bluuebunny/crossref_metadata_2025 huggingface dataset:
Immune Microenvironment and PD-L1 Expression in Breast Cancer: A Review of Current Evidence and Prognostic Implications from Pathologist’s Perspective
Authors: Angelico Giuseppe , Broggi Giuseppe , Tinnirello Giordana , Puzzo Lidia , Vecchio Giada Maria , Salvatorelli Lucia , Memeo Lorenzo , Santoro Angela , Magro Gaetano , Caltabiano Rosario
Published: June 2023

With the rise of novel immunotherapies able to stimulate the antitumor immune response, increasing literature data concerning the immunogenicity of breast cancer have been published in recent years.
Numerous clinical studies have been conducted in order to identify novel biomarkers that could reflect the immunogenicity of BC and predict response to immunotherapy. In this regard, TILs have emerged as an important immunological biomarker related to the antitumor immune re-sponse in BC. TILs are more frequently observed in triple-negative breast cancer and HER2+ sub-types where increased TIL levels have been linked to better response to neoadjuvant chemotherapy and with improved survival.
PD-L1 is a type 1 transmembrane protein ligand expressed on T lymphocytes, B lymphocytes and antigen-presenting cells and is considered a key inhibitory checkpoint involved in cancer immune regulation. PD-L1 immunohistochemical expression in breast cancer is observed in about 10–30% of cases and is extremely variable based on tumor stage and molecular subtypes . In detail, TNBC shows the highest percentages of PD-L1 positivity, followed by HER2+ tumors. On the other hand, PD-L1 is rarely expressed (0-10% of cases) in hormone-receptor positive BC.
The prognostic role of PD-L1 expression in BC is still controversial since different immunohistochemistry (IHC) clones, cut-off points and scoring systems have been utilized across published studies.
In the present paper an extensive review on the current knowledge of immune landscape of BC is provided. In detail TILS and PD-L1 expression across different BC subtypes is discussed also providing a guide for their pathological assessment and reporting.
Construction of A Bis(benzene sulfonyl)imide Based Single-ion Polymer Artificial Layer for Steady Lithium Metal Anode
Authors: Wang Yujie , Zhao Mengmeng , Chen Yazhou , Bao Haifeng , Li Chen
Published: June 2023

Dendrite growth and parasitic reactions with liquid electrolyte are the two key factors that restrict the practical application of the lithium metal anode. Herein, a bis(benzene sulfonyl)imide based single-ion polymer artificial layer for lithium metal anode is successfully constructed, which is prepared via blending the as-prepared copolymer of lithiated 4, 4’-dicarboxyl bis(benzene sulfonyl)imide and 4,4’-diaminodiphenyl ether on the surface of lithium foil. This single-ion polymer artificial layer enables compact structure with unique continuous aggregated Li+ clusters, thus reducing the direct contact between lithium metal and electrolyte, and ensuring Li+ transport fast and homogeneous simultaneously. Based on which, the coulombic efficiency of the Li|Cu half-cell is effectively improved, and the cycle stability of the Li|Li symmetric cell can be prolonged from 160 h to 240 h. Surficial morphology and elemental valence analysis confirm that the bis(benzene sulfonyl)imide based single-ion polymer artificial layer effectively facilitates the Li+ uniform deposition and suppresses parasitic reactions between lithium metal anode and liquid electrolyte in the LFP|Li full-cell. This strategy provides a new perspective to achieve steady lithium metal anode, which can be a promising candidate in practical application.
The Effects of Emotional Intelligence on Teachers’ Job Satisfaction: A Scoping Review
Authors: Hulda Grace , Zhu Xudong
Published: June 2023

Recent trends in assessing teachers' psychological aspects have led to considering emotional intelligence (EI) as one of the main factors determining teachers' job satisfaction. The present study aims to explore the different effects of emotional intelligence on teachers' job satisfaction. This study used the Scoping review method and focused specifically on studies conducted from January 2014 to February 2023, and 21 studies met the inclusion criteria. Overall, the results indicated that emotional intelligence has both direct and indirect positive effects on teachers' job satisfaction. However, the results on the effects of various EI models on teachers' job satisfaction were inconsistent. The findings suggest that more research is needed to investigate the impact of the ability model of EI on teachers’ job satisfaction, as well as longitudinal studies to understand the long-term effects of this relationship. Finally, studies are also needed to determine whether demographic factors influence the effects of EI on teachers’ job satisfaction in different countries and contexts.
Wave Behavior Characteristics of Elastically Supported Fluid-Conveying Carbon Nanotubes under the Influence of Magnetic Fields
Authors: Deng Qian , Li Ming , Lv Liufei
Published: June 2023

In this work,the wave behaviour propagation of single-walled fluid conveying carbon nanotubes (SWCNT) under longitudinal magnetic fields and elastic foundations is studied, based on the nonlocal strain gradients theory(NSGT). With considertion of surface effect, the governing differential equation are obtained utilising Timoshenko beam theory and Hamilton's variational principle. The influence of small-scale parameters, fluid density, magnetic flux, surrounding elastic medium and surface effects on wave behaviour characteristics of carbon nanotubes are discussed in detail. The numerical results illustrated that with the magnetic flux increase，the phase velocities of the carbon nanotube will increase. When the fluid effects inside the carbon nanotube, the wave frequencies of the system reduces with increase in the non-local coefficient, while promotes with increase in the strain gradient coefficient. In addition, fluid density, surrounding elastic medium and surface effects have meaningful influence on the phase velocity of the system.
Path Planning for Perpendicular Parking of Large Articulated Vehicles Based on Qualitative Kinematics and Geometric Methods
Authors: Han Inhwan
Published: June 2023

Since large articulated vehicles have uncertainties in trailer articulation angle as well as dynamic complexity, it is not easy to accurately establish a reliable motion plan. In this paper, two geometric path plans constructed based on the empirical rules of driving experts are presented so that articulated vehicles can automatically perform perpendicular parking on a reverse path. By analyzing the empirical parking methods of professional drivers, these path plans were constructed by appropriately combining several standardized simple basic motions to facilitate implementation in real vehicles. In addition, path plans included appropriate complementary motions to effectively respond to uncertainties arising from articulation angles, etc. The complementary motions developed in this study are based on the results of qualitative analysis on the behavior of articulated vehicles. The usefulness of the proposed articulated vehicle parking method has been proven through hundreds of experimental tests using a 1:10 ratio model automated vehicle.
Pengaruh Kebijakan Restriksi Pemberian Hibah Bansos terhadap Politisasi Anggaran oleh Calon Incumbent pada Pilkada Kabupaten/Kota Tahun 2017
Authors:   Badan Pengawas Pemilihan Umum Republik Indonesia, Mansyur Abdul Rahman , Mansyur Abdul Rahman ,   Badan Pengawas Pemilihan Umum Republik Indonesia
Published: June 2023

Penelitian ini bertujuan untuk menganalisis sejauh mana kebijakan restriksi pemberian hibah dan bantuan sosial dapat mencegah adanya political budget cycles (PBC) di era pemilihan kepala daerah pada daerah-daerah yang memiliki calon incumbent, dengan mengambil kasus pelaksanaan Pilkada Serentak Tahun 2017 di 94 kabupaten/kota di Indonesia. Dengan menggunakan fixed effect regression atas data panel selama periode tahun 2014-2018, penelitian ini menemukan bahwa tidak ada perbedaan yang signifikan terkait pertumbuhan anggaran belanja hibah dan bantuan sosial pada tahun politik 2016- 2017 antara kabupaten/kota yang memiliki calon incumbent dan tidak. Terdapat indikasi bahwa kebijakan restriksi pemberian hibah dan bantuan sosial yang diberlakukan di tahun 2016 memiliki korelasi positif dengan tidak adanya political budget cycles (PBC) di daerah-daerah yang memiliki calon incumbent.
Janger Performance: The Rite of Unification and (Re)construction of Cultural Identity of Banyuwangi, East Java
Authors: Ilham Mochamad
Published: June 2023

Artikel ini membahas bagaimana masyarakat Banyuwangi, yang terdiri atas berbagai suku, menyatukan diri dan merekonstruksi identitas budaya mereka melalui seni pertunjukan Janger. Konstruksi identitas merupakan cara pandang atau makna identitas yang dikonstruksi oleh masyarakat. Mereka pernah mengalami keruntuhan identitas budaya ketika kalah total dalam perang besar melawan Belanda pada tahun 1772. Sebelum perang, mereka memiliki pemerintahan yang independen, tidak di bawah kendali pihak lain. Dalam beberapa dekade terakhir, ada upaya untuk merekonstruksi identitas budaya yang runtuh tersebut. Penelitian ini membutuhkan eksplorasi lapangan dengan memanfaatkan pendekatan etnografi. Pendekatan ini menggali data tentang berbagai aspek sosial budaya masyarakat Banyuwangi yang menjadi konteks seni pertunjukan Janger. Hasil penelitian menunjukkan bahwa Janger Banyuwangi menjadi momentum vital untuk membangun dan merekonstruksi budaya baru Banyuwangi yang dapat diterima semua lapisan masyarakat.
Kisah Kecemasan: Narasi Wabah Cacar dalam Cerpen “Variola” Karya Iksaka Banu
Authors: Bahtiar Ahmad , Sa'adah Nailis
Published: June 2023

Sebelum covid-19, bangsa Indonesia sudah berulang-ulang mengalami wabah penyakit. Salah satunya variola atau cacar. Variola masuk sejak masa kolonialisme Belanda dan banyak memakan korban. Gambaran penyakit dan upaya pemerintah kolonial dalam menangani wabah cacar tampak pada cerita pendek “Variola” karya Iksaka Banu. Sumber data penelitian ini cerpen “Variola” dalam kumpulan cerpen Teh dan Pengkhianat. Pemanfaatan objek material untuk melihat upaya pemerintah kolonial menangani wabah variola dan bagaimana masyarakat kolonial menempatkan virus tersebut, yang menunjukkan praktik orientalisme. Pembahasan menggunakan teori poskolonial yang mengkhususkan pada orientalisme yang dikemukan Edward Said. Penelitian ini menggunakan metode kualitatif dengan teknik deskriptif. Penelitian menemukan beragam upaya pemerintah kolonial dalam menangani wabah cacar. Penanganan wabah cacar memunculkan praktik-praktik orientalisme yang memperkuat superioritas Barat (pemerintah Kolonial) terhadap Timur (pribumi).
Ekspresi Kultural Masyarakat Mejayan Menghadapi Pandemi dalam Cerpen “Dongkrek” Karya Hendy Pratama: Perspektif Antropologi Sastra
Authors: Saputra Ardi Wina
Published: June 2023

Pandemi menuntut masyarakat kreatif dan adaptif agar dapat bertahan hidup. Sikap kreatif dan adaptif tampak pada seni tradisi Dongkrek kreasi masyarakat Mejayan, Kabupaten Madiun seabad silam. Dongkrek bertransformasi dari seni pertunjukan menjadi sastra modern, cerpen. Penelitian ini bertujuan menjelaskan ekspresi kultural masyarakat Mejayan ketika menghadapi pandemi dalam cerpen “Dongkrek” karya Hendy Pratama. Penelitian menggunakan metode deskriptif kualitatif dengan sumber data cerpen “Dongkrek” yang dimuat harian Suara Merdeka. Hasil penelitian menunjukkan bahwa cerpen “Dongkrek” menampakkan ekspresi kultural masyarakat Mejayan dalam menghadapi pandemi. Ekspresi kultural tersebut dapat dilihat melalui 4 aspek, yaitu (1) mata pencaharian, (2) sistem kepercayaan dan agama, (3) peralatan tradisional, dan (4) sistem kemasyarakatan.
Mantra Pertahanan Diri Perempuan Sunda di Dusun Pamagangan Kabupaten Pangandaran: Kajian Sastra Lisan Albert B. Lord
Authors: Andriani Yeni Yulia , Silvy C. Adelia
Published: June 2023

Artikel ini bertujuan mendeskripsikan performansi dan transmisi mantra pertahanan diri. Mantra pertahanan diri merupakan sastra lisan dalam bentuk mantra yang dimiliki perempuan Sunda di Dusun Pamagangan Desa Karangbenda Kecamatan Parigi Kabupaten Pangandaran. Pada saat ini, mantra pertahanan diri masih eksis digunakan perempuan Dusun Pamagangan dalam kehidupan sehari-hari. Penelitian menggunakan metode deskriptif. Sumber data penelitian adalah mantra pertahanan diri dan informasi-informasi yang diperoleh secara langsung dari informan yang merupakan pewaris sekaligus pelestari mantra dalam lingkaran kekerabatan. Penelitian ini menggunakan perspektif naturalistik dengan teori transmisi Parry-Lord. Teori transmisi digunakan untuk mengungkap penampilan dan pewarisan sastra lisan. Hasil penelitian ini mengungkap penampilan mantra di hadapan pewaris dan transmisi mantra yang meliputi syarat-syarat pewaris serta ritual pewarisan.
Etnopuitika Mantra Religi: Pemaknaan dan Fungsi
Authors: Siti Rahmawati  , Susi Darihastining  , Suwardi Endraswara
Published: June 2023

Penelitian bertujuan menafsir secara antropolinguistik dan fungsi mantra penangkal hujan. Acuan teori etnopuitik dengan metode kualitatif. Sumber data teks mantra dari dua informan. Data penelitian bentuk tafsiran antropolinguistik, pemaknaan kalimat mantra, dan fungsi mantra yang mengandung aspek religi. Hasil penelitian menunjukkan bahwa bentuk tafsiran antropolinguistik dan pemaknaan kalimat mantra mengandung aspek religi dan sosial. Tafsiran antropolinguistik melalui judul, pembuka, niat, sugesti, tujuan, dan penutup. Representasi tafsiran antropolinguistik unsur religi tampak pada kosakata dalam kalimat ketuhanan, keesaan Tuhan, dan penghambaan kepada Allah. Kalimat religi menambah rasa optimis dan sugesti dengan mendekatkan diri kepada Allah. Tafsiran antropolinguistik unsur sosial terdapat pada mantra penangkal hujan di Dusun Galuh Krajan Desa Watugaluh, sedangkan yang di Dusun Tebon Desa Kayangan tidak terdapat tafsiran antropolinguistik yang mengandung unsur sosial. Mantra yang menggunakan konsep properties, yaitu fungsi ideologi dua deskriptor, permohonan kepada Tuhan dan menundukkan roh halus.
Perempuan Baru: Pertahanan Melawan Opresi dalam Novel Astirin Mbalela Karya Suparta Brata
Authors: Anggraeni Wulan Cahya , Paramita Nadia
Published: June 2023

Kepatuhan dalam budaya patriarki merupakan kewajiban bagi perempuan. Kebebasan diri perempuan dianggap tabu dan tidak patut untuk dibicarakan. Novel Astirin Mbalela menceritakan tokoh Astirin sebagai perempuan Jawa yang melakukan resistensi terhadap opresi yang ia terima sebagai akibat menjadi perempuan bebas. Dalam masyarakat, perempuan diposisikan sebagai inferior sehingga sering menjadi sasaran opresi. Penelitian ini bertujuan mengeksplorasi eksistensi Astirin sebagai perempuan bebas. Kebebasan Astirin merupakan bentuk pembuktian dirinya sebagai individu merdeka. Penelitian ini menggunakan metode deskriptif interpretatif, dengan sumber data novel Astirin Mbalela dan data berupa peristiwa dengan konteksnya. Hasil penelitian menunjukkan adanya resistensi tokoh Astirin terhadap opresi yang diterima, baik berupa resistensi fisik maupun verbal. Astirin berusaha menunjukkan eksistensinya sebagai perempuan baru yang bebas melalui cara berpakaian serta kemandiriannya. Astirin berhasil membangun citra sebagai perempuan baru, yang mampu eksis dan menyuarakan kebebasannya.
PENGUATAN LITERASI DIGITAL DAN PEMBUATAN TOKO ONLINE (ONLINE SHOP) UNTUK PROMOSI PRODUK USAHA MIKRO KECIL DAN MENENGAH (UMKM)DI DESA TUK KABUPATEN CIREBON
Authors: Yunita Yunita , Kusnawati Yanti
Published: June 2023

Kecakapan dalam literasi digital merupakan kebutuhan pokok di era revolusi industry 4.0. Warga negara yang memiliki kecakapan literasi digital tidak hanya mampu mengoperasikan produk-produk digital, tetapi juga mampu memahami hak dan kewajiban dalam pemanfsaatan kemajuan teknologi informasi dan teknologi. Dengan demikian, pengabdian kepada masyarakat ini berfokus pada pelatihan literasi kepada para pegiat Usaha Mikro Kecil dan Menengah (UMKM) dan pembuatan Online Shop dengan tujuan agar para pegiat usaha ini dapat mempromosikan produk UMKM di Marketplace atau media social, dan dapat meningkatkan pemahaman mereka tentang literasi digital. Kegiatan pengabdian ini dilaksanakan di desa Tuk kecamatan Kedawung kabupaten Cirebon, yang merupakan salah satu sentra UMKM Emping Melinjo terbesar di Cirebon. Kegiatan pengabdian ini menggunakan metode pelatihan atau open education dengan didampingi oleh ahli/pakar. Pelatihan terdiri dari dua tahapan kegiatan, yaitu; pertama, pelatihan secara offline dengan materi literasi digital dan prospek digital marketing untuk UMKM. Kedua,Sharing session melalui Whatsapp group berkaitan dengan step by step pembuatan online shop di marketplace Lazada, Shopee dan Whatsapp Busines. Hasil kegiatan yang terasa secara langsung oleh para peserta adalah telah berdirinya online shop milik para pegiat UMKM di Lazada, Shopee dan media social lainnya.
THE EFFECTIVENESS OF USING COOPERATION READING AND COMPOSITION (CIRC) TOWARDS WRITING ACHIEVEMENT ACROSS STUDENTS’ SELF-EFFICACY AT SMAN 16 PEKANBARU
Authors: Azizah Wanda
Published: June 2023

This study proves the Effectiveness of Using Cooperation Reading and Composition (CIRC) on Writing Achievement in All Students' Self-Efficacy. Researchers conducted this research at SMAN 16 Pekanbaru. The purpose of this research, the researcher wants to prove, is there any influence from CIRC in arousing students' self-efficacy in writing. Which is the population for this study namely eleventh grade students, and for the sample the students in class XI MIPA-1 and XI IPS-2. And for the sampling technique the researcher used a purposive method. The type of research that researchers use is quasi-experimental design. For this study, researchers will measure students' self-efficacy using the CIRC method in learning to write. And the results show that there is no effect of this method in increasing students' self-efficacy in learning to write.
Intelligent Monitoring of Oil Production Assets
Authors: Horowitz G. , Farfán P. , De Larena M. , Rodríguez R. , Mari P. , Alonso P.
Published: June 2023

This paper describes the result of a pilot test of intelligent process monitoring software in a water injection plant in the El Trébol field of YPF. The tested application turns on automatically once an hour, downloads the data from the historian system, performs a diagnosis of the current situation of the plant and, if it detects relevant changes, gives a detailed diagnosis with the root cause of the detected anomaly.

The software was tested in a pilot test carried out on a water injection pump. For four months, all the messages sent by the software were recorded and the results were evaluated. During the period studied, a total of six alarms were recorded for that single pump. Of these alarms, five were correct and one of them was a false alarm. Of the five correct ones, three were events that had not previously been detected by the operators and, in that sense, were revealing.
Investigation of Carbonate Rock Thermal Conductivity as a Function of Temperature, Porosity and Fluid Saturation Using a Comparative Approach
Authors: Madani Seyed Ali , Fayazi Amir , Shor Roman , Kantzas Apostolos
Published: June 2023

Carbonate rocks are common formations in hydrocarbon reservoirs, and thermal recovery methods are often employed to enhance production. The success of a thermal project is highly dependent on comprehensive knowledge about the thermal behavior of any involved component. Consequently, the availability of reliable and accurate thermal property data, such as thermal conductivity, improves optimization and operation procedures in these types of operations. Measurement of thermal conductivity of carbonate rock has been a matter of extended research, yet different techniques result in different measurements and the understanding of the effect of elevated temperatures is limited. Prior researchers used transient approaches in the thermal conductivity measurements, which resulted in poor accuracy, despite having low measurement time. Moreover, the thermal conductivity of the saturated carbonate samples has not been investigated, as the existing research mainly focused on dry samples. In this study, first, thermal conductivity is measured of five different carbonate samples with a wide range of effective porosity (from 5 to more than 30 %) using a steady-state approach within a wide range of temperatures (from 40 to 150 ˚C). Then the same procedure was repeated for saturated samples to investigate the effect of saturation in different porosity and temperatures on the thermal conductivity trend and values. Results showed that in the dry samples, there is a downward trend for the thermal conductivity of all five samples as the temperature increased. For samples at similar temperatures, as the porosity of the sample increased, an increase was observed in the thermal conductivity values in dry cases, and for the porosity values above a certain value, it started to go down as we expected, and it was interpreted as the effect of mineralogy which is another crucial parameter beside the porosity in the ultimate thermal conductivity value of a porous medium. We measured effective porosity; however, the total porosity of the sample plays a much more important role in the heat transfer along the sample, and the relationship between these two porosities depends on the samples’ pore connectivity. Thermal conductivity measurement for the saturated cases carried out by a modification in the setup. Results showed a similar trend as the temperature was increased and the values were higher compared to corresponding dry sample which revealed the incapability of averaging methods as a generalized approach for saturated rock sample thermal conductivity prediction.
Effect of Phase Behavior and Mass Transfer Mechanisms on Crude Oil Recovery and CO2 Storage in a CO2 Injection Process in Colombian Reservoirs
Authors: Ariza-Quiroga C. , Aristizabal J. D. , Martinez Vertel J. J. , Cundar C. , Delgadillo C. , Trujillo-Portillo M. L. , Sandoval J. , Maya G. A. , Osorio R.
Published: June 2023

In this study, the potential of the CO2 injection process in CO2 solubility trapping and enhanced oil recovery was analyzed for immiscible and near miscible conditions in Colombian reservoirs.

A compositional conceptual simulation of the CO2 injection process was carried out for black oil and heavy crude oil. Since in the early stages of evaluating the EOR-CCUS process there is no experimental data on the interaction of live crude oil-CO2 and CO2-formation water, a methodology based on the characterization of the C7+ fraction through physical distillation curves (ASSAY III), compositional analysis and correlations (Sanchez Lemus 2015) was developed to generate a gas-liquid behavior predictive model with the experimental PVT data. Then, for the estimation of the minimum miscibility pressure, correlations, multiple contact calculations, and 1D simulation of the Slim-Tube test were used (Hoier 1997). These predictions were made with different binary interaction coefficients (Xu et al., 2019) between the pseudocomponents of crude oil and CO2 to establish miscible phase behavior scenarios or partial solubility, and thus evaluate different cases of recovery efficiency and CO2 solubility through the numerical compositional simulation, where CO2 can vaporize light oil components and/or condensate into the oil. To estimate the CO2 sequestration potential in the formation water, a formation water-CO2 thermodynamic model was built from the modified Peng-Robinson equation of state (EOS) and correlations (Harvey 1996; Nghiem et al. 2004; Søreide and Whitson 1992).

The results show a dependency of the CO2 recovery factor and storage on the type of process: immiscible, near miscible or miscible, and the type of hydrocarbon. The difference in the salinity of water, pressure and temperature conditions in the analyzed fields also had a considerable influence in the retention of CO2 in the formation water. These results are consistent with experimental observations reported in the literature (Abedini and Torabi 2014; Esene et al. 2019)

This study contributes a promising methodology to carry out feasibility studies of CO2 enhanced recovery processes and estimations of CO2 storage potential by solubility trapping when crude oil- CO2 and CO2-formation water experimental data are not available, but robust information is on hand for the characterization of the reservoir fluids. The management of uncertainty provides ranges of variables such as minimum miscibility pressure, condensation and vaporization mechanisms and solubility of CO2 in water. In this way, it is feasible to generate several scenarios to evaluate future CCUS projects in Colombian reservoirs and can be applied to fluids worldwide.
Failure Prediction Methodology for ESP and Operational Behavior
Authors: Cardona L. E. , Vivas Sanchez P. J. , Joya B.
Published: June 2023

One of the most active challenges in the production life cycle is the ability to predict failure to avoid loss of production and increase deferred production. This simple question affects many areas of operation such as maintenance, supply, production, and planning. The digital transformation enables us to disrupt the conventional mode of operation and create space for such solutions.

This project aims to improve operational decision making for the logistics of maintenance planning in critical wells with ESP lifting systems of an oil field in Colombia's Upper Magdalena Valley basin. This enhancement is provided by combining Machine Learning techniques for the prediction of downhole pump failures by various agents. This project's scope is predictive failures with Analytics insight. The periodicity of failures and the impact of each of these, measured in terms of deferred production, define the criticality of the wells.

The project was developed by conducting an analysis of the state of the art in this type of prediction both within and outside the industry. Following this, historical data is collected, the data to be analyzed is selected and prepared (including sample data balancing), and the data is treated with Python. Following that, the objective is defined based on the criticality of the potential failures, and machine learning algorithms are used to determine the variables with the greatest predictive potential, and then a classification algorithm is run to predict with enough time to support decision making (hours before the event). The outcome of these processes is validated, first with information from the training data and then with hidden data.

This paper discusses the advantages of predicting failures in ESP pumps with performance greater than 60%. This is accomplished in two steps, the first of which is determining which variables contribute the most to the prediction of background failures. This analysis produced insights for field decision-making, assisting those who monitor more than 50 variables. The second step took the selected variables and delivered to maintenance planners an algorithm capable of predicting pump failures with high accuracy in enough time to perform preventive maintenance, reducing production deferrals of high-potential wells.

This project helps to increase the use of these techniques in Latin America, as well as the development of future research in the field of predictive and prescriptive analytics and the expansion of periods that lead to better tactical decision making. This solution can be extended to other fields with similar failure characteristics, allowing it to contribute to production optimization in a short period.
An Experimental and Modeling Study of Polymer Free Delayed Acid and Emulsified Acid Systems in Carbonate Formations
Authors: Ali Mahmoud T. , Zakaria Ahmed
Published: June 2023

Carbonate matrix stimulation of tight and high temperature formations is challenging. The use of retarded acids is inevitable to allow deep acid penetration in those cases. Recently, polymer free delayed acid (PFDA) systems were introduced as a low friction acid system with superior performance. This study presents a comparison between the two delayed acids under linear flow (lab scale) and radial flow (field scale).

Linear core flow experiments were conducted using limestone and dolomite cores at temperatures from 200°F to 300°F. 15%, 20%, and 28% HCl based delayed acid systems were tested. 6 in. and 20 in. cores were used in those tests. The information from the linear experiments for both systems were utilized to build a model for those acid systems. An upscaling scheme based on changing the flow area and the wormholes number as a function of acid penetration was realized. The upscaled model was calibrated using radial experiments and in agreement with field observations.

The linear experiments have revealed that in limestone both acid systems provide PVBT values less than 1, even at injection rates as low as 0.5 cc/min. The 20 in. core experiments have shown that PFDA has better performance than emulsified acid at both low and high injection rates. The upscaled model has showed that injecting only 30 gal/ft. of PFDA or emulsified acid at low injection rate (0.1 gal/min.ft) can produce 9.3 ft. and 7.8 ft. wormholes, respectively.

PFDA with dolomite experiments have shown PVBT values less than 1 PVBT while emulsified acid with dolomite experiments have shown values in the range of 2 PVBT. The radial model has shown that injecting 30 gal/ft. of emulsified acid at 0.1 gal/min. ft. can generate ~4 ft. wormhole (-2.8 skin). On the other hand, injecting PFDA in dolomite formation at the same conditions can yield 9.3 ft. wormhole (-3.64 skin). This value agrees with the field results of treating tight dolomite formation with PFDA.

This paper presents an experimentally validated model for PFDA and emulsified acid. The upscaled model agrees with field treatments and allows comparison between the two systems at the well scale. PFDA outperform emulsified acid in treating carbonate formations.
Designing load-bearing bio-inspired materials for simultaneous static properties and dynamic damping: multi-objective optimization for micro-structure
Authors: Dong Bo , Jia Yun-Fei , Wang Wei
Published: June 2023

Biological load-bearing materials, like the nacre in shells, have a unique staggered structure that supports their superior mechanical properties. Engineers have been encouraged to imitate it to create load-bearing bio-inspired materials which have excellent properties not present in conventional composites. To create such materials with desirable mechanical properties, the optimum structural parameters combination must be selected. Moreover, the optimal design of bio-inspired composites needs to take into account the trade-offs between various mechanical properties. In this paper, multi-objective optimization models were developed using structural parameters as design variables and mechanical properties as optimization objectives, including stiffness, strength, toughness, and dynamic damping. Using the NSGA-II optimization algorithm, a set of optimal solutions were solved. Additionally, three different structures in natural nacre were introduced in order to utilize the better structure when design bio-inspired materials. The range of optimal solutions that obtained using results from previous research were examined and explained why this collection of optimal solution ranges is the best. Also, optimal solutions were compared with the structural features and mechanical properties of real nacre and artificial biomimetic composites to validate our models. Finally, the optimum design strategies can be obtained for nacre-like composites. Our research methodically proposes an optimization method for achieving load-bearing bio-inspired materials with excellent properties and creates a set of optimal solutions from which designers can select the one that best suits their preferences, allowing the fabricated materials to demonstrate preferred performance in every respect.
A multi-objective optimized fuzzy back-stepping controller for a nonlinear unmanned aerial vehicle
Authors: Mahmoodabadi Mohammad Javad , Babak Nima Rezaee
Published: June 2023

This paper introduces a multi-objective optimized fuzzy back-stepping (FBS) controller to stabilize an unmanned aerial vehicle (UAV) having nonlinear dynamics. At first, the back-stepping (BS) technique is carried out as the main approach to determine the control efforts of the quadcopter. Next, fuzzy systems are appropriately designed to tune the gains of the BS and to reach robustness. Afterwards, to simultaneously minimize the control efforts and system errors, the parameters of the fuzzy formulations are ascertained via multi-objective grey wolf optimization (MOGWO). This strategy is eventually applied on a nonlinear UAV model designed and fabricated in the department of mechanical engineering at Sirjan university of technology. The obtained results are illustrated to prove the effectiveness of the introduced strategy for stabilization of the considered UAV system.
A novel polygenic risk score model based on the protein interactions: An application on psoriasis
Authors: Antonatos Charalabos , Koskeridis Fotios , Ralliou Christiana M. , Vasilopoulos Yiannis , Evangelou Evangelos
Published: June 2023

Background
Polygenic Risk Scores (PRS) have been widely applied for predicting an individual’s genetic risk to a phenotype. Here, we develop a biologically-driven PRS in the UK BioBank cohort through validated protein interactions (PPI) and network construction for psoriasis, incorporating variants mapped to the interacting genes. We compare our PPI-PRS approach to conventional PRS calculations through liberal P-value thresholds.
Results
We show that our novel PPI-PRS approach provides similar results to conventional methods, despite the incorporation of a limited number of variants which have not reached genome-wide significance (GWS). Exclusion of confirmed risk loci for psoriasis resulted in highly similar associations compared to our primary model, indicating the contribution of the genetic variability mapped to non-GWS variants in PRS computations.
Conclusions
Our findings support the implementation of biologically-driven approaches in PRS calculation in psoriasis that can be expanded to other complex diseases highlighting their potential clinical utility in risk assessment and treatment management.
Machine Learning framework to predict sepsis disease using stacking ensemble algorithm
Authors: Lydia Laxmi , kumar vijaya , Anupama C S S
Published: June 2023

Today, sepsis affects several individuals in the Intensive Care Unit (ICU)because the death rate is increasing dramatically and it has become a huge concern in the area of healthcare. Due to the scarcity of resources, such persons require significant upkeep; this increases the expense of therapy by consuming a large number of resources. In early stages of sepsis, therapy is accessible; however, if treatment is not initiated at the appropriate time, sepsis progresses to an advanced stage, increasing deaths. Several investigations are conducted in order to establish early detection models for sepsis in patients. Machine Learning (ML) and Artificial Intelligence (AI) comprise several applications in the medical area, thanks to breakthroughs in these domains. In this paper, five recent ML approaches, including Decision Tree (DT),Support Vector Machine (SVM), Logistic Regression (LR),Nave Bayes (NB)and-Nearest Neighbour (KNN)is engaged to improve the prediction of model performance utilizing a suggested Stacking Ensemble Meta (SEM) algorithm. Then the suggested SEM combines the best of the two base model prediction accuracy to produce the final prediction. The model is trained using data from the 2019 Physio Net/ Computing in Cardiology Challenge. The model is fine-tuned to get the optimal hyper parameters for training. Accuracy, Recall, Precision, F1-score and ROC-AUC curve are few performance measures utilized to assess the model. The experimental findings showed that the suggested SEM classifier has 0.94 accuracy when compared to the ensemble voting classifier, which has 0.93 accuracy.
Integrated multi-omics and bioinformatic methods to reveal the mechanisms of sinomenine against diabetic nephropathy
Authors: li Yan , Wang Lei , Xu Bojun , Zhan Huakui
Published: June 2023

Objectives
Diabetic Nephropathy (DN) is a serious complication of diabetes, the diagnosis and treatment of DN is still limited. Sinomenine (SIN) is an active extract of herbal medicine and has been applied into the therapy of DN.
Methods
In the part of bioinformatic analyses, network pharmacology and molecular docking analyses were conducted to predict the important pathway of SIN treatment for DN. In-vivo study, DN rats were randomized to be treated with vehicle or SIN (20mg/kg or 40 mg/kg) daily by gavage for 8 weeks. Then, the pharmacological effect of SIN on DN and the potential mechanisms were also evaluated by 24h albuminuria, histopathological examination, transcriptomics, and metabolomics.
Results
Firstly, network pharmacology and molecular docking were performed to show that SIN might improve DN via AGEs/RAGE, IL-17, TNF pathways. Urine biochemical parameters showed that SIN treatment could significantly reduce 24h albuminuria of DN rats. Transcriptomics analysis found SIN could affect DN progression via inflammation and EMT pathways. Metabolic pathway analysis found SIN would mainly involve in arginine biosynthesis, linoleic acid metabolism, arachidonic acid metabolism, and glycerophospholipid metabolism to affect DN development.
Conclusions
We confirmed that SIN could inhibit the progression of DN via affecting multiple genes and metabolites related pathways.
High-speed two-color scanning volumetric laser-induced fluorescence
Authors: Silva Diega Tapia , Cooper Cole J. , Mandel Tracy L. , Khatri Shilpa , Kleckner Dustin
Published: June 2023

Many problems in fluid mechanics require single-shot 3D measurements of fluid flows, but are limited by available techniques. Here, we design and build a novel flexible high-speed two-color scanning volumetric laser-induced fluorescence (H2C-SVLIF) technique capable of simultaneous measurement of 3D velocity fields and a secondary tracer in the flow. This is paired with a custom, open source, software package, which allows for real time playback with correction of perspective defects while simultaneously overlaying arbitrary 3D data. The technique is demonstrated with two experiments: (1) the flow past a sphere, and (2) vortices embedded in laminar pipe flow. In the first experiment, two channel measurements are taken at a resolution of 512 × 512 × 512 with volume rates of 65.1 Hz. In the second experiment, a single color SVLIF system is integrated on a moving stage, providing imaging at 1280 × 304 × 256 with volume rates of 34.8 Hz. Although this second experiment is only single channel, it uses identical software and much of the same hardware to demonstrate the extraction of multiple information channels from single channel volumetric images.
Assessing Human Settlement Suitability in the Global South Using Modified Grey Relational Approaches and Remote Sensing Algorithms
Authors: Ghosh Bhaskar , Farouque Md. Zunaid , Gupta Sudipta Das , Haque Md. Nazmul
Published: June 2023

Rapid urbanization in Bangladesh affects people's way of life, so finding safe places to settle is essential. A spatial analysis of Land Surface Temperature (LST) for nine districts of Bangladesh between 2000 and 2020 using Landsat Data (L5 and L8) has been conducted to gain insight into the LST, the impact of urban heat islands, and the livability scenario. Using the Living Index, which takes into account important variables underlying land surface temperature variance and the Urban Heat Island Index (UHIindex), the study ranks districts based on how physically comfortable their residents report them to be. Images from both the Landsat 5 satellite (2000–2010), and the Landsat 8 satellite (2015–2020), were used to compile remote sensing indices updated every five years. Grey Relational Modeling indicated that two of the five indices, the Normalized Difference Built-up Index (NDBI) and the Normalized Multi-band Drought Index (NMDI), had the most decisive impact on LST. It implies that urbanization and other human activity will alter land usage, affecting the Earth's average surface temperature. In eight of the twenty-two districts, the average UHI index value was more significant than 0.5, with 0.70 being the worst result. Rangpur ranked lowest in the UHI index but first in the NDBI and NMDI, as measured by the Living Index. The UHIindex value was highest in Rajshahi. Dhaka and Chattogram are popular places for lower-class citizens to call home. Sustainable urban planning techniques and environmental regulations can benefit from this study's conclusions.
Burnout in junior doctors in palliative care - a qualitative study on culture, identity, and systems
Authors: Ong Eng-Koon , Divinaflor Claire Anne Ricafort , Yeoh Ting-Ting , Lim Kai-Chong Daniel , Sim Wen-Shan
Published: June 2023

Context: Burnout in palliative care practitioners (PCPs) is a significant problem. Junior doctors (JDs) who may be particularly vulnerable have largely been under-represented in existing literature. Objectives: The is an exploratory qualitative study that investigates the influence of the culture of palliative care (PC) and systemic policies on the risk of burnout for JDs at the National Cancer Centre Singapore (NCCS). The data presented will guide strategies that foster wellbeing for junior staff.. Methods: A total of 13 JDs who have completed at least one month of their rotation at the Division of Supportive and Palliative Care at NCCS between 2020 to 2022 were recruited. Individual semi-structured interviews each lasting about one hour were completed and thematic analysis was used to analyse the data collected. Results: A total of three themes and subthemes were elucidated. These include the nature of PC as described by the type of patients encountered and the working and learning environment, stressors as a junior doctor due to self-perceived professional identity and frequent rotations, and tensions between culture, service needs, and staff support programs. These aspects interact in a multi-dimensional manner and can both support and predispose JDs to burnout. Conclusion: The impact of working in PC as JDs on burnout risks is complex. The relationship between culture, identity and systemic policies needs to be further investigated to provide insight on how we may foster wellbeing as a community of practice.
Scholte Wave Field and Dispersion Curve in Porous Multi-layered Media Filled with Fluid
Authors: Wang Wenkai , Qian Zhongping , Liu Xiaobo , Tan Maojin , Zhang Jianlei , Chen Haifeng , Zhang Hua , Wang Yanjiao
Published: June 2023

The Scholte wave is a kind of solid surface wave that propagates on the seabed. To study the influences of pore-fluid parameters on the propagation characteristics of Scholte waves, the recursive solution and dispersion equation of Scholte wave is derived for porous multi-layered media filled with fluid based on Biot-Gassmann equation. A direct relationship equation between pore-fluid parameters, Scholte wave velocities and densities of pore fluid media is established. The recursive solution of Scholte wave propagating along the interface of porous multi-layered media filled with fluid is derived by using the boundary conditions of seismic wave field. The influences of pore fluid parameters on Scholte wave field and its dispersion characteristics are studied through numerical analysis. The numerical results show that the oil and gas-bearing pores could affect the dispersion characteristics and displacement stress of Scholte wave. Therefore, the effect of pore fluid should be fully considered for the further seabed Scholte wave rich in porous multi-layered media filled with fluid. In this paper, it provides a theoretical method for solving dispersion equations of Scholte wave propagating in coastal porous multi-layered media filled with fluid.
Fast, Furious and Dubious? MDPI and the Depth of Peer Review Reports
Authors: Maddi Abdelghani , Boukacem-Zeghmouri Chérifa
Published: June 2023

Peer review is a central component of scholarly communication as it brings trust and quality control for scientific knowledge. One of its goals is to improve the quality of manuscripts and prevent the publication of work resulting from dubious or misconduct practices. In a context marked by a massification of scientific production, the reign of Publish or Perish rule and the acceleration of research, journals are leaving less and less time to reviewers to produce their reports. It is therefore is crucial to study whether these regulations have an impact on the length of reviewer reports. Here, we address the example of MDPI, a Swiss Open Access publisher, depicted as a Grey Publisher and well known for its short deadlines, by analyzing the depth of its reviewer reports and its counterparts. For this, we used Publons data with 61,197 distinct publications reviewed by 86,628 reviewers. Our results show that, despite the short deadlines, when they accept to review a manuscript, reviewers assume their responsibility and do their job in the same way regardless of the publisher, and write on average the same number of words. Our results suggest that, even if MDPI's editorial practices may be questionable, as long as peer review is assured by researchers themselves, publications are evaluated similarly.
JEL-codes
D8; L82; D43; L13.
Determinants of the severity of chronic illness of Patients with COVID-19 among patients at Eka Kottebe General Hospital, Addis Ababa, Ethiopia, 2020/21
Authors: Etana Diriba , Wale Mamo Worku , Tesfaw Dejen
Published: June 2023

Background:Coronavirus is a zoonotic disease caused by coronavirus 2 (severe acute respiratory syndrome) which was discovered on December 31, 2019, in Wuhan, Hubei Province, China.Methodology:The study population was the patients of COVID-19 treated at Eka Kottebe General Hospital from March 2020 to December 2020. Descriptive statistics, chi-square test, and stereotype ordinal logistic regression model were used to analyze our data.Result:Out of the total (454) patients considered in the study, about 240 (52.86%), 60 (13.22%), 106 (23.35%), and 48 (10.57%) patients were in mild, moderate, severe, and critical stage, respectively. Independent variables like sex, presence of a symptom, fever, headache, chest pain, and shortness of breath, general weakness, cough, co-morbid, diabetes mullets, and hypertension had a significant association with the severity of illness at a 5% level of significance. The stereotype ordinal logistic regression result shows that sex, age, presence of symptoms, shortness of breath, general weakness, and co-morbidity had a significant effect on the severity of illness in patients with COVID-19.Conclusion:Being male, increasing in age, being symptomatic, having shortness of breath, having general weakness, and having any co-morbidity had led to more severe stage illness in patients.