan SUS sebesar 75.38. Hasil pengujian ini menunjukkan bahwa aplikasi yang didesain sudah cukup baik.
Perbandingan Perkembangan Teknologi Berbasis Nirkabel di Daerah Pelosok dan Daerah Kota
Authors: Tan Frenkie , Budiman Jovito Bryant , Skynyrd
Published: October 2023

Perkembangan teknologi semakin maju di Indonesia, tetapi perkembangan teknologi ini tidak sama untuk semua daerah. Ada daerah dengan perkembangan teknologi yang baik dan ada yang buruk. Teknologi erat kaitannya dengan hidup kita oleh karena itu penting untuk mengetahui seberapa besar perbedaan perkembangan teknologi. Untuk mengetahui seberapa besar perbedaannya dilakukan sebuah perbandingan antara daerah pelosok dan daerah kota. Perbandingan dilakukan untuk mengetahui seberapa jauh jarak perkembangan teknologi antara daerah pelosok dan kota serta mencari tahu provider mana yang memiliki pengaruh yang paling besar. Penelitian ini dilakukan dengan menggunakan metode kualitatif deskriptif. Dengan metode kualitatif deskriptif, Terdapat beberapa penelitian yang telah dirangkum sebelumnya dan membuahkan data untuk penelitian ini. Berdasarkan hasil penelitian mengenai perbandingan kualitas jaringan nirrkabel antara daerah pelosok dan daerah kota, diketahui bahwa provider yang paling banyak digunakan adalah Telkomsel. Hal ini menyatakan bahwa Telkomsel merupakan provider dengan pengaruh paling besar karena memiliki kualitas nirkabel yang memberikan layanan yang baik dan mencakup wilayah luas bahkan hingga daerah pelosok atau tertinggal dengan baik.
Improving compliance and evaluating physician–patient concerns in glaucoma: a pilot study
Authors: Albdour Mohannad , Shi Aaron , Wang Chuhan , Saleh Ibrahim , Kooner Karanjit S
Published: October 2023

Purpose: To improve glaucoma treatment compliance via education, medication reminders, and understanding of patient and physician concerns. Patients and methods: We selected 194 consecutive eligible patients diagnosed with primary open-angle glaucoma or ocular hypertension (OHT) at a single academic center (92 men and 102 women) for this study. All 194 eligible patients were interviewed regarding glaucoma knowledge, medication usage, concerns, and fears. They were counseled and given educational handouts that focused on patients’ forgetfulness, self-efficacy, and lifestyle. The patients were reinterviewed after 4 weeks of the intervention. An independent group of sixteen glaucoma specialists were also surveyed regarding their concerns for their glaucoma patients. Results: In this study, patients aged 65 years, or more were more compliant than those <65 years (76% vs 50%, p < 0.05). In follow-up interviews of 125 (64%) patients, our method of intervention increased patient compliance from 77% to 94% (p < 0.05), which is much higher than the reported compliance rates in the United States ranging from 28% to 60%. In addition, patients’ major fear was becoming dependent on others (p < 0.05), while physicians were more concerned about patients’ ability to administer eye drops and understanding of instructions (p < 0.05). Conclusion: We found that patients aged 65 or more were more compliant, and our intervention improved patient compliance to 94%, which is higher than the nationally reported rates. In addition, the disparity between patient and physician fears suggests that communication barriers must be addressed to improve patient care.
Biomaterials in Traumatic Brain Injury: Challenges and Perspectives
Authors: Aqel Sarah , Al-Thani Najlaa , Haider Mohammad Z. , Abdelhady Samar , Al Thani Asmaa A. , Kobeissy Firas H. , Shaito Abdullah A.
Published: October 2023

Traumatic brain injury (TBI) is among the leading causes of mortality and long-term impairment globally. TBI has a dynamic pathology encompassing a variety of metabolic and molecular events that occur in two phases, primary and secondary. An external forceful blow to the brain initiates the primary phase, which is followed by a secondary phase that involves the release of calcium ions (Ca2+) and the initiation of a cascade of inflammatory processes, including mitochondrial dysfunction, rise in oxidative stress, activation of glial cells, and damage to the blood-brain barrier (BBB), resulting in paracellular leakage. There is currently no FDA-approved drug for TBI, but existing approaches rely on delivering small and macromolecular treatments, which are severely constrained by the BBB, poor retention, off-target toxicity, and complex pathology of TBI. Therefore, there is a demand for innovative and alternative therapeutics with effective delivery tactics for diagnosis and treatment of TBI. Tissue engineering and use of biomaterials is one such alternative approach. With this approach, neuronal stem cell therapy is combined with synthetically generated tissue materials such as hydrogels, self-assembling peptides, and electrospun nanofibers, which may induce neurite outgrowth, differentiation of human neural stem cells, and nerve gap bridging in TBI. This review examines tissue engineering and the use of biomaterials as potential treatments for TBI, including their synthesis, mechanisms of action, and limitations. The review also discusses challenges facing tissue engineering and biomaterial technology including survival rate of transplanted stem cells and the development of biodegradable, biocompatible, and mechanically flexible biomaterials. A better understanding of the mechanisms and drawbacks of these novel therapeutic approaches will help guide the design of future TBI therapies.
Investigating the Limitations of Fashion Research Methods in Applying a Sustainable Design Practice: A Systematic Review
Authors: Pedroso-Roussado Cristiano
Published: October 2023

The need of research is often a complex issue. The standardization of methodologies, deeply rooted in the scientific method, has allowed humanity to progress. Since the fashion industry represents one of the most problematic industries globally, it is paramount to investigate the handicaps of fashion research practice. The goal of this systematic review is to outline the most used methodologies in the fashion research field that are being explored to achieve sustainability goals. The findings highlight the fragmentation of the literature in fashion research methodologies in relation to sustainability. Interviews and case studies are the most used methods while other less conventional, like Social Life Cycle Assessment, have been also tried. Finally, it is tested how ChatGPT can discuss and inform future routes to incorporate the findings. Together, this work reveals the handicaps of the fashion research methodologies and show an example on how ChatGPT can be assessed to help the fashion practitioners define research plans to achieve sustainable goals.
Rapid Determination of Five Residual Solvents in Ursodeoxycholic Acid Raw Materials
Authors: Zhou Ran , He Jing Yu , Shi Yi , Gao Xiao Ying , Wang Fei , Liu Si Jie
Published: October 2023

The chromatographic conditions were optimized using headspace gas chromatography, and a simple and rapid method was established for the simultaneous determination of five residual solvents in ursodeoxycholic acid raw materials. The corresponding quality standards were revised. The results showed that the concentration of methanol ranged from 0.06mg/ml to 0.3mg/ml, and the concentrations of acetone, tert butanol, ethyl acetate, and triethylamine showed a good linear relationship with the peak area within the range of 0.1mg/ml to 0.5mg/ml (r=0.999); The quantitation limits for methanol, acetone, tert-butanol, ethyl acetate, and triethylamine were 4.2, 0.9, 1.5, 1, and 0.1 μg/ml, respectively, with detection limits of 1.2, 0.25, 0.025, 0.3, and 0.025 μg/ml, respectively. The recovery rates of each solvent ranged from 92.9% to 106.0%, with RSD% (n=9) less than 3.8%; The method exhibited good repeatability, with RSD% (n=6) less than 2.5%. Furthermore, the durability is good. The established method is simple, accurate, specific, and highly sensitive, and can be used for the simultaneous and rapid determination of five residual solvents in ursodeoxycholic acid raw materials.
MFCA: Multiscale Feature Context Aggregation Detector for Oriented Object Detection in Remote-Sensing Images
Authors: Jiang Honghui , Luo Tingting , Peng Hu , Zhang Guozheng
Published: October 2023

Detecting rotational objects in remote sensing imagery is a significant challenge. These images typically encompass a broad field of view, featuring diverse and intricate backgrounds, with ground objects of various sizes densely scattered. As a result, identifying objects of interest within these images is a daunting task. While the integration of Convolutional Neural Networks (CNN) and Transformer networks leads to some advancements in rotational object detection, there is still room for improvement, particularly in enhancing the extraction and utilization of information related to smaller objects. To address this, our paper presents a multi-scale feature fusion module and a global feature context aggregation module. Initially, we fuse original, shallow, and deep features to reduce the loss of shallow feature information, thereby improving the detection performance of small objects in complex backgrounds. Subsequently, we compute the correlation of contextual information within feature maps to extract valuable insights. We name the newly proposed model the "Multiscale Feature Context Aggregation Module" (MFCA). We evaluate our proposed methodology on three challenging remote sensing datasets: DIOR-R, HRSC, and MAR20. Comprehensive experimental results show that our approach surpasses baseline models by 2.07\% mAP, 1.02\% mAP, and 1.98\% mAP on the DIOR-R, HRSC2016, and MAR20 datasets, respectively.
Low-power Multi-bit Delta-Sigma Modulator based on Passive and Attenuationless Summation Scheme
Authors: Wei Rongshan , Huang Lijie , Huang Gongxing , Wang Renping , Wei Cong
Published: October 2023

In the field of delta-sigma modulators, reducing system power consumption without sacrificing accuracy has become a challenge. The summing circuit, as the main part of the delta-sigma modulator, consumes a significant amount of power in active summing, although it can achieve perfect summation. On the other hand, passive summing circuits have low power consumption but can cause attenuation in the summing results. The objective of this article is to explore how to achieve perfect summation in a passive manner. This article proposes a low-power multi-bit delta-sigma modulator based on passive and attenuationless summation scheme. The summation circuit achieves multiplication of the voltage signal carried on the summation capacitor through bidirectional sampling technique, compensating for the inherent attenuation caused by passive summation, thus eliminating the need for active OTA to achieve perfect summation. A pseudo 3-order delta-sigma modulator based on 4-bit quantizer is designed to verify the scheme. Simulation results show that at a supply voltage of 1.2V and a bandwidth of 20kHz, the SNDR reaches 102.62dB, power consumption is only 148.32μW, and Schreier FoM of SNDR is 183.92dB.
Nonequilibrium Dynamics in Conservation Biology: Scales, Attractors and Critical Points
Authors: Sole Ricard
Published: October 2023

Preserving and restoring biodiversity is becoming a great challenge as we face a world where planetary boundaries will likely be crossed over the following decades. Such challenge needs to consider multiple scales of complexity, both in space and time. A common thread in most cases is the presence of nonlinear phenomena generating shifts among alternative states. These breaking points imply a new perception of risk and different management strategies. A broad range of phenomena affect the preservation of healthy communities and constrain the ways to deal with conservation, from local features associated with habitat loss or facilitation to mesoscale or global network-level ecological complexity and the role played by extreme events. How are these scales connected? How can the emergent properties associated with ecosystem dynamics be exploited? Here a synthesis of ideas is presented, with a complex systems view of the different scales involved, the emergent phenomena separating them, and the universal properties that allow defining simple models on each scale.
Graph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends
Authors: Gogoshin Grigoriy , Rodin Andrei S.
Published: October 2023

Next-generation cancer and oncology research needs to take full advantage of the multi-modal structured, or graph, information, with the graph datatypes ranging from molecular structures to spatially resolved imaging and digital pathology to biological networks to knowledge graphs. Graph Neural Networks (GNNs) efficiently combine the graph structure representations with the high predictive performance of deep learning, especially on the large multi-modal datasets. In this review article, we survey the landscape of recent (2020-present) GNN applications in the context of cancer and oncology research, and delineate six currently predominant research areas. Subsequently, we identify the most promising directions for future research. We compare GNNs with graphical models and "non-structured" deep learning, and devise the guidelines for cancer and oncology researchers or physician-scientists asking the question of whether they should adopt the GNN methodology in their research pipelines.
Clinical Outcomes of Next-Generation Microwave Thermosphere Ablation for Hepatocellular Carcinoma with Primarily Hepatitis-Related Etiology
Authors: Nakamura Shinichiro , Tada Toshifumi , Sue Masahiko , Matsuo Yu , Murakami Shiho , Muramatsu Toshiro , Morii Kazuhiko , Okada Hiroyuki
Published: October 2023

Background and aim
We investigated the clinical outcomes of patients with hepatocellular carcinoma (HCC) who underwent next-generation microwave thermosphere ablation (MTA).
Methods
A total of 429 patients with 607 HCCs (maximum tumor diameter ≤40 mm) were included.
Results
The primary etiologies of HCC were hepatitis-related: 259 (60.4%) cases of HCV, 31 (7.3%) cases of HBV, and two instances of both. Median maximum tumor diameter was 15.0 (interquartile range, 10.0–21.0) mm. There were 86 tumors in areas of the liver where MTA is difficult. The most common area was near the primary and secondary branches of the intrahepatic portal vein (26 nodules). The cumulative local tumor recurrence rates at 1, 2, and 3 years were 4.4%, 8.0%, and 8.5%, respectively. The cumulative local tumor recurrence rate differed significantly by tumor size group: ≤20 mm group (n=483), 20–30 mm group (n=107), and ≥30 mm group (n=17) (p<0.001). The cumulative local tumor recurrence rate was similar by difficult-to-treat status (p=0.169). In the multivariable analysis, tumor size (per 1 mm) (hazard ratio [HR], 1.07; 95% conﬁdence interval [CI], 1.03–1.11; p<0.001) and ablative margin (per 1 mm) (HR, 0.81; 95% CI, 0.70–0.92; p=0.002) were significantly associated with local tumor recurrence. Only tumor size (per 1 mm) (odds ratio, 1.08; 95% CI, 1.02–1.15; p=0.015) was significantly associated with complications.
Conclusions
MTA is a safe and effective local ablation therapy for HCC, even for tumors located in areas of the liver where local ablation therapy is difficult.
A Hybrid Whale Optimization Algorithm for QoS-Aware Manufacturing Cloud Service Composition
Authors: Jin Hong , Jiang Cheng , Lv Shengping
Published: October 2023

Cloud Manufacturing (CMfg) has attracted lots of attention from scholars and practitioners. The purpose of quality of service (QoS)-aware manufacturing cloud service composition (MCSC), as one of the key issues in CMfg, is to combine different available manufacturing cloud services(MCSs) to generate an optimized MCSC that can meet diverse requirements of customers. However, many available MCS, deployed in the CMfg platform, have same function but different QoS attributes. It is a great challenge to achieve optimal MCSC with high QoS. In order to obtain better optimization results efficiently for the QoS-MCSC problems, a whale optimization algorithm(WOA) with adaptive weight, Lévy flight, and adaptive crossover strategies (ASWOA) is proposed. In the proposed ASWOA, the adaptive crossover inspired by the genetic algorithm is developed to balance the exploration and exploitation. The Lévy flight is designed to expand the search space of WOA and accelerate the convergence of WOA with adaptive crossover. The adaptive weight is developed to extend the search scale of the exploitation. Simulation and comparison experiments are conducted on different scale QoS-MCSC problems. The experimental results demonstrate that the proposed ASWOA outperforms other compared cutting-edge algorithms.
Spatial Analysis of UAS-generated data to Evaluate Nitrogen Fertilizer Placement Alternatives, Predict and Map End-of Season Rice Yield
Authors: Duoduaa Ama Twumasi , Manu Andrew , Lawler Thomas J. , Avornyo Vincent Kojo , Adu-Gyamfi Raphael , Mohammed Amisu
Published: October 2023

TThe following three objectives were tested in this study: (1) investigate the utility of low-altitude remote sensing using UAS technology to compare the effects of different N application systems in rice production; (2) use spatial extrapolation to scale up plot-level generated to farmer field rice yield data based on crop spectral signatures, and (3) predict and map out rice productivity as a function of N placement systems. Images were captured on a UAV platform at midseason of the rice crop. Orthomosaics were developed for selected fields in rice-producing zones. Grain yields were assessed from low, medium, and high crop health plots delineated based on NDVI values. On the plot scale, UDP outyielded non-UDP by 0.84%. Individual plot yield data were scaled up to the farmer field level through Jenks natural breaks classification and es-tablishing an empirical relationship between OSAVI and plot yields. Assessment of the scaled-up field levelfield-level data also confirmed the superiority of UDP N man-agement over the non-UDP systems in promoting rice yields. Scaling up plot scale da-ta to whole field levels also facilitated generating and mapping expected yield maps for individual farmer fields in the three zones studied. This study has established a tangible simple but tangible protocol protocol for predicting and mapping rice yields in small-scale farmer fields using UAS data.
Laparoscopic Prediction of Primary Cytoreducibility of Epithelial Ovarian Cancer
Authors: Golia D’Augè Tullio , Giannini Andrea , Cuccu Ilaria , De Angelis Emanuele , Di Donato Violante , Muzii Ludovico , D'Oria Ottavia , Chiantera Vito , Gerli Sandro , Caserta Donatella , Besharat Aris Raad , Laganà Antonio Simone , Bogani Giorgio , Favilli Alessandro
Published: October 2023

Ovarian cancer affects thousands of women every year and represents the female cancer with the highest mortality rate. Surgery is currently the cornerstone of the treatment of this disease and several methods have been analyzed and developed to predict the possibility of obtaining a residual tumor of 0 (RT=0). The aim of this review is to analyze the data available in the literature about minimally invasive surgical methods to predict the optimal cytoreduction of patients with advanced epithelial ovarian cancer undergoing primary debulking surgery (PDS). A review of the literature has been performed on the available data about the criteria of cytoreducibility during PDS for the surgical treatment of advanced epithelial ovarian cancer. The assessment of the extent of intra and extrabdominal pathology is essential to guide the surgeon in the most appropriate therapeutic choice for patients with ovarian cancer, so radiological methods (MRI, PET-scan and CT), surgical (mini-laparotomy, laparoscopy) and serological (CA-125, HE4) can provide a huge help for tailoring the therapeutic approach of these patients.
Reading the Palimpsest of Cell Interactions: What Questions May We Ask of the Data?
Authors: Pavlicev Mihaela , Wagner Günter
Published: October 2023

Biological function depends on the composition as well as structure of the organism, that is the organization of interactions between its parts. In multicellular organisms, the complex communication between cells is crucial for the coordination of cellular functions (growth, differentiation, apoptosis), compartmentalization of cellular processes within the organism, and the integration of cells into functioning higher levels of structural organization. Here we focus on the interaction among cells, as the basic level of biological organization, capable of a remarkable degree of autonomy and self-maintenance. While a wealth of data on putative cell interactions has recently become available, its biological interpretation depends on expectations we have for the structure of these interaction networks. This contribution is an attempt at formulating basic questions we may ask about cell interaction data. We build on the understanding that cells fulfill two general functions: the integrity-maintaining and the organismal service function. We derive the expected patterns of cell interactions considering two intertwined aspects: the immediate functional and the evolutionary. Based on these, we propose several guidelines for analysis and interpretation of transcriptional cell-interactome data.
Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in
Resource-Constrained Environments
Authors: Doniec Rafał , Berepiki Eva Odima , Piaseczna Natalia , Sieciński Szymon , Piet Artur , Irshad Muhammad Tausif , Tkacz Ewaryst , Cedro Tomasz , Fareedi Abid Ali , Gagnon Stéphane , Grzegorzek Marcin , Glinkowski Wojciech
Published: October 2023

Cardiovascular diseases (CVD) are chronic diseases associated with a high risk of mortality
and morbidity. Early detection of CVD is crucial to initiating timely interventions, such as appro-
priate counseling and medication, which can effectively manage the condition and improve patient
outcomes. Preventive measures should be implemented at the general public level, promoting a
healthy lifestyle, and at the individual level, that is, in people with moderate to high risk of CVD
or patients already diagnosed with CVD by addressing an unhealthy lifestyle. Personalized early
diagnostic systems based on artificial intelligence (AI), ontologies, and other medical information
processing systems may prove to be a great preventive measure. In this paper, we focus on the use
of ontology-inspired database models in the diagnosis of cardiovascular disease, as well as their
potential for use in web application development.
Ketamine, an Old–New Drug: Uses and Abuses
Authors: Savić Vujović Katarina , Jotić Ana , Medić Branislava , Srebro Dragana , Vujović Aleksandar , Žujović Janko , Opanković Ana , Vučković Sonja
Published: October 2023

Ketamine as an old - new drug has variety of clinical implications. In the last 30 years, ketamine has become popular for acute use in humans. Ketamine at standard doses is principally utilized for the induction and maintenance in surgical procedures. Beside its use in anesthesia and analgesia, recently studies had shown that ketamine find the place in the treatment of asthma, epilepsy, depression, bipolar affective disorders, alcohol and heroin addiction. Its mechanism of action is complex, but it mostly acts as a noncompetitive antagonist at the N-methyl-D-aspartate (NMDA) receptor. Ketamine is generally considered relatively secure and does not result in serious adverse effects when used at low doses and for short periods- Also, ketamine is known as a powerful psychostimulant. During the past decade, ketamine has been one of the commonly abused drug.
Combining AI Tools with Non-destructive Technologies for Crop-based Food Safety: A Comprehensive Review
Authors: Raki Hind , Aalaila Yahya , Taktour Ayoub , Peluffo Diego
Published: October 2023

On a global scale, food safety and security aspects entail to be considered throughout the farm to fork continuum considering food’s supply chain. Generally, the agri-food system is a multiplex network of interconnected features and processes, with a hard predictive rate, where maintaining the food’s safety is an indispensable element and is part of the Sustainable Development Goals (SDGs). It has led the scientific community to develop advanced applied analytical methods, such as Machine learning (ML) and Deep Learning (DL) techniques applied for assessing foodborne diseases. The main objective of this paper is to contribute to the development of the consensus version of ongoing research about the application of artificial intelligence tools in the domain of food-crops safety from an analytical point of view. Writing a comprehensive review for a more specific topic can also be challenging, especially when searching within the literature. To our knowledge, this review is the first to address this issue. This work consisted of conducting a unique and exhaustive study of the literature, using our TriScope Keywords-based Synthesis methodology. All available literature related to our topic was investigated according to our criteria of Inclusion and Exclusion. The final count of data papers was subject to deep reading and analysis to extract the necessary information to answer our research questions. Although many studies have been conducted, limited attention has been paid to outlining the applications of AI tools combined with analytical strategies for crop-based food safety specifically.
The Emerging Role of Tertiary Lymphoid Structures in Breast Cancer: A Narrative Review
Authors: Narvaez Dana , Nadal Jorge , Nervo Adrian , Costanzo Maria Victoria , Paletta Claudio , Petracci Fernando E. , Rivero Sergio , Ostinelli Alexis , Freile Berenice , Enrico Diego , Pombo Maria Teresa , Amat Mora , Aguirre Alvarez Edgar Danilo , Chacon Matias , Waisberg Federico
Published: October 2023

This narrative review aims to clarify the role of tertiary lymphoid structures in breast cancer. We examine their development, composition, prognostic value and current ways of recognising them. A comprehensive literature review was performed using PubMed/Medline, Scopus and EMBASE databases. A significant area of interest in breast cancer research involves targeting immune checkpoint molecules, particularly in the triple-negative subtype, where treatment options remain limited. However, existing biomarkers have limitations in accurately predicting treatment response.  In this context, tertiary lymphoid structures (TLS) emerge as a prognostic biomarker and also as a promising predictive marker for response. TLS are ectopic lymphoid formations or neo-organogenesis that can develop after prolonged exposure to inflammatory signals mediated by chemokines and cytokines. Their presence is inversely correlated with estrogen receptor (ER) and/or progesterone receptor (PR) expression, but positively associated with a higher pathologic complete response rate and improved overall  survival. In certain scenarios, TLS-positive tumors were associated with improved outcomes regardless of the presence of PDL-1 (programmed cell death ligand 1) expression or and TILs (tumor-infiltrating lymphocytes).
Research on the Shock Environment Characteristics of Marine Diesel Engine Based on a Large Floating Impact Platform
Authors: Zhang Yu , Li Jun , Zhang Chun hui , Chen Wei , Du Zhi peng , Li Xiao bin
Published: October 2023

To conduct a precise impact assessment of marine diesel engines, a 200t floating impact platform was utilized to simulate realistic testing conditions. The testing generated the acceleration time curve and the impact response spectrum for the diesel engine. According to the applicable standards, the spectral velocity was chosen as the evaluation index, and an evaluation of the longitudinal, transverse, and vertical impact environment of the diesel engine was conducted. The shock factor interpolation method was corrected using the confidence interval based on normal distribution, and the interpolated confidence interval of the shock factor was determined. The findings reveal that: The 200t-class floating shock platform is capable of providing a reliable shock environment for diesel engine tests. The shock wave serves as the primary external force during the experiment, and the impact of bubble pulsation can be disregarded when assessing using the floating shock platform. To more accurately describe the experimental shock intensity when presented with dispersed data, the confidence interval can be utilized, and the resulting prediction formula provides a higher level of impact safety. The obtained conclusions can serve as a reference for predicting the shock environment of large shipboard equipment using the shock platform.
Uneven Stiffness Coal Seam: A New Structural Factor Prone to Coal Bump Based on Stiffness Theory
Authors: Tang Tiewu , Deng Zhigang , Reng Weiguang , Zhao Shankun , Wang Yin , Zhao Yang , Li Wenxin
Published: October 2023

An analysis of the stiffness theory reveals that coal mass compression bumps occur only when both the failure criterion and the stiffness criterion are simultaneously satisfied. Then a new structural factor called uneven stiffness coal seam structure (USCS) is proposed, which consists of an uneven stiffness coal seam along with continuous roof and floor. The USCS serves the dual functions of pressure concentration and stiffness reduction. The former facilitates stress concentration from the low stiffness zone (LSZ) to the high stiffness zone (HSZ), thus raising the risk (rF) of failure. The latter reduces the stiffness of the surrounding rock of the HSZ, allowing the system to meet the stiffness criterion even with a hard roof, thereby reconciling the contradiction between the stiffness theory and engineering experience and raising the risk (rI) of instability. The HSZ of the USCS, including thinning zones, bifurcating areas, magmatic intrusion areas, and remnant pillar affected areas, is more susceptible to coal bump incidents than a conventional coal seam. Mechanical analysis and simple numerical simulations validate the pressure concentration and stiffness reduction functions of the USCS. The results demonstrate the following: 1) The normal stress of the HSZ positively correlates with ER, HR, KH, and SL, but negatively correlates with KL and SH; The stiffness of surrounding rock of the HSZ negatively correlates with HR, KH, SL, and SH, but positively correlates with ER and KL. 2) Failures within the HSZ of the USCS enables the roof strata to release bending deformation energy without undergoing fracturing. 3) The alignment between the HSZ of an existing USCS and the HSZ of an artificial USCS advancing with the working face intensifies stress concentration and reduces stiffness, thereby significantly increases the risk (rCB) of coal bump. By applying the stiffness theory and relevant USCS findings, new explanations can be provided for engineering phenomena such as the time-delayed coal bumps, the inefficient pressure relief in ultra thick coal seams, and the “microseism deficiency” observed prior to certain coal bumps.
Proposed Flood Mitigation using Backwater in Highly Developed Watersheds with Consideration of Crop Calendars and Spatial Resolution: Toward Consensus Formation
Authors: Ueno Yohei , Tebakari Taichi , Noda Keigo , Yoshimi Kazuhiro
Published: October 2023

In this study, we examine the possibility of proactive floodwater diversion to fields via backwater in numerical experiments using multiple elevation data products with different spatial resolutions and explore the optimal timing of water diversion from the perspective of crop calendars. First, a comparison of the elevation data products revealed that photogrammetric data can capture microtopography, such as the footpaths between rice paddies and drainage channels around a field. Numerical experiments using two elevation data products, 5mDEM and LP-derived approximately 5mDEM, revealed that floodwater diversion can reduce the peak to about 19.2 m3/s when using the 5mDEM and can reduce the peak to 16.0 m3/s when using the LP-derived approximately 5mDEM. Interviews with land improvement districts and a review of previous studies revealed that the ear-burst period is particularly vulnerable to flooding. Although the effect of flood peak reduction is reduced due to flooding of the field, it is possible that floodwater can be channeled during the ripening period in August and in late September and October when the ears have been harvested.
Analyzing Cultural Routes and their Role in Advancing Cultural Heritage Management within Tourism: A Literature Review
Authors: Iakovaki Eleftheria , Konstantakis Markos , Teneketzis Alexandros , Konstantakis George
Published: October 2023

This paper constitutes a comprehensive literature review within the field of cultural tourism, with a particular focus on the concept of the cultural route as a tourist-cultural product. Within this framework, the paper offers an overview of contemporary technological challenges, concerns, and limitations. It thoroughly explores cutting-edge technologies pertaining to the promotion of cultural heritage, both in general and in the specific context of realizing the concept of the cultural route, a tourist-cultural service enriched by the utilization of new media. Additionally, it extensively references the latest techniques and models for enhancing the user experience of digital cultural tourism products. Moreover, the paper showcases existing digital platforms and tools that encapsulate and emphasize the notion of cultural tourism. It assesses the respective methodologies, technologies, and techniques employed in each case, accompanied by illustrative instances of their applications.
Boosting Mitochondrial Biogenesis Diminishes Foam Cell Formation in the Post-Stroke Brain
Authors: Loppi Sanna H. , Tavera-Garcia Marco A. , Scholpa Natalie E. , Maiyo Boaz K. , Becktel Danielle A. , Morrison Helena W. , Schnellmann Rick G. , Doyle Kristian P.
Published: October 2023

Following ischemic stroke, the degradation of myelin and other cellular membranes surpasses the lipid-processing capabilities of resident microglia and infiltrating macrophages. This imbalance leads to foam cell formation in the infarct and areas of secondary neurodegeneration, instigating sustained inflammation and furthering neurological damage. Given that mitochondria are the primary sites of fatty acid metabolism, augmenting mitochondrial biogenesis (MB) may enhance lipid processing, curtailing foam cell formation and post-stroke chronic inflammation. Previous studies have shown that the pharmacological activation of the β2-adrenergic receptor (β2-AR) stimulates MB. Consequently, our study sought to discern the effects of intensified β2-AR signal-ing on MB, the processing of brain lipid debris, and neurological outcome using a mouse stroke model. To achieve this goal, aged mice were treated with formoterol, a long-acting β2-AR ago-nist, daily for two and eight weeks following stroke. Formoterol increased MB in the infarct re-gion, modified fatty acid metabolism, and reduced foam cell formation. However, it did not re-duce markers of post-stroke neurodegeneration or improve recovery. Our findings suggest that boosting MB in myeloid cells is one component of a therapeutic avenue for improving brain lipid debris processing after stroke.
Foliar Spray of Thiourea Enhances Salt Tolerance and Improves Biochemical Induced Physiological Responses in Gerbera jamesonii
Authors: Farooq Mohammed , Uzma Javeria , Dayakar Thatikayala , Pizzio Gastón Alfredo , Mamidala Praveen
Published: October 2023

Salinity is a significant abiotic stress factor for ornamental plants cultivated in greenhouses, as they are supplied with fertilizers over a long period of time. It causes drastic yield losses in com-mercially important ornamentals such as Gerbera jamesonii, whose cut flowers rank fifth in the global flower trade. In the current study, pretreatment of G. jamesonii plants (white and yellow flowering varieties) with optimum concentrations of thiourea (1.0 mM, 5.0 mM & 10.0 mM) in-duced plant salt-tolerance. Gerberas pretreated with thiourea (5.0 mM), when exposed to NaCl (200mM), showed no signs of plant stress or phenotypic abnormalities, as seen in gerberas ex-posed to NaCl without thiourea pretreatment. Moreover, thiourea application significantly pro-moted plant growth as evidenced by increases in fresh and dry leaf weight, relative water con-tent, total protein content, free proline content, and chlorophyll. A decrease in H2O2 and MDA content and an increase in antioxidant enzymes superoxide dismutase, catalase, ascorbate perox-idase, glutathione reductase, and peroxidase activity indicate minimal cellular damage in gerberas treated with thiourea. Thus, spraying leaves with thiourea (5.0 mM) could help gerbera plants overcome the deleterious effects of salt stress during repeated fertilization in nethouses. In addi-tion to alleviating salt stress, thiourea can also be used as a biofertilizer. This could also be ex-tended to other ornamental species to promote sustainable development of the floriculture indus-try.
Ag2O-Containing Biocidal Interpolyelectrolyte Complexes on Glass Surfaces – Adhesive Properties of the Coatings
Authors: Pigareva Vladislava A. , Paltsev Oleg S. , Marina Valeria I. , Lukianov Dmitrii A. , Moiseenko Andrei V. , Shchelkunov Nikita M. , Fedyanin Andrey A. , Sybachin Andrey V.
Published: October 2023

Biocidal coatings are of great interest to the healthcare system. In this work, the biocidal activity of coatings based on a complex biocide containing polymer and inorganic active antibacterial c omponents was studied. Silver oxide was distributed in a matrix of a positively charged interpolyelectrolyte complex (IPEC) of polydiallyldimethylammonium chloride (PDADMAC) and sodium polystyrene sulfonate (PSS) using ultrasonic dispersion, forming nanoparticles with an average size of 5-6 nm. The formed nanoparticles in the matrix are not subject to agglomeration and changes in morphology during storage. It was found that the inclusion of silver oxide in a positively charged IPEC allows a 4-fold increase in the effectiveness of the complex biocide against E. coli K12 in comparison with the biocidal effect of PDADMAC and IPEC. Polycation, IPEC and the IPEC/Ag2O ternary complex form coatings on the glass surface due to electrostatic adsorption. Adhesive and cohesive forces in the resulting coatings were studied on micron-scale coatings using dynamometry. It was found that the stability of the coating is determined primarily by adhesive interactions. At the macro level, it is not possible to reliably identify the role of IPEC formation on adhesion. On the other hand, the use of the optical tweezers method makes it possible to analyze macromolecules in submicron scale and to evaluate the multiple increase in adhesive forces when forming a coating from IPEC compared to coatings from PDADMAC. Thus, the application of ternary IPEC/Ag2O complexes makes it possible to obtain coatings with increased antibacterial action and improved adhesive characteristics.
A New Derivative of Retro-2 Displays Antiviral Activity against Respiratory Syncytial Virus
Authors: Le Rouzic Adrien , Fix Jenna , Vinck Robin , Kappler-Gratias Sandrine , Volmer Romain , Gallardo Franck , Eléouët Jean-François , Keck Mathilde , Cintrat Jean-Christophe , Barbier Julien , Gillet Daniel , Galloux Marie
Published: October 2023

Human respiratory syncytial virus (hRSV) is the most common cause of bronchiolitis and pneumonia in new-borns, with all children being infected before the age of two. Reinfections are very common throughout life, and can cause severe respiratory infections in the elderly and immunocompromised adults. Although vaccines and preventive antibodies have recently been licensed for use in specific subpopulations of patients, there is still no therapeutic treatment commonly available for these infections. Here, we investigated the potential antiviral activity of Retro-2.2, a derivative of the cellular retrograde transport inhibitor Retro-2, against hRSV. We show that Retro-2.2 inhibits hRSV replication in cell culture, and impairs the ability of hRSV to form syncytia. Our results suggest that Retro-2.2 treatment affects virus spread by disrupting the trafficking of the viral de novo synthetized F and G glycoproteins to the plasma membrane, leading to a defect in virion morphogenesis. Taken together, our data show that targeting intracellular transport may be an effective strategy against hRSV infection.