bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-Objective Optimization with Transformation-Interaction-Rational Representation for Symbolic Regression
Authors: de Franca Fabricio Olivetti 
Published: November 2022

Abstract
The Transformation-Interaction-Rational is a representation for symbolic regression that limits the search space of function forms to well structured functions enabling the use of efficient numerical coefficient determination. The performance of using Genetic Programming with this representation was substantially better than with its predecessor (Interaction-Transformation) while ranking close to the state-of-the-art on a contemporary Symbolic Regression benchmark. In this same benchmark, we observed that the performance could be further improved with an additional selective pressure on smaller datasets for the expression size, thus creating smaller expressions and generalizing better. This was verified with a penalization term applied to the fitness measure together with heuristic rules to determine what is a small dataset. Possibly a better strategy is to adopt a multi-objective search to find a set of non-dominated solutions taking accuracy and model size in consideration. This will automatically stimulate the preference for simpler models whenever two equally accurate model exists, possibly the need for heuristic rules and penalty functions. In this paper, we extend the evolution library used by TIR to support multi-objective optimization, specifically the NSGA-II algorithm, and apply that to the same benchmark. The results show that the use of multi-objective optimization improves the results on a selection of the benchmarks increasing the overall rank of the algorithm to a second place in the benchmark. However, this strategy is still sensitive to overfitting on small data sets.
A Rare Case of Acute Abdomen Caused by Perforation of Jejunal Gastrointestinal Stromal Tumor (Gist): A Case Report and Literature Review
Authors: Mirovic Milos , Stojanovic Milica Dimitrijevic , Stankovic Vesna , Milosev Danijela , Milosevic Bojan , Cvetkovic Aleksandar , Spasic Marko , Vekic Berislav , Stojanovic Bojana S. , Petrovic Marko , Stojanovic Bojan 
Published: November 2022

Abstract
Background: Gastrointestinal stromal tumor (GIST) is the most common mesenchymal neoplasm of the gastrointestinal system and it accounts for between 1-3% of all gastrointestinal malignancies. GIST arises most commonly from the stomach in 60 – 70% of cases. The clinical presentation of acute abdomen, due to GIST perforation, was a particularly rare described complication of this disease. Our case report aimed to present a case of acute abdomen in an elderly female patient, due to jejunal GIST perforation.
Case presentation: A 76-year-old female patient presented with acute abdomen to the emergency surgical unit University Clinical Center of Kragujevac. Computed tomography (CT) scan with intravenous contrast showed pneumoperitoneum, the presence of a 75 x 35 mm irregular fluid collection in the left lower quadrant of the abdomen with air inclusions and signs of small intestine perforations. The patient underwent an emergency laparotomy. Intraoperative findings showed the acute inflammatory reaction of the peritoneum with free bowel contents in the abdominal cavity due to jejunal tumor perforation. Partial resection of the small intestine with tumor was performed followed by intestine anastomosis. Histopathological examination of a specimen revealed a completed resected jejunal gastrointestinal stromal tumor.
CONCLUSIONS: GIST arises from the small intestine in 25-30% of cases, and jejunum in 10% of cases. Perforation of GIST and acute diffuse peritoneal inflammation was rare complication of the disease. Emergency laparotomy and complete resection of tumors are essential.
An EOQ model for three deteriorating items with substitutable and mutual complementary price, stock, and time dependent demand
Authors: Mahlangu David , Adetunji Olufemi , Sebatjane Makoena 
Published: November 2022

Abstract
In this paper, a three-item EOQ model is proposed, where Product 1 is the main item and has a demand that is dependent on the following: its selling price and stock level, the selling price of the mutual complement (Product 2), selling price of its substitute (Product 3), and time. Product 2 has a demand that is dependent on its selling price, the selling price of its complement (Product 1) and time. Product 3 has a demand that is dependent on its selling price, the selling price of its substitute (Product 1) and time. A practical scenario for this model is in the perishable chicken feed supply chain between the supplier of medicines used in chicken feed production and a manufacturer of animal feed. Typical in this node of the supply chain the manufacturer of animal feed may source various medications from the same supplier. Due to certain nutritional specification of the feed formula, some of these medicines must be used together (complementarily), while some of these medicines can be used interchangeably (substitutes). Furthermore, stock availability of these medicines has potential to stimulate their prices, and consequently the demands. The mathematical model presented helps to determine optimal values of the selling prices of the three products and the cycle time that will maximise the total profit. The solution procedure was proposed, followed by numerical example Sensitivity analysis was conducted to assess how the model outputs respond to certain parameter changes. Result obtained from the study indicates that, certain parameter changes on the model have significant impacts on the cycle time, pricing, and the profitability of the inventory system.
Cisplatin resistance driver claspin is a target for immunotherapy in urothelial carcinoma
Authors: Yamada Shuhei , Miyata Haruka , Isono Makoto , Hori Kanta , Yanagawa Junko , Murai Aiko , Minowa Tomoyuki , Mizue Yuka , Sasaki Kenta , Murata Kenji , Tokita Serina , Nakatsugawa Munehide , Iwabuchi Sadahiro , Hashimoto Shinichi , Kubo Terufumi , Kanaseki Takayuki , Tsukahara Tomohide , Abe Takashige , Shinohara Nobuo , Hirohashi Yoshihiko , Torigoe Toshihiko 
Published: November 2022

Abstract

Bladder cancer is a major and fatal urological disease. Cisplatin is a key drug for the treatment of bladder cancer, especially in muscle-invasive cases. In most cases of bladder cancer, cisplatin is effective; however, resistance to cisplatin has a significant negative impact on prognosis. Thus, a treatment strategy for cisplatin-resistant bladder cancer is essential to improve the prognosis. In this study, we established a cisplatin-resistant (CR) bladder cancer cell line using a urothelial carcinoma cell line (UM-UC-3 cells). We screened for potential targets in CR cells and found that claspin (CLSPN) was overexpressed.CLSPNmRNA knockdown revealed that CLSPN had a role in cisplatin resistance in CR cells. In our previous study, we identified human leukocyte antigen (HLA)-A*02:01-restricted CLSPN peptide by HLA ligandome analysis. Thus, we generated a CLSPN peptide-specific cytotoxic T lymphocyte (CTL) clone that recognized CR cells at a higher level than wild-type UM-UC-3 cells. These findings indicate that CLSPN is a driver of cisplatin resistance and CLSPN peptide-specific immunotherapy may be effective for cisplatin-resistant cases.
Quantifying social interventions in combating COVID-19 via a symmetry-based model
Authors: Zhang Lei , She Guang-Hui , She Yu-Rong , Li Rong , She Zhen-Su 
Published: November 2022

Abstract
The COVID-19 pandemic reveals new features of substantial changes in rates of infection, cure, and death, resulting from social intervention, which significantly challenges traditional SEIR-type models. This paper develops a symmetry-based model for quantifying social interventions in combating COVID-19. We find three key order parameters, separating degree (S) for susceptible populations, healing degree (H) for mild cases, and rescuing degree (R) for server cases, all display logistic dynamics, which establish a novel dynamic model named SHR. Furthermore, we discover two evolutionary patterns of healing degree with a universal power law in 23 areas in the first wave. Remarkably, the model yields a quantitative evaluation of the ‘dynamic back-to-zero’ policy in the third wave in Beijing by 12 datasets of different sizes. In conclusion, the SHR model constitutes a rational basis to understand this complex epidemic, and for policymakers to carry out sustainable anti-epidemic measures to minimize its impact.
A brief story of spatial modeling at southwestern Atlantic Ocean
Authors: Rodrigues Lucas 
Published: November 2022

Abstract
Spatial modeling of marine species is widely developed for biogeography, ecology and management purposes. However, hundreds of articles have been concentrated in the northern hemisphere marine environments and only a few dozens for the southern hemisphere. Through a bibliometric analysis I identified strong and weak aspects of studies approaching spatial modeling for species inhabiting the southwestern South Atlantic Ocean – SWAO. Studies on marine mammals and seabirds, based on presence-only and scenopoetic input data and through maximum entropy (MaxEnt) and generalized linear/additive models (GLM/GAM) are the highlights. A tiny quantity of articles have investigated the regional impacts of climate changes over species distribution (e.g., species displacement) or added alternatives for the management of fishing activities and its impacts on non-target species (e.g. incidental catch). I listed the articles used as baseline, discuss the aspects of my findings and claim to scientific community the need to strengthen the spatial modeling routine over SWAO.
Thermodynamic Analysis of Climate Change
Authors: Swedan Nabil 
Published: November 2022

Abstract
The climate change assessment of the Intergovernmental Panel on Climate change is based on a radiative forcing methodology and thermodynamic analysis of the climate does not appear to be utilized. Although equivalent to the radiative model, the thermodynamic model captures details of thermodynamic interactions among the earth’s subsystems. Carbon dioxide emission returns the net chemical energy exchanged with the climate system to the surface of the earth as heat. The heat is equal to the sum of the heat produced by fossil fuels and deforestation minus the heat of surface greening. Accordingly, trends of climate parameters are calculated. Nearly 51.40% of carbon dioxide production has been sequestered by green matter, and surface greening is approximately 3.0% per decade. Through 2020, the heat removed by surface greening has approached 12.84% of the total heat. Deforestation on the other hand has contributed nearly 22.85% of the total heat of carbon conversion to carbon dioxide. The increase in marine and average land surface air temperatures are 0.80 °C and 1.39 °C respectively. Present annual sea level rise is nearly 3.35 mm, and the calculated reductions in the temperature and geopotential height of the lower stratosphere are about -0.66 °C and -67.24 m per decade respectively. Unlike natural sequestration of carbon dioxide, artificial sequestration is not a photosynthetic heat sink process and does not appear to be a viable methodology for mitigating climate change.
Rhizosphere functioning and rhizo-microbiome of two contrasting genotypes of rice under drought-induced conditions
Authors: Nunna Sai Aparna Devi , Balachandar Dananjeyan 
Published: November 2022

Abstract
Background and aim

Rhizosphere function is the key determinant of crop growth and fitness under moisture-stress conditions. Human-centered breeding adversely affects microbiome recruitment of crops. Hence, during drought, wild types and landraces adapt to stress, while modern cultivars and hybrids fail to do so and are susceptible to drought. Understanding the rhizosphere difference between landraces and cultivars will help to improve microbiome-mediated drought mitigation.

Methods

We compared rhizospheres of rice landrace, Norungan, and high-yielding cultivar, Co51, grown under normal moisture and drought-induced conditions using soil biochemical and 16S rRNA gene sequencing approach.

Results

Soil carbon pools, enzymes, and respiration were adversely affected due to drought in both genotypes' rhizospheres. However, Norungan rhizosphere accounted for less harm to the soil attributes than Co51. Reduction in soil organic carbon (3.94%), microbial biomass carbon (14.26%), labile carbon (1.94%), dehydrogenase (10.1%), urease (21.27%), phosphatase (9.61%), and respiration rate (15.02%) was accounted in Co51 than Norungan, during drought. Alpha diversity of bacterial communities in rice's rhizosphere was significantly lower than in bulk soil, and drought further reduced the diversity in both genotypes. Moisture-stress reduced the abundance of Firmicutes (180%) and Bacteroidetes (57%) in Norungan's rhizosphere, while, Acidobacteria (51%), Actinobacteria (54%), Chlolorflexi (41%), and Proteobacteria (34%) got increased. On the other hand, Co51 rhizosphere acquired an enhanced abundance of Firmicutes (79%) and Bacteriodetes (170%) and lessened abundance of Acidobacteria (15%) and Proteobacteria (31%) due to drought.

Conclusion

These results suggest that landrace Norungan under moisture-stress conditions recruits less-diversified, specific groups of microorganisms to augment rhizosphere functioning.
A literature review of methods for assessment of reproducibility in science
Authors: Nordling Torbjörn , Peralta Tomas Melo 
Published: November 2022

Abstract

Introduction: In response to the US Congress petition, the National Academies of Sci- ences, Engineering, and Medicine investigated the status of reproducibility and replicability in science. A piece of work is reproducible if the same results can be obtained while fol- lowing the methods under the same conditions and using the same data. Unavailable data, missing code, and unclear or incomplete method descriptions are common reasons for failure to reproduce results.
Objectives: The motivation behind this review is to investigate the current methods for reproducibility assessment, and analyze their strengths and weaknesses so that we can determine where there is room for improvement.
Methods: We followed the PRISMA 2020 standard and conducted a literature review to find the current methods to assess the reproducibility of scientific articles. We made use of three databases for our search: Web of Science, Scopus, and Engineering Village. Our criteria to find relevant articles was to look for methods, algorithms, or techniques to evaluate, assess, or predict reproducibility in science. We discarded methods that were specific to a single study, or that could not be adapted to scientific articles in general.
Results: We found ten articles describing methods to evaluate reproducibility, and classified them as either a prediction market, a survey, a machine learning algorithm, or a numerical method. A prediction market requires participants to bet on the reproducibility of a study. The surveys are simple and straightforward, but their performance has not been assessed rigorously. Two types of machine learning methods have been applied: handpicked features and natural language processing.
Conclusion: While the machine learning methods are promising because they can be scaled to reduce time and cost for researchers, none of the models reviewed achieved an accuracy above 75%. Given the prominence of transformer models for state-of-the-art NLP tasks, we believe a transformer model can achieve better accuracy.
Productivity Spillovers from Foreign Direct Investment to Ethiopian Manufacturing Sector
Authors: Wajebo Temesgen Woldamanuel 
Published: November 2022

Abstract
The study investigates productivity spillover from foreign direct investment to domestic firms in the Ethiopian manufacturing industries. The System Generalized Method of Moments (SYS-GMM) estimator using panel data of manufacturing firms for the years 2011 to 2016 with 12006 observations grouped under 102 industries was employed. The results show a coexistence of both negative and positive productivity spillover effects from FDI to domestic firms at moderate level of absorptive capacity. Specifically, foreign presence in the industries contributed a positive and significant horizontal and backward productivity spillover effect to domestic firms on an average level. The horizontal productivity spillover is transmitted to local firms through demonstration and competition effects at a moderate level. Likewise, vertical productivity spillover occurred through the channel of sales of intermediate goods and services to foreign firms. We have observed that the technology gap is a critical factor among those factors that determine the productivity spillover occurrence. Finally, policy measures aimed at minimizing the technology gap between foreign and domestic firms to maximize the productivity spillover effect are suggested. Since the result shows that the spillover effects in all firms are not equal, prioritization as per their promise is recommendable in an FDI attracting framework.
Improvement of the method of manufacturing semi-finished products of a high degree of readiness from Jerusalem artichoke tubers
Authors: Zahorulko Andrii , Zagorulko Aleksey , Оnishchenko Vyacheslav , Shydakova-Kameniuka Olena , Dmytrevskyi Dmytro , Chuiko Lyudmila 
Published: November 2022

A method has been improved for the production of semi-finished products of a high degree of readiness from Jerusalem artichoke tubers, characterized by a significant natural content of functional and physiological ingredients and health-improving properties to ensure a wide range of uses in processing complexes. The method is distinguished by blanching with hot steam at a pressure in the working chamber of 0.1 MPa for 8...10 min, followed by rubbing to an average particle size of 30...50 µm with a content of 10...11+2 % SR. Subsequent heating of the puree-like mass to 40...45 °C and concentration in a rotary-film evaporator to a content of 20...30+2 % DM at a temperature of 55...60 °C for 55...95 s. The technology for producing concentrated paste from Jerusalem artichoke tubers allows preserving the biological potential of raw materials during the concentration process due to gentle low-temperature processing.
The content of functionally physiological ingredients of the puree mass was determined: active acidity – 4.2 pH, dietary fiber – 3.3 g/100 g puree, pectin – 1.25 %, inulin – 10.05 g/100 g puree, and are also important.
According to an improved method for the production of a pasty semi-finished product from Jerusalem artichoke tuber, an apparatus-technological scheme is proposed. The selected equipment line is distinguished by resource efficiency and small overall dimensions and can be located in the places where raw materials are collected. The produced paste-like semi-finished product of a high degree of readiness from Jerusalem artichoke contains (in gr.): mono- and disaccharides – 3.6; inulin – 20.3; starch – 10.7; dietary fiber – 14.4 and organic acid – 0.11 and has attractive organoleptic properties. A pasty semi-finished product of a high degree of readiness has been made, which can be recommended as a vitamin supplement (filler) in the production of functional products in various areas of the food and processing industry
Mathematical modeling of drinking water availability in Kharkiv region (Ukraine) at different dynamics of global climate warming
Authors: Rychak Nataliy , Kizilova Natalya 
Published: November 2022

Water purity and availability determines health and life quality of humans, biodiversity and existence of plants and animals. The results of global climate change have been registered all over the world as progressive warming with fast heat waves, accelerated glacier ice melting, variations in the global ocean streams and heat balance, droughts and lack of drinking water, damage to plants and animals. Mathematical modeling of the water exchange in local ecosystems is a very important constituent of detailed analysis of different scenarios of water availability at various trends in the weather change.
The work is aimed at mathematical modelling of water balance in an urban ecosystem accounting for global climate changes. A brief review of the models is presented, and a synthetic model for the water balance on the urban territory of Kharkiv city (Ukraine) based on the statistical dependencies, compartmental system dynamics approach and hydrological equation with probabilistic description of the input parameters is developed. The monthly and year averaged temperature and precipitation curves, time series on downpours, droughts and storms over the Kharkiv region and Kharkiv city during 1908−2012 years were collected from the open databases and analyzed. Gradual increase in the annual temperature was confirmed.
Different scenarios of the regional development (population growth and industry development with increased water demands) and weather changes were tested, and availability of water has been estimated. It was established by numerical simulations, the water insufficiency in the region in 2040 could reach 10−17 % if the mean annual air temperature increases in 0.5−2.5 °T. This will cause damage for plants, animals, and human health. The obtained results are important for decision making by official planning authorities and regional administration
Spatial–temporal variability of seasonal daily minimum flows in southern Quebec: synthesis on the impacts of climate, agriculture and wetlands
Authors: A. Assani Ali , Zeroual Ayoub , Kinnard Christophe , Roy Alexandre 
Published: November 2022

AbstractThis study compares the impacts of climate, agriculture and wetlands on the spatio-temporal variability of seasonal daily minimum flows during the period 1930–2019 in 17 watersheds of southern Quebec (Canada). In terms of spatial variability, correlation analysis revealed that seasonal daily minimum flows were mainly negatively correlated with the agricultural surface area in watersheds in spring, summer and fall. In winter, these flows were positively correlated with the wetland surface area and March temperatures but negatively correlated with snowfall. During all four seasons, spatial variability was characterized by higher daily minimum flow values on the north shore (smaller agricultural surface area and larger wetland surface area) than those on the south shore. As for temporal variability, the application of six tests of the long-term trend analysis showed that most agricultural watersheds are characterized by a significant increase in flows during the four seasons due to the reduction in agricultural area, thus favoring water infiltration, and increased rainfall in summer and fall. On the other hand, the reduction in the snowfall resulted in a reduction in summer daily minimum flows observed in several less agricultural watersheds.