bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimalisasi Potensi Lokal dan Pemberdayaan Masyarakat Desa Cikembulan Untuk Meningkatkan Perekonomian dan Kesejahteraan
Authors: Burhanudin Burhanudin , Santoso Kurnia Akbar , Utami Rahmah Nur
Published: September 2023

Desa Cikembulan merupakan salah satu desa yang berada di Kecamatan Pekuncen, Kabupaten Banyumas, Provinsi Jawa tengah yang memiliki luas wilayah 196.868 ha dengan jumlah penduduk laki-laki 2.681 dan perempuan 2.579. Sebagian besar masyarakatnya bertani dan berwirausaha di bidang olahan kedelai dan melinjo. Desa Cikembulan memiliki potensi sumber daya alam di sektor pertanian yang melimpah, seperti padi, kedelai, buah salak dan melinjo. Ada lebih dari 300 unit kelompok pengolahan tahu skala mikro dan beberapa unit pengolahan emping melinjo. Meskipun desa ini merupakan salah satu sentra produksi tahu, pada kenyataannya, pengrajin tahu ini belum memanfaatkan sepenuhnya limbah padat tahu dengan baik. Selain itu, bahan baku produksi tahu diperoleh dari kedelai impor. Hal tersebut disebabkan karena belum adanya pembinaan dan pemberdayaan desa yang memanfaatkan potensi lokal untuk pengembangan ekonomi masyarakat, apalagi di masa pandemik COVID-19 seperti saat ini, kegiatan ekonomi produktif masyarakat menjadi lesu. Program PHP2D Tim Himabisi KIP-K Universitas Jenderal Soedirman ditujukan untuk mengoptimalkan potensi unggulan desa. Metode pelaksanaan program dilakukan dengan diseminasi dan praktik secara langsung. Pelaksanaan program mendapatkan dukungan penuh dari kepala desa, mitra kegiatan, dan melibatkan partisipasi masyarakat di setiap kegiatan yang dilaksanakan. Kegiatan yang telah dilakukan memberikan manfaat bagi masyarakat Desa Cikembulan secara umum dan mitra kegiatan secara khusus.
Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review
Authors: Shan Rudai
Published: September 2023

Building facade design plays an essential role in enhancing energy efficiency and reducing environmental impact in high-performance building design. Balancing the conflicts among various building facade design parameters to satisfy different optimization objectives constitutes a highly complex optimization problem. The rapidly increasing number of studies demonstrates a significant interest in implementing multi-objective optimization methods to tackle building facade optimization problems.

This study conducts a systematic review of optimization methods for building facade optimization (BFO). The optimization objectives and design variables are categorized based on their characteristics. The efficiency and effectiveness of optimization algorithms in addressing BFO problems are compared. Building optimization techniques and tools are showcased, along with their functions and limitations.

Key findings highlight the robust feasibility and effectiveness of optimization algorithms, methods, and techniques in resolving a diverse range of BFO challenges. The limitations, challenges, and future potential of these methods are summarized and proposed.
Effects of Dietary Metabolizable Energy Level on Production Performance of Geese: a Dose-Reponse Meta-Analysis
Authors: Wei Chunbo , Wang Shuo , Zhang Qijun , Zhao Yuming , Zhang Ying
Published: September 2023

To determine the impacts of metabolizable energy levels on the performance indices of geese and to forecast the ideal range of dietary metabolizable energy levels, this study was carried out. Literature on the effects of dietary metabolized energy level on the performance of geese was searched from CNKI, Wanfang, VIP, PubMed, Web of Science, and ScienceDirect databases from January 1, 2000, to December 31, 2022. A dose-response meta-analysis was performed by STATA (14.0), data were calculated by the robust error meta-regression model (REMR), and nonlinear dose-effect curves were plotted by the restricted cubic spline method (RCS). 29 papers were chosen from the 1,475 literatures that fit the criteria and were included in the dose-response meta-analysis. There were 6,079 geese included in the sample. The following production performance indices included average daily gain (ADG), average daily feed intake (ADFI), feed-to-gain ratio (F/G), dressed percentage, percentage of half-eviscerated yield, percentage of eviscerated yield, percentage of breast muscle, percentage of leg muscle and percentage of abdominal fat. The Egger test assessed publication bias, while sensitivity analysis was used to examine the heterogeneity. The verified results are consistent and reliable. The results indicated that for each group, the optimal dietary metabolizable energy level was about 13 to 13.5MJ/kg for medium-sized geese aged 0 to 4 weeks, 12 to 13MJ/kg for medium-sized geese aged above 5 weeks, 12.5 to 13MJ/kg for small-sized geese aged 0 to 4 weeks, and 13 to 13.5MJ/kg for mall-sized geese over 5 weeks of age. Future research should be conducted on related diets of large-sized geese, small-sized geese, and higher metabolizable energy levels.
Enhancing
Authors: Han Junhee , Ha Minchul , Lee Junteak , Kim Donghyun , Lee Dohyung
Published: September 2023

The production of anatase titanium dioxide particles plays a crucial role in the sulfate process used for manufacturing white pigment. A key factor in improving the quality of white pigments is enhancing the thermal mixing process within the precipitation tank. This improvement ensures the uniform dispersion of seed particles instead of their agglomeration, leading to the formation of particles with uniform sizes. The objective of this study was to enhance three-phase CFD simulations involving the mixing process of H₂SO₄ solution, steam as a gas phase, and solid seed particles. By analyzing the trajectories of the seed particles using CFD, the optimal injection position for the seed particles within the mixing process was determined. Subsequently, lab scale test and real field test were conducted based on the insights gained from the CFD simulations. The particle size distribution of two different types of seed inlets was analyzed and compared using Transmission Electron Microscopy (TEM). The findings of this study demonstrate that the developed multi-phase CFD simulation can be effectively utilized to enhance the precipitation process for the production of anatase titanium dioxide particles.
The Periodicity of Nuclear Magnetic Moments and Nucleon Binding Energies in Light Nuclides: Implications for Nuclear Structure
Authors: Walsh Ray
Published: September 2023

The atomic nucleus contains protons and neutrons surrounded by a structured electron cloud. Some combinations of protons and neutrons induce the nucleus to behave like a microscopic magnet, possessing a unique magnitude and orientation known as the nuclear magnetic moment (µ). When the numbers of protons and neutrons are both even then µ=0, but otherwise each nu-clide’s nuclear magnetic moment is unique. A second unique nuclear physical property relates to the nucleon binding energy (BE), which can be thought of as the energy between protons and neu-trons bound within the nucleus. The sequence of stable nuclides increases one nucleon at a time through 36Ar. The binding energy associated with the addition of each successive nucleon (∆BE) through this progression is unique. The hypothesis here is that the unique non-zero magnetic mo-ment and ∆ binding energy of each nuclide derive from its respective microscopic nuclear struc-ture, analogous to the way that the atomic physical properties of an element ultimately derive from its unique electron orbital structure. By extension, the identification of nuclear periodic pat-terns might eventually inform a theory of nuclear structure. The light, stable nuclides through 36Ar were arranged in ascending order according to atomic mass, and their nuclear magnetic mo-ments and binding energies were evaluated for periodic patterns. Fixed-period lengths from 4 through 18 nuclides per period were considered. These fixed periods, each of equal length, were stacked one upon the other and analyzed for vertical trends. The best evidence of periodicity in both µ and ∆BE converges precisely at the fixed 12-nuclide period. Implications for nuclear structure are discussed.
High Proportion of Distributed PV Reliability Planning Meth-od based on Big Data
Authors: FANG HUALIANG , Shang Lei , Dong Xuzhu , Tian Ye
Published: September 2023

With a high proportion of distributed photovoltaic and lower fossil energy integrated into the distribution network, it is very difficult to ensure the reliability of power supply. The distributed photovoltaic planning model based on big data is proposed. According to the impact stochastic photovoltaics and loads on reliability planning, the static and dynamic capacity-load ratios are proposed. The big data analysis model of distributed photovoltaic planning is established. The big data multi-scenario generation and reduction algorithm of stochastic distributed photovoltaic and load planning is studied, and a source-load big data scenario matching model is proposed. Ac-cording to the source load big data scenario, the dynamic capacity-load ratio of the distribution network is obtained. The static capacity-load ratio calculation method in distribution network planning is studied to ensure the reliability of power supply. Finally, the IEEE 33-bus system is used as an example. The results show that distributed photovoltaic planning based on big data and multi-scenario methods can improve photovoltaic utilization and power supply reliability.
Representasi Perempuan Pekerja Seks Komersial dalam Serial Kupu-Kupu Malam WeTv berdasarkan Perspektif Teori Pertukaran Sosial
Authors: Maulana - , Komariah Siti , Wulandari Puspita
Published: September 2023

Film berjudul Kupu-Kupu Malam yang diproduksi oleh MD Pictures menyajikan realitas kehidupan perempuan sebagai pekerja seks komersial. Tujuan penelitian ini yaitu untuk mengetahui bagaimana perempuan pekerja seks komersial direpresentasikan dalam film Kupu-Kupu Malam. Penelitian ini menggunakan model analisis semiotika Roland Barthles dengan menggunakan pendekatan teori pertukaran sosial. Metode yang digunakan adalah analisis scene yang memiliki simbol, makna, dan pesan yang diperankan tokoh Laura dalam merepresentasikan perempuan pekerja seks komersial. Hasil dari penelitian ini adalah realitas sosial perempuan yang terbentuk dari sisi pekerja seks sebagai komoditas dalam mesin ekonomi kapitalis yang rakus. Selain itu, scene dari film tersebut memberi gambaran jelas mengenai realita dan faktor-faktor pendorong seseorang melakukan pekerjaan tersebut yaitu faktor ekonomi, sehingga terbentuk asumsi bahwa kelompok marginal lebih mudah untuk digambarkan dan direpresentasikan dalam bentuk film, begitupun perempuan. Seperti tokoh Laura yang dimarginalisasikan lebih jauh dengan memfokuskan pada seksualitas.
Staged Repair of Simultaneous Bilateral Proximal Hamstring Rupture and 2 Year Outcome
Authors: Olowofela Bankole O. , Parrish Ryan , Zeppieri Giorgio , Farmer Kevin W. , Pazik Marissa , Roach Ryan P.
Published: September 2023

Case:

A 53-year-old man presented with simultaneous, bilateral proximal hamstring ruptures. He underwent open, staged surgical repair of the proximal hamstrings, followed by a modified course of rehabilitation. At 2-year follow-up, the patient reports excellent outcomes.

Conclusion:

Simultaneous, bilateral, 3-tendon rupture of the proximal hamstrings is a rare lower extremity injury. Surgical treatment of such injuries presents several unique challenges. Staged surgical repair is an effective treatment option.
INTERFERENSI BAHASA LAMAHOLOT DIALEK LEWOAWAN TERHADAP PENGGUNAAN BAHASA INDONESIA PADA MASYARAKAT DESA LEWOAWANG
Authors: Leba Bartoldus Sora
Published: September 2023

Tujuan dari penelitian ini adalah untuk menjelaskan jenis-jenis interferensi berdasarkan unsur-unsur kebahasaan yang terlibat sebagai akibat dari adanya pengaruh bahasa Lamaholot dialek Lewoawan (B1) terhadap penggunaan bahasa Indonesia (B2) oleh masyarakat Desa Lewoawan. Pengumpulan data dilakukan dengan menggunakan teknik simak bebas libat cakap dan catat. Data yang dikumpulkan berupa kata dan kalimat. Teknik yang digunakan dalam menganalisis data adalah reduksi, penyajian, dan penarikan kesimpulan. Berdasarkan hasil analisis ditemukan bahwa ada beberapa jenis interferensi yang disebabkan oleh masuknya unsur-unsur kebahasaan yang terlibat dari B1 ketika penutur menggunakan B2, yakni interferensi folonologis, dan interferensi sintaksis, dan interferensi leksikal. Interferensi fonologis mencakup perubahan pelafalan fonem /ǝ/ menjadi /ɛ/ dan perubahan bunyi diftong menjadi monoftong. Interferensi sintaksis terjadi karena bahasa Indonesia dituturkan menggunakan struktur kalimat bahasa Lamaholot dialek Lewoawan serta penggunaan partikel penegas. Partikel penegas yang sering dipakai dalam bertutur adalah partikel ka, to, ni dan tu. Partikel ka dipakai untuk menyatakan makna penegasan dalam kalimat interogatif, partikel to dipakai untuk menyatakan rasa ketidakpedulian terhadap apa yang disampaikan, sedangkan partikel ni dan tu menyatakan penegasan terhadap kalimat demonstratif yang mengacu pada tempat. Sedangkan interferensi morfologis mencakup penggunaan kata.
ANALISIS TINDAK TUTUR PADA HASIL TERJEMAHAN TRIBUNNEWS TERHADAP PIDATO MENLU RI RETNO LP MARSUDI DI FORUM PBB 2021
Authors: Pratiwi Herlina
Published: September 2023

Studi terhadap tindak tutur telah menjadi suatu pembahasan menarik di ranah linguistik oleh karena itu, peneliti mengangkat judul ini dari penelitian sebelumnya yang menguraikan hasil anal isis mengenai kualitas hasil terjemahan enam media massa terhadap pidato menteri luar negeri Retno L.P Marsudi di rapat PBB pada 19 Mei 2021, salah satu media massa yang menarik untuk diteliti adalah hasil terjemahan dari tibunnews yang dimana mendapatkan nilah kualitas terbaik sebesar 3.96 dari Barnwel’s TQA Indicator (Adamsyah, et al,. 2021). Dalam pada hal ini peneliti berniat untuk melakukan analisis tindak tutur sebagai sub-penelitian kecil yang akan membahas tindak tutur lokusi, ilokusi, perlokusi serta performatif. Peneliti menyadari bahwa substansi dari pidato menteri luar negeri Retno L.P Marsudi berisi banyak variasi tindak tutur karena secara umum mengutarakan serta mengecam keras tindakan yang dilakukan Israel terhadap Palestina, sebagai mana yang kita tahu tentunya akan ada banyak sekali kalimat yang membawa sebuah konteks serta menghasilkan dan memerintahkan adanya tindakan eksplisit dan mendesak. Penelitian ini bersifat deskriptif kualitatif dengan Teknik pengumpulan data yang telah dilakukan s endiri oleh peneliti dalam penelitian sebelumnya yang berjudul “ A Message Completion in Subtitle Translation of Indonesia Foreign Affair Minister’s Speech ” dengan cara mentranskripsikan video berita dari tribunnews menjadi sebuah data dalam bentuk tabel transkripsi. Instrumen dalam penelitian ini menggunakan metode thematic analysis. Hasil dari penelitian ini akan menunjukkan eksistensi dari tindak tutur lokusi, ilokusi, perlokusi serta tindak tutur performatif dalam hasil transkripsi pidato menteri luar ne geri Retno L.P Marsudi di rapat PBB 19 Mei 2021 yang telah di terjemahkan oleh media massa tribunnews.
Karakteristik Kawasan Wisata Pantai Taula'a Kecamatan Bilato Kabupaten Gorontalo Provinsi Gorontalo
Authors: Maharuju Samin , Lihawa Fitryane , Koem Syahrizal
Published: September 2023

Collaborative practices in the management of Taulaa Beach have not been maximized, including the minimal role of the community in beach maintenance and the lack of facilities and accessibility. This study aimed to assess the appropriateness of tourism in the Taula'a Beach area, located in the Bilato District of the Gorontalo Regency, inside the Gorontalo Province. The chosen research methodology entails the utilization of a survey-based approach. The process of data acquisition via direct observation and field measurements. The criteria that determine the acceptability of a tourism destination include water depth, beach type, beach breadth, water base material, current speed, beach slope, water brightness, land cover, presence of harmful biota, and availability of fresh water. The appropriateness of beach tourism is analyzed using the Tourism Suitability Index (IKW). The research findings yielded an IKW value of 77.4%. This value indicates that land suitability in the Taula'a Beach Tourism Area is included in the very suitable classification, specifically in the S1 category.
Strategi Penerapan Ice Breaking dalam Mengatasi Kebosanan Siswa pada Pembelajaran IPS di SMP N 26 Kabupaten Tebo
Authors: Asri Purnama Devi , Rianto Slamet , Yuherman
Published: September 2023

This research is motivated by the problem of student boredom in the learning process at school. The learning that is carried out is still dominated by listening to the teacher's explanation in class, taking notes or summarizing the material. Learning that only uses books will of course make students bored and not interested in following the ongoing lessons. This study aims to find out whether the application of ice breaking can overcome student boredom in the learning process at SMPN 26 Tebo District. The method used in this study is the experimental quantitative method. Sampling was done by random sampling technique. The population in this study was class VII with a sample of 50 people divided into 25 students in the control class and 25 students in the experimental class. The instruments used were tests and questionnaires. Data collection techniques carried out were tests, questionnaires, documentation. The data analysis technique used in this study is the Normality Test, Homogeneity Test, then proceed with hypothesis testing using the t-test. Based on the analysis of normality test data for all pretest and posttest experimental and control group data, it shows that the significant value of Kolmogorov-Smirnov and Shapiro-Wilk is > 0.05, which means that the data is normally distributed. .05 so that it can be concluded that the data is homogeneous. Then the results of data analysis hypothesis testing using the t-test with a significant value of 0.001. So it can be concluded that the application of ice breaking can overcome student boredom in social studies learning at SMPN 26 Tebo Regency with a significance value of 0.001 <0.05. Thus Ha is accepted.
Identifikasi Penggunaan Lahan Menggunakan Citra Resolusi Tinggi di Titik Nol Kawasan Ekonomi Khusus Mandalika
Authors: Zuhdiyah Matienatul Iemaaniah  , Nur Asri Shakila  , Mukminah  , Abdul Majid Azzuandi
Published: September 2023

The Mandalika Special Economic Zone (KEK) is located in Central Lombok, directly bordered by the Indian Ocean to the south. This area has been designated as an essential zone to support tourism. One of the landmarks in this area is the Mandalika Circuit, which has various impacts on different sectors, including land use. The current land use is part of the region's development and is aimed at supporting this special zone. The purpose of this research is to identify the land use in the area around the central point of the Mandalika Circuit. The study was conducted in one of the supporting villages within the Mandalika Special Economic Zone (KEK), namely Desa Kuta, which is situated at the central point of the circuit. The research methodology used spatial analysis with ArcGIS 10.5, utilizing high-resolution satellite images from Google Earth. The findings revealed 12 types of land use in the area: shrubland, terraced fields, plantations, the circuit itself, water bodies, circuit facilities, places for activities and settlements, roads, paddy fields, industries, open land, and grassland. The most extensive land use was shrubland, covering 57% of the total area of 2,366 hectares, while the lowest land use was industry occupying only 0,4 % of the total area.
Sustainable desalination showcasing the submerged UF membranes pre-treatment at the Adelaide Desalination Plant
Authors: Lazaredes Huw , Artal Javier , Gergawy Rimon
Published: September 2023

SA Water’s 300 ML/d Adelaide Desalination Plant (ADP) has been operating since 2011, and it is interesting to compare the design of its pre-treatment to recent SWRO projects that include Dissolved Air Flotation (DAF) within the process train. The ADP uses disc filter fine screens together with submerged membranes for the pre-treatment. This process/ pre-treatment train is not commonplace. However, the ADP demonstrates/achieves strong advantages versus a two-stage treatment process such as Dissolved Air Flotation (DAF) plus pressurised membrane filtration. This paper demonstrates that submerged membranes as pre-treatment are very relevant and are a sustainable pre-treatment solution for desalination plants built today. When compared to a process train that uses Dissolved Air Flotation (DAF) in the pre-treatment process, they can offer outstanding advantages in: installation costs simplicity of operation plant footprint energy use. It should be noted that DAF can still be a great pre-treatment for projects when the seawater characteristics so require. This paper also presents: - key sustainable/environmental design and operating benefits of the current submerged membrane system for desalination - a review of the original specification requirements for the ADP - a comparison of aspects of the pre-treatment at the ADP to typical recent desalination projects in the region - including plant footprint, chemical use and energy operating costs for similar projects - reduced control complexity and reduced risk of water hammer when submerged membrane systems are directly coupled to the RO system Since 2011, the supplier has significantly improved the features of submerged membranes by: - reducing the plant footprint by 50% - reducing aeration energy use by 36% - reducing membrane capital and replacement costs by at least 35% - increasing solids handling capability of the system
Rapid Inference of Reservoir Permeability from Inversion of Traveltime Data Under a Fast Marching Method-Based Deep Learning Framework
Authors: Li Chen , Yan Bicheng , Kou Rui , Gao Sunhua
Published: September 2023

The fast marching method (FMM) is a highly efficient numerical algorithm used to solve the Eikonal equation. It calculates traveltime from the source point to different spatial locations and provides a geometric description of the advancing front in anisotropic and heterogeneous media. As the Eikonal solution, the diffusive time of flight (DTOF) can be used to formulate an asymptotic approximation to the pressure diffusivity equation to describe transient flow behavior in subsurface porous media.

For the infinite-acting flow that occurs in porous media with smoothly varying heterogeneity, traveltime of the pressure front from the active production or injection well to the observation well can be directly estimated from the DTOF using the concept of radius (or depth) of investigation (ROI or DOI), which is defined as the moment when a maximum magnitude of the partial derivative of pressure to time occurs. Based on the ROI or DOI definition, we propose a deep neural network called the inversion neural network (INN) to inversely estimate heterogeneous reservoir permeability by inverting the traveltime data.

The INN is trained by traveltime data created for a large data set of distinct permeability fields from FMM simulations, which can be two orders of magnitude faster than conventional reservoir simulators. A convolutional neural network (CNN), the U-Net architecture, is incorporated into the INN, which establishes a nonlinear mapping between the heterogeneous permeability fields and the traveltime data collected at sparse observation wells. The loss function used for the INN is defined as the root mean square error (RMSE) between the logarithm of the predicted permeability and the logarithm of the true permeability.

The performance of the INN is tested on reservoir models with both smoothly varying heterogeneity and high-contrast media properties. For the 2D smoothly varying heterogeneous models with a grid size of 49×49, the permeability predicted by the INN has an average estimation error of 8.73% when a set of 7×7 uniformly distributed observation wells is used to collect “observational” traveltime data from the FMM simulation. For models with the same grid size and observation well density but with high-contrast media properties, the INN can still capture the general heterogeneity distribution, although with reduced prediction accuracy. Using a graphics processing unit (GPU) for training and prediction allows the entire inverse modeling process for a 2D 49×49 reservoir model to be completed within 7 minutes.
Numerical Analysis of Permeability Changes for Clogging and Microcracks Induced by the Invasion of Fracturing Fluid
Authors: Liu Bailong , Yang Deyi , Ito Takatoshi
Published: September 2023

Hydraulic fracturing can produce a main fracture and increase flow efficiency. It can also result in the invasion of fracturing fluid, which can produce clay swelling. The invasion can block the pores and throats in the porous media and damage matrix permeability, while it can also induce microcracks under certain conditions. This study developed a numerical model to evaluate the permeability change induced by the invasion. Both pore-throat clogging and microcracks are integrated into the model. The numerical model coupled a flow model based on the pore-scale network method (PNM), a solid model, and a permeability evaluation model. The solid model and permeability evaluation model are based on our microcrack performance model reported previously. We validated the flow model by analytical results and the coupled model by previous experiments of the soaking test. Simulation results show that the invasion can decrease the permeability for the clogging effect and increase the permeability for the microcrack generation. The generation of microcracks can greatly increase the permeability even with the clogging effect for clay swelling. Our simulation results indicated that rock properties can affect the effect of clogging and microcracks on permeability. This study provides an approach for the selection of fracturing fluid and the design of fracturing fluid flowback. This is crucial for the understanding of the invasion on permeability and can serve as a guide for fracturing operations.
Computational Fluid Dynamics-Discrete Element Method Modeling and Analysis of Proppant Transportation Inside Different Degrees of Inclined Tortuous Hydraulic Fractures
Authors: Li Jun
Published: September 2023

Optimal proppant transportation and distribution in inclined fractures play a critical role in maximizing the flow conductivity of complex fracture networks in unconventional gas/oil reservoirs. However, existing fracture models have ignored the effect of the tortuosity of inclined fractures, and more efforts are needed in this regard. To address this gap, a comprehensive integration of computational fluid dynamics and the discrete element method (CFD-DEM) is used in this study to numerically simulate the behavior of proppant transport in inclined fractures with tortuous shapes. The results reveal that, as the inclination angle varies, the proppant transport distance and packing height exhibit a nearly linear trend in straight fractures, while, in tortuous fractures, they follow a nonlinear pattern. Additionally, the proppant velocity, fluid velocity, and proppant force chain within inclined fractures with tortuous shapes exhibit significant disparities when compared with their straight counterparts.
Machine-Learned Surrogate Models for Efficient Oil Well Placement Under Operational Reservoir Constraints
Authors: Mousavi Seyed Mahdi , Bakhtiarimanesh Pouya , Enzmann Frieder , Kersten Michael , Sadeghnejad Saeid
Published: September 2023

Recent predictive analytics and soft computing methods enhanced the exploration of new hydrocarbon reserves. Machine learning (ML) has showed a promising role in oil and gas explorations in recent years. Among the applications, determining a proper location for injection and production wells along with their optimum operating conditions is a complex problem. This research aims to develop a unified process using surrogate proxy models to address this issue. Five robust ML models, (i) extreme gradient boosting (XGBoost), (ii) light gradient boosting machine (LightGBM), (iii) gradient boosting with categorical features support (CatBoost), (iv) support vector regression (SVR), and (v) multilayer perceptron (MLP), are implemented to create surrogate proxy models for estimating the net present value (NPV) of an oil reservoir. A systematic approach is used to find the best-fit hyperparameter inputs for these models. The objective of this method was to refine a broad set of hyperparameters through a random cross-validation search technique. This grid cross-validation method investigates the space narrowed in more accurate intervals. Four reservoir scenarios are considered: (i) production from a single well in a homogeneous reservoir, (ii) production from a single well in a heterogeneous channelized reservoir, (iii) production from multiple wells in a heterogeneous reservoir, and (iv) waterflooding into a heterogeneous reservoir. A reservoir simulator is implemented to create a data set of reservoir realizations with various input parameters (i.e., well location, number of wells‚ production-injection well distance, and interwell angles) in a broad range of operating conditions. The prediction of gradient boosting and MLP models showed a better fit to the simulated data with an R-squared (R2) above 95% in the first three scenarios and 75% in the fourth scenario. The results indicate that the implemented proxies are promising approaches to efficiently estimate the NPV of the reservoir models both during primary and secondary recovery scenarios.
Production and distribution planning, scheduling and routing problem in a yogurt supply chain under robust fuzzy uncertainty: a case study
Authors: javadi babak , Akbari Amir Hossein , Salimzadeh Zeinab , Yadegari Mahla
Published: September 2023

Regarding the gradual evolution of the food industry and all challenges it faces, like the high perishability of the product, managing the food industry supply chain has become an attractive issue for researchers and decision-makers. Over time the integration of uncertain aspects has continuously gained importance for managerial decision-making. Among these, the industry of yogurt products is one of the most challenging industries. In this study, we investigate the problem of production and distribution planning, scheduling, and routing in the yogurt industry supply chain network. The problem is a multi-product, single plant, multi-distribution center, multi-period, and multi-transportation track. A mixed-integer non- linear programming (MINLP) model is presented to minimize the total costs, including production, setup, overtime, unmet demand, and transportation. Besides, a robust fuzzy programming approach is applied to the problem under uncertainty. A meta-heuristic approach based on the Genetic algorithm was developed to solve the problem. In addition, the required modifications to make GA applicable are the problem mentioned. Tested experiments indicate that the proposed algorithm has an average gap of less than 0.4 percent from the optimal solution within a reasonable time. A real-world case is considered, and the proposed GA method compared to CPLEX and the results show the effectiveness of the model and the average objective function had approximately a 10% improvement.
Efficient Prediction of Residual Stress in Additive Manufacturing Based on Semi-Analytical Solution
Authors: Yang Maohong , Wu Guiyi , Li Xiangwei , Zhang Ruiyao , Zhang Shuyan , Wang Honghong
Published: September 2023

In order to improve the efficiency of residual stress simulation in laser powder feeding additive manufacturing, a finite element modelling method that only requires to solve the stress field is proposed and established in this paper. First, the analytical solution of the heat conduction equation is simplified, and a new temperature field model is developed, which can be directly input into the stress field model for calculation, thereby eliminating the calculation of the temperature field in the thermal-mechanical coupling simulation process and improving the simulation efficiency of residual stress in additive manufacturing. On this basis, the effectiveness of the method is verified by a single-pass single-layer cladding simulation. Meanwhile, the residual stress of single-pass multi-layer cladding is calculated and compared with the measured results, and the distribution characteristics of residual stress in additive manufacturing are studied. It is demonstrated that the result of the established model is closed to that of thermal-mechanical coupled finite element method. The established model can reflect the residual stress of laser powder feeding additive manufacturing process. Compared with the traditional thermal-mechanical coupled finite element method, the computational efficiency of the model established in this study is greatly improved.
Psychosocial Problems of the Elderly During COVID-19: A Systematic Review
Authors: Dangroo Ashfaq Ahmad , Singh Ravinder
Published: September 2023

Background: The COVID-19 pandemic was a global emergency that simultaneously impacted numerous nations and communities. The physical isolation of individuals, families or communities exposed to virus have created a further risk for psychosocial problems. Current statistics for the elderly gives a prelude to a new set of medical, social and economic problems that could arise if a timely initiative in this direction is not taken.
Objective:To study the psychosocial problems of elderly during Covid 19 and to suggest the intervention measures.
Methods: A number of steps were made to help the literature review's quality. Peer-reviewed research publications and reports from worldwide, national, and local sources, including the World Health Organization (WHO), were taken into account. These were examined using both qualitative and quantitative methods, with an emphasis on the psychosocial issues that older people face during Covid 19.
Results: The majority of elderly persons feel that their family members have abandoned them. Many psychological and psychosocial problems have been encountered in the aged like loss of memory, lack of confidence in one’s own ability and adjustment, feeling of being redundant, unwanted and useless, neglected and humiliated, isolated and lonely, reduced interest, insecurity about life, constant feeling of tension, worry and anxiety.
Conclusion: We can conclude that the development of institutions is necessary that provide quality service in terms of treatment and prevention of psychosocial complaints among the elderly.
HIV knowledge and stigma among college students in Southwest China
Authors: Pei Fang , Pei Rong
Published: September 2023

Objectives: This study aimed to assess the knowledge on human immunodeficiency virus (HIV) and factors related to HIV stigma among college students to enlighten them on the development of HIV prevention strategies and better understand the additional benefit of HIV risk reduction.
Methods: This study was an analytical, cross-sectional study conducted between October and December 2020 comprising 10 colleges in southwest China. Survey questions included demographic information, HIV knowledge, HIV stigma, and self-esteem. Descriptive and inferential statistics were applied to summarize the data. Logistic regression was used to analyze factors related to HIV knowledge and stigma.
Results: A total of 4,133 participants were recruited in this study. The knowledge level of respondents on HIV was 74.2%. Stigma was highly prevalent in the form of fear of casual transmission (79.8%), moral judgment (71.1%), personal stigma (72.2%), and perceived community stigma (71.8%). The findings demonstrated that a high level of relevant knowledge regarding HIV was consistently associated with lower stigma levels in four dimensions, and that seven variables—, namely, gender, ethnicity, grade, only-child or not, sexual orientation, awareness of the HIV/acquired immunodeficiency syndrome epidemic, and self-esteem—, played different roles in affecting various dimensions of HIV stigma.
Conclusion: The level of HIV knowledge was low whereas HIV-associated stigma was high among college students in southwest China. Addressing HIV in colleges should incorporate efforts for reducing stigma associated with HIV.
Proton-Boron Fusion: A Dark Horse in the Fusion Race Shows Yield Much Beyond Expectation
Authors: Zhao Yongtao , Wei Wenqing , Zhang Shizheng , Deng Zhigang , Qi Wei , Xu Hao , Liu Lirong , Zhang Jialin , Li Fangfang , Xu Xing , Hu Zhongmin , Chen Benzheng , Ma Bubo , Li Jianxing , Ren Xueguang , Xu Zhongfeng , Hoffmann Dieter H. H. , Fan Quanping , Wang Weiwu , Wang Shaoyi , Teng Jian , Cui Bo , Lu Feng , Yang Lei , Gu Yuqiu , Zhao Zongqing , Cheng Rui , Wang Zhao , Lei Yu , Xiao Guoqing , Zhao Hongwei , Liu Bing , Zhao Guanchao , Liu Minsheng , Xie Huasheng , Cao Leifeng , Ren Jieru , Zhou Weimin
Published: September 2023

A novel intense beam-driven scheme for high yield of the tri-alpha reaction 11B(p,α)2αwas investigated. We used a foam target made of cellulose triacetate (TAC, C9H16O8) doped with boron.It was then heated volumetrically by soft X-ray radiation from a laser heated hohlraum and turned into a homogenous, and long living plasma. We employed a picosecond laser pulse to generate a high-intensity energetic proton beam via the well-known Target Normal Sheath Acceleration (TNSA) mechanism. We observed up to 10^10/sr αparticles per laser shot. This constitutes presently the highest yield value normalized to the laser energy on target. The measured fusion yield per proton exceeds the classical expectation of beam-target reactions by up to four orders of magnitude under high proton intensities. This enhancement is attributed to the strong electric fields and nonequilibrium thermonuclear fusion reactions as a result of the new method. Our approach shows opportunities to pursue ignition of aneutronic fusion.
Expression profiling of stemness markers in testicular Germline Stem Cells from neonatal and adult Swiss albino mice during their transdifferentiation in vitro
Authors: Indu Sivankutty , Devi Anandavally N , Sahadevan Mahitha , Sengottaiyan Jeeva , Basu Asmita , K Shabith Raj , Kumar Pradeep G
Published: September 2023

Background. Spermatogonial stem cells (SSCs) were considered to be stem cells with limited potencies due to their existence in adult organisms. However, the production of spermatogonial stem cell colonies with broader differentiation capabilities in primary germ cell cultures from mice of select genetic backgrounds (C57BL6/Tg14, ddY, FVB and 129/Ola) indicated that SSCs from these strains were pluripotent.
Methods. We established primary cultures of SSCs from neonatal and adult Swiss 3T3 Albino mice. Stemness of SSC colonies were evaluated by performing real-time PCR and immunofluorescence analysis for a panel of chosen stemness markers. Differentiation potentials of SSCs were examined by attempting the generation of embryoid bodies and evaluating the expression of ectodermal, mesodermal and endodermal markers using immunofluorescence and real-time PCR analysis.
Results. Spermatogonial stem cells from neonatal and mature mice testis colonised in vitroand formed compact spermatogonial stem cell colonies in culture. Alkaline phosphatase positivity and the presence of stem cell marker Oct-4 indicated stemness in these colonies. The differentiation potential of these SSC colonies was demonstrated by their transformation into embryoid bodies upon withdrawal of growth factors from the culture medium. SSC colonies and embryoid bodies formed were evaluated using immunofluorescence and real-time PCR analysis. Embryoid body like structures derived from both neonatal and adult mouse testis were quite similar in terms of the expression of germ layer markers.
Conclusion. These results strongly suggest that SSC-derived EB-like structures could be used for further differentiation into cells of interest in cell-based therapeutics.
Anomalous large-scale collective motion in granular Brownian vibrators
Authors: Zhang Jie , Chen Yangrui
Published: September 2023

Using Brownian vibrators, we conducted a study on the structures and dynamics of quasi-2d granular materials with packing fractions φ ranging from 0.111 to 0.832. Our observations revealed a remarkable large-scale collective motion in hard granular disk systems, encompassing four distinct phases: granular fluid, collective fluid, poly-crystal, and crystal. The collective motion emerges at φ=0.317, coinciding with a peak in local density fluctuations. However, this collective motion ceased to exist at φ=0.713 when the system transitioned into a crystalline state.
While the poly-crystal and crystal phases exhibited similarities to equilibrium hard disks, the first two phases differed significantly from the equilibrium systems and previous experiments involving uniformly driven spheres. This disparity suggests that the collective motion arises from a competition controlled by volume fraction. Specifically, it involves an active force and an effective attractive interaction resulting from inelastic particle collisions. Remarkably, these findings align with recent theoretical research on the flocking motion of spherical active particles without alignment mechanisms.
Time to Regain Birthweight and Association with Neurodevelopmental Outcomes among Extremely Preterm Newborns
Authors: Valentine Gregory , Perez Krystle , Wood Thomas , Mayock Dennis , Law Janessa , Kolnik Sarah , Strobel Katie , Brandon Olivia , Comstock Bryan , Heagerty Patrick , Juul Sandra
Published: September 2023

Objective
Determine association between time to regain birthweight and 2-year neurodevelopment among extremely preterm (EP) newborns.
Study Design:
Secondary analysis of the Preterm Erythropoietin Neuroprotection Trial evaluating time to regain birthweight, time from birth to weight nadir, time from nadir to regain birthweight, and cumulative weight loss with 2-year corrected Bayley Scales of Infant and Toddler Development 3rd edition.
Results
Among n = 654 EP neonates, those with shorter nadir-to-regain had lower cognitive scores (2–4 days versus ≥ 8 days: -3.5, [CI -7.0, 0.0]; ≤1 day versus ≥ 8 days: -5.0, [CI -10.2, 0.0]) in fully adjusted stepwise forward regression modeling. Increasingly cumulative weight loss was associated with lower cognitive scores (-50 to <-23 percent-days: -4.0, [95% CI -7.6, -0.4]) and language scores (≤-50 percent-days: -5.7, [CI -9.8, -1.6]; -50 to <-23 percent-days: -6.1, [CI -10.2, -2.0]).
Conclusion
Faster nadir-to-regain and prolonged, severe weight loss are associated with adverse 2-year neurodevelopmental outcomes.
Trial Registration
PENUT Trial Registration: NCT01378273. https://clinicaltrials.gov/ct2/show/NCT01378273
Structure of the recombinant RNA polymerase from African Swine Fever Virus
Authors: Werner Finn , Pilotto Simona , Sýkora Michal , Cackett Gwenny , Dulson Christopher
Published: September 2023

African Swine Fever Virus (ASFV) is a Nucleo-Cytoplasmic Large DNA Virus which causes an incurable haemorrhagic fever in wild and domesticated pigs with a high impact on global food security. ASFV replicates in the cytoplasm of the infected cell and encodes its own transcription machinery that is independent of cellular factors. Little is known about how this system works at a molecular level and there are currently no approved vaccines nor antiviral drugs to treat the disease. Here, we present methods to produce recombinant ASFV RNA polymerase (RNAP), functional assays suitable to screen for inhibitors, and high-resolution cryo-Electron Microscopy structures of the viral RNAP in different conformational states. The viral RNAP bears a striking resemblance to RNAPII with bona fide homologs of nine of its twelve subunits. Key differences include the fusion of assembly platform subunits RPB3 and RPB11, and an unusual C-terminal domain of the stalk subunit vRPB7 that is related to the eukaryotic mRNA cap 2´-O-methyl transferase 1. Despite the structural conservation with eukaryotic and bacterial polymerases, the ASFV RNAP is resistant to the inhibitors rifampicin and alpha-amanitin, offering the grounds for the development of highly selective inhibitors. The cryo-EM structures and fully recombinant RNAP system together provide an important tool for the design, development, and screening of antiviral drugs in a low biosafety containment environment.
Safety and Efficacy of Suspension procedure compared with Nuss procedure in Pectus excavatum:A propensity score matching analysis
Authors: Zhang Hongyi , Pang yao , Wang kui
Published: September 2023

Introduction：Suspensions operation is a minimally invasive surgical treatment in pectus excavatum recently. Process of suspensions does not need to enter the pleural cavity, and thus avoid the heart, pericardium or lung tissue damage to the greatest degree. Through this study, we developed suspensions operation as an alternative option for the treatment of pectus excavatum.
Material and Methods: Of 104 pectus excavatum patients corrected with nuss procedure and suspensions between January 2016 and 2021. Propensity score matching (PSM) was performed for age, sex, Haller index involvement in a 1:1 ratio between the two group, the primary safety endpoint was the presence of surgical complications, and the primary efficacy endpoint was Haller index measured postoperatively in each group. Secondary endpoints were and hospital length of stay (LOS), duration of surgical procedure, and postoperative pain degree. Chi-square, Student t test or one-way analysis of variance (ANOVA) were used for comparison as appropriate.
Results: There are no differences between Nuss and Suspension procedures in major surgical complications. The efficacy endpoint was measured 18 months after the procedure, presenting a similar efficiency after surgery, Haller index :[Nuss 3.3（2.6-3.7） and Suspension（2.8-3.7）postoperatively, P = .14], measured by CT scan .There are significant differences between Nuss and Suspension procedures in minor surgical complications, patients undergo suspension surgery required less surgical time (35 ±11 versus 75±22 minutes, P < .01) and had shorter LOM (2±1.6 versus 6±2.2days, P < .01) and hospital LOS (5±2.2 versus 2±1.5 days, P < .01). Evaluating the postoperative pain grade of each group, fewer patients with suspension have 4 Grade of pian [Suspension 7 (21.8%) versus Nuss 17(53.1%), P < .05].
Conclusion: In this propensity-matched score analysis, patients with pectus excavatum, both surgical approaches have the same reliable surgical safety and outcome, and the suspension approach has the advantage of being simpler, less risky, and less painful for the patient after surgery, making suspension surgery an option for minimally invasive orthopedic surgery in these patients.
Formulation Development and Characterization of Polymeric Nanocarrier Encapsulating Phytoconstituents for The Treatment of Cancer
Authors: Yadav Agrima , Yadav Shikha
Published: September 2023

Herbal medications have emerged as a prominent focus within the pharmaceutical industry due to their well-established efficacy and limited occurrence of adverse effects. Moreover, in contrast to synthetic drugs, herbal medications exhibit a comparable level of interest in the production of nanoparticles. Polymeric nanoparticles have emerged as a crucial method for enhancing medication bioavailability and enabling targeted distribution to the desired location of action. Due to its medicinal properties, which include analgesic, anti-inflammatory, antibacterial, and antioxidant effects. Formulations were prepared using different ingredients using the solvent evaporation method. Polyvinyl alcohol, Polylactic acid was used as a biodegradable polymer, HPMC, Polyvinylpyrrolidone (PVP), and Sucrose. Sunitinib Malate is an active pharmaceutical ingredient that is a receptor tyrosine kinase inhibitor and chemotherapeutic drug. Physalis peruviana was extracted by the maceration method. The extract of the Physalis peruviana was encapsulated, Quercetin is the flavonoid that worked as a main constituent. The current study indicates that Physalis peruviana-loaded nanoparticles assist in the anti-cancer activity effectively.