bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proteomic patterns in glomerular research, a laser capture microdissection and liquid chromatography-tandem mass spectrometry approach
Authors: Bărar Andrada A. , Pralea Ioana E. , Berindan-Neagoe Ioana , Pirlog Radu , Nutu Andreea , Maslyennikov Yuriy , Potra Alina R. , Iuga Cristina A. , Kacso Ina M. 
Published: October 2023

Abstract

Introduction: Molecular techniques have the potential to shed light on glomerular diseases that conventional renal pathology may be unable to reveal. The aim of this study was to investigate whether proteomic patterns of glomeruli obtained from kidney biopsies can differentiate between minimal change disease (MCD), focal segmental glomerulosclerosis (FSGS) and control groups (CTR).

Methods: 18 formalin-fixed, paraffin-embedded (FFPE) renal biopsies comprising three groups of samples (CTR=3, MCD=6, FSGS=9) were subjected to label-free quantitative mass spectrometry. Glomeruli were excised from FFPE renal biopsies by laser capture microdissection (LCM) and, to increase both yield and protein identifications, single-pot solid-phase-enhanced sample preparation (SP3) digest method was applied. The samples were analyzed by mass spectrometry based shotgun proteomics.

Results: The proteome profiling resulted in the identification of a total of 723 proteins. Multivariate analysis provided several proteins important in the separation of the three groups. Pattern Hunter analysis revealed moderate and high correlation of proteins against CTR-FSGS-MCD or CTR-MCD-FSGS patterns. The most significant pathways involved were associated with nephrin family and cytoskeleton interactions, as well as laminin/extracellular matrix related proteins. Univariate analysis revealed 58 significant different proteins among the three groups. Signaling pathways of these proteins were also associated with nephrin family interactions and cytoskeleton organization.

Conclusions: This study demonstrates that mass spectrometry-based shotgun proteomic analysis of LCM glomeruli yields reproducible and quantitative data capable of discriminating between different disease conditions. Differentially expressed proteins provide insights into pathogenesis of glomerular disease.
Correlations of special AT-rich sequence binding protein 2 and chitinase-3-like protein-1 with sensitivity to paclitaxel chemotherapy for gastric cancer
Authors: Zhuang Hesi , Huang Limin , Yang Zhengqi 
Published: October 2023

Abstract

Background: Our objective was to examine the associations between special AT-rich sequence binding protein 2 (SATB2) and chitinase-3-like protein-1 (CHI3L1) and the responsiveness to paclitaxel treatment in individuals with gastric cancer.

Methods: From March 2018 to October 2020, our hospital collected gastric cancer samples along with adjacent gastric mucosal tissues located more than 5 cm away from the cancerous margin. These samples were obtained from 90 patients who underwent chemotherapy regimens containing paclitaxel. To assess the rates of positive expression of CHI3L1 and SATB2 in gastric cancer and adjacent tissues, the immunohistochemical streptavidin-peroxidase (SP) technique was utilized.

Results: The positive expression rate of CHI3L1 was higher in gastric cancer tissues compared to adjacent tissues, while the positive expression rate of SATB2 was lower (P<0.05). Risk factors that influenced the positive expression of CHI3L1 in gastric cancer tissues included the level of differentiation, tumor-node-metastasis (TNM) stage, and the presence of lymph node metastasis (OR>1, P<0.05). Additionally, the positive expression of SATB2 was also affected by TNM stage and lymph node metastasis, which were identified as risk factors (OR>1, P<0.05). In gastric cancer tissues, there was a negative correlation observed between the expressions of CHI3L1 and SATB2 (r<0, P<0.05). According to the analysis results of Kendall’s tau-b (K), it was found that the presence of CHI3L1 had an inverse relationship with the responsiveness to paclitaxel-based chemotherapy in gastric cancer (r=-0.498, P=0.000), while SATB2 exhibited a positive correlation with the sensitivity (r=0.513, P=0.000). During the 3-year follow-up after chemotherapy, the survival rate was 55.55% (50/90).

Conclusions: The findings indicate a strong correlation between SATB2 and CHI3L1 with the TNM stage, lymph node metastasis, response to paclitaxel-based chemotherapy, and the overall survival rate of individuals.
Off-Shore and On-Shore Macroalgae Cultivation and Wild Harvesting: an LCA-Based Evaluation from Baltic Sea Region Case Studies
Authors: Paoli Riccardo , Bjarnason Bjarni , Ilmjärv Tanel , Romagnoli Francesco 
Published: October 2023

Abstract
Seaweeds are organisms with unique characteristics. They contain a broad spectrum of micro and macro elements (i.e., minerals, carbohydrates, proteins, lipids, pigments, and vitamins). Furthermore, they have a very high growth rate and are present in large quantities and species in nature. Therefore, they represent an ideal feedstock for a biorefinery concept. Historically, macroalgae used in biorefineries have been harvested directly from the sea or the shores, i.e., off-shore technique. However, recent studies are analysing the possibility of creating on-shore cultivation facilities. This research aims to perform a Life Cycle Assessment (LCA) study that analyses and compares the environmental impact of two seaweed cultivation and wild harvesting techniques in the Baltic Sea Region conditions based on existing pre-commercial and commercial projects. Inventory data are collected directly from two macroalgae producers, one off-shore and one on-shore, integrated with literature, and then normalized to the selected functional unit, i.e., 1 ton of harvested fresh macroalgae. The results, implemented with SimaPro 9.4 software, determine which of the two techniques has the highest environmental impact and which are the most sensitive environmental indicators. Furthermore, the results underline the critical parameters for the two cultivations (i.e., fuel consumption and electricity), contributing to identifying environmental benchmarks for further optimization strategies. The sensitivity analysis included in the study aims to explore and highlight the effect of the variation of selected input parameters or assumptions to provide a consistent assessment of the uncertainty of the model outputs and the main findings in terms of environmental impacts.
Effect of depot medroxyprogesterone acetate on cardiometabolic risk factors among women of reproductive age in Rwanda: A prospective cohort study
Authors: Kantarama Evelyne , Uwizeye Dieudonne , Uwineza Annette , Muvunnyi Claude Mambo 
Published: October 2023

Objectives:
Depot medroxyprogesterone acetate (DMPA) injectable contraceptive is a widely used hormonal method that offers reversible and effective birth control for women worldwide. However, various studies have raised concerns regarding its potential association with increased cardiovascular disease risk, attributed to its influence on cardiometabolic risk factors. While previous studies have primarily focused on lipid profile, weight gain, blood pressure, and blood glucose, important aspects such as central obesity, glycated hemoglobin (HbA1C), and systemic inflammation have remained under-investigated. Thus, this study aimed to explore the influence of DMPA injectable contraceptives on lipid panel, HbA1C, visceral fat deposition, blood pressure, and inflammatory markers among women of childbearing age in Rwanda.

Materials and Methods:
The study was a prospective cohort and recruited an equal number of DMPA users (45) as the study group and users of nonhormonal (NH) contraceptives (45) as the control group. We recruited participants from two selected family planning centers in Kigali and collected data at baseline, 6 months, and 12 months. We measured the waist circumference, blood pressure, lipids profile (high-density lipoprotein cholesterol [HDL], low-density lipoprotein cholesterol [LDL], total cholesterol [TC], and triglycerides [TG]), HbA1C, and high-sensitivity C-reactive protein (hs-CRP). We run the Mann–Whitney to compare the median (MD) change between DMPA and NH users. Data were presented as MD (interquartile range), with a significance level of 5%.

Results:
After a follow-up of 12 months, DMPA users experienced a significant increase in waist circumference, TG, LDL, TC, hs-CRP, and HbA1C (P < 0.05), whereas they experienced a significant decrease in HDL than controls (P < 0.05). However, our data did not indicate a significant difference in blood pressure changes between DMPA and NH users (P > 0.05).

Conclusion:
The effect of DMPA injectable on cardiometabolic parameters was minimal in the first 6 months of use; however, it manifested statistically significant at 12 months of follow-up. It is recommended to initiate a follow-up with users at least 12 months of use and repeat every 6 months to check the status of cardiometabolic markers and intervene where necessary.
A block projection operator in the algebra of measurable operators
Authors: Bikchentaev A. M. 
Published: October 2023

Let τ be a faithful normal semifinite trace on a von Neumann algebra M. We investigate the block projection operator Pn (n ≥ 2) in the ∗-algebra S(M, τ ) of all τ -measurable operators. We show that A ≤ nPn(A) for any operator A ∈ S(M, τ )+. If an operator A ∈ S(M, τ )+ is invertible in S(M, τ ) then Pn(A) is invertible in S(M, τ ). Consider A = A∗ ∈ S(M, τ ). Then (i) if Pn(A) ≤ A (or if Pn(A) ≥ A) then Pn(A) = A; (ii) Pn(A) = A if and only if PkA = APk for all k = 1, . . . , n; (iii) if A, n(A) are projections then n(A) = A. We obtain 4 corollaries. We also refined and reinforced one example from the paper “A. Bikchentaev, F. Sukochev, Inequalities for the block projection operators, J. Funct. Anal. 280 (7), article 108851, 18 p. (2021)”.
Hydrologic Modeling System HEC-HMS Application for Direct Runoff Determination
Authors: Kencanawati Martheana , Iranata Data , Maulana Mahendra A. 
Published: October 2023

The process of identifying the peak discharge using the rational method was introduced in the 1880s. This method is a simple procedure for determining the peak discharge derived from surface runoff flow. Therefore, this research modified a simple hydrological formulation (rational method) based on fieldwork and compared a numerical rainfall model to the relationship model by using the simulation parameters, namely rainfall, infiltration, land use, and stream for hydrological conditions. The novelty of this research is a modification of the theoretical formula (rational method) through the use of fieldwork factors to modify the run-off coefficient. The first scene-up was overlay mapping between land and land use shape files, while the scene-up sampling point was upstream and downstream. This was continued with the estimation curve number until a specific composite curve number was initiated. The rate of infiltration was determined using the Horton method to distinguish the soil type, while the Water Stage Data Logger Starter Kit 13" HOBO KIT-S-U20-04 was used to measure the water level, HEC HMS, and rating curve analysis. The relationships between the fieldwork data using hydrology analysis and modeling were then compared. The results showed that the maximum rainfall calculated and analyzed from the box-and-whisker plot was 140 mm in the year 2019. In addition, the infiltration rate at the upstream and downstream areas was 90 mm/hour and 26.4 mm/hour, or 30% out of the upstream area value. Finally, the estimations of the runoff coefficient were 0.60, 0.45, and 0.0133, while the discharges for the maximum rainfall intensity were observed at 405.7 m3/s, 304.3 m3/s, and 25 m3/s. The simulation using Hydrological Modelling HEC HMS 4.11 computed results of 0.1 m3/s and observed flow of 0.3 m3/s. Doi: 10.28991/HEF-2023-04-02-02 Full Text: PDF
¿Lógica o lógicas? Algunas reflexiones en torno a la fundamentación y las aplicaciones de las lógicas no clásicas. Entrevista a la Dra. María José Frápolli
Authors: Conforti Claudio M. , Jasso Méndez Jesús , Alonso Enrique 
Published: October 2023

Entrevista realizada a una de las investigadoras españolas más importantes en el campo de la lógica, la filosofía de la lógica y la filosofía del lenguaje, con amplio impacto en la comunidad lógica iberoamericana y, en comunidades académicas anglosajonas: la Dra. María José Frápolli. Frápolli es profesora-investigadora de Lógica y Filosofía en la Universidad de Granada, España; adicionalmente, profesora honoraria del University College of London, UK y, presidenta de la Sociedad de Lógica, Metodología y Filosofía de la Ciencia en España.
La Dra. María José Frápolli nos comparte sus opiniones sobre los tres ejes temáticos que particularizan al presente Dossier, a partir de un instrumento de entrevista diseñado para obtener respuestas consistentes a las tres líneas de análisis que dan orden expositivo al tema principal Lógicas No-Clásicas: I. Fundamentación; II. Aplicaciones y III. Permanencia.
EVALUASI BERAT, DAYA DAN SUSUT TETAS TELUR AYAM KAMPUNG HIBRIDA BERDASARKAN KLASIFIKASI BOBOT TELUR TETAS
Authors: Azim Muhammad , Zulfikar Zulfikar , Ammar Muhammad 
Published: October 2023

Perbaikan mutu genetik dan peningkatan kualitas DOC dapat dilakukan melalui proses seleksi terhadap bobot telur tetas. Penelitian ini dilaksanakan pada bulan April hingga Juli tahun 2023 di Laboratorium Produksi Unggas Jurusan Peternakan Fakultas Pertanian Universitas Syiah Kuala, Darussalam. Banda Aceh. Rancangan yang digunakan adalah Rancangan Acak Lengkap (RAL). Perlakuan berdasarkan klasifikasi bobot telur yaitu: P0: Bobot Random, P1: ekstra besar (>60 g), P2: besar (56-60 g), P3: sedang (51-55 g), P4: kecil (46-50 g), P5: ekstra kecil (<46 g). Setiap perlakuan terdiri dari 4 ulangan, sehingga diperoleh 20 unit perlakuan dengan variabel yang diamati yaitu Daya Tetas, Berat Tetas dan Susut tetas. Hasil penelitian menunjukkan Persentase daya tetas yang paling tinggi terdapat pada perlakuan P3 (83.69%) berbeda sangat nyata (P<0,01) jika dibandingkan dengan perlakuan lainnya. Rataan berat tetas P1 (>60 gram) menunjukkan perbedaan yang signifikan sebesar 46.08 gram sedangkan rataan berat tetas terkecil pada perlakuan P5 (33.70 gram). Penyusutan telur tetas berada pada kisaran 10.84 – 15.10%, semakin besar bobot telur maka persentase susut semakin besar. Perlakuan P1 bobot telur mengalami penyusutan selama proses inkubasi berbeda sangat sigifikan (P<0.01) dibandingkan dengan perlakuan lainnya, penyusutan terkecil pada perlakuan P5 sebesar 10.84% tidak berbeda nyata (P>0.01) dengan perlakuan P3 dan P4.
ABSTRACT
Improving genetic quality and increasing DOC quality can be done through a selection process on hatching egg weight. This research was carried out from April to July 2023 at the Poultry Production Laboratory, Department of Animal Husbandry, Faculty of Agriculture, Syiah Kuala University, Darussalam. Banda Aceh. The design used was a Completely Randomized Design (CRD). Treatments based on egg weight classification are P0: Random Weight, P1: extra large (>60 g), P2: large (56-60 g), P3: medium (51-55 g), P4: small (46-50 g ), P5: extra small (<46 g). Each treatment consisted of 4 replications, so 20 treatment units were obtained with the observed variables: Hatchability, Hatching Weight, and Hatching Loss. The results showed that the highest percentage of hatchability was in the P3 treatment (83.69%), which was very significantly different (P<0.01) when compared to other treatments. The average hatching weight of P1 (>60 grams) showed a significant difference of 46.08 grams, while the average hatching weight was the smallest in the P5 treatment (33.70 grams). The shrinkage of hatching eggs is 10.84 – 15.10%. The more significant the egg weight, the greater the shrinkage percentage. In treatment P1, egg weight decreased during the incubation process, significantly different (P<0.01) compared to other treatments. The minor shrinkage in treatment P5 was 10.84%, not significantly different (P>0.01) from treatments P3 and P4.
Shallot Price Forecasting Models: Comparison among Various Techniques
Authors: Kasemset Chompoonoot , Phuruan Kanokrot , Opassuwan Takron 
Published: October 2023

Abstract
Shallot is one of several horticultural products exported from Thailand to various countries. Despite an increase in shallot prices over the years, farmers face challenges in price forecasting due to fluctuations and other relevant factors. While different forecasting techniques exist in the literature, there is no universal approach due to varying problems and datasets. This study focuses on predicting shallot prices in Northern Thailand from January 2014 to December 2020. Traditional and machine learning models, including ARIMA, Holt-Winters, LSTM, and ARIMA-LSTM hybrids, are proposed. The LSTM model considers temperature and rainfall as influencing factors. Evaluation metrics include RMSE, MAE, and MAPE. Results indicate that the ARIMA-LSTM hybrid model performs best, with RMSE, MAE, and MAPE values of 10.275 Baht, 8.512 Baht, and 13.618%, respectively. Implementing this hybrid model can provide shallot farmers with advanced price information for informed decision-making regarding cultivation expansion and production management.
How to replace the original material for the welded structure manufacturing
Authors: Ivković Djordje , Arsić Dušan , Cvetković Radica Prokić , Popović Olivera , Nikolić Ružica R. , Bokuvka Otakar 
Published: October 2023

Abstract
Due to difficult pandemic situation with COVID-19 decease, as well as due to current geopolitical circumstances in the world, we are facing the shortage of steel and therefore the impossibility of delivering the contracted products within the agreed deadlines. It is thus necessary to find suitable steel for replacement. The procedure for selecting one such steel for substituting the deficit steel 25CrMo4, for the purposes of producing a responsible welded assembly, is described in this paper. After the careful analysis, the steel 42CrMo4 was taken into consideration as a possible substitute material. Prior to applying the new selected steel, it was necessary to perform the following tests: analyze its chemical composition, determine its most important mechanical properties and evaluate its weldability. Then, the optimal welding and heat treatment technologies were determined, so that the quality of the responsible welded structure would meet all the requirements, as the structure made of originally used steel. For the new steel, all the mentioned and some additional tests were conducted and the appropriate welding technology was prescribed. To verify the selected technology, appropriate tests were conducted on the model welded samples, the results of which are presented in this paper. Based on the analysis of the obtained results, it was concluded that the 25CrMo4 steel can be replaced by the 42CrMo4 steel, however, with the mandatory application of appropriate supplementary measures.
Framework for Increasing Eco-efficiency in the Tofu Production Process: Circular Economy Approach
Authors: Hartini Sri , Azzahra Faradhina , Purwaningsih Ratna , Ramadan Bimastyaji Surya , Sari Diana Puspita 
Published: October 2023

Abstract
This research aims to design recommendations for improving the tofu production process in Sugihmanik Village. Over 30 tofu small medium enterprises (SMEs) generate solid and liquid waste, which pollutes the river. An eco-efficiency strategy was implemented and began by identifying the tofu production process. The life cycle assessment (LCA) method and the SimaPro software were used to calculate eco-cost and eco-efficiency levels. Based on the calculations, the eco-cost value per batch is USD 10.76. If 30 batches are produced daily, the eco-cost value in one of the tofu SMEs is USD 9.10. Tofu production has an eco-efficiency index (EEI) value of 0.12. This value shows that tofu products are only affordable but have yet to be sustainable. The researchers then recommend using biogas from wastewater treatment to replace rice husks and corncobs. This study also develops a circular economy framework in the tofu production system. The output is expected to suppress the discharge of water and solid waste to increase the EEI value of the tofu production process in the future.
Using neural networks to examine trending keywords in Inventory Control
Authors: Sadowski Adam , Sadowski Michał , Engelseth Per , Galar Zbigniew , Skowron-Grabowska Beata 
Published: October 2023

Abstract
Inventory control is one of the key areas of research in logistics. Using the SCOPUS database, we have processed 9,829 articles on inventory control using triangulation of statistical methods and machine learning. We have proven the usefulness of the proposed statistical method and Graph Attention Network (GAT) architecture for determining trend-setting keywords in inventory control research. We have demonstrated the changes in the research conducted between 1950 and 2021 by presenting the evolution of keywords in articles. A novelty of our research is the applied approach to bibliometric analysis using unsupervised deep learning. It allows to identify the keywords that determined the high citation rate of the article. The theoretical framework for the intellectual structure of research proposed in the studies on inventory control is general and can be applied to any area of knowledge.
Implementasi Cloud Computing Untuk Media Pembelajaran Interaktif Bahasa Inggris Berbasis Android
Authors: Nanda Asri , Hidayat Hari Toha , Mahlil Mahlil 
Published: October 2023

Bahasa Inggris merupakan bahasa internasional yang memiliki peran penting dalam menghubungkan berbagai masyarakat di seluruh dunia. Data dari survei EF EPI (English Proficiency Index) menunjukkan bahwa Indonesia memiliki skor kemampuan bahasa Inggris sebesar 52.12. Sebagai respons terhadap hal ini, sebuah platform media pembelajaran berbasis Android telah dikembangkan. Platform ini berkomunikasi dengan server cloud yang diatur melalui teknologi Docker. Aplikasi ini menjalani pengujian sistem menggunakan metode black box testing. Hasil dari pengujian ini menunjukkan bahwa aplikasi ini memiliki tingkat kelayakan sebesar 94% dari 50 pengguna yang berpartisipasi dalam pengujian. Selain itu, pengujian kepuasan aplikasi dengan melibatkan 50 responden menunjukkan bahwa 85% dari mereka merasa puas dengan aplikasi pembelajaran ini, sementara 15% menyatakan ketidakpuasan. Hasil dari implementasi performa cloud computing mendapatkan nilai rata-rata 8,38 permintaan per detik pada waktu respon 1 detik dengan 1/1000 permintaan. Ketika pengguna meningkat 10/1000 pengguna mendapatkan nilai rata-rata 34,19 permintaan per detik dengan waktu respon 1 detik. Cloud computing pada aplikasi berfungsi dengan baik dan aplikasi dapat diakses sampai 1000 pengguna.Kata kunci : Android, Media Pembelajaran, Cloud Computing, Blackbox Testing AbstractEnglish is an international language that plays a crucial role in connecting various societies around the world. Data from the EF EPI (English Proficiency Index) survey indicates that Indonesia has an English language proficiency score of 52.12. In response to this, an Android-based media learning platform has been developed. This platform communicates with a cloud server managed through Docker technology. The application undergoes system testing using the black box testing method. The results of this testing show that the application has a feasibility rate of 94% among the 50 users who participated in the testing. Furthermore, a satisfaction test involving 50 respondents revealed that 85% of them are satisfied with this learning application, while 15% expressed dissatisfaction. The performance implementation of cloud computing yielded an average of 8.38 requests per second with a 1-second response time at 1/1000 requests. When the user load increases to 10/1000 users, the average rate beccame 34.19 requests per second with a 1-second response time. Cloud computing in the application functions effectively, and the application can be accessed by up to 1000 users.Keywords : Android, Media Pembelajaran, Cloud Computing, Blackbox Testing